![[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/7.4/sensCSM/config/LINUX64 [WS-CLEANUP] Deleting project workspace... [WS-CLEANUP] Done Cleaning up /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/circle1_dot Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/circle2_dot Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/naca_dot Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/ruled_naca_dot Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/tire Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/tire.o Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/tire.so Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/udpTire.o Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial/egads2tri Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial/egads2tri.o Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial/tire Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/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/7.4/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/7.4/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/7.4/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/7.4/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/7.4/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/jenkins6103220121546326428.sh + export NOCAPS=true + NOCAPS=true + source /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/JenkinsESP/ESP_Regression.sh ++ source /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64 +++ ESP_BLOC=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64 +++ export ESP_ROOT=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64 +++ ESP_ROOT=/jenkins/workspace/ESP_QuickTestOcsm/7.4/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-7.4.1 +++ CASROOT=/home/jenkins/util/ESP/OpenCASCADE-7.4.1 +++ export CASARCH=. +++ CASARCH=. +++ export LD_LIBRARY_PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.4.1/lib:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib: +++ LD_LIBRARY_PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.4.1/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 +++++++ grep gcc +++++++ sed -e 's/^\ //' +++++++ egrep -o ' [0-9]+\.[0-9]+\.[0-9]+.*' ++++++ __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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.4.1/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.4.1/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/7.4/sensCSM/config/LINUX64/CAPS/aim/pointwise/glyph +++ CAPS_GLYPH=/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/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/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ export PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/pyEGADS:/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin +++ PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/pyEGADS:/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/OpenCSM/trunk/data +++ CSMDATA=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/OpenCSM/trunk/data ++ source /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/JenkinsESP/ESPbfr.sh +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ +++ tar -xvf /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP_venv created virtual environment CPython3.7.7.final.0-64 in 249ms creator CPython3Posix(dest=/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP_venv/bin/activate ++++ '[' /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP_venv/bin/activate = /tmp/jenkins6103220121546326428.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/7.4/sensCSM/config/LINUX64/ESP_venv ++++ export VIRTUAL_ENV ++++ _OLD_VIRTUAL_PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP_venv/bin:/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP_venv ++++ PS1='(ESP_venv) ' ++++ export PS1 ++++ alias pydoc ++++ true ++++ '[' -n /bin/bash ']' ++++ hash -r +++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/ +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/EGADS/trunk/src +++ make touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/LINUX64 rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/LINUX64 cp -p ../include/LINUX64 /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/LINUX64 g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD1 -O -I. ../util/SurrealD1_btest.cpp /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD1 SurrealD1_test_suite Complete! g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD4 -O -I. ../util/SurrealD4_btest.cpp /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD4 SurrealD4_test_suite Complete! g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS1 -O -I. ../util/SurrealS1_btest.cpp /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS1 SurrealS1_test_suite Complete! g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS4 SurrealS4_test_suite Complete! (cd ../util; make) make[1]: Entering directory '/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 uvmap/main/uvmap.c -Iuvmap \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_cpu_message.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_bnd_adj.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_ibfibf.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/EG_uvmap_test.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_message.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_version.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_ibfin.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/EG_uvmap_find_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_test.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_gen.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_find_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_read.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_iccin.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_add.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/EG_uvmap_struct_free.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_gen_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/EG_uvmap_read.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_struct_tasks.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_idibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_inibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_write.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_from_egads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_chk_area_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_norm_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_malloc.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/EG_uvmap_write.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_ibeibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_iccibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_to_egads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/EG_uvmap_gen.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_mben_disc.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_solve.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. uvmap/uvmap_inl_uv_bnd.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 egadsUVmap.c -Iuvmap \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsUVmap.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a (cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/uvmap.exe /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -luvmap -lrt -lm make[1]: Leaving directory '/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include \ -I. egadsGeom.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include \ -I. egadsHLevel.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include \ -I. egadsTopo.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include \ -I. egadsCopy.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include \ -I. egadsSpline.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include \ -I. egadsIO.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include \ -I. egadsSplineFit.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include \ -I. egadsSkinning.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include \ -I. egadsTessSens.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include \ -I. BRepLib_FuseEdges.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsBase.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsMemory.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsAttrs.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsTessInp.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsTris.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsQuads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsFit.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsRobust.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsSBO.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ prmCfit.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ prmGrid.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ prmUV.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsExport.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsEffect.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include -I../util \ egadsSolids.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -DLINUX64 -I../include ../util/emp.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I. -I../include \ ../util/evaluate.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I. -I../include \ ../util/rational.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.4.1 -I../include -I../include -I../util \ ../util/regQuads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/regQuads.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegads.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegads.so (cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj; gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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-7.4.1/./lib -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a cp /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a (cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj; \ ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include fgadsBase.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include fgadsMemory.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include fgadsAttrs.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include fgadsTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include fgadsHLevel.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include fgadsGeom.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I../include fgadsTopo.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsTopo.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a (cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a (cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a emp.o; ) ar: creating /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.h cp -p ../include/egads.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egads_dot.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egads_dot.h cp -p ../include/egads_dot.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egads_dot.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.inc rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.inc cp -p ../include/egads.inc /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.inc touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsErrors.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsErrors.h cp -p ../include/egadsErrors.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsErrors.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTypes.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTypes.h cp -p ../include/egadsTypes.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTypes.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/emp.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/emp.h cp -p ../include/emp.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/emp.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/prm.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/prm.h cp -p ../include/prm.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/prm.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.h cp -p ../include/wsserver.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.inc rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.inc cp -p ../include/wsserver.inc /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.inc touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/wsss.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/wsss.h cp -p ../include/wsss.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/wsss.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTris.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTris.h cp -p egadsTris.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTris.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineFit.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineFit.h cp -p egadsSplineFit.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineFit.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineVels.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineVels.h cp -p egadsSplineVels.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineVels.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsf90.inc rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsf90.inc cp -p ../include/egadsf90.inc /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsf90.inc mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealD.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealD.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealD_Lazy.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealD_Lazy.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealD_Trad.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealD_Trad.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealS.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealS.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealS_Lazy.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealS_Lazy.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/SurrealS_Trad.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealS_Trad.h mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal cp Surreal/always_inline.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/always_inline.h *** EGADS Build Complete! *** +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include base64-decode.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include handshake.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include client-handshake.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include libwebsockets.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include extension-deflate-stream.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include md5.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include extension-x-google-mux.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include parsers.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include extension.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include sha-1.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include browserMessage.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include server.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include wv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include fwv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fwv.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libwsserver.a rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libwsserver.a (cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/servertest.o gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/server /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/servertest.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver \ -lpthread -lz -lm +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include addKnots.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/addKnots.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/addKnots /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/addKnots.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include agglom.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/agglom.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/agglom /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/agglom.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include approx.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/approx.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/approx /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/approx.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include blend.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/blend.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/blend /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/blend.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include BSplineIGES.c -o \ /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/BSplineIGES.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/BSplineIGES /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/BSplineIGES.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include chamfer.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/chamfer.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/chamfer /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/chamfer.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include closure.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/closure.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/closure /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/closure.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include CSys.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/CSys.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/CSys /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/CSys.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include edge2WB.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/edge2WB.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/edge2WB /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/edge2WB.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include edges.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/edges.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/edges /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/edges.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include effective.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/effective.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/effective /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/effective.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include egads2cart.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2cart.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/egads2cart /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2cart.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. egads2ply.cpp -std=c++11 \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I. tinyply.cpp -std=c++11 -w \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/tinyply.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/egads2ply /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2ply.o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/tinyply.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include egadsGeom_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsGeom_dot.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsGeom_dot /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsGeom_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include egadsHLevel_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsHLevel_dot.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsHLevel_dot /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsHLevel_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include egadsSpline_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSpline_dot.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsSpline_dot /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSpline_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include egadsTopo_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTopo_dot.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsTopo_dot /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTopo_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include ../src/egadsExport.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/exportLite.o -DSTANDALONE g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/exportLite /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/exportLite.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include extrot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/extrot.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/extrot /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/extrot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include fillet.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fillet.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/fillet /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fillet.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include fit.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fit.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/fit /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fit.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include fitTri.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fitTri.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/fitTri /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fitTri.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include fullAttr.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fullAttr.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/fullAttr /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fullAttr.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include fuseSheets.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fuseSheets.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/fuseSheets /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/fuseSheets.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include GBO.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/GBO.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/GBO /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/GBO.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include globalTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/globalTess.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/globalTess /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/globalTess.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include hollowFace.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollowFace.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/hollowFace /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollowFace.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include hollow.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollow.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/hollow /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollow.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include intersect.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/intersect.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/intersect /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/intersect.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include makeCone.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeCone.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/makeCone /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeCone.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include makeFace3D.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeFace3D.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/makeFace3D /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeFace3D.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include makeLoop.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeLoop.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/makeLoop /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeLoop.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include mapTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/mapTess.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/mapTess /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/mapTess.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include mofb.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/mofb.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/mofb /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/mofb.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include mssb.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/mssb.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/mssb /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/mssb.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include multiContext.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/multiContext.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/multiContext /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/multiContext.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include offset.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/offset.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/offset /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/offset.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include rebuild.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/rebuild.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/rebuild /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/rebuild.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include ref.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/ref.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/ref /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/ref.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include replace.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/replace.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/replace /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/replace.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include revolve.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/revolve.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/revolve /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/revolve.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include ruled.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/ruled /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include SBO.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/SBO.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/SBO /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/SBO.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include scribe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/scribe.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/scribe /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/scribe.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include sew.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/sew.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/sew /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/sew.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include smallEdges.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/smallEdges.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/smallEdges /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/smallEdges.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include step.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/step.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/step /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/step.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include sweep.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/sweep.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/sweep /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/sweep.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include testc.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/testc.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/testc /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/testc.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include testf.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/testf.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/testf /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/testf.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include parsec.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsec.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/parsec /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsec.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include parsef.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsef.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/parsef /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsef.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include tolerance.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/tolerance.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/tolerance /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/tolerance.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include union.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/union.o gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/union /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/union.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include vAttr.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vAttr.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/vAttr /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vAttr.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include vCurvature.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vCurvature.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/vCurvature /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vCurvature.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include vEffect.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEffect.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/vEffect /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEffect.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include vEto.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEto.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/vEto /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEto.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include vFrame.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vFrame.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/vFrame /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vFrame.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include vGeom.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vGeom.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/vGeom /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vGeom.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include vQuad.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vQuad.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/vQuad /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vQuad.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include vTessInp.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTessInp.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/vTessInp /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTessInp.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include vTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include ../util/retessFaces.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/retessFaces.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/vTesstatic /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTess.o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/retessFaces.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legadstatic -L/home/jenkins/util/ESP/OpenCASCADE-7.4.1/./lib -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/vTess /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTess.o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/retessFaces.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include xform.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/xform.o g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/test/xform /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/xform.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include tire.c g++ -m64 -g -o tire tire.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include egads2tri.c g++ -m64 -g -o egads2tri egads2tri.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. circle1_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. pingBodies.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o gcc -m64 -g -o circle1_dot /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle1_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. circle2_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle2_dot.o gcc -m64 -g -o circle2_dot /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle2_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. naca_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca_dot.o gcc -m64 -g -o naca_dot /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. ruled_naca_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled_naca_dot.o gcc -m64 -g -o ruled_naca_dot /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled_naca_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt +++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. serveCSM.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. OpenCSM.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udp.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udp.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libocsm.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libocsm.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/libocsm.so \ /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/OpenCSM.o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udp.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -ldl -lm gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/bin/serveCSM /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/serveCSM.o -lrt -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. sensCSM.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/sensCSM.o gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/sensCSM.o -lrt -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpBezier.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBezier.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/bezier.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/bezier.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/bezier.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBezier.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpBiconvex.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBiconvex.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/biconvex.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/biconvex.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/biconvex.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBiconvex.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpBox.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBox.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/box.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/box.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/box.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBox.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCatmull.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCatmull.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/catmull.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/catmull.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/catmull.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCatmull.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCompare.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCompare.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/compare.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/compare.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/compare.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCompare.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCreateBEM.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreateBEM.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/createBEM.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/createBEM.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/createBEM.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreateBEM.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCreatePoly.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreatePoly.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/createPoly.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/createPoly.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/createPoly.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreatePoly.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpCsm.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpCsm.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/csm.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/csm.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/csm.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpCsm.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfDroop.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfDroop.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/droop.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/droop.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/droop.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfDroop.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfEditAttr.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfEditAttr.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/editAttr.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/editAttr.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/editAttr.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfEditAttr.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpEllipse.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpEllipse.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/ellipse.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/ellipse.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/ellipse.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpEllipse.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpFitcurve.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFitcurve.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/fitcurve.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/fitcurve.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/fitcurve.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFitcurve.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpFreeform.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFreeform.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/freeform.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/freeform.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/freeform.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFreeform.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfFlend.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfFlend.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/flend.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/flend.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/flend.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfFlend.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfGanged.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGanged.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/ganged.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/ganged.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/ganged.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGanged.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfGuide.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGuide.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/guide.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/guide.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/guide.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGuide.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfMatchBodys.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfMatchBodys.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/matchBodys.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/matchBodys.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/matchBodys.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfMatchBodys.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpHex.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpHex.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/hex.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/hex.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/hex.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpHex.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpImport.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpImport.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/import.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/import.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/import.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpImport.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpKulfan.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpKulfan.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/kulfan.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/kulfan.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/kulfan.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpKulfan.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpNaca.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpNurbbody.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNurbbody.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/nurbbody.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/nurbbody.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/nurbbody.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNurbbody.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpParsec.cpp \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpParsec.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/parsec.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/parsec.so g++ -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/parsec.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpParsec.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpPod.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPod.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/pod.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/pod.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/pod.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPod.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpPoly.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPoly.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/poly.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/poly.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/poly.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPoly.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfPrintBbox.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBbox.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBbox.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBbox.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBbox.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBbox.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfPrintBrep.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBrep.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBrep.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBrep.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBrep.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBrep.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpRadwaf.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpRadwaf.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/radwaf.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/radwaf.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/radwaf.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpRadwaf.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpSample.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSample.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/sample.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/sample.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/sample.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSample.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpSew.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSew.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/sew.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/sew.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/sew.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSew.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpStag.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpStag.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/stag.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/stag.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/stag.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpStag.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfStiffener.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfStiffener.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/stiffener.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/stiffener.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/stiffener.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfStiffener.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpSupell.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSupell.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/supell.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/supell.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/supell.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSupell.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpWaffle.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpWaffle.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/waffle.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/waffle.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/waffle.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpWaffle.o \ -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. eggPDT2.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/eggPDT2.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/PDT2.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/PDT2.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/PDT2.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/eggPDT2.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpNaca456.c \ -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca456.o gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer naca456.f90 -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca456.o -J /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca456.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca456.so gfortran -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca456.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca456.o \ /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca456.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/OpenCSM.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/OpenCSM.h cp -p OpenCSM.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/OpenCSM.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/common.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/common.h cp -p common.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/common.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/udp.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/udp.h cp -p udp.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/udp.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egg.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egg.h cp -p egg.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/egg.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.h rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.h cp -p udpUtilities.h /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.h touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.c rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.c cp -p udpUtilities.c /jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -DLINUX386 -D__UNIX__ -DSTRICMP -DUSLEEP -DTIMES -DRAND -DIRIT_HAVE_XML_LIB -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include -I. -I/home/jenkins/util/ESP/IRIT/irit-sm udfTile.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfTile.o touch /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/tile.so rm /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/tile.so gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib/tile.so /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfTile.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/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=7.4 -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64/include udpTire.c -o tire.o gcc -m64 -g -o tire tire.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.4/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=7.4 -DUDP -I/jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt +++ [[ true == '' ]] +++ ln -f -s /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/OpenCSM/trunk/udc /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/LINUX64 ++++ find /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/OpenCSM/trunk/data/training/ -name Makefile ++ mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/test ++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/test ++ source /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/JenkinsESP/RunRegression.sh +++ [[ 0 == 1 ]] +++ [[ 0 == 2 ]] +++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64 == '' ]] +++ [[ sensCSM/config == '' ]] +++ [[ 7.4 == '' ]] +++ [[ ! -d /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/sensCSM/config/LINUX64/ESP/test /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/OpenCSM ++++ local source=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/test ++++ local target=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/OpenCSM ++++ local common_part=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP/test ++++ local result= ++++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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\.\4\/\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/7.4/sensCSM/config/LINUX64/ESP/test ++++ common_part=/jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/ESP ++++ [[ -z '' ]] ++++ local result=.. ++++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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\.\4\/\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/7.4/sensCSM/config/LINUX64/ESP ++++ common_part=/jenkins/workspace/ESP_QuickTestOcsm/7.4/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\.\4\/\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/7.4/sensCSM/config/LINUX64 == \/ ]] ++++ forward_part=/OpenCSM ++++ [[ -n ../.. ]] ++++ [[ -n /OpenCSM ]] ++++ local result=../../OpenCSM ++++ echo ../../OpenCSM +++ export OPENCSM=../../OpenCSM +++ OPENCSM=../../OpenCSM +++ find ../../OpenCSM/trunk/data/basic -name 'design*.csm' +++ sort -f +++ source /jenkins/workspace/ESP_QuickTestOcsm/7.4/sensCSM/config/LINUX64/JenkinsESP/splitCSMFiles.sh ++++ [[ -n '' ]] +++ export SENS=-config +++ SENS=-config +++ cp /jenkins/workspace/ESP_QuickTestOcsm/7.4/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/7.4/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 -> 0.071 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.822s user 0m1.108s sys 0m0.064s ++++ set +x data/basic/design0a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 2 / 180 ) data/basic/design0b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.091 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m0.198s user 0m0.236s sys 0m0.012s ++++ set +x data/basic/design0b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 3 / 180 ) data/basic/design0c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.021 sec Sensitivity checks complete with 0 total errors (max config err= 1.9407e-06) with 0 suppressions real 0m1.061s user 0m1.852s sys 0m0.128s ++++ set +x data/basic/design0c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 4 / 180 ) data/basic/design0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.220s user 0m0.216s sys 0m0.004s ++++ set +x data/basic/design0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 5 / 180 ) data/basic/design0d.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.004 sec Sensitivity checks complete with 0 total errors (max config err= 2.7956e-10) with 0 suppressions real 0m0.121s user 0m0.112s sys 0m0.012s ++++ set +x data/basic/design0d -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 6 / 180 ) data/basic/design0e.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.002 sec Sensitivity checks complete with 8 total errors (max config err= 4.0350e-04) with 0 suppressions real 0m0.184s user 0m0.180s sys 0m0.004s ++++ set +x data/basic/design0e -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 7 / 180 ) data/basic/design0f.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.030 sec Sensitivity checks complete with 36 total errors (max config err= 2.0400e-04) with 0 suppressions real 0m0.284s user 0m0.340s sys 0m0.008s ++++ set +x data/basic/design0f -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 8 / 180 ) data/basic/design0g.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 6.803 sec Sensitivity checks complete with 9664 total errors (max config err= 4.4291e-03) with 0 suppressions real 0m15.607s user 0m16.400s sys 0m0.020s ++++ set +x data/basic/design0g -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 9 / 180 ) data/basic/design0h.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.516s user 0m0.504s sys 0m0.008s ++++ set +x data/basic/design0h -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 10 / 180 ) data/basic/design0i.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.281s user 0m0.408s sys 0m0.012s ++++ set +x data/basic/design0i -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 11 / 180 ) data/basic/design0j.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.455 sec Sensitivity checks complete with 227 total errors (max config err= 3.6717e-04) with 0 suppressions real 0m5.106s user 0m5.160s sys 0m0.012s ++++ set +x data/basic/design0j -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 12 / 180 ) data/basic/design0k.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.616 sec Sensitivity checks complete with 2168 total errors (max config err= 6.8678e-04) with 0 suppressions real 0m27.853s user 0m27.968s sys 0m0.020s ++++ set +x data/basic/design0k -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 13 / 180 ) data/basic/design0m.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.217s user 0m0.212s sys 0m0.004s ++++ set +x data/basic/design0m -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 14 / 180 ) data/basic/design0n1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.047 sec Sensitivity checks complete with 83 total errors (max config err= 2.0377e-04) with 0 suppressions real 0m0.401s user 0m0.572s sys 0m0.004s ++++ set +x data/basic/design0n1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 15 / 180 ) data/basic/design0n2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.352 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m0.589s user 0m0.764s sys 0m0.000s ++++ set +x data/basic/design0n2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 16 / 180 ) data/basic/design0n3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.228 sec Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions real 0m0.475s user 0m0.644s sys 0m0.008s ++++ set +x data/basic/design0n3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 17 / 180 ) data/basic/design0n4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.163 sec Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions real 0m0.436s user 0m0.564s sys 0m0.004s ++++ set +x data/basic/design0n4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 18 / 180 ) data/basic/design0o1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.319 sec Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions real 0m1.185s user 0m1.444s sys 0m0.012s ++++ set +x data/basic/design0o1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 19 / 180 ) data/basic/design0o2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 2.084 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m2.522s user 0m2.764s sys 0m0.020s ++++ set +x data/basic/design0o2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 20 / 180 ) data/basic/design0o3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.323 sec Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions real 0m1.229s user 0m1.492s sys 0m0.008s ++++ set +x data/basic/design0o3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 21 / 180 ) data/basic/design0o4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.935 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m2.369s user 0m2.596s sys 0m0.004s ++++ set +x data/basic/design0o4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 22 / 180 ) data/basic/design0p.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.117s user 0m0.108s sys 0m0.004s ++++ set +x data/basic/design0p -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 23 / 180 ) data/basic/design0q.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.141 sec Sensitivity checks complete with 0 total errors (max config err= 4.4019e-07) with 0 suppressions real 0m0.541s user 0m0.544s sys 0m0.004s ++++ set +x data/basic/design0q -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 24 / 180 ) data/basic/design0r.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 1.5655e-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= 1.7411e-10) d(Node)/d(dx1) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "dy1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "dy1" for ibody=11 d(Face)/d(dy1) check complete with 0 total errors (errmax= 1.3978e-10) d(Edge)/d(dy1) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(dy1) check complete with 0 total errors (errmax= 1.3978e-10) ********************************************************* Starting configuration sensitivity wrt "dz1" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "dz1" for ibody=11 d(Face)/d(dz1) check complete with 0 total errors (errmax= 5.1324e-07) d(Edge)/d(dz1) check complete with 0 total errors (errmax= 6.9612e-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= 1.2242e-07) d(Edge)/d(size2) check complete with 0 total errors (errmax= 1.6239e-07) d(Node)/d(size2) check complete with 0 total errors (errmax= 1.6239e-07) ********************************************************* Starting configuration sensitivity wrt "angl2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "angl2" for ibody=11 d(Face)/d(angl2) check complete with 0 total errors (errmax= 4.0895e-10) iedge= 11, ipnt= 1 (X): anal= -0.00530163, fd= 0.00000000, err= -0.00530163 (at 0.60000000 0.95274829 -0.30376093) iedge= 11, ipnt= 2 (X): anal= -0.00356588, fd= 0.00000000, err= -0.00356588 (at 0.60000000 0.97890631 -0.20430964) iedge= 11, ipnt= 3 (X): anal= -0.00179242, fd= 0.00000000, err= -0.00179242 (at 0.60000000 0.99471260 -0.10269783) iedge= 11, ipnt= 5 (X): anal= 0.00179242, fd= 0.00000000, err= 0.00179242 (at 0.60000000 0.99471260 0.10269783) iedge= 11, ipnt= 6 (X): anal= 0.00356588, fd= 0.00000000, err= 0.00356588 (at 0.60000000 0.97890631 0.20430964) iedge= 11, ipnt= 7 (X): anal= 0.00530163, fd= 0.00000000, err= 0.00530163 (at 0.60000000 0.95274829 0.30376093) iedge= 13, ipnt= 1 (X): anal= -0.00530163, fd= 0.00000000, err= -0.00530163 (at 1.40000000 0.95274829 -0.30376093) iedge= 13, ipnt= 2 (X): anal= -0.00356588, fd= 0.00000000, err= -0.00356588 (at 1.40000000 0.97890631 -0.20430964) iedge= 13, ipnt= 3 (X): anal= -0.00179242, fd= 0.00000000, err= -0.00179242 (at 1.40000000 0.99471260 -0.10269783) iedge= 13, ipnt= 5 (X): anal= 0.00179242, fd= 0.00000000, err= 0.00179242 (at 1.40000000 0.99471260 0.10269783) iedge= 13, ipnt= 6 (X): anal= 0.00356588, fd= 0.00000000, err= 0.00356588 (at 1.40000000 0.97890631 0.20430964) iedge= 13, ipnt= 7 (X): anal= 0.00530163, fd= 0.00000000, err= 0.00530163 (at 1.40000000 0.95274829 0.30376093) d(Edge)/d(angl2) check complete with 12 total errors (errmax= 5.3016e-03) d(Node)/d(angl2) check complete with 0 total errors (errmax= 2.9406e-10) ********************************************************* Starting configuration sensitivity wrt "dx2" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "dx2" for ibody=11 d(Face)/d(dx2) check complete with 0 total errors (errmax= 1.0167e-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= 5.2301e-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= 1.2800e-10) d(Edge)/d(dz) check complete with 0 total errors (errmax= 1.3978e-10) d(Node)/d(dz) check complete with 0 total errors (errmax= 8.2267e-11) ********************************************************* Starting configuration sensitivity wrt "sfac" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=11 Computing finite difference sensitivities for ibody=11 Comparing configuration sensitivities wrt "sfac" for ibody=11 d(Face)/d(sfac) check complete with 0 total errors (errmax= 1.9235e-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 -> 0.099 sec Sensitivity checks complete with 12 total errors (max config err= 5.3016e-03) with 0 suppressions real 0m2.657s user 0m3.664s sys 0m0.340s ++++ set +x data/basic/design0r -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 25 / 180 ) data/basic/design0s.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.003 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.119s user 0m0.128s sys 0m0.008s ++++ set +x data/basic/design0s -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 26 / 180 ) data/basic/design0t1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.116s user 0m0.112s sys 0m0.008s ++++ set +x data/basic/design0t1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 27 / 180 ) data/basic/design0t2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.079 sec Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions real 0m0.288s user 0m0.312s sys 0m0.012s ++++ set +x data/basic/design0t2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 28 / 180 ) data/basic/design0t3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.077 sec Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions real 0m0.311s user 0m0.328s sys 0m0.020s ++++ set +x data/basic/design0t3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 29 / 180 ) data/basic/design0u.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.061s user 0m0.056s sys 0m0.004s ++++ set +x data/basic/design0u -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 30 / 180 ) data/basic/design0v.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.012 sec Sensitivity checks complete with 1188 total errors (max config err= 4.6646e-04) with 0 suppressions real 0m0.185s user 0m0.200s sys 0m0.008s ++++ set +x data/basic/design0v -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 31 / 180 ) data/basic/design0w.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 2.544 sec Sensitivity checks complete with 8470 total errors (max config err= 7.7165e-03) with 0 suppressions real 0m10.233s user 0m10.376s sys 0m0.008s ++++ set +x data/basic/design0w -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 32 / 180 ) data/basic/design1a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.042 sec Sensitivity checks complete with 0 total errors (max config err= 4.1933e-10) with 0 suppressions real 0m0.594s user 0m0.924s sys 0m0.028s ++++ set +x data/basic/design1a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 33 / 180 ) data/basic/design1b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.075 sec Sensitivity checks complete with 0 total errors (max config err= 2.5648e-09) with 0 suppressions real 0m2.352s user 0m2.964s sys 0m0.128s ++++ set +x data/basic/design1b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 34 / 180 ) data/basic/design2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 29.477 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m28.141s user 0m30.476s sys 0m0.908s ++++ set +x data/basic/design2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 35 / 180 ) data/basic/design3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 8.233 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m6.403s user 0m9.240s sys 0m0.368s ++++ set +x data/basic/design3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 36 / 180 ) data/basic/design4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.066 sec Sensitivity checks complete with 0 total errors (max config err= 2.4663e-09) with 0 suppressions real 0m2.347s user 0m2.984s sys 0m0.172s ++++ set +x data/basic/design4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 37 / 180 ) data/basic/design5.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 874.816 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m59.393s user 2m15.828s sys 13m39.964s ++++ set +x data/basic/design5 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 38 / 180 ) data/basic/design6.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 8.805 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m10.283s user 0m11.052s sys 0m0.052s ++++ set +x data/basic/design6 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 39 / 180 ) data/basic/design7.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 52.637 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m38.886s user 0m56.724s sys 0m1.144s ++++ set +x data/basic/design7 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 40 / 180 ) data/basic/design8a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.027 sec Sensitivity checks complete with 0 total errors (max config err= 1.9626e-08) with 0 suppressions real 0m0.298s user 0m0.384s sys 0m0.040s ++++ set +x data/basic/design8a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 41 / 180 ) data/basic/design8b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.026 sec Sensitivity checks complete with 0 total errors (max config err= 9.6589e-08) with 0 suppressions real 0m0.282s user 0m0.332s sys 0m0.060s ++++ set +x data/basic/design8b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 42 / 180 ) data/basic/design8c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.069 sec Sensitivity checks complete with 36 total errors (max config err= 2.4274e-04) with 0 suppressions real 0m0.864s user 0m1.396s sys 0m0.236s ++++ set +x data/basic/design8c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 43 / 180 ) data/basic/design8.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.004 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.122s user 0m0.132s sys 0m0.004s ++++ set +x data/basic/design8 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 44 / 180 ) data/basic/design8d.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.020 sec Sensitivity checks complete with 0 total errors (max config err= 2.0717e-06) with 0 suppressions real 0m1.142s user 0m1.568s sys 0m0.092s ++++ set +x data/basic/design8d -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 45 / 180 ) data/basic/design9.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 1.5844e-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= 2.5696e-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= 6.3891e-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= 6.4104e-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= 1.0502e-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= 4.5879e-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= 8.5362e-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= 1.1390e-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= 5.8819e-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= 1.6304e-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= 7.2449e-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= 9.8654e-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= 9.8720e-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= 1.1006e-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= 1.2666e-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= 6.7659e-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= 2.3245e-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= 7.5117e-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= 7.5090e-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= 6.9610e-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= 4.3469e-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= 8.3302e-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= 8.3425e-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= 3.7498e-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= 5.1621e-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= 5.0949e-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= 8.4238e-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= 8.4320e-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= 4.7630e-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= 6.3747e-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= 7.7749e-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= 7.7726e-05) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.6648e-05) d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.1321e-05) ********************************************************* Starting configuration sensitivity wrt "fuse[11,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[11,1]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.5502e-08) d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0131e-06) d(Node)/d(fuse) check complete with 0 total errors (errmax= 4.1564e-07) ********************************************************* Starting configuration sensitivity wrt "fuse[11,2]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[11,2]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.9769e-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= 440 (Z): anal= 0.00197537, fd= 0.00167699, err= 0.00029838 (at 11.23157931 0.02615214 0.59830887) iface= 1, ipnt= 448 (Z): anal= 0.00505629, fd= 0.00478797, err= 0.00026833 (at 11.25673200 0.04503226 0.59605781) iface= 2, ipnt= 435 (Z): anal= 0.00744421, fd= 0.00723486, err= 0.00020935 (at 11.24990384 -0.05541909 0.59432713) iface= 2, ipnt= 439 (Z): anal= 0.00113822, fd= 0.00088041, err= 0.00025781 (at 11.25319785 -0.01912036 0.59881127) d(Face)/d(fuse) check complete with 4 total errors (errmax= 2.9838e-04) iedge= 5, ipnt= 3 (Z): anal= 0.00019694, fd= 0.00008887, err= 0.00010807 (at 11.30340357 0.00620438 0.59931181) iedge= 5, ipnt= 4 (Z): anal= 0.00035410, fd= 0.00020235, err= 0.00015176 (at 11.30900150 0.00938855 0.59922686) iedge= 5, ipnt= 5 (Z): anal= 0.00062743, fd= 0.00042872, err= 0.00019871 (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= 440 (Z): anal= 0.88794475, fd= 0.88824250, err= -0.00029775 (at 11.23157931 0.02615214 0.59830887) iface= 1, ipnt= 448 (Z): anal= 0.85073428, fd= 0.85100199, err= -0.00026771 (at 11.25673200 0.04503226 0.59605781) iface= 2, ipnt= 435 (Z): anal= 0.84436018, fd= 0.84456905, err= -0.00020887 (at 11.24990384 -0.05541909 0.59432713) iface= 2, ipnt= 439 (Z): anal= 0.87344209, fd= 0.87369927, err= -0.00025718 (at 11.25319785 -0.01912036 0.59881127) d(Face)/d(fuse) check complete with 4 total errors (errmax= 2.9775e-04) iedge= 5, ipnt= 3 (Z): anal= 0.83832862, fd= 0.83843636, err= -0.00010774 (at 11.30340357 0.00620438 0.59931181) iedge= 5, ipnt= 4 (Z): anal= 0.83375791, fd= 0.83390826, err= -0.00015035 (at 11.30900150 0.00938855 0.59922686) iedge= 5, ipnt= 5 (Z): anal= 0.82259973, fd= 0.82279660, err= -0.00019687 (at 11.32078863 0.01375901 0.59905447) iedge= 5, ipnt= 6 (Z): anal= 0.77122003, fd= 0.77146938, err= -0.00024935 (at 11.36630598 0.02350197 0.59844446) iedge= 5, ipnt= 7 (Z): anal= 0.66883594, fd= 0.66906754, err= -0.00023160 (at 11.44943924 0.03349792 0.59751871) iedge= 5, ipnt= 8 (Z): anal= 0.55828707, fd= 0.55847293, err= -0.00018586 (at 11.53330408 0.03997386 0.59678292) iedge= 5, ipnt= 9 (Z): anal= 0.44419593, fd= 0.44432644, err= -0.00013051 (at 11.61743995 0.04457716 0.59621498) iedge= 5, ipnt= 25 (Z): anal= -0.00644605, fd= -0.00634135, err= -0.00010471 (at 12.96822054 0.03907570 0.59744662) iedge= 14, ipnt= 25 (Z): anal= 0.37035216, fd= 0.37046414, err= -0.00011199 (at 11.67209398 -0.04686828 0.59592650) iedge= 14, ipnt= 26 (Z): anal= 0.49516528, fd= 0.49532592, err= -0.00016063 (at 11.57994604 -0.04270852 0.59644854) iedge= 14, ipnt= 27 (Z): anal= 0.61864105, fd= 0.61885331, err= -0.00021226 (at 11.48801832 -0.03677592 0.59715761) iedge= 14, ipnt= 28 (Z): anal= 0.73495982, fd= 0.73520856, err= -0.00024874 (at 11.39662208 -0.02779405 0.59808174) iedge= 14, ipnt= 29 (Z): anal= 0.82323024, fd= 0.82342703, err= -0.00019679 (at 11.32018692 -0.01356766 0.59906334) iedge= 14, ipnt= 30 (Z): anal= 0.83752824, fd= 0.83765055, err= -0.00012231 (at 11.30495379 -0.00730233 0.59928647) d(Edge)/d(fuse) check complete with 14 total errors (errmax= 2.4935e-04) d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.9651e-05) ********************************************************* Starting configuration sensitivity wrt "fuse[12,1]" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "fuse[12,1]" for ibody=84 d(Face)/d(fuse) check complete with 0 total errors (errmax= 5.7429e-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= 464 (Z): anal= 1.04072659, fd= 1.04096512, err= -0.00023853 (at 13.88948897 0.05852720 0.00576835) iface= 1, ipnt= 481 (Z): anal= 0.55859693, fd= 0.55873096, err= -0.00013403 (at 13.94474447 0.02940482 0.00144883) iface= 1, ipnt= 649 (Z): anal= 1.63049429, fd= 1.63028329, err= 0.00021100 (at 13.47689156 0.11401613 0.02250134) iface= 1, ipnt= 726 (Z): anal= 1.12408656, fd= 1.12394235, err= 0.00014421 (at 13.30582220 0.11050690 0.02108269) iface= 1, ipnt= 733 (Z): anal= 1.74538050, fd= 1.74516148, err= 0.00021902 (at 13.66499951 0.11702560 0.02376469) iface= 1, ipnt= 823 (Z): anal= 1.84097177, fd= 1.84081587, err= 0.00015590 (at 13.53776286 0.09674920 0.01602235) iface= 1, ipnt=1075 (Z): anal= 0.06201279, fd= 0.06212621, err= -0.00011342 (at 13.33430848 0.13371593 0.56854144) iface= 1, ipnt=1234 (Z): anal= 0.06351907, fd= 0.06368623, err= -0.00016716 (at 13.39231925 0.12402764 0.57314665) iface= 2, ipnt= 495 (Z): anal= 0.55859693, fd= 0.55873096, err= -0.00013403 (at 13.94474447 -0.02940482 0.00144883) iface= 2, ipnt= 634 (Z): anal= 1.60533990, fd= 1.60513174, err= 0.00020816 (at 13.46677686 -0.11442036 0.02266738) iface= 2, ipnt= 718 (Z): anal= 0.95994132, fd= 0.95981738, err= 0.00012394 (at 13.26303596 -0.11099771 0.02127784) iface= 2, ipnt= 836 (Z): anal= 1.83890312, fd= 1.83874461, err= 0.00015851 (at 13.53750277 -0.09705778 0.01612766) iface= 2, ipnt= 837 (Z): anal= 1.50569055, fd= 1.50555924, err= 0.00013130 (at 13.72900859 -0.13635447 0.03277687) iface= 2, ipnt= 950 (Z): anal= 1.62428103, fd= 1.62413080, err= 0.00015022 (at 13.65507837 -0.13535699 0.03226599) iface= 2, ipnt=1041 (Z): anal= 0.07145195, fd= 0.07164671, err= -0.00019476 (at 13.46812450 -0.12262493 0.57377986) iface= 2, ipnt=1045 (Z): anal= 1.56406139, fd= 1.56389028, err= 0.00017111 (at 13.77251720 -0.10568514 0.01923329) iface= 2, ipnt=1139 (Z): anal= 0.06542262, fd= 0.06560017, err= -0.00017755 (at 13.41354113 -0.12294266 0.57363655) iface= 2, ipnt=1140 (Z): anal= 0.04571967, fd= 0.04586690, err= -0.00014723 (at 13.31134778 -0.11614989 0.57658517) ...too many errors to list d(Face)/d(fuse) check complete with 23 total errors (errmax= 2.6505e-04) iedge= 5, ipnt= 17 (Z): anal= -0.00250330, fd= -0.00237870, err= -0.00012460 (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= 464 (Z): anal= 0.01024470, fd= 0.01000617, err= 0.00023853 (at 13.88948897 0.05852720 0.00576835) iface= 1, ipnt= 481 (Z): anal= 0.00207364, fd= 0.00193961, err= 0.00013403 (at 13.94474447 0.02940482 0.00144883) iface= 1, ipnt= 649 (Z): anal= 0.06386323, fd= 0.06407422, err= -0.00021100 (at 13.47689156 0.11401613 0.02250134) iface= 1, ipnt= 726 (Z): anal= 0.04117709, fd= 0.04132130, err= -0.00014421 (at 13.30582220 0.11050690 0.02108269) iface= 1, ipnt= 733 (Z): anal= 0.07227576, fd= 0.07249477, err= -0.00021902 (at 13.66499951 0.11702560 0.02376469) iface= 1, ipnt= 823 (Z): anal= 0.05074385, fd= 0.05089975, err= -0.00015590 (at 13.53776286 0.09674920 0.01602235) iface= 1, ipnt=1075 (Z): anal= 1.11841858, fd= 1.11830524, err= 0.00011334 (at 13.33430848 0.13371593 0.56854144) iface= 1, ipnt=1234 (Z): anal= 1.35138132, fd= 1.35121419, err= 0.00016713 (at 13.39231925 0.12402764 0.57314665) iface= 2, ipnt= 495 (Z): anal= 0.00207364, fd= 0.00193961, err= 0.00013403 (at 13.94474447 -0.02940482 0.00144883) iface= 2, ipnt= 634 (Z): anal= 0.06336000, fd= 0.06356817, err= -0.00020816 (at 13.46677686 -0.11442036 0.02266738) iface= 2, ipnt= 718 (Z): anal= 0.03550303, fd= 0.03562697, err= -0.00012394 (at 13.26303596 -0.11099771 0.02127784) iface= 2, ipnt= 836 (Z): anal= 0.05103193, fd= 0.05119044, err= -0.00015851 (at 13.53750277 -0.09705778 0.01612766) iface= 2, ipnt= 837 (Z): anal= 0.08716186, fd= 0.08729316, err= -0.00013130 (at 13.72900859 -0.13635447 0.03277687) iface= 2, ipnt= 950 (Z): anal= 0.09252081, fd= 0.09267104, err= -0.00015022 (at 13.65507837 -0.13535699 0.03226599) iface= 2, ipnt=1041 (Z): anal= 1.55837437, fd= 1.55817967, err= 0.00019470 (at 13.46812450 -0.12262493 0.57377986) iface= 2, ipnt=1045 (Z): anal= 0.05196325, fd= 0.05213436, err= -0.00017111 (at 13.77251720 -0.10568514 0.01923329) iface= 2, ipnt=1139 (Z): anal= 1.41879740, fd= 1.41861993, err= 0.00017747 (at 13.41354113 -0.12294266 0.57363655) iface= 2, ipnt=1140 (Z): anal= 1.12130129, fd= 1.12115418, err= 0.00014711 (at 13.31134778 -0.11614989 0.57658517) ...too many errors to list d(Face)/d(fuse) check complete with 23 total errors (errmax= 2.6505e-04) iedge= 5, ipnt= 15 (Z): anal= -0.13419678, fd= -0.13432698, err= 0.00013019 (at 12.12380394 0.05367370 0.59524176) iedge= 5, ipnt= 17 (Z): anal= -0.34416251, fd= -0.34428764, err= 0.00012513 (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= 8.0305e-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= 480 (Z): anal= 0.00447951, fd= 0.00435725, err= 0.00012226 (at 13.94800836 0.06097290 0.59373512) iface= 1, ipnt= 481 (Z): anal= 0.43067615, fd= 0.43088359, err= -0.00020745 (at 13.94474447 0.02940482 0.00144883) iface= 1, ipnt= 493 (Z): anal= 0.00062463, fd= 0.00036938, err= 0.00025525 (at 13.99014410 0.01528234 0.59960871) iface= 1, ipnt= 649 (Z): anal= -1.11535065, fd= -1.11518931, err= -0.00016134 (at 13.47689156 0.11401613 0.02250134) iface= 1, ipnt= 726 (Z): anal= -0.80721884, fd= -0.80710453, err= -0.00011431 (at 13.30582220 0.11050690 0.02108269) iface= 1, ipnt= 733 (Z): anal= -1.04798024, fd= -1.04782851, err= -0.00015173 (at 13.66499951 0.11702560 0.02376469) iface= 1, ipnt= 823 (Z): anal= -1.22410063, fd= -1.22398393, err= -0.00011670 (at 13.53776286 0.09674920 0.01602235) iface= 1, ipnt=1234 (Z): anal= -0.04482068, fd= -0.04495122, err= 0.00013054 (at 13.39231925 0.12402764 0.57314665) iface= 2, ipnt= 481 (Z): anal= 0.00410616, fd= 0.00399383, err= 0.00011233 (at 13.94404508 -0.06114721 0.59369893) iface= 2, ipnt= 492 (Z): anal= 0.00062463, fd= 0.00036938, err= 0.00025525 (at 13.99014410 -0.01528234 0.59960871) iface= 2, ipnt= 495 (Z): anal= 0.43067615, fd= 0.43088359, err= -0.00020745 (at 13.94474447 -0.02940482 0.00144883) iface= 2, ipnt= 634 (Z): anal= -1.10251625, fd= -1.10235660, err= -0.00015964 (at 13.46677686 -0.11442036 0.02266738) iface= 2, ipnt= 836 (Z): anal= -1.22289508, fd= -1.22277641, err= -0.00011867 (at 13.53750277 -0.09705778 0.01612766) iface= 2, ipnt= 950 (Z): anal= -0.98640477, fd= -0.98629979, err= -0.00010498 (at 13.65507837 -0.13535699 0.03226599) iface= 2, ipnt=1041 (Z): anal= -0.04919235, fd= -0.04934166, err= 0.00014930 (at 13.46812450 -0.12262493 0.57377986) iface= 2, ipnt=1045 (Z): anal= -0.76029107, fd= -0.76019068, err= -0.00010039 (at 13.77251720 -0.10568514 0.01923329) iface= 2, ipnt=1139 (Z): anal= -0.04588569, fd= -0.04602371, err= 0.00013802 (at 13.41354113 -0.12294266 0.57363655) iface= 2, ipnt=1140 (Z): anal= -0.03289804, fd= -0.03301465, err= 0.00011661 (at 13.31134778 -0.11614989 0.57658517) ...too many errors to list d(Face)/d(fuse) check complete with 21 total errors (errmax= 2.5525e-04) iedge= 2, ipnt= 1 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 0.05852709 0.00576834) iedge= 2, ipnt= 17 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 0.05852709 0.59423166) iedge= 2, ipnt= 18 (Z): anal= 0.00273238, fd= 0.00239147, err= 0.00034091 (at 14.00000000 0.02940488 0.59855116) iedge= 5, ipnt= 17 (Z): anal= 0.00177354, fd= 0.00167261, err= 0.00010093 (at 12.29273325 0.05274036 0.59546611) iedge= 5, ipnt= 18 (Z): anal= 0.00217105, fd= 0.00203865, err= 0.00013240 (at 12.37719452 0.05180346 0.59563838) iedge= 5, ipnt= 19 (Z): anal= 0.00241025, fd= 0.00224971, err= 0.00016055 (at 12.46165048 0.05059912 0.59584217) iedge= 5, ipnt= 20 (Z): anal= 0.00246007, fd= 0.00227748, err= 0.00018259 (at 12.54609974 0.04915555 0.59607170) iedge= 5, ipnt= 21 (Z): anal= 0.00231072, fd= 0.00211582, err= 0.00019490 (at 12.63054125 0.04749672 0.59632179) iedge= 5, ipnt= 22 (Z): anal= 0.00197387, fd= 0.00178266, err= 0.00019121 (at 12.71497442 0.04564304 0.59658791) iedge= 5, ipnt= 23 (Z): anal= 0.00148126, fd= 0.00131393, err= 0.00016733 (at 12.79939881 0.04361213 0.59686617) iedge= 5, ipnt= 24 (Z): anal= 0.00088204, fd= 0.00076354, err= 0.00011850 (at 12.88381421 0.04141894 0.59715329) iedge= 5, ipnt= 27 (Z): anal= -0.00083690, fd= -0.00062178, err= -0.00021512 (at 13.13700567 0.03397837 0.59804182) iedge= 5, ipnt= 28 (Z): anal= -0.00106172, fd= -0.00069980, err= -0.00036192 (at 13.22138394 0.03123871 0.59833486) ...too many errors to list iedge= 12, ipnt= 7 (Y): anal= 0.13539747, fd= 0.13495356, err= 0.00044392 (at 13.12505891 0.26936245 0.16777278) iedge= 12, ipnt= 7 (Z): anal= 0.00587223, fd= 0.00683761, err= -0.00096538 (at 13.12505891 0.26936245 0.16777278) iedge= 12, ipnt= 8 (Y): anal= 0.00629372, fd= 0.00667979, err= -0.00038607 (at 13.00643555 0.26759617 0.16437465) iedge= 12, ipnt= 8 (Z): anal= 0.00029577, fd= -0.00009171, err= 0.00038748 (at 13.00643555 0.26759617 0.16437465) iedge= 12, ipnt= 9 (Y): anal= -0.09110826, fd= -0.08996759, err= -0.00114066 (at 12.88777568 0.26628088 0.16202910) iedge= 12, ipnt= 9 (Z): anal= -0.00468786, fd= -0.00592007, err= 0.00123221 (at 12.88777568 0.26628088 0.16202910) iedge= 12, ipnt= 10 (Y): anal= -0.14911667, fd= -0.14932274, err= 0.00020607 (at 12.76911894 0.26562722 0.16103673) iedge= 12, ipnt= 10 (Z): anal= -0.00850890, fd= -0.00939791, err= 0.00088901 (at 12.76911894 0.26562722 0.16103673) iedge= 12, ipnt= 11 (Z): anal= -0.01092924, fd= -0.01169508, err= 0.00076584 (at 12.65054226 0.26590586 0.16183500) iedge= 14, ipnt= 2 (Z): anal= 0.00029902, fd= 0.00051146, err= -0.00021244 (at 13.79587588 -0.00939809 0.59984840) iedge= 14, ipnt= 3 (Z): anal= 0.00038754, fd= 0.00080892, err= -0.00042138 (at 13.70364478 -0.01328783 0.59969462) iedge= 14, ipnt= 4 (Z): anal= 0.00021039, fd= 0.00078128, err= -0.00057088 (at 13.61139828 -0.01702513 0.59949773) iedge= 14, ipnt= 5 (Z): anal= -0.00016975, fd= 0.00047421, err= -0.00064396 (at 13.51913746 -0.02061622 0.59926431) iedge= 14, ipnt= 6 (Z): anal= -0.00061298, fd= 0.00000797, 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= 480 (Z): anal= 0.44495900, fd= 0.44508132, err= -0.00012232 (at 13.94800836 0.06097290 0.59373512) iface= 1, ipnt= 481 (Z): anal= 0.00066328, fd= 0.00045583, err= 0.00020745 (at 13.94474447 0.02940482 0.00144883) iface= 1, ipnt= 493 (Z): anal= 0.89769884, fd= 0.89795523, err= -0.00025639 (at 13.99014410 0.01528234 0.59960871) iface= 1, ipnt= 649 (Z): anal= -0.04384375, fd= -0.04400509, err= 0.00016134 (at 13.47689156 0.11401613 0.02250134) iface= 1, ipnt= 726 (Z): anal= -0.02966915, fd= -0.02978346, err= 0.00011431 (at 13.30582220 0.11050690 0.02108269) iface= 1, ipnt= 733 (Z): anal= -0.04358455, fd= -0.04373628, err= 0.00015173 (at 13.66499951 0.11702560 0.02376469) iface= 1, ipnt= 823 (Z): anal= -0.03386027, fd= -0.03397697, err= 0.00011670 (at 13.53776286 0.09674920 0.01602235) iface= 1, ipnt=1234 (Z): anal= -0.95100483, fd= -0.95087434, err= -0.00013049 (at 13.39231925 0.12402764 0.57314665) iface= 2, ipnt= 481 (Z): anal= 0.40655336, fd= 0.40666574, err= -0.00011239 (at 13.94404508 -0.06114721 0.59369893) iface= 2, ipnt= 492 (Z): anal= 0.89769884, fd= 0.89795523, err= -0.00025639 (at 13.99014410 -0.01528234 0.59960871) iface= 2, ipnt= 495 (Z): anal= 0.00066328, fd= 0.00045583, err= 0.00020745 (at 13.94474447 -0.02940482 0.00144883) iface= 2, ipnt= 634 (Z): anal= -0.04366914, fd= -0.04382879, err= 0.00015964 (at 13.46677686 -0.11442036 0.02266738) iface= 2, ipnt= 836 (Z): anal= -0.03405854, fd= -0.03417721, err= 0.00011867 (at 13.53750277 -0.09705778 0.01612766) iface= 2, ipnt= 950 (Z): anal= -0.05631642, fd= -0.05642140, err= 0.00010498 (at 13.65507837 -0.13535699 0.03226599) iface= 2, ipnt=1041 (Z): anal= -1.06971119, fd= -1.06956190, err= -0.00014929 (at 13.46812450 -0.12262493 0.57377986) iface= 2, ipnt=1045 (Z): anal= -0.02541805, fd= -0.02551843, err= 0.00010039 (at 13.77251720 -0.10568514 0.01923329) iface= 2, ipnt=1139 (Z): anal= -0.99230508, fd= -0.99216709, err= -0.00013799 (at 13.41354113 -0.12294266 0.57363655) iface= 2, ipnt=1140 (Z): anal= -0.80433888, fd= -0.80422231, err= -0.00011657 (at 13.31134778 -0.11614989 0.57658517) ...too many errors to list d(Face)/d(fuse) check complete with 21 total errors (errmax= 2.5639e-04) iedge= 2, ipnt= 1 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 0.05852709 0.00576834) iedge= 2, ipnt= 17 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 0.05852709 0.59423166) iedge= 2, ipnt= 18 (Z): anal= 0.98763322, fd= 0.98797414, err= -0.00034091 (at 14.00000000 0.02940488 0.59855116) iedge= 5, ipnt= 17 (Z): anal= 0.25466419, fd= 0.25476553, err= -0.00010134 (at 12.29273325 0.05274036 0.59546611) iedge= 5, ipnt= 18 (Z): anal= 0.32594988, fd= 0.32608238, err= -0.00013250 (at 12.37719452 0.05180346 0.59563838) iedge= 5, ipnt= 19 (Z): anal= 0.38401529, fd= 0.38417607, err= -0.00016078 (at 12.46165048 0.05059912 0.59584217) iedge= 5, ipnt= 20 (Z): anal= 0.42213197, fd= 0.42231477, err= -0.00018280 (at 12.54609974 0.04915555 0.59607170) iedge= 5, ipnt= 21 (Z): anal= 0.43355559, fd= 0.43375057, err= -0.00019497 (at 12.63054125 0.04749672 0.59632179) iedge= 5, ipnt= 22 (Z): anal= 0.41152344, fd= 0.41172013, err= -0.00019669 (at 12.71497442 0.04564304 0.59658791) iedge= 5, ipnt= 23 (Z): anal= 0.34925387, fd= 0.34948366, err= -0.00022978 (at 12.79939881 0.04361213 0.59686617) iedge= 5, ipnt= 24 (Z): anal= 0.23994767, fd= 0.24046775, err= -0.00052008 (at 12.88381421 0.04141894 0.59715329) iedge= 5, ipnt= 25 (Z): anal= 0.07679072, fd= 0.07812012, err= -0.00132939 (at 12.96822054 0.03907570 0.59744662) iedge= 5, ipnt= 26 (Z): anal= -0.14559279, fd= -0.14574387, err= 0.00015108 (at 13.05261778 0.03659278 0.59774416) ...too many errors to list iedge= 14, ipnt= 2 (Z): anal= -0.77060451, fd= -0.77080346, err= 0.00019895 (at 13.79587588 -0.00939809 0.59984840) iedge= 14, ipnt= 3 (Z): anal= -1.18130652, fd= -1.18171610, err= 0.00040958 (at 13.70364478 -0.01328783 0.59969462) iedge= 14, ipnt= 4 (Z): anal= -1.37639721, fd= -1.37696775, err= 0.00057054 (at 13.61139828 -0.01702513 0.59949773) iedge= 14, ipnt= 5 (Z): anal= -1.39405940, fd= -1.39472916, err= 0.00066977 (at 13.51913746 -0.02061622 0.59926431) iedge= 14, ipnt= 6 (Z): anal= -1.27256049, fd= -1.27348211, err= 0.00092163 (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= 2.4535e-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= 6.4851e-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= 8.9174e-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= 5.7142e-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= 1.9870e-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= 1.9876e-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= 8.2924e-06) ********************************************************* Starting configuration sensitivity wrt "area_v" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=84 Computing finite difference sensitivities for ibody=84 Comparing configuration sensitivities wrt "area_v" for ibody=84 d(Face)/d(area_v) check complete with 0 total errors (errmax= 2.4622e-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= 3.6082e-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= 7.8871e-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 -> 12.877 sec Sensitivity checks complete with 598 total errors (max config err= 1.7094e-02) with 0 suppressions real 6m52.161s user 13m57.008s sys 0m33.292s ++++ set +x data/basic/design9 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 46 / 180 ) data/basic/designA.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.002 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m0.085s user 0m0.088s sys 0m0.004s ++++ set +x data/basic/designA -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 47 / 180 ) data/basic/designB1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.056 sec Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions real 0m1.580s user 0m2.260s sys 0m0.112s ++++ set +x data/basic/designB1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 48 / 180 ) data/basic/designB2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.096 sec Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions real 0m2.109s user 0m2.944s sys 0m0.116s ++++ set +x data/basic/designB2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 49 / 180 ) data/basic/designB3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.551 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m1.522s user 0m2.352s sys 0m0.052s ++++ set +x data/basic/designB3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 50 / 180 ) data/basic/designB4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.292 sec Sensitivity checks complete with 0 total errors (max config err= 4.8610e-07) with 0 suppressions real 0m2.936s user 0m4.520s sys 0m0.152s ++++ set +x data/basic/designB4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 51 / 180 ) data/basic/designB5.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.726 sec Sensitivity checks complete with 0 total errors (max config err= 8.6451e-07) with 0 suppressions real 0m6.663s user 0m8.984s sys 0m0.292s ++++ set +x data/basic/designB5 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 52 / 180 ) data/basic/designC0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.004 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.114s user 0m0.108s sys 0m0.012s ++++ set +x data/basic/designC0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 53 / 180 ) data/basic/designC1a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.009 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.147s user 0m0.184s sys 0m0.004s ++++ set +x data/basic/designC1a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 54 / 180 ) data/basic/designC1b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.017 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.243s user 0m0.292s sys 0m0.008s ++++ set +x data/basic/designC1b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 55 / 180 ) data/basic/designC2a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.225s user 0m0.304s sys 0m0.000s ++++ set +x data/basic/designC2a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 56 / 180 ) data/basic/designC2b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.016 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.249s user 0m0.316s sys 0m0.008s ++++ set +x data/basic/designC2b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 57 / 180 ) data/basic/designC3a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.017 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.254s user 0m0.328s sys 0m0.004s ++++ set +x data/basic/designC3a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 58 / 180 ) data/basic/designC3b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.021 sec Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions real 0m0.257s user 0m0.292s sys 0m0.012s ++++ set +x data/basic/designC3b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 59 / 180 ) data/basic/designC4a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.028 sec Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions real 0m0.222s user 0m0.208s sys 0m0.012s ++++ set +x data/basic/designC4a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 60 / 180 ) data/basic/designC4b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.026 sec Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions real 0m0.234s user 0m0.236s sys 0m0.008s ++++ set +x data/basic/designC4b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 61 / 180 ) data/basic/designC5a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.248s user 0m0.252s sys 0m0.004s ++++ set +x data/basic/designC5a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 62 / 180 ) data/basic/designC5b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.240s user 0m0.248s sys 0m0.000s ++++ set +x data/basic/designC5b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 63 / 180 ) data/basic/designC6a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.027 sec Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions real 0m0.228s user 0m0.224s sys 0m0.012s ++++ set +x data/basic/designC6a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 64 / 180 ) data/basic/designC6b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.220s user 0m0.224s sys 0m0.000s ++++ set +x data/basic/designC6b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 65 / 180 ) data/basic/designD0a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.114s user 0m0.116s sys 0m0.004s ++++ set +x data/basic/designD0a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 66 / 180 ) data/basic/designD0b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.004 sec Sensitivity checks complete with 0 total errors (max config err= 1.9632e-08) with 0 suppressions real 0m0.098s user 0m0.092s sys 0m0.008s ++++ set +x data/basic/designD0b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 67 / 180 ) data/basic/designD0c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.017 sec Sensitivity checks complete with 18 total errors (max config err= 1.8583e-04) with 0 suppressions real 0m0.485s user 0m0.756s sys 0m0.000s ++++ set +x data/basic/designD0c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 68 / 180 ) data/basic/designD1a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.115 sec Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions real 0m0.434s user 0m0.452s sys 0m0.012s ++++ set +x data/basic/designD1a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 69 / 180 ) data/basic/designD1b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.155 sec Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions real 0m0.609s user 0m0.616s sys 0m0.004s ++++ set +x data/basic/designD1b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 70 / 180 ) data/basic/designD1c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.819 sec Sensitivity checks complete with 0 total errors (max config err= 4.9164e-05) with 0 suppressions real 0m2.653s user 0m2.976s sys 0m0.000s ++++ set +x data/basic/designD1c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 71 / 180 ) data/basic/designD2a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.153 sec Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions real 0m0.564s user 0m0.608s sys 0m0.000s ++++ set +x data/basic/designD2a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 72 / 180 ) data/basic/designD2b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.165 sec Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions real 0m0.661s user 0m0.672s sys 0m0.004s ++++ set +x data/basic/designD2b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 73 / 180 ) data/basic/designD2c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.777 sec Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions real 0m2.656s user 0m3.060s sys 0m0.012s ++++ set +x data/basic/designD2c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 74 / 180 ) data/basic/designD3a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.160 sec Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions real 0m0.688s user 0m0.700s sys 0m0.020s ++++ set +x data/basic/designD3a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 75 / 180 ) data/basic/designD3b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.236 sec Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions real 0m1.133s user 0m1.140s sys 0m0.008s ++++ set +x data/basic/designD3b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 76 / 180 ) data/basic/designD3c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.134 sec Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions real 0m4.186s user 0m6.824s sys 0m0.016s ++++ set +x data/basic/designD3c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 77 / 180 ) data/basic/designD4a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.221 sec Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions real 0m1.012s user 0m1.036s sys 0m0.008s ++++ set +x data/basic/designD4a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 78 / 180 ) data/basic/designD4b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.372 sec Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions real 0m1.923s user 0m1.932s sys 0m0.004s ++++ set +x data/basic/designD4b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 79 / 180 ) data/basic/designD4c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 2.048 sec Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions real 0m5.982s user 0m7.092s sys 0m0.000s ++++ set +x data/basic/designD4c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 80 / 180 ) data/basic/designD5a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.174 sec Sensitivity checks complete with 0 total errors (max config err= 5.5998e-10) with 0 suppressions real 0m0.761s user 0m0.768s sys 0m0.012s ++++ set +x data/basic/designD5a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 81 / 180 ) data/basic/designD5b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.254 sec Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions real 0m1.215s user 0m1.224s sys 0m0.008s ++++ set +x data/basic/designD5b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 82 / 180 ) data/basic/designD5c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.304 sec Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions real 0m4.539s user 0m7.084s sys 0m0.008s ++++ set +x data/basic/designD5c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 83 / 180 ) data/basic/designD6a0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.206 sec Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions real 0m3.546s user 0m3.648s sys 0m0.008s ++++ set +x data/basic/designD6a0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 84 / 180 ) data/basic/designD6a1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.230 sec Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions real 0m1.977s user 0m2.016s sys 0m0.016s ++++ set +x data/basic/designD6a1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 85 / 180 ) data/basic/designD6a2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.184 sec Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions real 0m1.627s user 0m1.672s sys 0m0.012s ++++ set +x data/basic/designD6a2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 86 / 180 ) data/basic/designD6b0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.216 sec Sensitivity checks complete with 392 total errors (max config err= 5.5164e-04) with 0 suppressions real 0m3.880s user 0m3.872s sys 0m0.012s ++++ set +x data/basic/designD6b0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 87 / 180 ) data/basic/designD6b1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.347 sec Sensitivity checks complete with 211 total errors (max config err= 2.0645e-04) with 0 suppressions real 0m1.501s user 0m1.496s sys 0m0.008s ++++ set +x data/basic/designD6b1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 88 / 180 ) data/basic/designD6b2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.171 sec Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions real 0m1.076s user 0m1.080s sys 0m0.000s ++++ set +x data/basic/designD6b2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 89 / 180 ) data/basic/designD6c0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.973 sec Sensitivity checks complete with 0 total errors (max config err= 4.9086e-05) with 0 suppressions real 0m9.041s user 0m10.024s sys 0m0.016s ++++ set +x data/basic/designD6c0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 90 / 180 ) data/basic/designD6c1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.597 sec Sensitivity checks complete with 0 total errors (max config err= 3.9168e-05) with 0 suppressions real 0m4.426s user 0m4.576s sys 0m0.000s ++++ set +x data/basic/designD6c1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 91 / 180 ) data/basic/designD6c2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.812 sec Sensitivity checks complete with 0 total errors (max config err= 4.6598e-05) with 0 suppressions real 0m3.403s user 0m3.620s sys 0m0.008s ++++ set +x data/basic/designD6c2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 92 / 180 ) data/basic/designE1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.034 sec Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions real 0m0.831s user 0m1.196s sys 0m0.028s ++++ set +x data/basic/designE1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 93 / 180 ) data/basic/designE2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.049 sec Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions real 0m2.109s user 0m3.680s sys 0m0.132s ++++ set +x data/basic/designE2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 94 / 180 ) data/basic/designE3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.118 sec Sensitivity checks complete with 0 total errors (max config err= 2.8043e-09) with 0 suppressions real 0m4.311s user 0m6.184s sys 0m0.196s ++++ set +x data/basic/designE3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 95 / 180 ) data/basic/designE4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.106 sec Sensitivity checks complete with 0 total errors (max config err= 9.7011e-07) with 0 suppressions real 0m13.692s user 0m19.080s sys 0m0.248s ++++ set +x data/basic/designE4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 96 / 180 ) data/basic/designE5.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.176 sec Sensitivity checks complete with 0 total errors (max config err= 8.6433e-07) with 0 suppressions real 0m1.200s user 0m1.768s sys 0m0.120s ++++ set +x data/basic/designE5 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 97 / 180 ) data/basic/designE6.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.004 sec Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions real 0m0.151s user 0m0.216s sys 0m0.012s ++++ set +x data/basic/designE6 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 98 / 180 ) data/basic/designE7.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.027 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.457s user 0m0.620s sys 0m0.028s ++++ set +x data/basic/designE7 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 99 / 180 ) data/basic/designE8.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.023 sec Sensitivity checks complete with 0 total errors (max config err= 1.5216e-10) with 0 suppressions real 0m0.385s user 0m0.520s sys 0m0.036s ++++ set +x data/basic/designE8 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 100 / 180 ) data/basic/designE9.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.029 sec Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions real 0m0.523s user 0m0.740s sys 0m0.036s ++++ set +x data/basic/designE9 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 101 / 180 ) data/basic/designEa.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.019 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.490s user 0m0.632s sys 0m0.036s ++++ set +x data/basic/designEa -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 102 / 180 ) data/basic/designEb.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.034 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions real 0m0.412s user 0m0.544s sys 0m0.068s ++++ set +x data/basic/designEb -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 103 / 180 ) data/basic/designF0bb.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.346 sec Sensitivity checks complete with 1120 total errors (max config err= 6.8678e-04) with 0 suppressions real 0m7.025s user 0m7.108s sys 0m0.008s ++++ set +x data/basic/designF0bb -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 104 / 180 ) data/basic/designF1bb.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.451 sec Sensitivity checks complete with 1028 total errors (max config err= 8.6827e-04) with 0 suppressions real 0m2.574s user 0m2.620s sys 0m0.004s ++++ set +x data/basic/designF1bb -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 105 / 180 ) data/basic/designF1rr.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.596 sec Sensitivity checks complete with 410 total errors (max config err= 6.3184e-04) with 0 suppressions real 0m6.091s user 0m6.232s sys 0m0.000s ++++ set +x data/basic/designF1rr -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 106 / 180 ) data/basic/designF1rs.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.556 sec Sensitivity checks complete with 484 total errors (max config err= 5.8615e-04) with 0 suppressions real 0m5.958s user 0m6.120s sys 0m0.008s ++++ set +x data/basic/designF1rs -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 107 / 180 ) data/basic/designF1sr.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.602 sec Sensitivity checks complete with 384 total errors (max config err= 8.4567e-04) with 0 suppressions real 0m6.594s user 0m6.816s sys 0m0.012s ++++ set +x data/basic/designF1sr -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 108 / 180 ) data/basic/designF1ss.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.555 sec Sensitivity checks complete with 454 total errors (max config err= 8.9304e-04) with 0 suppressions real 0m6.226s user 0m6.492s sys 0m0.008s ++++ set +x data/basic/designF1ss -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 109 / 180 ) data/basic/designF2bb.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.314 sec Sensitivity checks complete with 1088 total errors (max config err= 6.8678e-04) with 0 suppressions real 0m2.185s user 0m2.236s sys 0m0.000s ++++ set +x data/basic/designF2bb -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 110 / 180 ) data/basic/designF2rr.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.444 sec Sensitivity checks complete with 406 total errors (max config err= 6.3370e-04) with 0 suppressions real 0m5.764s user 0m5.896s sys 0m0.008s ++++ set +x data/basic/designF2rr -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 111 / 180 ) data/basic/designF2rs.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.445 sec Sensitivity checks complete with 458 total errors (max config err= 6.0513e-04) with 0 suppressions real 0m5.728s user 0m5.876s sys 0m0.008s ++++ set +x data/basic/designF2rs -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 112 / 180 ) data/basic/designF2sr.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.435 sec Sensitivity checks complete with 387 total errors (max config err= 6.4555e-04) with 0 suppressions real 0m6.209s user 0m6.440s sys 0m0.012s ++++ set +x data/basic/designF2sr -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 113 / 180 ) data/basic/designF2ss.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.468 sec Sensitivity checks complete with 424 total errors (max config err= 6.0266e-04) with 0 suppressions real 0m6.161s user 0m6.424s sys 0m0.016s ++++ set +x data/basic/designF2ss -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 114 / 180 ) data/basic/designG0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.062 sec Sensitivity checks complete with 2480 total errors (max config err= 7.6824e-04) with 0 suppressions real 0m1.222s user 0m1.760s sys 0m0.004s ++++ set +x data/basic/designG0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 115 / 180 ) data/basic/designG1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.966 sec Sensitivity checks complete with 48531 total errors (max config err= 9.5213e-02) with 0 suppressions real 0m4.500s user 0m5.028s sys 0m0.012s ++++ set +x data/basic/designG1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 116 / 180 ) data/basic/designG2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.834 sec Sensitivity checks complete with 96906 total errors (max config err= 9.5213e-02) with 0 suppressions real 0m10.986s user 0m12.084s sys 0m0.012s ++++ set +x data/basic/designG2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 117 / 180 ) data/basic/designG3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.997 sec Sensitivity checks complete with 48531 total errors (max config err= 9.5213e-02) with 0 suppressions real 0m4.915s user 0m5.544s sys 0m0.000s ++++ set +x data/basic/designG3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 118 / 180 ) data/basic/designG4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.942 sec Sensitivity checks complete with 96906 total errors (max config err= 9.5213e-02) with 0 suppressions real 0m11.498s user 0m12.664s sys 0m0.024s ++++ set +x data/basic/designG4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 119 / 180 ) data/basic/designG5.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 2.857 sec Sensitivity checks complete with 80054 total errors (max config err= 2.2089e+11) with 0 suppressions real 0m16.567s user 0m17.188s sys 0m0.012s ++++ set +x data/basic/designG5 failed (known sens failure) -------------------------------------------------------------------------------------------------- ( 120 / 180 ) data/basic/designG6.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 5.706 sec Sensitivity checks complete with 160017 total errors (max config err= 2.2089e+11) with 0 suppressions real 0m42.740s user 0m44.036s sys 0m0.040s ++++ set +x data/basic/designG6 failed (known sens failure) -------------------------------------------------------------------------------------------------- ( 121 / 180 ) data/basic/designH1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.020 sec Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions real 0m0.221s user 0m0.288s sys 0m0.012s ++++ set +x data/basic/designH1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 122 / 180 ) data/basic/designH2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.020 sec Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 24 suppressions real 0m0.303s user 0m0.308s sys 0m0.024s ++++ set +x data/basic/designH2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 123 / 180 ) data/basic/designH3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.009 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 21 suppressions real 0m0.175s user 0m0.216s sys 0m0.016s ++++ set +x data/basic/designH3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 124 / 180 ) data/basic/designH4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.021 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 20 suppressions real 0m0.339s user 0m0.448s sys 0m0.048s ++++ set +x data/basic/designH4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 125 / 180 ) data/basic/designI1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 4.1399e-11) d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11) d(Node)/d(RAD) check complete with 0 total errors (errmax= 6.7515e-12) ********************************************************* Starting configuration sensitivity wrt "ROUND" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=4 Computing finite difference sensitivities for ibody=4 Comparing configuration sensitivities wrt "ROUND" for ibody=4 d(Face)/d(ROUND) check complete with 0 total errors (errmax= 3.1836e-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= 8.4305e-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 -> 0.027 sec Sensitivity checks complete with 0 total errors (max config err= 1.5888e-09) with 0 suppressions real 0m0.486s user 0m0.652s sys 0m0.036s ++++ set +x data/basic/designI1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 126 / 180 ) data/basic/designI2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.027 sec Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions real 0m0.498s user 0m0.676s sys 0m0.032s ++++ set +x data/basic/designI2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 127 / 180 ) data/basic/designI3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.031 sec Sensitivity checks complete with 0 total errors (max config err= 1.2978e-09) with 0 suppressions real 0m0.490s user 0m0.660s sys 0m0.024s ++++ set +x data/basic/designI3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 128 / 180 ) data/basic/designI4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 4.1399e-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 -> 0.075 sec Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions real 0m2.510s user 0m3.460s sys 0m0.188s ++++ set +x data/basic/designI4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 129 / 180 ) data/basic/designJ1a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.005 sec Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions real 0m0.125s user 0m0.132s sys 0m0.008s ++++ set +x data/basic/designJ1a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 130 / 180 ) data/basic/designJ1b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.005 sec Sensitivity checks complete with 0 total errors (max config err= 1.1721e-10) with 0 suppressions real 0m0.110s user 0m0.108s sys 0m0.020s ++++ set +x data/basic/designJ1b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 131 / 180 ) data/basic/designJ1c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.092s user 0m0.076s sys 0m0.012s ++++ set +x data/basic/designJ1c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 132 / 180 ) data/basic/designJ1d.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.002 sec Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 9 suppressions real 0m0.084s user 0m0.072s sys 0m0.012s ++++ set +x data/basic/designJ1d -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 133 / 180 ) data/basic/designJ2a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.124 sec Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions real 0m0.361s user 0m0.444s sys 0m0.008s ++++ set +x data/basic/designJ2a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 134 / 180 ) data/basic/designJ2b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.123 sec Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions real 0m0.326s user 0m0.384s sys 0m0.008s ++++ set +x data/basic/designJ2b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 135 / 180 ) data/basic/designJ3a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.123 sec Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions real 0m0.397s user 0m0.476s sys 0m0.008s ++++ set +x data/basic/designJ3a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 136 / 180 ) data/basic/designJ3b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.472s user 0m0.548s sys 0m0.008s ++++ set +x data/basic/designJ3b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 137 / 180 ) data/basic/designJ4a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.343 sec Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions real 0m0.899s user 0m0.940s sys 0m0.012s ++++ set +x data/basic/designJ4a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 138 / 180 ) data/basic/designJ4b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.268 sec Sensitivity checks complete with 0 total errors (max config err= 1.9578e-07) with 0 suppressions real 0m1.419s user 0m1.896s sys 0m0.000s ++++ set +x data/basic/designJ4b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 139 / 180 ) data/basic/designJ5.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.020 sec Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 45 suppressions real 0m1.678s user 0m1.760s sys 0m0.012s ++++ set +x data/basic/designJ5 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 140 / 180 ) data/basic/designK0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.387 sec Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions real 0m3.905s user 0m5.884s sys 0m0.336s ++++ set +x data/basic/designK0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 141 / 180 ) data/basic/designK1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.369 sec Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions real 0m5.294s user 0m7.280s sys 0m0.448s ++++ set +x data/basic/designK1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 142 / 180 ) data/basic/designK2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.765 sec Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions real 0m34.384s user 0m36.436s sys 0m0.312s ++++ set +x data/basic/designK2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 143 / 180 ) data/basic/designL00.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 2.2510e-09) d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09) d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=5 Computing finite difference sensitivities for ibody=5 Comparing configuration sensitivities wrt "diam" for ibody=5 d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09) d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=5 Computing finite difference sensitivities for ibody=5 Comparing configuration sensitivities wrt "scale" for ibody=5 d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.025 sec Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions real 0m0.582s user 0m0.876s sys 0m0.020s ++++ set +x data/basic/designL00 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 144 / 180 ) data/basic/designL01.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 2.2510e-09) d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09) d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "diam" for ibody=7 d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09) d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "scale" for ibody=7 d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.030 sec Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions real 0m0.676s user 0m1.016s sys 0m0.012s ++++ set +x data/basic/designL01 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 145 / 180 ) data/basic/designL10.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 2.2510e-09) d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09) d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "diam" for ibody=7 d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09) d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=7 Computing finite difference sensitivities for ibody=7 Comparing configuration sensitivities wrt "scale" for ibody=7 d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.036 sec Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions real 0m0.798s user 0m1.148s sys 0m0.036s ++++ set +x data/basic/designL10 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 146 / 180 ) data/basic/designL11.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.413 sec Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions real 0m1.693s user 0m2.068s sys 0m0.076s ++++ set +x data/basic/designL11 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 147 / 180 ) data/basic/designL12.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.391 sec Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions real 0m1.472s user 0m1.892s sys 0m0.040s ++++ set +x data/basic/designL12 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 148 / 180 ) data/basic/designL20.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.603 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m0.840s user 0m1.216s sys 0m0.072s ++++ set +x data/basic/designL20 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 149 / 180 ) data/basic/designL21.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.887 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m1.157s user 0m1.600s sys 0m0.052s ++++ set +x data/basic/designL21 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 150 / 180 ) data/basic/designL22.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.697 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m0.929s user 0m1.348s sys 0m0.020s ++++ set +x data/basic/designL22 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 151 / 180 ) data/basic/designL30.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 2.2510e-09) d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09) d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "diam" for ibody=8 d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09) d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=8 Computing finite difference sensitivities for ibody=8 Comparing configuration sensitivities wrt "scale" for ibody=8 d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.033 sec Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions real 0m0.647s user 0m0.972s sys 0m0.028s ++++ set +x data/basic/designL30 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 152 / 180 ) data/basic/designL31.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.438 sec Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions real 0m3.188s user 0m4.156s sys 0m0.284s ++++ set +x data/basic/designL31 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 153 / 180 ) data/basic/designL32.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.466 sec Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions real 0m3.116s user 0m4.000s sys 0m0.212s ++++ set +x data/basic/designL32 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 154 / 180 ) data/basic/designL33.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.539 sec Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions real 0m3.436s user 0m4.472s sys 0m0.148s ++++ set +x data/basic/designL33 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 155 / 180 ) data/basic/designL34.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.419 sec Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions real 0m3.367s user 0m4.400s sys 0m0.164s ++++ set +x data/basic/designL34 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 156 / 180 ) data/basic/designL40.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 2.2510e-09) d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09) d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10) ********************************************************* Starting configuration sensitivity wrt "diam" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "diam" for ibody=9 d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09) d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09) d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10) ********************************************************* Starting configuration sensitivity wrt "scale" ********************************************************* Propagating velocities throughout feature tree Computing analytic sensitivities (if possible) for ibody=9 Computing finite difference sensitivities for ibody=9 Comparing configuration sensitivities wrt "scale" for ibody=9 d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09) d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09) d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09) ==> sensCSM completed successfully Total CPU time in ocsmGetVel -> 0.036 sec Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions real 0m0.730s user 0m1.044s sys 0m0.052s ++++ set +x data/basic/designL40 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 157 / 180 ) data/basic/designL41.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.516 sec Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions real 0m4.846s user 0m6.076s sys 0m0.248s ++++ set +x data/basic/designL41 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 158 / 180 ) data/basic/designL42.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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= 1.0189e-08) 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 -> 0.622 sec Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions real 0m4.306s user 0m5.516s sys 0m0.192s ++++ set +x data/basic/designL42 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 159 / 180 ) data/basic/designM0.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.057 sec Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions real 0m0.438s user 0m0.508s sys 0m0.004s ++++ set +x data/basic/designM0 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 160 / 180 ) data/basic/designM1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.432s user 0m0.504s sys 0m0.020s ++++ set +x data/basic/designM1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 161 / 180 ) data/basic/designM2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.010 sec Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions real 0m0.480s user 0m0.568s sys 0m0.000s ++++ set +x data/basic/designM2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 162 / 180 ) data/basic/designM3.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.358 sec Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions real 0m1.517s user 0m1.792s sys 0m0.052s ++++ set +x data/basic/designM3 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 163 / 180 ) data/basic/designM4.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.435 sec Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions real 0m1.666s user 0m1.928s sys 0m0.072s ++++ set +x data/basic/designM4 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 164 / 180 ) data/basic/designN1.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.054s user 0m0.048s sys 0m0.004s ++++ set +x data/basic/designN1 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 165 / 180 ) data/basic/designN2.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.317s user 0m0.464s sys 0m0.000s ++++ set +x data/basic/designN2 -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 166 / 180 ) data/basic/designP0a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.000 sec Sensitivity checks complete with 0 total errors (max config err= 2.1462e-09) with 0 suppressions real 0m0.077s user 0m0.068s sys 0m0.008s ++++ set +x data/basic/designP0a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 167 / 180 ) data/basic/designP0b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 0m0.191s user 0m0.180s sys 0m0.008s ++++ set +x data/basic/designP0b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 168 / 180 ) data/basic/designP0c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.089 sec Sensitivity checks complete with 0 total errors (max config err= 2.3957e-07) with 0 suppressions real 0m0.195s user 0m0.192s sys 0m0.000s ++++ set +x data/basic/designP0c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 169 / 180 ) data/basic/designP1a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.209 sec Sensitivity checks complete with 0 total errors (max config err= 1.0658e-08) with 0 suppressions real 0m0.959s user 0m0.952s sys 0m0.012s ++++ set +x data/basic/designP1a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 170 / 180 ) data/basic/designP1b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.677 sec Sensitivity checks complete with 0 total errors (max config err= 1.4211e-08) with 0 suppressions real 0m1.508s user 0m1.580s sys 0m0.000s ++++ set +x data/basic/designP1b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 171 / 180 ) data/basic/designP1c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.496 sec Sensitivity checks complete with 0 total errors (max config err= 2.2136e-07) with 0 suppressions real 0m3.392s user 0m3.412s sys 0m0.008s ++++ set +x data/basic/designP1c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 172 / 180 ) data/basic/designP2a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.171 sec Sensitivity checks complete with 0 total errors (max config err= 4.4409e-09) with 0 suppressions real 0m0.993s user 0m0.988s sys 0m0.016s ++++ set +x data/basic/designP2a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 173 / 180 ) data/basic/designP2b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.836 sec Sensitivity checks complete with 0 total errors (max config err= 1.1651e-08) with 0 suppressions real 0m1.964s user 0m2.040s sys 0m0.004s ++++ set +x data/basic/designP2b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 174 / 180 ) data/basic/designP2c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.640 sec Sensitivity checks complete with 0 total errors (max config err= 2.2187e-07) with 0 suppressions real 0m3.957s user 0m4.004s sys 0m0.008s ++++ set +x data/basic/designP2c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 175 / 180 ) data/basic/designP3a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.624 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m0.716s user 0m0.712s sys 0m0.020s ++++ set +x data/basic/designP3a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 176 / 180 ) data/basic/designP3b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.891 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m1.035s user 0m1.080s sys 0m0.004s ++++ set +x data/basic/designP3b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 177 / 180 ) data/basic/designP3c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 2.178 sec Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions real 0m2.393s user 0m2.412s sys 0m0.008s ++++ set +x data/basic/designP3c -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 178 / 180 ) data/basic/designP4a.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.032 sec Sensitivity checks complete with 0 total errors (max config err= 7.2807e-07) with 0 suppressions real 0m0.894s user 0m0.912s sys 0m0.008s ++++ set +x data/basic/designP4a -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 179 / 180 ) data/basic/designP4b.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 1.070 sec Sensitivity checks complete with 21204 total errors (max config err= 8.4451e-02) with 0 suppressions real 0m5.624s user 0m5.676s sys 0m0.012s ++++ set +x data/basic/designP4b -config passed (as expected) -------------------------------------------------------------------------------------------------- ( 180 / 180 ) data/basic/designP4c.csm; ++++ /jenkins/workspace/ESP_QuickTestOcsm/7.4/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 -> 0.818 sec Sensitivity checks complete with 21250 total errors (max config err= 8.4451e-02) with 0 suppressions real 0m5.679s user 0m5.720s sys 0m0.024s ++++ 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/7.4/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/7.4/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 (7.4,LINUX64,reynolds) [Static Analysis] Using reference build 'ESP_QuickTestOcsm/CASREV=7.4,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=7.4,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