![[Jenkins]](/csi/static/a404d988/images/svgs/logo.svg){kind=logo}
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 reynolds in workspace /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64 [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Done Cleaning up /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/circle1_dot Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/circle2_dot Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/naca_dot Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/ruled_naca_dot Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/tire Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/tire.o Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/tire.so Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/udpTire.o Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial/egads2tri Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial/egads2tri.o Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial/tire Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/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 /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/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 /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/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 /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/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 /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/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 /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/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 /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/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 [reynolds] is in [[macys, macys_VM, reynolds]] Run condition [Execution node ] enabling perform for step [Execute shell] [LINUX64] $ /bin/bash -xe /tmp/jenkins5092246900398747017.sh + export NOCAPS=true + NOCAPS=true + source /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/ESP_Regression.sh ++ source /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/ESP_Env.sh +++ AFLR_VERSION=10.11.10 +++ export EFCOMP=gfortran +++ EFCOMP=gfortran +++ [[ reynolds == \r\e\y\n\o\l\d\s ]] +++ [[ LINUX64 == \L\I\N\U\X\6\4\.\g\n\u* ]] +++ [[ LINUX64 == *\.\i\f\o\r\t ]] +++ [[ LINUX64 == \D\A\R\W\I\N\6\4\.\g\c\c ]] +++ export ESP_BLOC=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64 +++ ESP_BLOC=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64 +++ export ESP_ROOT=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64 +++ ESP_ROOT=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64 +++ export AWAVE=awavemod.f +++ AWAVE=awavemod.f +++ export RLM_CONNECT_TIMEOUT=350 +++ RLM_CONNECT_TIMEOUT=350 +++ [[ reynolds == *\r\e\y\n\o\l\d\s* ]] +++ [[ reynolds == \r\e\y\n\o\l\d\s ]] +++ [[ '' == '' ]] +++ export PYTHONHOME=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7 +++ PYTHONHOME=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7 +++ export PATH=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ PATH=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ export LD_LIBRARY_PATH=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib: +++ LD_LIBRARY_PATH=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib: +++ export EMPnumProc=4 +++ EMPnumProc=4 +++ export CASROOT=/home/jenkins/util/ESP/OpenCASCADE-7.3.1 +++ CASROOT=/home/jenkins/util/ESP/OpenCASCADE-7.3.1 +++ export CASARCH=. +++ CASARCH=. +++ export LD_LIBRARY_PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.3.1/lib:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib: +++ LD_LIBRARY_PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.3.1/lib:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib: +++ export ESP_EXTERN_LIBS=/home/jenkins/util/ESP/ExternLibs +++ ESP_EXTERN_LIBS=/home/jenkins/util/ESP/ExternLibs +++ export AFLR=/home/jenkins/util/AFLR/aflr_lib_10.11.10 +++ AFLR=/home/jenkins/util/AFLR/aflr_lib_10.11.10 +++ export AFLR_ARCH=Linux-x86-64 +++ AFLR_ARCH=Linux-x86-64 +++ export PATH=/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ PATH=/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ export CART3D=/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28 +++ CART3D=/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28 +++ export PATH=/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ PATH=/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ export PATH=/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ PATH=/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ export IRIT_LIB=/home/jenkins/util/ESP/IRIT/irit-linux/lib +++ IRIT_LIB=/home/jenkins/util/ESP/IRIT/irit-linux/lib +++ export IRIT_INC=/home/jenkins/util/ESP/IRIT/irit-sm +++ IRIT_INC=/home/jenkins/util/ESP/IRIT/irit-sm +++ '[' -f /opt/intel/compilers_and_libraries/linux/mkl/bin/mklvars.sh ']' +++ source /opt/intel/compilers_and_libraries/linux/mkl/bin/mklvars.sh intel64 ++++ set_mkl_env intel64 ++++ CPRO_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux ++++ export MKLROOT=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl ++++ MKLROOT=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl ++++ __mkl_tmp_SCRIPT_NAME=mklvars.sh ++++ __mkl_tmp_MOD_NAME=mod ++++ __mkl_tmp_LP64_ILP64= ++++ __mkl_tmp_MOD= ++++ __mkl_tmp_TARGET_ARCH= ++++ __mkl_tmp_MKLVARS_VERBOSE= ++++ __mkl_tmp_BAD_SWITCH= ++++ '[' -z intel64 ']' ++++ '[' -n intel64 ']' ++++ '[' intel64 = ia32 ']' ++++ '[' intel64 = intel64 ']' ++++ __mkl_tmp_TARGET_ARCH=intel64 ++++ shift ++++ '[' -n '' ']' ++++ '[' -n '' ']' ++++ '[' -z intel64 ']' ++++ __compiler_dir=/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib ++++ __mkl_lib_dir=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib ++++ __tbb_lib_dir=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib ++++ __cpath=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/include ++++ __subdir_arch_ia32=ia32_lin ++++ __subdir_arch_intel64=intel64_lin ++++ '[' intel64 = ia32 ']' ++++ '[' intel64 = intel64 ']' ++++ __target_arch_path=intel64_lin ++++ __tbb_path_arch= ++++ '[' -z '' ']' ++++ '[' -d /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib ']' ++++ '[' intel64_lin = ia32_lin ']' +++++ set_tbb_path intel64_lin +++++ __tmp_target_arch_path=intel64_lin ++++++ get_tbb_library_directory ++++++ __tbb_tmp_lib_dir=gcc4.1 ++++++ which gcc ++++++ '[' 0 -eq 0 ']' +++++++ gcc --version +++++++ egrep -o ' [0-9]+\.[0-9]+\.[0-9]+.*' +++++++ grep gcc +++++++ sed -e 's/^\ //' ++++++ __tbb_tmp_gcc_version_full='5.5.0-12ubuntu1~16.04) 5.5.0 20171010' ++++++ '[' 0 -eq 0 ']' +++++++ echo '5.5.0-12ubuntu1~16.04) 5.5.0 20171010' +++++++ egrep -o '^[0-9]+\.[0-9]+\.[0-9]+' ++++++ __tbb_tmp_gcc_version=5.5.0 ++++++ '[' -d /lib/intel64/gcc4.8 ']' ++++++ case "${__tbb_tmp_gcc_version}" in ++++++ __tbb_tmp_lib_dir=gcc4.7 ++++++ echo gcc4.7 +++++ __tmp_tbb_subdir=/gcc4.7 +++++ __tmp_tbb_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7 +++++ echo /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7 ++++ __tbb_path_arch=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7 +++++ set_ld_library_path intel64_lin /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7 +++++ __tmp_target_arch_path=intel64_lin +++++ __tmp_ld_library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin +++++ __tmp_tbb_arch_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7 +++++ __tmp_ld_library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin +++++ echo /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin ++++ __ld_library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin +++++ set_library_path intel64_lin /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7 +++++ __tmp_target_arch_path=intel64_lin +++++ __tmp_tbb_arch_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7 +++++ '[' intel64_lin = ia32_lin ']' +++++ __tmp_library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin +++++ __tmp_library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin +++++ echo /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin ++++ __library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin +++++ set_nls_path intel64_lin +++++ __tmp_target_arch_path=intel64_lin +++++ echo /opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin/locale/%l_%t/%N ++++ __nlspath=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin/locale/%l_%t/%N ++++ '[' '' = mod ']' ++++ export LD_LIBRARY_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.3.1/lib:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib: ++++ LD_LIBRARY_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.3.1/lib:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib: ++++ export LIBRARY_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin ++++ LIBRARY_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin ++++ export NLSPATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin/locale/%l_%t/%N ++++ NLSPATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin/locale/%l_%t/%N ++++ export CPATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/include ++++ CPATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/include ++++ export PKG_CONFIG_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/bin/pkgconfig ++++ PKG_CONFIG_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/bin/pkgconfig ++++ '[' '' = verbose ']' +++ export MYSTRAN_directory=/home/jenkins/util/mystran +++ MYSTRAN_directory=/home/jenkins/util/mystran +++ export PATH=/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ PATH=/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ export PATH=/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ PATH=/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games +++ export CAPS_GLYPH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/CAPS/aim/pointwise/glyph +++ CAPS_GLYPH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/CAPS/aim/pointwise/glyph +++ export SU2_HOME=/home/jenkins/util/SU2/SU2_Falcon +++ SU2_HOME=/home/jenkins/util/SU2/SU2_Falcon +++ export SU2_RUN=/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ SU2_RUN=/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ export PATH=/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ PATH=/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ export PYTHONPATH=:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ PYTHONPATH=:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ export TETGEN=/home/jenkins/util/tetgen/tetgen1.6.0 +++ TETGEN=/home/jenkins/util/tetgen/tetgen1.6.0 +++ export PATH=/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ PATH=/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ export PATH=/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ PATH=/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ export PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ export PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ export PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ export PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/pyEGADS:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/pyEGADS:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ [[ reynolds == \m\a\c\y\s* ]] ++++ python-config --includes +++ export 'PYTHONINC=. -I/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m -I/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m' +++ PYTHONINC='. -I/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m -I/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m' ++++ python-config --ldflags +++ export 'PYTHONLIB= -L/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib -lpython3.7m -lcrypt -lpthread -ldl -lutil -lrt -lm ' +++ PYTHONLIB=' -L/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib -lpython3.7m -lcrypt -lpthread -ldl -lutil -lrt -lm ' +++ export PYTHONUNBUFFERED=true +++ PYTHONUNBUFFERED=true +++ python --version Python 3.7.7 +++ [[ LINUX64 == \D\A\R\W\I\N\6\4\.\g\c\c ]] +++ export CSMDATA=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/data +++ CSMDATA=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/data ++ source /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/ESPbfr.sh +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ +++ tar -xvf /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/ESPbfr.tgz ESP/ ESP/.DS_Store ESP/CYGWIN64/ ESP/DARWIN64/ ESP/LINUX64/ ESP/udunits/ ESP/WIN64/ ESP/WIN64/.DS_Store ESP/WIN64/bin/ ESP/WIN64/include/ ESP/WIN64/lib/ ESP/WIN64/obj/ ESP/WIN64/test/ ESP/WIN64/lib/.DS_Store ESP/WIN64/lib/expat.dll ESP/WIN64/lib/libgcc_s_sjlj-1.dll ESP/WIN64/lib/libquadmath-0.dll ESP/WIN64/lib/libwinpthread-1.dll ESP/WIN64/lib/nmb.dll ESP/WIN64/lib/nmb.lib ESP/WIN64/lib/udunits2.dll ESP/WIN64/lib/udunits2.lib ESP/WIN64/include/.DS_Store ESP/WIN64/include/converter.h ESP/WIN64/include/nmb.h ESP/WIN64/include/udunits.h ESP/WIN64/include/udunits2.h ESP/WIN64/include/winhelpers/ ESP/WIN64/include/winhelpers/.DS_Store ESP/WIN64/include/winhelpers/gettimeofday.h ESP/WIN64/include/winhelpers/netdb.h ESP/WIN64/include/winhelpers/strings.h ESP/WIN64/include/winhelpers/sys/ ESP/WIN64/include/winhelpers/unistd.h ESP/WIN64/include/winhelpers/websock-w32.h ESP/WIN64/include/winhelpers/sys/time.h ESP/WIN64/bin/ASTRO.D01 ESP/WIN64/bin/ASTRO.IDX ESP/WIN64/bin/mastros.exe ESP/udunits/udunits2-accepted.xml ESP/udunits/udunits2-base.xml ESP/udunits/udunits2-common.xml ESP/udunits/udunits2-derived.xml ESP/udunits/udunits2-prefixes.xml ESP/udunits/udunits2.xml ESP/LINUX64/.DS_Store ESP/LINUX64/bin/ ESP/LINUX64/include/ ESP/LINUX64/lib/ ESP/LINUX64/obj/ ESP/LINUX64/test/ ESP/LINUX64/lib/.DS_Store ESP/LINUX64/lib/libc3dio.a ESP/LINUX64/lib/libCart3D.a ESP/LINUX64/lib/libnmb.so ESP/LINUX64/include/.DS_Store ESP/LINUX64/include/c3dio/ ESP/LINUX64/include/libCart3D/ ESP/LINUX64/include/nmb.h ESP/LINUX64/include/xddm/ ESP/LINUX64/include/xddm/xddm.c ESP/LINUX64/include/xddm/xddm.h ESP/LINUX64/include/xddm/xddmInternals.h ESP/LINUX64/include/libCart3D/.DS_Store ESP/LINUX64/include/libCart3D/basicTypes.h ESP/LINUX64/include/libCart3D/bBox_stuff.h ESP/LINUX64/include/libCart3D/c3d_global.h ESP/LINUX64/include/libCart3D/c3d_timeout.h ESP/LINUX64/include/libCart3D/cartCells.h ESP/LINUX64/include/libCart3D/CaseInfo.h ESP/LINUX64/include/libCart3D/ConvInfo.h ESP/LINUX64/include/libCart3D/dualtime.h ESP/LINUX64/include/libCart3D/earthBL_BC.h ESP/LINUX64/include/libCart3D/encoding.h ESP/LINUX64/include/libCart3D/geomStructures.h ESP/LINUX64/include/libCart3D/geomTypes.h ESP/LINUX64/include/libCart3D/GridInfo.h ESP/LINUX64/include/libCart3D/gridStructures.h ESP/LINUX64/include/libCart3D/hex.h ESP/LINUX64/include/libCart3D/infoStructures.h ESP/LINUX64/include/libCart3D/int64.h ESP/LINUX64/include/libCart3D/IOinfo.h ESP/LINUX64/include/libCart3D/limiters.h ESP/LINUX64/include/libCart3D/map.h ESP/LINUX64/include/libCart3D/memory_util.h ESP/LINUX64/include/libCart3D/MGinfo.h ESP/LINUX64/include/libCart3D/myLList.h ESP/LINUX64/include/libCart3D/PostProcInfo.h ESP/LINUX64/include/libCart3D/sensors.h ESP/LINUX64/include/libCart3D/SFC.h ESP/LINUX64/include/libCart3D/SolverInfo.h ESP/LINUX64/include/libCart3D/stateVector.h ESP/LINUX64/include/libCart3D/string_util.h ESP/LINUX64/include/libCart3D/timer.h ESP/LINUX64/include/libCart3D/utils_xml.h ESP/LINUX64/include/libCart3D/vortexBC.h ESP/LINUX64/include/c3dio/c3dio_icemcfd.h ESP/LINUX64/include/c3dio/c3dio_lib.h ESP/LINUX64/bin/ASTRO.D01 ESP/LINUX64/bin/ASTRO.IDX ESP/LINUX64/bin/mastros.exe ESP/DARWIN64/.DS_Store ESP/DARWIN64/bin/ ESP/DARWIN64/include/ ESP/DARWIN64/lib/ ESP/DARWIN64/obj/ ESP/DARWIN64/test/ ESP/DARWIN64/lib/libc3dio.a ESP/DARWIN64/lib/libCart3D.a ESP/DARWIN64/lib/libgcc_s.1.dylib ESP/DARWIN64/lib/libnmb.dylib ESP/DARWIN64/lib/libquadmath.0.dylib ESP/DARWIN64/lib/libudunits2.0.dylib ESP/DARWIN64/lib/libudunits2.dylib ESP/DARWIN64/include/.DS_Store ESP/DARWIN64/include/c3dio/ ESP/DARWIN64/include/converter.h ESP/DARWIN64/include/libCart3D/ ESP/DARWIN64/include/nmb.h ESP/DARWIN64/include/udunits.h ESP/DARWIN64/include/udunits2.h ESP/DARWIN64/include/xddm/ ESP/DARWIN64/include/xddm/xddm.c ESP/DARWIN64/include/xddm/xddm.h ESP/DARWIN64/include/xddm/xddmInternals.h ESP/DARWIN64/include/libCart3D/.DS_Store ESP/DARWIN64/include/libCart3D/basicTypes.h ESP/DARWIN64/include/libCart3D/bBox_stuff.h ESP/DARWIN64/include/libCart3D/c3d_global.h ESP/DARWIN64/include/libCart3D/c3d_timeout.h ESP/DARWIN64/include/libCart3D/cartCells.h ESP/DARWIN64/include/libCart3D/CaseInfo.h ESP/DARWIN64/include/libCart3D/ConvInfo.h ESP/DARWIN64/include/libCart3D/dualtime.h ESP/DARWIN64/include/libCart3D/earthBL_BC.h ESP/DARWIN64/include/libCart3D/encoding.h ESP/DARWIN64/include/libCart3D/geomStructures.h ESP/DARWIN64/include/libCart3D/geomTypes.h ESP/DARWIN64/include/libCart3D/GridInfo.h ESP/DARWIN64/include/libCart3D/gridStructures.h ESP/DARWIN64/include/libCart3D/hex.h ESP/DARWIN64/include/libCart3D/infoStructures.h ESP/DARWIN64/include/libCart3D/int64.h ESP/DARWIN64/include/libCart3D/IOinfo.h ESP/DARWIN64/include/libCart3D/limiters.h ESP/DARWIN64/include/libCart3D/map.h ESP/DARWIN64/include/libCart3D/memory_util.h ESP/DARWIN64/include/libCart3D/MGinfo.h ESP/DARWIN64/include/libCart3D/myLList.h ESP/DARWIN64/include/libCart3D/PostProcInfo.h ESP/DARWIN64/include/libCart3D/sensors.h ESP/DARWIN64/include/libCart3D/SFC.h ESP/DARWIN64/include/libCart3D/SolverInfo.h ESP/DARWIN64/include/libCart3D/stateVector.h ESP/DARWIN64/include/libCart3D/string_util.h ESP/DARWIN64/include/libCart3D/timer.h ESP/DARWIN64/include/libCart3D/utils_xml.h ESP/DARWIN64/include/libCart3D/vortexBC.h ESP/DARWIN64/include/c3dio/c3dio_icemcfd.h ESP/DARWIN64/include/c3dio/c3dio_lib.h ESP/DARWIN64/bin/ASTRO.D01 ESP/DARWIN64/bin/ASTRO.IDX ESP/DARWIN64/bin/mastros.exe ESP/CYGWIN64/.DS_Store ESP/CYGWIN64/bin/ ESP/CYGWIN64/include/ ESP/CYGWIN64/lib/ ESP/CYGWIN64/obj/ ESP/CYGWIN64/test/ ESP/CYGWIN64/lib/.DS_Store ESP/CYGWIN64/lib/libgcc_s_sjlj-1.dll ESP/CYGWIN64/lib/libquadmath-0.dll ESP/CYGWIN64/lib/libwinpthread-1.dll ESP/CYGWIN64/include/.DS_Store ESP/CYGWIN64/bin/.DS_Store ESP/CYGWIN64/bin/ASTRO.D01 ESP/CYGWIN64/bin/ASTRO.IDX ESP/CYGWIN64/bin/mastros.exe +++ virtualenv --system-site-packages /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv created virtual environment CPython3.7.7.final.0-64 in 365ms creator CPython3Posix(dest=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv, clear=False, global=True) seeder FromAppData(download=False, pip=latest, setuptools=latest, wheel=latest, via=copy, app_data_dir=/home/jenkins/.local/share/virtualenv/seed-app-data/v1.0.1) activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator +++ . /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv/bin/activate ++++ '[' /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv/bin/activate = /tmp/jenkins5092246900398747017.sh ']' ++++ deactivate nondestructive ++++ unset -f pydoc ++++ '[' -z '' ']' ++++ '[' -z '' ']' ++++ '[' -n /bin/bash ']' ++++ hash -r ++++ '[' -z '' ']' ++++ unset VIRTUAL_ENV ++++ '[' '!' nondestructive = nondestructive ']' ++++ VIRTUAL_ENV=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv ++++ export VIRTUAL_ENV ++++ _OLD_VIRTUAL_PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin ++++ PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv/bin:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin ++++ export PATH ++++ '[' -z _ ']' ++++ _OLD_VIRTUAL_PYTHONHOME=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7 ++++ unset PYTHONHOME ++++ '[' -z '' ']' ++++ _OLD_VIRTUAL_PS1= ++++ '[' x '!=' x ']' +++++ basename /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv ++++ PS1='(ESP_venv) ' ++++ export PS1 ++++ alias pydoc ++++ true ++++ '[' -n /bin/bash ']' ++++ hash -r +++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv/bin/pip install -U f90nml Requirement already up-to-date: f90nml in /home/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 '/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv/bin/python -m pip install --upgrade pip' command. +++ [[ reynolds == \m\a\c\y\s* ]] +++ [[ /home/jenkins/util/ESP/ExternLibs == '' ]] +++ '[' -d /home/jenkins/util/ESP/ExternLibs ']' +++ cp /home/jenkins/util/ESP/ExternLibs/intersectWake.so /home/jenkins/util/ESP/ExternLibs/markWakeEdges.so /home/jenkins/util/ESP/ExternLibs/sansLIPAIM.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/src +++ make touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/LINUX64 rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/LINUX64 cp -p ../include/LINUX64 /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/LINUX64 g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD1 -O -I. ../util/SurrealD1_btest.cpp /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD1 SurrealD1_test_suite Complete! g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD4 -O -I. ../util/SurrealD4_btest.cpp /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD4 SurrealD4_test_suite Complete! g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS1 -O -I. ../util/SurrealS1_btest.cpp /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS1 SurrealS1_test_suite Complete! g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS4 -O -I. ../util/SurrealS4_btest.cpp ../util/SurrealS4_btest.cpp: In function ‘void multiply_deriv2()’: ../util/SurrealS4_btest.cpp:1253:23: note: variable tracking size limit exceeded with -fvar-tracking-assignments, retrying without BOOST_AUTO_TEST_CASE( multiply_deriv2 ) ^ ../util/SurrealS4_btest.cpp:19:42: note: in definition of macro ‘BOOST_AUTO_TEST_CASE’ #define BOOST_AUTO_TEST_CASE( fun ) void fun() ^ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS4 SurrealS4_test_suite Complete! (cd ../util; make) make[1]: Entering directory '/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/util' gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 uvmap/main/uvmap.c -Iuvmap \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_cpu_message.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_cpu_message.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_bnd_adj.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_bnd_adj.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_ibfibf.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_ibfibf.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_test.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_test.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_message.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_message.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_version.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_version.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_ibfin.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_ibfin.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_find_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_find_uv.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_test.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_test.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_gen.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_gen.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_find_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_find_uv.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_read.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_read.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_iccin.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_iccin.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_add.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_add.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_struct_free.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_struct_free.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_gen_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_gen_uv.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_read.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_read.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_struct_tasks.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_struct_tasks.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_idibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_idibe.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_inibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_inibe.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_write.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_write.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_from_egads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_from_egads.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_chk_area_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_chk_area_uv.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_norm_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_norm_uv.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_malloc.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_malloc.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_write.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_write.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_ibeibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_ibeibe.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_iccibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_iccibe.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_to_egads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_to_egads.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_gen.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_gen.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_mben_disc.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_mben_disc.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_solve.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_solve.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_inl_uv_bnd.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_inl_uv_bnd.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 egadsUVmap.c -Iuvmap \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsUVmap.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a (cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsUVmap.o uvmap_ibfibf.o EG_uvmap_struct_free.o uvmap_message.o uvmap_test.o uvmap_chk_area_uv.o uvmap_read.o uvmap_gen_uv.o uvmap_inl_uv_bnd.o EG_uvmap_read.o uvmap_idibe.o uvmap_iccin.o uvmap_cpu_message.o uvmap_malloc.o uvmap_to_egads.o uvmap_iccibe.o uvmap_add.o uvmap_bnd_adj.o EG_uvmap_test.o uvmap_ibfin.o EG_uvmap_find_uv.o uvmap_find_uv.o uvmap_write.o uvmap_version.o uvmap_struct_tasks.o uvmap_gen.o uvmap_inibe.o uvmap_norm_uv.o EG_uvmap_write.o uvmap_ibeibe.o uvmap_mben_disc.o EG_uvmap_gen.o uvmap_solve.o uvmap_from_egads.o; ) ar: creating /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/uvmap.exe /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -luvmap -lrt -lm make[1]: Leaving directory '/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/util' g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \ -I. egadsGeom.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsGeom.o g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \ -I. egadsHLevel.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsHLevel.o g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \ -I. egadsTopo.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTopo.o g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \ -I. egadsCopy.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsCopy.o g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \ -I. egadsSpline.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSpline.o g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \ -I. egadsIO.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsIO.o g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \ -I. egadsSplineFit.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSplineFit.o g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \ -I. egadsSkinning.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSkinning.o g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \ -I. egadsTessSens.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTessSens.o g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \ -I. BRepLib_FuseEdges.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/BRepLib_FuseEdges.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsBase.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsBase.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsMemory.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsMemory.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsAttrs.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsAttrs.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTess.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsTessInp.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTessInp.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsTris.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTris.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsQuads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsQuads.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsFit.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsFit.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsRobust.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsRobust.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsSBO.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSBO.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ prmCfit.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/prmCfit.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ prmGrid.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/prmGrid.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ prmUV.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/prmUV.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsExport.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsExport.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsEffect.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsEffect.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \ egadsSolids.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSolids.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -DLINUX64 -I../include ../util/emp.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/emp.o g++ -m64 -g -x c++ -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I. -I../include \ ../util/evaluate.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/evaluate.o g++ -m64 -g -x c++ -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I. -I../include \ ../util/rational.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/rational.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include -I../util \ ../util/regQuads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/regQuads.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegads.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegads.so (cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegads.so \ 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 \ -L/home/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -luvmap -lTKBool -lTKernel -lTKFeat -lTKBO -lTKGeomAlgo -lTKMath -lTKOffset -lTKPrim -lTKTopAlgo -lTKBRep -lTKG2d -lTKG3d -lTKGeomBase -lTKShHealing -lTKSTEP -lTKSTEP209 -lTKSTEPBase -lTKSTEPAttr -lTKXSBase -lTKIGES -lTKFillet -pthread -lm -lstdc++ -lrt ) touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a cp /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a (cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; \ ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a egadsBase.o egadsMemory.o egadsAttrs.o egadsTess.o egadsTessInp.o egadsTris.o egadsQuads.o egadsFit.o egadsRobust.o egadsSBO.o prmCfit.o prmGrid.o prmUV.o egadsExport.o 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; ) gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsBase.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsBase.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsMemory.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsMemory.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsAttrs.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsAttrs.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsTess.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsHLevel.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsHLevel.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsGeom.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsGeom.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsTopo.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsTopo.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a (cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a fgadsBase.o fgadsMemory.o fgadsAttrs.o fgadsTess.o fgadsHLevel.o fgadsGeom.o fgadsTopo.o; ) ar: creating /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a (cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a emp.o; ) ar: creating /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.h cp -p ../include/egads.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads_dot.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads_dot.h cp -p ../include/egads_dot.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads_dot.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.inc rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.inc cp -p ../include/egads.inc /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.inc touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsErrors.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsErrors.h cp -p ../include/egadsErrors.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsErrors.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTypes.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTypes.h cp -p ../include/egadsTypes.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTypes.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/emp.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/emp.h cp -p ../include/emp.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/emp.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/prm.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/prm.h cp -p ../include/prm.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/prm.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.h cp -p ../include/wsserver.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.inc rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.inc cp -p ../include/wsserver.inc /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.inc touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsss.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsss.h cp -p ../include/wsss.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsss.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTris.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTris.h cp -p egadsTris.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTris.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineFit.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineFit.h cp -p egadsSplineFit.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineFit.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineVels.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineVels.h cp -p egadsSplineVels.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineVels.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsf90.inc rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsf90.inc cp -p ../include/egadsf90.inc /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsf90.inc mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealD.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealD.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealD_Lazy.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealD_Lazy.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealD_Trad.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealD_Trad.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealS.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealS.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealS_Lazy.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealS_Lazy.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealS_Trad.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealS_Trad.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/always_inline.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/always_inline.h *** EGADS Build Complete! *** +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/wvServer +++ make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include base64-decode.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/base64-decode.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include handshake.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/handshake.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include client-handshake.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/client-handshake.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include libwebsockets.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/libwebsockets.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include extension-deflate-stream.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/extension-deflate-stream.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include md5.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/md5.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include extension-x-google-mux.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/extension-x-google-mux.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include parsers.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsers.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include extension.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/extension.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include sha-1.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sha-1.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include browserMessage.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/browserMessage.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include server.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/server.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include wv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/wv.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fwv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fwv.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libwsserver.a rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libwsserver.a (cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libwsserver.a base64-decode.o handshake.o client-handshake.o libwebsockets.o extension-deflate-stream.o md5.o extension-x-google-mux.o parsers.o extension.o sha-1.o browserMessage.o server.o wv.o fwv.o; ) ar: creating /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libwsserver.a gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -DSTANDALONE server.c \ -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/servertest.o gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/server /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/servertest.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver \ -lpthread -lz -lm +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/test ++++ ls addKnots.make agglom.make approx.make blend.make BSplineIGES.make chamfer.make closure.make CSys.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 GBO.make globalTess.make hollowFace.make hollow.make intersect.make makeCone.make makeFace3D.make makeLoop.make mapTess.make mofb.make mssb.make multiContext.make offset.make rebuild.make ref.make replace.make revolve.make ruled.make SBO.make scribe.make sew.make 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 vTessInp.make vTess.make xform.make +++ for file in '`ls *.make`' +++ make -f addKnots.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include addKnots.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/addKnots.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/addKnots /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/addKnots.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f agglom.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include agglom.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/agglom.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/agglom /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/agglom.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lrt -legads -lm +++ for file in '`ls *.make`' +++ make -f approx.make gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include approx.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/approx.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/approx /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/approx.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads \ -legads -lstdc++ +++ for file in '`ls *.make`' +++ make -f blend.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include blend.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/blend.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/blend /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/blend.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f BSplineIGES.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include BSplineIGES.c -o \ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/BSplineIGES.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/BSplineIGES /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/BSplineIGES.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f chamfer.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include chamfer.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/chamfer.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/chamfer /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/chamfer.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f closure.make gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include closure.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/closure.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/closure /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/closure.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads \ -legads -lstdc++ +++ for file in '`ls *.make`' +++ make -f CSys.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include CSys.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/CSys.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/CSys /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/CSys.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f edge2WB.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include edge2WB.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/edge2WB.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/edge2WB /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/edge2WB.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f edges.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include edges.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/edges.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/edges /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/edges.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f effective.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include effective.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/effective.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/effective /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/effective.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f egads2cart.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egads2cart.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2cart.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egads2cart /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2cart.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f egads2ply.make g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. egads2ply.cpp -std=c++11 \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2ply.o g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I. tinyply.cpp -std=c++11 -w \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/tinyply.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egads2ply /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2ply.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/tinyply.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f egadsGeom_dot.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egadsGeom_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsGeom_dot.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsGeom_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsGeom_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f egadsHLevel_dot.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egadsHLevel_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsHLevel_dot.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsHLevel_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsHLevel_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f egadsSpline_dot.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egadsSpline_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSpline_dot.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsSpline_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSpline_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f egadsTopo_dot.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egadsTopo_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTopo_dot.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsTopo_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTopo_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f exportLite.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include ../src/egadsExport.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/exportLite.o -DSTANDALONE g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/exportLite /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/exportLite.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f extrot.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include extrot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/extrot.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/extrot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/extrot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f fillet.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fillet.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fillet.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/fillet /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fillet.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f fit.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fit.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fit.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/fit /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fit.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f fitTri.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fitTri.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fitTri.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/fitTri /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fitTri.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f fullAttr.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fullAttr.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fullAttr.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/fullAttr /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fullAttr.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f fuseSheets.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fuseSheets.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fuseSheets.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/fuseSheets /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fuseSheets.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f GBO.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include GBO.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/GBO.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/GBO /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/GBO.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f globalTess.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include globalTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/globalTess.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/globalTess /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/globalTess.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f hollowFace.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include hollowFace.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollowFace.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/hollowFace /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollowFace.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f hollow.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include hollow.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollow.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/hollow /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollow.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f intersect.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include intersect.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/intersect.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/intersect /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/intersect.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f makeCone.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include makeCone.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeCone.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/makeCone /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeCone.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f makeFace3D.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include makeFace3D.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeFace3D.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/makeFace3D /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeFace3D.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f makeLoop.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include makeLoop.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeLoop.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/makeLoop /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeLoop.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f mapTess.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include mapTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mapTess.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/mapTess /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mapTess.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f mofb.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include mofb.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mofb.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/mofb /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mofb.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f mssb.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include mssb.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mssb.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/mssb /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mssb.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f multiContext.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include multiContext.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/multiContext.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/multiContext /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/multiContext.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f offset.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include offset.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/offset.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/offset /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/offset.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f rebuild.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include rebuild.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/rebuild.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/rebuild /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/rebuild.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f ref.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include ref.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ref.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/ref /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ref.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f replace.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include replace.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/replace.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/replace /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/replace.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f revolve.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include revolve.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/revolve.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/revolve /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/revolve.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f ruled.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include ruled.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/ruled /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f SBO.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include SBO.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SBO.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/SBO /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SBO.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f scribe.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include scribe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/scribe.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/scribe /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/scribe.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f sew.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include sew.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sew.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/sew /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sew.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f smallEdges.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include smallEdges.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/smallEdges.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/smallEdges /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/smallEdges.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f step.make gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include step.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/step.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/step /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/step.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads -legads \ -lstdc++ +++ for file in '`ls *.make`' +++ make -f sweep.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include sweep.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sweep.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/sweep /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sweep.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ for file in '`ls *.make`' +++ make -f test.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include testc.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/testc.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/testc /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/testc.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include testf.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/testf.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/testf /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/testf.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads -legads \ -lstdc++ gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include parsec.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsec.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/parsec /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsec.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include parsef.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsef.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/parsef /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsef.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads -legads \ -lstdc++ +++ for file in '`ls *.make`' +++ make -f tolerance.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include tolerance.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/tolerance.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/tolerance /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/tolerance.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \ -lrt -lm +++ for file in '`ls *.make`' +++ make -f union.make gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include union.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/union.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/union /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/union.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads -legads \ -lstdc++ +++ for file in '`ls *.make`' +++ make -f vAttr.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vAttr.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vAttr.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vAttr /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vAttr.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm +++ for file in '`ls *.make`' +++ make -f vCurvature.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vCurvature.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vCurvature.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vCurvature /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vCurvature.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm +++ for file in '`ls *.make`' +++ make -f vEffect.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vEffect.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEffect.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vEffect /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEffect.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm +++ for file in '`ls *.make`' +++ make -f vEto.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vEto.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEto.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vEto /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEto.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -lpthread -lz -lrt -lm +++ for file in '`ls *.make`' +++ make -f vFrame.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vFrame.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vFrame.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vFrame /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vFrame.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -lpthread -lz -lrt -lm +++ for file in '`ls *.make`' +++ make -f vGeom.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vGeom.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vGeom.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vGeom /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vGeom.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads \ -lpthread -lz -lrt -lm +++ for file in '`ls *.make`' +++ make -f vQuad.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vQuad.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vQuad.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vQuad /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vQuad.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm +++ for file in '`ls *.make`' +++ make -f vTessInp.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vTessInp.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTessInp.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vTessInp /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTessInp.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm +++ for file in '`ls *.make`' +++ make -f vTess.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTess.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include ../util/retessFaces.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/retessFaces.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vTesstatic /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTess.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/retessFaces.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legadstatic -L/home/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lTKBool -lTKernel -lTKFeat -lTKBO -lTKGeomAlgo -lTKMath -lTKOffset -lTKPrim -lTKTopAlgo -lTKBRep -lTKG2d -lTKG3d -lTKGeomBase -lTKShHealing -lTKSTEP -lTKSTEP209 -lTKSTEPBase -lTKSTEPAttr -lTKXSBase -lTKIGES -lTKFillet -pthread -lm \ -lpthread -lz -lrt -lm g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vTess /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTess.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/retessFaces.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm +++ for file in '`ls *.make`' +++ make -f xform.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include xform.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/xform.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/xform /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/xform.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial +++ make -f tire.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include tire.c g++ -m64 -g -o tire tire.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ make -f egads2tri.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egads2tri.c g++ -m64 -g -o egads2tri egads2tri.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src +++ make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. circle1_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle1_dot.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. pingBodies.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o gcc -m64 -g -o circle1_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle1_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. circle2_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle2_dot.o gcc -m64 -g -o circle2_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle2_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. naca_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca_dot.o gcc -m64 -g -o naca_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. ruled_naca_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled_naca_dot.o gcc -m64 -g -o ruled_naca_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled_naca_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/src +++ make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. serveCSM.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/serveCSM.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. OpenCSM.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/OpenCSM.o gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udp.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udp.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libocsm.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libocsm.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libocsm.so \ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/OpenCSM.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udp.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -ldl -lm gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/serveCSM /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/serveCSM.o -lrt -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -lwsserver -legads -lpthread -lz -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. sensCSM.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sensCSM.o gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sensCSM.o -lrt -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpBezier.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBezier.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/bezier.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/bezier.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/bezier.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBezier.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpBiconvex.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBiconvex.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/biconvex.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/biconvex.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/biconvex.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBiconvex.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpBox.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBox.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/box.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/box.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/box.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBox.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCatmull.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCatmull.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/catmull.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/catmull.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/catmull.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCatmull.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCompare.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCompare.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/compare.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/compare.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/compare.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCompare.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCreateBEM.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreateBEM.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createBEM.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createBEM.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createBEM.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreateBEM.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCreatePoly.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreatePoly.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createPoly.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createPoly.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createPoly.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreatePoly.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpCsm.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpCsm.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/csm.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/csm.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/csm.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpCsm.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfDroop.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfDroop.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/droop.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/droop.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/droop.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfDroop.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfEditAttr.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfEditAttr.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/editAttr.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/editAttr.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/editAttr.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfEditAttr.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpEllipse.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpEllipse.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ellipse.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ellipse.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ellipse.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpEllipse.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpFitcurve.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFitcurve.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/fitcurve.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/fitcurve.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/fitcurve.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFitcurve.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpFreeform.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFreeform.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/freeform.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/freeform.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/freeform.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFreeform.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfFlend.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfFlend.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/flend.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/flend.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/flend.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfFlend.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfGanged.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGanged.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ganged.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ganged.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ganged.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGanged.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfGuide.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGuide.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/guide.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/guide.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/guide.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGuide.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfMatchBodys.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfMatchBodys.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/matchBodys.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/matchBodys.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/matchBodys.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfMatchBodys.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpHex.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpHex.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/hex.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/hex.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/hex.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpHex.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpImport.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpImport.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/import.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/import.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/import.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpImport.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpKulfan.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpKulfan.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/kulfan.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/kulfan.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/kulfan.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpKulfan.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpNaca.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpNurbbody.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNurbbody.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/nurbbody.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/nurbbody.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/nurbbody.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNurbbody.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpParsec.cpp \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpParsec.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/parsec.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/parsec.so g++ -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/parsec.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpParsec.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpPod.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPod.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/pod.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/pod.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/pod.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPod.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpPoly.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPoly.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/poly.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/poly.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/poly.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPoly.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfPrintBbox.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBbox.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBbox.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBbox.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBbox.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBbox.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfPrintBrep.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBrep.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBrep.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBrep.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBrep.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBrep.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpRadwaf.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpRadwaf.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/radwaf.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/radwaf.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/radwaf.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpRadwaf.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpSample.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSample.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sample.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sample.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sample.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSample.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpSew.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSew.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sew.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sew.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sew.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSew.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpStag.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpStag.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stag.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stag.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stag.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpStag.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfStiffener.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfStiffener.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stiffener.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stiffener.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stiffener.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfStiffener.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpSupell.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSupell.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/supell.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/supell.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/supell.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSupell.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpWaffle.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpWaffle.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/waffle.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/waffle.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/waffle.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpWaffle.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. eggPDT2.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/eggPDT2.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/PDT2.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/PDT2.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/PDT2.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/eggPDT2.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \ -legads -lm gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpNaca456.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca456.o gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer naca456.f90 -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca456.o -J /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca456.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca456.so gfortran -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca456.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca456.o \ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca456.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/OpenCSM.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/OpenCSM.h cp -p OpenCSM.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/OpenCSM.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/common.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/common.h cp -p common.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/common.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udp.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udp.h cp -p udp.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udp.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egg.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egg.h cp -p egg.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egg.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.h cp -p udpUtilities.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.c rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.c cp -p udpUtilities.c /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.c +++ [[ /home/jenkins/util/ESP/IRIT/irit-linux/lib != '' ]] +++ [[ /home/jenkins/util/ESP/IRIT/irit-sm != '' ]] +++ make -f udfTile.make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -DLINUX386 -D__UNIX__ -DSTRICMP -DUSLEEP -DTIMES -DRAND -DIRIT_HAVE_XML_LIB -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. -I/home/jenkins/util/ESP/IRIT/irit-sm udfTile.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfTile.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/tile.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/tile.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/tile.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfTile.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -locsm -L/home/jenkins/util/ESP/IRIT/irit-linux/lib -lIritExtLib -lIritGrapLib -lIritUserLib -lIritRndrLib -lIritBoolLib -lIritPrsrLib -lIritVMdlLib -lIritMdlLib -lIritMvarLib -lIritTrimLib -lIritTrivLib -lIritTrngLib -lIritSymbLib -lIritCagdLib -lIritGeomLib -lIritMiscLib -lIritXtraLib -lIritExtLib -lIritGrapLib -lIritUserLib -lIritRndrLib -lIritBoolLib -lIritPrsrLib -lIritVMdlLib -lIritMdlLib -lIritMvarLib -lIritTrimLib -lIritTrivLib -lIritTrngLib -lIritSymbLib -lIritCagdLib -lIritGeomLib -lIritMiscLib -lIritXtraLib -lrt -lm +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data +++ make gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include udpTire.c -o tire.o gcc -m64 -g -o tire tire.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -DUDP -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include udpTire.c touch tire.so rm tire.so gcc -m64 -g -shared -Wl,-no-undefined -o tire.so udpTire.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt +++ [[ true == '' ]] +++ ln -f -s /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/udc /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64 ++++ find /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/data/training/ -name Makefile ++ mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test ++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test ++ source /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/RunRegression.sh +++ [[ 0 == 1 ]] +++ [[ 0 == 2 ]] +++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64 == '' ]] +++ [[ sensCSM/config == '' ]] +++ [[ 7.3 == '' ]] +++ [[ ! -d /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/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 /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM ++++ local source=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test ++++ local target=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM ++++ local common_part=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test ++++ local result= ++++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM == \/\j\e\n\k\i\n\s\/\w\o\r\k\s\p\a\c\e\/\E\S\P\_\Q\u\i\c\k\T\e\s\t\O\c\s\m\/\7\.\3\/\s\e\n\s\C\S\M\/\c\o\n\f\i\g\/\L\I\N\U\X\6\4\/\O\p\e\n\C\S\M ]] +++++ dirname /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test ++++ common_part=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP ++++ [[ -z '' ]] ++++ local result=.. ++++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM == \/\j\e\n\k\i\n\s\/\w\o\r\k\s\p\a\c\e\/\E\S\P\_\Q\u\i\c\k\T\e\s\t\O\c\s\m\/\7\.\3\/\s\e\n\s\C\S\M\/\c\o\n\f\i\g\/\L\I\N\U\X\6\4\/\O\p\e\n\C\S\M ]] +++++ dirname /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP ++++ common_part=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64 ++++ [[ -z .. ]] ++++ local result=../.. ++++ [[ /OpenCSM == \/\j\e\n\k\i\n\s\/\w\o\r\k\s\p\a\c\e\/\E\S\P\_\Q\u\i\c\k\T\e\s\t\O\c\s\m\/\7\.\3\/\s\e\n\s\C\S\M\/\c\o\n\f\i\g\/\L\I\N\U\X\6\4\/\O\p\e\n\C\S\M ]] ++++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64 == \/ ]] ++++ forward_part=/OpenCSM ++++ [[ -n ../.. ]] ++++ [[ -n /OpenCSM ]] ++++ local result=../../OpenCSM ++++ echo ../../OpenCSM +++ export OPENCSM=../../OpenCSM +++ OPENCSM=../../OpenCSM +++ sort -f +++ find ../../OpenCSM/trunk/data/basic -name 'design*.csm' +++ source /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/splitCSMFiles.sh ++++ [[ -n '' ]] +++ export SENS=-config +++ SENS=-config +++ cp /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/data/sensFailure.txt . +++ set +x total 11M -rw-r--r-- 1 jenkins jenkins 1.3M Nov 7 2018 ASTRO.D01 -rw-r--r-- 1 jenkins jenkins 316K Nov 7 2018 ASTRO.IDX -rwxr-xr-x 1 jenkins jenkins 8.2M Nov 7 2018 mastros.exe -rwxrwxr-x 1 jenkins jenkins 140K Jan 20 11:59 sensCSM -rwxrwxr-x 1 jenkins jenkins 981K Jan 20 11:59 serveCSM Testing CSM files: ../../OpenCSM/trunk/data/basic/design0a.csm ../../OpenCSM/trunk/data/basic/design0b.csm ../../OpenCSM/trunk/data/basic/design0c.csm ../../OpenCSM/trunk/data/basic/design0.csm ../../OpenCSM/trunk/data/basic/design0d.csm ../../OpenCSM/trunk/data/basic/design0e.csm ../../OpenCSM/trunk/data/basic/design0f.csm ../../OpenCSM/trunk/data/basic/design0g.csm ../../OpenCSM/trunk/data/basic/design0h.csm ../../OpenCSM/trunk/data/basic/design0i.csm ../../OpenCSM/trunk/data/basic/design0j.csm ../../OpenCSM/trunk/data/basic/design0k.csm ../../OpenCSM/trunk/data/basic/design0m.csm ../../OpenCSM/trunk/data/basic/design0n1.csm ../../OpenCSM/trunk/data/basic/design0n2.csm ../../OpenCSM/trunk/data/basic/design0n3.csm ../../OpenCSM/trunk/data/basic/design0n4.csm ../../OpenCSM/trunk/data/basic/design0o1.csm ../../OpenCSM/trunk/data/basic/design0o2.csm ../../OpenCSM/trunk/data/basic/design0o3.csm ../../OpenCSM/trunk/data/basic/design0o4.csm ../../OpenCSM/trunk/data/basic/design0p.csm ../../OpenCSM/trunk/data/basic/design0q.csm ../../OpenCSM/trunk/data/basic/design0r.csm ../../OpenCSM/trunk/data/basic/design0s.csm ../../OpenCSM/trunk/data/basic/design0t1.csm ../../OpenCSM/trunk/data/basic/design0t2.csm ../../OpenCSM/trunk/data/basic/design0t3.csm ../../OpenCSM/trunk/data/basic/design0u.csm ../../OpenCSM/trunk/data/basic/design0v.csm ../../OpenCSM/trunk/data/basic/design0w.csm ../../OpenCSM/trunk/data/basic/design1a.csm ../../OpenCSM/trunk/data/basic/design1b.csm ../../OpenCSM/trunk/data/basic/design2.csm ../../OpenCSM/trunk/data/basic/design3.csm ../../OpenCSM/trunk/data/basic/design4.csm ../../OpenCSM/trunk/data/basic/design5.csm ../../OpenCSM/trunk/data/basic/design6.csm ../../OpenCSM/trunk/data/basic/design7.csm ../../OpenCSM/trunk/data/basic/design8a.csm ../../OpenCSM/trunk/data/basic/design8b.csm ../../OpenCSM/trunk/data/basic/design8c.csm ../../OpenCSM/trunk/data/basic/design8.csm ../../OpenCSM/trunk/data/basic/design8d.csm ../../OpenCSM/trunk/data/basic/design9.csm ../../OpenCSM/trunk/data/basic/designA.csm ../../OpenCSM/trunk/data/basic/designB1.csm ../../OpenCSM/trunk/data/basic/designB2.csm ../../OpenCSM/trunk/data/basic/designB3.csm ../../OpenCSM/trunk/data/basic/designB4.csm ../../OpenCSM/trunk/data/basic/designB5.csm ../../OpenCSM/trunk/data/basic/designC0.csm ../../OpenCSM/trunk/data/basic/designC1a.csm ../../OpenCSM/trunk/data/basic/designC1b.csm ../../OpenCSM/trunk/data/basic/designC2a.csm ../../OpenCSM/trunk/data/basic/designC2b.csm ../../OpenCSM/trunk/data/basic/designC3a.csm ../../OpenCSM/trunk/data/basic/designC3b.csm ../../OpenCSM/trunk/data/basic/designC4a.csm ../../OpenCSM/trunk/data/basic/designC4b.csm ../../OpenCSM/trunk/data/basic/designC5a.csm ../../OpenCSM/trunk/data/basic/designC5b.csm ../../OpenCSM/trunk/data/basic/designC6a.csm ../../OpenCSM/trunk/data/basic/designC6b.csm ../../OpenCSM/trunk/data/basic/designD0a.csm ../../OpenCSM/trunk/data/basic/designD0b.csm ../../OpenCSM/trunk/data/basic/designD0c.csm ../../OpenCSM/trunk/data/basic/designD1a.csm ../../OpenCSM/trunk/data/basic/designD1b.csm ../../OpenCSM/trunk/data/basic/designD1c.csm ../../OpenCSM/trunk/data/basic/designD2a.csm ../../OpenCSM/trunk/data/basic/designD2b.csm ../../OpenCSM/trunk/data/basic/designD2c.csm ../../OpenCSM/trunk/data/basic/designD3a.csm ../../OpenCSM/trunk/data/basic/designD3b.csm ../../OpenCSM/trunk/data/basic/designD3c.csm ../../OpenCSM/trunk/data/basic/designD4a.csm ../../OpenCSM/trunk/data/basic/designD4b.csm ../../OpenCSM/trunk/data/basic/designD4c.csm ../../OpenCSM/trunk/data/basic/designD5a.csm ../../OpenCSM/trunk/data/basic/designD5b.csm ../../OpenCSM/trunk/data/basic/designD5c.csm ../../OpenCSM/trunk/data/basic/designD6a0.csm ../../OpenCSM/trunk/data/basic/designD6a1.csm ../../OpenCSM/trunk/data/basic/designD6a2.csm ../../OpenCSM/trunk/data/basic/designD6b0.csm ../../OpenCSM/trunk/data/basic/designD6b1.csm ../../OpenCSM/trunk/data/basic/designD6b2.csm ../../OpenCSM/trunk/data/basic/designD6c0.csm ../../OpenCSM/trunk/data/basic/designD6c1.csm ../../OpenCSM/trunk/data/basic/designD6c2.csm ../../OpenCSM/trunk/data/basic/designE1.csm ../../OpenCSM/trunk/data/basic/designE2.csm ../../OpenCSM/trunk/data/basic/designE3.csm ../../OpenCSM/trunk/data/basic/designE4.csm ../../OpenCSM/trunk/data/basic/designE5.csm ../../OpenCSM/trunk/data/basic/designE6.csm ../../OpenCSM/trunk/data/basic/designE7.csm ../../OpenCSM/trunk/data/basic/designE8.csm ../../OpenCSM/trunk/data/basic/designE9.csm ../../OpenCSM/trunk/data/basic/designEa.csm ../../OpenCSM/trunk/data/basic/designEb.csm ../../OpenCSM/trunk/data/basic/designF0bb.csm ../../OpenCSM/trunk/data/basic/designF1bb.csm ../../OpenCSM/trunk/data/basic/designF1rr.csm ../../OpenCSM/trunk/data/basic/designF1rs.csm ../../OpenCSM/trunk/data/basic/designF1sr.csm ../../OpenCSM/trunk/data/basic/designF1ss.csm ../../OpenCSM/trunk/data/basic/designF2bb.csm ../../OpenCSM/trunk/data/basic/designF2rr.csm ../../OpenCSM/trunk/data/basic/designF2rs.csm ../../OpenCSM/trunk/data/basic/designF2sr.csm ../../OpenCSM/trunk/data/basic/designF2ss.csm ../../OpenCSM/trunk/data/basic/designG0.csm ../../OpenCSM/trunk/data/basic/designG1.csm ../../OpenCSM/trunk/data/basic/designG2.csm ../../OpenCSM/trunk/data/basic/designG3.csm ../../OpenCSM/trunk/data/basic/designG4.csm ../../OpenCSM/trunk/data/basic/designG5.csm ../../OpenCSM/trunk/data/basic/designG6.csm ../../OpenCSM/trunk/data/basic/designH1.csm ../../OpenCSM/trunk/data/basic/designH2.csm ../../OpenCSM/trunk/data/basic/designH3.csm ../../OpenCSM/trunk/data/basic/designH4.csm ../../OpenCSM/trunk/data/basic/designI1.csm ../../OpenCSM/trunk/data/basic/designI2.csm ../../OpenCSM/trunk/data/basic/designI3.csm ../../OpenCSM/trunk/data/basic/designI4.csm ../../OpenCSM/trunk/data/basic/designJ1a.csm ../../OpenCSM/trunk/data/basic/designJ1b.csm ../../OpenCSM/trunk/data/basic/designJ1c.csm ../../OpenCSM/trunk/data/basic/designJ1d.csm ../../OpenCSM/trunk/data/basic/designJ2a.csm ../../OpenCSM/trunk/data/basic/designJ2b.csm ../../OpenCSM/trunk/data/basic/designJ3a.csm ../../OpenCSM/trunk/data/basic/designJ3b.csm ../../OpenCSM/trunk/data/basic/designJ4a.csm ../../OpenCSM/trunk/data/basic/designJ4b.csm ../../OpenCSM/trunk/data/basic/designJ5.csm ../../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/design0a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.082 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m1.568s user 0m1.148s sys 0m0.832s ++++ set +x data/basic/design0a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 2 / 180 ) data/basic/design0b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.121 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m0.189s user 0m0.220s sys 0m0.000s ++++ set +x data/basic/design0b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 3 / 180 ) data/basic/design0c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.2061e-10) d(Edge)/d(xbeg1) check complete with 0 total errors (errmax= 4.7886e-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= 2.0729e-10) d(Edge)/d(ybeg1) check complete with 0 total errors (errmax= 1.4066e-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= 1.2907e-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= 1.8018e-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= 1.4403e-07) d(Edge)/d(rad1) check complete with 0 total errors (errmax= 2.0780e-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= 3.0288e-10) d(Edge)/d(xbeg2) check complete with 0 total errors (errmax= 1.5826e-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= 2.4860e-10) d(Edge)/d(ybeg2) check complete with 0 total errors (errmax= 6.5594e-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= 9.6840e-07) d(Edge)/d(zbeg2) check complete with 0 total errors (errmax= 1.9407e-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= 1.8018e-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= 9.0178e-07) d(Edge)/d(rad2) check complete with 0 total errors (errmax= 1.1897e-06) d(Node)/d(rad2) check complete with 0 total errors (errmax= 1.2989e-06) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.025 sec Sensitivity checks complete with 0 total errors (max config err= 1.9407e-06) with 0 suppressions real 0m1.393s user 0m1.908s sys 0m0.604s ++++ set +x data/basic/design0c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 4 / 180 ) data/basic/design0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.6294e-09) d(Edge)/d(rotz) check complete with 0 total errors (errmax= 2.7739e-09) d(Node)/d(rotz) check complete with 0 total errors (errmax= 1.6562e-09) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "scale" for ibody=6 d(Face)/d(scale) check complete with 0 total errors (errmax= 1.5461e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 1.3593e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 7.2594e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.005 sec Sensitivity checks complete with 0 total errors (max config err= 2.7739e-09) with 0 suppressions real 0m0.230s user 0m0.224s sys 0m0.004s ++++ set +x data/basic/design0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 5 / 180 ) data/basic/design0d.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.005 sec Sensitivity checks complete with 0 total errors (max config err= 2.7956e-10) with 0 suppressions real 0m0.139s user 0m0.148s sys 0m0.004s ++++ set +x data/basic/design0d -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 6 / 180 ) data/basic/design0e.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.0367e-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= 1.2239e-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= 1.8372e-10) d(Node)/d(alpha) check complete with 0 total errors (errmax= 2.4064e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.003 sec Sensitivity checks complete with 8 total errors (max config err= 4.0350e-04) with 0 suppressions real 0m0.233s user 0m0.228s sys 0m0.004s ++++ set +x data/basic/design0e -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 7 / 180 ) data/basic/design0f.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 6.4602e-09) ********************************************************* Starting configuration sensitivity wrt "thick" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=2 Computing finite difference sensitivities for ibody=2 Comparing configuration sensitivities wrt "thick" for ibody=2 d(Face)/d(thick) check complete with 0 total errors (errmax= 7.8793e-05) d(Edge)/d(thick) check complete with 0 total errors (errmax= 7.8575e-05) d(Node)/d(thick) check complete with 0 total errors (errmax= 1.0173e-11) ********************************************************* Starting configuration sensitivity wrt "dx" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=2 Computing finite difference sensitivities for ibody=2 Comparing configuration sensitivities wrt "dx" for ibody=2 d(Face)/d(dx) check complete with 0 total errors (errmax= 1.2365e-10) d(Edge)/d(dx) check complete with 0 total errors (errmax= 1.7840e-10) d(Node)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "dy" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=2 Computing finite difference sensitivities for ibody=2 Comparing configuration sensitivities wrt "dy" for ibody=2 d(Face)/d(dy) check complete with 0 total errors (errmax= 1.5967e-10) d(Edge)/d(dy) check complete with 0 total errors (errmax= 5.6297e-11) d(Node)/d(dy) check complete with 0 total errors (errmax= 2.8756e-11) ********************************************************* Starting configuration sensitivity wrt "dz" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=2 Computing finite difference sensitivities for ibody=2 Comparing configuration sensitivities wrt "dz" for ibody=2 d(Face)/d(dz) check complete with 0 total errors (errmax= 5.8387e-10) d(Edge)/d(dz) check complete with 0 total errors (errmax= 1.4720e-09) d(Node)/d(dz) check complete with 0 total errors (errmax= 5.8387e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.025 sec Sensitivity checks complete with 36 total errors (max config err= 2.0400e-04) with 0 suppressions real 0m0.288s user 0m0.360s sys 0m0.004s ++++ set +x data/basic/design0f -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 8 / 180 ) data/basic/design0g.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.9310e-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= 4.5258e-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= 4.0520e-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= 3.9310e-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= 3.9310e-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= 3.3534e-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= 7.4887e-10) d(Node)/d(yle) check complete with 0 total errors (errmax= 3.0478e-10) ********************************************************* Starting configuration sensitivity wrt "zle[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "zle[1,1]" for ibody=22 d(Face)/d(zle) check complete with 0 total errors (errmax= 3.9310e-10) d(Edge)/d(zle) check complete with 0 total errors (errmax= 1.0431e-10) d(Node)/d(zle) check complete with 0 total errors (errmax= 5.2636e-13) ********************************************************* Starting configuration sensitivity wrt "zle[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "zle[2,1]" for ibody=22 d(Face)/d(zle) check complete with 0 total errors (errmax= 3.9310e-10) d(Edge)/d(zle) check complete with 0 total errors (errmax= 5.4960e-11) d(Node)/d(zle) check complete with 0 total errors (errmax= 5.2636e-13) ********************************************************* Starting configuration sensitivity wrt "zle[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "zle[3,1]" for ibody=22 d(Face)/d(zle) check complete with 0 total errors (errmax= 4.0740e-10) d(Edge)/d(zle) check complete with 0 total errors (errmax= 8.3711e-11) d(Node)/d(zle) check complete with 0 total errors (errmax= 5.2636e-13) ********************************************************* Starting configuration sensitivity wrt "zle[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "zle[4,1]" for ibody=22 d(Face)/d(zle) check complete with 0 total errors (errmax= 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= 4.9834e-09) d(Edge)/d(twist) check complete with 0 total errors (errmax= 7.6645e-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= 1.4809e-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= 5.4928e-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= 2.9722e-09) d(Edge)/d(chord) check complete with 0 total errors (errmax= 3.0340e-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= 1.3265e-08) d(Edge)/d(chord) check complete with 0 total errors (errmax= 9.3899e-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 0.26749938 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 0.26749938 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= -0.00090353 (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 0.26749938 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 0.26749938 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= 0.15592096, err= 0.00015328 (at 1.47426737 0.59500500 0.18526816) iface= 5, ipnt= 111 (Z): anal= 0.13655907, fd= 0.13639905, err= 0.00016002 (at 1.49149007 0.62184525 0.18750500) iface= 5, ipnt= 112 (Z): anal= 0.10620155, fd= 0.10604343, err= 0.00015813 (at 1.51828092 0.66359675 0.19098453) iface= 5, ipnt= 113 (Z): anal= 0.08668687, fd= 0.08653877, err= 0.00014810 (at 1.53550362 0.69043700 0.19322137) iface= 5, ipnt= 132 (Z): anal= 0.12023662, fd= 0.12011353, err= 0.00012309 (at 1.52248369 0.62333638 0.18932631) iface= 5, ipnt= 136 (Z): anal= 0.06373341, fd= 0.06361238, err= 0.00012102 (at 1.56139256 0.72025950 0.19611969) iface= 5, ipnt= 150 (Z): anal= 0.07751432, fd= 0.07740393, err= 0.00011038 (at 1.56467130 0.68670919 0.19488010) iface= 5, ipnt= 153 (Z): anal= 0.15728150, fd= 0.15717419, err= 0.00010730 (at 1.48744244 0.56592806 0.18450773) iface= 5, ipnt= 154 (Z): anal= 0.20565369, fd= 0.20552729, err= 0.00012641 (at 1.40067526 0.53163219 0.17889893) ...too many errors to list d(Face)/d(cambr) check complete with 995 total errors (errmax= 1.1053e-03) d(Edge)/d(cambr) check complete with 0 total errors (errmax= 7.7579e-06) d(Node)/d(cambr) check complete with 0 total errors (errmax= 1.7471e-09) ********************************************************* Starting configuration sensitivity wrt "cambr[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "cambr[3,1]" for ibody=22 iface= 2, ipnt= 107 (Z): anal= 0.15704889, 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= 8.2290e-06) d(Node)/d(cambr) check complete with 0 total errors (errmax= 1.0773e-09) ********************************************************* Starting configuration sensitivity wrt "cambr[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "cambr[4,1]" for ibody=22 iface= 3, ipnt= 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= 3.4928e-06) d(Node)/d(cambr) check complete with 0 total errors (errmax= 6.2252e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 7.175 sec Sensitivity checks complete with 9664 total errors (max config err= 4.4291e-03) with 0 suppressions real 0m15.941s user 0m16.748s sys 0m0.016s ++++ set +x data/basic/design0g -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 9 / 180 ) data/basic/design0h.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0h.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "rx" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=1 Computing finite difference sensitivities for ibody=1 Comparing configuration sensitivities wrt "rx" for ibody=1 d(Face)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00) d(Edge)/d(rx) check complete with 0 total errors (errmax= 2.3907e-10) d(Node)/d(rx) check complete with 0 total errors (errmax= 1.0606e-27) Computing analytic sensitivities (if possible) for ibody=2 Computing finite difference sensitivities for ibody=2 Comparing configuration sensitivities wrt "rx" for ibody=2 d(Face)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00) d(Edge)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=3 Computing finite difference sensitivities for ibody=3 Comparing configuration sensitivities wrt "rx" for ibody=3 d(Face)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00) d(Edge)/d(rx) check complete with 0 total errors (errmax= 2.4392e-10) d(Node)/d(rx) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "ry" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=1 Computing finite difference sensitivities for ibody=1 Comparing configuration sensitivities wrt "ry" for ibody=1 d(Face)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00) d(Edge)/d(ry) check complete with 0 total errors (errmax= 3.8353e-10) d(Node)/d(ry) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=2 Computing finite difference sensitivities for ibody=2 Comparing configuration sensitivities wrt "ry" for ibody=2 d(Face)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00) d(Edge)/d(ry) check complete with 0 total errors (errmax= 3.9702e-10) d(Node)/d(ry) check complete with 0 total errors (errmax= 9.7547e-26) Computing analytic sensitivities (if possible) for ibody=3 Computing finite difference sensitivities for ibody=3 Comparing configuration sensitivities wrt "ry" for ibody=3 d(Face)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00) d(Edge)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "rz" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=1 Computing finite difference sensitivities for ibody=1 Comparing configuration sensitivities wrt "rz" for ibody=1 d(Face)/d(rz) check complete with 0 total errors (errmax= 0.0000e+00) d(Edge)/d(rz) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(rz) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=2 Computing finite difference sensitivities for ibody=2 Comparing configuration sensitivities wrt "rz" for ibody=2 d(Face)/d(rz) check complete with 0 total errors (errmax= 0.0000e+00) d(Edge)/d(rz) check complete with 0 total errors (errmax= 4.8525e-10) d(Node)/d(rz) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=3 Computing finite difference sensitivities for ibody=3 Comparing configuration sensitivities wrt "rz" for ibody=3 d(Face)/d(rz) check complete with 0 total errors (errmax= 0.0000e+00) d(Edge)/d(rz) check complete with 0 total errors (errmax= 3.2152e-10) d(Node)/d(rz) check complete with 0 total errors (errmax= 1.3257e-27) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.002 sec Sensitivity checks complete with 0 total errors (max config err= 4.8525e-10) with 0 suppressions real 0m0.499s user 0m0.484s sys 0m0.012s ++++ set +x data/basic/design0h -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 10 / 180 ) data/basic/design0i.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.8780e-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= 3.9347e-10) d(Edge)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.008 sec Sensitivity checks complete with 0 total errors (max config err= 5.0985e-10) with 0 suppressions real 0m0.279s user 0m0.408s sys 0m0.000s ++++ set +x data/basic/design0i -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 11 / 180 ) data/basic/design0j.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.4613e-10) d(Edge)/d(xle) check complete with 0 total errors (errmax= 2.9998e-10) d(Node)/d(xle) check complete with 0 total errors (errmax= 1.3930e-10) ********************************************************* Starting configuration sensitivity wrt "xle[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "xle[2,1]" for ibody=26 d(Face)/d(xle) check complete with 0 total errors (errmax= 4.8477e-10) d(Edge)/d(xle) check complete with 0 total errors (errmax= 5.5679e-10) d(Node)/d(xle) check complete with 0 total errors (errmax= 3.0478e-10) ********************************************************* Starting configuration sensitivity wrt "xle[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "xle[3,1]" for ibody=26 d(Face)/d(xle) check complete with 0 total errors (errmax= 6.0812e-10) d(Edge)/d(xle) check complete with 0 total errors (errmax= 3.0454e-10) d(Node)/d(xle) check complete with 0 total errors (errmax= 8.2740e-11) ********************************************************* Starting configuration sensitivity wrt "xle[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "xle[4,1]" for ibody=26 d(Face)/d(xle) check complete with 0 total errors (errmax= 3.9350e-10) d(Edge)/d(xle) check complete with 0 total errors (errmax= 5.0869e-10) d(Node)/d(xle) check complete with 0 total errors (errmax= 8.2740e-11) ********************************************************* Starting configuration sensitivity wrt "yle[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "yle[1,1]" for ibody=26 d(Face)/d(yle) check complete with 0 total errors (errmax= 3.9350e-10) d(Edge)/d(yle) check complete with 0 total errors (errmax= 4.3181e-11) d(Node)/d(yle) check complete with 0 total errors (errmax= 4.3368e-19) ********************************************************* Starting configuration sensitivity wrt "yle[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "yle[2,1]" for ibody=26 d(Face)/d(yle) check complete with 0 total errors (errmax= 3.9204e-10) d(Edge)/d(yle) check complete with 0 total errors (errmax= 1.3930e-10) d(Node)/d(yle) check complete with 0 total errors (errmax= 2.8282e-11) ********************************************************* Starting configuration sensitivity wrt "yle[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "yle[3,1]" for ibody=26 d(Face)/d(yle) check complete with 0 total errors (errmax= 4.2856e-10) d(Edge)/d(yle) check complete with 0 total errors (errmax= 1.9376e-10) d(Node)/d(yle) check complete with 0 total errors (errmax= 8.2740e-11) ********************************************************* Starting configuration sensitivity wrt "yle[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "yle[4,1]" for ibody=26 d(Face)/d(yle) check complete with 0 total errors (errmax= 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 -> 1.487 sec Sensitivity checks complete with 227 total errors (max config err= 3.6717e-04) with 0 suppressions real 0m5.142s user 0m5.196s sys 0m0.008s ++++ set +x data/basic/design0j -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 12 / 180 ) data/basic/design0k.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.9155e-10) d(Edge)/d(x6) check complete with 0 total errors (errmax= 3.0431e-10) d(Node)/d(x6) check complete with 0 total errors (errmax= 8.2267e-11) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "x6" for ibody=19 d(Face)/d(x6) check complete with 0 total errors (errmax= 1.1579e-09) d(Edge)/d(x6) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(x6) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "x7" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "x7" for ibody=6 d(Face)/d(x7) check complete with 0 total errors (errmax= 8.4952e-10) d(Edge)/d(x7) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(x7) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=13 Computing finite difference sensitivities for ibody=13 Comparing configuration sensitivities wrt "x7" for ibody=13 d(Face)/d(x7) check complete with 0 total errors (errmax= 5.5231e-10) d(Edge)/d(x7) check complete with 0 total errors (errmax= 1.3132e-10) d(Node)/d(x7) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "x7" for ibody=19 d(Face)/d(x7) check complete with 0 total errors (errmax= 1.1579e-09) d(Edge)/d(x7) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(x7) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "x8" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "x8" for ibody=6 d(Face)/d(x8) check complete with 0 total errors (errmax= 8.4952e-10) d(Edge)/d(x8) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(x8) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=13 Computing finite difference sensitivities for ibody=13 Comparing configuration sensitivities wrt "x8" for ibody=13 d(Face)/d(x8) check complete with 0 total errors (errmax= 4.2431e-10) d(Edge)/d(x8) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(x8) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "x8" for ibody=19 d(Face)/d(x8) check complete with 0 total errors (errmax= 1.1579e-09) d(Edge)/d(x8) check complete with 0 total errors (errmax= 7.4840e-10) d(Node)/d(x8) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "x9" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "x9" for ibody=6 d(Face)/d(x9) check complete with 0 total errors (errmax= 8.4952e-10) d(Edge)/d(x9) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(x9) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=13 Computing finite difference sensitivities for ibody=13 Comparing configuration sensitivities wrt "x9" for ibody=13 d(Face)/d(x9) check complete with 0 total errors (errmax= 4.2431e-10) d(Edge)/d(x9) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(x9) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "x9" for ibody=19 d(Face)/d(x9) check complete with 0 total errors (errmax= 1.7468e-09) d(Edge)/d(x9) check complete with 0 total errors (errmax= 1.6366e-09) d(Node)/d(x9) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "x10" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "x10" for ibody=6 d(Face)/d(x10) check complete with 0 total errors (errmax= 8.4952e-10) d(Edge)/d(x10) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(x10) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=13 Computing finite difference sensitivities for ibody=13 Comparing configuration sensitivities wrt "x10" for ibody=13 d(Face)/d(x10) check complete with 0 total errors (errmax= 4.2431e-10) d(Edge)/d(x10) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(x10) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "x10" for ibody=19 d(Face)/d(x10) check complete with 0 total errors (errmax= 1.4619e-09) d(Edge)/d(x10) check complete with 0 total errors (errmax= 1.0893e-09) d(Node)/d(x10) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "y1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "y1" for ibody=6 d(Face)/d(y1) check complete with 0 total errors (errmax= 8.3239e-10) d(Edge)/d(y1) check complete with 0 total errors (errmax= 3.3307e-16) d(Node)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=13 Computing finite difference sensitivities for ibody=13 Comparing configuration sensitivities wrt "y1" for ibody=13 d(Face)/d(y1) check complete with 0 total errors (errmax= 4.2431e-10) d(Edge)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "y1" for ibody=19 d(Face)/d(y1) check complete with 0 total errors (errmax= 1.1579e-09) d(Edge)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "y2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "y2" for ibody=6 d(Face)/d(y2) check complete with 0 total errors (errmax= 1.4062e-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= 4.4523e-07) d(Node)/d(y5) check complete with 0 total errors (errmax= 4.8508e-26) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "y5" for ibody=19 d(Face)/d(y5) check complete with 0 total errors (errmax= 1.1579e-09) d(Edge)/d(y5) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(y5) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "y6" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "y6" for ibody=6 d(Face)/d(y6) check complete with 0 total errors (errmax= 8.4952e-10) d(Edge)/d(y6) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(y6) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=13 Computing finite difference sensitivities for ibody=13 Comparing configuration sensitivities wrt "y6" for ibody=13 d(Face)/d(y6) check complete with 0 total errors (errmax= 4.4022e-07) d(Edge)/d(y6) check complete with 0 total errors (errmax= 4.4523e-07) d(Node)/d(y6) check complete with 0 total errors (errmax= 4.8508e-26) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "y6" for ibody=19 d(Face)/d(y6) check complete with 0 total errors (errmax= 1.1579e-09) d(Edge)/d(y6) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(y6) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "y7" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "y7" for ibody=6 d(Face)/d(y7) check complete with 0 total errors (errmax= 8.4952e-10) d(Edge)/d(y7) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(y7) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=13 Computing finite difference sensitivities for ibody=13 Comparing configuration sensitivities wrt "y7" for ibody=13 d(Face)/d(y7) check complete with 0 total errors (errmax= 4.5370e-10) d(Edge)/d(y7) check complete with 0 total errors (errmax= 2.2204e-16) d(Node)/d(y7) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "y7" for ibody=19 d(Face)/d(y7) check complete with 0 total errors (errmax= 1.1579e-09) d(Edge)/d(y7) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(y7) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "y8" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "y8" for ibody=6 d(Face)/d(y8) check complete with 0 total errors (errmax= 8.4952e-10) d(Edge)/d(y8) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(y8) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=13 Computing finite difference sensitivities for ibody=13 Comparing configuration sensitivities wrt "y8" for ibody=13 d(Face)/d(y8) check complete with 0 total errors (errmax= 4.2431e-10) d(Edge)/d(y8) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(y8) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "y8" for ibody=19 d(Face)/d(y8) check complete with 0 total errors (errmax= 1.4062e-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= 1.1724e-09) d(Edge)/d(y10) check complete with 0 total errors (errmax= 2.2204e-16) d(Node)/d(y10) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "z1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "z1" for ibody=6 d(Face)/d(z1) check complete with 0 total errors (errmax= 8.6738e-10) d(Edge)/d(z1) check complete with 0 total errors (errmax= 7.4840e-11) d(Node)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=13 Computing finite difference sensitivities for ibody=13 Comparing configuration sensitivities wrt "z1" for ibody=13 d(Face)/d(z1) check complete with 0 total errors (errmax= 4.2431e-10) d(Edge)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "z1" for ibody=19 d(Face)/d(z1) check complete with 0 total errors (errmax= 1.1579e-09) d(Edge)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "z2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "z2" for ibody=6 iface= 1, ipnt= 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 -> 1.572 sec Sensitivity checks complete with 2168 total errors (max config err= 6.8678e-04) with 0 suppressions real 0m27.634s user 0m27.724s sys 0m0.012s ++++ set +x data/basic/design0k -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 13 / 180 ) data/basic/design0m.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.006 sec Sensitivity checks complete with 0 total errors (max config err= 9.4901e-05) with 0 suppressions real 0m0.216s user 0m0.200s sys 0m0.016s ++++ set +x data/basic/design0m -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 14 / 180 ) data/basic/design0n1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 6.4602e-09) ********************************************************* Starting configuration sensitivity wrt "span" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=3 Computing finite difference sensitivities for ibody=3 Comparing configuration sensitivities wrt "span" for ibody=3 d(Face)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(span) check complete with 0 total errors (errmax= 8.0591e-10) d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.045 sec Sensitivity checks complete with 83 total errors (max config err= 2.0377e-04) with 0 suppressions real 0m0.406s user 0m0.564s sys 0m0.004s ++++ set +x data/basic/design0n1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 15 / 180 ) data/basic/design0n2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.310 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m0.527s user 0m0.712s sys 0m0.000s ++++ set +x data/basic/design0n2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 16 / 180 ) data/basic/design0n3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.0986e-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 -> 0.249 sec Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions real 0m0.543s user 0m0.708s sys 0m0.000s ++++ set +x data/basic/design0n3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 17 / 180 ) data/basic/design0n4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.189 sec Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions real 0m0.487s user 0m0.672s sys 0m0.000s ++++ set +x data/basic/design0n4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 18 / 180 ) data/basic/design0o1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 6.4602e-09) ********************************************************* Starting configuration sensitivity wrt "span" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "span" for ibody=6 d(Face)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(span) check complete with 0 total errors (errmax= 8.0591e-10) d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.267 sec Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions real 0m1.053s user 0m1.272s sys 0m0.004s ++++ set +x data/basic/design0o1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 19 / 180 ) data/basic/design0o2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o2.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "class[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "class[1,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "ztail[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "ztail[1,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,3]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,5]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,6]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,3]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,5]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,6]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "span" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 2.234 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m2.696s user 0m2.932s sys 0m0.016s ++++ set +x data/basic/design0o2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 20 / 180 ) data/basic/design0o3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 6.4602e-09) ********************************************************* Starting configuration sensitivity wrt "span" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "span" for ibody=6 d(Face)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(span) check complete with 0 total errors (errmax= 8.0591e-10) d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.360 sec Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions real 0m1.286s user 0m1.532s sys 0m0.008s ++++ set +x data/basic/design0o3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 21 / 180 ) data/basic/design0o4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o4.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "class[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "class[1,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "ztail[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "ztail[1,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,3]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,5]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "aupper[1,6]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,3]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,5]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "alower[1,6]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "span" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Sensitivity checks complete with 0 total errors ( finite diffs ) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 2.259 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m2.691s user 0m2.912s sys 0m0.004s ++++ set +x data/basic/design0o4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 22 / 180 ) data/basic/design0p.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 5.1388e-11) d(Edge)/d(chord) check complete with 0 total errors (errmax= 1.3644e-10) d(Node)/d(chord) check complete with 0 total errors (errmax= 1.3644e-10) ********************************************************* Starting configuration sensitivity wrt "alpha" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=4 Computing finite difference sensitivities for ibody=4 Comparing configuration sensitivities wrt "alpha" for ibody=4 d(Face)/d(alpha) check complete with 0 total errors (errmax= 6.8091e-11) d(Edge)/d(alpha) check complete with 0 total errors (errmax= 8.4743e-11) d(Node)/d(alpha) check complete with 0 total errors (errmax= 8.4743e-11) ********************************************************* Starting configuration sensitivity wrt "span" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=4 Computing finite difference sensitivities for ibody=4 Comparing configuration sensitivities wrt "span" for ibody=4 d(Face)/d(span) check complete with 0 total errors (errmax= 1.3865e-11) d(Edge)/d(span) check complete with 0 total errors (errmax= 5.8387e-10) d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.007 sec Sensitivity checks complete with 0 total errors (max config err= 8.3237e-05) with 0 suppressions real 0m0.119s user 0m0.088s sys 0m0.028s ++++ set +x data/basic/design0p -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 23 / 180 ) data/basic/design0q.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.4019e-07) d(Edge)/d(camber) check complete with 0 total errors (errmax= 4.4016e-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= 1.1934e-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= 1.2112e-10) d(Edge)/d(alpha) check complete with 0 total errors (errmax= 1.9577e-10) d(Node)/d(alpha) check complete with 0 total errors (errmax= 8.4743e-11) ********************************************************* Starting configuration sensitivity wrt "span" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "span" for ibody=7 d(Face)/d(span) check complete with 0 total errors (errmax= 6.9509e-11) d(Edge)/d(span) check complete with 0 total errors (errmax= 5.8387e-10) d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.163 sec Sensitivity checks complete with 0 total errors (max config err= 4.4019e-07) with 0 suppressions real 0m0.630s user 0m0.624s sys 0m0.016s ++++ set +x data/basic/design0q -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 24 / 180 ) data/basic/design0r.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.5652e-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= 2.4448e-07) d(Edge)/d(size1) check complete with 0 total errors (errmax= 2.7859e-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= 3.9239e-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= 2.0767e-10) d(Edge)/d(dx1) check complete with 0 total errors (errmax= 1.7414e-10) d(Node)/d(dx1) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "dy1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "dy1" for ibody=11 d(Face)/d(dy1) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(dy1) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(dy1) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "dz1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "dz1" for ibody=11 d(Face)/d(dz1) check complete with 0 total errors (errmax= 5.1324e-07) d(Edge)/d(dz1) check complete with 0 total errors (errmax= 6.9612e-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= 1.2120e-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= 1.0629e-10) d(Edge)/d(dx2) check complete with 0 total errors (errmax= 3.0431e-10) d(Node)/d(dx2) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "dy2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "dy2" for ibody=11 d(Face)/d(dy2) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(dy2) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(dy2) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "dz2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "dz2" for ibody=11 d(Face)/d(dz2) check complete with 0 total errors (errmax= 5.4014e-07) d(Edge)/d(dz2) check complete with 0 total errors (errmax= 6.4944e-07) d(Node)/d(dz2) check complete with 0 total errors (errmax= 6.4944e-07) ********************************************************* Starting configuration sensitivity wrt "dx" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "dx" for ibody=11 d(Face)/d(dx) check complete with 0 total errors (errmax= 2.0767e-10) d(Edge)/d(dx) check complete with 0 total errors (errmax= 1.7411e-10) d(Node)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "dy" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "dy" for ibody=11 d(Face)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "dz" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "dz" for ibody=11 d(Face)/d(dz) check complete with 0 total errors (errmax= 1.3267e-10) d(Edge)/d(dz) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(dz) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "sfac" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "sfac" for ibody=11 d(Face)/d(sfac) check complete with 0 total errors (errmax= 2.1644e-10) d(Edge)/d(sfac) check complete with 0 total errors (errmax= 1.9329e-10) d(Node)/d(sfac) check complete with 0 total errors (errmax= 1.9329e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.071 sec Sensitivity checks complete with 12 total errors (max config err= 5.3016e-03) with 0 suppressions real 0m2.859s user 0m2.620s sys 0m1.516s ++++ set +x data/basic/design0r -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 25 / 180 ) data/basic/design0s.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 0m0.073s user 0m0.064s sys 0m0.012s ++++ set +x data/basic/design0s -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 26 / 180 ) data/basic/design0t1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.003 sec Sensitivity checks complete with 0 total errors (max config err= 6.9889e-11) with 0 suppressions real 0m0.076s user 0m0.076s sys 0m0.000s ++++ set +x data/basic/design0t1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 27 / 180 ) data/basic/design0t2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.052 sec Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions real 0m0.196s user 0m0.224s sys 0m0.000s ++++ set +x data/basic/design0t2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 28 / 180 ) data/basic/design0t3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.068 sec Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions real 0m0.272s user 0m0.308s sys 0m0.008s ++++ set +x data/basic/design0t3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 29 / 180 ) data/basic/design0u.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 0.03753803, err= 0.00021193 (at 0.33094622 2.92802835 0.00000000) iedge= 1, ipnt= 29 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046645 (at 0.33094622 2.92802835 0.00000000) iedge= 1, ipnt= 31 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at 0.11279946 2.98530050 0.00000000) iedge= 2, ipnt= 1 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 0.00000000) iedge= 2, ipnt= 3 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 0.00000000) iedge= 2, ipnt= 3 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 0.00000000) iedge= 2, ipnt= 4 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 0.00000000) iedge= 2, ipnt= 5 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011546 (at -0.52562942 2.80922085 0.00000000) iedge= 2, ipnt= 8 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 2.57404367 0.00000000) iedge= 3, ipnt= 24 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 0.00000000) iedge= 3, ipnt= 27 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 0.00000000) iedge= 3, ipnt= 28 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 0.00000000) iedge= 3, ipnt= 29 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 -2.92802835 0.00000000) iedge= 3, ipnt= 29 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046645 (at -0.33094622 -2.92802835 0.00000000) iedge= 3, ipnt= 31 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at -0.11279946 -2.98530050 0.00000000) iedge= 4, ipnt= 1 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 0.00000000) iedge= 4, ipnt= 3 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 0.00000000) iedge= 4, ipnt= 3 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 0.00000000) iedge= 4, ipnt= 4 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 0.00000000) iedge= 4, ipnt= 5 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011546 (at 0.52562942 -2.80922085 0.00000000) iedge= 4, ipnt= 8 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 -2.57404367 0.00000000) d(Edge)/d(rx) check complete with 24 total errors (errmax= 4.6646e-04) d(Node)/d(rx) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "ry" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=1 Computing finite difference sensitivities for ibody=1 Comparing configuration sensitivities wrt "ry" for ibody=1 d(Face)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00) iedge= 1, ipnt= 29 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 0.00000000) iedge= 1, ipnt= 29 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at 0.33094622 2.92802835 0.00000000) iedge= 1, ipnt= 31 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at 0.11279946 2.98530050 0.00000000) iedge= 2, ipnt= 1 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 0.00000000) iedge= 2, ipnt= 3 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 2.92802835 0.00000000) iedge= 2, ipnt= 3 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at -0.33094622 2.92802835 0.00000000) iedge= 3, ipnt= 29 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 0.00000000) iedge= 3, ipnt= 29 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at -0.33094622 -2.92802835 0.00000000) iedge= 3, ipnt= 31 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at -0.11279946 -2.98530050 0.00000000) iedge= 4, ipnt= 1 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 0.00000000) iedge= 4, ipnt= 3 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 -2.92802835 0.00000000) iedge= 4, ipnt= 3 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at 0.33094622 -2.92802835 0.00000000) d(Edge)/d(ry) check complete with 12 total errors (errmax= 2.3319e-04) d(Node)/d(ry) check complete with 0 total errors (errmax= 1.3978e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.001 sec Sensitivity checks complete with 36 total errors (max config err= 4.6646e-04) with 0 suppressions real 0m0.086s user 0m0.084s sys 0m0.008s ++++ set +x data/basic/design0u -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 30 / 180 ) data/basic/design0v.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 0.03753803, 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= 0.03753803, 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= -0.03753803, 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= -0.03753803, 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= 0.03753803, err= 0.00021193 (at 0.33094622 2.92802835 0.00000000) iedge= 3, ipnt= 29 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046645 (at 0.33094622 2.92802835 0.00000000) iedge= 3, ipnt= 31 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at 0.11279946 2.98530050 0.00000000) iedge= 4, ipnt= 24 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 2.57404367 3.00000000) iedge= 4, ipnt= 27 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011545 (at 0.52562942 2.80922085 3.00000000) iedge= 4, ipnt= 28 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at 0.43146765 2.87377079 3.00000000) iedge= 4, ipnt= 29 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 2.92802835 3.00000000) iedge= 4, ipnt= 29 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046645 (at 0.33094622 2.92802835 3.00000000) iedge= 4, ipnt= 31 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at 0.11279946 2.98530050 3.00000000) iedge= 6, ipnt= 1 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 0.00000000) iedge= 6, ipnt= 3 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 0.00000000) iedge= 6, ipnt= 3 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 0.00000000) iedge= 6, ipnt= 4 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 0.00000000) iedge= 6, ipnt= 5 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011546 (at -0.52562942 2.80922085 0.00000000) iedge= 6, ipnt= 8 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 2.57404367 0.00000000) iedge= 7, ipnt= 1 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 3.00000000) iedge= 7, ipnt= 3 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 3.00000000) iedge= 7, ipnt= 3 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 3.00000000) iedge= 7, ipnt= 4 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 3.00000000) iedge= 7, ipnt= 5 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011546 (at -0.52562942 2.80922085 3.00000000) iedge= 7, ipnt= 8 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 2.57404367 3.00000000) iedge= 9, ipnt= 24 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 0.00000000) iedge= 9, ipnt= 27 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 0.00000000) iedge= 9, ipnt= 28 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 0.00000000) iedge= 9, ipnt= 29 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 -2.92802835 0.00000000) iedge= 9, ipnt= 29 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046645 (at -0.33094622 -2.92802835 0.00000000) iedge= 9, ipnt= 31 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at -0.11279946 -2.98530050 0.00000000) iedge= 10, ipnt= 24 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 3.00000000) iedge= 10, ipnt= 27 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 3.00000000) iedge= 10, ipnt= 28 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 3.00000000) iedge= 10, ipnt= 29 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 -2.92802835 3.00000000) iedge= 10, ipnt= 29 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046645 (at -0.33094622 -2.92802835 3.00000000) iedge= 10, ipnt= 31 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at -0.11279946 -2.98530050 3.00000000) iedge= 11, ipnt= 1 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 0.00000000) iedge= 11, ipnt= 3 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 0.00000000) iedge= 11, ipnt= 3 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 0.00000000) iedge= 11, ipnt= 4 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 0.00000000) iedge= 11, ipnt= 5 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011546 (at 0.52562942 -2.80922085 0.00000000) iedge= 11, ipnt= 8 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 -2.57404367 0.00000000) iedge= 12, ipnt= 1 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 3.00000000) iedge= 12, ipnt= 3 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 3.00000000) iedge= 12, ipnt= 3 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 3.00000000) iedge= 12, ipnt= 4 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 3.00000000) iedge= 12, ipnt= 5 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011546 (at 0.52562942 -2.80922085 3.00000000) iedge= 12, ipnt= 8 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 -2.57404367 3.00000000) d(Edge)/d(rx) check complete with 48 total errors (errmax= 4.6646e-04) d(Node)/d(rx) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "ry" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=2 Computing finite difference sensitivities for ibody=2 Comparing configuration sensitivities wrt "ry" for ibody=2 iface= 1, ipnt= 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= 8.4056e-10) d(Edge)/d(span) check complete with 0 total errors (errmax= 7.4840e-10) d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.011 sec Sensitivity checks complete with 1188 total errors (max config err= 4.6646e-04) with 0 suppressions real 0m0.159s user 0m0.196s sys 0m0.008s ++++ set +x data/basic/design0v -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 31 / 180 ) data/basic/design0w.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.9412e-10) d(Edge)/d(xle) check complete with 0 total errors (errmax= 4.6652e-10) d(Node)/d(xle) check complete with 0 total errors (errmax= 3.0478e-10) ********************************************************* Starting configuration sensitivity wrt "xle[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "xle[4,1]" for ibody=26 d(Face)/d(xle) check complete with 0 total errors (errmax= 4.3366e-10) d(Edge)/d(xle) check complete with 0 total errors (errmax= 3.8715e-10) d(Node)/d(xle) check complete with 0 total errors (errmax= 8.2740e-11) ********************************************************* Starting configuration sensitivity wrt "yle[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "yle[1,1]" for ibody=26 d(Face)/d(yle) check complete with 0 total errors (errmax= 2.4938e-10) d(Edge)/d(yle) check complete with 0 total errors (errmax= 6.3752e-11) d(Node)/d(yle) check complete with 0 total errors (errmax= 4.3368e-19) ********************************************************* Starting configuration sensitivity wrt "yle[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "yle[2,1]" for ibody=26 d(Face)/d(yle) check complete with 0 total errors (errmax= 2.5120e-10) d(Edge)/d(yle) check complete with 0 total errors (errmax= 1.3930e-10) d(Node)/d(yle) check complete with 0 total errors (errmax= 2.8282e-11) ********************************************************* Starting configuration sensitivity wrt "yle[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "yle[3,1]" for ibody=26 d(Face)/d(yle) check complete with 0 total errors (errmax= 2.5307e-10) d(Edge)/d(yle) check complete with 0 total errors (errmax= 3.0478e-10) d(Node)/d(yle) check complete with 0 total errors (errmax= 8.2740e-11) ********************************************************* Starting configuration sensitivity wrt "yle[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "yle[4,1]" for ibody=26 d(Face)/d(yle) check complete with 0 total errors (errmax= 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= 2.8991e-10) d(Edge)/d(zle) check complete with 0 total errors (errmax= 8.7658e-11) d(Node)/d(zle) check complete with 0 total errors (errmax= 2.8282e-11) ********************************************************* Starting configuration sensitivity wrt "zle[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "zle[2,1]" for ibody=26 d(Face)/d(zle) check complete with 0 total errors (errmax= 2.6061e-10) d(Edge)/d(zle) check complete with 0 total errors (errmax= 8.2476e-11) d(Node)/d(zle) check complete with 0 total errors (errmax= 5.2636e-13) ********************************************************* Starting configuration sensitivity wrt "zle[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "zle[3,1]" for ibody=26 d(Face)/d(zle) check complete with 0 total errors (errmax= 2.7149e-10) d(Edge)/d(zle) check complete with 0 total errors (errmax= 1.0413e-10) d(Node)/d(zle) check complete with 0 total errors (errmax= 2.8282e-11) ********************************************************* Starting configuration sensitivity wrt "zle[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "zle[4,1]" for ibody=26 d(Face)/d(zle) check complete with 0 total errors (errmax= 2.5307e-10) d(Edge)/d(zle) check complete with 0 total errors (errmax= 1.8257e-10) d(Node)/d(zle) check complete with 0 total errors (errmax= 2.8282e-11) ********************************************************* Starting configuration sensitivity wrt "twist[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "twist[1,1]" for ibody=26 d(Face)/d(twist) check complete with 0 total errors (errmax= 1.0790e-06) d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.0816e-06) d(Node)/d(twist) check complete with 0 total errors (errmax= 1.6524e-10) ********************************************************* Starting configuration sensitivity wrt "twist[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "twist[2,1]" for ibody=26 d(Face)/d(twist) check complete with 0 total errors (errmax= 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= 3.8252e-07) d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.0340e-07) d(Node)/d(twist) check complete with 0 total errors (errmax= 2.8547e-10) ********************************************************* Starting configuration sensitivity wrt "twist[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "twist[4,1]" for ibody=26 d(Face)/d(twist) check complete with 0 total errors (errmax= 2.0970e-07) d(Edge)/d(twist) check complete with 0 total errors (errmax= 2.2547e-07) d(Node)/d(twist) check complete with 0 total errors (errmax= 2.7524e-10) ********************************************************* Starting configuration sensitivity wrt "chord[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "chord[1,1]" for ibody=26 d(Face)/d(chord) check complete with 0 total errors (errmax= 4.6097e-07) d(Edge)/d(chord) check complete with 0 total errors (errmax= 4.7431e-07) d(Node)/d(chord) check complete with 0 total errors (errmax= 1.6131e-10) ********************************************************* Starting configuration sensitivity wrt "chord[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "chord[2,1]" for ibody=26 d(Face)/d(chord) check complete with 0 total errors (errmax= 4.7466e-07) d(Edge)/d(chord) check complete with 0 total errors (errmax= 4.7689e-07) d(Node)/d(chord) check complete with 0 total errors (errmax= 2.4029e-10) ********************************************************* Starting configuration sensitivity wrt "chord[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "chord[3,1]" for ibody=26 d(Face)/d(chord) check complete with 0 total errors (errmax= 4.5312e-07) d(Edge)/d(chord) check complete with 0 total errors (errmax= 4.7094e-07) d(Node)/d(chord) check complete with 0 total errors (errmax= 1.9318e-10) ********************************************************* Starting configuration sensitivity wrt "chord[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "chord[4,1]" for ibody=26 d(Face)/d(chord) check complete with 0 total errors (errmax= 4.3988e-07) d(Edge)/d(chord) check complete with 0 total errors (errmax= 4.7749e-07) d(Node)/d(chord) check complete with 0 total errors (errmax= 1.6448e-10) ********************************************************* Starting configuration sensitivity wrt "thick[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "thick[1,1]" for ibody=26 iface= 1, ipnt= 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= -0.00919394, 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= -0.00376169 (at 1.25010598 0.80972700 0.21073046) iedge= 15, ipnt= 5 (X): anal= -0.01790191, fd= -0.01633884, err= -0.00156308 (at 1.23814804 0.80972700 0.20776300) iedge= 15, ipnt= 5 (Z): anal= 0.05688939, fd= 0.05192219, err= 0.00496721 (at 1.23814804 0.80972700 0.20776300) iedge= 15, ipnt= 6 (X): anal= -0.01742018, fd= -0.01466916, err= -0.00275103 (at 1.23258502 0.80972700 0.20540551) iedge= 15, ipnt= 6 (Z): anal= 0.02997039, fd= 0.02523742, err= 0.00473298 (at 1.23258502 0.80972700 0.20540551) iedge= 15, ipnt= 7 (X): anal= -0.01129684, fd= -0.00975488, err= -0.00154195 (at 1.23016955 0.80972700 0.20371432) iedge= 15, ipnt= 7 (Z): anal= 0.01334887, fd= 0.01152683, err= 0.00182204 (at 1.23016955 0.80972700 0.20371432) iedge= 22, ipnt= 1 (X): anal= -0.01051701, fd= -0.00908150, err= -0.00143551 (at 1.23028896 0.80972700 0.19953089) iedge= 22, ipnt= 1 (Z): anal= -0.01397152, fd= -0.01206449, err= -0.00190703 (at 1.23028896 0.80972700 0.19953089) iedge= 22, ipnt= 2 (X): anal= -0.01568227, fd= -0.01320570, err= -0.00247657 (at 1.23279696 0.80972700 0.19798024) iedge= 22, ipnt= 2 (Z): anal= -0.03091527, fd= -0.02603307, err= -0.00488219 (at 1.23279696 0.80972700 0.19798024) iedge= 22, ipnt= 3 (X): anal= -0.01462772, fd= -0.01335053, err= -0.00127720 (at 1.23848541 0.80972700 0.19594391) iedge= 22, ipnt= 3 (Z): anal= -0.05781792, fd= -0.05276964, err= -0.00504828 (at 1.23848541 0.80972700 0.19594391) iedge= 22, ipnt= 4 (X): anal= -0.01400884, fd= -0.01462999, err= 0.00062115 (at 1.25059314 0.80972700 0.19366338) iedge= 22, ipnt= 4 (Z): anal= -0.08577688, fd= -0.08958019, err= 0.00380331 (at 1.25059314 0.80972700 0.19366338) iedge= 22, ipnt= 5 (Z): anal= -0.12413999, fd= -0.12361341, err= -0.00052657 (at 1.27469188 0.80972700 0.19084155) iedge= 27, ipnt= 3 (Z): anal= -0.12338047, fd= -0.12285712, err= -0.00052335 (at 1.56673779 0.80972700 0.19917767) iedge= 27, ipnt= 4 (X): anal= 0.01887886, fd= 0.01971594, err= -0.00083708 (at 1.59063633 0.80972700 0.20336953) iedge= 27, ipnt= 4 (Z): anal= -0.08483814, fd= -0.08859982, err= 0.00376168 (at 1.59063633 0.80972700 0.20336953) iedge= 27, ipnt= 5 (X): anal= 0.01790191, fd= 0.01633884, err= 0.00156308 (at 1.60259426 0.80972700 0.20633699) iedge= 27, ipnt= 5 (Z): anal= -0.05688939, fd= -0.05192219, err= -0.00496721 (at 1.60259426 0.80972700 0.20633699) iedge= 27, ipnt= 6 (X): anal= 0.01742018, fd= 0.01466916, err= 0.00275103 (at 1.60815729 0.80972700 0.20869448) iedge= 27, ipnt= 6 (Z): anal= -0.02997039, fd= -0.02523742, err= -0.00473298 (at 1.60815729 0.80972700 0.20869448) iedge= 27, ipnt= 7 (X): anal= 0.01129684, fd= 0.00975488, err= 0.00154195 (at 1.61057276 0.80972700 0.21038567) iedge= 27, ipnt= 7 (Z): anal= -0.01334887, fd= -0.01152683, err= -0.00182204 (at 1.61057276 0.80972700 0.21038567) d(Edge)/d(thick) check complete with 36 total errors (errmax= 5.0483e-03) d(Node)/d(thick) check complete with 0 total errors (errmax= 2.5761e-10) ********************************************************* Starting configuration sensitivity wrt "thick[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "thick[4,1]" for ibody=26 iface= 3, ipnt= 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= 0.00869369, err= 0.00163308 (at 1.83188861 1.15675300 0.26511716) iedge= 28, ipnt= 7 (Z): anal= -0.01655775, fd= -0.01393930, err= -0.00261845 (at 1.83188861 1.15675300 0.26511716) iedge= 28, ipnt= 8 (X): anal= 0.00660695, fd= 0.00570603, err= 0.00090092 (at 1.83320730 1.15675300 0.26610271) iedge= 28, ipnt= 8 (Z): anal= -0.00733544, fd= -0.00633518, err= -0.00100026 (at 1.83320730 1.15675300 0.26610271) d(Edge)/d(thick) check complete with 36 total errors (errmax= 2.8798e-03) d(Node)/d(thick) check complete with 0 total errors (errmax= 2.6764e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 2.669 sec Sensitivity checks complete with 8470 total errors (max config err= 7.7165e-03) with 0 suppressions real 0m10.291s user 0m10.500s sys 0m0.016s ++++ set +x data/basic/design0w -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 32 / 180 ) data/basic/design1a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.047 sec Sensitivity checks complete with 0 total errors (max config err= 4.1933e-10) with 0 suppressions real 0m0.927s user 0m0.884s sys 0m0.504s ++++ set +x data/basic/design1a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 33 / 180 ) data/basic/design1b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.2203e-09) d(Edge)/d(XangDeg) check complete with 0 total errors (errmax= 1.4837e-09) d(Node)/d(XangDeg) check complete with 0 total errors (errmax= 1.2137e-09) ********************************************************* Starting configuration sensitivity wrt "YangDeg" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=13 Computing finite difference sensitivities for ibody=13 Comparing configuration sensitivities wrt "YangDeg" for ibody=13 d(Face)/d(YangDeg) check complete with 0 total errors (errmax= 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 -> 0.079 sec Sensitivity checks complete with 0 total errors (max config err= 2.5648e-09) with 0 suppressions real 0m3.199s user 0m2.820s sys 0m1.264s ++++ set +x data/basic/design1b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 34 / 180 ) data/basic/design2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 38.154 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m36.841s user 0m35.640s sys 0m4.652s ++++ set +x data/basic/design2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 35 / 180 ) data/basic/design3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 8.497 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m7.280s user 0m8.616s sys 0m1.248s ++++ set +x data/basic/design3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 36 / 180 ) data/basic/design4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.071 sec Sensitivity checks complete with 0 total errors (max config err= 2.4663e-09) with 0 suppressions real 0m2.937s user 0m2.448s sys 0m1.288s ++++ set +x data/basic/design4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 37 / 180 ) data/basic/design5.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 1017.146 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 1m6.444s user 2m18.876s sys 16m7.524s ++++ set +x data/basic/design5 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 38 / 180 ) data/basic/design6.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 9.284 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m10.307s user 0m10.772s sys 0m0.576s ++++ set +x data/basic/design6 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 39 / 180 ) data/basic/design7.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 50.986 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m40.277s user 0m53.056s sys 0m3.792s ++++ set +x data/basic/design7 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 40 / 180 ) data/basic/design8a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.9626e-08) d(Edge)/d(t) check complete with 0 total errors (errmax= 1.9478e-08) d(Node)/d(t) check complete with 0 total errors (errmax= 4.4409e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.023 sec Sensitivity checks complete with 0 total errors (max config err= 1.9626e-08) with 0 suppressions real 0m0.510s user 0m0.404s sys 0m0.308s ++++ set +x data/basic/design8a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 41 / 180 ) data/basic/design8b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 7.1283e-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 -> 0.021 sec Sensitivity checks complete with 0 total errors (max config err= 9.6589e-08) with 0 suppressions real 0m0.423s user 0m0.320s sys 0m0.300s ++++ set +x data/basic/design8b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 42 / 180 ) data/basic/design8c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.4871e-10) d(Edge)/d(xcent) check complete with 0 total errors (errmax= 5.8214e-10) d(Node)/d(xcent) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "ycent" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=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= 8.8464e-08) iedge= 1, ipnt= 9 (Z): anal= -0.29297240, fd= -0.29286100, err= -0.00011140 (at 0.77019063 0.50009925 -1.41417847) iedge= 1, ipnt= 10 (X): anal= -0.21330963, fd= -0.21349038, err= 0.00018075 (at 0.75242742 0.43328702 -1.43605793) iedge= 1, ipnt= 10 (Y): anal= 0.13145538, fd= 0.13156964, err= -0.00011426 (at 0.75242742 0.43328702 -1.43605793) iedge= 1, ipnt= 10 (Z): anal= -0.26205699, fd= -0.26228857, err= 0.00023157 (at 0.75242742 0.43328702 -1.43605793) iedge= 6, ipnt= 22 (X): anal= 0.21330974, fd= 0.21349894, err= -0.00018920 (at 0.75242749 -0.43328730 1.43605785) iedge= 6, ipnt= 22 (Y): anal= 0.13145554, fd= 0.13157515, err= -0.00011961 (at 0.75242749 -0.43328730 1.43605785) iedge= 6, ipnt= 22 (Z): anal= -0.26205712, fd= -0.26229955, err= 0.00024243 (at 0.75242749 -0.43328730 1.43605785) iedge= 6, ipnt= 23 (Z): anal= -0.29297223, fd= -0.29286221, err= -0.00011002 (at 0.77019051 -0.50009882 1.41417862) d(Edge)/d(ycent) check complete with 8 total errors (errmax= 2.4243e-04) d(Node)/d(ycent) check complete with 0 total errors (errmax= 2.2204e-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= 2.6197e-08) iedge= 1, ipnt= 9 (Z): anal= 0.89639542, fd= 0.89650666, err= -0.00011124 (at 0.77019063 0.50009925 -1.41417847) iedge= 1, ipnt= 10 (X): anal= -0.06435971, fd= -0.06454021, err= 0.00018050 (at 0.75242742 0.43328702 -1.43605793) iedge= 1, ipnt= 10 (Y): anal= -0.26205699, fd= -0.26194289, err= -0.00011410 (at 0.75242742 0.43328702 -1.43605793) iedge= 1, ipnt= 10 (Z): anal= 0.92093225, fd= 0.92070100, err= 0.00023126 (at 0.75242742 0.43328702 -1.43605793) iedge= 6, ipnt= 9 (Z): anal= 0.89639545, fd= 0.89628469, err= 0.00011075 (at 0.77019061 0.50009917 1.41417849) iedge= 6, ipnt= 10 (X): anal= 0.06435969, fd= 0.06418001, err= 0.00017967 (at 0.75242740 0.43328693 1.43605796) iedge= 6, ipnt= 10 (Y): anal= 0.26205695, fd= 0.26217053, err= -0.00011358 (at 0.75242740 0.43328693 1.43605796) iedge= 6, ipnt= 10 (Z): anal= 0.92093228, fd= 0.92116248, err= -0.00023020 (at 0.75242740 0.43328693 1.43605796) iedge= 6, ipnt= 22 (X): anal= 0.06435979, fd= 0.06454899, err= -0.00018921 (at 0.75242749 -0.43328730 1.43605785) iedge= 6, ipnt= 22 (Y): anal= -0.26205712, fd= -0.26193750, err= -0.00011962 (at 0.75242749 -0.43328730 1.43605785) iedge= 6, ipnt= 22 (Z): anal= 0.92093216, fd= 0.92068972, err= 0.00024244 (at 0.75242749 -0.43328730 1.43605785) iedge= 6, ipnt= 23 (Z): anal= 0.89639557, fd= 0.89650557, err= -0.00011000 (at 0.77019051 -0.50009882 1.41417862) d(Edge)/d(zcent) check complete with 12 total errors (errmax= 2.4244e-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= 7.8002e-10) d(Edge)/d(L) check complete with 0 total errors (errmax= 1.0348e-06) 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= 1.0298e-07) d(Edge)/d(H) check complete with 0 total errors (errmax= 7.9003e-07) d(Node)/d(H) check complete with 0 total errors (errmax= 2.3380e-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= 5.1350e-08) iedge= 1, ipnt= 22 (X): anal= 0.03361270, fd= 0.03342325, err= 0.00018945 (at 0.75242745 -0.43328711 -1.43605790) iedge= 1, ipnt= 22 (Y): anal= -0.13686271, fd= -0.13698248, err= 0.00011977 (at 0.75242745 -0.43328711 -1.43605790) iedge= 1, ipnt= 22 (Z): anal= -0.48096888, fd= -0.48121162, err= 0.00024274 (at 0.75242745 -0.43328711 -1.43605790) iedge= 1, ipnt= 23 (Z): anal= -0.47539734, fd= -0.47528714, err= -0.00011020 (at 0.77019046 -0.50009865 -1.41417868) iedge= 6, ipnt= 22 (X): anal= 0.03361273, fd= 0.03380192, err= -0.00018919 (at 0.75242749 -0.43328730 1.43605785) iedge= 6, ipnt= 22 (Y): anal= -0.13686276, fd= -0.13674314, err= -0.00011962 (at 0.75242749 -0.43328730 1.43605785) iedge= 6, ipnt= 22 (Z): anal= 0.48096886, fd= 0.48072640, err= 0.00024246 (at 0.75242749 -0.43328730 1.43605785) iedge= 6, ipnt= 23 (Z): anal= 0.47539732, fd= 0.47550727, err= -0.00010994 (at 0.77019051 -0.50009882 1.41417862) d(Edge)/d(W) check complete with 8 total errors (errmax= 2.4274e-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= 8.3044e-08) iedge= 1, ipnt= 9 (Z): anal= 0.06684651, fd= 0.06695800, err= -0.00011149 (at 0.77019063 0.50009925 -1.41417847) iedge= 1, ipnt= 10 (X): anal= -0.80524826, fd= -0.80542926, err= 0.00018100 (at 0.75242742 0.43328702 -1.43605793) iedge= 1, ipnt= 10 (Y): anal= 0.18126315, fd= 0.18137752, err= -0.00011437 (at 0.75242742 0.43328702 -1.43605793) iedge= 1, ipnt= 10 (Z): anal= 0.05469067, fd= 0.05445893, err= 0.00023174 (at 0.75242742 0.43328702 -1.43605793) iedge= 1, ipnt= 22 (X): anal= -0.80524818, fd= -0.80543659, err= 0.00018841 (at 0.75242745 -0.43328711 -1.43605790) iedge= 1, ipnt= 22 (Y): anal= -0.18126317, fd= -0.18138243, err= 0.00011926 (at 0.75242745 -0.43328711 -1.43605790) iedge= 1, ipnt= 22 (Z): anal= 0.05469069, fd= 0.05444879, err= 0.00024190 (at 0.75242745 -0.43328711 -1.43605790) iedge= 1, ipnt= 23 (Z): anal= 0.06684641, fd= 0.06695654, err= -0.00011013 (at 0.77019046 -0.50009865 -1.41417868) d(Edge)/d(t) check complete with 8 total errors (errmax= 2.4190e-04) d(Node)/d(t) check complete with 0 total errors (errmax= 0.0000e+00) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.064 sec Sensitivity checks complete with 36 total errors (max config err= 2.4274e-04) with 0 suppressions real 0m1.102s user 0m1.100s sys 0m0.672s ++++ set +x data/basic/design8c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 43 / 180 ) data/basic/design8.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "xcent" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=1 Computing finite difference sensitivities for ibody=1 Comparing configuration sensitivities wrt "xcent" for ibody=1 d(Face)/d(xcent) check complete with 0 total errors (errmax= 8.2267e-11) d(Edge)/d(xcent) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(xcent) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "ycent" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=1 Computing finite difference sensitivities for ibody=1 Comparing configuration sensitivities wrt "ycent" for ibody=1 d(Face)/d(ycent) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(ycent) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(ycent) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "zcent" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=1 Computing finite difference sensitivities for ibody=1 Comparing configuration sensitivities wrt "zcent" for ibody=1 d(Face)/d(zcent) check complete with 0 total errors (errmax= 8.2267e-11) d(Edge)/d(zcent) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(zcent) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "L" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=1 Computing finite difference sensitivities for ibody=1 Comparing configuration sensitivities wrt "L" for ibody=1 d(Face)/d(L) check complete with 0 total errors (errmax= 6.9889e-11) d(Edge)/d(L) check complete with 0 total errors (errmax= 6.9889e-11) d(Node)/d(L) check complete with 0 total errors (errmax= 6.9889e-11) ********************************************************* Starting configuration sensitivity wrt "H" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=1 Computing finite difference sensitivities for ibody=1 Comparing configuration sensitivities wrt "H" for ibody=1 d(Face)/d(H) check complete with 0 total errors (errmax= 6.9889e-11) d(Edge)/d(H) check complete with 0 total errors (errmax= 6.9889e-11) d(Node)/d(H) check complete with 0 total errors (errmax= 6.9889e-11) ********************************************************* Starting configuration sensitivity wrt "W" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=1 Computing finite difference sensitivities for ibody=1 Comparing configuration sensitivities wrt "W" for ibody=1 d(Face)/d(W) check complete with 0 total errors (errmax= 4.1133e-11) d(Edge)/d(W) check complete with 0 total errors (errmax= 4.1133e-11) d(Node)/d(W) check complete with 0 total errors (errmax= 4.1133e-11) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.003 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.093s user 0m0.096s sys 0m0.000s ++++ set +x data/basic/design8 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 44 / 180 ) data/basic/design8d.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.1230e-09) 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= 1.6516e-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= 5.7572e-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= 5.7344e-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= 8.0887e-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= 1.4431e-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= 4.8568e-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= 5.7563e-07) d(Edge)/d(z2) check complete with 0 total errors (errmax= 1.3602e-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= 2.8023e-07) d(Edge)/d(r2) check complete with 0 total errors (errmax= 9.3822e-07) d(Node)/d(r2) check complete with 0 total errors (errmax= 4.3168e-07) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.011 sec Sensitivity checks complete with 0 total errors (max config err= 2.0717e-06) with 0 suppressions real 0m1.010s user 0m0.880s sys 0m0.476s ++++ set +x data/basic/design8d -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 45 / 180 ) data/basic/design9.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design9.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "fuse[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[1,1]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.6019e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 9.1554e-08) 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= 2.8271e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.9894e-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= 6.4982e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.6796e-07) d(Node)/d(fuse) check complete with 0 total errors (errmax= 1.6561e-05) ********************************************************* Starting configuration sensitivity wrt "fuse[1,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[1,4]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 6.5262e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0001e-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= 1.0383e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.9725e-07) d(Node)/d(fuse) check complete with 0 total errors (errmax= 4.3864e-06) ********************************************************* Starting configuration sensitivity wrt "fuse[2,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[2,2]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 4.5868e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.1533e-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= 3.1029e-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= 1.6270e-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= 1.1386e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.1186e-07) d(Node)/d(fuse) check complete with 0 total errors (errmax= 3.2806e-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= 5.9138e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.6514e-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= 1.1413e-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= 5.6963e-07) d(Node)/d(fuse) check complete with 0 total errors (errmax= 8.3181e-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= 1.5565e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 6.4197e-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= 7.2439e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0085e-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= -0.00222298 (at 5.60398146 -0.53466049 0.20000000) inode= 15, ipnt= 0 (Y): anal= -0.09366779, fd= -0.09453846, err= 0.00087067 (at 5.60398146 -0.53466049 0.20000000) inode= 15, ipnt= 0 (Z): anal= -0.00181381, fd= 0.00000000, err= -0.00181381 (at 5.60398146 -0.53466049 0.20000000) d(Node)/d(fuse) check complete with 5 total errors (errmax= 2.2230e-03) ********************************************************* Starting configuration sensitivity wrt "fuse[4,3]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[4,3]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.2650e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.3457e-06) inode= 15, ipnt= 0 (X): anal= 0.10981406, fd= 0.11068139, err= -0.00086733 (at 5.60398146 -0.53466049 0.20000000) inode= 15, ipnt= 0 (Y): anal= -0.03655408, fd= -0.03689380, err= 0.00033971 (at 5.60398146 -0.53466049 0.20000000) inode= 15, ipnt= 0 (Z): anal= -0.00070784, fd= 0.00000000, err= -0.00070784 (at 5.60398146 -0.53466049 0.20000000) d(Node)/d(fuse) check complete with 3 total errors (errmax= 8.6733e-04) ********************************************************* Starting configuration sensitivity wrt "fuse[4,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[4,4]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.2640e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.2468e-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= 1.0881e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0359e-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= 1.2670e-06) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.4641e-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= 9.6260e-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= 6.5933e-08) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.5849e-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= 2.3177e-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= 7.2901e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.6136e-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= 7.2863e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.7414e-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= 6.9667e-08) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.0103e-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= 4.6405e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.3075e-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= 8.4614e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 8.4434e-06) inode= 15, ipnt= 0 (X): anal= 0.14075176, fd= 0.14186346, err= -0.00111170 (at 5.60398146 -0.53466049 0.20000000) inode= 15, ipnt= 0 (Y): anal= -0.04685239, fd= -0.04728782, err= 0.00043543 (at 5.60398146 -0.53466049 0.20000000) inode= 15, ipnt= 0 (Z): anal= -0.00090726, fd= 0.00000000, err= -0.00090726 (at 5.60398146 -0.53466049 0.20000000) d(Node)/d(fuse) check complete with 3 total errors (errmax= 1.1117e-03) ********************************************************* Starting configuration sensitivity wrt "fuse[7,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[7,4]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.4777e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.5790e-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= 3.7749e-08) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.7262e-06) d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.9086e-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= 5.1729e-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= 9.1674e-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= 1.8535e-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= 5.2776e-08) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.2662e-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= 5.2128e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0581e-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= 8.3852e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.0307e-05) d(Node)/d(fuse) check complete with 0 total errors (errmax= 8.0200e-05) ********************************************************* Starting configuration sensitivity wrt "fuse[9,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[9,4]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.3934e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.3846e-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= 4.7233e-08) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.3117e-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= 6.1517e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 8.4423e-06) inode= 10, ipnt= 0 (Z): anal= -0.00140899, fd= -0.00160226, err= 0.00019327 (at 12.23391938 0.28719104 0.21505104) d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.9327e-04) ********************************************************* Starting configuration sensitivity wrt "fuse[10,3]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[10,3]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.8932e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.7851e-05) d(Node)/d(fuse) check complete with 0 total errors (errmax= 3.8179e-05) ********************************************************* Starting configuration sensitivity wrt "fuse[10,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[10,4]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.8915e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.6648e-05) d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.1321e-05) ********************************************************* Starting configuration sensitivity wrt "fuse[11,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[11,1]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.5592e-08) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0131e-06) d(Node)/d(fuse) check complete with 0 total errors (errmax= 5.7350e-07) ********************************************************* Starting configuration sensitivity wrt "fuse[11,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[11,2]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.9755e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.2023e-05) inode= 10, ipnt= 0 (Y): anal= 0.11416580, fd= 0.11437869, err= -0.00021290 (at 12.23391938 0.28719104 0.21505104) inode= 10, ipnt= 0 (Z): anal= 0.00527127, fd= 0.00599433, err= -0.00072306 (at 12.23391938 0.28719104 0.21505104) inode= 18, ipnt= 0 (Z): anal= 0.00624489, fd= 0.00599433, err= 0.00025056 (at 12.23391938 -0.28719104 0.21505104) d(Node)/d(fuse) check complete with 3 total errors (errmax= 7.2306e-04) ********************************************************* Starting configuration sensitivity wrt "fuse[11,3]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[11,3]" for ibody=84 iface= 1, ipnt= 442 (Z): anal= 0.00197537, fd= 0.00167699, err= 0.00029838 (at 11.23157931 0.02615214 0.59830887) iface= 1, ipnt= 445 (Z): anal= 0.00505629, fd= 0.00478797, err= 0.00026833 (at 11.25673200 0.04503226 0.59605781) iface= 2, ipnt= 434 (Z): anal= 0.00744421, fd= 0.00723486, err= 0.00020935 (at 11.24990384 -0.05541910 0.59432713) iface= 2, ipnt= 438 (Z): anal= 0.00113822, fd= 0.00088041, err= 0.00025781 (at 11.25319785 -0.01912036 0.59881127) d(Face)/d(fuse) check complete with 4 total errors (errmax= 2.9838e-04) iedge= 5, ipnt= 3 (Z): anal= 0.00019694, fd= 0.00008887, err= 0.00010807 (at 11.30340357 0.00620438 0.59931181) iedge= 5, ipnt= 4 (Z): anal= 0.00035410, fd= 0.00020235, err= 0.00015176 (at 11.30900150 0.00938855 0.59922686) iedge= 5, ipnt= 5 (Z): anal= 0.00062743, fd= 0.00042872, err= 0.00019871 (at 11.32078863 0.01375901 0.59905447) iedge= 5, ipnt= 6 (Z): anal= 0.00142346, fd= 0.00117344, err= 0.00025001 (at 11.36630598 0.02350197 0.59844446) iedge= 5, ipnt= 7 (Z): anal= 0.00230516, fd= 0.00207252, err= 0.00023264 (at 11.44943924 0.03349792 0.59751871) iedge= 5, ipnt= 8 (Z): anal= 0.00265946, fd= 0.00247173, err= 0.00018773 (at 11.53330408 0.03997386 0.59678292) iedge= 5, ipnt= 9 (Z): anal= 0.00259593, fd= 0.00245486, err= 0.00014107 (at 11.61743995 0.04457716 0.59621498) iedge= 14, ipnt= 25 (Z): anal= 0.00238149, fd= 0.00226847, err= 0.00011301 (at 11.67209398 -0.04686828 0.59592650) iedge= 14, ipnt= 26 (Z): anal= 0.00266910, fd= 0.00250766, err= 0.00016144 (at 11.57994604 -0.04270852 0.59644854) iedge= 14, ipnt= 27 (Z): anal= 0.00252690, fd= 0.00231389, err= 0.00021301 (at 11.48801832 -0.03677592 0.59715761) iedge= 14, ipnt= 28 (Z): anal= 0.00181594, fd= 0.00156521, err= 0.00025073 (at 11.39662208 -0.02779405 0.59808174) iedge= 14, ipnt= 29 (Z): anal= 0.00061417, fd= 0.00041720, err= 0.00019697 (at 11.32018692 -0.01356766 0.59906334) iedge= 14, ipnt= 30 (Z): anal= 0.00024709, fd= 0.00012298, err= 0.00012411 (at 11.30495379 -0.00730233 0.59928647) d(Edge)/d(fuse) check complete with 13 total errors (errmax= 2.5073e-04) inode= 10, ipnt= 0 (Z): anal= 0.00103981, fd= 0.00118245, err= -0.00014263 (at 12.23391938 0.28719104 0.21505104) d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.4263e-04) ********************************************************* Starting configuration sensitivity wrt "fuse[11,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[11,4]" for ibody=84 iface= 1, ipnt= 442 (Z): anal= 0.88794475, fd= 0.88824250, err= -0.00029775 (at 11.23157931 0.02615214 0.59830887) iface= 1, ipnt= 445 (Z): anal= 0.85073428, fd= 0.85100199, err= -0.00026771 (at 11.25673200 0.04503226 0.59605781) iface= 2, ipnt= 434 (Z): anal= 0.84436018, fd= 0.84456905, err= -0.00020887 (at 11.24990384 -0.05541910 0.59432713) iface= 2, ipnt= 438 (Z): anal= 0.87344209, fd= 0.87369927, err= -0.00025718 (at 11.25319785 -0.01912036 0.59881127) d(Face)/d(fuse) check complete with 4 total errors (errmax= 2.9775e-04) iedge= 5, ipnt= 3 (Z): anal= 0.83832862, fd= 0.83843636, err= -0.00010774 (at 11.30340357 0.00620438 0.59931181) iedge= 5, ipnt= 4 (Z): anal= 0.83375791, fd= 0.83390826, err= -0.00015035 (at 11.30900150 0.00938855 0.59922686) iedge= 5, ipnt= 5 (Z): anal= 0.82259973, fd= 0.82279660, err= -0.00019687 (at 11.32078863 0.01375901 0.59905447) iedge= 5, ipnt= 6 (Z): anal= 0.77122003, fd= 0.77146938, err= -0.00024935 (at 11.36630598 0.02350197 0.59844446) iedge= 5, ipnt= 7 (Z): anal= 0.66883594, fd= 0.66906754, err= -0.00023160 (at 11.44943924 0.03349792 0.59751871) iedge= 5, ipnt= 8 (Z): anal= 0.55828707, fd= 0.55847293, err= -0.00018586 (at 11.53330408 0.03997386 0.59678292) iedge= 5, ipnt= 9 (Z): anal= 0.44419593, fd= 0.44432644, err= -0.00013051 (at 11.61743995 0.04457716 0.59621498) iedge= 5, ipnt= 25 (Z): anal= -0.00644605, fd= -0.00634135, err= -0.00010471 (at 12.96822054 0.03907570 0.59744662) iedge= 14, ipnt= 25 (Z): anal= 0.37035216, fd= 0.37046414, err= -0.00011199 (at 11.67209398 -0.04686828 0.59592650) iedge= 14, ipnt= 26 (Z): anal= 0.49516528, fd= 0.49532592, err= -0.00016063 (at 11.57994604 -0.04270852 0.59644854) iedge= 14, ipnt= 27 (Z): anal= 0.61864105, fd= 0.61885331, err= -0.00021226 (at 11.48801832 -0.03677592 0.59715761) iedge= 14, ipnt= 28 (Z): anal= 0.73495982, fd= 0.73520856, err= -0.00024874 (at 11.39662208 -0.02779405 0.59808174) iedge= 14, ipnt= 29 (Z): anal= 0.82323024, fd= 0.82342703, err= -0.00019679 (at 11.32018692 -0.01356766 0.59906334) iedge= 14, ipnt= 30 (Z): anal= 0.83752824, fd= 0.83765055, err= -0.00012231 (at 11.30495379 -0.00730233 0.59928647) d(Edge)/d(fuse) check complete with 14 total errors (errmax= 2.4935e-04) d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.9651e-05) ********************************************************* Starting configuration sensitivity wrt "fuse[12,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[12,1]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 5.7429e-09) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.3474e-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= 5.8216e-07) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 6.9933e-05) inode= 10, ipnt= 0 (X): anal= -0.40244848, fd= -0.40316852, 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= 8.5857e-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= -0.00059466 (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= -0.00023409 (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= 2.6015e-09) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.4659e-06) d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.9546e-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= 6.3913e-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= -0.12512549, err= 0.00022334 (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= 0.00022517 (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= 0.00520057, 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= -0.00024369 (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= 3.4356e-09) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0005e-06) d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.0519e-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= -0.00036619 (at 13.05075993 0.29743193 0.26053120) iedge= 12, ipnt= 7 (Y): anal= -0.46666712, fd= -0.46695895, err= 0.00029183 (at 13.12505891 0.26936245 0.16777278) iedge= 12, ipnt= 8 (Y): anal= -0.02061440, fd= -0.02073612, err= 0.00012172 (at 13.00643555 0.26759617 0.16437465) iedge= 12, ipnt= 9 (Y): anal= 0.28925152, fd= 0.28899882, err= 0.00025270 (at 12.88777568 0.26628088 0.16202910) iedge= 21, ipnt= 8 (Y): anal= 0.21234502, fd= 0.21194297, err= 0.00040204 (at 13.05638272 -0.29741246 0.26035601) d(Edge)/d(fuse) check complete with 5 total errors (errmax= 4.0204e-04) inode= 10, ipnt= 0 (X): anal= 0.12367542, fd= 0.12389673, err= -0.00022131 (at 12.23391938 0.28719104 0.21505104) inode= 10, ipnt= 0 (Y): anal= 0.26520271, fd= 0.26569739, err= -0.00049468 (at 12.23391938 0.28719104 0.21505104) inode= 10, ipnt= 0 (Z): anal= 0.01224497, fd= 0.01392461, err= -0.00167964 (at 12.23391938 0.28719104 0.21505104) inode= 18, ipnt= 0 (Y): anal= -0.26586868, fd= -0.26569739, err= -0.00017129 (at 12.23391938 -0.28719104 0.21505104) inode= 18, ipnt= 0 (Z): anal= 0.01450664, fd= 0.01392461, err= 0.00058203 (at 12.23391938 -0.28719104 0.21505104) d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.6796e-03) ********************************************************* Starting configuration sensitivity wrt "fuse[14,3]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[14,3]" for ibody=84 iface= 1, ipnt= 463 (Z): anal= 1.04072659, fd= 1.04096512, err= -0.00023853 (at 13.88948897 0.05852720 0.00576835) iface= 1, ipnt= 481 (Z): anal= 0.55859693, fd= 0.55873096, err= -0.00013403 (at 13.94474447 0.02940482 0.00144883) iface= 1, ipnt= 641 (Z): anal= 1.63049429, fd= 1.63028329, err= 0.00021100 (at 13.47689156 0.11401613 0.02250134) iface= 1, ipnt= 722 (Z): anal= 1.12408656, fd= 1.12394235, err= 0.00014421 (at 13.30582220 0.11050690 0.02108269) iface= 1, ipnt= 728 (Z): anal= 1.74538050, fd= 1.74516148, err= 0.00021902 (at 13.66499951 0.11702560 0.02376469) iface= 1, ipnt= 823 (Z): anal= 1.84097177, fd= 1.84081587, err= 0.00015590 (at 13.53776286 0.09674920 0.01602235) iface= 1, ipnt=1051 (Z): anal= 0.06201279, fd= 0.06212621, err= -0.00011342 (at 13.33430848 0.13371593 0.56854144) iface= 1, ipnt=1200 (Z): anal= 0.06351907, fd= 0.06368623, err= -0.00016716 (at 13.39231925 0.12402764 0.57314665) iface= 2, ipnt= 493 (Z): anal= 0.55859693, fd= 0.55873096, err= -0.00013403 (at 13.94474447 -0.02940482 0.00144883) iface= 2, ipnt= 641 (Z): anal= 1.60533990, fd= 1.60513174, err= 0.00020816 (at 13.46677686 -0.11442036 0.02266738) iface= 2, ipnt= 720 (Z): anal= 0.95994132, fd= 0.95981738, err= 0.00012394 (at 13.26303596 -0.11099771 0.02127784) iface= 2, ipnt= 846 (Z): anal= 1.83890312, fd= 1.83874461, err= 0.00015851 (at 13.53750277 -0.09705778 0.01612766) iface= 2, ipnt= 847 (Z): anal= 1.50569055, fd= 1.50555924, err= 0.00013130 (at 13.72900859 -0.13635447 0.03277687) iface= 2, ipnt= 962 (Z): anal= 1.62428103, fd= 1.62413080, err= 0.00015022 (at 13.65507837 -0.13535699 0.03226599) iface= 2, ipnt=1043 (Z): anal= 0.07145195, fd= 0.07164671, err= -0.00019476 (at 13.46812450 -0.12262493 0.57377986) iface= 2, ipnt=1051 (Z): anal= 1.56406139, fd= 1.56389028, err= 0.00017111 (at 13.77251720 -0.10568514 0.01923329) iface= 2, ipnt=1140 (Z): anal= 0.06542262, fd= 0.06560017, err= -0.00017755 (at 13.41354113 -0.12294266 0.57363655) iface= 2, ipnt=1141 (Z): anal= 0.04571967, fd= 0.04586690, err= -0.00014723 (at 13.31134778 -0.11614989 0.57658517) ...too many errors to list d(Face)/d(fuse) check complete with 23 total errors (errmax= 2.6505e-04) iedge= 5, ipnt= 17 (Z): anal= -0.00250330, fd= -0.00237870, err= -0.00012460 (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= 0.00063309 (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= 0.00085357 (at 13.51913746 -0.02061622 0.59926431) iedge= 14, ipnt= 6 (Z): anal= 0.00169059, fd= 0.00088869, err= 0.00080191 (at 13.42686310 -0.02406514 0.59900064) iedge= 14, ipnt= 7 (Z): anal= 0.00198362, fd= 0.00131608, err= 0.00066754 (at 13.33457580 -0.02737374 0.59871273) iedge= 14, ipnt= 8 (Z): anal= 0.00192913, fd= 0.00143415, err= 0.00049498 (at 13.24227619 -0.03054152 0.59840619) iedge= 14, ipnt= 9 (Z): anal= 0.00146578, fd= 0.00117244, err= 0.00029334 (at 13.14996466 -0.03356563 0.59808726) iedge= 14, ipnt= 10 (Z): anal= 0.00063617, fd= 0.00053284, err= 0.00010333 (at 13.05764152 -0.03644075 0.59776190) ...too many errors to list d(Edge)/d(fuse) check complete with 46 total errors (errmax= 1.0869e-03) inode= 10, ipnt= 0 (Z): anal= 0.00241546, fd= 0.00274679, err= -0.00033133 (at 12.23391938 0.28719104 0.21505104) inode= 18, ipnt= 0 (Z): anal= 0.00286160, fd= 0.00274679, err= 0.00011481 (at 12.23391938 -0.28719104 0.21505104) d(Node)/d(fuse) check complete with 2 total errors (errmax= 3.3133e-04) ********************************************************* Starting configuration sensitivity wrt "fuse[14,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[14,4]" for ibody=84 iface= 1, ipnt= 463 (Z): anal= 0.01024470, fd= 0.01000617, err= 0.00023853 (at 13.88948897 0.05852720 0.00576835) iface= 1, ipnt= 481 (Z): anal= 0.00207364, fd= 0.00193961, err= 0.00013403 (at 13.94474447 0.02940482 0.00144883) iface= 1, ipnt= 641 (Z): anal= 0.06386323, fd= 0.06407422, err= -0.00021100 (at 13.47689156 0.11401613 0.02250134) iface= 1, ipnt= 722 (Z): anal= 0.04117709, fd= 0.04132130, err= -0.00014421 (at 13.30582220 0.11050690 0.02108269) iface= 1, ipnt= 728 (Z): anal= 0.07227576, fd= 0.07249477, err= -0.00021902 (at 13.66499951 0.11702560 0.02376469) iface= 1, ipnt= 823 (Z): anal= 0.05074385, fd= 0.05089975, err= -0.00015590 (at 13.53776286 0.09674920 0.01602235) iface= 1, ipnt=1051 (Z): anal= 1.11841858, fd= 1.11830524, err= 0.00011334 (at 13.33430848 0.13371593 0.56854144) iface= 1, ipnt=1200 (Z): anal= 1.35138132, fd= 1.35121419, err= 0.00016713 (at 13.39231925 0.12402764 0.57314665) iface= 2, ipnt= 493 (Z): anal= 0.00207364, fd= 0.00193961, err= 0.00013403 (at 13.94474447 -0.02940482 0.00144883) iface= 2, ipnt= 641 (Z): anal= 0.06336000, fd= 0.06356817, err= -0.00020816 (at 13.46677686 -0.11442036 0.02266738) iface= 2, ipnt= 720 (Z): anal= 0.03550303, fd= 0.03562697, err= -0.00012394 (at 13.26303596 -0.11099771 0.02127784) iface= 2, ipnt= 846 (Z): anal= 0.05103193, fd= 0.05119044, err= -0.00015851 (at 13.53750277 -0.09705778 0.01612766) iface= 2, ipnt= 847 (Z): anal= 0.08716186, fd= 0.08729316, err= -0.00013130 (at 13.72900859 -0.13635447 0.03277687) iface= 2, ipnt= 962 (Z): anal= 0.09252081, fd= 0.09267104, err= -0.00015022 (at 13.65507837 -0.13535699 0.03226599) iface= 2, ipnt=1043 (Z): anal= 1.55837437, fd= 1.55817967, err= 0.00019470 (at 13.46812450 -0.12262493 0.57377986) iface= 2, ipnt=1051 (Z): anal= 0.05196325, fd= 0.05213436, err= -0.00017111 (at 13.77251720 -0.10568514 0.01923329) iface= 2, ipnt=1140 (Z): anal= 1.41879740, fd= 1.41861993, err= 0.00017747 (at 13.41354113 -0.12294266 0.57363655) iface= 2, ipnt=1141 (Z): anal= 1.12130129, fd= 1.12115418, err= 0.00014711 (at 13.31134778 -0.11614989 0.57658517) ...too many errors to list d(Face)/d(fuse) check complete with 23 total errors (errmax= 2.6505e-04) iedge= 5, ipnt= 15 (Z): anal= -0.13419678, fd= -0.13432698, err= 0.00013019 (at 12.12380394 0.05367370 0.59524176) iedge= 5, ipnt= 17 (Z): anal= -0.34416251, fd= -0.34428764, err= 0.00012513 (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= -0.58613967, 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= -0.00116701 (at 13.42686310 -0.02406514 0.59900064) iedge= 14, ipnt= 7 (Z): anal= 1.47035789, fd= 1.47256505, err= -0.00220717 (at 13.33457580 -0.02737374 0.59871273) iedge= 14, ipnt= 8 (Z): anal= 1.05352532, fd= 1.05428651, 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= 7.9710e-09) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.5963e-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= -0.09164958, err= 0.00016361 (at 12.23391938 0.28719104 0.21505104) inode= 10, ipnt= 0 (Y): anal= -0.19617744, fd= -0.19654317, err= 0.00036573 (at 12.23391938 0.28719104 0.21505104) inode= 10, ipnt= 0 (Z): anal= -0.00905792, fd= -0.01030039, err= 0.00124247 (at 12.23391938 0.28719104 0.21505104) inode= 18, ipnt= 0 (Y): anal= 0.19667008, fd= 0.19654317, err= 0.00012691 (at 12.23391938 -0.28719104 0.21505104) inode= 18, ipnt= 0 (Z): anal= -0.01073094, fd= -0.01030039, err= -0.00043055 (at 12.23391938 -0.28719104 0.21505104) d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.2425e-03) ********************************************************* Starting configuration sensitivity wrt "fuse[15,3]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[15,3]" for ibody=84 iface= 1, ipnt= 479 (Z): anal= 0.00447951, fd= 0.00435725, err= 0.00012226 (at 13.94800836 0.06097290 0.59373512) iface= 1, ipnt= 481 (Z): anal= 0.43067615, fd= 0.43088359, err= -0.00020745 (at 13.94474447 0.02940482 0.00144883) iface= 1, ipnt= 491 (Z): anal= 0.00062463, fd= 0.00036938, err= 0.00025525 (at 13.99014410 0.01528234 0.59960871) iface= 1, ipnt= 641 (Z): anal= -1.11535065, fd= -1.11518931, err= -0.00016134 (at 13.47689156 0.11401613 0.02250134) iface= 1, ipnt= 722 (Z): anal= -0.80721884, fd= -0.80710453, err= -0.00011431 (at 13.30582220 0.11050690 0.02108269) iface= 1, ipnt= 728 (Z): anal= -1.04798024, fd= -1.04782851, err= -0.00015173 (at 13.66499951 0.11702560 0.02376469) iface= 1, ipnt= 823 (Z): anal= -1.22410063, fd= -1.22398393, err= -0.00011670 (at 13.53776286 0.09674920 0.01602235) iface= 1, ipnt=1200 (Z): anal= -0.04482068, fd= -0.04495122, err= 0.00013054 (at 13.39231925 0.12402764 0.57314665) iface= 2, ipnt= 480 (Z): anal= 0.00410616, fd= 0.00399383, err= 0.00011233 (at 13.94404508 -0.06114721 0.59369893) iface= 2, ipnt= 490 (Z): anal= 0.00062463, fd= 0.00036938, err= 0.00025525 (at 13.99014410 -0.01528234 0.59960871) iface= 2, ipnt= 493 (Z): anal= 0.43067615, fd= 0.43088359, err= -0.00020745 (at 13.94474447 -0.02940482 0.00144883) iface= 2, ipnt= 641 (Z): anal= -1.10251625, fd= -1.10235660, err= -0.00015964 (at 13.46677686 -0.11442036 0.02266738) iface= 2, ipnt= 846 (Z): anal= -1.22289508, fd= -1.22277641, err= -0.00011867 (at 13.53750277 -0.09705778 0.01612766) iface= 2, ipnt= 962 (Z): anal= -0.98640477, fd= -0.98629979, err= -0.00010498 (at 13.65507837 -0.13535699 0.03226599) iface= 2, ipnt=1043 (Z): anal= -0.04919235, fd= -0.04934166, err= 0.00014930 (at 13.46812450 -0.12262493 0.57377986) iface= 2, ipnt=1051 (Z): anal= -0.76029107, fd= -0.76019068, err= -0.00010039 (at 13.77251720 -0.10568514 0.01923329) iface= 2, ipnt=1140 (Z): anal= -0.04588569, fd= -0.04602371, err= 0.00013802 (at 13.41354113 -0.12294266 0.57363655) iface= 2, ipnt=1141 (Z): anal= -0.03289804, fd= -0.03301465, err= 0.00011661 (at 13.31134778 -0.11614989 0.57658517) ...too many errors to list d(Face)/d(fuse) check complete with 21 total errors (errmax= 2.5525e-04) iedge= 2, ipnt= 1 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 0.05852709 0.00576834) iedge= 2, ipnt= 17 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 0.05852709 0.59423166) iedge= 2, ipnt= 18 (Z): anal= 0.00273238, fd= 0.00239147, err= 0.00034091 (at 14.00000000 0.02940488 0.59855116) iedge= 5, ipnt= 17 (Z): anal= 0.00177354, fd= 0.00167261, err= 0.00010093 (at 12.29273325 0.05274036 0.59546611) iedge= 5, ipnt= 18 (Z): anal= 0.00217105, fd= 0.00203865, err= 0.00013240 (at 12.37719452 0.05180346 0.59563838) iedge= 5, ipnt= 19 (Z): anal= 0.00241025, fd= 0.00224971, err= 0.00016055 (at 12.46165048 0.05059912 0.59584217) iedge= 5, ipnt= 20 (Z): anal= 0.00246007, fd= 0.00227748, err= 0.00018259 (at 12.54609974 0.04915555 0.59607170) iedge= 5, ipnt= 21 (Z): anal= 0.00231072, fd= 0.00211582, err= 0.00019490 (at 12.63054125 0.04749672 0.59632179) iedge= 5, ipnt= 22 (Z): anal= 0.00197387, fd= 0.00178266, err= 0.00019121 (at 12.71497442 0.04564304 0.59658791) iedge= 5, ipnt= 23 (Z): anal= 0.00148126, fd= 0.00131393, err= 0.00016733 (at 12.79939881 0.04361213 0.59686617) iedge= 5, ipnt= 24 (Z): anal= 0.00088204, fd= 0.00076354, err= 0.00011850 (at 12.88381421 0.04141894 0.59715329) iedge= 5, ipnt= 27 (Z): anal= -0.00083690, fd= -0.00062178, err= -0.00021512 (at 13.13700567 0.03397837 0.59804182) iedge= 5, ipnt= 28 (Z): anal= -0.00106172, fd= -0.00069980, err= -0.00036192 (at 13.22138394 0.03123871 0.59833486) ...too many errors to list iedge= 12, ipnt= 7 (Y): anal= 0.13539747, fd= 0.13495356, err= 0.00044392 (at 13.12505891 0.26936245 0.16777278) iedge= 12, ipnt= 7 (Z): anal= 0.00587223, fd= 0.00683761, err= -0.00096538 (at 13.12505891 0.26936245 0.16777278) iedge= 12, ipnt= 8 (Y): anal= 0.00629372, fd= 0.00667979, err= -0.00038607 (at 13.00643555 0.26759617 0.16437465) iedge= 12, ipnt= 8 (Z): anal= 0.00029577, fd= -0.00009171, err= 0.00038748 (at 13.00643555 0.26759617 0.16437465) iedge= 12, ipnt= 9 (Y): anal= -0.09110826, fd= -0.08996759, err= -0.00114066 (at 12.88777568 0.26628088 0.16202910) iedge= 12, ipnt= 9 (Z): anal= -0.00468786, fd= -0.00592007, err= 0.00123221 (at 12.88777568 0.26628088 0.16202910) iedge= 12, ipnt= 10 (Y): anal= -0.14911667, fd= -0.14932274, err= 0.00020607 (at 12.76911894 0.26562722 0.16103673) iedge= 12, ipnt= 10 (Z): anal= -0.00850890, fd= -0.00939791, err= 0.00088901 (at 12.76911894 0.26562722 0.16103673) iedge= 12, ipnt= 11 (Z): anal= -0.01092924, fd= -0.01169508, err= 0.00076584 (at 12.65054226 0.26590586 0.16183500) iedge= 14, ipnt= 2 (Z): anal= 0.00029902, fd= 0.00051146, err= -0.00021244 (at 13.79587588 -0.00939809 0.59984840) iedge= 14, ipnt= 3 (Z): anal= 0.00038754, fd= 0.00080892, err= -0.00042138 (at 13.70364478 -0.01328783 0.59969462) iedge= 14, ipnt= 4 (Z): anal= 0.00021039, fd= 0.00078128, err= -0.00057088 (at 13.61139828 -0.01702513 0.59949773) iedge= 14, ipnt= 5 (Z): anal= -0.00016975, fd= 0.00047421, err= -0.00064396 (at 13.51913746 -0.02061622 0.59926431) iedge= 14, ipnt= 6 (Z): anal= -0.00061298, fd= 0.00000797, err= -0.00062096 (at 13.42686310 -0.02406514 0.59900064) iedge= 14, ipnt= 7 (Z): anal= -0.00095993, fd= -0.00043372, err= -0.00052621 (at 13.33457580 -0.02737374 0.59871273) iedge= 14, ipnt= 8 (Z): anal= -0.00107651, fd= -0.00068118, err= -0.00039533 (at 13.24227619 -0.03054152 0.59840619) iedge= 14, ipnt= 9 (Z): anal= -0.00088831, fd= -0.00065202, err= -0.00023629 (at 13.14996466 -0.03356563 0.59808726) iedge= 14, ipnt= 12 (Z): anal= 0.00096297, fd= 0.00083675, err= 0.00012622 (at 12.87296185 -0.04170950 0.59711601) iedge= 14, ipnt= 13 (Z): anal= 0.00160212, fd= 0.00142689, err= 0.00017524 (at 12.78060570 -0.04407878 0.59680337) ...too many errors to list iedge= 16, ipnt= 1 (Z): anal= 0.00273238, fd= 0.00239147, err= 0.00034091 (at 14.00000000 -0.02940488 0.59855116) iedge= 16, ipnt= 2 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 -0.05852709 0.59423166) iedge= 16, ipnt= 18 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 -0.05852709 0.00576834) d(Edge)/d(fuse) check complete with 47 total errors (errmax= 1.2322e-03) inode= 10, ipnt= 0 (Z): anal= -0.00178678, fd= -0.00203189, err= 0.00024510 (at 12.23391938 0.28719104 0.21505104) d(Node)/d(fuse) check complete with 1 total errors (errmax= 2.4510e-04) ********************************************************* Starting configuration sensitivity wrt "fuse[15,4]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[15,4]" for ibody=84 iface= 1, ipnt= 479 (Z): anal= 0.44495900, fd= 0.44508132, err= -0.00012232 (at 13.94800836 0.06097290 0.59373512) iface= 1, ipnt= 481 (Z): anal= 0.00066328, fd= 0.00045583, err= 0.00020745 (at 13.94474447 0.02940482 0.00144883) iface= 1, ipnt= 491 (Z): anal= 0.89769884, fd= 0.89795523, err= -0.00025639 (at 13.99014410 0.01528234 0.59960871) iface= 1, ipnt= 641 (Z): anal= -0.04384375, fd= -0.04400509, err= 0.00016134 (at 13.47689156 0.11401613 0.02250134) iface= 1, ipnt= 722 (Z): anal= -0.02966915, fd= -0.02978346, err= 0.00011431 (at 13.30582220 0.11050690 0.02108269) iface= 1, ipnt= 728 (Z): anal= -0.04358455, fd= -0.04373628, err= 0.00015173 (at 13.66499951 0.11702560 0.02376469) iface= 1, ipnt= 823 (Z): anal= -0.03386027, fd= -0.03397697, err= 0.00011670 (at 13.53776286 0.09674920 0.01602235) iface= 1, ipnt=1200 (Z): anal= -0.95100483, fd= -0.95087434, err= -0.00013049 (at 13.39231925 0.12402764 0.57314665) iface= 2, ipnt= 480 (Z): anal= 0.40655336, fd= 0.40666574, err= -0.00011239 (at 13.94404508 -0.06114721 0.59369893) iface= 2, ipnt= 490 (Z): anal= 0.89769884, fd= 0.89795523, err= -0.00025639 (at 13.99014410 -0.01528234 0.59960871) iface= 2, ipnt= 493 (Z): anal= 0.00066328, fd= 0.00045583, err= 0.00020745 (at 13.94474447 -0.02940482 0.00144883) iface= 2, ipnt= 641 (Z): anal= -0.04366914, fd= -0.04382879, err= 0.00015964 (at 13.46677686 -0.11442036 0.02266738) iface= 2, ipnt= 846 (Z): anal= -0.03405854, fd= -0.03417721, err= 0.00011867 (at 13.53750277 -0.09705778 0.01612766) iface= 2, ipnt= 962 (Z): anal= -0.05631642, fd= -0.05642140, err= 0.00010498 (at 13.65507837 -0.13535699 0.03226599) iface= 2, ipnt=1043 (Z): anal= -1.06971119, fd= -1.06956190, err= -0.00014929 (at 13.46812450 -0.12262493 0.57377986) iface= 2, ipnt=1051 (Z): anal= -0.02541805, fd= -0.02551843, err= 0.00010039 (at 13.77251720 -0.10568514 0.01923329) iface= 2, ipnt=1140 (Z): anal= -0.99230508, fd= -0.99216709, err= -0.00013799 (at 13.41354113 -0.12294266 0.57363655) iface= 2, ipnt=1141 (Z): anal= -0.80433888, fd= -0.80422231, err= -0.00011657 (at 13.31134778 -0.11614989 0.57658517) ...too many errors to list d(Face)/d(fuse) check complete with 21 total errors (errmax= 2.5639e-04) iedge= 2, ipnt= 1 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 0.05852709 0.00576834) iedge= 2, ipnt= 17 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 0.05852709 0.59423166) iedge= 2, ipnt= 18 (Z): anal= 0.98763322, fd= 0.98797414, err= -0.00034091 (at 14.00000000 0.02940488 0.59855116) iedge= 5, ipnt= 17 (Z): anal= 0.25466419, fd= 0.25476553, err= -0.00010134 (at 12.29273325 0.05274036 0.59546611) iedge= 5, ipnt= 18 (Z): anal= 0.32594988, fd= 0.32608238, err= -0.00013250 (at 12.37719452 0.05180346 0.59563838) iedge= 5, ipnt= 19 (Z): anal= 0.38401529, fd= 0.38417607, err= -0.00016078 (at 12.46165048 0.05059912 0.59584217) iedge= 5, ipnt= 20 (Z): anal= 0.42213197, fd= 0.42231477, err= -0.00018280 (at 12.54609974 0.04915555 0.59607170) iedge= 5, ipnt= 21 (Z): anal= 0.43355559, fd= 0.43375057, err= -0.00019497 (at 12.63054125 0.04749672 0.59632179) iedge= 5, ipnt= 22 (Z): anal= 0.41152344, fd= 0.41172013, err= -0.00019669 (at 12.71497442 0.04564304 0.59658791) iedge= 5, ipnt= 23 (Z): anal= 0.34925387, fd= 0.34948366, err= -0.00022978 (at 12.79939881 0.04361213 0.59686617) iedge= 5, ipnt= 24 (Z): anal= 0.23994767, fd= 0.24046775, err= -0.00052008 (at 12.88381421 0.04141894 0.59715329) iedge= 5, ipnt= 25 (Z): anal= 0.07679072, fd= 0.07812012, err= -0.00132939 (at 12.96822054 0.03907570 0.59744662) iedge= 5, ipnt= 26 (Z): anal= -0.14559279, fd= -0.14574387, err= 0.00015108 (at 13.05261778 0.03659278 0.59774416) ...too many errors to list iedge= 14, ipnt= 2 (Z): anal= -0.77060451, fd= -0.77080346, err= 0.00019895 (at 13.79587588 -0.00939809 0.59984840) iedge= 14, ipnt= 3 (Z): anal= -1.18130652, fd= -1.18171610, err= 0.00040958 (at 13.70364478 -0.01328783 0.59969462) iedge= 14, ipnt= 4 (Z): anal= -1.37639721, fd= -1.37696775, err= 0.00057054 (at 13.61139828 -0.01702513 0.59949773) iedge= 14, ipnt= 5 (Z): anal= -1.39405940, fd= -1.39472916, err= 0.00066977 (at 13.51913746 -0.02061622 0.59926431) iedge= 14, ipnt= 6 (Z): anal= -1.27256049, fd= -1.27348211, err= 0.00092163 (at 13.42686310 -0.02406514 0.59900064) iedge= 14, ipnt= 7 (Z): anal= -1.05019685, fd= -1.05199111, err= 0.00179426 (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= 2.4838e-08) d(Edge)/d(wing) check complete with 0 total errors (errmax= 2.1369e-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= 3.9740e-07) d(Edge)/d(wing) check complete with 0 total errors (errmax= 6.1540e-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= 6.5613e-07) d(Edge)/d(wing) check complete with 0 total errors (errmax= 3.7317e-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= 0.00306250 (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= 5.9958e-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= 6.9648e-08) d(Edge)/d(wing) check complete with 0 total errors (errmax= 2.7316e-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= 1.0160e-08) d(Edge)/d(wing) check complete with 0 total errors (errmax= 2.1304e-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= 4.5104e-07) d(Edge)/d(wing) check complete with 0 total errors (errmax= 6.1241e-05) inode= 7, ipnt= 0 (X): anal= -1.58048130, fd= -1.58138048, err= 0.00089918 (at 5.60398146 0.53466049 0.20000000) inode= 7, ipnt= 0 (Y): anal= 0.00794160, fd= 0.00753314, err= 0.00040846 (at 5.60398146 0.53466049 0.20000000) inode= 7, ipnt= 0 (Z): anal= 0.00084179, fd= 0.00000000, err= 0.00084179 (at 5.60398146 0.53466049 0.20000000) inode= 15, ipnt= 0 (X): anal= -1.57040916, fd= -1.58138048, err= 0.01097132 (at 5.60398146 -0.53466049 0.20000000) inode= 15, ipnt= 0 (Y): anal= -0.01183073, fd= -0.00753314, err= -0.00429760 (at 5.60398146 -0.53466049 0.20000000) inode= 15, ipnt= 0 (Z): anal= 0.00895239, fd= 0.00000000, err= 0.00895239 (at 5.60398146 -0.53466049 0.20000000) d(Node)/d(wing) check complete with 6 total errors (errmax= 1.0971e-02) ********************************************************* Starting configuration sensitivity wrt "wing[2,3]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "wing[2,3]" for ibody=84 d(Face)/d(wing) check complete with 0 total errors (errmax= 9.1506e-07) d(Edge)/d(wing) check complete with 0 total errors (errmax= 5.0475e-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= 6.6752e-07) d(Node)/d(wing) check complete with 0 total errors (errmax= 2.6335e-07) ********************************************************* Starting configuration sensitivity wrt "wing[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "wing[3,1]" for ibody=84 d(Face)/d(wing) check complete with 0 total errors (errmax= 2.8875e-09) d(Edge)/d(wing) check complete with 0 total errors (errmax= 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= 2.1193e-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= 2.0231e-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= 1.3221e-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= 8.0040e-08) d(Edge)/d(wing) check complete with 0 total errors (errmax= 3.6069e-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= 5.6904e-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= 0.00062090, 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= 1.6697e-06) d(Edge)/d(zroot_h) check complete with 0 total errors (errmax= 3.7866e-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= 1.3747e-07) d(Edge)/d(aroot_h) check complete with 0 total errors (errmax= 2.8758e-07) d(Node)/d(aroot_h) check complete with 0 total errors (errmax= 1.2277e-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= 1.4846e-06) d(Edge)/d(area_h) check complete with 0 total errors (errmax= 2.5415e-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= 1.2987e-05) d(Edge)/d(taper_h) check complete with 0 total errors (errmax= 2.2594e-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= 2.9095e-06) d(Edge)/d(aspect_h) check complete with 0 total errors (errmax= 4.9963e-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= 3.6821e-09) d(Edge)/d(sweep_h) check complete with 0 total errors (errmax= 3.9015e-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= 2.7227e-09) d(Edge)/d(dihed_h) check complete with 0 total errors (errmax= 1.8959e-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= 8.1598e-08) d(Edge)/d(twist_h) check complete with 0 total errors (errmax= 4.8071e-08) d(Node)/d(twist_h) check complete with 0 total errors (errmax= 9.8698e-09) ********************************************************* Starting configuration sensitivity wrt "xroot_v" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "xroot_v" for ibody=84 d(Face)/d(xroot_v) check complete with 0 total errors (errmax= 2.4256e-08) d(Edge)/d(xroot_v) check complete with 0 total errors (errmax= 3.3964e-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= 2.4202e-08) d(Edge)/d(zroot_v) check complete with 0 total errors (errmax= 3.3795e-05) d(Node)/d(zroot_v) check complete with 0 total errors (errmax= 8.2995e-06) ********************************************************* Starting configuration sensitivity wrt "area_v" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "area_v" for ibody=84 d(Face)/d(area_v) check complete with 0 total errors (errmax= 2.4639e-07) d(Edge)/d(area_v) check complete with 0 total errors (errmax= 4.0536e-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= 3.6070e-06) d(Edge)/d(taper_v) check complete with 0 total errors (errmax= 5.8368e-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= 7.8968e-07) d(Edge)/d(aspect_v) check complete with 0 total errors (errmax= 1.2783e-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= 2.0235e-09) d(Edge)/d(sweep_v) check complete with 0 total errors (errmax= 1.2006e-07) d(Node)/d(sweep_v) check complete with 0 total errors (errmax= 7.4348e-08) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 12.884 sec Sensitivity checks complete with 598 total errors (max config err= 1.7094e-02) with 0 suppressions real 7m9.265s user 13m3.504s sys 0m50.336s ++++ set +x data/basic/design9 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 46 / 180 ) data/basic/designA.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.003 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m0.093s user 0m0.088s sys 0m0.012s ++++ set +x data/basic/designA -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 47 / 180 ) data/basic/designB1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 6.9017e-08) ********************************************************* Starting configuration sensitivity wrt "DY" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "DY" for ibody=19 d(Face)/d(DY) check complete with 0 total errors (errmax= 8.0749e-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= 1.6797e-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= 1.8137e-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 0m2.191s user 0m2.120s sys 0m0.956s ++++ set +x data/basic/designB1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 48 / 180 ) data/basic/designB2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 6.9017e-08) ********************************************************* Starting configuration sensitivity wrt "DY" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "DY" for ibody=22 d(Face)/d(DY) check complete with 0 total errors (errmax= 8.0749e-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= 1.6797e-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= 1.6797e-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= 1.8137e-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 -> 0.058 sec Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions real 0m2.102s user 0m1.944s sys 0m1.040s ++++ set +x data/basic/designB2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 49 / 180 ) data/basic/designB3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB3.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "DX" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=37 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DY" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=37 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DZ" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=37 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "move" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=37 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "rad" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=37 Sensitivity checks complete with 0 total errors ( finite diffs ) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 2.055 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m1.885s user 0m1.792s sys 0m0.940s ++++ set +x data/basic/designB3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 50 / 180 ) data/basic/designB4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 6.9017e-08) ********************************************************* Starting configuration sensitivity wrt "DY" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Computing finite difference sensitivities for ibody=25 Comparing configuration sensitivities wrt "DY" for ibody=25 d(Face)/d(DY) check complete with 0 total errors (errmax= 8.0749e-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= 2.1643e-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= 1.8137e-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 -> 0.378 sec Sensitivity checks complete with 0 total errors (max config err= 4.8610e-07) with 0 suppressions real 0m3.924s user 0m4.164s sys 0m1.076s ++++ set +x data/basic/designB4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 51 / 180 ) data/basic/designB5.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.3111e-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= 6.9239e-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= 8.0688e-08) d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.1665e-07) d(Node)/d(DY) check complete with 0 total errors (errmax= 2.1643e-07) ********************************************************* Starting configuration sensitivity wrt "DZ" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=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= 3.2238e-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= 1.8137e-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 -> 0.725 sec Sensitivity checks complete with 0 total errors (max config err= 8.6451e-07) with 0 suppressions real 0m7.235s user 0m7.920s sys 0m1.596s ++++ set +x data/basic/designB5 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 52 / 180 ) data/basic/designC0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.005 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.144s user 0m0.152s sys 0m0.008s ++++ set +x data/basic/designC0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 53 / 180 ) data/basic/designC1a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.8331e-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= 2.8331e-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= 3.3885e-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 -> 0.016 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.244s user 0m0.296s sys 0m0.004s ++++ set +x data/basic/designC1a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 54 / 180 ) data/basic/designC1b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.8331e-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= 2.8331e-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= 3.3885e-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 -> 0.013 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.203s user 0m0.264s sys 0m0.016s ++++ set +x data/basic/designC1b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 55 / 180 ) data/basic/designC2a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.9873e-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= 2.9873e-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 -> 0.016 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.222s user 0m0.272s sys 0m0.004s ++++ set +x data/basic/designC2a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 56 / 180 ) data/basic/designC2b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.9873e-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= 2.9873e-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 -> 0.012 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.181s user 0m0.220s sys 0m0.000s ++++ set +x data/basic/designC2b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 57 / 180 ) data/basic/designC3a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.9873e-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= 2.9873e-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 -> 0.016 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.241s user 0m0.292s sys 0m0.000s ++++ set +x data/basic/designC3a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 58 / 180 ) data/basic/designC3b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.9873e-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= 2.9873e-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 -> 0.016 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.248s user 0m0.316s sys 0m0.000s ++++ set +x data/basic/designC3b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 59 / 180 ) data/basic/designC4a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.026 sec Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions real 0m0.233s user 0m0.224s sys 0m0.012s ++++ set +x data/basic/designC4a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 60 / 180 ) data/basic/designC4b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.025 sec Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions real 0m0.223s user 0m0.220s sys 0m0.012s ++++ set +x data/basic/designC4b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 61 / 180 ) data/basic/designC5a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.027 sec Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions real 0m0.231s user 0m0.232s sys 0m0.004s ++++ set +x data/basic/designC5a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 62 / 180 ) data/basic/designC5b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.026 sec Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions real 0m0.231s user 0m0.224s sys 0m0.012s ++++ set +x data/basic/designC5b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 63 / 180 ) data/basic/designC6a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.019 sec Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions real 0m0.205s user 0m0.208s sys 0m0.000s ++++ set +x data/basic/designC6a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 64 / 180 ) data/basic/designC6b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.026 sec Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions real 0m0.243s user 0m0.244s sys 0m0.004s ++++ set +x data/basic/designC6b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 65 / 180 ) data/basic/designD0a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.003 sec Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions real 0m0.095s user 0m0.088s sys 0m0.008s ++++ set +x data/basic/designD0a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 66 / 180 ) data/basic/designD0b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.003 sec Sensitivity checks complete with 0 total errors (max config err= 1.9632e-08) with 0 suppressions real 0m0.070s user 0m0.068s sys 0m0.004s ++++ set +x data/basic/designD0b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 67 / 180 ) data/basic/designD0c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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=1011 (Y): anal= 0.99791052, fd= 0.99772964, err= 0.00018089 (at 0.38959227 0.05840103 -3.75683594) iface= 1, ipnt=1090 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -0.05273438) iface= 1, ipnt=1108 (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= 616 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -0.08203125) iface= 2, ipnt=1011 (Y): anal= 0.99791052, fd= 0.99772967, err= 0.00018085 (at 0.38959227 -0.05840103 -0.24316406) iface= 2, ipnt=1090 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -3.84179688) iface= 2, ipnt=1108 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -3.94726562) 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 -> 0.025 sec Sensitivity checks complete with 18 total errors (max config err= 1.8583e-04) with 0 suppressions real 0m0.574s user 0m0.872s sys 0m0.008s ++++ set +x data/basic/designD0c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 68 / 180 ) data/basic/designD1a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.165 sec Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions real 0m0.567s user 0m0.592s sys 0m0.004s ++++ set +x data/basic/designD1a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 69 / 180 ) data/basic/designD1b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.0781e-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= 6.9104e-11) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "dihedral" for ibody=9 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 2.2043e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.8959e-10) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.3878e-17) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.244 sec Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions real 0m0.916s user 0m0.924s sys 0m0.000s ++++ set +x data/basic/designD1b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 70 / 180 ) data/basic/designD1c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.4022e-09) d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10) ********************************************************* Starting configuration sensitivity wrt "taper" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "taper" for ibody=9 d(Face)/d(taper) check complete with 0 total errors (errmax= 1.3796e-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= 4.8452e-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= 4.5871e-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= 4.8232e-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 -> 0.751 sec Sensitivity checks complete with 0 total errors (max config err= 4.9164e-05) with 0 suppressions real 0m2.564s user 0m2.896s sys 0m0.012s ++++ set +x data/basic/designD1c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 71 / 180 ) data/basic/designD2a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.170 sec Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions real 0m0.572s user 0m0.600s sys 0m0.024s ++++ set +x data/basic/designD2a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 72 / 180 ) data/basic/designD2b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.0781e-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= 5.8595e-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 -> 0.172 sec Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions real 0m0.653s user 0m0.660s sys 0m0.004s ++++ set +x data/basic/designD2b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 73 / 180 ) data/basic/designD2c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 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= 1.4022e-09) d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10) ********************************************************* Starting configuration sensitivity wrt "taper" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "taper" for ibody=9 d(Face)/d(taper) check complete with 0 total errors (errmax= 9.4761e-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= 4.0836e-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= 3.5650e-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 -> 0.739 sec Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions real 0m2.549s user 0m2.908s sys 0m0.004s ++++ set +x data/basic/designD2c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 74 / 180 ) data/basic/designD3a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.150 sec Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions real 0m0.672s user 0m0.700s sys 0m0.004s ++++ set +x data/basic/designD3a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 75 / 180 ) data/basic/designD3b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 9.1713e-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= 1.9357e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.8959e-10) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.3878e-17) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.240 sec Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions real 0m1.103s user 0m1.124s sys 0m0.000s ++++ set +x data/basic/designD3b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 76 / 180 ) data/basic/designD3c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.3268e-11) d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.7065e-09) d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10) ********************************************************* Starting configuration sensitivity wrt "taper" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=15 Computing finite difference sensitivities for ibody=15 Comparing configuration sensitivities wrt "taper" for ibody=15 d(Face)/d(taper) check complete with 0 total errors (errmax= 9.2044e-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= 5.2313e-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= 3.4345e-11) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5334e-11) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 3.6360e-15) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 1.333 sec Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions real 0m4.385s user 0m7.136s sys 0m0.012s ++++ set +x data/basic/designD3c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 77 / 180 ) data/basic/designD4a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.234 sec Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions real 0m1.029s user 0m1.056s sys 0m0.008s ++++ set +x data/basic/designD4a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 78 / 180 ) data/basic/designD4b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.6107e-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= 9.1966e-09) d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10) ********************************************************* Starting configuration sensitivity wrt "lesweep" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=27 Computing finite difference sensitivities for ibody=27 Comparing configuration sensitivities wrt "lesweep" for ibody=27 d(Face)/d(lesweep) check complete with 0 total errors (errmax= 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 -> 0.434 sec Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions real 0m1.961s user 0m1.964s sys 0m0.020s ++++ set +x data/basic/designD4b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 79 / 180 ) data/basic/designD4c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.2346e-11) d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.2624e-09) d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10) ********************************************************* Starting configuration sensitivity wrt "taper" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=27 Computing finite difference sensitivities for ibody=27 Comparing configuration sensitivities wrt "taper" for ibody=27 d(Face)/d(taper) check complete with 0 total errors (errmax= 9.7630e-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= 4.1492e-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= 5.9113e-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= 3.3707e-11) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.4625e-11) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.0660e-13) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 2.146 sec Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions real 0m6.302s user 0m7.444s sys 0m0.016s ++++ set +x data/basic/designD4c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 80 / 180 ) data/basic/designD5a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.189 sec Sensitivity checks complete with 0 total errors (max config err= 5.5998e-10) with 0 suppressions real 0m0.775s user 0m0.796s sys 0m0.016s ++++ set +x data/basic/designD5a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 81 / 180 ) data/basic/designD5b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 9.1713e-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= 1.9357e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.8959e-10) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.3878e-17) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=17 Computing finite difference sensitivities for ibody=17 Comparing configuration sensitivities wrt "rottip" for ibody=17 d(Face)/d(rottip) check complete with 0 total errors (errmax= 5.8398e-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 -> 0.325 sec Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions real 0m1.486s user 0m1.492s sys 0m0.008s ++++ set +x data/basic/designD5b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 82 / 180 ) data/basic/designD5c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.3268e-11) d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.7065e-09) d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10) ********************************************************* Starting configuration sensitivity wrt "taper" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=17 Computing finite difference sensitivities for ibody=17 Comparing configuration sensitivities wrt "taper" for ibody=17 d(Face)/d(taper) check complete with 0 total errors (errmax= 9.2044e-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= 5.2313e-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= 3.4345e-11) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5334e-11) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 3.6360e-15) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=17 Computing finite difference sensitivities for ibody=17 Comparing configuration sensitivities wrt "rottip" for ibody=17 d(Face)/d(rottip) check complete with 0 total errors (errmax= 3.6886e-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 -> 1.450 sec Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions real 0m4.930s user 0m7.780s sys 0m0.020s ++++ set +x data/basic/designD5c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 83 / 180 ) data/basic/designD6a0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.4365e-10) d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.2252e-10) d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.1502e-11) ********************************************************* Starting configuration sensitivity wrt "camber" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=27 Computing finite difference sensitivities for ibody=27 Comparing configuration sensitivities wrt "camber" for ibody=27 d(Face)/d(camber) check complete with 0 total errors (errmax= 1.2934e-10) d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "croot" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=27 Computing finite difference sensitivities for ibody=27 Comparing configuration sensitivities wrt "croot" for ibody=27 d(Face)/d(croot) check complete with 0 total errors (errmax= 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= 1.3263e-10) d(Edge)/d(twist) check complete with 0 total errors (errmax= 2.5324e-10) d(Node)/d(twist) check complete with 0 total errors (errmax= 1.5519e-10) ********************************************************* Starting configuration sensitivity wrt "lesweep" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=27 Computing finite difference sensitivities for ibody=27 Comparing configuration sensitivities wrt "lesweep" for ibody=27 d(Face)/d(lesweep) check complete with 0 total errors (errmax= 4.4923e-10) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.3353e-10) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=27 Computing finite difference sensitivities for ibody=27 Comparing configuration sensitivities wrt "dihedral" for ibody=27 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.4675e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=27 Computing finite difference sensitivities for ibody=27 Comparing configuration sensitivities wrt "rottip" for ibody=27 d(Face)/d(rottip) check complete with 0 total errors (errmax= 1.0195e-10) d(Edge)/d(rottip) check complete with 0 total errors (errmax= 9.2569e-10) d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10) ********************************************************* Starting configuration sensitivity wrt "xbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=27 Computing finite difference sensitivities for ibody=27 Comparing configuration sensitivities wrt "xbase" for ibody=27 d(Face)/d(xbase) check complete with 0 total errors (errmax= 5.1879e-10) d(Edge)/d(xbase) check complete with 0 total errors (errmax= 2.9997e-10) d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "ybase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=27 Computing finite difference sensitivities for ibody=27 Comparing configuration sensitivities wrt "ybase" for ibody=27 d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.3880e-10) d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=27 Computing finite difference sensitivities for ibody=27 Comparing configuration sensitivities wrt "zbase" for ibody=27 d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.3567e-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 -> 0.195 sec Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions real 0m3.527s user 0m3.644s sys 0m0.000s ++++ set +x data/basic/designD6a0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 84 / 180 ) data/basic/designD6a1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.3985e-10) d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.2252e-10) d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.1502e-11) ********************************************************* Starting configuration sensitivity wrt "camber" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=24 Computing finite difference sensitivities for ibody=24 Comparing configuration sensitivities wrt "camber" for ibody=24 d(Face)/d(camber) check complete with 0 total errors (errmax= 1.1024e-10) d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "croot" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=24 Computing finite difference sensitivities for ibody=24 Comparing configuration sensitivities wrt "croot" for ibody=24 d(Face)/d(croot) check complete with 0 total errors (errmax= 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= 5.9275e-10) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.9745e-10) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=24 Computing finite difference sensitivities for ibody=24 Comparing configuration sensitivities wrt "dihedral" for ibody=24 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.9165e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=24 Computing finite difference sensitivities for ibody=24 Comparing configuration sensitivities wrt "rottip" for ibody=24 d(Face)/d(rottip) check complete with 0 total errors (errmax= 1.5090e-10) d(Edge)/d(rottip) check complete with 0 total errors (errmax= 9.2569e-10) d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10) ********************************************************* Starting configuration sensitivity wrt "xbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=24 Computing finite difference sensitivities for ibody=24 Comparing configuration sensitivities wrt "xbase" for ibody=24 d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.9994e-10) d(Edge)/d(xbase) check complete with 0 total errors (errmax= 2.9997e-10) d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "ybase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=24 Computing finite difference sensitivities for ibody=24 Comparing configuration sensitivities wrt "ybase" for ibody=24 d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.3681e-10) d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=24 Computing finite difference sensitivities for ibody=24 Comparing configuration sensitivities wrt "zbase" for ibody=24 d(Face)/d(zbase) check complete with 0 total errors (errmax= 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 -> 0.233 sec Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions real 0m1.962s user 0m2.012s sys 0m0.004s ++++ set +x data/basic/designD6a1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 85 / 180 ) data/basic/designD6a2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.1055e-10) d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.3114e-10) d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.1502e-11) ********************************************************* Starting configuration sensitivity wrt "camber" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=21 Computing finite difference sensitivities for ibody=21 Comparing configuration sensitivities wrt "camber" for ibody=21 d(Face)/d(camber) check complete with 0 total errors (errmax= 1.0477e-10) d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "croot" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=21 Computing finite difference sensitivities for ibody=21 Comparing configuration sensitivities wrt "croot" for ibody=21 d(Face)/d(croot) check complete with 0 total errors (errmax= 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= 5.8269e-10) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.6538e-10) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=21 Computing finite difference sensitivities for ibody=21 Comparing configuration sensitivities wrt "dihedral" for ibody=21 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.7540e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=21 Computing finite difference sensitivities for ibody=21 Comparing configuration sensitivities wrt "rottip" for ibody=21 d(Face)/d(rottip) check complete with 0 total errors (errmax= 1.7140e-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= 1.1988e-10) d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=21 Computing finite difference sensitivities for ibody=21 Comparing configuration sensitivities wrt "zbase" for ibody=21 d(Face)/d(zbase) check complete with 0 total errors (errmax= 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 -> 0.191 sec Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions real 0m1.669s user 0m1.720s sys 0m0.004s ++++ set +x data/basic/designD6a2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 86 / 180 ) data/basic/designD6b0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.2676e-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= 8.8185e-06) d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9197e-06) d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10) ********************************************************* Starting configuration sensitivity wrt "twist" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "twist" for ibody=22 d(Face)/d(twist) check complete with 0 total errors (errmax= 7.0694e-09) d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.7424e-09) d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10) ********************************************************* Starting configuration sensitivity wrt "lesweep" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "lesweep" for ibody=22 d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.5925e-10) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.3353e-10) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "dihedral" for ibody=22 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.8014e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 6.6525e-11) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "rottip" for ibody=22 d(Face)/d(rottip) check complete with 0 total errors (errmax= 3.3605e-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= 1.6635e-10) d(Edge)/d(xbase) check complete with 0 total errors (errmax= 2.9997e-10) d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "ybase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "ybase" for ibody=22 d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.8093e-10) d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.1660e-11) d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "zbase" for ibody=22 d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.5975e-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 -> 0.222 sec Sensitivity checks complete with 392 total errors (max config err= 5.5164e-04) with 0 suppressions real 0m4.089s user 0m4.120s sys 0m0.000s ++++ set +x data/basic/designD6b0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 87 / 180 ) data/basic/designD6b1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 7.1359e-06) d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10) ********************************************************* Starting configuration sensitivity wrt "aspect" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "aspect" for ibody=20 d(Face)/d(aspect) check complete with 0 total errors (errmax= 2.2825e-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= 8.8677e-06) d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9197e-06) d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10) ********************************************************* Starting configuration sensitivity wrt "twist" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "twist" for ibody=20 d(Face)/d(twist) check complete with 0 total errors (errmax= 7.4330e-09) d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.7424e-09) d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10) ********************************************************* Starting configuration sensitivity wrt "lesweep" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "lesweep" for ibody=20 d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.4163e-10) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.9745e-10) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "dihedral" for ibody=20 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.4897e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 8.1905e-11) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "rottip" for ibody=20 d(Face)/d(rottip) check complete with 0 total errors (errmax= 4.6831e-09) d(Edge)/d(rottip) check complete with 0 total errors (errmax= 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= 1.3787e-10) d(Edge)/d(xbase) check complete with 0 total errors (errmax= 2.9997e-10) d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "ybase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "ybase" for ibody=20 d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.4022e-10) d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.1660e-11) d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "zbase" for ibody=20 d(Face)/d(zbase) check complete with 0 total errors (errmax= 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 -> 0.356 sec Sensitivity checks complete with 211 total errors (max config err= 2.0645e-04) with 0 suppressions real 0m1.495s user 0m1.480s sys 0m0.020s ++++ set +x data/basic/designD6b1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 88 / 180 ) data/basic/designD6b2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 7.1359e-06) d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10) ********************************************************* Starting configuration sensitivity wrt "aspect" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "aspect" for ibody=18 d(Face)/d(aspect) check complete with 0 total errors (errmax= 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= 8.8645e-06) d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9197e-06) d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10) ********************************************************* Starting configuration sensitivity wrt "twist" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "twist" for ibody=18 d(Face)/d(twist) check complete with 0 total errors (errmax= 7.3597e-09) d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.7424e-09) d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10) ********************************************************* Starting configuration sensitivity wrt "lesweep" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "lesweep" for ibody=18 d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.3091e-10) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.2109e-10) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "dihedral" for ibody=18 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.1855e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.0255e-10) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "rottip" for ibody=18 d(Face)/d(rottip) check complete with 0 total errors (errmax= 4.1358e-09) d(Edge)/d(rottip) check complete with 0 total errors (errmax= 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= 1.1756e-10) d(Edge)/d(xbase) check complete with 0 total errors (errmax= 5.1396e-10) d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "ybase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "ybase" for ibody=18 d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.3651e-10) d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.1099e-11) d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "zbase" for ibody=18 d(Face)/d(zbase) check complete with 0 total errors (errmax= 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 -> 0.231 sec Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions real 0m1.356s user 0m1.360s sys 0m0.008s ++++ set +x data/basic/designD6b2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 89 / 180 ) data/basic/designD6c0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.9825e-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= 3.0337e-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= 5.0250e-10) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.3353e-10) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "dihedral" for ibody=22 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 4.0501e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 9.9702e-11) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "rottip" for ibody=22 d(Face)/d(rottip) check complete with 0 total errors (errmax= 3.9248e-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= 8.3646e-11) d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=22 Computing finite difference sensitivities for ibody=22 Comparing configuration sensitivities wrt "zbase" for ibody=22 d(Face)/d(zbase) check complete with 0 total errors (errmax= 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 -> 0.936 sec Sensitivity checks complete with 0 total errors (max config err= 4.9086e-05) with 0 suppressions real 0m9.063s user 0m9.908s sys 0m0.008s ++++ set +x data/basic/designD6c0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 90 / 180 ) data/basic/designD6c1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.9175e-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= 9.8818e-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=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= 1.6870e-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= 3.6696e-10) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.9745e-10) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "dihedral" for ibody=20 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.9424e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.0680e-10) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "rottip" for ibody=20 d(Face)/d(rottip) check complete with 0 total errors (errmax= 3.9901e-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= 1.4857e-10) d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.3646e-11) d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "zbase" for ibody=20 d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.8707e-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 -> 1.448 sec Sensitivity checks complete with 0 total errors (max config err= 3.9168e-05) with 0 suppressions real 0m3.918s user 0m4.076s sys 0m0.004s ++++ set +x data/basic/designD6c1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 91 / 180 ) data/basic/designD6c2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.4679e-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= 9.8818e-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=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= 1.6870e-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= 3.2323e-10) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.2109e-10) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "dihedral" for ibody=18 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 2.5013e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5468e-10) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11) ********************************************************* Starting configuration sensitivity wrt "rottip" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "rottip" for ibody=18 d(Face)/d(rottip) check complete with 0 total errors (errmax= 3.9539e-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= 2.2612e-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= 3.6556e-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 -> 0.890 sec Sensitivity checks complete with 0 total errors (max config err= 4.6598e-05) with 0 suppressions real 0m3.454s user 0m3.676s sys 0m0.004s ++++ set +x data/basic/designD6c2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 92 / 180 ) data/basic/designE1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE1.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "dxbar" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "dxbar" for ibody=8 d(Face)/d(dxbar) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(dxbar) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(dxbar) check complete with 0 total errors (errmax= 8.8818e-10) ********************************************************* Starting configuration sensitivity wrt "dybar" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "dybar" for ibody=8 d(Face)/d(dybar) check complete with 0 total errors (errmax= 2.6755e-11) d(Edge)/d(dybar) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(dybar) check complete with 0 total errors (errmax= 2.6755e-11) ********************************************************* Starting configuration sensitivity wrt "dzbar" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "dzbar" for ibody=8 d(Face)/d(dzbar) check complete with 0 total errors (errmax= 2.6755e-11) d(Edge)/d(dzbar) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(dzbar) check complete with 0 total errors (errmax= 2.6755e-11) ********************************************************* Starting configuration sensitivity wrt "dxbox" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "dxbox" for ibody=8 d(Face)/d(dxbox) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(dxbox) check complete with 0 total errors (errmax= 1.0280e-09) d(Node)/d(dxbox) check complete with 0 total errors (errmax= 1.0280e-09) ********************************************************* Starting configuration sensitivity wrt "dybox" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "dybox" for ibody=8 d(Face)/d(dybox) check complete with 0 total errors (errmax= 8.2267e-11) d(Edge)/d(dybox) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(dybox) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "dzbox" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "dzbox" for ibody=8 d(Face)/d(dzbox) check complete with 0 total errors (errmax= 8.2267e-11) d(Edge)/d(dzbox) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(dzbox) check complete with 0 total errors (errmax= 8.2267e-11) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.028 sec Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions real 0m1.011s user 0m0.892s sys 0m0.556s ++++ set +x data/basic/designE1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 93 / 180 ) data/basic/designE2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.039 sec Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions real 0m2.301s user 0m2.612s sys 0m0.856s ++++ set +x data/basic/designE2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 94 / 180 ) data/basic/designE3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.126 sec Sensitivity checks complete with 0 total errors (max config err= 2.8043e-09) with 0 suppressions real 0m5.810s user 0m6.360s sys 0m1.080s ++++ set +x data/basic/designE3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 95 / 180 ) data/basic/designE4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.091 sec Sensitivity checks complete with 0 total errors (max config err= 9.7011e-07) with 0 suppressions real 0m12.553s user 0m14.624s sys 0m1.024s ++++ set +x data/basic/designE4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 96 / 180 ) data/basic/designE5.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.3978e-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= 2.0317e-11) 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= 2.1996e-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= 9.7790e-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= 6.9889e-11) d(Node)/d(dy) check complete with 0 total errors (errmax= 6.9889e-11) ********************************************************* Starting configuration sensitivity wrt "dz" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=5 Computing finite difference sensitivities for ibody=5 Comparing configuration sensitivities wrt "dz" for ibody=5 d(Face)/d(dz) check complete with 0 total errors (errmax= 4.1133e-11) d(Edge)/d(dz) check complete with 0 total errors (errmax= 4.1133e-11) d(Node)/d(dz) check complete with 0 total errors (errmax= 4.1133e-11) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.144 sec Sensitivity checks complete with 0 total errors (max config err= 8.6433e-07) with 0 suppressions real 0m1.591s user 0m1.528s sys 0m0.816s ++++ set +x data/basic/designE5 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 97 / 180 ) data/basic/designE6.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.005 sec Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions real 0m0.244s user 0m0.220s sys 0m0.084s ++++ set +x data/basic/designE6 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 98 / 180 ) data/basic/designE7.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.020 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.529s user 0m0.432s sys 0m0.296s ++++ set +x data/basic/designE7 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 99 / 180 ) data/basic/designE8.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.016 sec Sensitivity checks complete with 0 total errors (max config err= 1.5216e-10) with 0 suppressions real 0m0.488s user 0m0.424s sys 0m0.240s ++++ set +x data/basic/designE8 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 100 / 180 ) data/basic/designE9.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 0m0.652s user 0m0.460s sys 0m0.348s ++++ set +x data/basic/designE9 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 101 / 180 ) data/basic/designEa.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.013 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.481s user 0m0.416s sys 0m0.212s ++++ set +x data/basic/designEa -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 102 / 180 ) data/basic/designEb.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.025 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.476s user 0m0.376s sys 0m0.232s ++++ set +x data/basic/designEb -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 103 / 180 ) data/basic/designF0bb.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.6569e-07) d(Edge)/d(height) check complete with 0 total errors (errmax= 4.0771e-07) d(Node)/d(height) check complete with 0 total errors (errmax= 2.5447e-26) ********************************************************* Starting configuration sensitivity wrt "height[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "height[3,1]" for ibody=12 d(Face)/d(height) check complete with 0 total errors (errmax= 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= 6.0161e-10) d(Edge)/d(ybase) check complete with 0 total errors (errmax= 1.9329e-10) d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "zbase" for ibody=12 d(Face)/d(zbase) check complete with 0 total errors (errmax= 6.2130e-10) d(Edge)/d(zbase) check complete with 0 total errors (errmax= 1.9511e-10) d(Node)/d(zbase) check complete with 0 total errors (errmax= 8.2267e-11) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.344 sec Sensitivity checks complete with 1120 total errors (max config err= 6.8678e-04) with 0 suppressions real 0m6.599s user 0m6.660s sys 0m0.000s ++++ set +x data/basic/designF0bb -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 104 / 180 ) data/basic/designF1bb.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.5163e-10) d(Edge)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "xloc[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10 d(Face)/d(xloc) check complete with 0 total errors (errmax= 2.7299e-08) d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.5803e-08) d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "xloc[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10 d(Face)/d(xloc) check complete with 0 total errors (errmax= 9.0344e-08) d(Edge)/d(xloc) check complete with 0 total errors (errmax= 5.3419e-08) d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "xloc[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10 d(Face)/d(xloc) check complete with 0 total errors (errmax= 2.4473e-08) d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.3751e-08) d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "xloc[5,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10 d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.5163e-10) d(Edge)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "height[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "height[1,1]" for ibody=10 d(Face)/d(height) check complete with 0 total errors (errmax= 4.5163e-10) d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "height[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "height[2,1]" for ibody=10 d(Face)/d(height) check complete with 0 total errors (errmax= 4.1142e-07) d(Edge)/d(height) check complete with 0 total errors (errmax= 4.0771e-07) d(Node)/d(height) check complete with 0 total errors (errmax= 2.5447e-26) ********************************************************* Starting configuration sensitivity wrt "height[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "height[3,1]" for ibody=10 d(Face)/d(height) check complete with 0 total errors (errmax= 1.2418e-06) d(Edge)/d(height) check complete with 0 total errors (errmax= 4.3222e-10) d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "height[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "height[4,1]" for ibody=10 d(Face)/d(height) check complete with 0 total errors (errmax= 1.3863e-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= 4.5163e-10) d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "width[1,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "width[1,1]" for ibody=10 d(Face)/d(width) check complete with 0 total errors (errmax= 4.5163e-10) d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "width[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "width[2,1]" for ibody=10 iface= 1, ipnt= 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= 4.5163e-10) d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "Rnose" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "Rnose" for ibody=10 d(Face)/d(Rnose) check complete with 0 total errors (errmax= 4.5163e-10) d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "Rtail" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "Rtail" for ibody=10 d(Face)/d(Rtail) check complete with 0 total errors (errmax= 4.5163e-10) d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "xbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "xbase" for ibody=10 d(Face)/d(xbase) check complete with 0 total errors (errmax= 4.5068e-10) d(Edge)/d(xbase) check complete with 0 total errors (errmax= 5.8387e-10) d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "ybase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "ybase" for ibody=10 d(Face)/d(ybase) check complete with 0 total errors (errmax= 4.4639e-10) d(Edge)/d(ybase) check complete with 0 total errors (errmax= 1.9329e-10) d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "zbase" for ibody=10 d(Face)/d(zbase) check complete with 0 total errors (errmax= 3.8131e-10) d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0430e-10) d(Node)/d(zbase) check complete with 0 total errors (errmax= 8.2267e-11) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.459 sec Sensitivity checks complete with 1028 total errors (max config err= 8.6827e-04) with 0 suppressions real 0m2.591s user 0m2.624s sys 0m0.016s ++++ set +x data/basic/designF1bb -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 105 / 180 ) data/basic/designF1rr.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.7919e-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= 4.7145e-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= 1.7415e-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= 9.9857e-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= 1.6509e-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= 1.7415e-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= 1.7415e-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= 297 (Z): anal= 0.57126925, fd= 0.57115135, err= 0.00011790 (at -1.82343346 0.41408124 0.65799149) iface= 1, ipnt= 308 (Z): anal= -0.69124858, fd= -0.69110658, err= -0.00014200 (at -2.13622388 0.40709951 -0.59525276) iface= 1, ipnt= 314 (Z): anal= -0.85478400, fd= -0.85461096, err= -0.00017304 (at -2.79165903 0.38880312 -0.48749859) iface= 1, ipnt= 315 (Z): anal= 0.85478400, fd= 0.85461096, err= 0.00017304 (at -2.79165903 0.38880312 0.48749859) iface= 1, ipnt= 321 (Z): anal= 0.78478251, fd= 0.78462222, err= 0.00016029 (at -2.44065950 0.39896253 0.54042977) iface= 1, ipnt= 323 (Z): anal= -0.75609893, fd= -0.75594417, err= -0.00015476 (at -2.33727824 0.40182876 -0.55820514) iface= 1, ipnt= 330 (Z): anal= -0.87766261, fd= -0.87748707, err= -0.00017554 (at -3.13883810 0.37860814 -0.44734452) iface= 1, ipnt= 333 (Z): anal= 0.73631890, fd= 0.73617862, err= 0.00014028 (at -4.10342580 0.34486969 0.37700692) iface= 1, ipnt= 352 (Z): anal= -0.56156828, fd= -0.56145234, err= -0.00011593 (at -1.79998242 0.41452491 -0.66286997) iface= 1, ipnt= 360 (Z): anal= -0.79579783, fd= -0.79564402, err= -0.00015382 (at -3.85151548 0.35529190 -0.39232598) ...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 131 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= 286 (Z): anal= -0.79825214, fd= -0.79803771, err= -0.00021443 (at -0.90340007 0.41782557 -0.84182619) iface= 1, ipnt= 290 (Z): anal= 0.85705461, fd= 0.85684062, err= 0.00021399 (at -0.52782922 0.40846752 0.89415314) iface= 1, ipnt= 291 (Z): anal= 0.68356531, fd= 0.68337349, err= 0.00019183 (at -1.25557428 0.42026792 0.77645291) iface= 1, ipnt= 293 (Z): anal= -0.72944822, fd= -0.72931934, err= -0.00012889 (at 0.18746782 0.37054053 -0.92479867) iface= 1, ipnt= 297 (Z): anal= 0.43934866, fd= 0.43921979, err= 0.00012886 (at -1.82343346 0.41408124 0.65799149) iface= 1, ipnt= 298 (Z): anal= -0.59245460, fd= -0.59228493, err= -0.00016967 (at -1.47882443 0.41910266 -0.73047288) iface= 1, ipnt= 299 (Z): anal= -0.85437138, fd= -0.85415575, err= -0.00021564 (at -0.57240285 0.40996695 -0.88914762) iface= 1, ipnt= 307 (Z): anal= 0.72944822, fd= 0.72931934, err= 0.00012889 (at 0.18746782 0.37054053 0.92479867) iface= 1, ipnt= 313 (Z): anal= -0.83427835, fd= -0.83409251, err= -0.00018584 (at -0.18746039 0.39351158 -0.91985746) iface= 1, ipnt= 338 (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= 445 (Z): anal= 0.55591335, fd= 0.55581046, err= 0.00010289 (at 2.27367164 0.22441607 0.94862318) iface= 1, ipnt= 448 (Z): anal= 0.55789201, fd= 0.55778325, err= 0.00010877 (at 2.68106639 0.20417273 0.93775604) iface= 1, ipnt= 466 (Z): anal= 0.55986332, fd= 0.55975689, err= 0.00010643 (at 2.46683461 0.21427572 0.94444279) iface= 1, ipnt= 472 (Z): anal= 0.51819611, fd= 0.51808858, err= 0.00010752 (at 3.41285977 0.17807909 0.89883815) iface= 1, ipnt= 476 (Z): anal= -0.55986332, fd= -0.55975689, err= -0.00010643 (at 2.46683461 0.21427572 -0.94444279) iface= 1, ipnt= 490 (Z): anal= 0.55032040, fd= 0.55021068, err= 0.00010972 (at 2.90477164 0.19489832 0.92849693) iface= 1, ipnt= 504 (Z): anal= -0.53775077, fd= -0.53764140, err= -0.00010937 (at 3.13884908 0.18653484 -0.91637996) iface= 1, ipnt= 515 (Z): anal= -0.55154913, fd= -0.55143945, err= -0.00010968 (at 2.87625487 0.19600909 -0.92980452) iface= 1, ipnt= 534 (Z): anal= -0.49925687, fd= -0.49915178, err= -0.00010509 (at 3.63109888 0.17198068 -0.88191257) iface= 1, ipnt= 556 (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= 447 (Z): anal= -0.55938826, fd= -0.55928264, err= -0.00010562 (at 2.41463506 -0.21691990 -0.94574520) iface= 2, ipnt= 448 (Z): anal= 0.55789201, fd= 0.55778325, err= 0.00010877 (at 2.68106639 -0.20417273 0.93775604) iface= 2, ipnt= 450 (Z): anal= -0.55789201, fd= -0.55778325, err= -0.00010877 (at 2.68106639 -0.20417273 -0.93775604) iface= 2, ipnt= 455 (Z): anal= -0.55260919, fd= -0.55250809, err= -0.00010110 (at 2.19829010 -0.22863558 -0.94978229) iface= 2, ipnt= 474 (Z): anal= 0.55986332, fd= 0.55975689, err= 0.00010643 (at 2.46683461 -0.21427572 0.94444279) iface= 2, ipnt= 489 (Z): anal= 0.55032040, fd= 0.55021068, err= 0.00010972 (at 2.90477164 -0.19489832 0.92849693) iface= 2, ipnt= 497 (Z): anal= -0.55094450, fd= -0.55083480, err= -0.00010970 (at 2.89049285 -0.19545192 -0.92915626) iface= 2, ipnt= 501 (Z): anal= -0.53680876, fd= -0.53669945, err= -0.00010930 (at 3.15381063 -0.18604146 -0.91551963) iface= 2, ipnt= 502 (Z): anal= 0.54134100, fd= 0.54123142, err= 0.00010958 (at 3.07936620 -0.18854067 0.91969557) iface= 2, ipnt= 510 (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 119 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= 1.7415e-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= 2.2016e-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= 1.7415e-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= 1.7415e-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 -> 0.598 sec Sensitivity checks complete with 410 total errors (max config err= 6.3184e-04) with 0 suppressions real 0m6.329s user 0m6.528s sys 0m0.004s ++++ set +x data/basic/designF1rr -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 106 / 180 ) data/basic/designF1rs.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.6751e-08) d(Edge)/d(xloc) check complete with 0 total errors (errmax= 4.7065e-08) d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "xloc[2,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12 d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.6820e-08) d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.5588e-08) d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "xloc[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12 d(Face)/d(xloc) check complete with 0 total errors (errmax= 9.9374e-08) d(Edge)/d(xloc) check complete with 0 total errors (errmax= 8.4601e-08) d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "xloc[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12 d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.0259e-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= 3.2071e-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= 1.1469e-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= 5.2875e-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= 9.9803e-07) d(Edge)/d(height) check complete with 0 total errors (errmax= 3.1371e-09) d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "height[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "height[4,1]" for ibody=12 d(Face)/d(height) check complete with 0 total errors (errmax= 1.5834e-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= 1.1469e-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= 1.1469e-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= 330 (Z): anal= -0.75609893, fd= -0.75594417, err= -0.00015476 (at -2.33727824 0.40182876 -0.55820514) iface= 1, ipnt= 331 (Z): anal= 0.84532020, fd= 0.84515437, err= 0.00016583 (at -3.56841958 0.36535267 0.41129937) iface= 1, ipnt= 333 (Z): anal= 0.74074715, fd= 0.74059538, err= 0.00015176 (at -2.28632549 0.40320701 0.56729808) iface= 1, ipnt= 338 (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= 321 (Z): anal= -0.87645072, fd= -0.87627482, err= -0.00017590 (at -3.04984244 -0.38121649 -0.45648416) iface= 2, ipnt= 326 (Z): anal= 0.50262957, fd= 0.50252561, err= 0.00010395 (at -1.66082120 -0.41687350 0.69208640) iface= 2, ipnt= 332 (Z): anal= 0.75609893, fd= 0.75594417, err= 0.00015476 (at -2.33727824 -0.40182876 0.55820514) iface= 2, ipnt= 333 (Z): anal= -0.74074715, fd= -0.74059538, err= -0.00015176 (at -2.28632549 -0.40320701 -0.56729808) iface= 2, ipnt= 339 (Z): anal= 0.87534802, fd= 0.87517215, err= 0.00017587 (at -3.02049026 -0.38207572 0.45966244) iface= 2, ipnt= 350 (Z): anal= 0.83260645, fd= 0.83243725, err= 0.00016920 (at -2.65377995 -0.39284437 0.50685994) iface= 2, ipnt= 353 (Z): anal= -0.84225901, fd= -0.84208810, err= -0.00017091 (at -2.70847939 -0.39124556 -0.49895076) iface= 2, ipnt= 355 (Z): anal= -0.76770152, fd= -0.76755418, err= -0.00014734 (at -3.97765047 -0.35027792 -0.38454435) iface= 2, ipnt= 361 (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= 334 (Z): anal= 0.84816496, fd= 0.84796875, err= 0.00019621 (at -0.27946576 0.39816267 0.91518964) iface= 1, ipnt= 336 (Z): anal= -0.85622096, fd= -0.85601651, err= -0.00020444 (at -0.37049325 0.40232283 -0.90887505) iface= 1, ipnt= 337 (Z): anal= -0.66844843, fd= -0.66834517, err= -0.00010326 (at 0.38060070 0.35876683 -0.93049606) ...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= 319 (Z): anal= -0.61157088, fd= -0.61139639, err= -0.00017449 (at -1.43385114 -0.41948615 -0.73988727) iface= 2, ipnt= 325 (Z): anal= 0.83182750, fd= 0.83160970, err= 0.00021780 (at -0.74947101 -0.41487988 0.86591613) iface= 2, ipnt= 326 (Z): anal= 0.51254892, fd= 0.51240013, err= 0.00014879 (at -1.66082120 -0.41687350 0.69208640) iface= 2, ipnt= 330 (Z): anal= 0.85622096, fd= 0.85601651, err= 0.00020444 (at -0.37049325 -0.40232283 0.90887505) 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= 0.66844843, fd= 0.66834517, err= 0.00010326 (at 0.38060070 -0.35876683 0.93049606) iface= 2, ipnt= 342 (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= 5.5177e-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= 446 (Z): anal= 0.54108966, fd= 0.54098619, err= 0.00010348 (at 2.26201126 0.23870168 0.98637166) iface= 1, ipnt= 447 (Z): anal= -0.53410681, fd= -0.53400588, err= -0.00010092 (at 2.17904582 0.24402927 -0.98836569) iface= 1, ipnt= 464 (Z): anal= -0.55189140, fd= -0.55178321, err= -0.00010820 (at 2.47499483 0.22502430 -0.97717774) iface= 1, ipnt= 470 (Z): anal= 0.55109607, fd= 0.55098595, err= 0.00011012 (at 2.73451201 0.20836425 0.95685869) iface= 1, ipnt= 476 (Z): anal= 0.55319306, fd= 0.55308391, err= 0.00010915 (at 2.54586464 0.22047372 0.97268989) iface= 1, ipnt= 489 (Z): anal= 0.53930061, fd= 0.53919218, err= 0.00010842 (at 2.94609227 0.19479324 0.93166247) iface= 1, ipnt= 490 (Z): anal= -0.54574949, fd= -0.54563995, err= -0.00010954 (at 2.85214632 0.20081731 -0.94388312) iface= 1, ipnt= 527 (Z): anal= -0.52113015, fd= -0.52102562, err= -0.00010453 (at 3.13352910 0.18278450 -0.90203738) iface= 1, ipnt= 528 (Z): anal= 0.52113015, fd= 0.52102562, err= 0.00010453 (at 3.13352910 0.18278450 0.90203738) iface= 1, ipnt= 665 (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= 446 (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= 486 (Z): anal= 0.53930061, fd= 0.53919218, err= 0.00010842 (at 2.94609227 -0.19479324 0.93166247) iface= 2, ipnt= 487 (Z): anal= -0.54574949, fd= -0.54563995, err= -0.00010954 (at 2.85214632 -0.20081731 -0.94388312) iface= 2, ipnt= 530 (Z): anal= 0.52113015, fd= 0.52102562, err= 0.00010453 (at 3.13352910 -0.18278450 0.90203738) iface= 2, ipnt= 538 (Z): anal= -0.52624267, fd= -0.52613698, err= -0.00010569 (at 3.08672661 -0.18578173 -0.91008972) iface= 2, ipnt= 676 (Z): anal= -0.47737781, fd= -0.47753272, err= 0.00015491 (at 1.26289716 -0.15260271 -1.02740573) ...too many errors to list d(Face)/d(width) check complete with 186 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= 1.1469e-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= 7.1027e-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= 1.1469e-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= 1.6121e-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= 1.1252e-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= 1.1428e-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 -> 0.593 sec Sensitivity checks complete with 484 total errors (max config err= 5.8615e-04) with 0 suppressions real 0m6.284s user 0m6.488s sys 0m0.008s ++++ set +x data/basic/designF1rs -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 107 / 180 ) data/basic/designF1sr.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 7.8153e-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= 3.0429e-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= 4.0914e-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= 1.7415e-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= 1.1037e-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= 1.5379e-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= 1.7415e-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= 1.7415e-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= 305 (Z): anal= 0.53050894, fd= 0.53039610, err= 0.00011284 (at -1.88219500 0.43303856 0.69116831) iface= 1, ipnt= 310 (Z): anal= -0.54906580, fd= -0.54894920, err= -0.00011660 (at -1.92974036 0.43228911 -0.68157117) 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= 338 (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= 372 (Z): anal= 0.84045390, fd= 0.84029484, err= 0.00015906 (at -3.55321432 0.33046095 0.36226758) iface= 1, ipnt= 373 (Z): anal= -0.84625724, fd= -0.84609606, err= -0.00016118 (at -3.50670678 0.33548440 -0.37014324) iface= 1, ipnt= 438 (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= 379 (Z): anal= -0.84045390, fd= -0.84029484, err= -0.00015906 (at -3.55321432 -0.33046095 -0.36226758) iface= 2, ipnt= 381 (Z): anal= 0.84625724, fd= 0.84609606, err= 0.00016118 (at -3.50670678 -0.33548440 0.37014324) iface= 2, ipnt= 438 (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= 305 (Z): anal= 0.45789890, fd= 0.45776558, err= 0.00013332 (at -1.88219500 0.43303856 0.69116831) iface= 1, ipnt= 310 (Z): anal= -0.43646029, fd= -0.43633289, err= -0.00012740 (at -1.92974036 0.43228911 -0.68157117) iface= 1, ipnt= 311 (Z): anal= -0.71793583, fd= -0.71773655, err= -0.00019928 (at -1.23903921 0.43248897 -0.80985050) iface= 1, ipnt= 312 (Z): anal= 0.71793583, fd= 0.71773655, err= 0.00019928 (at -1.23903921 0.43248897 0.80985050) 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= -0.72944822, fd= -0.72931934, err= -0.00012889 (at 0.18746782 0.37054053 -0.92479867) iface= 1, ipnt= 322 (Z): anal= -0.85050145, fd= -0.85030304, err= -0.00019841 (at -0.30915795 0.40042117 -0.91528069) iface= 1, ipnt= 326 (Z): anal= -0.61164895, fd= -0.61147490, err= -0.00017405 (at -1.52512461 0.43511915 -0.76013243) iface= 1, ipnt= 331 (Z): anal= 0.81422557, fd= 0.81405232, err= 0.00017326 (at -0.09504706 0.38847423 0.92293695) ...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 148 total errors (errmax= 8.4567e-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= 445 (Z): anal= 0.55492560, fd= 0.55482328, err= 0.00010232 (at 2.24843062 0.22581273 0.94904059) iface= 1, ipnt= 452 (Z): anal= -0.55260919, fd= -0.55250809, err= -0.00010110 (at 2.19829010 0.22863558 -0.94978229) iface= 1, ipnt= 460 (Z): anal= -0.55995618, fd= -0.55984929, err= -0.00010689 (at 2.49972597 0.21264632 -0.94355627) iface= 1, ipnt= 461 (Z): anal= 0.55994996, fd= 0.55984316, err= 0.00010680 (at 2.49313103 0.21297075 0.94373810) iface= 1, ipnt= 465 (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= 473 (Z): anal= 0.54967695, fd= 0.54956721, err= 0.00010974 (at 2.91909150 0.19434833 0.92782647) iface= 1, ipnt= 488 (Z): anal= -0.54176942, fd= -0.54165983, err= -0.00010960 (at 3.07197329 0.18879516 -0.92009612) iface= 1, ipnt= 491 (Z): anal= -0.53026480, fd= -0.53015602, err= -0.00010878 (at 3.25187499 0.18290754 -0.90960996) iface= 1, ipnt= 494 (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= 445 (Z): anal= -0.55492560, fd= -0.55482328, err= -0.00010232 (at 2.24843062 -0.22581273 -0.94904059) iface= 2, ipnt= 453 (Z): anal= 0.55260919, fd= 0.55250809, err= 0.00010110 (at 2.19829010 -0.22863558 0.94978229) iface= 2, ipnt= 458 (Z): anal= 0.55995618, fd= 0.55984929, err= 0.00010689 (at 2.49972597 -0.21264632 0.94355627) iface= 2, ipnt= 461 (Z): anal= -0.55994996, fd= -0.55984316, err= -0.00010680 (at 2.49313103 -0.21297075 -0.94373810) iface= 2, ipnt= 465 (Z): anal= -0.55723653, fd= -0.55712757, err= -0.00010896 (at 2.70849015 -0.20296618 -0.93674504) iface= 2, ipnt= 466 (Z): anal= 0.55377046, fd= 0.55366094, err= 0.00010952 (at 2.81970601 -0.19827315 0.93228823) iface= 2, ipnt= 471 (Z): anal= -0.54967695, fd= -0.54956721, err= -0.00010974 (at 2.91909150 -0.19434833 -0.92782647) iface= 2, ipnt= 484 (Z): anal= 0.54176942, fd= 0.54165983, err= 0.00010960 (at 3.07197329 -0.18879516 0.92009612) iface= 2, ipnt= 486 (Z): anal= 0.52359207, fd= 0.52348395, err= 0.00010812 (at 3.34351998 -0.18011652 0.90364662) iface= 2, ipnt= 494 (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 126 total errors (errmax= 4.9788e-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= 1.7415e-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= 1.7415e-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= 2.2016e-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= 1.7415e-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= 1.7415e-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 -> 0.634 sec Sensitivity checks complete with 384 total errors (max config err= 8.4567e-04) with 0 suppressions real 0m6.661s user 0m6.884s sys 0m0.020s ++++ set +x data/basic/designF1sr -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 108 / 180 ) data/basic/designF1ss.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 7.4899e-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= 3.9673e-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= 8.4192e-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= 8.4192e-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= 8.4192e-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 160 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 185 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= 8.4192e-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= 8.4192e-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= 8.4192e-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= 9.6368e-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= 8.4471e-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 -> 0.609 sec Sensitivity checks complete with 454 total errors (max config err= 8.9304e-04) with 0 suppressions real 0m6.195s user 0m6.380s sys 0m0.012s ++++ set +x data/basic/designF1ss -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 109 / 180 ) data/basic/designF2bb.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.2381e-07) d(Edge)/d(height) check complete with 0 total errors (errmax= 4.0771e-07) d(Node)/d(height) check complete with 0 total errors (errmax= 2.5447e-26) ********************************************************* Starting configuration sensitivity wrt "height[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "height[3,1]" for ibody=8 d(Face)/d(height) check complete with 0 total errors (errmax= 8.0643e-07) d(Edge)/d(height) check complete with 0 total errors (errmax= 4.4945e-10) d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "height[4,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "height[4,1]" for ibody=8 d(Face)/d(height) check complete with 0 total errors (errmax= 1.3867e-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= 4.4736e-10) d(Edge)/d(xbase) check complete with 0 total errors (errmax= 5.8387e-10) d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "ybase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "ybase" for ibody=8 d(Face)/d(ybase) check complete with 0 total errors (errmax= 4.4980e-10) d(Edge)/d(ybase) check complete with 0 total errors (errmax= 1.9329e-10) d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "zbase" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "zbase" for ibody=8 d(Face)/d(zbase) check complete with 0 total errors (errmax= 5.2518e-10) d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.6182e-10) d(Node)/d(zbase) check complete with 0 total errors (errmax= 8.2267e-11) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.337 sec Sensitivity checks complete with 1088 total errors (max config err= 6.8678e-04) with 0 suppressions real 0m2.195s user 0m2.236s sys 0m0.004s ++++ set +x data/basic/designF2bb -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 110 / 180 ) data/basic/designF2rr.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.9502e-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= 5.1256e-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= 4.4132e-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= 8.6562e-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= 1.4749e-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 137 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 117 total errors (errmax= 6.3370e-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= -0.00010973 (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 152 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= 2.6161e-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 -> 0.446 sec Sensitivity checks complete with 406 total errors (max config err= 6.3370e-04) with 0 suppressions real 0m5.712s user 0m5.836s sys 0m0.000s ++++ set +x data/basic/designF2rr -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 111 / 180 ) data/basic/designF2rs.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.8882e-08) d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.1688e-08) d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "xloc[3,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=10 Computing finite difference sensitivities for ibody=10 Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10 d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.7809e-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= 4.1158e-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= 3.2357e-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= 8.9231e-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 166 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= 7.1026e-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= 1.3181e-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 -> 0.462 sec Sensitivity checks complete with 458 total errors (max config err= 6.0513e-04) with 0 suppressions real 0m5.894s user 0m6.040s sys 0m0.004s ++++ set +x data/basic/designF2rs -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 112 / 180 ) data/basic/designF2sr.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.6486e-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= 4.3850e-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= 1.4567e-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= 4.1749e-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= 9.4100e-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= 1.5758e-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= 1.4567e-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= 1.4567e-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= 314 (Z): anal= -0.56617555, fd= -0.56605416, err= -0.00012139 (at -1.68975079 0.43158808 -0.68434686) iface= 1, ipnt= 317 (Z): anal= 0.69167091, fd= 0.69152446, err= 0.00014645 (at -2.07734580 0.42646297 0.61887127) iface= 1, ipnt= 325 (Z): anal= -0.83576071, fd= -0.83558926, err= -0.00017145 (at -2.72970379 0.40061178 -0.50736975) iface= 1, ipnt= 326 (Z): anal= 0.80464469, fd= 0.80447776, err= 0.00016694 (at -2.53710166 0.41068352 0.54017751) iface= 1, ipnt= 331 (Z): anal= 0.85990439, fd= 0.85973211, err= 0.00017228 (at -3.04048979 0.37958510 0.45521266) iface= 1, ipnt= 338 (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= 355 (Z): anal= 0.85007602, fd= 0.84991074, err= 0.00016529 (at -3.32442161 0.35501087 0.40877561) ...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= 330 (Z): anal= -0.85990439, fd= -0.85973211, err= -0.00017228 (at -3.04048979 -0.37958510 -0.45521266) iface= 2, ipnt= 332 (Z): anal= 0.84041085, fd= 0.84024937, err= 0.00016148 (at -3.41847588 -0.34581771 0.39364239) iface= 2, ipnt= 340 (Z): anal= 0.85998398, fd= 0.85981324, err= 0.00017074 (at -3.13544420 -0.37192110 0.43955149) iface= 2, ipnt= 349 (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 120 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= 315 (Z): anal= -0.72259527, fd= -0.72245019, err= -0.00014508 (at -0.71027401 0.41599547 -0.83672868) iface= 1, ipnt= 316 (Z): anal= 0.72259527, fd= 0.72245019, err= 0.00014508 (at -0.71027401 0.41599547 0.83672868) iface= 1, ipnt= 330 (Z): anal= -0.78589033, fd= -0.78573232, err= -0.00015801 (at -0.02231498 0.38397599 -0.92157746) iface= 1, ipnt= 343 (Z): anal= 0.78860963, fd= 0.78845111, err= 0.00015851 (at -0.13456693 0.39027406 0.90956158) iface= 1, ipnt= 348 (Z): anal= 0.60878677, fd= 0.60866411, err= 0.00012266 (at 0.78599396 0.32895485 0.98075895) iface= 1, ipnt= 353 (Z): anal= 0.71885146, fd= 0.71870677, err= 0.00014469 (at 0.41732750 0.35574922 0.95999209) iface= 1, ipnt= 357 (Z): anal= -0.77712170, fd= -0.77696557, err= -0.00015613 (at -0.36215714 0.40178407 -0.88282595) iface= 1, ipnt= 360 (Z): anal= -0.49799621, fd= -0.49789578, err= -0.00010043 (at 1.09211163 0.30581472 -0.98994517) ...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= 341 (Z): anal= 0.49799621, fd= 0.49789578, err= 0.00010043 (at 1.09211163 -0.30581472 0.98994517) iface= 2, ipnt= 344 (Z): anal= 0.78589033, fd= 0.78573232, err= 0.00015801 (at -0.02231498 -0.38397599 0.92157746) iface= 2, ipnt= 348 (Z): anal= -0.60878677, fd= -0.60866411, err= -0.00012266 (at 0.78599396 -0.32895485 -0.98075895) iface= 2, ipnt= 350 (Z): anal= 0.77229056, fd= 0.77213542, err= 0.00015514 (at -0.40813330 -0.40390001 0.87707398) iface= 2, ipnt= 353 (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 123 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= 367 (Z): anal= -0.50317953, fd= -0.50307952, err= -0.00010001 (at 1.84946582 0.25128324 -0.98458724) iface= 1, ipnt= 431 (Z): anal= 0.50639576, fd= 0.50629510, err= 0.00010065 (at 1.87364150 0.24969439 0.98385377) iface= 1, ipnt= 436 (Z): anal= -0.54097692, fd= -0.54086922, err= -0.00010770 (at 2.24810523 0.22676701 -0.96897182) iface= 1, ipnt= 442 (Z): anal= -0.52569276, fd= -0.52558822, err= -0.00010454 (at 2.04551021 0.23876630 -0.97780841) iface= 1, ipnt= 446 (Z): anal= 0.53225651, fd= 0.53215063, err= 0.00010588 (at 2.12067110 0.23419950 0.97473371) iface= 1, ipnt= 452 (Z): anal= -0.54939590, fd= -0.54928631, err= -0.00010958 (at 2.45808094 0.21540458 -0.95811704) iface= 1, ipnt= 455 (Z): anal= -0.55130283, fd= -0.55119252, err= -0.00011030 (at 2.70415936 0.20353152 -0.94354229) iface= 1, ipnt= 478 (Z): anal= 0.54770308, fd= 0.54759315, err= 0.00010993 (at 2.90349464 0.19506713 0.93051110) iface= 1, ipnt= 485 (Z): anal= -0.54432292, fd= -0.54421346, err= -0.00010946 (at 3.00596153 0.19111547 -0.92344848) iface= 1, ipnt= 490 (Z): anal= 0.52991847, fd= 0.52981124, err= 0.00010723 (at 3.29300498 0.18131516 0.90228919) ...too many errors to list iface= 2, ipnt= 377 (Z): anal= 0.50317953, fd= 0.50307952, err= 0.00010001 (at 1.84946582 -0.25128324 0.98458724) iface= 2, ipnt= 421 (Z): anal= -0.50639576, fd= -0.50629510, err= -0.00010065 (at 1.87364150 -0.24969439 -0.98385377) iface= 2, ipnt= 432 (Z): anal= -0.54239515, fd= -0.54228714, err= -0.00010801 (at 2.27393154 -0.22530943 -0.96772454) iface= 2, ipnt= 433 (Z): anal= 0.52569276, fd= 0.52558822, err= 0.00010454 (at 2.04551021 -0.23876630 0.97780841) iface= 2, ipnt= 443 (Z): anal= -0.55130283, fd= -0.55119252, err= -0.00011030 (at 2.70415936 -0.20353152 -0.94354229) iface= 2, ipnt= 475 (Z): anal= -0.52991847, fd= -0.52981124, err= -0.00010723 (at 3.29300498 -0.18131516 -0.90228919) iface= 2, ipnt= 476 (Z): anal= 0.52991847, fd= 0.52981124, err= 0.00010723 (at 3.29300498 -0.18131516 0.90228919) iface= 2, ipnt= 477 (Z): anal= 0.54770308, fd= 0.54759315, err= 0.00010993 (at 2.90349464 -0.19506713 0.93051110) iface= 2, ipnt= 485 (Z): anal= -0.54810091, fd= -0.54799092, err= -0.00010998 (at 2.88901237 -0.19564743 -0.93149045) iface= 2, ipnt= 511 (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 144 total errors (errmax= 4.6433e-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= 1.4567e-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= 1.4567e-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= 2.6192e-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= 1.7592e-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= 1.4572e-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= 1.4570e-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 -> 0.458 sec Sensitivity checks complete with 387 total errors (max config err= 6.4555e-04) with 0 suppressions real 0m6.291s user 0m6.532s sys 0m0.004s ++++ set +x data/basic/designF2sr -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 113 / 180 ) data/basic/designF2ss.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.2228e-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= 3.2926e-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= 1.1138e-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= 4.1927e-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= 1.1138e-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= 1.1138e-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= 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 142 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 157 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= 1.1138e-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= 1.1138e-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= 1.1138e-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= 9.2089e-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= 1.0434e-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= 1.1139e-09) 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 -> 0.485 sec Sensitivity checks complete with 424 total errors (max config err= 6.0266e-04) with 0 suppressions real 0m6.241s user 0m6.512s sys 0m0.008s ++++ set +x data/basic/designF2ss -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 114 / 180 ) data/basic/designG0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.0049e-09) d(Edge)/d(area) check complete with 0 total errors (errmax= 3.8931e-09) d(Node)/d(area) check complete with 0 total errors (errmax= 4.2902e-09) ********************************************************* Starting configuration sensitivity wrt "aspect" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "aspect" for ibody=8 d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.5586e-08) d(Edge)/d(aspect) check complete with 0 total errors (errmax= 4.2860e-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= 7.3751e-10) d(Edge)/d(twist) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(twist) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "lesweep" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "lesweep" for ibody=8 d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.7888e-09) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 1.7734e-09) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 1.6058e-09) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "dihedral" for ibody=8 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 7.5806e-10) d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 6.6641e-10) d(Node)/d(dihedral) check complete with 0 total errors (errmax= 3.2003e-11) ********************************************************* Starting configuration sensitivity wrt "thick_r" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "thick_r" for ibody=8 iface= 1, ipnt= 279 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 2.67610927 1.89206307 0.55032591) iface= 1, ipnt= 310 (X): anal= -0.09337563, fd= -0.09307219, err= -0.00030344 (at 4.06325965 7.04344645 0.15393468) iface= 1, ipnt= 310 (Y): anal= 0.05367312, fd= 0.05349870, err= 0.00017442 (at 4.06325965 7.04344645 0.15393468) iface= 1, ipnt= 312 (X): anal= -0.00704609, fd= -0.00716330, err= 0.00011721 (at 4.06415392 7.04344645 0.13045255) iface= 1, ipnt= 313 (X): anal= -0.02685060, fd= -0.02700398, err= 0.00015338 (at 0.01225192 0.02762136 0.01576762) iface= 1, ipnt= 368 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.25818203 2.90024266 0.56792375) iface= 1, ipnt= 373 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.90005678 4.01200234 0.58732959) iface= 1, ipnt= 374 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.00302685 2.45830092 0.56020963) iface= 1, ipnt= 410 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.46549561 3.25932032 0.57419147) iface= 1, ipnt= 418 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.66682900 3.60803997 0.58027840) ...too many errors to list iface= 2, ipnt= 225 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 1.88456453 0.63529125 0.09427194) iface= 2, ipnt= 302 (X): anal= -0.06320723, fd= -0.06300799, err= -0.00019924 (at 0.03356819 0.02762136 -0.02322222) iface= 2, ipnt= 302 (Y): anal= 0.03781182, fd= 0.03769263, err= 0.00011919 (at 0.03356819 0.02762136 -0.02322222) iface= 2, ipnt= 302 (Z): anal= -0.07557187, fd= -0.07533366, err= -0.00023821 (at 0.03356819 0.02762136 -0.02322222) iface= 2, ipnt= 375 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 5.15727163 6.20099501 0.19365445) iface= 2, ipnt= 393 (Z): anal= -1.79183651, fd= -1.79170153, err= -0.00013498 (at 2.30759399 1.23950847 0.10757182) iface= 2, ipnt= 404 (Z): anal= -1.78617755, fd= -1.78607447, err= -0.00010308 (at 5.37382918 6.52468281 0.20033284) iface= 2, ipnt= 417 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 2.59525447 1.76345112 0.11619684) iface= 2, ipnt= 420 (Z): anal= -1.78617755, fd= -1.78607447, err= -0.00010308 (at 4.97066406 5.82638034 0.18814392) iface= 2, ipnt= 432 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 4.39126485 4.97702356 0.17005716) ...too many errors to list iface= 5, ipnt= 304 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.22230083 -2.83809460 0.56683895) iface= 5, ipnt= 308 (X): anal= -0.02685060, fd= -0.02700398, err= 0.00015338 (at 0.01225192 -0.02762136 0.01576762) iface= 5, ipnt= 356 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.70470360 -3.67364070 0.58142346) iface= 5, ipnt= 361 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.72931112 -5.44831299 0.61240048) iface= 5, ipnt= 379 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.91201718 -4.03271836 0.58769119) iface= 5, ipnt= 387 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.49807674 -5.04780329 0.60540956) iface= 5, ipnt= 390 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.10537697 -4.36762733 0.59353704) iface= 5, ipnt= 391 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.46948241 -3.26622566 0.57431201) iface= 5, ipnt= 404 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.29873675 -4.70253631 0.59938290) iface= 5, ipnt= 425 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.96054550 -5.84882269 0.61939140) ...too many errors to list iface= 6, ipnt= 419 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 2.59525447 -1.76345112 0.11619684) iface= 6, ipnt= 469 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 2.79205981 -2.20711919 0.12170830) iface= 6, ipnt= 484 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 1.97626092 -0.79411406 0.09704421) iface= 6, ipnt= 508 (Z): anal= -1.78617755, fd= -1.78607447, err= -0.00010308 (at 5.37382918 -6.52468281 0.20033284) iface= 6, ipnt= 518 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 4.50698723 -5.07466938 0.17399437) iface= 6, ipnt= 547 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 2.99289485 -2.55497567 0.12778016) iface= 6, ipnt= 611 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 4.03195452 -4.35467982 0.15919411) iface= 6, ipnt= 620 (X): anal= -0.05453520, fd= -0.05437959, err= -0.00015562 (at 4.06983875 -7.02263014 0.10088391) iface= 6, ipnt= 620 (Z): anal= -0.05979806, fd= -0.05962742, err= -0.00017063 (at 4.06983875 -7.02263014 0.10088391) iface= 6, ipnt= 643 (X): anal= -0.06841296, fd= -0.06820820, err= -0.00020476 (at 4.08425150 -7.04104438 0.09799028) ...too many errors to list d(Face)/d(thick_r) check complete with 2302 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= 253 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.67240209 2.32019413 0.56219404) iface= 1, ipnt= 254 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.57341882 3.88080089 0.58943453) iface= 1, ipnt= 256 (Z): anal= 3.76178221, fd= 3.76116123, err= 0.00062098 (at 1.77726466 0.55242717 0.53149593) iface= 1, ipnt= 258 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 4.34685796 5.22043678 0.61281797) iface= 1, ipnt= 261 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.96412519 4.55752418 0.60124678) iface= 1, ipnt= 264 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.27372211 1.62966016 0.55014073) iface= 1, ipnt= 269 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 5.07245551 6.47720860 0.63475500) iface= 1, ipnt= 271 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.15081805 3.14883488 0.57665802) iface= 1, ipnt= 275 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 1.97072534 1.10485435 0.54098021) iface= 1, ipnt= 279 (Z): anal= 3.75043366, fd= 3.75076301, err= -0.00032935 (at 2.67610927 1.89206307 0.55032591) ...too many errors to list iface= 2, ipnt= 225 (Z): anal= 3.76514527, fd= 3.76484024, err= 0.00030503 (at 1.88456453 0.63529125 0.09427194) iface= 2, ipnt= 228 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.02575888 2.81737858 0.12659951) iface= 2, ipnt= 244 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 4.68426756 5.68999988 0.17674130) iface= 2, ipnt= 256 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.35267646 3.38361643 0.13648323) iface= 2, ipnt= 274 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.59119771 2.06469656 0.11346139) iface= 2, ipnt= 278 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.71148843 4.00509700 0.14733121) iface= 2, ipnt= 280 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.33205573 1.61584948 0.10562674) iface= 2, ipnt= 287 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 4.43309918 5.25496348 0.16914771) iface= 2, ipnt= 292 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.99056441 4.48847078 0.15576853) iface= 2, ipnt= 325 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.53208245 3.69435672 0.14190722) ...too many errors to list iface= 5, ipnt= 253 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 4.40267316 -5.31711154 0.61450543) iface= 5, ipnt= 257 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.98804599 -4.59895621 0.60196998) iface= 5, ipnt= 259 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.59733962 -3.92223293 0.59015773) iface= 5, ipnt= 265 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 5.08042911 -6.49101928 0.63499607) iface= 5, ipnt= 266 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 1.75543815 -0.73196600 0.53447142) iface= 5, ipnt= 267 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.15879165 -3.16264556 0.57689909) iface= 5, ipnt= 273 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.85579487 -2.63783975 0.56773857) iface= 5, ipnt= 278 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 4.67377554 -5.78667464 0.62270168) iface= 5, ipnt= 279 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.28966931 -1.65728152 0.55062286) iface= 5, ipnt= 284 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.54482450 -2.09922326 0.55833698) ...too many errors to list iface= 6, ipnt= 228 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.02575888 -2.81737858 0.12659951) iface= 6, ipnt= 235 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 1.67024698 -0.46956310 0.08561824) iface= 6, ipnt= 237 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 4.68426756 -5.68999988 0.17674130) iface= 6, ipnt= 244 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 5.14673633 -6.49101928 0.19072314) iface= 6, ipnt= 252 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.59119771 -2.06469656 0.11346139) iface= 6, ipnt= 257 (Z): anal= 3.75623407, fd= 3.75572550, err= 0.00050857 (at 2.06444072 -1.04961163 0.09891682) iface= 6, ipnt= 261 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.35267646 -3.38361643 0.13648323) iface= 6, ipnt= 275 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.71148843 -4.00509700 0.14733121) iface= 6, ipnt= 283 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.33205573 -1.61584948 0.10562674) iface= 6, ipnt= 284 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 4.24970639 -4.93731786 0.16360318) ...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= 7.3751e-10) d(Edge)/d(thick_t) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(thick_t) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "camber_t" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "camber_t" for ibody=8 d(Face)/d(camber_t) check complete with 0 total errors (errmax= 7.3751e-10) d(Edge)/d(camber_t) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(camber_t) check complete with 0 total errors (errmax= 0.0000e+00) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.059 sec Sensitivity checks complete with 2480 total errors (max config err= 7.6824e-04) with 0 suppressions real 0m1.281s user 0m1.776s sys 0m0.004s ++++ set +x data/basic/designG0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 115 / 180 ) data/basic/designG1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.1185e-09) ********************************************************* Starting configuration sensitivity wrt "aspect" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "aspect" for ibody=12 d(Face)/d(aspect) check complete with 0 total errors (errmax= 8.1879e-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= 3.8188e-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= 3.1632e-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= 2.0805e-09) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.8561e-09) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "dihedral" for ibody=12 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.2393e-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 12578 total errors (errmax= 8.8534e-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 10740 total errors (errmax= 4.2443e-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 12755 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= 4.9056e-10) ********************************************************* Starting configuration sensitivity wrt "camber_t" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "camber_t" for ibody=12 iface= 1, ipnt= 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= 1.66891636, 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 12429 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 -> 0.958 sec Sensitivity checks complete with 48531 total errors (max config err= 9.5213e-02) with 0 suppressions real 0m4.750s user 0m5.416s sys 0m0.004s ++++ set +x data/basic/designG1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 116 / 180 ) data/basic/designG2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.1185e-09) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "area" for ibody=19 d(Face)/d(area) check complete with 0 total errors (errmax= 1.0523e-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= 2.6870e-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= 3.8188e-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= 3.1632e-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= 3.8752e-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= 1.0048e-09) ********************************************************* Starting configuration sensitivity wrt "lesweep" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=17 Computing finite difference sensitivities for ibody=17 Comparing configuration sensitivities wrt "lesweep" for ibody=17 d(Face)/d(lesweep) check complete with 0 total errors (errmax= 2.0805e-09) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.8561e-09) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "lesweep" for ibody=19 d(Face)/d(lesweep) check complete with 0 total errors (errmax= 3.7418e-09) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 3.4593e-09) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=17 Computing finite difference sensitivities for ibody=17 Comparing configuration sensitivities wrt "dihedral" for ibody=17 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.2393e-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= 2.6061e-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 12578 total errors (errmax= 8.8534e-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= 0.00480246 (at 5.54155443 0.33145630 0.31076186) iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, 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= 0.00480246 (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 12519 total errors (errmax= 8.8556e-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 10740 total errors (errmax= 4.2443e-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 10733 total errors (errmax= 4.2871e-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 12755 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= 4.9056e-10) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "thick_t" for ibody=19 iface= 1, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291636, 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= -0.01291636, 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= -0.79670404, 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 12697 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= 0.00010795, err= -0.00010795 (at 5.00651844 0.00000000 0.06077083) iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= 0.00022683, err= -0.00022683 (at 4.99670841 0.00000000 0.03099117) iedge= 2, ipnt= 19 (X): anal= 0.00000000, fd= 0.00048995, err= -0.00048995 (at 4.99634131 0.00000000 0.01526638) iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00030852, err= -0.00030852 (at 5.00734803 -0.00000000 -0.01292202) iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00023241, err= -0.00023241 (at 5.00734803 -0.00000000 -0.01292202) iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= 0.00013349, err= -0.00013349 (at 5.01761478 -0.00000000 -0.02371210) iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= 0.00015827, err= -0.00015827 (at 5.01761478 -0.00000000 -0.02371210) iedge= 5, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00011653, err= 0.00011653 (at 5.10074139 -0.00000000 -0.05298982) iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00014201, err= 0.00014201 (at 6.39914526 0.00000000 0.07740409) d(Edge)/d(thick_t) check complete with 10 total errors (errmax= 4.8995e-04) d(Node)/d(thick_t) check complete with 0 total errors (errmax= 3.9762e-10) ********************************************************* Starting configuration sensitivity wrt "camber_t" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=17 Computing finite difference sensitivities for ibody=17 Comparing configuration sensitivities wrt "camber_t" for ibody=17 iface= 1, ipnt= 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= 1.66891636, 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 12429 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= 1.66891636, 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 12397 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= 1.2305e-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= 2.7481e-09) d(Edge)/d(dxwing) check complete with 0 total errors (errmax= 2.3148e-09) d(Node)/d(dxwing) check complete with 0 total errors (errmax= 1.0280e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 1.967 sec Sensitivity checks complete with 96906 total errors (max config err= 9.5213e-02) with 0 suppressions real 0m11.458s user 0m12.580s sys 0m0.008s ++++ set +x data/basic/designG2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 117 / 180 ) data/basic/designG3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.1185e-09) ********************************************************* Starting configuration sensitivity wrt "aspect" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "aspect" for ibody=12 d(Face)/d(aspect) check complete with 0 total errors (errmax= 8.1879e-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= 3.8188e-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= 3.1632e-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= 2.0805e-09) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.8561e-09) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "dihedral" for ibody=12 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.2393e-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 12578 total errors (errmax= 8.8534e-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 10740 total errors (errmax= 4.2443e-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 12755 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= 4.9056e-10) ********************************************************* Starting configuration sensitivity wrt "camber_t" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "camber_t" for ibody=12 iface= 1, ipnt= 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= 1.66891636, 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 12429 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 -> 1.041 sec Sensitivity checks complete with 48531 total errors (max config err= 9.5213e-02) with 0 suppressions real 0m4.822s user 0m5.384s sys 0m0.020s ++++ set +x data/basic/designG3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 118 / 180 ) data/basic/designG4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.1185e-09) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "area" for ibody=19 d(Face)/d(area) check complete with 0 total errors (errmax= 1.0523e-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= 2.6870e-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= 3.8188e-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= 3.1632e-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= 3.8752e-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= 1.0048e-09) ********************************************************* Starting configuration sensitivity wrt "lesweep" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=17 Computing finite difference sensitivities for ibody=17 Comparing configuration sensitivities wrt "lesweep" for ibody=17 d(Face)/d(lesweep) check complete with 0 total errors (errmax= 2.0805e-09) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.8561e-09) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "lesweep" for ibody=19 d(Face)/d(lesweep) check complete with 0 total errors (errmax= 3.7418e-09) d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 3.4593e-09) d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09) ********************************************************* Starting configuration sensitivity wrt "dihedral" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=17 Computing finite difference sensitivities for ibody=17 Comparing configuration sensitivities wrt "dihedral" for ibody=17 d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.2393e-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= 2.6061e-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 12578 total errors (errmax= 8.8534e-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= 0.00480246 (at 5.54155443 0.33145630 0.31076186) iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, 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= 0.00480246 (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 12519 total errors (errmax= 8.8556e-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 10740 total errors (errmax= 4.2443e-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 10733 total errors (errmax= 4.2871e-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 12755 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= 4.9056e-10) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "thick_t" for ibody=19 iface= 1, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291636, 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= -0.01291636, 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= -0.79670404, 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 12697 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= 0.00010795, err= -0.00010795 (at 5.00651844 0.00000000 0.06077083) iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= 0.00022683, err= -0.00022683 (at 4.99670841 0.00000000 0.03099117) iedge= 2, ipnt= 19 (X): anal= 0.00000000, fd= 0.00048995, err= -0.00048995 (at 4.99634131 0.00000000 0.01526638) iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00030852, err= -0.00030852 (at 5.00734803 -0.00000000 -0.01292202) iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00023241, err= -0.00023241 (at 5.00734803 -0.00000000 -0.01292202) iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= 0.00013349, err= -0.00013349 (at 5.01761478 -0.00000000 -0.02371210) iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= 0.00015827, err= -0.00015827 (at 5.01761478 -0.00000000 -0.02371210) iedge= 5, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00011653, err= 0.00011653 (at 5.10074139 -0.00000000 -0.05298982) iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00014201, err= 0.00014201 (at 6.39914526 0.00000000 0.07740409) d(Edge)/d(thick_t) check complete with 10 total errors (errmax= 4.8995e-04) d(Node)/d(thick_t) check complete with 0 total errors (errmax= 3.9762e-10) ********************************************************* Starting configuration sensitivity wrt "camber_t" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=17 Computing finite difference sensitivities for ibody=17 Comparing configuration sensitivities wrt "camber_t" for ibody=17 iface= 1, ipnt= 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= 1.66891636, 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 12429 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= 1.66891636, 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 12397 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= 1.2305e-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= 2.7481e-09) d(Edge)/d(dxwing) check complete with 0 total errors (errmax= 2.3148e-09) d(Node)/d(dxwing) check complete with 0 total errors (errmax= 1.0280e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 1.843 sec Sensitivity checks complete with 96906 total errors (max config err= 9.5213e-02) with 0 suppressions real 0m11.341s user 0m12.552s sys 0m0.004s ++++ set +x data/basic/designG4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 119 / 180 ) data/basic/designG5.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 0.07382668, err= -0.07382668 (at 5.90613412 7.07864085 -0.36499841) inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.08848301, err= -0.08848301 (at 5.90613412 7.07864085 -0.36499841) inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 5.90613412 7.07864085 -0.36499841) inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382668, err= -0.07382668 (at 5.90613412 -7.07864085 -0.36499841) inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.08848301, err= 0.08848301 (at 5.90613412 -7.07864085 -0.36499841) inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 5.90613412 -7.07864085 -0.36499841) d(Node)/d(area) check complete with 6 total errors (errmax= 8.8483e-02) ********************************************************* 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= 0.29164395, err= -0.00012912 (at 5.75680129 7.15419377 -0.32269649) iface= 4, ipnt= 57 (Y): anal= 0.66038262, fd= 0.66067512, err= -0.00029250 (at 5.75680129 7.15419377 -0.32269649) iface= 4, ipnt= 58 (Y): anal= 0.67742089, fd= 0.67519090, 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= 0.02946243 (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= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 4.09581103 7.07106781 0.15104056) iedge= 4, ipnt= 21 (Y): anal= 40.02507666, fd= 0.00000000, err= 40.02507666 (at 4.09581103 7.07106781 0.15104056) iedge= 4, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 4.09581103 7.07106781 0.15104056) iedge= 4, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 4.08785150 7.07106781 0.13785911) iedge= 4, ipnt= 22 (Y): anal= 3.46982135, fd= -0.00000000, err= 3.46982135 (at 4.08785150 7.07106781 0.13785911) iedge= 4, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (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= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Y): anal= -8.29171619, fd= 0.00000000, err= -8.29171619 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200156 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Y): anal= 16.80310327, fd= 0.00000000, err= 16.80310327 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (at 4.08021879 7.07106781 0.09284805) iedge= 9, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (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= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 4.09581103 -7.07106781 0.15104056) iedge= 15, ipnt= 21 (Y): anal= -40.02507666, fd= -0.00000000, err= -40.02507666 (at 4.09581103 -7.07106781 0.15104056) iedge= 15, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 4.09581103 -7.07106781 0.15104056) iedge= 15, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 4.08785150 -7.07106781 0.13785911) iedge= 15, ipnt= 22 (Y): anal= -3.46982135, fd= 0.00000000, err= -3.46982135 (at 4.08785150 -7.07106781 0.13785911) iedge= 15, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (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= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Y): anal= 8.29171619, fd= -0.00000000, err= 8.29171619 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200156 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Y): anal= -16.80310327, fd= -0.00000000, err= -16.80310327 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (at 4.08021879 -7.07106781 0.09284805) iedge= 18, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (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= 0.00003198, 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= -0.00086817 (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= 0.06024964, err= -0.00016409 (at 5.75680129 7.15419377 -0.32269649) iface= 4, ipnt= 58 (Y): anal= 0.00208147, fd= -0.00092263, err= 0.00300410 (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= -0.00016595 (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= 4.1111e-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= 0.00736879, 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= 7.5551e-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= -0.00835808, err= 0.00835808 (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= 0.00220321, err= -0.00220321 (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 15049 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= 0.00069085, err= -0.00069085 (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 14006 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= -0.67325730, 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= -0.39559011 (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= -0.36302083 (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= 0.32562083, err= -0.32581115 (at 5.15422833 -7.36950463 -0.14697826) ...too many errors to list d(Face)/d(thick_t) check complete with 16484 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=-2877890.49138031, fd= 0.04015703, err=-2877890.53153734 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Y): anal=-64496474.85165953, fd= 0.00000000, err=-64496474.85165953 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Z): anal=-5487003.81736399, fd= 0.07656365, err=-5487003.89392764 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 2 (X): anal=-7179194.46519370, fd= 0.06926994, err=-7179194.53446364 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Y): anal=-164206876.58229858, fd= 0.00000000, err=-164206876.58229858 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Z): anal=-13958432.58338326, fd= 0.13468081, err=-13958432.71806407 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 3 (X): anal=-17580153.88726233, fd= 0.09658210, err=-17580153.98384443 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Y): anal=-409235487.58106333, fd= -0.00000000, err=-409235487.58106333 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Z): anal=-34830360.81750005, fd= 0.19135153, err=-34830361.00885157 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 4 (X): anal=-99043135.25013138, fd= 0.12220877, err=-99043135.37234016 (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=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Y): anal=226586.08811240, fd= 0.00000000, err=226586.08811240 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Z): anal=-9414.86035025, fd= 0.00104868, err=-9414.86139893 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 2 (X): anal=1382737.70668959, fd= -0.05436935, err=1382737.76105894 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Y): anal=2442628.89453401, fd= 0.00000000, err=2442628.89453400 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Z): anal=152399.95570746, fd= -0.00599238, err=152399.96169984 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Y): anal=2760598.68840712, fd= -0.00000000, err=2760598.68840712 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Z): anal=572953.83582989, fd= -0.06948560, err=572953.90531549 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (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= 0.00181837, err= -0.02370360 (at 5.90556810 7.07806437 -0.36643221) iedge= 11, ipnt= 2 (Y): anal= -0.29135140, fd= 0.02420725, err= -0.31555865 (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= 0.14910942 (at 5.90377736 7.07396588 -0.36829084) ...too many errors to list iedge= 15, ipnt= 1 (X): anal=-2877890.49138031, fd= 0.04015703, err=-2877890.53153734 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Y): anal=64496474.85165953, fd= -0.00000000, err=64496474.85165953 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Z): anal=-5487003.81736399, fd= 0.07656365, err=-5487003.89392764 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 2 (X): anal=-7179194.46519371, fd= 0.06926994, err=-7179194.53446365 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Y): anal=164206876.58229858, fd= -0.00000000, err=164206876.58229858 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Z): anal=-13958432.58338327, fd= 0.13468081, err=-13958432.71806408 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 3 (X): anal=-17580153.88726236, fd= 0.09658210, err=-17580153.98384446 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Y): anal=409235487.58106333, fd= 0.00000000, err=409235487.58106333 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Z): anal=-34830360.81750008, fd= 0.19135153, err=-34830361.00885160 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 4 (X): anal=-99043135.25013149, fd= 0.12220877, err=-99043135.37234026 (at 5.68589998 -7.07106781 -0.24808616) ...too many errors to list iedge= 17, ipnt= 1 (X): anal=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Y): anal=-226586.08811240, fd= -0.00000000, err=-226586.08811240 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Z): anal=-9414.86035025, fd= 0.00104868, err=-9414.86139893 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 2 (X): anal=1382737.70668959, fd= -0.05436935, err=1382737.76105894 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Y): anal=-2442628.89453401, fd= -0.00000000, err=-2442628.89453400 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Z): anal=152399.95570746, fd= -0.00599238, err=152399.96169984 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Y): anal=-2760598.68840712, fd= 0.00000000, err=-2760598.68840712 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Z): anal=572953.83582989, fd= -0.06948560, err=572953.90531549 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (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= 0.00181837, err= -0.02370360 (at 5.90556810 -7.07806437 -0.36643221) iedge= 20, ipnt= 2 (Y): anal= 0.29135140, fd= -0.02420725, err= 0.31555865 (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= 0.14910942 (at 5.90377736 -7.07396588 -0.36829084) ...too many errors to list d(Edge)/d(thick_t) check complete with 318 total errors (errmax= 1.0014e+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= 0.00475700, 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= 0.03225908 (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 16143 total errors (errmax= 1.7368e+00) iedge= 4, ipnt= 1 (X): anal=-6048561.95208942, fd= 0.09394856, err=-6048562.04603797 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Y): anal=-135554471.44912693, fd= -0.00000000, err=-135554471.44912693 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Z): anal=-11532225.64238683, fd= 0.17912290, err=-11532225.82150973 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 2 (X): anal=-18147753.46483111, fd= 0.17844379, err=-18147753.64327489 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Y): anal=-415086390.04582071, fd= -0.00000000, err=-415086390.04582071 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Z): anal=-35284486.93050832, fd= 0.34694638, err=-35284487.27745470 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 3 (X): anal=-47272341.38041763, fd= 0.25534340, err=-47272341.63576103 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Y): anal=-1100418107.61084104, fd= -0.00000000, err=-1100418107.61084104 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Z): anal=-93657468.38888383, fd= 0.50589448, err=-93657468.89477831 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 4 (X): anal=-273170131.74856323, fd= 0.32501459, err=-273170132.07357782 (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=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Y): anal=168711.16394013, fd= -0.00000000, err=168711.16394013 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Z): anal=-7010.11036458, fd= -0.00556089, err=-7010.10480370 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 2 (X): anal=-889655.47716123, fd= 0.14871645, err=-889655.62587769 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Y): anal=-1571591.22950884, fd= 0.00000000, err=-1571591.22950884 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Z): anal=-98054.35597679, fd= 0.01639095, err=-98054.37236774 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789372, err=-2135435.48045090 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Y): anal=-4434404.56192405, fd= -0.00000000, err=-4434404.56192404 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (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=-6048561.95208942, fd= 0.09394856, err=-6048562.04603798 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Y): anal=135554471.44912693, fd= 0.00000000, err=135554471.44912693 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Z): anal=-11532225.64238684, fd= 0.17912290, err=-11532225.82150974 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 2 (X): anal=-18147753.46483112, fd= 0.17844379, err=-18147753.64327491 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Y): anal=415086390.04582071, fd= 0.00000000, err=415086390.04582071 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Z): anal=-35284486.93050835, fd= 0.34694638, err=-35284487.27745473 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 3 (X): anal=-47272341.38041773, fd= 0.25534340, err=-47272341.63576113 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Y): anal=1100418107.61084104, fd= 0.00000000, err=1100418107.61084104 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Z): anal=-93657468.38888393, fd= 0.50589448, err=-93657468.89477842 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 4 (X): anal=-273170131.74856353, fd= 0.32501459, err=-273170132.07357812 (at 5.68589998 -7.07106781 -0.24808616) ...too many errors to list iedge= 17, ipnt= 1 (X): anal=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Y): anal=-168711.16394013, fd= 0.00000000, err=-168711.16394013 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Z): anal=-7010.11036458, fd= -0.00556089, err=-7010.10480370 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 2 (X): anal=-889655.47716123, fd= 0.14871645, err=-889655.62587769 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Y): anal=1571591.22950884, fd= -0.00000000, err=1571591.22950884 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Z): anal=-98054.35597679, fd= 0.01639095, err=-98054.37236774 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789372, err=-2135435.48045090 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Y): anal=4434404.56192405, fd= 0.00000000, err=4434404.56192404 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (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= 2.2089e+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= -0.00161776 (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= -0.00161776 (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 -> 2.911 sec Sensitivity checks complete with 80054 total errors (max config err= 2.2089e+11) with 0 suppressions real 0m16.786s user 0m17.452s sys 0m0.020s ++++ set +x data/basic/designG5 failed (known sens failure) -------------------------------------------------------------------------------------------------- ( 120 / 180 ) data/basic/designG6.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 0.07382668, err= -0.07382668 (at 5.90613412 7.07864085 -0.36499841) inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.08848301, err= -0.08848301 (at 5.90613412 7.07864085 -0.36499841) inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 5.90613412 7.07864085 -0.36499841) inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382668, err= -0.07382668 (at 5.90613412 -7.07864085 -0.36499841) inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.08848301, err= 0.08848301 (at 5.90613412 -7.07864085 -0.36499841) inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 5.90613412 -7.07864085 -0.36499841) d(Node)/d(area) check complete with 6 total errors (errmax= 8.8483e-02) Computing analytic sensitivities (if possible) for ibody=19 Computing finite difference sensitivities for ibody=19 Comparing configuration sensitivities wrt "area" for ibody=19 d(Face)/d(area) check complete with 0 total errors (errmax= 6.7789e-07) d(Edge)/d(area) check complete with 0 total errors (errmax= 5.2131e-07) inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382668, err= -0.07382668 (at 10.90613412 7.07864085 -0.36499841) inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.08848301, err= -0.08848301 (at 10.90613412 7.07864085 -0.36499841) inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 10.90613412 7.07864085 -0.36499841) inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382668, err= -0.07382668 (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= 0.29164395, err= -0.00012912 (at 5.75680129 7.15419377 -0.32269649) iface= 4, ipnt= 57 (Y): anal= 0.66038262, fd= 0.66067512, err= -0.00029250 (at 5.75680129 7.15419377 -0.32269649) iface= 4, ipnt= 58 (Y): anal= 0.67742089, fd= 0.67519090, 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= 0.29164395, err= -0.00012912 (at 10.75680129 7.15419377 -0.32269649) iface= 4, ipnt= 57 (Y): anal= 0.66038262, fd= 0.66067512, err= -0.00029250 (at 10.75680129 7.15419377 -0.32269649) iface= 4, ipnt= 58 (Y): anal= 0.67742089, fd= 0.67519090, 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= -0.67425654, 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= 0.02946243 (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= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 4.09581103 7.07106781 0.15104056) iedge= 4, ipnt= 21 (Y): anal= 40.02507666, fd= 0.00000000, err= 40.02507666 (at 4.09581103 7.07106781 0.15104056) iedge= 4, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 4.09581103 7.07106781 0.15104056) iedge= 4, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 4.08785150 7.07106781 0.13785911) iedge= 4, ipnt= 22 (Y): anal= 3.46982135, fd= -0.00000000, err= 3.46982135 (at 4.08785150 7.07106781 0.13785911) iedge= 4, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (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= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Y): anal= -8.29171619, fd= 0.00000000, err= -8.29171619 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200156 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Y): anal= 16.80310327, fd= 0.00000000, err= 16.80310327 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (at 4.08021879 7.07106781 0.09284805) iedge= 9, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (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= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 4.09581103 -7.07106781 0.15104056) iedge= 15, ipnt= 21 (Y): anal= -40.02507666, fd= -0.00000000, err= -40.02507666 (at 4.09581103 -7.07106781 0.15104056) iedge= 15, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 4.09581103 -7.07106781 0.15104056) iedge= 15, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 4.08785150 -7.07106781 0.13785911) iedge= 15, ipnt= 22 (Y): anal= -3.46982135, fd= 0.00000000, err= -3.46982135 (at 4.08785150 -7.07106781 0.13785911) iedge= 15, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (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= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Y): anal= 8.29171619, fd= -0.00000000, err= 8.29171619 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200156 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Y): anal= -16.80310327, fd= -0.00000000, err= -16.80310327 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (at 4.08021879 -7.07106781 0.09284805) iedge= 18, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (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= 0.02946243 (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= 0.00326884 (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= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 9.09581103 7.07106781 0.15104056) iedge= 4, ipnt= 21 (Y): anal= 40.02507666, fd= 0.00000000, err= 40.02507666 (at 9.09581103 7.07106781 0.15104056) iedge= 4, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 9.09581103 7.07106781 0.15104056) iedge= 4, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 9.08785150 7.07106781 0.13785911) iedge= 4, ipnt= 22 (Y): anal= 3.46982135, fd= -0.00000000, err= 3.46982135 (at 9.08785150 7.07106781 0.13785911) iedge= 4, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (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= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 9.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Y): anal= -8.29171619, fd= 0.00000000, err= -8.29171619 (at 9.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 9.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200155 (at 9.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Y): anal= 16.80310327, fd= 0.00000000, err= 16.80310327 (at 9.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (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= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 9.09581103 -7.07106781 0.15104056) iedge= 15, ipnt= 21 (Y): anal= -40.02507666, fd= -0.00000000, err= -40.02507666 (at 9.09581103 -7.07106781 0.15104056) iedge= 15, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 9.09581103 -7.07106781 0.15104056) iedge= 15, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 9.08785150 -7.07106781 0.13785911) iedge= 15, ipnt= 22 (Y): anal= -3.46982135, fd= 0.00000000, err= -3.46982135 (at 9.08785150 -7.07106781 0.13785911) iedge= 15, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (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= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 9.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Y): anal= 8.29171619, fd= -0.00000000, err= 8.29171619 (at 9.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 9.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200155 (at 9.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Y): anal= -16.80310327, fd= -0.00000000, err= -16.80310327 (at 9.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (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= 0.00003198, 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= -0.00086817 (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= 0.00003198, 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= -0.00086817 (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= 0.06024964, err= -0.00016409 (at 5.75680129 7.15419377 -0.32269649) iface= 4, ipnt= 58 (Y): anal= 0.00208147, fd= -0.00092263, err= 0.00300410 (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= -0.00016595 (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= 4.1111e-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= 0.06024964, err= -0.00016409 (at 10.75680129 7.15419377 -0.32269649) iface= 4, ipnt= 58 (Y): anal= 0.00208147, fd= -0.00092263, err= 0.00300410 (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= -0.00016595 (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= -0.06264247, 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= 0.00736879, 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= 7.5551e-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= 0.00736879, 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= 7.5551e-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= -0.00835808, err= 0.00835808 (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= 0.00220321, err= -0.00220321 (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 15049 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= -0.29880600, 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= -0.00835808, err= 0.00835808 (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= 0.00220321, err= -0.00220321 (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 15035 total errors (errmax= 8.8578e-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= 0.00069085, err= -0.00069085 (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 14006 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= 0.00069085, err= -0.00069085 (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= -0.67325730, 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= -0.39559011 (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= -0.36302083 (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= 0.32562083, err= -0.32581115 (at 5.15422833 -7.36950463 -0.14697826) ...too many errors to list d(Face)/d(thick_t) check complete with 16484 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=-2877890.49138031, fd= 0.04015703, err=-2877890.53153734 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Y): anal=-64496474.85165953, fd= 0.00000000, err=-64496474.85165953 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Z): anal=-5487003.81736399, fd= 0.07656365, err=-5487003.89392764 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 2 (X): anal=-7179194.46519370, fd= 0.06926994, err=-7179194.53446364 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Y): anal=-164206876.58229858, fd= 0.00000000, err=-164206876.58229858 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Z): anal=-13958432.58338326, fd= 0.13468081, err=-13958432.71806407 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 3 (X): anal=-17580153.88726233, fd= 0.09658210, err=-17580153.98384443 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Y): anal=-409235487.58106333, fd= -0.00000000, err=-409235487.58106333 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Z): anal=-34830360.81750005, fd= 0.19135153, err=-34830361.00885157 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 4 (X): anal=-99043135.25013138, fd= 0.12220877, err=-99043135.37234016 (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=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Y): anal=226586.08811240, fd= 0.00000000, err=226586.08811240 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Z): anal=-9414.86035025, fd= 0.00104868, err=-9414.86139893 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 2 (X): anal=1382737.70668959, fd= -0.05436935, err=1382737.76105894 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Y): anal=2442628.89453401, fd= 0.00000000, err=2442628.89453400 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Z): anal=152399.95570746, fd= -0.00599238, err=152399.96169984 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Y): anal=2760598.68840712, fd= -0.00000000, err=2760598.68840712 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Z): anal=572953.83582989, fd= -0.06948560, err=572953.90531549 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (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= 0.00181837, err= -0.02370360 (at 5.90556810 7.07806437 -0.36643221) iedge= 11, ipnt= 2 (Y): anal= -0.29135140, fd= 0.02420725, err= -0.31555865 (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= 0.14910942 (at 5.90377736 7.07396588 -0.36829084) ...too many errors to list iedge= 15, ipnt= 1 (X): anal=-2877890.49138031, fd= 0.04015703, err=-2877890.53153734 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Y): anal=64496474.85165953, fd= -0.00000000, err=64496474.85165953 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Z): anal=-5487003.81736399, fd= 0.07656365, err=-5487003.89392764 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 2 (X): anal=-7179194.46519371, fd= 0.06926994, err=-7179194.53446365 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Y): anal=164206876.58229858, fd= -0.00000000, err=164206876.58229858 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Z): anal=-13958432.58338327, fd= 0.13468081, err=-13958432.71806408 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 3 (X): anal=-17580153.88726236, fd= 0.09658210, err=-17580153.98384446 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Y): anal=409235487.58106333, fd= 0.00000000, err=409235487.58106333 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Z): anal=-34830360.81750008, fd= 0.19135153, err=-34830361.00885160 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 4 (X): anal=-99043135.25013149, fd= 0.12220877, err=-99043135.37234026 (at 5.68589998 -7.07106781 -0.24808616) ...too many errors to list iedge= 17, ipnt= 1 (X): anal=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Y): anal=-226586.08811240, fd= -0.00000000, err=-226586.08811240 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Z): anal=-9414.86035025, fd= 0.00104868, err=-9414.86139893 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 2 (X): anal=1382737.70668959, fd= -0.05436935, err=1382737.76105894 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Y): anal=-2442628.89453401, fd= -0.00000000, err=-2442628.89453400 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Z): anal=152399.95570746, fd= -0.00599238, err=152399.96169984 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Y): anal=-2760598.68840712, fd= 0.00000000, err=-2760598.68840712 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Z): anal=572953.83582989, fd= -0.06948560, err=572953.90531549 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (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= 0.00181837, err= -0.02370360 (at 5.90556810 -7.07806437 -0.36643221) iedge= 20, ipnt= 2 (Y): anal= 0.29135140, fd= -0.02420725, err= 0.31555865 (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= 0.14910942 (at 5.90377736 -7.07396588 -0.36829084) ...too many errors to list d(Edge)/d(thick_t) check complete with 318 total errors (errmax= 1.0014e+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= -0.39559011 (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= -0.36302083 (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= 0.21710081 (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 16470 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=-2877890.49138023, fd= 0.04015703, err=-2877890.53153727 (at 10.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Y): anal=-64496474.85165953, fd= 0.00000000, err=-64496474.85165953 (at 10.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Z): anal=-5487003.81736403, fd= 0.07656365, err=-5487003.89392767 (at 10.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 2 (X): anal=-7179194.46519368, fd= 0.06926993, err=-7179194.53446362 (at 10.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Y): anal=-164206876.58229858, fd= 0.00000000, err=-164206876.58229858 (at 10.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Z): anal=-13958432.58338327, fd= 0.13468081, err=-13958432.71806408 (at 10.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 3 (X): anal=-17580153.88726261, fd= 0.09658210, err=-17580153.98384470 (at 10.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Y): anal=-409235487.58106333, fd= -0.00000000, err=-409235487.58106333 (at 10.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Z): anal=-34830360.81749991, fd= 0.19135153, err=-34830361.00885143 (at 10.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 4 (X): anal=-99043135.25013115, fd= 0.12220877, err=-99043135.37233992 (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=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 9.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Y): anal=226586.08811240, fd= 0.00000000, err=226586.08811240 (at 9.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Z): anal=-9414.86035026, fd= 0.00104868, err=-9414.86139894 (at 9.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 2 (X): anal=1382737.70668960, fd= -0.05436935, err=1382737.76105895 (at 9.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Y): anal=2442628.89453401, fd= 0.00000000, err=2442628.89453400 (at 9.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Z): anal=152399.95570740, fd= -0.00599238, err=152399.96169978 (at 9.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 9.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Y): anal=2760598.68840712, fd= -0.00000000, err=2760598.68840712 (at 9.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Z): anal=572953.83582988, fd= -0.06948560, err=572953.90531548 (at 9.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (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= 0.03307517, 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=-2877890.49138024, fd= 0.04015703, err=-2877890.53153727 (at 10.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Y): anal=64496474.85165953, fd= -0.00000000, err=64496474.85165953 (at 10.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Z): anal=-5487003.81736403, fd= 0.07656365, err=-5487003.89392768 (at 10.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 2 (X): anal=-7179194.46519369, fd= 0.06926993, err=-7179194.53446362 (at 10.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Y): anal=164206876.58229858, fd= -0.00000000, err=164206876.58229858 (at 10.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Z): anal=-13958432.58338328, fd= 0.13468081, err=-13958432.71806409 (at 10.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 3 (X): anal=-17580153.88726264, fd= 0.09658210, err=-17580153.98384474 (at 10.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Y): anal=409235487.58106333, fd= 0.00000000, err=409235487.58106333 (at 10.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Z): anal=-34830360.81749994, fd= 0.19135153, err=-34830361.00885146 (at 10.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 4 (X): anal=-99043135.25013125, fd= 0.12220877, err=-99043135.37234002 (at 10.68589998 -7.07106781 -0.24808616) ...too many errors to list iedge= 17, ipnt= 1 (X): anal=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 9.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Y): anal=-226586.08811240, fd= -0.00000000, err=-226586.08811240 (at 9.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Z): anal=-9414.86035026, fd= 0.00104868, err=-9414.86139894 (at 9.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 2 (X): anal=1382737.70668960, fd= -0.05436935, err=1382737.76105895 (at 9.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Y): anal=-2442628.89453401, fd= -0.00000000, err=-2442628.89453400 (at 9.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Z): anal=152399.95570740, fd= -0.00599238, err=152399.96169978 (at 9.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 9.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Y): anal=-2760598.68840712, fd= 0.00000000, err=-2760598.68840712 (at 9.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Z): anal=572953.83582988, fd= -0.06948560, err=572953.90531548 (at 9.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (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= -0.03307517, 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= 1.0014e+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= 0.00475700, 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= 0.03225908 (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 16143 total errors (errmax= 1.7368e+00) iedge= 4, ipnt= 1 (X): anal=-6048561.95208942, fd= 0.09394856, err=-6048562.04603797 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Y): anal=-135554471.44912693, fd= -0.00000000, err=-135554471.44912693 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Z): anal=-11532225.64238683, fd= 0.17912290, err=-11532225.82150973 (at 5.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 2 (X): anal=-18147753.46483111, fd= 0.17844379, err=-18147753.64327489 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Y): anal=-415086390.04582071, fd= -0.00000000, err=-415086390.04582071 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Z): anal=-35284486.93050832, fd= 0.34694638, err=-35284487.27745470 (at 5.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 3 (X): anal=-47272341.38041763, fd= 0.25534340, err=-47272341.63576103 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Y): anal=-1100418107.61084104, fd= -0.00000000, err=-1100418107.61084104 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Z): anal=-93657468.38888383, fd= 0.50589448, err=-93657468.89477831 (at 5.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 4 (X): anal=-273170131.74856323, fd= 0.32501459, err=-273170132.07357782 (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=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Y): anal=168711.16394013, fd= -0.00000000, err=168711.16394013 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Z): anal=-7010.11036458, fd= -0.00556089, err=-7010.10480370 (at 4.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 2 (X): anal=-889655.47716123, fd= 0.14871645, err=-889655.62587769 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Y): anal=-1571591.22950884, fd= 0.00000000, err=-1571591.22950884 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Z): anal=-98054.35597679, fd= 0.01639095, err=-98054.37236774 (at 4.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789372, err=-2135435.48045090 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Y): anal=-4434404.56192405, fd= -0.00000000, err=-4434404.56192404 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 4.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (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=-6048561.95208942, fd= 0.09394856, err=-6048562.04603798 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Y): anal=135554471.44912693, fd= 0.00000000, err=135554471.44912693 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Z): anal=-11532225.64238684, fd= 0.17912290, err=-11532225.82150974 (at 5.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 2 (X): anal=-18147753.46483112, fd= 0.17844379, err=-18147753.64327491 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Y): anal=415086390.04582071, fd= 0.00000000, err=415086390.04582071 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Z): anal=-35284486.93050835, fd= 0.34694638, err=-35284487.27745473 (at 5.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 3 (X): anal=-47272341.38041773, fd= 0.25534340, err=-47272341.63576113 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Y): anal=1100418107.61084104, fd= 0.00000000, err=1100418107.61084104 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Z): anal=-93657468.38888393, fd= 0.50589448, err=-93657468.89477842 (at 5.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 4 (X): anal=-273170131.74856353, fd= 0.32501459, err=-273170132.07357812 (at 5.68589998 -7.07106781 -0.24808616) ...too many errors to list iedge= 17, ipnt= 1 (X): anal=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Y): anal=-168711.16394013, fd= 0.00000000, err=-168711.16394013 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Z): anal=-7010.11036458, fd= -0.00556089, err=-7010.10480370 (at 4.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 2 (X): anal=-889655.47716123, fd= 0.14871645, err=-889655.62587769 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Y): anal=1571591.22950884, fd= -0.00000000, err=1571591.22950884 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Z): anal=-98054.35597679, fd= 0.01639095, err=-98054.37236774 (at 4.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789372, err=-2135435.48045090 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Y): anal=4434404.56192405, fd= 0.00000000, err=4434404.56192404 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 4.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (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= 2.2089e+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= 0.00553562, 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= 0.00475700, 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= 0.03225908 (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= -0.00553562, 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 16108 total errors (errmax= 1.7368e+00) iedge= 4, ipnt= 1 (X): anal=-6048561.95208926, fd= 0.09394856, err=-6048562.04603782 (at 10.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Y): anal=-135554471.44912693, fd= -0.00000000, err=-135554471.44912693 (at 10.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 1 (Z): anal=-11532225.64238691, fd= 0.17912290, err=-11532225.82150981 (at 10.85046972 7.07106781 -0.33195634) iedge= 4, ipnt= 2 (X): anal=-18147753.46483105, fd= 0.17844379, err=-18147753.64327484 (at 10.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Y): anal=-415086390.04582071, fd= -0.00000000, err=-415086390.04582071 (at 10.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 2 (Z): anal=-35284486.93050835, fd= 0.34694638, err=-35284487.27745473 (at 10.79582849 7.07106781 -0.30357826) iedge= 4, ipnt= 3 (X): anal=-47272341.38041840, fd= 0.25534340, err=-47272341.63576180 (at 10.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Y): anal=-1100418107.61084104, fd= -0.00000000, err=-1100418107.61084104 (at 10.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 3 (Z): anal=-93657468.38888346, fd= 0.50589448, err=-93657468.89477794 (at 10.74096759 7.07106781 -0.27562744) iedge= 4, ipnt= 4 (X): anal=-273170131.74856257, fd= 0.32501459, err=-273170132.07357717 (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=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 9.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Y): anal=168711.16394013, fd= -0.00000000, err=168711.16394013 (at 9.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 1 (Z): anal=-7010.11036459, fd= -0.00556089, err=-7010.10480370 (at 9.07991582 7.07106781 0.10824202) iedge= 7, ipnt= 2 (X): anal=-889655.47716124, fd= 0.14871645, err=-889655.62587769 (at 9.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Y): anal=-1571591.22950884, fd= 0.00000000, err=-1571591.22950884 (at 9.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 2 (Z): anal=-98054.35597675, fd= 0.01639095, err=-98054.37236770 (at 9.08021879 7.07106781 0.09284805) iedge= 7, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789371, err=-2135435.48045090 (at 9.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Y): anal=-4434404.56192405, fd= -0.00000000, err=-4434404.56192404 (at 9.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 9.08832560 7.07106781 0.06322158) iedge= 7, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (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= -0.01062994, err= 0.32643106 (at 10.90377736 7.07396588 -0.36829084) ...too many errors to list iedge= 15, ipnt= 1 (X): anal=-6048561.95208927, fd= 0.09394856, err=-6048562.04603783 (at 10.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Y): anal=135554471.44912693, fd= 0.00000000, err=135554471.44912693 (at 10.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 1 (Z): anal=-11532225.64238692, fd= 0.17912290, err=-11532225.82150982 (at 10.85046972 -7.07106781 -0.33195634) iedge= 15, ipnt= 2 (X): anal=-18147753.46483107, fd= 0.17844379, err=-18147753.64327485 (at 10.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Y): anal=415086390.04582071, fd= 0.00000000, err=415086390.04582071 (at 10.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 2 (Z): anal=-35284486.93050838, fd= 0.34694638, err=-35284487.27745476 (at 10.79582849 -7.07106781 -0.30357826) iedge= 15, ipnt= 3 (X): anal=-47272341.38041849, fd= 0.25534340, err=-47272341.63576189 (at 10.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Y): anal=1100418107.61084104, fd= 0.00000000, err=1100418107.61084104 (at 10.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 3 (Z): anal=-93657468.38888355, fd= 0.50589448, err=-93657468.89477803 (at 10.74096759 -7.07106781 -0.27562744) iedge= 15, ipnt= 4 (X): anal=-273170131.74856287, fd= 0.32501459, err=-273170132.07357746 (at 10.68589998 -7.07106781 -0.24808616) ...too many errors to list iedge= 17, ipnt= 1 (X): anal=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 9.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Y): anal=-168711.16394013, fd= 0.00000000, err=-168711.16394013 (at 9.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 1 (Z): anal=-7010.11036459, fd= -0.00556089, err=-7010.10480370 (at 9.07991582 -7.07106781 0.10824202) iedge= 17, ipnt= 2 (X): anal=-889655.47716124, fd= 0.14871645, err=-889655.62587769 (at 9.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Y): anal=1571591.22950884, fd= -0.00000000, err=1571591.22950884 (at 9.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 2 (Z): anal=-98054.35597675, fd= 0.01639095, err=-98054.37236770 (at 9.08021879 -7.07106781 0.09284805) iedge= 17, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789371, err=-2135435.48045090 (at 9.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Y): anal=4434404.56192405, fd= 0.00000000, err=4434404.56192404 (at 9.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 9.08832560 -7.07106781 0.06322158) iedge= 17, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (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= -0.01062994, 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= 2.2089e+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= -0.00161776 (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= -0.00161776 (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= -0.00161776 (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= -0.00161776 (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= 4.2790e-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= 5.1756e-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 -> 5.749 sec Sensitivity checks complete with 160017 total errors (max config err= 2.2089e+11) with 0 suppressions real 0m43.170s user 0m44.404s sys 0m0.032s ++++ set +x data/basic/designG6 failed (known sens failure) -------------------------------------------------------------------------------------------------- ( 121 / 180 ) data/basic/designH1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 0m0.205s user 0m0.184s sys 0m0.068s ++++ set +x data/basic/designH1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 122 / 180 ) data/basic/designH2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.017 sec Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 24 suppressions real 0m0.364s user 0m0.320s sys 0m0.072s ++++ set +x data/basic/designH2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 123 / 180 ) data/basic/designH3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 0m0.231s user 0m0.200s sys 0m0.112s ++++ set +x data/basic/designH3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 124 / 180 ) data/basic/designH4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.012 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 20 suppressions real 0m0.372s user 0m0.396s sys 0m0.152s ++++ set +x data/basic/designH4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 125 / 180 ) data/basic/designI1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.7416e-11) d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11) d(Node)/d(RAD) check complete with 0 total errors (errmax= 6.7515e-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= 4.1159e-11) d(Edge)/d(ROUND) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(ROUND) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "SCALE" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=4 Computing finite difference sensitivities for ibody=4 Comparing configuration sensitivities wrt "SCALE" for ibody=4 d(Face)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10) d(Edge)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10) d(Node)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.030 sec Sensitivity checks complete with 0 total errors (max config err= 1.5888e-09) with 0 suppressions real 0m0.661s user 0m0.580s sys 0m0.336s ++++ set +x data/basic/designI1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 126 / 180 ) data/basic/designI2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.1836e-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= 4.2727e-11) d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11) d(Node)/d(RAD) check complete with 0 total errors (errmax= 6.7513e-12) ********************************************************* Starting configuration sensitivity wrt "ROUND" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=4 Computing finite difference sensitivities for ibody=4 Comparing configuration sensitivities wrt "ROUND" for ibody=4 d(Face)/d(ROUND) check complete with 0 total errors (errmax= 3.1836e-11) d(Edge)/d(ROUND) check complete with 0 total errors (errmax= 0.0000e+00) d(Node)/d(ROUND) check complete with 0 total errors (errmax= 0.0000e+00) ********************************************************* Starting configuration sensitivity wrt "SCALE" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=4 Computing finite difference sensitivities for ibody=4 Comparing configuration sensitivities wrt "SCALE" for ibody=4 d(Face)/d(SCALE) check complete with 0 total errors (errmax= 8.2267e-11) d(Edge)/d(SCALE) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(SCALE) check complete with 0 total errors (errmax= 8.2267e-11) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.026 sec Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions real 0m0.651s user 0m0.580s sys 0m0.336s ++++ set +x data/basic/designI2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 127 / 180 ) data/basic/designI3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 4.1254e-11) d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11) d(Node)/d(RAD) check complete with 0 total errors (errmax= 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 -> 0.030 sec Sensitivity checks complete with 0 total errors (max config err= 1.2978e-09) with 0 suppressions real 0m0.673s user 0m0.596s sys 0m0.320s ++++ set +x data/basic/designI3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 128 / 180 ) data/basic/designI4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.1836e-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= 3.7416e-11) d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11) d(Node)/d(RAD) check complete with 0 total errors (errmax= 6.7515e-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= 4.2727e-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= 4.1254e-11) d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11) d(Node)/d(RAD) check complete with 0 total errors (errmax= 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 -> 0.081 sec Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions real 0m4.240s user 0m3.488s sys 0m2.440s ++++ set +x data/basic/designI4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 129 / 180 ) data/basic/designJ1a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ1a.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "DX" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=3 Computing finite difference sensitivities for ibody=3 Comparing configuration sensitivities wrt "DX" for ibody=3 d(Face)/d(DX) check complete with 0 total errors (errmax= 5.1398e-10) d(Edge)/d(DX) check complete with 0 total errors (errmax= 5.1398e-10) d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11) ********************************************************* Starting configuration sensitivity wrt "DY" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=3 Computing finite difference sensitivities for ibody=3 Comparing configuration sensitivities wrt "DY" for ibody=3 d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) ********************************************************* Starting configuration sensitivity wrt "DZ" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=3 Computing finite difference sensitivities for ibody=3 Comparing configuration sensitivities wrt "DZ" for ibody=3 d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) d(Edge)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.004 sec Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions real 0m0.103s user 0m0.100s sys 0m0.012s ++++ set +x data/basic/designJ1a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 130 / 180 ) data/basic/designJ1b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.007 sec Sensitivity checks complete with 0 total errors (max config err= 1.1721e-10) with 0 suppressions real 0m0.153s user 0m0.156s sys 0m0.008s ++++ set +x data/basic/designJ1b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 131 / 180 ) data/basic/designJ1c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.002 sec Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 9 suppressions real 0m0.089s user 0m0.080s sys 0m0.008s ++++ set +x data/basic/designJ1c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 132 / 180 ) data/basic/designJ1d.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 0m0.045s user 0m0.036s sys 0m0.008s ++++ set +x data/basic/designJ1d -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 133 / 180 ) data/basic/designJ2a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.127 sec Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions real 0m0.397s user 0m0.456s sys 0m0.012s ++++ set +x data/basic/designJ2a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 134 / 180 ) data/basic/designJ2b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.169 sec Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions real 0m0.464s user 0m0.528s sys 0m0.000s ++++ set +x data/basic/designJ2b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 135 / 180 ) data/basic/designJ3a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.124 sec Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions real 0m0.410s user 0m0.504s sys 0m0.000s ++++ set +x data/basic/designJ3a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 136 / 180 ) data/basic/designJ3b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.169 sec Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions real 0m0.479s user 0m0.552s sys 0m0.004s ++++ set +x data/basic/designJ3b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 137 / 180 ) data/basic/designJ4a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.383 sec Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions real 0m0.955s user 0m0.992s sys 0m0.016s ++++ set +x data/basic/designJ4a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 138 / 180 ) data/basic/designJ4b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.284 sec Sensitivity checks complete with 0 total errors (max config err= 1.9578e-07) with 0 suppressions real 0m1.533s user 0m2.008s sys 0m0.008s ++++ set +x data/basic/designJ4b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 139 / 180 ) data/basic/designJ5.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ5.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "DX" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=3 Computing finite difference sensitivities for ibody=3 Comparing configuration sensitivities wrt "DX" for ibody=3 d(Face)/d(DX) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 3, iedge= 2 d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Tests suppressed for ibody= 3, inode= 3 Tests suppressed for ibody= 3, inode= 4 d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "DX" for ibody=6 d(Face)/d(DX) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 6, iedge= 2 d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Tests suppressed for ibody= 6, inode= 3 Tests suppressed for ibody= 6, inode= 4 d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "DX" for ibody=9 d(Face)/d(DX) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 9, iedge= 2 d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Tests suppressed for ibody= 9, inode= 3 Tests suppressed for ibody= 9, inode= 4 d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "DX" for ibody=12 d(Face)/d(DX) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 12, iedge= 2 d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Tests suppressed for ibody= 12, inode= 3 Tests suppressed for ibody= 12, inode= 4 d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=15 Computing finite difference sensitivities for ibody=15 Comparing configuration sensitivities wrt "DX" for ibody=15 d(Face)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Tests suppressed for ibody= 15, iedge= 2 d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Tests suppressed for ibody= 15, inode= 3 Tests suppressed for ibody= 15, inode= 4 d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "DX" for ibody=18 d(Face)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "DX" for ibody=20 d(Face)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11) d(Edge)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11) d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11) Computing analytic sensitivities (if possible) for ibody=23 Computing finite difference sensitivities for ibody=23 Comparing configuration sensitivities wrt "DX" for ibody=23 d(Face)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "DX" for ibody=26 d(Face)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=28 Computing finite difference sensitivities for ibody=28 Comparing configuration sensitivities wrt "DX" for ibody=28 d(Face)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "DY" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=3 Computing finite difference sensitivities for ibody=3 Comparing configuration sensitivities wrt "DY" for ibody=3 d(Face)/d(DY) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 3, iedge= 2 d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) Tests suppressed for ibody= 3, inode= 3 Tests suppressed for ibody= 3, inode= 4 d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "DY" for ibody=6 d(Face)/d(DY) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 6, iedge= 2 d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) Tests suppressed for ibody= 6, inode= 3 Tests suppressed for ibody= 6, inode= 4 d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "DY" for ibody=9 d(Face)/d(DY) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 9, iedge= 2 d(Edge)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) Tests suppressed for ibody= 9, inode= 3 Tests suppressed for ibody= 9, inode= 4 d(Node)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "DY" for ibody=12 d(Face)/d(DY) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 12, iedge= 2 d(Edge)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) Tests suppressed for ibody= 12, inode= 3 Tests suppressed for ibody= 12, inode= 4 d(Node)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=15 Computing finite difference sensitivities for ibody=15 Comparing configuration sensitivities wrt "DY" for ibody=15 d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) Tests suppressed for ibody= 15, iedge= 2 d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) Tests suppressed for ibody= 15, inode= 3 Tests suppressed for ibody= 15, inode= 4 d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "DY" for ibody=18 d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "DY" for ibody=20 d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11) Computing analytic sensitivities (if possible) for ibody=23 Computing finite difference sensitivities for ibody=23 Comparing configuration sensitivities wrt "DY" for ibody=23 d(Face)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "DY" for ibody=26 d(Face)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) Computing analytic sensitivities (if possible) for ibody=28 Computing finite difference sensitivities for ibody=28 Comparing configuration sensitivities wrt "DY" for ibody=28 d(Face)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "DZ" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=3 Computing finite difference sensitivities for ibody=3 Comparing configuration sensitivities wrt "DZ" for ibody=3 d(Face)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 3, iedge= 2 d(Edge)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 3, inode= 3 Tests suppressed for ibody= 3, inode= 4 d(Node)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=6 Computing finite difference sensitivities for ibody=6 Comparing configuration sensitivities wrt "DZ" for ibody=6 d(Face)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 6, iedge= 2 d(Edge)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 6, inode= 3 Tests suppressed for ibody= 6, inode= 4 d(Node)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "DZ" for ibody=9 d(Face)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 9, iedge= 2 d(Edge)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 9, inode= 3 Tests suppressed for ibody= 9, inode= 4 d(Node)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=12 Computing finite difference sensitivities for ibody=12 Comparing configuration sensitivities wrt "DZ" for ibody=12 d(Face)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 12, iedge= 2 d(Edge)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Tests suppressed for ibody= 12, inode= 3 Tests suppressed for ibody= 12, inode= 4 d(Node)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00) Computing analytic sensitivities (if possible) for ibody=15 Computing finite difference sensitivities for ibody=15 Comparing configuration sensitivities wrt "DZ" for ibody=15 d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) Tests suppressed for ibody= 15, iedge= 2 d(Edge)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) Tests suppressed for ibody= 15, inode= 3 Tests suppressed for ibody= 15, inode= 4 d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) Computing analytic sensitivities (if possible) for ibody=18 Computing finite difference sensitivities for ibody=18 Comparing configuration sensitivities wrt "DZ" for ibody=18 d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) d(Edge)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) Computing analytic sensitivities (if possible) for ibody=20 Computing finite difference sensitivities for ibody=20 Comparing configuration sensitivities wrt "DZ" for ibody=20 d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) d(Edge)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11) Computing analytic sensitivities (if possible) for ibody=23 Computing finite difference sensitivities for ibody=23 Comparing configuration sensitivities wrt "DZ" for ibody=23 d(Face)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11) d(Edge)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11) Computing analytic sensitivities (if possible) for ibody=26 Computing finite difference sensitivities for ibody=26 Comparing configuration sensitivities wrt "DZ" for ibody=26 d(Face)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11) d(Edge)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11) Computing analytic sensitivities (if possible) for ibody=28 Computing finite difference sensitivities for ibody=28 Comparing configuration sensitivities wrt "DZ" for ibody=28 d(Face)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11) d(Edge)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11) d(Node)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.021 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 45 suppressions real 0m1.815s user 0m1.892s sys 0m0.008s ++++ set +x data/basic/designJ5 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 140 / 180 ) data/basic/designK0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.360 sec Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions real 0m6.349s user 0m5.312s sys 0m3.580s ++++ set +x data/basic/designK0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 141 / 180 ) data/basic/designK1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 3.5922e-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 -> 0.431 sec Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions real 0m7.895s user 0m6.816s sys 0m3.788s ++++ set +x data/basic/designK1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 142 / 180 ) data/basic/designK2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.709 sec Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions real 0m35.149s user 0m34.012s sys 0m3.912s ++++ set +x data/basic/designK2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 143 / 180 ) data/basic/designL00.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.6027e-09) d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10) d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "ysize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=5 Computing finite difference sensitivities for ibody=5 Comparing configuration sensitivities wrt "ysize" for ibody=5 d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09) d(Edge)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10) d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10) ********************************************************* Starting configuration sensitivity wrt "zsize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=5 Computing finite difference sensitivities for ibody=5 Comparing configuration sensitivities wrt "zsize" for ibody=5 d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09) d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09) d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=5 Computing finite difference sensitivities for ibody=5 Comparing configuration sensitivities wrt "diam" for ibody=5 d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09) d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=5 Computing finite difference sensitivities for ibody=5 Comparing configuration sensitivities wrt "scale" for ibody=5 d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.027 sec Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions real 0m0.810s user 0m0.932s sys 0m0.276s ++++ set +x data/basic/designL00 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 144 / 180 ) data/basic/designL01.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.6027e-09) d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10) d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "ysize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "ysize" for ibody=7 d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09) d(Edge)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10) d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10) ********************************************************* Starting configuration sensitivity wrt "zsize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "zsize" for ibody=7 d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09) d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09) d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "diam" for ibody=7 d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09) d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "scale" for ibody=7 d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.029 sec Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions real 0m0.886s user 0m0.876s sys 0m0.380s ++++ set +x data/basic/designL01 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 145 / 180 ) data/basic/designL10.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.6027e-09) d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10) d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "ysize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "ysize" for ibody=7 d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09) d(Edge)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10) d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10) ********************************************************* Starting configuration sensitivity wrt "zsize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "zsize" for ibody=7 d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09) d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09) d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "diam" for ibody=7 d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09) d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "scale" for ibody=7 d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.031 sec Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions real 0m0.846s user 0m0.940s sys 0m0.324s ++++ set +x data/basic/designL10 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 146 / 180 ) data/basic/designL11.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.342 sec Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions real 0m1.587s user 0m1.708s sys 0m0.352s ++++ set +x data/basic/designL11 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 147 / 180 ) data/basic/designL12.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.316 sec Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions real 0m1.586s user 0m1.612s sys 0m0.480s ++++ set +x data/basic/designL12 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 148 / 180 ) data/basic/designL20.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.735 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m0.912s user 0m1.024s sys 0m0.336s ++++ set +x data/basic/designL20 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 149 / 180 ) data/basic/designL21.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 1.087 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m1.307s user 0m1.344s sys 0m0.424s ++++ set +x data/basic/designL21 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 150 / 180 ) data/basic/designL22.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL22.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "xbeg" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=15 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "ybeg" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=15 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "zbeg" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=15 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "xsize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=15 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "ysize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=15 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "zsize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=15 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=15 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=15 Sensitivity checks complete with 0 total errors ( finite diffs ) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 1.192 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m1.436s user 0m1.600s sys 0m0.404s ++++ set +x data/basic/designL22 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 151 / 180 ) data/basic/designL30.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.6027e-09) d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10) d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "ysize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "ysize" for ibody=8 d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09) d(Edge)/d(ysize) check complete with 0 total errors (errmax= 9.3769e-10) d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10) ********************************************************* Starting configuration sensitivity wrt "zsize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "zsize" for ibody=8 d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09) d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09) d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "diam" for ibody=8 d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09) d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "scale" for ibody=8 d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.050 sec Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions real 0m1.057s user 0m1.168s sys 0m0.392s ++++ set +x data/basic/designL30 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 152 / 180 ) data/basic/designL31.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.1837e-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= 0.00011570 (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= 0.00011570 (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= 6.0076e-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= -0.00074667 (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= 0.00133658 (at 21.29289306 -4.47112654 -9.00000000) iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000) iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, 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= 1.24682299, 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= -0.00074667 (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= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000) d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=14 Computing finite difference sensitivities for ibody=14 Comparing configuration sensitivities wrt "scale" for ibody=14 d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.522 sec Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions real 0m3.782s user 0m4.392s sys 0m0.816s ++++ set +x data/basic/designL31 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 153 / 180 ) data/basic/designL32.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.1837e-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= 0.00011570 (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= 0.00011570 (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= 6.0076e-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= -0.00074667 (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= 0.00133658 (at 21.29289306 -4.47112654 -9.00000000) iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000) iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, 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= 1.24682299, 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= -0.00074667 (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= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000) d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=14 Computing finite difference sensitivities for ibody=14 Comparing configuration sensitivities wrt "scale" for ibody=14 d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.582 sec Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions real 0m4.230s user 0m4.872s sys 0m1.056s ++++ set +x data/basic/designL32 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 154 / 180 ) data/basic/designL33.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.1837e-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= 0.00011570 (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= 0.00011570 (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= 6.0076e-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= -0.00074667 (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= 0.00133658 (at 21.29289306 -4.47112654 -9.00000000) iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000) iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, 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= 1.24682299, 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= -0.00074667 (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= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000) d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=14 Computing finite difference sensitivities for ibody=14 Comparing configuration sensitivities wrt "scale" for ibody=14 d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.481 sec Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions real 0m3.878s user 0m4.484s sys 0m0.820s ++++ set +x data/basic/designL33 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 155 / 180 ) data/basic/designL34.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.1837e-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= 0.00011570 (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= 0.00011570 (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= 6.0076e-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= -0.00074667 (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= 0.00133658 (at 21.29289306 -4.47112654 -9.00000000) iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000) iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, 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= 1.24682299, 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= -0.00074667 (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= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000) d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=14 Computing finite difference sensitivities for ibody=14 Comparing configuration sensitivities wrt "scale" for ibody=14 d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.482 sec Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions real 0m3.689s user 0m4.312s sys 0m0.740s ++++ set +x data/basic/designL34 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 156 / 180 ) data/basic/designL40.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 1.6027e-09) d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10) d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "ysize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "ysize" for ibody=9 d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09) d(Edge)/d(ysize) check complete with 0 total errors (errmax= 9.3769e-10) d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10) ********************************************************* Starting configuration sensitivity wrt "zsize" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "zsize" for ibody=9 d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09) d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09) d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "diam" for ibody=9 d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09) d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "scale" for ibody=9 d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.042 sec Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions real 0m1.221s user 0m1.204s sys 0m0.640s ++++ set +x data/basic/designL40 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 157 / 180 ) data/basic/designL41.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.0835e-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= 0.00011570 (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= -0.83378320, err= -0.00012135 (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= -0.00024502 (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= 0.83373385, err= 0.00013673 (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= -1.47246325, 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= -0.00024502 (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= 1.3365e-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= 5.8482e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.593 sec Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions real 0m5.026s user 0m5.760s sys 0m0.812s ++++ set +x data/basic/designL41 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 158 / 180 ) data/basic/designL42.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 2.0835e-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= 0.00011570 (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= -0.83378320, err= -0.00012135 (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= -0.00024502 (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= 0.83373385, err= 0.00013673 (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= -1.47246325, 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= -0.00024502 (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= 1.3365e-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= 5.8482e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.657 sec Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions real 0m4.824s user 0m5.644s sys 0m0.848s ++++ set +x data/basic/designL42 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 159 / 180 ) data/basic/designM0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.076 sec Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions real 0m0.883s user 0m0.676s sys 0m0.384s ++++ set +x data/basic/designM0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 160 / 180 ) data/basic/designM1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.007 sec Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions real 0m0.654s user 0m0.480s sys 0m0.300s ++++ set +x data/basic/designM1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 161 / 180 ) data/basic/designM2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.012 sec Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions real 0m0.856s user 0m0.696s sys 0m0.324s ++++ set +x data/basic/designM2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 162 / 180 ) data/basic/designM3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.422 sec Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions real 0m1.979s user 0m1.968s sys 0m0.372s ++++ set +x data/basic/designM3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 163 / 180 ) data/basic/designM4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.393 sec Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions real 0m2.132s user 0m2.160s sys 0m0.432s ++++ set +x data/basic/designM4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 164 / 180 ) data/basic/designN1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 0m0.088s user 0m0.072s sys 0m0.016s ++++ set +x data/basic/designN1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 165 / 180 ) data/basic/designN2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.006 sec Sensitivity checks complete with 0 total errors (max config err= 4.0964e-07) with 0 suppressions real 0m0.333s user 0m0.452s sys 0m0.008s ++++ set +x data/basic/designN2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 166 / 180 ) data/basic/designP0a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.001 sec Sensitivity checks complete with 0 total errors (max config err= 2.1462e-09) with 0 suppressions real 0m0.120s user 0m0.108s sys 0m0.008s ++++ set +x data/basic/designP0a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 167 / 180 ) data/basic/designP0b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.001 sec Sensitivity checks complete with 0 total errors (max config err= 2.7140e-09) with 0 suppressions real 0m0.225s user 0m0.216s sys 0m0.004s ++++ set +x data/basic/designP0b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 168 / 180 ) data/basic/designP0c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.095 sec Sensitivity checks complete with 0 total errors (max config err= 2.3957e-07) with 0 suppressions real 0m0.228s user 0m0.224s sys 0m0.000s ++++ set +x data/basic/designP0c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 169 / 180 ) data/basic/designP1a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.194 sec Sensitivity checks complete with 0 total errors (max config err= 1.0658e-08) with 0 suppressions real 0m0.974s user 0m0.968s sys 0m0.024s ++++ set +x data/basic/designP1a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 170 / 180 ) data/basic/designP1b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.748 sec Sensitivity checks complete with 0 total errors (max config err= 1.4211e-08) with 0 suppressions real 0m1.608s user 0m1.672s sys 0m0.000s ++++ set +x data/basic/designP1b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 171 / 180 ) data/basic/designP1c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.562 sec Sensitivity checks complete with 0 total errors (max config err= 2.2136e-07) with 0 suppressions real 0m3.737s user 0m3.772s sys 0m0.012s ++++ set +x data/basic/designP1c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 172 / 180 ) data/basic/designP2a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.167 sec Sensitivity checks complete with 0 total errors (max config err= 4.4409e-09) with 0 suppressions real 0m1.013s user 0m1.020s sys 0m0.004s ++++ set +x data/basic/designP2a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 173 / 180 ) data/basic/designP2b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.835 sec Sensitivity checks complete with 0 total errors (max config err= 1.1651e-08) with 0 suppressions real 0m2.006s user 0m2.064s sys 0m0.012s ++++ set +x data/basic/designP2b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 174 / 180 ) data/basic/designP2c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 0.729 sec Sensitivity checks complete with 0 total errors (max config err= 2.2187e-07) with 0 suppressions real 0m4.221s user 0m4.296s sys 0m0.000s ++++ set +x data/basic/designP2c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 175 / 180 ) data/basic/designP3a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3a.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "X0" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "Y0" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "R" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "Ytop" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "Ybot" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DX1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DY1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DZ1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DX2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DY2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DZ2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DX3" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DY3" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DZ3" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "S2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 2.050 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m2.062s user 0m1.316s sys 0m0.988s ++++ set +x data/basic/designP3a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 176 / 180 ) data/basic/designP3b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3b.csm --> ocsmCheck() -> status=0 (success) ********************************************************* Starting configuration sensitivity wrt "X0" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "Y0" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "R" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "Ytop" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "Ybot" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DX1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DY1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DZ1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DX2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DY2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DZ2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DX3" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DY3" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "DZ3" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ********************************************************* Starting configuration sensitivity wrt "S2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=25 Sensitivity checks complete with 0 total errors ( finite diffs ) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 2.280 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m2.263s user 0m1.576s sys 0m0.964s ++++ set +x data/basic/designP3b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 177 / 180 ) data/basic/designP3c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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 -> 4.282 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m4.404s user 0m3.724s sys 0m0.960s ++++ set +x data/basic/designP3c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 178 / 180 ) data/basic/designP4a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 5.0923e-07) d(Edge)/d(X1) check complete with 0 total errors (errmax= 5.6713e-07) d(Node)/d(X1) check complete with 0 total errors (errmax= 5.6713e-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= 6.6447e-07) d(Edge)/d(R1) check complete with 0 total errors (errmax= 7.2807e-07) d(Node)/d(R1) check complete with 0 total errors (errmax= 7.2807e-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= 5.0865e-07) d(Edge)/d(X2) check complete with 0 total errors (errmax= 5.5819e-07) d(Node)/d(X2) check complete with 0 total errors (errmax= 5.5819e-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= 3.1374e-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= 2.5831e-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= 2.0706e-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=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= 2.0125e-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= 2.4627e-09) d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.3330e-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= 2.0351e-09) d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.7733e-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=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= 2.0731e-09) d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.4818e-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= 2.0206e-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= 1.3075e-09) ********************************************************* 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= 2.1733e-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= 2.7542e-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 -> 0.048 sec Sensitivity checks complete with 0 total errors (max config err= 7.2807e-07) with 0 suppressions real 0m2.379s user 0m1.636s sys 0m1.040s ++++ set +x data/basic/designP4a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 179 / 180 ) data/basic/designP4b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= 0.02199909 (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= 0.02555589 (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= 0.00001446, 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= -0.00001351, 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= 0.00000793, err= -0.00647068 (at -0.70042392 4.72301019 0.00000000) iedge= 18, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001012, 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= -0.00001351, 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= 0.00000793, err= -0.00647068 (at -0.70042392 4.72301019 6.00000000) iedge= 20, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001012, 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= 0.00000808, 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= 0.00000793, err= -0.00647068 (at 2.29957608 7.72301019 12.00000000) iedge= 22, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001012, 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= 0.00000808, 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= 0.00000793, err= -0.00647068 (at -0.70042392 7.72301019 24.00000000) iedge= 24, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001012, 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= -0.00001286, 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= 5.6713e-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= -0.00389836 (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= -0.00389836 (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= -0.08445118 (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= -0.07714314 (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= 0.00002740, 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= 0.00002740, 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= 0.00002740, 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= 2.75063871, 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= 2.75063871, 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= 2.75063871, 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= 2.75063871, 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= -0.00799499 (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= 0.00002342, err= -0.01527487 (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= -0.00799499 (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= 0.00002342, err= -0.01527487 (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= 0.00151827 (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= 0.00151827 (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= -0.00098928 (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= -0.00098928 (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= 0.00151827 (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= 7.2807e-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= -0.00000037, 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= -0.00000037, 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= -0.02572894 (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= 0.06750123 (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= -0.02350246 (at 3.27703137 7.91633623 10.50000000) ...too many errors to list iface= 9, ipnt= 96 (X): anal= 0.29663775, fd= 0.32219399, err= -0.02555623 (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= 2.10816157, 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= 0.02465251 (at 3.56744546 8.48476474 12.00000000) iedge= 22, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, 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= 0.02465251 (at 0.56744546 8.48476474 24.00000000) iedge= 24, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, 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= 0.00086536 (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= 5.5819e-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= -0.03053261 (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= 2.83317244, 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= -0.00722690 (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= -0.00722690 (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= -0.00722691 (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= 2.83317244, 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= 2.83317244, 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= -1.85022461, 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= -1.85022461, 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= 2.83317244, 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= -1.85022461, 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= -2.03829393, 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= -2.03829393, 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= 3.1397e-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= 4.9994e-09) d(Edge)/d(DY1) check complete with 0 total errors (errmax= 3.0839e-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=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= 2.9742e-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= 3.1397e-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= 4.9994e-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=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= 2.9742e-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= 2.9661e-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= 3.3605e-09) d(Edge)/d(DY3) check complete with 0 total errors (errmax= 2.4864e-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=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= 2.8589e-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 -> 1.589 sec Sensitivity checks complete with 21204 total errors (max config err= 8.4451e-02) with 0 suppressions real 0m9.056s user 0m8.316s sys 0m1.088s ++++ set +x data/basic/designP4b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 180 / 180 ) data/basic/designP4c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/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= -0.07351267 (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= -0.07389484 (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= -0.00002231, 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= 0.00000808, 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= 0.00000793, err= -0.00647068 (at -0.70042392 7.72301019 24.00000000) iedge= 10, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001012, 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= 5.6713e-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= 0.00002744, 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= -0.00000957, 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= -0.08419308 (at 1.36879545 8.70031170 22.81709766) iface= 3, ipnt= 156 (Z): anal= 0.00493440, fd= -0.00000161, err= 0.00493602 (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= 0.00001631, 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= 2.75063871, 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= 2.75063871, 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= -0.01527487 (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= -0.00799499 (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= 0.00002342, err= -0.01527487 (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= 0.00120536 (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= -0.00098928 (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= 0.00151827 (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= 7.2807e-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= 0.07351367 (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= 0.06207090, 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= -0.92877684, err= 0.07367003 (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= -1.11182905, 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= 5.5819e-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= 2.82191075, err= 0.02081353 (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= -0.00660691 (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 -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= -1.85022462, 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= 2.83317244, 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= -1.85022461, 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= -2.03829393, 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= -2.03829393, 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= 5.7496e-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= 6.4322e-08) d(Edge)/d(DY1) check complete with 0 total errors (errmax= 5.7805e-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=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= 1.6985e-07) d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.7993e-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=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= 3.8437e-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= 3.6881e-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=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= 7.9131e-08) d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.7576e-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 -> 1.047 sec Sensitivity checks complete with 21250 total errors (max config err= 8.4451e-02) with 0 suppressions real 0m8.432s user 0m7.636s sys 0m1.184s ++++ set +x data/basic/designP4c -config passed (as expected) -------------------------------------------------------------------------------------------------- ================================ Found errors ================================ ================================================================================================== [Execution node] check if [reynolds] 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: '/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64') [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: '/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64') [Clang (LLVM based)] Successfully parsed console log [Clang (LLVM based)] -> found 0 issues (skipped 0 duplicates) [Clang (LLVM based)] Skipping post processing [Clang (LLVM based)] No filter has been set, publishing all 0 issues [Clang (LLVM based)] Repository miner is not configured, skipping mining [Static Analysis] Reference build recorder is not configured [Static Analysis] Obtaining reference build from same job (7.3,LINUX64,reynolds) [Static Analysis] Using reference build 'ESP_QuickTestOcsm/CASREV=7.3,ESP_ARCH=LINUX64,buildnode=reynolds #165' to compute new, fixed, and outstanding issues [Static Analysis] Issues delta (vs. reference build): outstanding: 0, new: 0, fixed: 0 [Static Analysis] Evaluating quality gates [Static Analysis] -> PASSED - Total (any severity): 0 - Quality QualityGate: 1 [Static Analysis] -> All quality gates have been passed [Static Analysis] Health report is disabled - skipping [Static Analysis] Created analysis result for 0 issues (found 0 new issues, fixed 0 issues) [Static Analysis] Attaching ResultAction with ID 'analysis' to build 'ESP_QuickTestOcsm/CASREV=7.3,ESP_ARCH=LINUX64,buildnode=reynolds #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