Started by upstream project "ESP_QuickTestOcsm" build number 166
originally caused by:
Started by user galbramc
Running as galbramc
[EnvInject] - Loading node environment variables.
Building remotely on reynolds in workspace /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] Done
Cleaning up /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/circle1_dot
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/circle2_dot
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/naca_dot
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src/ruled_naca_dot
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/tire
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/tire.o
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/tire.so
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data/udpTire.o
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial/egads2tri
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial/egads2tri.o
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial/tire
Deleting /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial/tire.o
Updating svn+ssh://acdl.mit.edu/home/svnroot/EGADS at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1532
Cleaning up /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP
Updating svn+ssh://acdl.mit.edu/home/svnroot/JenkinsESP at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
U ESP_Regression.bat
U RunRegression.sh
U expectSENS.sh
At revision 488
Cleaning up /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/src
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/src at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
Cleaning up /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/data
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/data at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
Cleaning up /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/udc
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/udc at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
Cleaning up /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/Jenkins
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/Jenkins at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
Cleaning up /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/pyOCSM
Updating svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/pyOCSM at revision '2021-01-20T11:56:40.347 -0500'
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
At revision 1925
No changes for svn+ssh://acdl.mit.edu/home/svnroot/EGADS since the previous build
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
Using sole credentials jenkins in realm ‘svn+ssh://acdl.mit.edu’
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/src since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/data since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/udc since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/Jenkins since the previous build
No changes for svn+ssh://acdl.mit.edu/home/svnroot/OpenCSM/trunk/pyOCSM since the previous build
[GitCheckoutListener] SCM 'hudson.scm.SubversionSCM' is not of type GitSCM
Run condition [Execution node ] enabling prebuild for step [Execute shell]
Run condition [Execution node ] enabling prebuild for step [Execute Windows batch command]
[Execution node] check if [reynolds] is in [[macys, macys_VM, reynolds]]
Run condition [Execution node ] enabling perform for step [Execute shell]
[LINUX64] $ /bin/bash -xe /tmp/jenkins5092246900398747017.sh
+ export NOCAPS=true
+ NOCAPS=true
+ source /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/ESP_Regression.sh
++ source /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/ESP_Env.sh
+++ AFLR_VERSION=10.11.10
+++ export EFCOMP=gfortran
+++ EFCOMP=gfortran
+++ [[ reynolds == \r\e\y\n\o\l\d\s ]]
+++ [[ LINUX64 == \L\I\N\U\X\6\4\.\g\n\u* ]]
+++ [[ LINUX64 == *\.\i\f\o\r\t ]]
+++ [[ LINUX64 == \D\A\R\W\I\N\6\4\.\g\c\c ]]
+++ export ESP_BLOC=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64
+++ ESP_BLOC=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64
+++ export ESP_ROOT=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64
+++ ESP_ROOT=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64
+++ export AWAVE=awavemod.f
+++ AWAVE=awavemod.f
+++ export RLM_CONNECT_TIMEOUT=350
+++ RLM_CONNECT_TIMEOUT=350
+++ [[ reynolds == *\r\e\y\n\o\l\d\s* ]]
+++ [[ reynolds == \r\e\y\n\o\l\d\s ]]
+++ [[ '' == '' ]]
+++ export PYTHONHOME=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7
+++ PYTHONHOME=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7
+++ export PATH=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ PATH=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ export LD_LIBRARY_PATH=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib:
+++ LD_LIBRARY_PATH=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib:
+++ export EMPnumProc=4
+++ EMPnumProc=4
+++ export CASROOT=/home/jenkins/util/ESP/OpenCASCADE-7.3.1
+++ CASROOT=/home/jenkins/util/ESP/OpenCASCADE-7.3.1
+++ export CASARCH=.
+++ CASARCH=.
+++ export LD_LIBRARY_PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.3.1/lib:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib:
+++ LD_LIBRARY_PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.3.1/lib:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib:
+++ export ESP_EXTERN_LIBS=/home/jenkins/util/ESP/ExternLibs
+++ ESP_EXTERN_LIBS=/home/jenkins/util/ESP/ExternLibs
+++ export AFLR=/home/jenkins/util/AFLR/aflr_lib_10.11.10
+++ AFLR=/home/jenkins/util/AFLR/aflr_lib_10.11.10
+++ export AFLR_ARCH=Linux-x86-64
+++ AFLR_ARCH=Linux-x86-64
+++ export PATH=/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ PATH=/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ export CART3D=/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28
+++ CART3D=/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28
+++ export PATH=/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ PATH=/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ export PATH=/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ PATH=/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ export IRIT_LIB=/home/jenkins/util/ESP/IRIT/irit-linux/lib
+++ IRIT_LIB=/home/jenkins/util/ESP/IRIT/irit-linux/lib
+++ export IRIT_INC=/home/jenkins/util/ESP/IRIT/irit-sm
+++ IRIT_INC=/home/jenkins/util/ESP/IRIT/irit-sm
+++ '[' -f /opt/intel/compilers_and_libraries/linux/mkl/bin/mklvars.sh ']'
+++ source /opt/intel/compilers_and_libraries/linux/mkl/bin/mklvars.sh intel64
++++ set_mkl_env intel64
++++ CPRO_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux
++++ export MKLROOT=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl
++++ MKLROOT=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl
++++ __mkl_tmp_SCRIPT_NAME=mklvars.sh
++++ __mkl_tmp_MOD_NAME=mod
++++ __mkl_tmp_LP64_ILP64=
++++ __mkl_tmp_MOD=
++++ __mkl_tmp_TARGET_ARCH=
++++ __mkl_tmp_MKLVARS_VERBOSE=
++++ __mkl_tmp_BAD_SWITCH=
++++ '[' -z intel64 ']'
++++ '[' -n intel64 ']'
++++ '[' intel64 = ia32 ']'
++++ '[' intel64 = intel64 ']'
++++ __mkl_tmp_TARGET_ARCH=intel64
++++ shift
++++ '[' -n '' ']'
++++ '[' -n '' ']'
++++ '[' -z intel64 ']'
++++ __compiler_dir=/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib
++++ __mkl_lib_dir=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib
++++ __tbb_lib_dir=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib
++++ __cpath=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/include
++++ __subdir_arch_ia32=ia32_lin
++++ __subdir_arch_intel64=intel64_lin
++++ '[' intel64 = ia32 ']'
++++ '[' intel64 = intel64 ']'
++++ __target_arch_path=intel64_lin
++++ __tbb_path_arch=
++++ '[' -z '' ']'
++++ '[' -d /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib ']'
++++ '[' intel64_lin = ia32_lin ']'
+++++ set_tbb_path intel64_lin
+++++ __tmp_target_arch_path=intel64_lin
++++++ get_tbb_library_directory
++++++ __tbb_tmp_lib_dir=gcc4.1
++++++ which gcc
++++++ '[' 0 -eq 0 ']'
+++++++ gcc --version
+++++++ egrep -o ' [0-9]+\.[0-9]+\.[0-9]+.*'
+++++++ grep gcc
+++++++ sed -e 's/^\ //'
++++++ __tbb_tmp_gcc_version_full='5.5.0-12ubuntu1~16.04) 5.5.0 20171010'
++++++ '[' 0 -eq 0 ']'
+++++++ echo '5.5.0-12ubuntu1~16.04) 5.5.0 20171010'
+++++++ egrep -o '^[0-9]+\.[0-9]+\.[0-9]+'
++++++ __tbb_tmp_gcc_version=5.5.0
++++++ '[' -d /lib/intel64/gcc4.8 ']'
++++++ case "${__tbb_tmp_gcc_version}" in
++++++ __tbb_tmp_lib_dir=gcc4.7
++++++ echo gcc4.7
+++++ __tmp_tbb_subdir=/gcc4.7
+++++ __tmp_tbb_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7
+++++ echo /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7
++++ __tbb_path_arch=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7
+++++ set_ld_library_path intel64_lin /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7
+++++ __tmp_target_arch_path=intel64_lin
+++++ __tmp_ld_library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin
+++++ __tmp_tbb_arch_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7
+++++ __tmp_ld_library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin
+++++ echo /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin
++++ __ld_library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin
+++++ set_library_path intel64_lin /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7
+++++ __tmp_target_arch_path=intel64_lin
+++++ __tmp_tbb_arch_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7
+++++ '[' intel64_lin = ia32_lin ']'
+++++ __tmp_library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin
+++++ __tmp_library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin
+++++ echo /opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin
++++ __library_path=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin
+++++ set_nls_path intel64_lin
+++++ __tmp_target_arch_path=intel64_lin
+++++ echo /opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin/locale/%l_%t/%N
++++ __nlspath=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin/locale/%l_%t/%N
++++ '[' '' = mod ']'
++++ export LD_LIBRARY_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.3.1/lib:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib:
++++ LD_LIBRARY_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib:/home/jenkins/util/ESP/OpenCASCADE-7.3.1/lib:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib:
++++ export LIBRARY_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin
++++ LIBRARY_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/tbb/lib/intel64_lin/gcc4.7:/opt/intel/compilers_and_libraries_2020.0.166/linux/compiler/lib/intel64_lin:/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin
++++ export NLSPATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin/locale/%l_%t/%N
++++ NLSPATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/lib/intel64_lin/locale/%l_%t/%N
++++ export CPATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/include
++++ CPATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/include
++++ export PKG_CONFIG_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/bin/pkgconfig
++++ PKG_CONFIG_PATH=/opt/intel/compilers_and_libraries_2020.0.166/linux/mkl/bin/pkgconfig
++++ '[' '' = verbose ']'
+++ export MYSTRAN_directory=/home/jenkins/util/mystran
+++ MYSTRAN_directory=/home/jenkins/util/mystran
+++ export PATH=/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ PATH=/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ export PATH=/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ PATH=/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games
+++ export CAPS_GLYPH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/CAPS/aim/pointwise/glyph
+++ CAPS_GLYPH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/CAPS/aim/pointwise/glyph
+++ export SU2_HOME=/home/jenkins/util/SU2/SU2_Falcon
+++ SU2_HOME=/home/jenkins/util/SU2/SU2_Falcon
+++ export SU2_RUN=/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ SU2_RUN=/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PATH=/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PATH=/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PYTHONPATH=:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PYTHONPATH=:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export TETGEN=/home/jenkins/util/tetgen/tetgen1.6.0
+++ TETGEN=/home/jenkins/util/tetgen/tetgen1.6.0
+++ export PATH=/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PATH=/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PATH=/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PATH=/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ export PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/pyEGADS:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ PYTHONPATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/pyEGADS:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib::/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
+++ [[ reynolds == \m\a\c\y\s* ]]
++++ python-config --includes
+++ export 'PYTHONINC=. -I/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m -I/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m'
+++ PYTHONINC='. -I/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m -I/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/include/python3.7m'
++++ python-config --ldflags
+++ export 'PYTHONLIB= -L/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib -lpython3.7m -lcrypt -lpthread -ldl -lutil -lrt -lm '
+++ PYTHONLIB=' -L/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib -lpython3.7m -lcrypt -lpthread -ldl -lutil -lrt -lm '
+++ export PYTHONUNBUFFERED=true
+++ PYTHONUNBUFFERED=true
+++ python --version
Python 3.7.7
+++ [[ LINUX64 == \D\A\R\W\I\N\6\4\.\g\c\c ]]
+++ export CSMDATA=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/data
+++ CSMDATA=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/data
++ source /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/ESPbfr.sh
+++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/
+++ tar -xvf /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/ESPbfr.tgz
ESP/
ESP/.DS_Store
ESP/CYGWIN64/
ESP/DARWIN64/
ESP/LINUX64/
ESP/udunits/
ESP/WIN64/
ESP/WIN64/.DS_Store
ESP/WIN64/bin/
ESP/WIN64/include/
ESP/WIN64/lib/
ESP/WIN64/obj/
ESP/WIN64/test/
ESP/WIN64/lib/.DS_Store
ESP/WIN64/lib/expat.dll
ESP/WIN64/lib/libgcc_s_sjlj-1.dll
ESP/WIN64/lib/libquadmath-0.dll
ESP/WIN64/lib/libwinpthread-1.dll
ESP/WIN64/lib/nmb.dll
ESP/WIN64/lib/nmb.lib
ESP/WIN64/lib/udunits2.dll
ESP/WIN64/lib/udunits2.lib
ESP/WIN64/include/.DS_Store
ESP/WIN64/include/converter.h
ESP/WIN64/include/nmb.h
ESP/WIN64/include/udunits.h
ESP/WIN64/include/udunits2.h
ESP/WIN64/include/winhelpers/
ESP/WIN64/include/winhelpers/.DS_Store
ESP/WIN64/include/winhelpers/gettimeofday.h
ESP/WIN64/include/winhelpers/netdb.h
ESP/WIN64/include/winhelpers/strings.h
ESP/WIN64/include/winhelpers/sys/
ESP/WIN64/include/winhelpers/unistd.h
ESP/WIN64/include/winhelpers/websock-w32.h
ESP/WIN64/include/winhelpers/sys/time.h
ESP/WIN64/bin/ASTRO.D01
ESP/WIN64/bin/ASTRO.IDX
ESP/WIN64/bin/mastros.exe
ESP/udunits/udunits2-accepted.xml
ESP/udunits/udunits2-base.xml
ESP/udunits/udunits2-common.xml
ESP/udunits/udunits2-derived.xml
ESP/udunits/udunits2-prefixes.xml
ESP/udunits/udunits2.xml
ESP/LINUX64/.DS_Store
ESP/LINUX64/bin/
ESP/LINUX64/include/
ESP/LINUX64/lib/
ESP/LINUX64/obj/
ESP/LINUX64/test/
ESP/LINUX64/lib/.DS_Store
ESP/LINUX64/lib/libc3dio.a
ESP/LINUX64/lib/libCart3D.a
ESP/LINUX64/lib/libnmb.so
ESP/LINUX64/include/.DS_Store
ESP/LINUX64/include/c3dio/
ESP/LINUX64/include/libCart3D/
ESP/LINUX64/include/nmb.h
ESP/LINUX64/include/xddm/
ESP/LINUX64/include/xddm/xddm.c
ESP/LINUX64/include/xddm/xddm.h
ESP/LINUX64/include/xddm/xddmInternals.h
ESP/LINUX64/include/libCart3D/.DS_Store
ESP/LINUX64/include/libCart3D/basicTypes.h
ESP/LINUX64/include/libCart3D/bBox_stuff.h
ESP/LINUX64/include/libCart3D/c3d_global.h
ESP/LINUX64/include/libCart3D/c3d_timeout.h
ESP/LINUX64/include/libCart3D/cartCells.h
ESP/LINUX64/include/libCart3D/CaseInfo.h
ESP/LINUX64/include/libCart3D/ConvInfo.h
ESP/LINUX64/include/libCart3D/dualtime.h
ESP/LINUX64/include/libCart3D/earthBL_BC.h
ESP/LINUX64/include/libCart3D/encoding.h
ESP/LINUX64/include/libCart3D/geomStructures.h
ESP/LINUX64/include/libCart3D/geomTypes.h
ESP/LINUX64/include/libCart3D/GridInfo.h
ESP/LINUX64/include/libCart3D/gridStructures.h
ESP/LINUX64/include/libCart3D/hex.h
ESP/LINUX64/include/libCart3D/infoStructures.h
ESP/LINUX64/include/libCart3D/int64.h
ESP/LINUX64/include/libCart3D/IOinfo.h
ESP/LINUX64/include/libCart3D/limiters.h
ESP/LINUX64/include/libCart3D/map.h
ESP/LINUX64/include/libCart3D/memory_util.h
ESP/LINUX64/include/libCart3D/MGinfo.h
ESP/LINUX64/include/libCart3D/myLList.h
ESP/LINUX64/include/libCart3D/PostProcInfo.h
ESP/LINUX64/include/libCart3D/sensors.h
ESP/LINUX64/include/libCart3D/SFC.h
ESP/LINUX64/include/libCart3D/SolverInfo.h
ESP/LINUX64/include/libCart3D/stateVector.h
ESP/LINUX64/include/libCart3D/string_util.h
ESP/LINUX64/include/libCart3D/timer.h
ESP/LINUX64/include/libCart3D/utils_xml.h
ESP/LINUX64/include/libCart3D/vortexBC.h
ESP/LINUX64/include/c3dio/c3dio_icemcfd.h
ESP/LINUX64/include/c3dio/c3dio_lib.h
ESP/LINUX64/bin/ASTRO.D01
ESP/LINUX64/bin/ASTRO.IDX
ESP/LINUX64/bin/mastros.exe
ESP/DARWIN64/.DS_Store
ESP/DARWIN64/bin/
ESP/DARWIN64/include/
ESP/DARWIN64/lib/
ESP/DARWIN64/obj/
ESP/DARWIN64/test/
ESP/DARWIN64/lib/libc3dio.a
ESP/DARWIN64/lib/libCart3D.a
ESP/DARWIN64/lib/libgcc_s.1.dylib
ESP/DARWIN64/lib/libnmb.dylib
ESP/DARWIN64/lib/libquadmath.0.dylib
ESP/DARWIN64/lib/libudunits2.0.dylib
ESP/DARWIN64/lib/libudunits2.dylib
ESP/DARWIN64/include/.DS_Store
ESP/DARWIN64/include/c3dio/
ESP/DARWIN64/include/converter.h
ESP/DARWIN64/include/libCart3D/
ESP/DARWIN64/include/nmb.h
ESP/DARWIN64/include/udunits.h
ESP/DARWIN64/include/udunits2.h
ESP/DARWIN64/include/xddm/
ESP/DARWIN64/include/xddm/xddm.c
ESP/DARWIN64/include/xddm/xddm.h
ESP/DARWIN64/include/xddm/xddmInternals.h
ESP/DARWIN64/include/libCart3D/.DS_Store
ESP/DARWIN64/include/libCart3D/basicTypes.h
ESP/DARWIN64/include/libCart3D/bBox_stuff.h
ESP/DARWIN64/include/libCart3D/c3d_global.h
ESP/DARWIN64/include/libCart3D/c3d_timeout.h
ESP/DARWIN64/include/libCart3D/cartCells.h
ESP/DARWIN64/include/libCart3D/CaseInfo.h
ESP/DARWIN64/include/libCart3D/ConvInfo.h
ESP/DARWIN64/include/libCart3D/dualtime.h
ESP/DARWIN64/include/libCart3D/earthBL_BC.h
ESP/DARWIN64/include/libCart3D/encoding.h
ESP/DARWIN64/include/libCart3D/geomStructures.h
ESP/DARWIN64/include/libCart3D/geomTypes.h
ESP/DARWIN64/include/libCart3D/GridInfo.h
ESP/DARWIN64/include/libCart3D/gridStructures.h
ESP/DARWIN64/include/libCart3D/hex.h
ESP/DARWIN64/include/libCart3D/infoStructures.h
ESP/DARWIN64/include/libCart3D/int64.h
ESP/DARWIN64/include/libCart3D/IOinfo.h
ESP/DARWIN64/include/libCart3D/limiters.h
ESP/DARWIN64/include/libCart3D/map.h
ESP/DARWIN64/include/libCart3D/memory_util.h
ESP/DARWIN64/include/libCart3D/MGinfo.h
ESP/DARWIN64/include/libCart3D/myLList.h
ESP/DARWIN64/include/libCart3D/PostProcInfo.h
ESP/DARWIN64/include/libCart3D/sensors.h
ESP/DARWIN64/include/libCart3D/SFC.h
ESP/DARWIN64/include/libCart3D/SolverInfo.h
ESP/DARWIN64/include/libCart3D/stateVector.h
ESP/DARWIN64/include/libCart3D/string_util.h
ESP/DARWIN64/include/libCart3D/timer.h
ESP/DARWIN64/include/libCart3D/utils_xml.h
ESP/DARWIN64/include/libCart3D/vortexBC.h
ESP/DARWIN64/include/c3dio/c3dio_icemcfd.h
ESP/DARWIN64/include/c3dio/c3dio_lib.h
ESP/DARWIN64/bin/ASTRO.D01
ESP/DARWIN64/bin/ASTRO.IDX
ESP/DARWIN64/bin/mastros.exe
ESP/CYGWIN64/.DS_Store
ESP/CYGWIN64/bin/
ESP/CYGWIN64/include/
ESP/CYGWIN64/lib/
ESP/CYGWIN64/obj/
ESP/CYGWIN64/test/
ESP/CYGWIN64/lib/.DS_Store
ESP/CYGWIN64/lib/libgcc_s_sjlj-1.dll
ESP/CYGWIN64/lib/libquadmath-0.dll
ESP/CYGWIN64/lib/libwinpthread-1.dll
ESP/CYGWIN64/include/.DS_Store
ESP/CYGWIN64/bin/.DS_Store
ESP/CYGWIN64/bin/ASTRO.D01
ESP/CYGWIN64/bin/ASTRO.IDX
ESP/CYGWIN64/bin/mastros.exe
+++ virtualenv --system-site-packages /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv
created virtual environment CPython3.7.7.final.0-64 in 365ms
creator CPython3Posix(dest=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv, clear=False, global=True)
seeder FromAppData(download=False, pip=latest, setuptools=latest, wheel=latest, via=copy, app_data_dir=/home/jenkins/.local/share/virtualenv/seed-app-data/v1.0.1)
activators BashActivator,CShellActivator,FishActivator,PowerShellActivator,PythonActivator,XonshActivator
+++ . /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv/bin/activate
++++ '[' /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv/bin/activate = /tmp/jenkins5092246900398747017.sh ']'
++++ deactivate nondestructive
++++ unset -f pydoc
++++ '[' -z '' ']'
++++ '[' -z '' ']'
++++ '[' -n /bin/bash ']'
++++ hash -r
++++ '[' -z '' ']'
++++ unset VIRTUAL_ENV
++++ '[' '!' nondestructive = nondestructive ']'
++++ VIRTUAL_ENV=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv
++++ export VIRTUAL_ENV
++++ _OLD_VIRTUAL_PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
++++ PATH=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv/bin:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test:/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin:/home/jenkins/util/xfoil/Xfoil/bin:/home/jenkins/util/tsfoil:/home/jenkins/util/pointwise/PointwiseV18.3R1:/home/jenkins/util/mystran:/home/jenkins/util/delaundo/delaundo/src:/home/jenkins/util/cart3d/cart3d_v1.5.7_X86_64_ICC--20.10.28/bin/X86_64_ICC:/home/jenkins/util/avl/Avl3.36/bin:/home/jenkins/util/ESP/Python/ESP_Python-3.7.7/bin:/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games:/usr/local/games:/home/jenkins/util/SU2/SU2_Falcon/install_dir/bin
++++ export PATH
++++ '[' -z _ ']'
++++ _OLD_VIRTUAL_PYTHONHOME=/home/jenkins/util/ESP/Python/ESP_Python-3.7.7
++++ unset PYTHONHOME
++++ '[' -z '' ']'
++++ _OLD_VIRTUAL_PS1=
++++ '[' x '!=' x ']'
+++++ basename /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv
++++ PS1='(ESP_venv) '
++++ export PS1
++++ alias pydoc
++++ true
++++ '[' -n /bin/bash ']'
++++ hash -r
+++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv/bin/pip install -U f90nml
Requirement already up-to-date: f90nml in /home/jenkins/util/ESP/Python/ESP_Python-3.7.7/lib/python3.7/site-packages (1.2)
WARNING: You are using pip version 20.1.1; however, version 20.3.3 is available.
You should consider upgrading via the '/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP_venv/bin/python -m pip install --upgrade pip' command.
+++ [[ reynolds == \m\a\c\y\s* ]]
+++ [[ /home/jenkins/util/ESP/ExternLibs == '' ]]
+++ '[' -d /home/jenkins/util/ESP/ExternLibs ']'
+++ cp /home/jenkins/util/ESP/ExternLibs/intersectWake.so /home/jenkins/util/ESP/ExternLibs/markWakeEdges.so /home/jenkins/util/ESP/ExternLibs/sansLIPAIM.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/
+++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/src
+++ make
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/LINUX64
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/LINUX64
cp -p ../include/LINUX64 /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/LINUX64
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD1 -O -I. ../util/SurrealD1_btest.cpp
/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD1
SurrealD1_test_suite Complete!
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD4 -O -I. ../util/SurrealD4_btest.cpp
/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealD4
SurrealD4_test_suite Complete!
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS1 -O -I. ../util/SurrealS1_btest.cpp
/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS1
SurrealS1_test_suite Complete!
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS4 -O -I. ../util/SurrealS4_btest.cpp
../util/SurrealS4_btest.cpp: In function ‘void multiply_deriv2()’:
../util/SurrealS4_btest.cpp:1253:23: note: variable tracking size limit exceeded with -fvar-tracking-assignments, retrying without
BOOST_AUTO_TEST_CASE( multiply_deriv2 )
^
../util/SurrealS4_btest.cpp:19:42: note: in definition of macro ‘BOOST_AUTO_TEST_CASE’
#define BOOST_AUTO_TEST_CASE( fun ) void fun()
^
/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SurrealS4
SurrealS4_test_suite Complete!
(cd ../util; make)
make[1]: Entering directory '/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/util'
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 uvmap/main/uvmap.c -Iuvmap \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_cpu_message.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_cpu_message.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_bnd_adj.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_bnd_adj.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_ibfibf.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_ibfibf.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_test.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_test.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_message.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_message.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_version.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_version.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_ibfin.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_ibfin.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_find_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_find_uv.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_test.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_test.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_gen.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_gen.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_find_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_find_uv.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_read.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_read.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_iccin.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_iccin.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_add.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_add.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_struct_free.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_struct_free.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_gen_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_gen_uv.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_read.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_read.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_struct_tasks.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_struct_tasks.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_idibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_idibe.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_inibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_inibe.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_write.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_write.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_from_egads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_from_egads.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_chk_area_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_chk_area_uv.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_norm_uv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_norm_uv.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_malloc.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_malloc.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_write.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_write.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_ibeibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_ibeibe.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_iccibe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_iccibe.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_to_egads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_to_egads.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/EG_uvmap_gen.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/EG_uvmap_gen.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_mben_disc.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_mben_disc.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_solve.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_solve.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I. uvmap/uvmap_inl_uv_bnd.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap_inl_uv_bnd.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 egadsUVmap.c -Iuvmap \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsUVmap.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a
(cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsUVmap.o uvmap_ibfibf.o EG_uvmap_struct_free.o uvmap_message.o uvmap_test.o uvmap_chk_area_uv.o uvmap_read.o uvmap_gen_uv.o uvmap_inl_uv_bnd.o EG_uvmap_read.o uvmap_idibe.o uvmap_iccin.o uvmap_cpu_message.o uvmap_malloc.o uvmap_to_egads.o uvmap_iccibe.o uvmap_add.o uvmap_bnd_adj.o EG_uvmap_test.o uvmap_ibfin.o EG_uvmap_find_uv.o uvmap_find_uv.o uvmap_write.o uvmap_version.o uvmap_struct_tasks.o uvmap_gen.o uvmap_inibe.o uvmap_norm_uv.o EG_uvmap_write.o uvmap_ibeibe.o uvmap_mben_disc.o EG_uvmap_gen.o uvmap_solve.o uvmap_from_egads.o; )
ar: creating /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a
gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/uvmap.exe /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/uvmap.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -luvmap -lrt -lm
make[1]: Leaving directory '/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/util'
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \
-I. egadsGeom.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsGeom.o
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \
-I. egadsHLevel.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsHLevel.o
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \
-I. egadsTopo.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTopo.o
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \
-I. egadsCopy.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsCopy.o
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \
-I. egadsSpline.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSpline.o
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \
-I. egadsIO.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsIO.o
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \
-I. egadsSplineFit.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSplineFit.o
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \
-I. egadsSkinning.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSkinning.o
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \
-I. egadsTessSens.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTessSens.o
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include \
-I. BRepLib_FuseEdges.cpp -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/BRepLib_FuseEdges.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsBase.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsBase.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsMemory.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsMemory.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsAttrs.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsAttrs.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTess.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsTessInp.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTessInp.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsTris.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTris.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsQuads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsQuads.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsFit.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsFit.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsRobust.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsRobust.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsSBO.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSBO.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
prmCfit.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/prmCfit.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
prmGrid.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/prmGrid.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
prmUV.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/prmUV.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsExport.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsExport.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsEffect.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsEffect.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include -I../util \
egadsSolids.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSolids.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -DLINUX64 -I../include ../util/emp.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/emp.o
g++ -m64 -g -x c++ -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I. -I../include \
../util/evaluate.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/evaluate.o
g++ -m64 -g -x c++ -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I. -I../include \
../util/rational.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/rational.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/inc -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1/include/opencascade -I/home/jenkins/util/ESP/OpenCASCADE-7.3.1 -I../include -I../include -I../util \
../util/regQuads.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/regQuads.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegads.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegads.so
(cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegads.so \
egadsGeom.o egadsHLevel.o egadsTopo.o egadsCopy.o egadsSpline.o egadsIO.o egadsSplineFit.o egadsSkinning.o egadsTessSens.o BRepLib_FuseEdges.o egadsBase.o egadsMemory.o egadsAttrs.o egadsTess.o egadsTessInp.o egadsTris.o egadsQuads.o egadsFit.o egadsRobust.o egadsSBO.o prmCfit.o prmGrid.o prmUV.o egadsExport.o egadsEffect.o egadsSolids.o emp.o evaluate.o rational.o regQuads.o \
-L/home/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -luvmap -lTKBool -lTKernel -lTKFeat -lTKBO -lTKGeomAlgo -lTKMath -lTKOffset -lTKPrim -lTKTopAlgo -lTKBRep -lTKG2d -lTKG3d -lTKGeomBase -lTKShHealing -lTKSTEP -lTKSTEP209 -lTKSTEPBase -lTKSTEPAttr -lTKXSBase -lTKIGES -lTKFillet -pthread -lm -lstdc++ -lrt )
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a
cp /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libuvmap.a /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a
(cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; \
ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libegadstatic.a egadsBase.o egadsMemory.o egadsAttrs.o egadsTess.o egadsTessInp.o egadsTris.o egadsQuads.o egadsFit.o egadsRobust.o egadsSBO.o prmCfit.o prmGrid.o prmUV.o egadsExport.o egadsEffect.o egadsSolids.o egadsGeom.o egadsHLevel.o egadsTopo.o egadsCopy.o egadsSpline.o egadsIO.o egadsSplineFit.o egadsSkinning.o egadsTessSens.o BRepLib_FuseEdges.o emp.o \
evaluate.o rational.o regQuads.o; )
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsBase.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsBase.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsMemory.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsMemory.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsAttrs.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsAttrs.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsTess.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsHLevel.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsHLevel.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsGeom.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsGeom.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I../include fgadsTopo.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fgadsTopo.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a
(cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a fgadsBase.o fgadsMemory.o fgadsAttrs.o fgadsTess.o fgadsHLevel.o fgadsGeom.o fgadsTopo.o; )
ar: creating /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libfgads.a
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a
(cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a emp.o; )
ar: creating /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libemp.a
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.h
cp -p ../include/egads.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads_dot.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads_dot.h
cp -p ../include/egads_dot.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads_dot.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.inc
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.inc
cp -p ../include/egads.inc /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egads.inc
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsErrors.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsErrors.h
cp -p ../include/egadsErrors.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsErrors.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTypes.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTypes.h
cp -p ../include/egadsTypes.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTypes.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/emp.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/emp.h
cp -p ../include/emp.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/emp.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/prm.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/prm.h
cp -p ../include/prm.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/prm.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.h
cp -p ../include/wsserver.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.inc
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.inc
cp -p ../include/wsserver.inc /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsserver.inc
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsss.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsss.h
cp -p ../include/wsss.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/wsss.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTris.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTris.h
cp -p egadsTris.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsTris.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineFit.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineFit.h
cp -p egadsSplineFit.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineFit.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineVels.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineVels.h
cp -p egadsSplineVels.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsSplineVels.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsf90.inc
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsf90.inc
cp -p ../include/egadsf90.inc /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egadsf90.inc
mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal
cp Surreal/SurrealD.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealD.h
mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal
cp Surreal/SurrealD_Lazy.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealD_Lazy.h
mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal
cp Surreal/SurrealD_Trad.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealD_Trad.h
mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal
cp Surreal/SurrealS.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealS.h
mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal
cp Surreal/SurrealS_Lazy.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealS_Lazy.h
mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal
cp Surreal/SurrealS_Trad.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/SurrealS_Trad.h
mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal
cp Surreal/always_inline.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/Surreal/always_inline.h
*** EGADS Build Complete! ***
+++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/wvServer
+++ make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include base64-decode.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/base64-decode.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include handshake.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/handshake.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include client-handshake.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/client-handshake.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include libwebsockets.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/libwebsockets.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include extension-deflate-stream.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/extension-deflate-stream.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include md5.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/md5.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include extension-x-google-mux.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/extension-x-google-mux.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include parsers.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsers.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include extension.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/extension.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include sha-1.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sha-1.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include browserMessage.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/browserMessage.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include server.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/server.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include wv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/wv.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fwv.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fwv.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libwsserver.a
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libwsserver.a
(cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj; ar rs /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libwsserver.a base64-decode.o handshake.o client-handshake.o libwebsockets.o extension-deflate-stream.o md5.o extension-x-google-mux.o parsers.o extension.o sha-1.o browserMessage.o server.o wv.o fwv.o; )
ar: creating /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libwsserver.a
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DLWS_NO_FORK -DSTANDALONE server.c \
-I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/servertest.o
gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/server /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/servertest.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver \
-lpthread -lz -lm
+++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/test
++++ ls addKnots.make agglom.make approx.make blend.make BSplineIGES.make chamfer.make closure.make CSys.make edge2WB.make edges.make effective.make egads2cart.make egads2ply.make egadsGeom_dot.make egadsHLevel_dot.make egadsSpline_dot.make egadsTopo_dot.make exportLite.make extrot.make fillet.make fit.make fitTri.make fullAttr.make fuseSheets.make GBO.make globalTess.make hollowFace.make hollow.make intersect.make makeCone.make makeFace3D.make makeLoop.make mapTess.make mofb.make mssb.make multiContext.make offset.make rebuild.make ref.make replace.make revolve.make ruled.make SBO.make scribe.make sew.make smallEdges.make step.make sweep.make test.make tolerance.make union.make vAttr.make vCurvature.make vEffect.make vEto.make vFrame.make vGeom.make vQuad.make vTessInp.make vTess.make xform.make
+++ for file in '`ls *.make`'
+++ make -f addKnots.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include addKnots.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/addKnots.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/addKnots /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/addKnots.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f agglom.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include agglom.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/agglom.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/agglom /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/agglom.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lrt -legads -lm
+++ for file in '`ls *.make`'
+++ make -f approx.make
gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include approx.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/approx.o
gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/approx /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/approx.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads \
-legads -lstdc++
+++ for file in '`ls *.make`'
+++ make -f blend.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include blend.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/blend.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/blend /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/blend.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f BSplineIGES.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include BSplineIGES.c -o \
/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/BSplineIGES.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/BSplineIGES /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/BSplineIGES.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f chamfer.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include chamfer.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/chamfer.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/chamfer /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/chamfer.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f closure.make
gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include closure.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/closure.o
gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/closure /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/closure.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads \
-legads -lstdc++
+++ for file in '`ls *.make`'
+++ make -f CSys.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include CSys.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/CSys.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/CSys /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/CSys.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f edge2WB.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include edge2WB.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/edge2WB.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/edge2WB /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/edge2WB.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f edges.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include edges.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/edges.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/edges /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/edges.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f effective.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include effective.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/effective.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/effective /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/effective.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f egads2cart.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egads2cart.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2cart.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egads2cart /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2cart.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f egads2ply.make
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. egads2ply.cpp -std=c++11 \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2ply.o
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I. tinyply.cpp -std=c++11 -w \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/tinyply.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egads2ply /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egads2ply.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/tinyply.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f egadsGeom_dot.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egadsGeom_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsGeom_dot.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsGeom_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsGeom_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f egadsHLevel_dot.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egadsHLevel_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsHLevel_dot.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsHLevel_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsHLevel_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f egadsSpline_dot.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egadsSpline_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSpline_dot.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsSpline_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsSpline_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f egadsTopo_dot.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egadsTopo_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTopo_dot.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/egadsTopo_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/egadsTopo_dot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f exportLite.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include ../src/egadsExport.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/exportLite.o -DSTANDALONE
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/exportLite /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/exportLite.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f extrot.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include extrot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/extrot.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/extrot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/extrot.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f fillet.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fillet.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fillet.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/fillet /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fillet.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f fit.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fit.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fit.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/fit /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fit.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f fitTri.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fitTri.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fitTri.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/fitTri /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fitTri.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f fullAttr.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fullAttr.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fullAttr.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/fullAttr /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fullAttr.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f fuseSheets.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include fuseSheets.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fuseSheets.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/fuseSheets /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/fuseSheets.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f GBO.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include GBO.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/GBO.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/GBO /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/GBO.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f globalTess.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include globalTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/globalTess.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/globalTess /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/globalTess.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f hollowFace.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include hollowFace.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollowFace.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/hollowFace /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollowFace.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f hollow.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include hollow.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollow.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/hollow /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/hollow.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f intersect.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include intersect.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/intersect.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/intersect /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/intersect.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f makeCone.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include makeCone.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeCone.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/makeCone /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeCone.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f makeFace3D.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include makeFace3D.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeFace3D.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/makeFace3D /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeFace3D.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f makeLoop.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include makeLoop.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeLoop.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/makeLoop /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/makeLoop.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f mapTess.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include mapTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mapTess.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/mapTess /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mapTess.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f mofb.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include mofb.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mofb.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/mofb /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mofb.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f mssb.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include mssb.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mssb.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/mssb /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/mssb.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f multiContext.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include multiContext.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/multiContext.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/multiContext /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/multiContext.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f offset.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include offset.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/offset.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/offset /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/offset.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f rebuild.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include rebuild.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/rebuild.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/rebuild /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/rebuild.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f ref.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include ref.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ref.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/ref /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ref.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f replace.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include replace.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/replace.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/replace /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/replace.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f revolve.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include revolve.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/revolve.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/revolve /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/revolve.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f ruled.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include ruled.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/ruled /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f SBO.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include SBO.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SBO.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/SBO /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/SBO.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f scribe.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include scribe.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/scribe.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/scribe /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/scribe.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f sew.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include sew.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sew.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/sew /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sew.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f smallEdges.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include smallEdges.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/smallEdges.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/smallEdges /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/smallEdges.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f step.make
gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include step.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/step.o
gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/step /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/step.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads -legads \
-lstdc++
+++ for file in '`ls *.make`'
+++ make -f sweep.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include sweep.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sweep.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/sweep /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sweep.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f test.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include testc.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/testc.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/testc /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/testc.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include testf.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/testf.o
gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/testf /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/testf.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads -legads \
-lstdc++
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include parsec.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsec.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/parsec /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsec.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include parsef.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsef.o
gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/parsef /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/parsef.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads -legads \
-lstdc++
+++ for file in '`ls *.make`'
+++ make -f tolerance.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include tolerance.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/tolerance.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/tolerance /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/tolerance.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads \
-lrt -lm
+++ for file in '`ls *.make`'
+++ make -f union.make
gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include union.f -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/union.o
gfortran -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/union /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/union.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lfgads -legads \
-lstdc++
+++ for file in '`ls *.make`'
+++ make -f vAttr.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vAttr.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vAttr.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vAttr /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vAttr.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f vCurvature.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vCurvature.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vCurvature.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vCurvature /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vCurvature.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f vEffect.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vEffect.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEffect.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vEffect /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEffect.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f vEto.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vEto.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEto.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vEto /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vEto.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -lpthread -lz -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f vFrame.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vFrame.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vFrame.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vFrame /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vFrame.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -lpthread -lz -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f vGeom.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vGeom.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vGeom.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vGeom /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vGeom.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads \
-lpthread -lz -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f vQuad.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vQuad.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vQuad.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vQuad /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vQuad.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f vTessInp.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vTessInp.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTessInp.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vTessInp /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTessInp.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f vTess.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include vTess.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTess.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include ../util/retessFaces.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/retessFaces.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vTesstatic /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTess.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/retessFaces.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legadstatic -L/home/jenkins/util/ESP/OpenCASCADE-7.3.1/./lib -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lTKBool -lTKernel -lTKFeat -lTKBO -lTKGeomAlgo -lTKMath -lTKOffset -lTKPrim -lTKTopAlgo -lTKBRep -lTKG2d -lTKG3d -lTKGeomBase -lTKShHealing -lTKSTEP -lTKSTEP209 -lTKSTEPBase -lTKSTEPAttr -lTKXSBase -lTKIGES -lTKFillet -pthread -lm \
-lpthread -lz -lrt -lm
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/vTess /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/vTess.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/retessFaces.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -lwsserver -legads -lpthread -lz -lrt -lm
+++ for file in '`ls *.make`'
+++ make -f xform.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include xform.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/xform.o
g++ -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/test/xform /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/xform.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/Tutorial
+++ make -f tire.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include tire.c
g++ -m64 -g -o tire tire.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ make -f egads2tri.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include egads2tri.c
g++ -m64 -g -o egads2tri egads2tri.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lrt -lm
+++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/EGADS_dot/src
+++ make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. circle1_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle1_dot.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. pingBodies.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o
gcc -m64 -g -o circle1_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle1_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. circle2_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle2_dot.o
gcc -m64 -g -o circle2_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/circle2_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. naca_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca_dot.o
gcc -m64 -g -o naca_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. ruled_naca_dot.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled_naca_dot.o
gcc -m64 -g -o ruled_naca_dot /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/ruled_naca_dot.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/pingBodies.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt
+++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/src
+++ make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. serveCSM.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/serveCSM.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. OpenCSM.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/OpenCSM.o
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udp.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udp.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libocsm.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libocsm.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/libocsm.so \
/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/OpenCSM.o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udp.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -ldl -lm
gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/serveCSM /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/serveCSM.o -lrt -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -lwsserver -legads -lpthread -lz -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. sensCSM.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sensCSM.o
gcc -m64 -g -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/sensCSM.o -lrt -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpBezier.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBezier.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/bezier.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/bezier.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/bezier.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBezier.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpBiconvex.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBiconvex.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/biconvex.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/biconvex.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/biconvex.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBiconvex.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpBox.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBox.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/box.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/box.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/box.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpBox.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCatmull.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCatmull.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/catmull.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/catmull.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/catmull.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCatmull.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCompare.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCompare.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/compare.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/compare.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/compare.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCompare.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCreateBEM.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreateBEM.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createBEM.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createBEM.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createBEM.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreateBEM.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfCreatePoly.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreatePoly.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createPoly.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createPoly.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/createPoly.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfCreatePoly.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpCsm.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpCsm.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/csm.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/csm.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/csm.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpCsm.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfDroop.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfDroop.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/droop.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/droop.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/droop.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfDroop.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfEditAttr.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfEditAttr.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/editAttr.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/editAttr.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/editAttr.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfEditAttr.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpEllipse.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpEllipse.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ellipse.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ellipse.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ellipse.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpEllipse.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpFitcurve.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFitcurve.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/fitcurve.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/fitcurve.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/fitcurve.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFitcurve.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpFreeform.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFreeform.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/freeform.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/freeform.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/freeform.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpFreeform.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfFlend.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfFlend.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/flend.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/flend.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/flend.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfFlend.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfGanged.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGanged.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ganged.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ganged.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/ganged.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGanged.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfGuide.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGuide.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/guide.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/guide.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/guide.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfGuide.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfMatchBodys.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfMatchBodys.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/matchBodys.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/matchBodys.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/matchBodys.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfMatchBodys.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpHex.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpHex.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/hex.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/hex.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/hex.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpHex.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpImport.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpImport.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/import.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/import.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/import.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpImport.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpKulfan.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpKulfan.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/kulfan.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/kulfan.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/kulfan.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpKulfan.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpNaca.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpNurbbody.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNurbbody.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/nurbbody.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/nurbbody.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/nurbbody.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNurbbody.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
g++ -m64 -g -c -O -fPIC -DLIN -DLININTEL -DCSFDB -DOCC_CONVERT_SIGNALS -D_GNU_SOURCE=1 -D_OCC64 -DNDEBUG -DNo_Exception -DHAVE_CONFIG_H -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -std=c++11 -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpParsec.cpp \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpParsec.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/parsec.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/parsec.so
g++ -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/parsec.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpParsec.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpPod.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPod.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/pod.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/pod.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/pod.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPod.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpPoly.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPoly.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/poly.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/poly.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/poly.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpPoly.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfPrintBbox.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBbox.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBbox.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBbox.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBbox.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBbox.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfPrintBrep.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBrep.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBrep.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBrep.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/printBrep.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfPrintBrep.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpRadwaf.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpRadwaf.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/radwaf.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/radwaf.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/radwaf.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpRadwaf.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpSample.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSample.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sample.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sample.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sample.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSample.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpSew.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSew.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sew.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sew.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/sew.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSew.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpStag.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpStag.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stag.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stag.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stag.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpStag.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udfStiffener.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfStiffener.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stiffener.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stiffener.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/stiffener.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfStiffener.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpSupell.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSupell.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/supell.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/supell.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/supell.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpSupell.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpWaffle.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpWaffle.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/waffle.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/waffle.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/waffle.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpWaffle.o \
-L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. eggPDT2.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/eggPDT2.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/PDT2.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/PDT2.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/PDT2.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/eggPDT2.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib \
-legads -lm
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. udpNaca456.c \
-o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca456.o
gfortran -m64 -g -c -O -fPIC -frecursive -fcray-pointer naca456.f90 -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca456.o -J /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca456.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca456.so
gfortran -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/naca456.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udpNaca456.o \
/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/naca456.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -locsm -legads -lm
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/OpenCSM.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/OpenCSM.h
cp -p OpenCSM.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/OpenCSM.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/common.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/common.h
cp -p common.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/common.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udp.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udp.h
cp -p udp.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udp.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egg.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egg.h
cp -p egg.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/egg.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.h
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.h
cp -p udpUtilities.h /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.h
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.c
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.c
cp -p udpUtilities.c /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include/udpUtilities.c
+++ [[ /home/jenkins/util/ESP/IRIT/irit-linux/lib != '' ]]
+++ [[ /home/jenkins/util/ESP/IRIT/irit-sm != '' ]]
+++ make -f udfTile.make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -DLINUX386 -D__UNIX__ -DSTRICMP -DUSLEEP -DTIMES -DRAND -DIRIT_HAVE_XML_LIB -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include -I. -I/home/jenkins/util/ESP/IRIT/irit-sm udfTile.c -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfTile.o
touch /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/tile.so
rm /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/tile.so
gcc -m64 -g -shared -Wl,-no-undefined -o /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib/tile.so /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/obj/udfTile.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -locsm -L/home/jenkins/util/ESP/IRIT/irit-linux/lib -lIritExtLib -lIritGrapLib -lIritUserLib -lIritRndrLib -lIritBoolLib -lIritPrsrLib -lIritVMdlLib -lIritMdlLib -lIritMvarLib -lIritTrimLib -lIritTrivLib -lIritTrngLib -lIritSymbLib -lIritCagdLib -lIritGeomLib -lIritMiscLib -lIritXtraLib -lIritExtLib -lIritGrapLib -lIritUserLib -lIritRndrLib -lIritBoolLib -lIritPrsrLib -lIritVMdlLib -lIritMdlLib -lIritMvarLib -lIritTrimLib -lIritTrivLib -lIritTrngLib -lIritSymbLib -lIritCagdLib -lIritGeomLib -lIritMiscLib -lIritXtraLib -lrt -lm
+++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/EGADS/trunk/docs/UDP_UDF/data
+++ make
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include udpTire.c -o tire.o
gcc -m64 -g -o tire tire.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt
gcc -m64 -g -c -O -fno-unit-at-a-time -fPIC -Wall -Wno-dangling-else -Wno-parentheses -Wno-unused-result -Wno-format-truncation -DREVISION=7.3 -DUDP -I/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/include udpTire.c
touch tire.so
rm tire.so
gcc -m64 -g -shared -Wl,-no-undefined -o tire.so udpTire.o -L/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/lib -legads -lm -lrt
+++ [[ true == '' ]]
+++ ln -f -s /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/udc /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64
++++ find /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM/trunk/data/training/ -name Makefile
++ mkdir -p /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test
++ cd /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test
++ source /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/RunRegression.sh
+++ [[ 0 == 1 ]]
+++ [[ 0 == 2 ]]
+++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64 == '' ]]
+++ [[ sensCSM/config == '' ]]
+++ [[ 7.3 == '' ]]
+++ [[ ! -d /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP ]]
+++ [[ sensCSM/config =~ [0-9]+.[0-9]+ ]]
+++ export ESPTEST=sensCSM/config
+++ ESPTEST=sensCSM/config
+++ [[ sensCSM/config == \C\A\P\S* ]]
+++ [[ sensCSM/config == \s\e\n\s\C\S\M* ]]
+++++ pwd
++++ relpath /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM
++++ local source=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test
++++ local target=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM
++++ local common_part=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test
++++ local result=
++++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM == \/\j\e\n\k\i\n\s\/\w\o\r\k\s\p\a\c\e\/\E\S\P\_\Q\u\i\c\k\T\e\s\t\O\c\s\m\/\7\.\3\/\s\e\n\s\C\S\M\/\c\o\n\f\i\g\/\L\I\N\U\X\6\4\/\O\p\e\n\C\S\M ]]
+++++ dirname /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/test
++++ common_part=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP
++++ [[ -z '' ]]
++++ local result=..
++++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/OpenCSM == \/\j\e\n\k\i\n\s\/\w\o\r\k\s\p\a\c\e\/\E\S\P\_\Q\u\i\c\k\T\e\s\t\O\c\s\m\/\7\.\3\/\s\e\n\s\C\S\M\/\c\o\n\f\i\g\/\L\I\N\U\X\6\4\/\O\p\e\n\C\S\M ]]
+++++ dirname /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP
++++ common_part=/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64
++++ [[ -z .. ]]
++++ local result=../..
++++ [[ /OpenCSM == \/\j\e\n\k\i\n\s\/\w\o\r\k\s\p\a\c\e\/\E\S\P\_\Q\u\i\c\k\T\e\s\t\O\c\s\m\/\7\.\3\/\s\e\n\s\C\S\M\/\c\o\n\f\i\g\/\L\I\N\U\X\6\4\/\O\p\e\n\C\S\M ]]
++++ [[ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64 == \/ ]]
++++ forward_part=/OpenCSM
++++ [[ -n ../.. ]]
++++ [[ -n /OpenCSM ]]
++++ local result=../../OpenCSM
++++ echo ../../OpenCSM
+++ export OPENCSM=../../OpenCSM
+++ OPENCSM=../../OpenCSM
+++ sort -f
+++ find ../../OpenCSM/trunk/data/basic -name 'design*.csm'
+++ source /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/splitCSMFiles.sh
++++ [[ -n '' ]]
+++ export SENS=-config
+++ SENS=-config
+++ cp /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/JenkinsESP/data/sensFailure.txt .
+++ set +x
total 11M
-rw-r--r-- 1 jenkins jenkins 1.3M Nov 7 2018 ASTRO.D01
-rw-r--r-- 1 jenkins jenkins 316K Nov 7 2018 ASTRO.IDX
-rwxr-xr-x 1 jenkins jenkins 8.2M Nov 7 2018 mastros.exe
-rwxrwxr-x 1 jenkins jenkins 140K Jan 20 11:59 sensCSM
-rwxrwxr-x 1 jenkins jenkins 981K Jan 20 11:59 serveCSM
Testing CSM files:
../../OpenCSM/trunk/data/basic/design0a.csm
../../OpenCSM/trunk/data/basic/design0b.csm
../../OpenCSM/trunk/data/basic/design0c.csm
../../OpenCSM/trunk/data/basic/design0.csm
../../OpenCSM/trunk/data/basic/design0d.csm
../../OpenCSM/trunk/data/basic/design0e.csm
../../OpenCSM/trunk/data/basic/design0f.csm
../../OpenCSM/trunk/data/basic/design0g.csm
../../OpenCSM/trunk/data/basic/design0h.csm
../../OpenCSM/trunk/data/basic/design0i.csm
../../OpenCSM/trunk/data/basic/design0j.csm
../../OpenCSM/trunk/data/basic/design0k.csm
../../OpenCSM/trunk/data/basic/design0m.csm
../../OpenCSM/trunk/data/basic/design0n1.csm
../../OpenCSM/trunk/data/basic/design0n2.csm
../../OpenCSM/trunk/data/basic/design0n3.csm
../../OpenCSM/trunk/data/basic/design0n4.csm
../../OpenCSM/trunk/data/basic/design0o1.csm
../../OpenCSM/trunk/data/basic/design0o2.csm
../../OpenCSM/trunk/data/basic/design0o3.csm
../../OpenCSM/trunk/data/basic/design0o4.csm
../../OpenCSM/trunk/data/basic/design0p.csm
../../OpenCSM/trunk/data/basic/design0q.csm
../../OpenCSM/trunk/data/basic/design0r.csm
../../OpenCSM/trunk/data/basic/design0s.csm
../../OpenCSM/trunk/data/basic/design0t1.csm
../../OpenCSM/trunk/data/basic/design0t2.csm
../../OpenCSM/trunk/data/basic/design0t3.csm
../../OpenCSM/trunk/data/basic/design0u.csm
../../OpenCSM/trunk/data/basic/design0v.csm
../../OpenCSM/trunk/data/basic/design0w.csm
../../OpenCSM/trunk/data/basic/design1a.csm
../../OpenCSM/trunk/data/basic/design1b.csm
../../OpenCSM/trunk/data/basic/design2.csm
../../OpenCSM/trunk/data/basic/design3.csm
../../OpenCSM/trunk/data/basic/design4.csm
../../OpenCSM/trunk/data/basic/design5.csm
../../OpenCSM/trunk/data/basic/design6.csm
../../OpenCSM/trunk/data/basic/design7.csm
../../OpenCSM/trunk/data/basic/design8a.csm
../../OpenCSM/trunk/data/basic/design8b.csm
../../OpenCSM/trunk/data/basic/design8c.csm
../../OpenCSM/trunk/data/basic/design8.csm
../../OpenCSM/trunk/data/basic/design8d.csm
../../OpenCSM/trunk/data/basic/design9.csm
../../OpenCSM/trunk/data/basic/designA.csm
../../OpenCSM/trunk/data/basic/designB1.csm
../../OpenCSM/trunk/data/basic/designB2.csm
../../OpenCSM/trunk/data/basic/designB3.csm
../../OpenCSM/trunk/data/basic/designB4.csm
../../OpenCSM/trunk/data/basic/designB5.csm
../../OpenCSM/trunk/data/basic/designC0.csm
../../OpenCSM/trunk/data/basic/designC1a.csm
../../OpenCSM/trunk/data/basic/designC1b.csm
../../OpenCSM/trunk/data/basic/designC2a.csm
../../OpenCSM/trunk/data/basic/designC2b.csm
../../OpenCSM/trunk/data/basic/designC3a.csm
../../OpenCSM/trunk/data/basic/designC3b.csm
../../OpenCSM/trunk/data/basic/designC4a.csm
../../OpenCSM/trunk/data/basic/designC4b.csm
../../OpenCSM/trunk/data/basic/designC5a.csm
../../OpenCSM/trunk/data/basic/designC5b.csm
../../OpenCSM/trunk/data/basic/designC6a.csm
../../OpenCSM/trunk/data/basic/designC6b.csm
../../OpenCSM/trunk/data/basic/designD0a.csm
../../OpenCSM/trunk/data/basic/designD0b.csm
../../OpenCSM/trunk/data/basic/designD0c.csm
../../OpenCSM/trunk/data/basic/designD1a.csm
../../OpenCSM/trunk/data/basic/designD1b.csm
../../OpenCSM/trunk/data/basic/designD1c.csm
../../OpenCSM/trunk/data/basic/designD2a.csm
../../OpenCSM/trunk/data/basic/designD2b.csm
../../OpenCSM/trunk/data/basic/designD2c.csm
../../OpenCSM/trunk/data/basic/designD3a.csm
../../OpenCSM/trunk/data/basic/designD3b.csm
../../OpenCSM/trunk/data/basic/designD3c.csm
../../OpenCSM/trunk/data/basic/designD4a.csm
../../OpenCSM/trunk/data/basic/designD4b.csm
../../OpenCSM/trunk/data/basic/designD4c.csm
../../OpenCSM/trunk/data/basic/designD5a.csm
../../OpenCSM/trunk/data/basic/designD5b.csm
../../OpenCSM/trunk/data/basic/designD5c.csm
../../OpenCSM/trunk/data/basic/designD6a0.csm
../../OpenCSM/trunk/data/basic/designD6a1.csm
../../OpenCSM/trunk/data/basic/designD6a2.csm
../../OpenCSM/trunk/data/basic/designD6b0.csm
../../OpenCSM/trunk/data/basic/designD6b1.csm
../../OpenCSM/trunk/data/basic/designD6b2.csm
../../OpenCSM/trunk/data/basic/designD6c0.csm
../../OpenCSM/trunk/data/basic/designD6c1.csm
../../OpenCSM/trunk/data/basic/designD6c2.csm
../../OpenCSM/trunk/data/basic/designE1.csm
../../OpenCSM/trunk/data/basic/designE2.csm
../../OpenCSM/trunk/data/basic/designE3.csm
../../OpenCSM/trunk/data/basic/designE4.csm
../../OpenCSM/trunk/data/basic/designE5.csm
../../OpenCSM/trunk/data/basic/designE6.csm
../../OpenCSM/trunk/data/basic/designE7.csm
../../OpenCSM/trunk/data/basic/designE8.csm
../../OpenCSM/trunk/data/basic/designE9.csm
../../OpenCSM/trunk/data/basic/designEa.csm
../../OpenCSM/trunk/data/basic/designEb.csm
../../OpenCSM/trunk/data/basic/designF0bb.csm
../../OpenCSM/trunk/data/basic/designF1bb.csm
../../OpenCSM/trunk/data/basic/designF1rr.csm
../../OpenCSM/trunk/data/basic/designF1rs.csm
../../OpenCSM/trunk/data/basic/designF1sr.csm
../../OpenCSM/trunk/data/basic/designF1ss.csm
../../OpenCSM/trunk/data/basic/designF2bb.csm
../../OpenCSM/trunk/data/basic/designF2rr.csm
../../OpenCSM/trunk/data/basic/designF2rs.csm
../../OpenCSM/trunk/data/basic/designF2sr.csm
../../OpenCSM/trunk/data/basic/designF2ss.csm
../../OpenCSM/trunk/data/basic/designG0.csm
../../OpenCSM/trunk/data/basic/designG1.csm
../../OpenCSM/trunk/data/basic/designG2.csm
../../OpenCSM/trunk/data/basic/designG3.csm
../../OpenCSM/trunk/data/basic/designG4.csm
../../OpenCSM/trunk/data/basic/designG5.csm
../../OpenCSM/trunk/data/basic/designG6.csm
../../OpenCSM/trunk/data/basic/designH1.csm
../../OpenCSM/trunk/data/basic/designH2.csm
../../OpenCSM/trunk/data/basic/designH3.csm
../../OpenCSM/trunk/data/basic/designH4.csm
../../OpenCSM/trunk/data/basic/designI1.csm
../../OpenCSM/trunk/data/basic/designI2.csm
../../OpenCSM/trunk/data/basic/designI3.csm
../../OpenCSM/trunk/data/basic/designI4.csm
../../OpenCSM/trunk/data/basic/designJ1a.csm
../../OpenCSM/trunk/data/basic/designJ1b.csm
../../OpenCSM/trunk/data/basic/designJ1c.csm
../../OpenCSM/trunk/data/basic/designJ1d.csm
../../OpenCSM/trunk/data/basic/designJ2a.csm
../../OpenCSM/trunk/data/basic/designJ2b.csm
../../OpenCSM/trunk/data/basic/designJ3a.csm
../../OpenCSM/trunk/data/basic/designJ3b.csm
../../OpenCSM/trunk/data/basic/designJ4a.csm
../../OpenCSM/trunk/data/basic/designJ4b.csm
../../OpenCSM/trunk/data/basic/designJ5.csm
../../OpenCSM/trunk/data/basic/designK0.csm
../../OpenCSM/trunk/data/basic/designK1.csm
../../OpenCSM/trunk/data/basic/designK2.csm
../../OpenCSM/trunk/data/basic/designL00.csm
../../OpenCSM/trunk/data/basic/designL01.csm
../../OpenCSM/trunk/data/basic/designL10.csm
../../OpenCSM/trunk/data/basic/designL11.csm
../../OpenCSM/trunk/data/basic/designL12.csm
../../OpenCSM/trunk/data/basic/designL20.csm
../../OpenCSM/trunk/data/basic/designL21.csm
../../OpenCSM/trunk/data/basic/designL22.csm
../../OpenCSM/trunk/data/basic/designL30.csm
../../OpenCSM/trunk/data/basic/designL31.csm
../../OpenCSM/trunk/data/basic/designL32.csm
../../OpenCSM/trunk/data/basic/designL33.csm
../../OpenCSM/trunk/data/basic/designL34.csm
../../OpenCSM/trunk/data/basic/designL40.csm
../../OpenCSM/trunk/data/basic/designL41.csm
../../OpenCSM/trunk/data/basic/designL42.csm
../../OpenCSM/trunk/data/basic/designM0.csm
../../OpenCSM/trunk/data/basic/designM1.csm
../../OpenCSM/trunk/data/basic/designM2.csm
../../OpenCSM/trunk/data/basic/designM3.csm
../../OpenCSM/trunk/data/basic/designM4.csm
../../OpenCSM/trunk/data/basic/designN1.csm
../../OpenCSM/trunk/data/basic/designN2.csm
../../OpenCSM/trunk/data/basic/designP0a.csm
../../OpenCSM/trunk/data/basic/designP0b.csm
../../OpenCSM/trunk/data/basic/designP0c.csm
../../OpenCSM/trunk/data/basic/designP1a.csm
../../OpenCSM/trunk/data/basic/designP1b.csm
../../OpenCSM/trunk/data/basic/designP1c.csm
../../OpenCSM/trunk/data/basic/designP2a.csm
../../OpenCSM/trunk/data/basic/designP2b.csm
../../OpenCSM/trunk/data/basic/designP2c.csm
../../OpenCSM/trunk/data/basic/designP3a.csm
../../OpenCSM/trunk/data/basic/designP3b.csm
../../OpenCSM/trunk/data/basic/designP3c.csm
../../OpenCSM/trunk/data/basic/designP4a.csm
../../OpenCSM/trunk/data/basic/designP4b.csm
../../OpenCSM/trunk/data/basic/designP4c.csm
( 1 / 180 )
data/basic/design0a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "x1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "x1" for ibody=5
d(Face)/d(x1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(x1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x1) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "x2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "x2" for ibody=5
d(Face)/d(x2) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(x2) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(x2) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "x3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "x3" for ibody=5
d(Face)/d(x3) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(x3) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(x3) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "x4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "x4" for ibody=5
d(Face)/d(x4) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(x4) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(x4) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "x5"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "x5" for ibody=5
d(Face)/d(x5) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(x5) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(x5) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "y1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "y1" for ibody=5
d(Face)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "y2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "y2" for ibody=5
d(Face)/d(y2) check complete with 0 total errors (errmax= 2.8756e-11)
d(Edge)/d(y2) check complete with 0 total errors (errmax= 2.8756e-11)
d(Node)/d(y2) check complete with 0 total errors (errmax= 2.8756e-11)
*********************************************************
Starting configuration sensitivity wrt "y3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "y3" for ibody=5
d(Face)/d(y3) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(y3) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(y3) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "y4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "y4" for ibody=5
d(Face)/d(y4) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(y4) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(y4) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "y5"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "y5" for ibody=5
d(Face)/d(y5) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(y5) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(y5) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "z1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "z1" for ibody=5
d(Face)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "z2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "z2" for ibody=5
d(Face)/d(z2) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(z2) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(z2) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "z3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "z3" for ibody=5
d(Face)/d(z3) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(z3) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(z3) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.082 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m1.568s
user 0m1.148s
sys 0m0.832s
++++ set +x
data/basic/design0a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 2 / 180 )
data/basic/design0b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "x1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "x2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "x3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "y1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "y2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "y3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "depth"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.121 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.189s
user 0m0.220s
sys 0m0.000s
++++ set +x
data/basic/design0b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 3 / 180 )
data/basic/design0c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "xbeg1" for ibody=3
d(Face)/d(xbeg1) check complete with 0 total errors (errmax= 2.2061e-10)
d(Edge)/d(xbeg1) check complete with 0 total errors (errmax= 4.7886e-09)
d(Node)/d(xbeg1) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "ybeg1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "ybeg1" for ibody=3
d(Face)/d(ybeg1) check complete with 0 total errors (errmax= 2.0729e-10)
d(Edge)/d(ybeg1) check complete with 0 total errors (errmax= 1.4066e-07)
d(Node)/d(ybeg1) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zbeg1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "zbeg1" for ibody=3
d(Face)/d(zbeg1) check complete with 0 total errors (errmax= 9.6838e-07)
d(Edge)/d(zbeg1) check complete with 0 total errors (errmax= 1.2907e-06)
d(Node)/d(zbeg1) check complete with 0 total errors (errmax= 1.2989e-06)
*********************************************************
Starting configuration sensitivity wrt "xend1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "xend1" for ibody=3
d(Face)/d(xend1) check complete with 0 total errors (errmax= 1.8018e-10)
d(Edge)/d(xend1) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xend1) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "rad1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "rad1" for ibody=3
d(Face)/d(rad1) check complete with 0 total errors (errmax= 1.4403e-07)
d(Edge)/d(rad1) check complete with 0 total errors (errmax= 2.0780e-07)
d(Node)/d(rad1) check complete with 0 total errors (errmax= 2.0778e-07)
*********************************************************
Starting configuration sensitivity wrt "xbeg2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "xbeg2" for ibody=3
d(Face)/d(xbeg2) check complete with 0 total errors (errmax= 3.0288e-10)
d(Edge)/d(xbeg2) check complete with 0 total errors (errmax= 1.5826e-06)
d(Node)/d(xbeg2) check complete with 0 total errors (errmax= 1.0000e-07)
*********************************************************
Starting configuration sensitivity wrt "ybeg2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "ybeg2" for ibody=3
d(Face)/d(ybeg2) check complete with 0 total errors (errmax= 2.4860e-10)
d(Edge)/d(ybeg2) check complete with 0 total errors (errmax= 6.5594e-09)
d(Node)/d(ybeg2) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "zbeg2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "zbeg2" for ibody=3
d(Face)/d(zbeg2) check complete with 0 total errors (errmax= 9.6840e-07)
d(Edge)/d(zbeg2) check complete with 0 total errors (errmax= 1.9407e-06)
d(Node)/d(zbeg2) check complete with 0 total errors (errmax= 1.2989e-06)
*********************************************************
Starting configuration sensitivity wrt "yend2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "yend2" for ibody=3
d(Face)/d(yend2) check complete with 0 total errors (errmax= 1.8018e-10)
d(Edge)/d(yend2) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(yend2) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "rad2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "rad2" for ibody=3
d(Face)/d(rad2) check complete with 0 total errors (errmax= 9.0178e-07)
d(Edge)/d(rad2) check complete with 0 total errors (errmax= 1.1897e-06)
d(Node)/d(rad2) check complete with 0 total errors (errmax= 1.2989e-06)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.025 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9407e-06) with 0 suppressions
real 0m1.393s
user 0m1.908s
sys 0m0.604s
++++ set +x
data/basic/design0c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 4 / 180 )
data/basic/design0.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "xbase" for ibody=6
d(Face)/d(xbase) check complete with 0 total errors (errmax= 1.0717e-09)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 9.8769e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 9.7569e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "ybase" for ibody=6
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.1845e-09)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 1.2187e-09)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 1.5131e-09)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "zbase" for ibody=6
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.2430e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 1.3004e-09)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.4001e-09)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "xsize" for ibody=6
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.0645e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.8769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.7569e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "ysize" for ibody=6
d(Face)/d(ysize) check complete with 0 total errors (errmax= 9.8352e-10)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 1.2111e-09)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 1.5131e-09)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "zsize" for ibody=6
d(Face)/d(zsize) check complete with 0 total errors (errmax= 8.9492e-10)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 1.3004e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 5.1190e-10)
*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "dx" for ibody=6
d(Face)/d(dx) check complete with 0 total errors (errmax= 1.0717e-09)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 9.8769e-10)
d(Node)/d(dx) check complete with 0 total errors (errmax= 9.7569e-10)
*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "dy" for ibody=6
d(Face)/d(dy) check complete with 0 total errors (errmax= 1.1845e-09)
d(Edge)/d(dy) check complete with 0 total errors (errmax= 1.2187e-09)
d(Node)/d(dy) check complete with 0 total errors (errmax= 1.5131e-09)
*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "dz" for ibody=6
d(Face)/d(dz) check complete with 0 total errors (errmax= 1.5233e-09)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 2.0133e-09)
d(Node)/d(dz) check complete with 0 total errors (errmax= 1.4001e-09)
*********************************************************
Starting configuration sensitivity wrt "rotx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "rotx" for ibody=6
d(Face)/d(rotx) check complete with 0 total errors (errmax= 1.7481e-09)
d(Edge)/d(rotx) check complete with 0 total errors (errmax= 1.5604e-09)
d(Node)/d(rotx) check complete with 0 total errors (errmax= 1.3803e-09)
*********************************************************
Starting configuration sensitivity wrt "roty"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "roty" for ibody=6
d(Face)/d(roty) check complete with 0 total errors (errmax= 1.5507e-09)
d(Edge)/d(roty) check complete with 0 total errors (errmax= 1.4926e-09)
d(Node)/d(roty) check complete with 0 total errors (errmax= 1.0035e-09)
*********************************************************
Starting configuration sensitivity wrt "rotz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "rotz" for ibody=6
d(Face)/d(rotz) check complete with 0 total errors (errmax= 2.6294e-09)
d(Edge)/d(rotz) check complete with 0 total errors (errmax= 2.7739e-09)
d(Node)/d(rotz) check complete with 0 total errors (errmax= 1.6562e-09)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "scale" for ibody=6
d(Face)/d(scale) check complete with 0 total errors (errmax= 1.5461e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 1.3593e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 7.2594e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 2.7739e-09) with 0 suppressions
real 0m0.230s
user 0m0.224s
sys 0m0.004s
++++ set +x
data/basic/design0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 5 / 180 )
data/basic/design0d.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0d.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "xsize" for ibody=2
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "ysize" for ibody=2
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "zsize" for ibody=2
d(Face)/d(zsize) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "scale" for ibody=2
d(Face)/d(scale) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.7956e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 2.7956e-10) with 0 suppressions
real 0m0.139s
user 0m0.148s
sys 0m0.004s
++++ set +x
data/basic/design0d -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 6 / 180 )
data/basic/design0e.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0e.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "camber" for ibody=4
d(Face)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
iedge= 1, ipnt= 36 (Y): anal= 1.97615543, fd= 1.97629596, err= -0.00014053 (at 0.76391243 0.21905467 0.20000000)
iedge= 1, ipnt= 38 (Y): anal= 1.98421954, fd= 1.98381604, err= 0.00040350 (at 0.69954527 0.22733053 0.20000000)
iedge= 1, ipnt= 40 (Y): anal= 1.97166562, fd= 1.97177264, err= -0.00010701 (at 0.63500781 0.23414598 0.20000000)
iedge= 2, ipnt= 27 (Y): anal= 1.99251071, fd= 1.99226882, err= 0.00024189 (at 0.66407683 -0.00424263 0.20000000)
iedge= 2, ipnt= 28 (Y): anal= 1.99617031, fd= 1.99591887, err= 0.00025144 (at 0.69557917 -0.00574515 0.20000000)
iedge= 2, ipnt= 29 (Y): anal= 1.99503688, fd= 1.99521580, err= -0.00017893 (at 0.72708070 -0.00726766 0.20000000)
d(Edge)/d(camber) check complete with 6 total errors (errmax= 4.0350e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 1.2410e-08)
*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "thick" for ibody=4
d(Face)/d(thick) check complete with 0 total errors (errmax= 0.0000e+00)
iedge= 1, ipnt= 64 (X): anal= -0.05687876, fd= -0.05672636, err= -0.00015240 (at -0.09765810 0.11596241 0.20000000)
iedge= 2, ipnt= 2 (X): anal= -0.04842163, fd= -0.04829491, err= -0.00012672 (at -0.09450779 0.08530178 0.20000000)
d(Edge)/d(thick) check complete with 2 total errors (errmax= 1.5240e-04)
d(Node)/d(thick) check complete with 0 total errors (errmax= 2.9698e-11)
*********************************************************
Starting configuration sensitivity wrt "xle"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "xle" for ibody=4
d(Face)/d(xle) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 1.0367e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "yle"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "yle" for ibody=4
d(Face)/d(yle) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 5.5459e-11)
d(Node)/d(yle) check complete with 0 total errors (errmax= 1.0001e-12)
*********************************************************
Starting configuration sensitivity wrt "zle"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "zle" for ibody=4
d(Face)/d(zle) check complete with 0 total errors (errmax= 1.0001e-12)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 5.6511e-11)
d(Node)/d(zle) check complete with 0 total errors (errmax= 1.0001e-12)
*********************************************************
Starting configuration sensitivity wrt "chord"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "chord" for ibody=4
d(Face)/d(chord) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 1.2239e-10)
d(Node)/d(chord) check complete with 0 total errors (errmax= 2.3482e-10)
*********************************************************
Starting configuration sensitivity wrt "alpha"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "alpha" for ibody=4
d(Face)/d(alpha) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(alpha) check complete with 0 total errors (errmax= 1.8372e-10)
d(Node)/d(alpha) check complete with 0 total errors (errmax= 2.4064e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.003 sec
Sensitivity checks complete with 8 total errors (max config err= 4.0350e-04) with 0 suppressions
real 0m0.233s
user 0m0.228s
sys 0m0.004s
++++ set +x
data/basic/design0e -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 7 / 180 )
data/basic/design0f.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0f.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "camber" for ibody=2
iface= 1, ipnt= 347 (Y): anal= 0.99746080, fd= 0.99726110, err= 0.00019970 (at 0.47877632 0.13974948 1.24729082)
iface= 1, ipnt= 356 (Y): anal= 0.99745853, fd= 0.99725847, err= 0.00020006 (at 0.51475444 0.15778025 1.78813725)
iface= 1, ipnt= 898 (Y): anal= 0.99636400, fd= 0.99623824, err= 0.00012576 (at 0.39187921 0.10232094 0.11466513)
iface= 1, ipnt= 899 (Y): anal= 0.99708042, fd= 0.99689355, err= 0.00018686 (at 0.39988439 0.10346292 0.15323496)
iface= 1, ipnt= 900 (Y): anal= 0.99740266, fd= 0.99719876, err= 0.00020389 (at 0.40687758 0.10462124 0.19195780)
iface= 1, ipnt= 901 (Y): anal= 0.99749423, fd= 0.99730956, err= 0.00018467 (at 0.41301574 0.10580136 0.23084670)
iface= 1, ipnt= 902 (Y): anal= 0.99745543, fd= 0.99731859, err= 0.00013684 (at 0.41844444 0.10700509 0.26991284)
iface= 1, ipnt=1019 (Y): anal= 0.99699935, fd= 0.99681912, err= 0.00018023 (at 0.45261682 0.13024094 0.95591649)
iface= 1, ipnt=1038 (Y): anal= 0.99698497, fd= 0.99680594, err= 0.00017903 (at 0.52739554 0.16769967 2.07956884)
iface= 1, ipnt=1112 (Y): anal= 0.99746293, fd= 0.99732011, err= 0.00014282 (at 0.58212036 0.18894693 2.72796034)
...too many errors to list
iface= 2, ipnt= 346 (Y): anal= 0.99634651, fd= 0.99617954, err= 0.00016696 (at 0.50969196 0.04197030 1.81346465)
iface= 2, ipnt= 357 (Y): anal= 0.99633024, fd= 0.99616424, err= 0.00016600 (at 0.46546322 0.01989730 1.15138281)
iface= 2, ipnt= 897 (Y): anal= 0.99584102, fd= 0.99570502, err= 0.00013601 (at 0.58114853 0.07887664 2.92374302)
iface= 2, ipnt= 898 (Y): anal= 0.99694360, fd= 0.99674744, err= 0.00019616 (at 0.58501310 0.07785304 2.88533546)
iface= 2, ipnt= 899 (Y): anal= 0.99744041, fd= 0.99725806, err= 0.00018235 (at 0.58772090 0.07677520 2.84676583)
iface= 2, ipnt=1019 (Y): anal= 0.99739179, fd= 0.99720267, err= 0.00018913 (at 0.53345329 0.04998968 2.04408907)
iface= 2, ipnt=1038 (Y): anal= 0.99738272, fd= 0.99719261, err= 0.00019011 (at 0.45841367 0.01252948 0.92043535)
iface= 2, ipnt=1041 (Y): anal= 0.99661481, fd= 0.99643284, err= 0.00018197 (at 0.51931959 0.04605673 1.93416452)
iface= 2, ipnt=1056 (Y): anal= 0.99659713, fd= 0.99641608, err= 0.00018105 (at 0.45896979 0.01593273 1.03057641)
iface= 2, ipnt=1115 (Y): anal= 0.99743034, fd= 0.99724635, err= 0.00018400 (at 0.40806004 -0.01297849 0.15435082)
...too many errors to list
d(Face)/d(camber) check complete with 36 total errors (errmax= 2.0400e-04)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 7.0843e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 6.4602e-09)
*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "thick" for ibody=2
d(Face)/d(thick) check complete with 0 total errors (errmax= 7.8793e-05)
d(Edge)/d(thick) check complete with 0 total errors (errmax= 7.8575e-05)
d(Node)/d(thick) check complete with 0 total errors (errmax= 1.0173e-11)
*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "dx" for ibody=2
d(Face)/d(dx) check complete with 0 total errors (errmax= 1.2365e-10)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 1.7840e-10)
d(Node)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "dy" for ibody=2
d(Face)/d(dy) check complete with 0 total errors (errmax= 1.5967e-10)
d(Edge)/d(dy) check complete with 0 total errors (errmax= 5.6297e-11)
d(Node)/d(dy) check complete with 0 total errors (errmax= 2.8756e-11)
*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "dz" for ibody=2
d(Face)/d(dz) check complete with 0 total errors (errmax= 5.8387e-10)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 1.4720e-09)
d(Node)/d(dz) check complete with 0 total errors (errmax= 5.8387e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.025 sec
Sensitivity checks complete with 36 total errors (max config err= 2.0400e-04) with 0 suppressions
real 0m0.288s
user 0m0.360s
sys 0m0.004s
++++ set +x
data/basic/design0f -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 8 / 180 )
data/basic/design0g.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0g.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xle[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "xle[1,1]" for ibody=22
d(Face)/d(xle) check complete with 0 total errors (errmax= 3.9310e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 2.9140e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 3.0478e-10)
*********************************************************
Starting configuration sensitivity wrt "xle[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "xle[2,1]" for ibody=22
d(Face)/d(xle) check complete with 0 total errors (errmax= 4.5258e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 4.4694e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 1.3930e-10)
*********************************************************
Starting configuration sensitivity wrt "xle[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "xle[3,1]" for ibody=22
d(Face)/d(xle) check complete with 0 total errors (errmax= 4.0520e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 4.1231e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 3.0478e-10)
*********************************************************
Starting configuration sensitivity wrt "xle[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "xle[4,1]" for ibody=22
d(Face)/d(xle) check complete with 0 total errors (errmax= 3.8737e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 4.8853e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 3.0478e-10)
*********************************************************
Starting configuration sensitivity wrt "yle[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "yle[1,1]" for ibody=22
d(Face)/d(yle) check complete with 0 total errors (errmax= 3.9310e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 4.1873e-11)
d(Node)/d(yle) check complete with 0 total errors (errmax= 4.3368e-19)
*********************************************************
Starting configuration sensitivity wrt "yle[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "yle[2,1]" for ibody=22
d(Face)/d(yle) check complete with 0 total errors (errmax= 3.9310e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 1.3930e-10)
d(Node)/d(yle) check complete with 0 total errors (errmax= 2.8282e-11)
*********************************************************
Starting configuration sensitivity wrt "yle[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "yle[3,1]" for ibody=22
d(Face)/d(yle) check complete with 0 total errors (errmax= 3.3534e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 5.2683e-10)
d(Node)/d(yle) check complete with 0 total errors (errmax= 8.2740e-11)
*********************************************************
Starting configuration sensitivity wrt "yle[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "yle[4,1]" for ibody=22
d(Face)/d(yle) check complete with 0 total errors (errmax= 4.0747e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 7.4887e-10)
d(Node)/d(yle) check complete with 0 total errors (errmax= 3.0478e-10)
*********************************************************
Starting configuration sensitivity wrt "zle[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "zle[1,1]" for ibody=22
d(Face)/d(zle) check complete with 0 total errors (errmax= 3.9310e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 1.0431e-10)
d(Node)/d(zle) check complete with 0 total errors (errmax= 5.2636e-13)
*********************************************************
Starting configuration sensitivity wrt "zle[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "zle[2,1]" for ibody=22
d(Face)/d(zle) check complete with 0 total errors (errmax= 3.9310e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 5.4960e-11)
d(Node)/d(zle) check complete with 0 total errors (errmax= 5.2636e-13)
*********************************************************
Starting configuration sensitivity wrt "zle[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "zle[3,1]" for ibody=22
d(Face)/d(zle) check complete with 0 total errors (errmax= 4.0740e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 8.3711e-11)
d(Node)/d(zle) check complete with 0 total errors (errmax= 5.2636e-13)
*********************************************************
Starting configuration sensitivity wrt "zle[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "zle[4,1]" for ibody=22
d(Face)/d(zle) check complete with 0 total errors (errmax= 4.0029e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 8.3765e-11)
d(Node)/d(zle) check complete with 0 total errors (errmax= 2.8282e-11)
*********************************************************
Starting configuration sensitivity wrt "twist[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "twist[1,1]" for ibody=22
d(Face)/d(twist) check complete with 0 total errors (errmax= 4.9834e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 7.6645e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 8.5201e-11)
*********************************************************
Starting configuration sensitivity wrt "twist[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "twist[2,1]" for ibody=22
d(Face)/d(twist) check complete with 0 total errors (errmax= 1.0684e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.4809e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 2.4039e-10)
*********************************************************
Starting configuration sensitivity wrt "twist[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "twist[3,1]" for ibody=22
d(Face)/d(twist) check complete with 0 total errors (errmax= 9.9668e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.5634e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.3998e-11)
*********************************************************
Starting configuration sensitivity wrt "twist[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "twist[4,1]" for ibody=22
d(Face)/d(twist) check complete with 0 total errors (errmax= 5.4928e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 8.9317e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.0229e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "chord[1,1]" for ibody=22
d(Face)/d(chord) check complete with 0 total errors (errmax= 2.9722e-09)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 3.0340e-09)
d(Node)/d(chord) check complete with 0 total errors (errmax= 5.6980e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "chord[2,1]" for ibody=22
d(Face)/d(chord) check complete with 0 total errors (errmax= 1.3265e-08)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 9.3899e-09)
d(Node)/d(chord) check complete with 0 total errors (errmax= 2.1566e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "chord[3,1]" for ibody=22
d(Face)/d(chord) check complete with 0 total errors (errmax= 1.5037e-08)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 2.4662e-08)
d(Node)/d(chord) check complete with 0 total errors (errmax= 1.7371e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "chord[4,1]" for ibody=22
d(Face)/d(chord) check complete with 0 total errors (errmax= 1.2077e-08)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 2.4346e-08)
d(Node)/d(chord) check complete with 0 total errors (errmax= 1.4367e-10)
*********************************************************
Starting configuration sensitivity wrt "thick[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "thick[1,1]" for ibody=22
iface= 1, ipnt= 112 (Z): anal= 0.04644867, fd= 0.04729609, err= -0.00084743 (at 1.32905763 0.34440545 0.20376242)
iface= 1, ipnt= 113 (Z): anal= 0.20395184, fd= 0.20461547, err= -0.00066363 (at 1.04420706 0.06687484 0.24073900)
iface= 1, ipnt= 114 (Z): anal= 0.21112209, fd= 0.21200301, err= -0.00088091 (at 1.10380300 0.08693730 0.23637145)
iface= 1, ipnt= 115 (X): anal= 0.01373354, fd= 0.01389289, err= -0.00015935 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 115 (Z): anal= 0.09623746, fd= 0.09735407, err= -0.00111661 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 116 (X): anal= 0.01940692, fd= 0.01950906, err= -0.00010214 (at 1.13258591 0.11034349 0.23256417)
iface= 1, ipnt= 116 (Z): anal= 0.19762733, fd= 0.19866745, err= -0.00104012 (at 1.13258591 0.11034349 0.23256417)
iface= 1, ipnt= 117 (X): anal= 0.00899407, fd= 0.00912718, err= -0.00013311 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 117 (Z): anal= 0.07047976, fd= 0.07152285, err= -0.00104309 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 118 (X): anal= 0.02326136, fd= 0.02339763, err= -0.00013627 (at 1.17327812 0.13040595 0.22725654)
...too many errors to list
iface= 4, ipnt= 113 (Z): anal= -0.04629525, fd= -0.04577721, err= -0.00051804 (at 1.32736092 0.34440545 0.16794975)
iface= 4, ipnt= 114 (Z): anal= -0.07043587, fd= -0.06979788, err= -0.00063799 (at 1.30669455 0.30093680 0.16618159)
iface= 4, ipnt= 115 (Z): anal= -0.08901707, fd= -0.08833878, err= -0.00067829 (at 1.29079734 0.26749938 0.16482147)
iface= 4, ipnt= 116 (Z): anal= -0.11503585, fd= -0.11436317, err= -0.00067268 (at 1.26854124 0.22068698 0.16291729)
iface= 4, ipnt= 117 (Z): anal= -0.14848406, fd= -0.14790460, err= -0.00057946 (at 1.23992626 0.16049963 0.16046907)
iface= 4, ipnt= 118 (Z): anal= -0.18870926, fd= -0.18785120, err= -0.00085807 (at 1.16118566 0.12037472 0.16158422)
iface= 4, ipnt= 119 (X): anal= -0.02079064, fd= -0.02068764, err= -0.00010299 (at 1.11960118 0.10031227 0.16364484)
iface= 4, ipnt= 119 (Z): anal= -0.20291059, fd= -0.20190540, err= -0.00100519 (at 1.11960118 0.10031227 0.16364484)
iface= 4, ipnt= 120 (Z): anal= -0.10611285, fd= -0.10601145, err= -0.00010139 (at 1.33602738 0.10699975 0.15815932)
iface= 4, ipnt= 121 (Z): anal= -0.07840732, fd= -0.07825797, err= -0.00014934 (at 1.36294241 0.19059330 0.16252297)
...too many errors to list
d(Face)/d(thick) check complete with 2776 total errors (errmax= 4.4291e-03)
d(Edge)/d(thick) check complete with 0 total errors (errmax= 1.8060e-05)
d(Node)/d(thick) check complete with 0 total errors (errmax= 3.9696e-10)
*********************************************************
Starting configuration sensitivity wrt "thick[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "thick[2,1]" for ibody=22
iface= 1, ipnt= 112 (Z): anal= 0.10114170, fd= 0.10033188, err= 0.00080982 (at 1.32905763 0.34440545 0.20376242)
iface= 1, ipnt= 113 (Z): anal= 0.02050427, fd= 0.01993673, err= 0.00056754 (at 1.04420706 0.06687484 0.24073900)
iface= 1, ipnt= 114 (Z): anal= 0.02864993, fd= 0.02787880, err= 0.00077113 (at 1.10380300 0.08693730 0.23637145)
iface= 1, ipnt= 115 (X): anal= 0.01057599, fd= 0.01042373, err= 0.00015227 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 115 (Z): anal= 0.07411104, fd= 0.07304402, err= 0.00106702 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 116 (Z): anal= 0.03642719, fd= 0.03550557, err= 0.00092163 (at 1.13258591 0.11034349 0.23256417)
iface= 1, ipnt= 117 (X): anal= 0.01124049, fd= 0.01111329, err= 0.00012720 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 117 (Z): anal= 0.08808322, fd= 0.08708645, err= 0.00099677 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 118 (X): anal= 0.00538351, fd= 0.00525925, err= 0.00012427 (at 1.17327812 0.13040595 0.22725654)
iface= 1, ipnt= 118 (Z): anal= 0.04221981, fd= 0.04124526, err= 0.00097454 (at 1.17327812 0.13040595 0.22725654)
...too many errors to list
iface= 2, ipnt= 107 (Z): anal= 0.01970476, fd= 0.01984184, err= -0.00013707 (at 1.57309358 0.75008200 0.21621179)
iface= 2, ipnt= 109 (Z): anal= 0.11873088, fd= 0.11888170, err= -0.00015082 (at 1.30402663 0.46676825 0.20096242)
iface= 2, ipnt= 110 (Z): anal= 0.08045000, fd= 0.08064564, err= -0.00019564 (at 1.45485172 0.56518250 0.20579158)
iface= 2, ipnt= 111 (Z): anal= 0.11810504, fd= 0.11825370, err= -0.00014866 (at 1.37077207 0.48764400 0.20312300)
iface= 2, ipnt= 112 (Z): anal= 0.06579830, fd= 0.06602011, err= -0.00022181 (at 1.48345862 0.60991625 0.20831260)
iface= 2, ipnt= 113 (Z): anal= 0.05111904, fd= 0.05134394, err= -0.00022489 (at 1.51206552 0.65465000 0.21083362)
iface= 2, ipnt= 114 (Z): anal= 0.03641074, fd= 0.03661210, err= -0.00020136 (at 1.54067243 0.69938375 0.21335463)
iface= 2, ipnt= 115 (Z): anal= 0.10731082, fd= 0.10757032, err= -0.00025950 (at 1.32756416 0.49957300 0.20253053)
iface= 2, ipnt= 116 (Z): anal= 0.08781959, fd= 0.08820663, err= -0.00038705 (at 1.39484278 0.57114700 0.20706677)
iface= 2, ipnt= 117 (Z): anal= 0.06747506, fd= 0.06791065, err= -0.00043560 (at 1.43356215 0.62631863 0.20974873)
...too many errors to list
iface= 4, ipnt= 113 (Z): anal= -0.10186346, fd= -0.10227987, err= 0.00041641 (at 1.32736092 0.34440545 0.16794975)
iface= 4, ipnt= 114 (Z): anal= -0.08900496, fd= -0.08951777, err= 0.00051281 (at 1.30669455 0.30093680 0.16618159)
iface= 4, ipnt= 115 (Z): anal= -0.07910386, fd= -0.07964906, err= 0.00054520 (at 1.29079734 0.26749938 0.16482147)
iface= 4, ipnt= 116 (Z): anal= -0.06523919, fd= -0.06577988, err= 0.00054069 (at 1.26854124 0.22068698 0.16291729)
iface= 4, ipnt= 117 (Z): anal= -0.04742060, fd= -0.04788637, err= 0.00046577 (at 1.23992626 0.16049963 0.16046907)
iface= 4, ipnt= 118 (Z): anal= -0.03922075, fd= -0.03991689, err= 0.00069614 (at 1.16118566 0.12037472 0.16158422)
iface= 4, ipnt= 119 (Z): anal= -0.03294334, fd= -0.03377192, err= 0.00082859 (at 1.11960118 0.10031227 0.16364484)
iface= 4, ipnt= 121 (Z): anal= -0.03359139, fd= -0.03371034, err= 0.00011895 (at 1.36294241 0.19059330 0.16252297)
iface= 4, ipnt= 122 (Z): anal= -0.04770917, fd= -0.04783533, err= 0.00012617 (at 1.38878084 0.27084312 0.16671208)
iface= 4, ipnt= 123 (X): anal= -0.00757282, fd= -0.00778375, err= 0.00021093 (at 1.15003237 0.19728079 0.16827596)
...too many errors to list
iface= 5, ipnt= 109 (Z): anal= -0.08568020, fd= -0.08556002, err= -0.00012018 (at 1.44556288 0.55027125 0.18154010)
iface= 5, ipnt= 110 (Z): anal= -0.07089748, fd= -0.07075548, err= -0.00014200 (at 1.47426737 0.59500500 0.18526816)
iface= 5, ipnt= 111 (Z): anal= -0.06202837, fd= -0.06188012, err= -0.00014825 (at 1.49149007 0.62184525 0.18750500)
iface= 5, ipnt= 112 (Z): anal= -0.04823374, fd= -0.04808725, err= -0.00014649 (at 1.51828092 0.66359675 0.19098453)
iface= 5, ipnt= 113 (Z): anal= -0.03936760, fd= -0.03923040, err= -0.00013720 (at 1.53550362 0.69043700 0.19322137)
iface= 5, ipnt= 116 (Z): anal= -0.12114440, fd= -0.12096126, err= -0.00018314 (at 1.33045558 0.47869725 0.17445697)
iface= 5, ipnt= 117 (Z): anal= -0.02194055, fd= -0.02166403, err= -0.00027652 (at 1.52198462 0.75008200 0.19578412)
iface= 5, ipnt= 119 (Z): anal= -0.10648679, fd= -0.10618705, err= -0.00029974 (at 1.35880869 0.51895762 0.17761946)
iface= 5, ipnt= 121 (Z): anal= -0.09126279, fd= -0.09087274, err= -0.00039005 (at 1.38821191 0.56070912 0.18089908)
iface= 5, ipnt= 124 (Z): anal= -0.07546956, fd= -0.07502310, err= -0.00044647 (at 1.41866524 0.60395175 0.18429583)
...too many errors to list
d(Face)/d(thick) check complete with 3376 total errors (errmax= 4.0973e-03)
d(Edge)/d(thick) check complete with 0 total errors (errmax= 9.5125e-05)
d(Node)/d(thick) check complete with 0 total errors (errmax= 1.2153e-10)
*********************************************************
Starting configuration sensitivity wrt "thick[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "thick[3,1]" for ibody=22
iface= 2, ipnt= 107 (Z): anal= 0.07148484, fd= 0.07134483, err= 0.00014001 (at 1.57309358 0.75008200 0.21621179)
iface= 2, ipnt= 109 (Z): anal= 0.00906939, fd= 0.00892405, err= 0.00014534 (at 1.30402663 0.46676825 0.20096242)
iface= 2, ipnt= 110 (Z): anal= 0.03029347, fd= 0.03009368, err= 0.00019979 (at 1.45485172 0.56518250 0.20579158)
iface= 2, ipnt= 111 (Z): anal= 0.01469087, fd= 0.01454339, err= 0.00014748 (at 1.37077207 0.48764400 0.20312300)
iface= 2, ipnt= 112 (Z): anal= 0.04021847, fd= 0.03999197, err= 0.00022650 (at 1.48345862 0.60991625 0.20831260)
iface= 2, ipnt= 113 (Z): anal= 0.05016871, fd= 0.04993906, err= 0.00022965 (at 1.51206552 0.65465000 0.21083362)
iface= 2, ipnt= 114 (Z): anal= 0.06014529, fd= 0.05993966, err= 0.00020563 (at 1.54067243 0.69938375 0.21335463)
iface= 2, ipnt= 115 (Z): anal= 0.01673695, fd= 0.01648704, err= 0.00024991 (at 1.32756416 0.49957300 0.20253053)
iface= 2, ipnt= 116 (Z): anal= 0.03550954, fd= 0.03513347, err= 0.00037608 (at 1.39484278 0.57114700 0.20706677)
iface= 2, ipnt= 117 (Z): anal= 0.04918744, fd= 0.04876418, err= 0.00042326 (at 1.43356215 0.62631863 0.20974873)
...too many errors to list
iface= 3, ipnt= 110 (Z): anal= 0.05225181, fd= 0.05237473, err= -0.00012292 (at 1.69464653 0.93986175 0.23722630)
iface= 3, ipnt= 111 (Z): anal= 0.04249909, fd= 0.04263907, err= -0.00013997 (at 1.72071229 0.98052886 0.24274291)
iface= 3, ipnt= 112 (Z): anal= 0.03272857, fd= 0.03287156, err= -0.00014299 (at 1.74677804 1.02119597 0.24825951)
iface= 3, ipnt= 113 (Z): anal= 0.02293784, fd= 0.02306651, err= -0.00012867 (at 1.77284380 1.06186308 0.25377612)
iface= 3, ipnt= 145 (Z): anal= 0.01517400, fd= 0.01527645, err= -0.00010244 (at 1.80057740 1.08016328 0.25607911)
iface= 3, ipnt= 158 (Z): anal= 0.05142568, fd= 0.05154582, err= -0.00012014 (at 1.69155476 0.96561759 0.24067556)
iface= 3, ipnt= 166 (Z): anal= 0.04396599, fd= 0.04409218, err= -0.00012619 (at 1.71586648 0.95748416 0.23938709)
iface= 3, ipnt= 167 (Z): anal= 0.01715931, fd= 0.01726337, err= -0.00010406 (at 1.79468581 1.05677969 0.25256147)
iface= 3, ipnt= 172 (Z): anal= 0.06015787, fd= 0.06026392, err= -0.00010604 (at 1.66968091 0.93308390 0.23632203)
iface= 3, ipnt= 176 (Z): anal= 0.05213025, fd= 0.05223592, err= -0.00010567 (at 1.69255691 0.92020598 0.23427379)
...too many errors to list
iface= 5, ipnt= 109 (Z): anal= -0.02718564, fd= -0.02729294, err= 0.00010730 (at 1.44556288 0.55027125 0.18154010)
iface= 5, ipnt= 110 (Z): anal= -0.03713123, fd= -0.03725800, err= 0.00012677 (at 1.47426737 0.59500500 0.18526816)
iface= 5, ipnt= 111 (Z): anal= -0.04309768, fd= -0.04323002, err= 0.00013234 (at 1.49149007 0.62184525 0.18750500)
iface= 5, ipnt= 112 (Z): anal= -0.05237640, fd= -0.05250717, err= 0.00013077 (at 1.51828092 0.66359675 0.19098453)
iface= 5, ipnt= 113 (Z): anal= -0.05833899, fd= -0.05846147, err= 0.00012248 (at 1.53550362 0.69043700 0.19322137)
iface= 5, ipnt= 116 (Z): anal= -0.01246298, fd= -0.01263535, err= 0.00017238 (at 1.33045558 0.47869725 0.17445697)
iface= 5, ipnt= 117 (Z): anal= -0.07975734, fd= -0.08001748, err= 0.00026014 (at 1.52198462 0.75008200 0.19578412)
iface= 5, ipnt= 119 (Z): anal= -0.02238160, fd= -0.02266371, err= 0.00028210 (at 1.35880869 0.51895762 0.17761946)
iface= 5, ipnt= 121 (Z): anal= -0.03268799, fd= -0.03305509, err= 0.00036710 (at 1.38821191 0.56070912 0.18089908)
iface= 5, ipnt= 124 (Z): anal= -0.04338420, fd= -0.04380439, err= 0.00042019 (at 1.41866524 0.60395175 0.18429583)
...too many errors to list
iface= 6, ipnt= 111 (Z): anal= -0.04062670, fd= -0.04052485, err= -0.00010186 (at 1.72663007 0.98866228 0.23123918)
iface= 6, ipnt= 112 (Z): anal= -0.03275962, fd= -0.03265705, err= -0.00010257 (at 1.74746300 1.02119597 0.23634396)
iface= 6, ipnt= 166 (Z): anal= -0.04701160, fd= -0.04690587, err= -0.00010573 (at 1.70585555 0.97849550 0.22851657)
iface= 6, ipnt= 187 (Z): anal= -0.03910728, fd= -0.03899763, err= -0.00010965 (at 1.72649665 1.00747082 0.23317921)
iface= 6, ipnt= 195 (Z): anal= -0.03107225, fd= -0.03096597, err= -0.00010627 (at 1.74724168 1.03763226 0.23798524)
iface= 6, ipnt= 510 (Z): anal= -0.01008293, fd= -0.01018305, err= 0.00010012 (at 1.71939689 1.06994606 0.24262844)
iface= 6, ipnt= 512 (Z): anal= -0.01238132, fd= -0.01248399, err= 0.00010267 (at 1.72122287 1.06992925 0.24227089)
iface= 6, ipnt= 515 (Z): anal= -0.01084421, fd= -0.01094697, err= 0.00010276 (at 1.71751571 1.06705218 0.24210861)
iface= 6, ipnt= 534 (Z): anal= -0.00969728, fd= -0.00979778, err= 0.00010050 (at 1.71421115 1.06397151 0.24185628)
iface= 6, ipnt= 538 (Z): anal= -0.01158400, fd= -0.01168989, err= 0.00010589 (at 1.71286726 1.06088317 0.24114084)
...too many errors to list
d(Face)/d(thick) check complete with 903 total errors (errmax= 6.9855e-04)
iedge= 7, ipnt= 11 (X): anal= -0.00766138, fd= -0.00755509, err= -0.00010629 (at 1.51694211 0.80972700 0.20714140)
d(Edge)/d(thick) check complete with 1 total errors (errmax= 1.0629e-04)
d(Node)/d(thick) check complete with 0 total errors (errmax= 1.1068e-10)
*********************************************************
Starting configuration sensitivity wrt "thick[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "thick[4,1]" for ibody=22
iface= 3, ipnt= 110 (Z): anal= 0.01743144, fd= 0.01732420, err= 0.00010724 (at 1.69464653 0.93986175 0.23722630)
iface= 3, ipnt= 111 (Z): anal= 0.02290735, fd= 0.02278524, err= 0.00012211 (at 1.72071229 0.98052886 0.24274291)
iface= 3, ipnt= 112 (Z): anal= 0.02840008, fd= 0.02827534, err= 0.00012474 (at 1.74677804 1.02119597 0.24825951)
iface= 3, ipnt= 113 (Z): anal= 0.03391177, fd= 0.03379953, err= 0.00011224 (at 1.77284380 1.06186308 0.25377612)
iface= 3, ipnt= 158 (Z): anal= 0.02338592, fd= 0.02327754, err= 0.00010838 (at 1.69155476 0.96561759 0.24067556)
iface= 3, ipnt= 166 (Z): anal= 0.01810619, fd= 0.01799787, err= 0.00010833 (at 1.71586648 0.95748416 0.23938709)
iface= 3, ipnt= 177 (Z): anal= 0.03115341, fd= 0.03103282, err= 0.00012059 (at 1.75981092 1.04152952 0.25101782)
iface= 3, ipnt= 189 (Z): anal= 0.02565148, fd= 0.02552637, err= 0.00012512 (at 1.73374517 1.00086241 0.24550121)
iface= 3, ipnt= 191 (Z): anal= 0.03770211, fd= 0.03759956, err= 0.00010254 (at 1.78046187 1.07999383 0.25621898)
iface= 3, ipnt= 595 (Z): anal= 0.02691146, fd= 0.02701221, err= -0.00010076 (at 1.74213299 1.09632191 0.25370404)
...too many errors to list
iface= 6, ipnt= 109 (Z): anal= -0.01798284, fd= -0.01808770, err= 0.00010486 (at 1.69711674 0.94257289 0.22400740)
iface= 6, ipnt= 110 (Z): anal= -0.02018598, fd= -0.02029752, err= 0.00011154 (at 1.70753321 0.95883973 0.22655980)
iface= 6, ipnt= 111 (Z): anal= -0.02422535, fd= -0.02434461, err= 0.00011926 (at 1.72663007 0.98866228 0.23123918)
iface= 6, ipnt= 112 (Z): anal= -0.02863185, fd= -0.02875193, err= 0.00012009 (at 1.74746300 1.02119597 0.23634396)
iface= 6, ipnt= 113 (Z): anal= -0.03267029, fd= -0.03278300, err= 0.00011271 (at 1.76655986 1.05101852 0.24102335)
iface= 6, ipnt= 166 (Z): anal= -0.02489092, fd= -0.02501110, err= 0.00012019 (at 1.70585555 0.97849550 0.22851657)
iface= 6, ipnt= 175 (Z): anal= -0.01923115, fd= -0.01933666, err= 0.00010552 (at 1.72568095 0.96832873 0.22911709)
iface= 6, ipnt= 181 (Z): anal= -0.03487237, fd= -0.03497729, err= 0.00010492 (at 1.77697633 1.06728536 0.24357574)
iface= 6, ipnt= 183 (Z): anal= -0.02282149, fd= -0.02293173, err= 0.00011023 (at 1.74540778 0.99916795 0.23400338)
iface= 6, ipnt= 184 (Z): anal= -0.02206644, fd= -0.02217057, err= 0.00010414 (at 1.68654008 0.95680638 0.22477332)
...too many errors to list
d(Face)/d(thick) check complete with 237 total errors (errmax= 1.5653e-04)
d(Edge)/d(thick) check complete with 0 total errors (errmax= 6.0030e-05)
d(Node)/d(thick) check complete with 0 total errors (errmax= 1.0033e-10)
*********************************************************
Starting configuration sensitivity wrt "cambr[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "cambr[1,1]" for ibody=22
iface= 1, ipnt= 112 (X): anal= 0.01132953, fd= 0.01145096, err= -0.00012143 (at 1.32905763 0.34440545 0.20376242)
iface= 1, ipnt= 112 (Z): anal= 0.10169122, fd= 0.10278116, err= -0.00108994 (at 1.32905763 0.34440545 0.20376242)
iface= 1, ipnt= 114 (Z): anal= 0.37767399, fd= 0.37801359, err= -0.00033960 (at 1.10380300 0.08693730 0.23637145)
iface= 1, ipnt= 115 (X): anal= 0.03009963, fd= 0.03030452, err= -0.00020489 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 115 (Z): anal= 0.21092244, fd= 0.21235822, err= -0.00143578 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 116 (Z): anal= 0.36970974, fd= 0.37024926, err= -0.00053952 (at 1.13258591 0.11034349 0.23256417)
iface= 1, ipnt= 117 (X): anal= 0.01970197, fd= 0.01987315, err= -0.00017119 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 117 (Z): anal= 0.15438945, fd= 0.15573090, err= -0.00134145 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 118 (X): anal= 0.04667284, fd= 0.04678805, err= -0.00011521 (at 1.17327812 0.13040595 0.22725654)
iface= 1, ipnt= 118 (Z): anal= 0.36602833, fd= 0.36693186, err= -0.00090353 (at 1.17327812 0.13040595 0.22725654)
...too many errors to list
iface= 4, ipnt= 113 (Z): anal= 0.10185006, fd= 0.10118101, err= 0.00066905 (at 1.32736092 0.34440545 0.16794975)
iface= 4, ipnt= 114 (Z): anal= 0.15490552, fd= 0.15408141, err= 0.00082411 (at 1.30669455 0.30093680 0.16618159)
iface= 4, ipnt= 115 (Z): anal= 0.19572390, fd= 0.19484758, err= 0.00087632 (at 1.29079734 0.26749938 0.16482147)
iface= 4, ipnt= 116 (Z): anal= 0.25285845, fd= 0.25198910, err= 0.00086935 (at 1.26854124 0.22068698 0.16291729)
iface= 4, ipnt= 117 (Z): anal= 0.32627626, fd= 0.32552686, err= 0.00074940 (at 1.23992626 0.16049963 0.16046907)
iface= 4, ipnt= 118 (Z): anal= 0.37810474, fd= 0.37740669, err= 0.00069805 (at 1.16118566 0.12037472 0.16158422)
iface= 4, ipnt= 119 (Z): anal= 0.37826118, fd= 0.37774705, err= 0.00051413 (at 1.11960118 0.10031227 0.16364484)
iface= 4, ipnt= 120 (Z): anal= 0.26983430, fd= 0.26960398, err= 0.00023033 (at 1.33602738 0.10699975 0.15815932)
iface= 4, ipnt= 121 (Z): anal= 0.19953908, fd= 0.19919988, err= 0.00033920 (at 1.36294241 0.19059330 0.16252297)
iface= 4, ipnt= 122 (Z): anal= 0.13205156, fd= 0.13169178, err= 0.00035978 (at 1.38878084 0.27084312 0.16671208)
...too many errors to list
d(Face)/d(cambr) check complete with 1222 total errors (errmax= 1.4459e-03)
d(Edge)/d(cambr) check complete with 0 total errors (errmax= 2.2329e-05)
d(Node)/d(cambr) check complete with 0 total errors (errmax= 4.7946e-09)
*********************************************************
Starting configuration sensitivity wrt "cambr[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "cambr[2,1]" for ibody=22
iface= 1, ipnt= 112 (Z): anal= 0.22239287, fd= 0.22158824, err= 0.00080463 (at 1.32905763 0.34440545 0.20376242)
iface= 1, ipnt= 113 (Z): anal= 0.03026641, fd= 0.03015143, err= 0.00011498 (at 1.04420706 0.06687484 0.24073900)
iface= 1, ipnt= 114 (Z): anal= 0.05120302, fd= 0.05086054, err= 0.00034248 (at 1.10380300 0.08693730 0.23637145)
iface= 1, ipnt= 115 (X): anal= 0.02326920, fd= 0.02311791, err= 0.00015129 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 115 (Z): anal= 0.16305840, fd= 0.16199825, err= 0.00106015 (at 1.28794608 0.25412441 0.20992054)
iface= 1, ipnt= 116 (Z): anal= 0.06820836, fd= 0.06771090, err= 0.00049745 (at 1.13258591 0.11034349 0.23256417)
iface= 1, ipnt= 117 (X): anal= 0.02472381, fd= 0.02459743, err= 0.00012638 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 117 (Z): anal= 0.19374186, fd= 0.19275150, err= 0.00099037 (at 1.30926318 0.30093680 0.20672744)
iface= 1, ipnt= 118 (Z): anal= 0.08495949, fd= 0.08422312, err= 0.00073637 (at 1.17327812 0.13040595 0.22725654)
iface= 1, ipnt= 119 (X): anal= 0.01899353, fd= 0.01883675, err= 0.00015677 (at 1.25597042 0.18390582 0.21471018)
...too many errors to list
iface= 2, ipnt= 107 (Z): anal= 0.04326432, fd= 0.04340050, err= -0.00013618 (at 1.57309358 0.75008200 0.21621179)
iface= 2, ipnt= 110 (Z): anal= 0.17671601, fd= 0.17691033, err= -0.00019433 (at 1.45485172 0.56518250 0.20579158)
iface= 2, ipnt= 111 (Z): anal= 0.23808848, fd= 0.23819882, err= -0.00011034 (at 1.37077207 0.48764400 0.20312300)
iface= 2, ipnt= 112 (Z): anal= 0.14451896, fd= 0.14473930, err= -0.00022034 (at 1.48345862 0.60991625 0.20831260)
iface= 2, ipnt= 113 (Z): anal= 0.11226630, fd= 0.11248971, err= -0.00022341 (at 1.51206552 0.65465000 0.21083362)
iface= 2, ipnt= 114 (Z): anal= 0.07995553, fd= 0.08015556, err= -0.00020003 (at 1.54067243 0.69938375 0.21335463)
iface= 2, ipnt= 116 (Z): anal= 0.15034553, fd= 0.15048336, err= -0.00013782 (at 1.39484278 0.57114700 0.20706677)
iface= 2, ipnt= 117 (Z): anal= 0.11559867, fd= 0.11575380, err= -0.00015513 (at 1.43356215 0.62631863 0.20974873)
iface= 2, ipnt= 118 (Z): anal= 0.04604475, fd= 0.04615320, err= -0.00010844 (at 1.51100090 0.73666188 0.21511265)
iface= 2, ipnt= 119 (Z): anal= 0.07330744, fd= 0.07344883, err= -0.00014139 (at 1.48065328 0.69341925 0.21301057)
...too many errors to list
iface= 4, ipnt= 113 (Z): anal= 0.22400121, fd= 0.22445075, err= -0.00044954 (at 1.32736092 0.34440545 0.16794975)
iface= 4, ipnt= 114 (Z): anal= 0.19566687, fd= 0.19622048, err= -0.00055360 (at 1.30669455 0.30093680 0.16618159)
iface= 4, ipnt= 115 (Z): anal= 0.17386563, fd= 0.17445419, err= -0.00058857 (at 1.29079734 0.26749938 0.16482147)
iface= 4, ipnt= 116 (Z): anal= 0.14335643, fd= 0.14394012, err= -0.00058369 (at 1.26854124 0.22068698 0.16291729)
iface= 4, ipnt= 117 (Z): anal= 0.10417355, fd= 0.10467636, err= -0.00050281 (at 1.23992626 0.16049963 0.16046907)
iface= 4, ipnt= 118 (Z): anal= 0.07930870, fd= 0.07976748, err= -0.00045878 (at 1.16118566 0.12037472 0.16158422)
iface= 4, ipnt= 119 (Z): anal= 0.06259701, fd= 0.06290319, err= -0.00030619 (at 1.11960118 0.10031227 0.16364484)
iface= 4, ipnt= 120 (Z): anal= 0.04746612, fd= 0.04763862, err= -0.00017250 (at 1.33602738 0.10699975 0.15815932)
iface= 4, ipnt= 121 (Z): anal= 0.08457545, fd= 0.08482950, err= -0.00025405 (at 1.36294241 0.19059330 0.16252297)
iface= 4, ipnt= 122 (Z): anal= 0.12021619, fd= 0.12048565, err= -0.00026946 (at 1.38878084 0.27084312 0.16671208)
...too many errors to list
iface= 5, ipnt= 109 (Z): anal= 0.18859700, fd= 0.18846728, err= 0.00012972 (at 1.44556288 0.55027125 0.18154010)
iface= 5, ipnt= 110 (Z): anal= 0.15607425, fd= 0.15592096, err= 0.00015328 (at 1.47426737 0.59500500 0.18526816)
iface= 5, ipnt= 111 (Z): anal= 0.13655907, fd= 0.13639905, err= 0.00016002 (at 1.49149007 0.62184525 0.18750500)
iface= 5, ipnt= 112 (Z): anal= 0.10620155, fd= 0.10604343, err= 0.00015813 (at 1.51828092 0.66359675 0.19098453)
iface= 5, ipnt= 113 (Z): anal= 0.08668687, fd= 0.08653877, err= 0.00014810 (at 1.53550362 0.69043700 0.19322137)
iface= 5, ipnt= 132 (Z): anal= 0.12023662, fd= 0.12011353, err= 0.00012309 (at 1.52248369 0.62333638 0.18932631)
iface= 5, ipnt= 136 (Z): anal= 0.06373341, fd= 0.06361238, err= 0.00012102 (at 1.56139256 0.72025950 0.19611969)
iface= 5, ipnt= 150 (Z): anal= 0.07751432, fd= 0.07740393, err= 0.00011038 (at 1.56467130 0.68670919 0.19488010)
iface= 5, ipnt= 153 (Z): anal= 0.15728150, fd= 0.15717419, err= 0.00010730 (at 1.48744244 0.56592806 0.18450773)
iface= 5, ipnt= 154 (Z): anal= 0.20565369, fd= 0.20552729, err= 0.00012641 (at 1.40067526 0.53163219 0.17889893)
...too many errors to list
d(Face)/d(cambr) check complete with 995 total errors (errmax= 1.1053e-03)
d(Edge)/d(cambr) check complete with 0 total errors (errmax= 7.7579e-06)
d(Node)/d(cambr) check complete with 0 total errors (errmax= 1.7471e-09)
*********************************************************
Starting configuration sensitivity wrt "cambr[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "cambr[3,1]" for ibody=22
iface= 2, ipnt= 107 (Z): anal= 0.15704889, fd= 0.15691910, err= 0.00012979 (at 1.57309358 0.75008200 0.21621179)
iface= 2, ipnt= 110 (Z): anal= 0.06657485, fd= 0.06638965, err= 0.00018520 (at 1.45485172 0.56518250 0.20579158)
iface= 2, ipnt= 111 (Z): anal= 0.02961313, fd= 0.02950066, err= 0.00011246 (at 1.37077207 0.48764400 0.20312300)
iface= 2, ipnt= 112 (Z): anal= 0.08838074, fd= 0.08817076, err= 0.00020997 (at 1.48345862 0.60991625 0.20831260)
iface= 2, ipnt= 113 (Z): anal= 0.11023845, fd= 0.11002556, err= 0.00021289 (at 1.51206552 0.65465000 0.21083362)
iface= 2, ipnt= 114 (Z): anal= 0.13214988, fd= 0.13195925, err= 0.00019062 (at 1.54067243 0.69938375 0.21335463)
iface= 2, ipnt= 116 (Z): anal= 0.06055322, fd= 0.06039553, err= 0.00015768 (at 1.39484278 0.57114700 0.20706677)
iface= 2, ipnt= 117 (Z): anal= 0.08392409, fd= 0.08374662, err= 0.00017747 (at 1.43356215 0.62631863 0.20974873)
iface= 2, ipnt= 118 (Z): anal= 0.13066534, fd= 0.13054127, err= 0.00012407 (at 1.51100090 0.73666188 0.21511265)
iface= 2, ipnt= 119 (Z): anal= 0.11235371, fd= 0.11219195, err= 0.00016176 (at 1.48065328 0.69341925 0.21301057)
...too many errors to list
iface= 3, ipnt= 110 (Z): anal= 0.11476035, fd= 0.11487430, err= -0.00011394 (at 1.69464653 0.93986175 0.23722630)
iface= 3, ipnt= 111 (Z): anal= 0.09333439, fd= 0.09346415, err= -0.00012976 (at 1.72071229 0.98052886 0.24274291)
iface= 3, ipnt= 112 (Z): anal= 0.07187147, fd= 0.07200402, err= -0.00013255 (at 1.74677804 1.02119597 0.24825951)
iface= 3, ipnt= 113 (Z): anal= 0.05036681, fd= 0.05048609, err= -0.00011928 (at 1.77284380 1.06186308 0.25377612)
iface= 3, ipnt= 145 (Z): anal= 0.03588947, fd= 0.03599361, err= -0.00010414 (at 1.80057740 1.08016328 0.25607911)
iface= 3, ipnt= 156 (Z): anal= 0.05905142, fd= 0.05915664, err= -0.00010523 (at 1.76521227 0.99137342 0.24281688)
iface= 3, ipnt= 157 (Z): anal= 0.04413981, fd= 0.04424396, err= -0.00010415 (at 1.78952011 1.03339610 0.24885418)
iface= 3, ipnt= 166 (Z): anal= 0.10038401, fd= 0.10050668, err= -0.00012267 (at 1.71586648 0.95748416 0.23938709)
iface= 3, ipnt= 167 (Z): anal= 0.04189600, fd= 0.04200633, err= -0.00011034 (at 1.79468581 1.05677969 0.25256147)
iface= 3, ipnt= 174 (Z): anal= 0.05160263, fd= 0.05170894, err= -0.00010632 (at 1.77736619 1.01238476 0.24583553)
...too many errors to list
iface= 5, ipnt= 109 (Z): anal= 0.05981351, fd= 0.05992718, err= -0.00011367 (at 1.44556288 0.55027125 0.18154010)
iface= 5, ipnt= 110 (Z): anal= 0.08170476, fd= 0.08183907, err= -0.00013431 (at 1.47426737 0.59500500 0.18526816)
iface= 5, ipnt= 111 (Z): anal= 0.09484032, fd= 0.09498055, err= -0.00014022 (at 1.49149007 0.62184525 0.18750500)
iface= 5, ipnt= 112 (Z): anal= 0.11527281, fd= 0.11541139, err= -0.00013857 (at 1.51828092 0.66359675 0.19098453)
iface= 5, ipnt= 113 (Z): anal= 0.12840627, fd= 0.12853607, err= -0.00012980 (at 1.53550362 0.69043700 0.19322137)
iface= 5, ipnt= 132 (Z): anal= 0.08471386, fd= 0.08482770, err= -0.00011384 (at 1.52248369 0.62333638 0.18932631)
iface= 5, ipnt= 136 (Z): anal= 0.14014672, fd= 0.14025420, err= -0.00010749 (at 1.56139256 0.72025950 0.19611969)
iface= 5, ipnt= 150 (Z): anal= 0.10959630, fd= 0.10969899, err= -0.00010270 (at 1.56467130 0.68670919 0.19488010)
iface= 5, ipnt= 162 (Z): anal= 0.07438265, fd= 0.07450504, err= -0.00012238 (at 1.43128152 0.57711150 0.18261644)
iface= 5, ipnt= 163 (Z): anal= 0.14722035, fd= 0.14733296, err= -0.00011261 (at 1.53199271 0.72175063 0.19458890)
...too many errors to list
iface= 6, ipnt= 110 (Z): anal= 0.10538234, fd= 0.10528153, err= 0.00010081 (at 1.70753321 0.95883973 0.22655980)
iface= 6, ipnt= 111 (Z): anal= 0.08950690, fd= 0.08939909, err= 0.00010781 (at 1.72663007 0.98866228 0.23123918)
iface= 6, ipnt= 112 (Z): anal= 0.07218389, fd= 0.07207531, err= 0.00010858 (at 1.74746300 1.02119597 0.23634396)
iface= 6, ipnt= 113 (Z): anal= 0.05630144, fd= 0.05619952, err= 0.00010192 (at 1.76655986 1.05101852 0.24102335)
iface= 6, ipnt= 133 (Z): anal= 0.06209854, fd= 0.06196371, err= 0.00013484 (at 1.76240842 0.98595114 0.23446465)
iface= 6, ipnt= 134 (Z): anal= 0.08229387, fd= 0.08218172, err= 0.00011216 (at 1.73025210 0.93037276 0.22577280)
iface= 6, ipnt= 135 (Z): anal= 0.03892880, fd= 0.03880035, err= 0.00012845 (at 1.79927055 1.04966295 0.24442848)
iface= 6, ipnt= 137 (Z): anal= 0.07219855, fd= 0.07207224, err= 0.00012632 (at 1.74633026 0.95816195 0.23011873)
iface= 6, ipnt= 138 (Z): anal= 0.05224095, fd= 0.05210400, err= 0.00013695 (at 1.77809443 1.01306255 0.23870458)
iface= 6, ipnt= 152 (Z): anal= 0.03054603, fd= 0.03043071, err= 0.00011532 (at 1.81260366 1.07270764 0.24803242)
...too many errors to list
d(Face)/d(cambr) check complete with 119 total errors (errmax= 2.4292e-04)
d(Edge)/d(cambr) check complete with 0 total errors (errmax= 8.2290e-06)
d(Node)/d(cambr) check complete with 0 total errors (errmax= 1.0773e-09)
*********************************************************
Starting configuration sensitivity wrt "cambr[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "cambr[4,1]" for ibody=22
iface= 3, ipnt= 110 (Z): anal= 0.03836741, fd= 0.03826280, err= 0.00010462 (at 1.69464653 0.93986175 0.23722630)
iface= 3, ipnt= 111 (Z): anal= 0.05041506, fd= 0.05029595, err= 0.00011912 (at 1.72071229 0.98052886 0.24274291)
iface= 3, ipnt= 112 (Z): anal= 0.06249638, fd= 0.06237471, err= 0.00012167 (at 1.74677804 1.02119597 0.24825951)
iface= 3, ipnt= 113 (Z): anal= 0.07461533, fd= 0.07450587, err= 0.00010946 (at 1.77284380 1.06186308 0.25377612)
iface= 3, ipnt= 145 (Z): anal= 0.07066147, fd= 0.07055540, err= 0.00010606 (at 1.80057740 1.08016328 0.25607911)
iface= 3, ipnt= 148 (Z): anal= 0.02773449, fd= 0.02762699, err= 0.00010750 (at 1.74090442 0.94935074 0.23677958)
iface= 3, ipnt= 156 (Z): anal= 0.03616275, fd= 0.03604318, err= 0.00011957 (at 1.76521227 0.99137342 0.24281688)
iface= 3, ipnt= 157 (Z): anal= 0.04463679, fd= 0.04451844, err= 0.00011835 (at 1.78952011 1.03339610 0.24885418)
iface= 3, ipnt= 166 (Z): anal= 0.04147184, fd= 0.04135332, err= 0.00011851 (at 1.71586648 0.95748416 0.23938709)
iface= 3, ipnt= 167 (Z): anal= 0.05773277, fd= 0.05761414, err= 0.00011863 (at 1.79468581 1.05677969 0.25256147)
...too many errors to list
iface= 6, ipnt= 109 (Z): anal= 0.03952649, fd= 0.03962958, err= -0.00010309 (at 1.69711674 0.94257289 0.22400740)
iface= 6, ipnt= 110 (Z): anal= 0.04437080, fd= 0.04448046, err= -0.00010966 (at 1.70753321 0.95883973 0.22655980)
iface= 6, ipnt= 111 (Z): anal= 0.05325393, fd= 0.05337118, err= -0.00011725 (at 1.72663007 0.98866228 0.23123918)
iface= 6, ipnt= 112 (Z): anal= 0.06294659, fd= 0.06306465, err= -0.00011806 (at 1.74746300 1.02119597 0.23634396)
iface= 6, ipnt= 113 (Z): anal= 0.07183201, fd= 0.07194283, err= -0.00011081 (at 1.76655986 1.05101852 0.24102335)
iface= 6, ipnt= 133 (Z): anal= 0.03576163, fd= 0.03588059, err= -0.00011896 (at 1.76240842 0.98595114 0.23446465)
iface= 6, ipnt= 135 (Z): anal= 0.04870493, fd= 0.04881825, err= -0.00011333 (at 1.79927055 1.04966295 0.24442848)
iface= 6, ipnt= 137 (Z): anal= 0.03011591, fd= 0.03022735, err= -0.00011144 (at 1.74633026 0.95816195 0.23011873)
iface= 6, ipnt= 138 (Z): anal= 0.04127018, fd= 0.04139101, err= -0.00012082 (at 1.77809443 1.01306255 0.23870458)
iface= 6, ipnt= 152 (Z): anal= 0.05338284, fd= 0.05348458, err= -0.00010174 (at 1.81260366 1.07270764 0.24803242)
...too many errors to list
d(Face)/d(cambr) check complete with 35 total errors (errmax= 1.2745e-04)
d(Edge)/d(cambr) check complete with 0 total errors (errmax= 3.4928e-06)
d(Node)/d(cambr) check complete with 0 total errors (errmax= 6.2252e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 7.175 sec
Sensitivity checks complete with 9664 total errors (max config err= 4.4291e-03) with 0 suppressions
real 0m15.941s
user 0m16.748s
sys 0m0.016s
++++ set +x
data/basic/design0g -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 9 / 180 )
data/basic/design0h.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0h.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "rx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rx" for ibody=1
d(Face)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(rx) check complete with 0 total errors (errmax= 2.3907e-10)
d(Node)/d(rx) check complete with 0 total errors (errmax= 1.0606e-27)
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "rx" for ibody=2
d(Face)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "rx" for ibody=3
d(Face)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(rx) check complete with 0 total errors (errmax= 2.4392e-10)
d(Node)/d(rx) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ry"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ry" for ibody=1
d(Face)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(ry) check complete with 0 total errors (errmax= 3.8353e-10)
d(Node)/d(ry) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "ry" for ibody=2
d(Face)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(ry) check complete with 0 total errors (errmax= 3.9702e-10)
d(Node)/d(ry) check complete with 0 total errors (errmax= 9.7547e-26)
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "ry" for ibody=3
d(Face)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "rz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rz" for ibody=1
d(Face)/d(rz) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(rz) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(rz) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "rz" for ibody=2
d(Face)/d(rz) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(rz) check complete with 0 total errors (errmax= 4.8525e-10)
d(Node)/d(rz) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "rz" for ibody=3
d(Face)/d(rz) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(rz) check complete with 0 total errors (errmax= 3.2152e-10)
d(Node)/d(rz) check complete with 0 total errors (errmax= 1.3257e-27)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8525e-10) with 0 suppressions
real 0m0.499s
user 0m0.484s
sys 0m0.012s
++++ set +x
data/basic/design0h -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 10 / 180 )
data/basic/design0i.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0i.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "rx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "rx" for ibody=2
d(Face)/d(rx) check complete with 0 total errors (errmax= 3.8780e-10)
d(Edge)/d(rx) check complete with 0 total errors (errmax= 2.3907e-10)
d(Node)/d(rx) check complete with 0 total errors (errmax= 1.0606e-27)
*********************************************************
Starting configuration sensitivity wrt "ry"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "ry" for ibody=2
d(Face)/d(ry) check complete with 0 total errors (errmax= 5.0985e-10)
d(Edge)/d(ry) check complete with 0 total errors (errmax= 3.8353e-10)
d(Node)/d(ry) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "span" for ibody=2
d(Face)/d(span) check complete with 0 total errors (errmax= 3.9347e-10)
d(Edge)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.008 sec
Sensitivity checks complete with 0 total errors (max config err= 5.0985e-10) with 0 suppressions
real 0m0.279s
user 0m0.408s
sys 0m0.000s
++++ set +x
data/basic/design0i -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 11 / 180 )
data/basic/design0j.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0j.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xle[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "xle[1,1]" for ibody=26
d(Face)/d(xle) check complete with 0 total errors (errmax= 4.4613e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 2.9998e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 1.3930e-10)
*********************************************************
Starting configuration sensitivity wrt "xle[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "xle[2,1]" for ibody=26
d(Face)/d(xle) check complete with 0 total errors (errmax= 4.8477e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 5.5679e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 3.0478e-10)
*********************************************************
Starting configuration sensitivity wrt "xle[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "xle[3,1]" for ibody=26
d(Face)/d(xle) check complete with 0 total errors (errmax= 6.0812e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 3.0454e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 8.2740e-11)
*********************************************************
Starting configuration sensitivity wrt "xle[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "xle[4,1]" for ibody=26
d(Face)/d(xle) check complete with 0 total errors (errmax= 3.9350e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 5.0869e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 8.2740e-11)
*********************************************************
Starting configuration sensitivity wrt "yle[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "yle[1,1]" for ibody=26
d(Face)/d(yle) check complete with 0 total errors (errmax= 3.9350e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 4.3181e-11)
d(Node)/d(yle) check complete with 0 total errors (errmax= 4.3368e-19)
*********************************************************
Starting configuration sensitivity wrt "yle[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "yle[2,1]" for ibody=26
d(Face)/d(yle) check complete with 0 total errors (errmax= 3.9204e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 1.3930e-10)
d(Node)/d(yle) check complete with 0 total errors (errmax= 2.8282e-11)
*********************************************************
Starting configuration sensitivity wrt "yle[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "yle[3,1]" for ibody=26
d(Face)/d(yle) check complete with 0 total errors (errmax= 4.2856e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 1.9376e-10)
d(Node)/d(yle) check complete with 0 total errors (errmax= 8.2740e-11)
*********************************************************
Starting configuration sensitivity wrt "yle[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "yle[4,1]" for ibody=26
d(Face)/d(yle) check complete with 0 total errors (errmax= 3.9350e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 7.4887e-10)
d(Node)/d(yle) check complete with 0 total errors (errmax= 3.0478e-10)
*********************************************************
Starting configuration sensitivity wrt "zle[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "zle[1,1]" for ibody=26
d(Face)/d(zle) check complete with 0 total errors (errmax= 3.9350e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 8.7658e-11)
d(Node)/d(zle) check complete with 0 total errors (errmax= 2.8282e-11)
*********************************************************
Starting configuration sensitivity wrt "zle[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "zle[2,1]" for ibody=26
d(Face)/d(zle) check complete with 0 total errors (errmax= 3.9264e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 6.8629e-11)
d(Node)/d(zle) check complete with 0 total errors (errmax= 5.2636e-13)
*********************************************************
Starting configuration sensitivity wrt "zle[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "zle[3,1]" for ibody=26
d(Face)/d(zle) check complete with 0 total errors (errmax= 3.9423e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 5.3831e-11)
d(Node)/d(zle) check complete with 0 total errors (errmax= 5.2636e-13)
*********************************************************
Starting configuration sensitivity wrt "zle[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "zle[4,1]" for ibody=26
d(Face)/d(zle) check complete with 0 total errors (errmax= 3.9350e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 8.2670e-11)
d(Node)/d(zle) check complete with 0 total errors (errmax= 2.8282e-11)
*********************************************************
Starting configuration sensitivity wrt "twist[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "twist[1,1]" for ibody=26
d(Face)/d(twist) check complete with 0 total errors (errmax= 4.9250e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.6003e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 6.3508e-11)
*********************************************************
Starting configuration sensitivity wrt "twist[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "twist[2,1]" for ibody=26
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.5194e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 2.8955e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.2480e-10)
*********************************************************
Starting configuration sensitivity wrt "twist[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "twist[3,1]" for ibody=26
d(Face)/d(twist) check complete with 0 total errors (errmax= 2.0500e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.9862e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 6.3426e-11)
*********************************************************
Starting configuration sensitivity wrt "twist[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "twist[4,1]" for ibody=26
d(Face)/d(twist) check complete with 0 total errors (errmax= 2.1869e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 2.0621e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.0378e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "chord[1,1]" for ibody=26
d(Face)/d(chord) check complete with 0 total errors (errmax= 1.0465e-07)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 1.0570e-07)
d(Node)/d(chord) check complete with 0 total errors (errmax= 4.0151e-11)
*********************************************************
Starting configuration sensitivity wrt "chord[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "chord[2,1]" for ibody=26
d(Face)/d(chord) check complete with 0 total errors (errmax= 7.1819e-08)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 7.2515e-08)
d(Node)/d(chord) check complete with 0 total errors (errmax= 2.4029e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "chord[3,1]" for ibody=26
d(Face)/d(chord) check complete with 0 total errors (errmax= 6.6099e-08)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 6.6250e-08)
d(Node)/d(chord) check complete with 0 total errors (errmax= 1.2156e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "chord[4,1]" for ibody=26
d(Face)/d(chord) check complete with 0 total errors (errmax= 1.7147e-08)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 1.7699e-08)
d(Node)/d(chord) check complete with 0 total errors (errmax= 1.6448e-10)
*********************************************************
Starting configuration sensitivity wrt "thick[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "thick[1,1]" for ibody=26
iface= 1, ipnt= 101 (Z): anal= 0.19674015, fd= 0.19684969, err= -0.00010954 (at 0.95178405 0.26839919 0.23854505)
iface= 1, ipnt= 128 (Z): anal= -0.19456197, fd= -0.19467029, err= 0.00010832 (at 0.94410302 0.26839916 0.13997664)
iface= 1, ipnt= 133 (Z): anal= 0.36252072, fd= 0.36276650, err= -0.00024578 (at 0.81576328 0.13525865 0.26095889)
iface= 1, ipnt= 134 (Z): anal= 0.35837901, fd= 0.35863947, err= -0.00026046 (at 0.85136725 0.13642289 0.25690042)
iface= 1, ipnt= 158 (Z): anal= -0.35106767, fd= -0.35132281, err= 0.00025515 (at 0.83806556 0.13642292 0.12715306)
iface= 1, ipnt= 159 (Z): anal= -0.35445268, fd= -0.35469300, err= 0.00024031 (at 0.80230353 0.13525867 0.12987886)
iface= 1, ipnt= 302 (Z): anal= 0.22985993, fd= 0.22999924, err= -0.00013931 (at 0.92489000 0.24179629 0.24296953)
iface= 1, ipnt= 303 (Z): anal= 0.22678207, fd= 0.22690254, err= -0.00012047 (at 0.95990670 0.24267007 0.23970615)
iface= 1, ipnt= 310 (Z): anal= 0.26299653, fd= 0.26316559, err= -0.00016906 (at 0.89786857 0.21519377 0.24741979)
iface= 1, ipnt= 311 (Z): anal= 0.25952826, fd= 0.25968144, err= -0.00015318 (at 0.93349005 0.21617436 0.24388445)
...too many errors to list
iface= 4, ipnt= 109 (Z): anal= -0.19246519, fd= -0.19257784, err= 0.00011265 (at 0.87212627 0.26920909 0.14513220)
iface= 4, ipnt= 138 (Z): anal= 0.19522962, fd= 0.19533827, err= -0.00010865 (at 0.89002660 0.26841573 0.24275376)
iface= 4, ipnt= 143 (Z): anal= -0.35346106, fd= -0.35367034, err= 0.00020929 (at 0.74802936 0.13525593 0.13509306)
iface= 4, ipnt= 144 (Z): anal= -0.34929472, fd= -0.34956614, err= 0.00027142 (at 0.72128826 0.13641372 0.13821230)
iface= 4, ipnt= 145 (Z): anal= -0.34055775, fd= -0.34068559, err= 0.00012784 (at 0.67649605 0.13731249 0.14382077)
iface= 4, ipnt= 171 (Z): anal= 0.35594229, fd= 0.35620080, err= -0.00025850 (at 0.72153002 0.13639769 0.26947330)
iface= 4, ipnt= 172 (Z): anal= 0.36141885, fd= 0.36166384, err= -0.00024499 (at 0.75498317 0.13524881 0.26685964)
iface= 4, ipnt= 331 (Z): anal= -0.22660165, fd= -0.22671277, err= 0.00011111 (at 0.86446233 0.24182741 0.14168008)
iface= 4, ipnt= 332 (Z): anal= -0.22404592, fd= -0.22419039, err= 0.00014447 (at 0.84166765 0.24271619 0.14377817)
iface= 4, ipnt= 340 (Z): anal= -0.25847578, fd= -0.25861257, err= 0.00013679 (at 0.83531160 0.21521879 0.14004133)
...too many errors to list
d(Face)/d(thick) check complete with 91 total errors (errmax= 3.6380e-04)
iedge= 2, ipnt= 1 (Z): anal= -0.53203171, fd= -0.53230214, err= 0.00027043 (at 0.65451353 -0.00000000 0.12039210)
iedge= 2, ipnt= 2 (Z): anal= -0.53038860, fd= -0.53075578, err= 0.00036717 (at 0.68061391 -0.00000000 0.11761966)
iedge= 2, ipnt= 3 (Z): anal= -0.52342302, fd= -0.52365538, err= 0.00023236 (at 0.73244516 -0.00000000 0.11271432)
iedge= 2, ipnt= 29 (Z): anal= 0.51965830, fd= 0.51988899, err= -0.00023069 (at 0.75141334 0.00000000 0.27378001)
iedge= 2, ipnt= 30 (Z): anal= 0.52849204, fd= 0.52885790, err= -0.00036586 (at 0.69986055 0.00000000 0.28104988)
iedge= 2, ipnt= 31 (Z): anal= 0.53107975, fd= 0.53134969, err= -0.00026994 (at 0.67383017 0.00000000 0.28441670)
iedge= 11, ipnt= 1 (Z): anal= 0.53203171, fd= 0.53230214, err= -0.00027043 (at 0.62157339 0.00000000 0.29057081)
iedge= 11, ipnt= 2 (Z): anal= 0.53038860, fd= 0.53075578, err= -0.00036717 (at 0.59547301 0.00000000 0.29334326)
iedge= 11, ipnt= 3 (Z): anal= 0.52342302, fd= 0.52365538, err= -0.00023236 (at 0.54364175 0.00000000 0.29824859)
iedge= 11, ipnt= 33 (Z): anal= -0.51965830, fd= -0.51988899, err= 0.00023069 (at 0.52467357 -0.00000000 0.13718291)
iedge= 11, ipnt= 34 (Z): anal= -0.52849204, fd= -0.52885790, err= 0.00036586 (at 0.57622636 -0.00000000 0.12991304)
iedge= 11, ipnt= 35 (Z): anal= -0.53107975, fd= -0.53134969, err= 0.00026994 (at 0.60225675 -0.00000000 0.12654621)
d(Edge)/d(thick) check complete with 12 total errors (errmax= 3.6717e-04)
d(Node)/d(thick) check complete with 0 total errors (errmax= 4.3254e-11)
*********************************************************
Starting configuration sensitivity wrt "thick[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "thick[2,1]" for ibody=26
iface= 1, ipnt= 101 (Z): anal= 0.17635727, fd= 0.17648496, err= -0.00012769 (at 0.95178405 0.26839919 0.23854505)
iface= 1, ipnt= 102 (Z): anal= 0.17507027, fd= 0.17517698, err= -0.00010671 (at 0.98601560 0.26916012 0.23558366)
iface= 1, ipnt= 127 (Z): anal= -0.17363432, fd= -0.17374016, err= 0.00010583 (at 0.97845349 0.26916008 0.13831202)
iface= 1, ipnt= 128 (Z): anal= -0.17480428, fd= -0.17493084, err= 0.00012656 (at 0.94410302 0.26839916 0.13997664)
iface= 1, ipnt= 187 (Z): anal= 0.26235315, fd= 0.26254359, err= -0.00019044 (at 1.08491917 0.40144535 0.21678551)
iface= 1, ipnt= 188 (Z): anal= 0.25993999, fd= 0.26006738, err= -0.00012739 (at 1.11386290 0.40157827 0.21559587)
iface= 1, ipnt= 195 (Z): anal= 0.24548274, fd= 0.24566640, err= -0.00018366 (at 1.05843979 0.37484709 0.22108601)
iface= 1, ipnt= 196 (Z): anal= 0.24324527, fd= 0.24337404, err= -0.00012877 (at 1.08855385 0.37512037 0.21951654)
iface= 1, ipnt= 203 (Z): anal= 0.22839251, fd= 0.22856586, err= -0.00017335 (at 1.03189236 0.34823529 0.22541411)
iface= 1, ipnt= 204 (Z): anal= 0.22636359, fd= 0.22649068, err= -0.00012710 (at 1.06313479 0.34863896 0.22347571)
...too many errors to list
iface= 2, ipnt= 119 (Z): anal= 0.17630045, fd= 0.17642930, err= -0.00012885 (at 1.24379228 0.57139718 0.21745831)
iface= 2, ipnt= 140 (Z): anal= -0.19225113, fd= -0.19240067, err= 0.00014954 (at 1.21721079 0.54936098 0.16429612)
iface= 2, ipnt= 277 (Z): anal= 0.15861548, fd= 0.15872461, err= -0.00010913 (at 1.26554983 0.59508116 0.21829525)
iface= 2, ipnt= 324 (Z): anal= -0.15723464, fd= -0.15734993, err= 0.00011528 (at 1.25812861 0.59679830 0.16884490)
iface= 2, ipnt= 330 (Z): anal= -0.17473637, fd= -0.17486933, err= 0.00013296 (at 1.23774948 0.57309497 0.16657228)
iface= 2, ipnt= 331 (Z): anal= 0.19405514, fd= 0.19420290, err= -0.00014777 (at 1.22180468 0.54764888 0.21662831)
iface= 2, ipnt= 337 (Z): anal= 0.21188680, fd= 0.21205160, err= -0.00016479 (at 1.19962317 0.52380679 0.21580313)
iface= 2, ipnt= 343 (Z): anal= 0.22979043, fd= 0.22996929, err= -0.00017886 (at 1.17730816 0.49985472 0.21498054)
iface= 2, ipnt= 349 (Z): anal= 0.24775083, fd= 0.24793988, err= -0.00018905 (at 1.15491513 0.47579326 0.21415889)
iface= 2, ipnt= 355 (Z): anal= 0.26542075, fd= 0.26561565, err= -0.00019489 (at 1.13328388 0.45200476 0.21333972)
...too many errors to list
iface= 4, ipnt= 108 (Z): anal= -0.17450878, fd= -0.17460938, err= 0.00010059 (at 0.89363749 0.26843282 0.14331714)
iface= 4, ipnt= 109 (Z): anal= -0.17388445, fd= -0.17401736, err= 0.00013291 (at 0.87212627 0.26920909 0.14513220)
iface= 4, ipnt= 137 (Z): anal= 0.17315591, fd= 0.17326141, err= -0.00010550 (at 0.85720566 0.26917686 0.24434093)
iface= 4, ipnt= 138 (Z): anal= 0.17543305, fd= 0.17556003, err= -0.00012698 (at 0.89002660 0.26841573 0.24275376)
iface= 4, ipnt= 201 (Z): anal= -0.26508847, fd= -0.26523120, err= 0.00014273 (at 1.03950234 0.40145835 0.15150318)
iface= 4, ipnt= 202 (Z): anal= -0.26411242, fd= -0.26430568, err= 0.00019326 (at 1.02435625 0.40159538 0.15202155)
iface= 4, ipnt= 203 (Z): anal= -0.26014609, fd= -0.26026398, err= 0.00011789 (at 0.99513358 0.40170400 0.15323525)
iface= 4, ipnt= 210 (Z): anal= -0.24681438, fd= -0.24695305, err= 0.00013867 (at 1.01037872 0.37486806 0.14986636)
iface= 4, ipnt= 211 (Z): anal= -0.24592841, fd= -0.24611542, err= 0.00018701 (at 0.99404207 0.37514950 0.15062146)
iface= 4, ipnt= 212 (Z): anal= -0.24209931, fd= -0.24220906, err= 0.00010975 (at 0.96327324 0.37537197 0.15225767)
...too many errors to list
iface= 5, ipnt= 126 (Z): anal= -0.19163581, fd= -0.19178469, err= 0.00014887 (at 1.16369959 0.54957586 0.16449013)
iface= 5, ipnt= 149 (Z): anal= 0.17690431, fd= 0.17703915, err= -0.00013484 (at 1.18340214 0.57185630 0.21764105)
iface= 5, ipnt= 294 (Z): anal= -0.15625707, fd= -0.15637025, err= 0.00011318 (at 1.20240849 0.59717819 0.16885890)
iface= 5, ipnt= 301 (Z): anal= -0.17392559, fd= -0.17405781, err= 0.00013221 (at 1.18299422 0.57339815 0.16668167)
iface= 5, ipnt= 359 (Z): anal= 0.15919709, fd= 0.15931411, err= -0.00011702 (at 1.20485217 0.59560433 0.21835797)
iface= 5, ipnt= 360 (Z): anal= -0.20939478, fd= -0.20955658, err= 0.00016181 (at 1.14446934 0.52568417 0.16228257)
iface= 5, ipnt= 367 (Z): anal= -0.22720615, fd= -0.22737597, err= 0.00016982 (at 1.12523786 0.50169971 0.16005793)
iface= 5, ipnt= 368 (Z): anal= -0.22274315, fd= -0.22287560, err= 0.00013245 (at 1.10224770 0.50347676 0.16073996)
iface= 5, ipnt= 374 (Z): anal= -0.24506749, fd= -0.24523956, err= 0.00017207 (at 1.10594879 0.47760981 0.15781622)
iface= 5, ipnt= 375 (Z): anal= -0.24124708, fd= -0.24140904, err= 0.00016196 (at 1.08519532 0.47913755 0.15843324)
...too many errors to list
d(Face)/d(thick) check complete with 94 total errors (errmax= 1.9490e-04)
iedge= 4, ipnt= 1 (Z): anal= -0.28418854, fd= -0.28438528, err= 0.00019674 (at 1.11055181 0.42799900 0.15268538)
iedge= 4, ipnt= 2 (Z): anal= -0.28009341, fd= -0.28021775, err= 0.00012434 (at 1.13829712 0.42799900 0.15274855)
iedge= 4, ipnt= 24 (Z): anal= 0.27993736, fd= 0.28006163, err= -0.00012427 (at 1.13908294 0.42799900 0.21171571)
iedge= 4, ipnt= 25 (Z): anal= 0.28410996, fd= 0.28430664, err= -0.00019668 (at 1.11134916 0.42799900 0.21251821)
iedge= 12, ipnt= 1 (Z): anal= 0.28418854, fd= 0.28438528, err= -0.00019674 (at 1.05533156 0.42799900 0.21326472)
iedge= 12, ipnt= 2 (Z): anal= 0.28009341, fd= 0.28021775, err= -0.00012434 (at 1.02758625 0.42799900 0.21320155)
iedge= 12, ipnt= 26 (Z): anal= -0.27993736, fd= -0.28006163, err= 0.00012427 (at 1.02680043 0.42799900 0.15423439)
iedge= 12, ipnt= 27 (Z): anal= -0.28410996, fd= -0.28430664, err= 0.00019668 (at 1.05453421 0.42799900 0.15343189)
iedge= 12, ipnt= 28 (Z): anal= -0.28523842, fd= -0.28538340, err= 0.00014498 (at 1.06852025 0.42799900 0.15313669)
d(Edge)/d(thick) check complete with 9 total errors (errmax= 1.9674e-04)
d(Node)/d(thick) check complete with 0 total errors (errmax= 2.2407e-10)
*********************************************************
Starting configuration sensitivity wrt "thick[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "thick[3,1]" for ibody=26
iface= 2, ipnt= 234 (Z): anal= -0.17874431, fd= -0.17887473, err= 0.00013042 (at 1.41966003 0.78635799 0.18695387)
iface= 2, ipnt= 240 (Z): anal= -0.16706653, fd= -0.16719297, err= 0.00012645 (at 1.39960348 0.76297499 0.18472407)
iface= 2, ipnt= 246 (Z): anal= -0.15517398, fd= -0.15529418, err= 0.00012020 (at 1.37937977 0.73921529 0.18246049)
iface= 2, ipnt= 252 (Z): anal= -0.14327011, fd= -0.14338210, err= 0.00011198 (at 1.35917094 0.71545256 0.18019420)
iface= 2, ipnt= 258 (Z): anal= -0.13136420, fd= -0.13146636, err= 0.00010216 (at 1.33897670 0.69169523 0.17792605)
iface= 3, ipnt= 321 (Z): anal= -0.15080019, fd= -0.15090630, err= 0.00010611 (at 1.50601613 0.87598737 0.20137110)
iface= 3, ipnt= 326 (Z): anal= -0.16290129, fd= -0.16302172, err= 0.00012043 (at 1.48413804 0.85406044 0.19732328)
iface= 3, ipnt= 331 (Z): anal= -0.17496781, fd= -0.17509643, err= 0.00012862 (at 1.46229349 0.83208320 0.19328590)
iface= 3, ipnt= 336 (Z): anal= -0.18119098, fd= -0.18132114, err= 0.00013016 (at 1.45078119 0.82074879 0.19119972)
iface= 5, ipnt= 121 (Z): anal= 0.13145517, fd= 0.13155751, err= -0.00010234 (at 1.29140599 0.69043234 0.22123539)
iface= 5, ipnt= 251 (Z): anal= 0.18504561, fd= 0.18517772, err= -0.00013211 (at 1.38973857 0.79750368 0.22453602)
iface= 5, ipnt= 258 (Z): anal= 0.17893248, fd= 0.17906362, err= -0.00013114 (at 1.37840696 0.78525533 0.22415214)
iface= 5, ipnt= 265 (Z): anal= 0.16714568, fd= 0.16727278, err= -0.00012711 (at 1.35675647 0.76164673 0.22342180)
iface= 5, ipnt= 272 (Z): anal= 0.15526355, fd= 0.15538425, err= -0.00012070 (at 1.33496720 0.73790080 0.22269004)
iface= 5, ipnt= 279 (Z): anal= 0.14336398, fd= 0.14347629, err= -0.00011231 (at 1.31317849 0.71416115 0.22196122)
iface= 6, ipnt= 299 (Z): anal= 0.15239663, fd= 0.15250503, err= -0.00010840 (at 1.45258834 0.87633305 0.23313271)
iface= 6, ipnt= 303 (Z): anal= 0.16463913, fd= 0.16476163, err= -0.00012251 (at 1.43573768 0.85443506 0.23045250)
iface= 6, ipnt= 307 (Z): anal= 0.17686441, fd= 0.17699463, err= -0.00013022 (at 1.41849799 0.83241849 0.22772923)
iface= 6, ipnt= 311 (Z): anal= 0.18328475, fd= 0.18341643, err= -0.00013168 (at 1.40957410 0.82084209 0.22629741)
d(Face)/d(thick) check complete with 19 total errors (errmax= 1.3211e-04)
iedge= 7, ipnt= 1 (Z): anal= -0.19113579, fd= -0.19126811, err= 0.00013232 (at 1.43974172 0.80972700 0.18918128)
iedge= 13, ipnt= 1 (Z): anal= 0.19113579, fd= 0.19126811, err= -0.00013232 (at 1.40100059 0.80972700 0.22491872)
d(Edge)/d(thick) check complete with 2 total errors (errmax= 1.3232e-04)
d(Node)/d(thick) check complete with 0 total errors (errmax= 2.5761e-10)
*********************************************************
Starting configuration sensitivity wrt "thick[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "thick[4,1]" for ibody=26
d(Face)/d(thick) check complete with 0 total errors (errmax= 1.9438e-05)
d(Edge)/d(thick) check complete with 0 total errors (errmax= 1.9932e-05)
d(Node)/d(thick) check complete with 0 total errors (errmax= 4.5598e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.487 sec
Sensitivity checks complete with 227 total errors (max config err= 3.6717e-04) with 0 suppressions
real 0m5.142s
user 0m5.196s
sys 0m0.008s
++++ set +x
data/basic/design0j -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 12 / 180 )
data/basic/design0k.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0k.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "x1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "x1" for ibody=6
d(Face)/d(x1) check complete with 0 total errors (errmax= 1.7421e-09)
d(Edge)/d(x1) check complete with 0 total errors (errmax= 6.1495e-10)
d(Node)/d(x1) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "x1" for ibody=13
d(Face)/d(x1) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(x1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x1) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "x1" for ibody=19
d(Face)/d(x1) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(x1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x1) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "x2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "x2" for ibody=6
d(Face)/d(x2) check complete with 0 total errors (errmax= 1.1826e-09)
d(Edge)/d(x2) check complete with 0 total errors (errmax= 1.0893e-09)
d(Node)/d(x2) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "x2" for ibody=13
d(Face)/d(x2) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(x2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x2) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "x2" for ibody=19
d(Face)/d(x2) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(x2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x2) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "x3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "x3" for ibody=6
d(Face)/d(x3) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(x3) check complete with 0 total errors (errmax= 1.0280e-09)
d(Node)/d(x3) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "x3" for ibody=13
d(Face)/d(x3) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(x3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x3) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "x3" for ibody=19
d(Face)/d(x3) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(x3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x3) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "x4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "x4" for ibody=6
d(Face)/d(x4) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(x4) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x4) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "x4" for ibody=13
d(Face)/d(x4) check complete with 0 total errors (errmax= 5.1762e-10)
d(Edge)/d(x4) check complete with 0 total errors (errmax= 1.8428e-10)
d(Node)/d(x4) check complete with 0 total errors (errmax= 8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "x4" for ibody=19
d(Face)/d(x4) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(x4) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x4) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "x5"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "x5" for ibody=6
d(Face)/d(x5) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(x5) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x5) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "x5" for ibody=13
d(Face)/d(x5) check complete with 0 total errors (errmax= 4.4254e-10)
d(Edge)/d(x5) check complete with 0 total errors (errmax= 2.5080e-10)
d(Node)/d(x5) check complete with 0 total errors (errmax= 2.8756e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "x5" for ibody=19
d(Face)/d(x5) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(x5) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x5) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "x6"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "x6" for ibody=6
d(Face)/d(x6) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(x6) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x6) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "x6" for ibody=13
d(Face)/d(x6) check complete with 0 total errors (errmax= 3.9155e-10)
d(Edge)/d(x6) check complete with 0 total errors (errmax= 3.0431e-10)
d(Node)/d(x6) check complete with 0 total errors (errmax= 8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "x6" for ibody=19
d(Face)/d(x6) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(x6) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x6) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "x7"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "x7" for ibody=6
d(Face)/d(x7) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(x7) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x7) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "x7" for ibody=13
d(Face)/d(x7) check complete with 0 total errors (errmax= 5.5231e-10)
d(Edge)/d(x7) check complete with 0 total errors (errmax= 1.3132e-10)
d(Node)/d(x7) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "x7" for ibody=19
d(Face)/d(x7) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(x7) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x7) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "x8"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "x8" for ibody=6
d(Face)/d(x8) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(x8) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x8) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "x8" for ibody=13
d(Face)/d(x8) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(x8) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x8) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "x8" for ibody=19
d(Face)/d(x8) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(x8) check complete with 0 total errors (errmax= 7.4840e-10)
d(Node)/d(x8) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "x9"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "x9" for ibody=6
d(Face)/d(x9) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(x9) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x9) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "x9" for ibody=13
d(Face)/d(x9) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(x9) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x9) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "x9" for ibody=19
d(Face)/d(x9) check complete with 0 total errors (errmax= 1.7468e-09)
d(Edge)/d(x9) check complete with 0 total errors (errmax= 1.6366e-09)
d(Node)/d(x9) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "x10"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "x10" for ibody=6
d(Face)/d(x10) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(x10) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x10) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "x10" for ibody=13
d(Face)/d(x10) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(x10) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(x10) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "x10" for ibody=19
d(Face)/d(x10) check complete with 0 total errors (errmax= 1.4619e-09)
d(Edge)/d(x10) check complete with 0 total errors (errmax= 1.0893e-09)
d(Node)/d(x10) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "y1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "y1" for ibody=6
d(Face)/d(y1) check complete with 0 total errors (errmax= 8.3239e-10)
d(Edge)/d(y1) check complete with 0 total errors (errmax= 3.3307e-16)
d(Node)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "y1" for ibody=13
d(Face)/d(y1) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "y1" for ibody=19
d(Face)/d(y1) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y1) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "y2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "y2" for ibody=6
d(Face)/d(y2) check complete with 0 total errors (errmax= 1.4062e-06)
d(Edge)/d(y2) check complete with 0 total errors (errmax= 1.4222e-06)
d(Node)/d(y2) check complete with 0 total errors (errmax= 1.0606e-27)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "y2" for ibody=13
d(Face)/d(y2) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(y2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y2) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "y2" for ibody=19
d(Face)/d(y2) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(y2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y2) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "y3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "y3" for ibody=6
d(Face)/d(y3) check complete with 0 total errors (errmax= 1.4062e-06)
d(Edge)/d(y3) check complete with 0 total errors (errmax= 1.4222e-06)
d(Node)/d(y3) check complete with 0 total errors (errmax= 1.0606e-27)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "y3" for ibody=13
d(Face)/d(y3) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(y3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y3) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "y3" for ibody=19
d(Face)/d(y3) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(y3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y3) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "y4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "y4" for ibody=6
d(Face)/d(y4) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(y4) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y4) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "y4" for ibody=13
d(Face)/d(y4) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(y4) check complete with 0 total errors (errmax= 2.2204e-16)
d(Node)/d(y4) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "y4" for ibody=19
d(Face)/d(y4) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(y4) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y4) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "y5"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "y5" for ibody=6
d(Face)/d(y5) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(y5) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y5) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "y5" for ibody=13
d(Face)/d(y5) check complete with 0 total errors (errmax= 4.4022e-07)
d(Edge)/d(y5) check complete with 0 total errors (errmax= 4.4523e-07)
d(Node)/d(y5) check complete with 0 total errors (errmax= 4.8508e-26)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "y5" for ibody=19
d(Face)/d(y5) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(y5) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y5) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "y6"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "y6" for ibody=6
d(Face)/d(y6) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(y6) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y6) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "y6" for ibody=13
d(Face)/d(y6) check complete with 0 total errors (errmax= 4.4022e-07)
d(Edge)/d(y6) check complete with 0 total errors (errmax= 4.4523e-07)
d(Node)/d(y6) check complete with 0 total errors (errmax= 4.8508e-26)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "y6" for ibody=19
d(Face)/d(y6) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(y6) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y6) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "y7"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "y7" for ibody=6
d(Face)/d(y7) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(y7) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y7) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "y7" for ibody=13
d(Face)/d(y7) check complete with 0 total errors (errmax= 4.5370e-10)
d(Edge)/d(y7) check complete with 0 total errors (errmax= 2.2204e-16)
d(Node)/d(y7) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "y7" for ibody=19
d(Face)/d(y7) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(y7) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y7) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "y8"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "y8" for ibody=6
d(Face)/d(y8) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(y8) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y8) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "y8" for ibody=13
d(Face)/d(y8) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(y8) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y8) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "y8" for ibody=19
d(Face)/d(y8) check complete with 0 total errors (errmax= 1.4062e-06)
d(Edge)/d(y8) check complete with 0 total errors (errmax= 1.4222e-06)
d(Node)/d(y8) check complete with 0 total errors (errmax= 1.0606e-27)
*********************************************************
Starting configuration sensitivity wrt "y9"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "y9" for ibody=6
d(Face)/d(y9) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(y9) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y9) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "y9" for ibody=13
d(Face)/d(y9) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(y9) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y9) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "y9" for ibody=19
d(Face)/d(y9) check complete with 0 total errors (errmax= 1.4062e-06)
d(Edge)/d(y9) check complete with 0 total errors (errmax= 1.4222e-06)
d(Node)/d(y9) check complete with 0 total errors (errmax= 1.0606e-27)
*********************************************************
Starting configuration sensitivity wrt "y10"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "y10" for ibody=6
d(Face)/d(y10) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(y10) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y10) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "y10" for ibody=13
d(Face)/d(y10) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(y10) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(y10) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "y10" for ibody=19
d(Face)/d(y10) check complete with 0 total errors (errmax= 1.1724e-09)
d(Edge)/d(y10) check complete with 0 total errors (errmax= 2.2204e-16)
d(Node)/d(y10) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "z1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "z1" for ibody=6
d(Face)/d(z1) check complete with 0 total errors (errmax= 8.6738e-10)
d(Edge)/d(z1) check complete with 0 total errors (errmax= 7.4840e-11)
d(Node)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "z1" for ibody=13
d(Face)/d(z1) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "z1" for ibody=19
d(Face)/d(z1) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z1) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "z2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "z2" for ibody=6
iface= 1, ipnt= 128 (X): anal= -0.38266115, fd= -0.38293377, err= 0.00027262 (at -4.03125000 0.09497179 -1.92853107)
iface= 1, ipnt= 128 (Z): anal= -0.19149127, fd= -0.19162769, err= 0.00013642 (at -4.03125000 0.09497179 -1.92853107)
iface= 1, ipnt= 129 (X): anal= -0.37013997, fd= -0.37041013, err= 0.00027016 (at -4.06250000 0.09192373 -1.86664595)
iface= 1, ipnt= 129 (Z): anal= -0.18501277, fd= -0.18514781, err= 0.00013504 (at -4.06250000 0.09192373 -1.86664595)
iface= 1, ipnt= 130 (X): anal= -0.35763602, fd= -0.35790233, err= 0.00026632 (at -4.09375000 0.08887231 -1.80469070)
iface= 1, ipnt= 130 (Z): anal= -0.17857150, fd= -0.17870447, err= 0.00013297 (at -4.09375000 0.08887231 -1.80469070)
iface= 1, ipnt= 131 (X): anal= -0.34514875, fd= -0.34540994, err= 0.00026119 (at -4.12500000 0.08581779 -1.74267035)
iface= 1, ipnt= 131 (Z): anal= -0.17216556, fd= -0.17229584, err= 0.00013028 (at -4.12500000 0.08581779 -1.74267035)
iface= 1, ipnt= 132 (X): anal= -0.33267764, fd= -0.33293252, err= 0.00025487 (at -4.15625000 0.08276040 -1.68058989)
iface= 1, ipnt= 132 (Z): anal= -0.16579311, fd= -0.16592013, err= 0.00012702 (at -4.15625000 0.08276040 -1.68058989)
...too many errors to list
iface= 2, ipnt= 143 (Z): anal= -0.23875348, fd= -0.23885702, err= 0.00010354 (at -3.25000000 0.09801627 -1.99034106)
iface= 2, ipnt= 144 (Z): anal= -0.29865863, fd= -0.29881232, err= 0.00015370 (at -3.31250000 0.09801628 -1.99034106)
iface= 2, ipnt= 145 (Z): anal= -0.35861580, fd= -0.35882548, err= 0.00020967 (at -3.37500000 0.09801628 -1.99034106)
iface= 2, ipnt= 146 (Z): anal= -0.41860767, fd= -0.41887720, err= 0.00026953 (at -3.43750000 0.09801628 -1.99034106)
iface= 2, ipnt= 147 (Z): anal= -0.47861687, fd= -0.47894821, err= 0.00033133 (at -3.50000000 0.09801628 -1.99034106)
iface= 2, ipnt= 148 (Z): anal= -0.53862607, fd= -0.53901921, err= 0.00039314 (at -3.56250000 0.09801628 -1.99034106)
iface= 2, ipnt= 149 (Z): anal= -0.59861794, fd= -0.59907093, err= 0.00045300 (at -3.62500000 0.09801628 -1.99034106)
iface= 2, ipnt= 150 (Y): anal= 0.12991215, fd= 0.13001255, err= -0.00010040 (at -3.68750000 0.09801628 -1.99034106)
iface= 2, ipnt= 150 (Z): anal= -0.65857511, fd= -0.65908409, err= 0.00050897 (at -3.68750000 0.09801628 -1.99034106)
iface= 2, ipnt= 151 (Y): anal= 0.14172918, fd= 0.14183948, err= -0.00011029 (at -3.75000000 0.09801627 -1.99034106)
...too many errors to list
iface= 3, ipnt= 128 (X): anal= -0.38266115, fd= -0.38293377, err= 0.00027262 (at -4.03125000 -0.09497179 1.92853107)
iface= 3, ipnt= 128 (Z): anal= 0.19149127, fd= 0.19162769, err= -0.00013642 (at -4.03125000 -0.09497179 1.92853107)
iface= 3, ipnt= 129 (X): anal= -0.37013997, fd= -0.37041013, err= 0.00027016 (at -4.06250000 -0.09192373 1.86664595)
iface= 3, ipnt= 129 (Z): anal= 0.18501277, fd= 0.18514781, err= -0.00013504 (at -4.06250000 -0.09192373 1.86664595)
iface= 3, ipnt= 130 (X): anal= -0.35763602, fd= -0.35790233, err= 0.00026632 (at -4.09375000 -0.08887231 1.80469070)
iface= 3, ipnt= 130 (Z): anal= 0.17857150, fd= 0.17870447, err= -0.00013297 (at -4.09375000 -0.08887231 1.80469070)
iface= 3, ipnt= 131 (X): anal= -0.34514875, fd= -0.34540994, err= 0.00026119 (at -4.12500000 -0.08581779 1.74267035)
iface= 3, ipnt= 131 (Z): anal= 0.17216556, fd= 0.17229584, err= -0.00013028 (at -4.12500000 -0.08581779 1.74267035)
iface= 3, ipnt= 132 (X): anal= -0.33267764, fd= -0.33293252, err= 0.00025487 (at -4.15625000 -0.08276040 1.68058989)
iface= 3, ipnt= 132 (Z): anal= 0.16579311, fd= 0.16592013, err= -0.00012702 (at -4.15625000 -0.08276040 1.68058989)
...too many errors to list
iface= 4, ipnt= 143 (Z): anal= 0.23875348, fd= 0.23885702, err= -0.00010354 (at -3.25000000 -0.09801627 1.99034106)
iface= 4, ipnt= 144 (Z): anal= 0.29865863, fd= 0.29881232, err= -0.00015370 (at -3.31250000 -0.09801628 1.99034106)
iface= 4, ipnt= 145 (Z): anal= 0.35861580, fd= 0.35882548, err= -0.00020967 (at -3.37500000 -0.09801628 1.99034106)
iface= 4, ipnt= 146 (Z): anal= 0.41860767, fd= 0.41887720, err= -0.00026953 (at -3.43750000 -0.09801628 1.99034106)
iface= 4, ipnt= 147 (Z): anal= 0.47861687, fd= 0.47894821, err= -0.00033133 (at -3.50000000 -0.09801628 1.99034106)
iface= 4, ipnt= 148 (Z): anal= 0.53862607, fd= 0.53901921, err= -0.00039314 (at -3.56250000 -0.09801628 1.99034106)
iface= 4, ipnt= 149 (Z): anal= 0.59861794, fd= 0.59907093, err= -0.00045300 (at -3.62500000 -0.09801628 1.99034106)
iface= 4, ipnt= 150 (Y): anal= -0.12991215, fd= -0.13001255, err= 0.00010040 (at -3.68750000 -0.09801628 1.99034106)
iface= 4, ipnt= 150 (Z): anal= 0.65857511, fd= 0.65908409, err= -0.00050897 (at -3.68750000 -0.09801628 1.99034106)
iface= 4, ipnt= 151 (Y): anal= -0.14172918, fd= -0.14183948, err= 0.00011029 (at -3.75000000 -0.09801627 1.99034106)
...too many errors to list
d(Face)/d(z2) check complete with 304 total errors (errmax= 6.5523e-04)
iedge= 4, ipnt= 1 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at -4.00000000 0.09801627 -1.99034106)
iedge= 4, ipnt= 1 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at -4.00000000 0.09801627 -1.99034106)
iedge= 4, ipnt= 2 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at -4.00000000 0.19509030 -1.96154442)
iedge= 4, ipnt= 2 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at -4.00000000 0.19509030 -1.96154442)
iedge= 4, ipnt= 4 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at -4.00000000 0.38267602 -1.84773118)
iedge= 4, ipnt= 50 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at -4.00000000 0.38267602 1.84773118)
iedge= 4, ipnt= 52 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at -4.00000000 0.19509030 1.96154442)
iedge= 4, ipnt= 52 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at -4.00000000 0.19509030 1.96154442)
iedge= 4, ipnt= 53 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at -4.00000000 0.09801627 1.99034106)
iedge= 4, ipnt= 53 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at -4.00000000 0.09801627 1.99034106)
iedge= 9, ipnt= 1 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at -4.00000000 -0.09801627 1.99034106)
iedge= 9, ipnt= 1 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at -4.00000000 -0.09801627 1.99034106)
iedge= 9, ipnt= 2 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at -4.00000000 -0.19509030 1.96154442)
iedge= 9, ipnt= 2 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at -4.00000000 -0.19509030 1.96154442)
iedge= 9, ipnt= 4 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at -4.00000000 -0.38267602 1.84773118)
iedge= 9, ipnt= 50 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at -4.00000000 -0.38267602 -1.84773118)
iedge= 9, ipnt= 52 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at -4.00000000 -0.19509030 -1.96154442)
iedge= 9, ipnt= 52 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at -4.00000000 -0.19509030 -1.96154442)
iedge= 9, ipnt= 53 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at -4.00000000 -0.09801627 -1.99034106)
iedge= 9, ipnt= 53 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at -4.00000000 -0.09801627 -1.99034106)
d(Edge)/d(z2) check complete with 20 total errors (errmax= 6.6267e-04)
d(Node)/d(z2) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "z2" for ibody=13
d(Face)/d(z2) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(z2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z2) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "z2" for ibody=19
d(Face)/d(z2) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(z2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z2) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "z3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "z3" for ibody=6
iface= 2, ipnt= 140 (Y): anal= 0.17708451, fd= 0.17721376, err= -0.00012925 (at -3.06250000 0.09801627 -1.99034106)
iface= 2, ipnt= 140 (Z): anal= -0.89771012, fd= -0.89836535, err= 0.00065523 (at -3.06250000 0.09801627 -1.99034106)
iface= 2, ipnt= 141 (Y): anal= 0.16531878, fd= 0.16544389, err= -0.00012510 (at -3.12500000 0.09801627 -1.99034106)
iface= 2, ipnt= 141 (Z): anal= -0.83806511, fd= -0.83869931, err= 0.00063420 (at -3.12500000 0.09801627 -1.99034106)
iface= 2, ipnt= 142 (Y): anal= 0.15353254, fd= 0.15365119, err= -0.00011866 (at -3.18750000 0.09801627 -1.99034106)
iface= 2, ipnt= 142 (Z): anal= -0.77831604, fd= -0.77891756, err= 0.00060151 (at -3.18750000 0.09801627 -1.99034106)
iface= 2, ipnt= 143 (Y): anal= 0.14172918, fd= 0.14183948, err= -0.00011029 (at -3.25000000 0.09801627 -1.99034106)
iface= 2, ipnt= 143 (Z): anal= -0.71848026, fd= -0.71903939, err= 0.00055913 (at -3.25000000 0.09801627 -1.99034106)
iface= 2, ipnt= 144 (Y): anal= 0.12991215, fd= 0.13001255, err= -0.00010040 (at -3.31250000 0.09801628 -1.99034106)
iface= 2, ipnt= 144 (Z): anal= -0.65857511, fd= -0.65908409, err= 0.00050897 (at -3.31250000 0.09801628 -1.99034106)
...too many errors to list
iface= 4, ipnt= 140 (Y): anal= -0.17708451, fd= -0.17721376, err= 0.00012925 (at -3.06250000 -0.09801627 1.99034106)
iface= 4, ipnt= 140 (Z): anal= 0.89771012, fd= 0.89836535, err= -0.00065523 (at -3.06250000 -0.09801627 1.99034106)
iface= 4, ipnt= 141 (Y): anal= -0.16531878, fd= -0.16544389, err= 0.00012510 (at -3.12500000 -0.09801627 1.99034106)
iface= 4, ipnt= 141 (Z): anal= 0.83806511, fd= 0.83869931, err= -0.00063420 (at -3.12500000 -0.09801627 1.99034106)
iface= 4, ipnt= 142 (Y): anal= -0.15353254, fd= -0.15365119, err= 0.00011866 (at -3.18750000 -0.09801627 1.99034106)
iface= 4, ipnt= 142 (Z): anal= 0.77831604, fd= 0.77891756, err= -0.00060151 (at -3.18750000 -0.09801627 1.99034106)
iface= 4, ipnt= 143 (Y): anal= -0.14172918, fd= -0.14183948, err= 0.00011029 (at -3.25000000 -0.09801627 1.99034106)
iface= 4, ipnt= 143 (Z): anal= 0.71848026, fd= 0.71903939, err= -0.00055913 (at -3.25000000 -0.09801627 1.99034106)
iface= 4, ipnt= 144 (Y): anal= -0.12991215, fd= -0.13001255, err= 0.00010040 (at -3.31250000 -0.09801628 1.99034106)
iface= 4, ipnt= 144 (Z): anal= 0.65857511, fd= 0.65908409, err= -0.00050897 (at -3.31250000 -0.09801628 1.99034106)
...too many errors to list
d(Face)/d(z3) check complete with 140 total errors (errmax= 6.5523e-04)
iedge= 7, ipnt= 1 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at -3.00000000 0.09801627 -1.99034106)
iedge= 7, ipnt= 1 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at -3.00000000 0.09801627 -1.99034106)
iedge= 7, ipnt= 2 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at -3.00000000 0.19509030 -1.96154442)
iedge= 7, ipnt= 2 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at -3.00000000 0.19509030 -1.96154442)
iedge= 7, ipnt= 4 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at -3.00000000 0.38267602 -1.84773118)
iedge= 7, ipnt= 50 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at -3.00000000 0.38267602 1.84773118)
iedge= 7, ipnt= 52 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at -3.00000000 0.19509030 1.96154442)
iedge= 7, ipnt= 52 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at -3.00000000 0.19509030 1.96154442)
iedge= 7, ipnt= 53 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at -3.00000000 0.09801627 1.99034106)
iedge= 7, ipnt= 53 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at -3.00000000 0.09801627 1.99034106)
iedge= 10, ipnt= 1 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at -3.00000000 -0.09801627 1.99034106)
iedge= 10, ipnt= 1 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at -3.00000000 -0.09801627 1.99034106)
iedge= 10, ipnt= 2 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at -3.00000000 -0.19509030 1.96154442)
iedge= 10, ipnt= 2 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at -3.00000000 -0.19509030 1.96154442)
iedge= 10, ipnt= 4 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at -3.00000000 -0.38267602 1.84773118)
iedge= 10, ipnt= 50 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at -3.00000000 -0.38267602 -1.84773118)
iedge= 10, ipnt= 52 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at -3.00000000 -0.19509030 -1.96154442)
iedge= 10, ipnt= 52 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at -3.00000000 -0.19509030 -1.96154442)
iedge= 10, ipnt= 53 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at -3.00000000 -0.09801627 -1.99034106)
iedge= 10, ipnt= 53 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at -3.00000000 -0.09801627 -1.99034106)
d(Edge)/d(z3) check complete with 20 total errors (errmax= 6.6267e-04)
d(Node)/d(z3) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "z3" for ibody=13
d(Face)/d(z3) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(z3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z3) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "z3" for ibody=19
d(Face)/d(z3) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(z3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z3) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "z4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "z4" for ibody=6
d(Face)/d(z4) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(z4) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z4) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "z4" for ibody=13
d(Face)/d(z4) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(z4) check complete with 0 total errors (errmax= 6.1426e-11)
d(Node)/d(z4) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "z4" for ibody=19
d(Face)/d(z4) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(z4) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z4) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "z5"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "z5" for ibody=6
d(Face)/d(z5) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(z5) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z5) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "z5" for ibody=13
iface= 1, ipnt= 88 (X): anal= -0.46793772, fd= -0.46818851, err= 0.00025079 (at -1.06250000 0.09205052 -0.93662386)
iface= 1, ipnt= 88 (Z): anal= -0.46899427, fd= -0.46924562, err= 0.00025136 (at -1.06250000 0.09205052 -0.93662386)
iface= 1, ipnt= 89 (X): anal= -0.43683310, fd= -0.43707585, err= 0.00024275 (at -1.12500000 0.08594671 -0.87435454)
iface= 1, ipnt= 89 (Z): anal= -0.43719959, fd= -0.43744255, err= 0.00024295 (at -1.12500000 0.08594671 -0.87435454)
iface= 1, ipnt= 90 (X): anal= -0.40568083, fd= -0.40591107, err= 0.00023024 (at -1.18750000 0.07982598 -0.81199662)
iface= 1, ipnt= 90 (Z): anal= -0.40552283, fd= -0.40575299, err= 0.00023015 (at -1.18750000 0.07982598 -0.81199662)
iface= 1, ipnt= 91 (X): anal= -0.37448963, fd= -0.37470365, err= 0.00021402 (at -1.25000000 0.07369116 -0.74956487)
iface= 1, ipnt= 91 (Z): anal= -0.37395439, fd= -0.37416810, err= 0.00021371 (at -1.25000000 0.07369116 -0.74956487)
iface= 1, ipnt= 92 (X): anal= -0.34326766, fd= -0.34346248, err= 0.00019482 (at -1.31250000 0.06754506 -0.68707406)
iface= 1, ipnt= 92 (Z): anal= -0.34248436, fd= -0.34267873, err= 0.00019438 (at -1.31250000 0.06754506 -0.68707406)
...too many errors to list
iface= 2, ipnt= 136 (Z): anal= -0.31140877, fd= -0.31152639, err= 0.00011762 (at 0.37500000 0.09813460 -0.99878982)
iface= 2, ipnt= 137 (Z): anal= -0.37386306, fd= -0.37402351, err= 0.00016045 (at 0.25000000 0.09813460 -0.99878982)
iface= 2, ipnt= 138 (Z): anal= -0.43634388, fd= -0.43655014, err= 0.00020626 (at 0.12500000 0.09813460 -0.99878982)
iface= 2, ipnt= 139 (Z): anal= -0.49883797, fd= -0.49909153, err= 0.00025355 (at 0.00000000 0.09813460 -0.99878982)
iface= 2, ipnt= 140 (Z): anal= -0.56133207, fd= -0.56163292, err= 0.00030085 (at -0.12500000 0.09813460 -0.99878982)
iface= 2, ipnt= 141 (Z): anal= -0.62381289, fd= -0.62415955, err= 0.00034665 (at -0.25000000 0.09813460 -0.99878982)
iface= 2, ipnt= 142 (Z): anal= -0.68626718, fd= -0.68665667, err= 0.00038949 (at -0.37500000 0.09813460 -0.99878982)
iface= 2, ipnt= 143 (Z): anal= -0.74868164, fd= -0.74910951, err= 0.00042787 (at -0.50000000 0.09813460 -0.99878982)
iface= 2, ipnt= 144 (Z): anal= -0.81104303, fd= -0.81150333, err= 0.00046031 (at -0.62500000 0.09813460 -0.99878982)
iface= 2, ipnt= 145 (Z): anal= -0.87333805, fd= -0.87382337, err= 0.00048532 (at -0.75000000 0.09813460 -0.99878982)
...too many errors to list
iface= 4, ipnt= 88 (X): anal= -0.46793772, fd= -0.46818851, err= 0.00025079 (at -1.06250000 -0.09205052 0.93662386)
iface= 4, ipnt= 88 (Z): anal= 0.46899427, fd= 0.46924562, err= -0.00025136 (at -1.06250000 -0.09205052 0.93662386)
iface= 4, ipnt= 89 (X): anal= -0.43683310, fd= -0.43707585, err= 0.00024275 (at -1.12500000 -0.08594671 0.87435454)
iface= 4, ipnt= 89 (Z): anal= 0.43719959, fd= 0.43744255, err= -0.00024295 (at -1.12500000 -0.08594671 0.87435454)
iface= 4, ipnt= 90 (X): anal= -0.40568083, fd= -0.40591107, err= 0.00023024 (at -1.18750000 -0.07982598 0.81199662)
iface= 4, ipnt= 90 (Z): anal= 0.40552283, fd= 0.40575299, err= -0.00023015 (at -1.18750000 -0.07982598 0.81199662)
iface= 4, ipnt= 91 (X): anal= -0.37448963, fd= -0.37470365, err= 0.00021402 (at -1.25000000 -0.07369116 0.74956487)
iface= 4, ipnt= 91 (Z): anal= 0.37395439, fd= 0.37416810, err= -0.00021371 (at -1.25000000 -0.07369116 0.74956487)
iface= 4, ipnt= 92 (X): anal= -0.34326766, fd= -0.34346248, err= 0.00019482 (at -1.31250000 -0.06754506 0.68707406)
iface= 4, ipnt= 92 (Z): anal= 0.34248436, fd= 0.34267873, err= -0.00019438 (at -1.31250000 -0.06754506 0.68707406)
...too many errors to list
iface= 5, ipnt= 136 (Z): anal= 0.31140877, fd= 0.31152639, err= -0.00011762 (at 0.37500000 -0.09813460 0.99878982)
iface= 5, ipnt= 137 (Z): anal= 0.37386306, fd= 0.37402351, err= -0.00016045 (at 0.25000000 -0.09813460 0.99878982)
iface= 5, ipnt= 138 (Z): anal= 0.43634388, fd= 0.43655014, err= -0.00020626 (at 0.12500000 -0.09813460 0.99878982)
iface= 5, ipnt= 139 (Z): anal= 0.49883797, fd= 0.49909153, err= -0.00025355 (at 0.00000000 -0.09813460 0.99878982)
iface= 5, ipnt= 140 (Z): anal= 0.56133207, fd= 0.56163292, err= -0.00030085 (at -0.12500000 -0.09813460 0.99878982)
iface= 5, ipnt= 141 (Z): anal= 0.62381289, fd= 0.62415955, err= -0.00034665 (at -0.25000000 -0.09813460 0.99878982)
iface= 5, ipnt= 142 (Z): anal= 0.68626718, fd= 0.68665667, err= -0.00038949 (at -0.37500000 -0.09813460 0.99878982)
iface= 5, ipnt= 143 (Z): anal= 0.74868164, fd= 0.74910951, err= -0.00042787 (at -0.50000000 -0.09813460 0.99878982)
iface= 5, ipnt= 144 (Z): anal= 0.81104303, fd= 0.81150333, err= -0.00046031 (at -0.62500000 -0.09813460 0.99878982)
iface= 5, ipnt= 145 (Z): anal= 0.87333805, fd= 0.87382337, err= -0.00048532 (at -0.75000000 -0.09813460 0.99878982)
...too many errors to list
d(Face)/d(z5) check complete with 568 total errors (errmax= 6.7907e-04)
iedge= 4, ipnt= 1 (Z): anal= -0.99767595, fd= -0.99818306, err= 0.00050711 (at -1.00000000 0.09813460 -0.99878982)
iedge= 4, ipnt= 2 (Z): anal= -0.99206933, fd= -0.99275612, err= 0.00068678 (at -1.00000000 0.19603255 -0.99517053)
iedge= 4, ipnt= 3 (Z): anal= -0.98311800, fd= -0.98374860, err= 0.00063060 (at -1.00000000 0.29345937 -0.98915903)
iedge= 4, ipnt= 4 (Z): anal= -0.97075046, fd= -0.97118140, err= 0.00043094 (at -1.00000000 0.39018060 -0.98077221)
iedge= 4, ipnt= 5 (Z): anal= -0.95488713, fd= -0.95506710, err= 0.00017997 (at -1.00000000 0.48596176 -0.97002695)
iedge= 4, ipnt= 7 (Z): anal= -0.91244910, fd= -0.91230320, err= -0.00014590 (at -1.00000000 0.67377107 -0.94153762)
iedge= 4, ipnt= 8 (Z): anal= -0.88602223, fd= -0.88584408, err= -0.00017815 (at -1.00000000 0.76535204 -0.92386559)
iedge= 4, ipnt= 9 (Z): anal= -0.85626184, fd= -0.85610807, err= -0.00015377 (at -1.00000000 0.85509527 -0.90397340)
iedge= 4, ipnt= 41 (Z): anal= 0.85626184, fd= 0.85610807, err= 0.00015377 (at -1.00000000 0.85509527 0.90397340)
iedge= 4, ipnt= 42 (Z): anal= 0.88602223, fd= 0.88584408, err= 0.00017815 (at -1.00000000 0.76535204 0.92386559)
...too many errors to list
iedge= 12, ipnt= 1 (Z): anal= 0.99767595, fd= 0.99818306, err= -0.00050711 (at -1.00000000 -0.09813460 0.99878982)
iedge= 12, ipnt= 2 (Z): anal= 0.99206933, fd= 0.99275612, err= -0.00068678 (at -1.00000000 -0.19603255 0.99517053)
iedge= 12, ipnt= 3 (Z): anal= 0.98311800, fd= 0.98374860, err= -0.00063060 (at -1.00000000 -0.29345937 0.98915903)
iedge= 12, ipnt= 4 (Z): anal= 0.97075046, fd= 0.97118140, err= -0.00043094 (at -1.00000000 -0.39018060 0.98077221)
iedge= 12, ipnt= 5 (Z): anal= 0.95488713, fd= 0.95506710, err= -0.00017997 (at -1.00000000 -0.48596176 0.97002695)
iedge= 12, ipnt= 7 (Z): anal= 0.91244910, fd= 0.91230320, err= 0.00014590 (at -1.00000000 -0.67377107 0.94153762)
iedge= 12, ipnt= 8 (Z): anal= 0.88602223, fd= 0.88584408, err= 0.00017815 (at -1.00000000 -0.76535204 0.92386559)
iedge= 12, ipnt= 9 (Z): anal= 0.85626184, fd= 0.85610807, err= 0.00015377 (at -1.00000000 -0.85509527 0.90397340)
iedge= 12, ipnt= 41 (Z): anal= -0.85626184, fd= -0.85610807, err= -0.00015377 (at -1.00000000 -0.85509527 -0.90397340)
iedge= 12, ipnt= 42 (Z): anal= -0.88602223, fd= -0.88584408, err= -0.00017815 (at -1.00000000 -0.76535204 -0.92386559)
...too many errors to list
d(Edge)/d(z5) check complete with 32 total errors (errmax= 6.8678e-04)
d(Node)/d(z5) check complete with 0 total errors (errmax= 8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "z5" for ibody=19
d(Face)/d(z5) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(z5) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z5) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "z6"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "z6" for ibody=6
d(Face)/d(z6) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(z6) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z6) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "z6" for ibody=13
iface= 2, ipnt= 132 (Z): anal= -0.93555345, fd= -0.93605486, err= 0.00050141 (at 0.87500000 0.09813460 -0.99878982)
iface= 2, ipnt= 133 (Z): anal= -0.87333805, fd= -0.87382337, err= 0.00048532 (at 0.75000000 0.09813460 -0.99878982)
iface= 2, ipnt= 134 (Z): anal= -0.81104303, fd= -0.81150333, err= 0.00046031 (at 0.62500000 0.09813460 -0.99878982)
iface= 2, ipnt= 135 (Z): anal= -0.74868164, fd= -0.74910951, err= 0.00042787 (at 0.50000000 0.09813460 -0.99878982)
iface= 2, ipnt= 136 (Z): anal= -0.68626718, fd= -0.68665667, err= 0.00038949 (at 0.37500000 0.09813460 -0.99878982)
iface= 2, ipnt= 137 (Z): anal= -0.62381289, fd= -0.62415955, err= 0.00034666 (at 0.25000000 0.09813460 -0.99878982)
iface= 2, ipnt= 138 (Z): anal= -0.56133207, fd= -0.56163292, err= 0.00030085 (at 0.12500000 0.09813460 -0.99878982)
iface= 2, ipnt= 139 (Z): anal= -0.49883797, fd= -0.49909153, err= 0.00025355 (at 0.00000000 0.09813460 -0.99878982)
iface= 2, ipnt= 140 (Z): anal= -0.43634388, fd= -0.43655014, err= 0.00020626 (at -0.12500000 0.09813460 -0.99878982)
iface= 2, ipnt= 141 (Z): anal= -0.37386306, fd= -0.37402351, err= 0.00016045 (at -0.25000000 0.09813460 -0.99878982)
...too many errors to list
iface= 3, ipnt= 481 (X): anal= 0.18604803, fd= 0.18615681, err= -0.00010878 (at 1.62500000 0.07343571 0.37278827)
iface= 3, ipnt= 481 (Z): anal= 0.18460918, fd= 0.18471711, err= -0.00010794 (at 1.62500000 0.07343571 0.37278827)
iface= 3, ipnt= 482 (X): anal= 0.18469658, fd= 0.18479663, err= -0.00010005 (at 1.62500000 0.10997681 0.37056561)
iface= 3, ipnt= 526 (X): anal= 0.18469658, fd= 0.18479663, err= -0.00010005 (at 1.62500000 0.10997681 -0.37056561)
iface= 3, ipnt= 527 (X): anal= 0.18604803, fd= 0.18615681, err= -0.00010878 (at 1.62500000 0.07343571 -0.37278827)
iface= 3, ipnt= 527 (Z): anal= -0.18460918, fd= -0.18471711, err= 0.00010794 (at 1.62500000 0.07343571 -0.37278827)
iface= 3, ipnt= 529 (X): anal= 0.21822364, fd= 0.21832680, err= -0.00010315 (at 1.56250000 0.04290429 0.43681550)
iface= 3, ipnt= 529 (Z): anal= 0.21738566, fd= 0.21748842, err= -0.00010276 (at 1.56250000 0.04290429 0.43681550)
iface= 3, ipnt= 530 (X): anal= 0.21717548, fd= 0.21731532, err= -0.00013983 (at 1.56250000 0.08572408 0.43517675)
iface= 3, ipnt= 530 (Z): anal= 0.21541000, fd= 0.21554869, err= -0.00013870 (at 1.56250000 0.08572408 0.43517675)
...too many errors to list
iface= 5, ipnt= 132 (Z): anal= 0.93555345, fd= 0.93605486, err= -0.00050141 (at 0.87500000 -0.09813460 0.99878982)
iface= 5, ipnt= 133 (Z): anal= 0.87333805, fd= 0.87382337, err= -0.00048532 (at 0.75000000 -0.09813460 0.99878982)
iface= 5, ipnt= 134 (Z): anal= 0.81104303, fd= 0.81150333, err= -0.00046031 (at 0.62500000 -0.09813460 0.99878982)
iface= 5, ipnt= 135 (Z): anal= 0.74868164, fd= 0.74910951, err= -0.00042787 (at 0.50000000 -0.09813460 0.99878982)
iface= 5, ipnt= 136 (Z): anal= 0.68626718, fd= 0.68665667, err= -0.00038949 (at 0.37500000 -0.09813460 0.99878982)
iface= 5, ipnt= 137 (Z): anal= 0.62381289, fd= 0.62415955, err= -0.00034666 (at 0.25000000 -0.09813460 0.99878982)
iface= 5, ipnt= 138 (Z): anal= 0.56133207, fd= 0.56163292, err= -0.00030085 (at 0.12500000 -0.09813460 0.99878982)
iface= 5, ipnt= 139 (Z): anal= 0.49883797, fd= 0.49909153, err= -0.00025355 (at 0.00000000 -0.09813460 0.99878982)
iface= 5, ipnt= 140 (Z): anal= 0.43634388, fd= 0.43655014, err= -0.00020626 (at -0.12500000 -0.09813460 0.99878982)
iface= 5, ipnt= 141 (Z): anal= 0.37386306, fd= 0.37402351, err= -0.00016045 (at -0.25000000 -0.09813460 0.99878982)
...too many errors to list
iface= 6, ipnt= 481 (X): anal= 0.18604803, fd= 0.18615681, err= -0.00010878 (at 1.62500000 -0.07343571 -0.37278827)
iface= 6, ipnt= 481 (Z): anal= -0.18460918, fd= -0.18471711, err= 0.00010794 (at 1.62500000 -0.07343571 -0.37278827)
iface= 6, ipnt= 482 (X): anal= 0.18469658, fd= 0.18479663, err= -0.00010005 (at 1.62500000 -0.10997681 -0.37056561)
iface= 6, ipnt= 526 (X): anal= 0.18469658, fd= 0.18479663, err= -0.00010005 (at 1.62500000 -0.10997681 0.37056561)
iface= 6, ipnt= 527 (X): anal= 0.18604803, fd= 0.18615681, err= -0.00010878 (at 1.62500000 -0.07343571 0.37278827)
iface= 6, ipnt= 527 (Z): anal= 0.18460918, fd= 0.18471711, err= -0.00010794 (at 1.62500000 -0.07343571 0.37278827)
iface= 6, ipnt= 529 (X): anal= 0.21822364, fd= 0.21832680, err= -0.00010315 (at 1.56250000 -0.04290429 -0.43681550)
iface= 6, ipnt= 529 (Z): anal= -0.21738566, fd= -0.21748842, err= 0.00010276 (at 1.56250000 -0.04290429 -0.43681550)
iface= 6, ipnt= 530 (X): anal= 0.21717548, fd= 0.21731532, err= -0.00013983 (at 1.56250000 -0.08572408 -0.43517675)
iface= 6, ipnt= 530 (Z): anal= -0.21541000, fd= -0.21554869, err= 0.00013870 (at 1.56250000 -0.08572408 -0.43517675)
...too many errors to list
d(Face)/d(z6) check complete with 568 total errors (errmax= 6.7907e-04)
iedge= 7, ipnt= 1 (Z): anal= -0.99767595, fd= -0.99818306, err= 0.00050711 (at 1.00000000 0.09813460 -0.99878982)
iedge= 7, ipnt= 2 (Z): anal= -0.99206933, fd= -0.99275612, err= 0.00068678 (at 1.00000000 0.19603255 -0.99517053)
iedge= 7, ipnt= 3 (Z): anal= -0.98311800, fd= -0.98374860, err= 0.00063060 (at 1.00000000 0.29345937 -0.98915903)
iedge= 7, ipnt= 4 (Z): anal= -0.97075046, fd= -0.97118140, err= 0.00043094 (at 1.00000000 0.39018060 -0.98077221)
iedge= 7, ipnt= 5 (Z): anal= -0.95488713, fd= -0.95506710, err= 0.00017997 (at 1.00000000 0.48596176 -0.97002695)
iedge= 7, ipnt= 7 (Z): anal= -0.91244910, fd= -0.91230320, err= -0.00014590 (at 1.00000000 0.67377107 -0.94153762)
iedge= 7, ipnt= 8 (Z): anal= -0.88602223, fd= -0.88584408, err= -0.00017815 (at 1.00000000 0.76535204 -0.92386559)
iedge= 7, ipnt= 9 (Z): anal= -0.85626184, fd= -0.85610807, err= -0.00015377 (at 1.00000000 0.85509527 -0.90397340)
iedge= 7, ipnt= 41 (Z): anal= 0.85626184, fd= 0.85610807, err= 0.00015377 (at 1.00000000 0.85509527 0.90397340)
iedge= 7, ipnt= 42 (Z): anal= 0.88602223, fd= 0.88584408, err= 0.00017815 (at 1.00000000 0.76535204 0.92386559)
...too many errors to list
iedge= 13, ipnt= 1 (Z): anal= 0.99767595, fd= 0.99818306, err= -0.00050711 (at 1.00000000 -0.09813460 0.99878982)
iedge= 13, ipnt= 2 (Z): anal= 0.99206933, fd= 0.99275612, err= -0.00068678 (at 1.00000000 -0.19603255 0.99517053)
iedge= 13, ipnt= 3 (Z): anal= 0.98311800, fd= 0.98374860, err= -0.00063060 (at 1.00000000 -0.29345937 0.98915903)
iedge= 13, ipnt= 4 (Z): anal= 0.97075046, fd= 0.97118140, err= -0.00043094 (at 1.00000000 -0.39018060 0.98077221)
iedge= 13, ipnt= 5 (Z): anal= 0.95488713, fd= 0.95506710, err= -0.00017997 (at 1.00000000 -0.48596176 0.97002695)
iedge= 13, ipnt= 7 (Z): anal= 0.91244910, fd= 0.91230320, err= 0.00014590 (at 1.00000000 -0.67377107 0.94153762)
iedge= 13, ipnt= 8 (Z): anal= 0.88602223, fd= 0.88584408, err= 0.00017815 (at 1.00000000 -0.76535204 0.92386559)
iedge= 13, ipnt= 9 (Z): anal= 0.85626184, fd= 0.85610807, err= 0.00015377 (at 1.00000000 -0.85509527 0.90397340)
iedge= 13, ipnt= 41 (Z): anal= -0.85626184, fd= -0.85610807, err= -0.00015377 (at 1.00000000 -0.85509527 -0.90397340)
iedge= 13, ipnt= 42 (Z): anal= -0.88602223, fd= -0.88584408, err= -0.00017815 (at 1.00000000 -0.76535204 -0.92386559)
...too many errors to list
d(Edge)/d(z6) check complete with 32 total errors (errmax= 6.8678e-04)
d(Node)/d(z6) check complete with 0 total errors (errmax= 8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "z6" for ibody=19
d(Face)/d(z6) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(z6) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z6) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "z7"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "z7" for ibody=6
d(Face)/d(z7) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(z7) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z7) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "z7" for ibody=13
d(Face)/d(z7) check complete with 0 total errors (errmax= 4.3727e-10)
d(Edge)/d(z7) check complete with 0 total errors (errmax= 9.3550e-11)
d(Node)/d(z7) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "z7" for ibody=19
d(Face)/d(z7) check complete with 0 total errors (errmax= 1.1579e-09)
d(Edge)/d(z7) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z7) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "z8"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "z8" for ibody=6
d(Face)/d(z8) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(z8) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z8) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "z8" for ibody=13
d(Face)/d(z8) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(z8) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z8) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "z8" for ibody=19
iface= 1, ipnt= 143 (Z): anal= -0.23875348, fd= -0.23885702, err= 0.00010354 (at 3.75000000 0.09801627 -1.99034106)
iface= 1, ipnt= 144 (Z): anal= -0.29865863, fd= -0.29881232, err= 0.00015370 (at 3.68750000 0.09801628 -1.99034106)
iface= 1, ipnt= 145 (Z): anal= -0.35861580, fd= -0.35882548, err= 0.00020967 (at 3.62500000 0.09801628 -1.99034106)
iface= 1, ipnt= 146 (Z): anal= -0.41860767, fd= -0.41887720, err= 0.00026953 (at 3.56250000 0.09801628 -1.99034106)
iface= 1, ipnt= 147 (Z): anal= -0.47861687, fd= -0.47894821, err= 0.00033133 (at 3.50000000 0.09801628 -1.99034106)
iface= 1, ipnt= 148 (Z): anal= -0.53862607, fd= -0.53901921, err= 0.00039314 (at 3.43750000 0.09801628 -1.99034106)
iface= 1, ipnt= 149 (Z): anal= -0.59861794, fd= -0.59907093, err= 0.00045300 (at 3.37500000 0.09801628 -1.99034106)
iface= 1, ipnt= 150 (Y): anal= 0.12991215, fd= 0.13001255, err= -0.00010040 (at 3.31250000 0.09801628 -1.99034106)
iface= 1, ipnt= 150 (Z): anal= -0.65857511, fd= -0.65908409, err= 0.00050897 (at 3.31250000 0.09801628 -1.99034106)
iface= 1, ipnt= 151 (Y): anal= 0.14172918, fd= 0.14183948, err= -0.00011029 (at 3.25000000 0.09801627 -1.99034106)
...too many errors to list
iface= 3, ipnt= 143 (Z): anal= 0.23875348, fd= 0.23885702, err= -0.00010354 (at 3.75000000 -0.09801627 1.99034106)
iface= 3, ipnt= 144 (Z): anal= 0.29865863, fd= 0.29881232, err= -0.00015370 (at 3.68750000 -0.09801628 1.99034106)
iface= 3, ipnt= 145 (Z): anal= 0.35861580, fd= 0.35882548, err= -0.00020967 (at 3.62500000 -0.09801628 1.99034106)
iface= 3, ipnt= 146 (Z): anal= 0.41860767, fd= 0.41887720, err= -0.00026953 (at 3.56250000 -0.09801628 1.99034106)
iface= 3, ipnt= 147 (Z): anal= 0.47861687, fd= 0.47894821, err= -0.00033133 (at 3.50000000 -0.09801628 1.99034106)
iface= 3, ipnt= 148 (Z): anal= 0.53862607, fd= 0.53901921, err= -0.00039314 (at 3.43750000 -0.09801628 1.99034106)
iface= 3, ipnt= 149 (Z): anal= 0.59861794, fd= 0.59907093, err= -0.00045300 (at 3.37500000 -0.09801628 1.99034106)
iface= 3, ipnt= 150 (Y): anal= -0.12991215, fd= -0.13001255, err= 0.00010040 (at 3.31250000 -0.09801628 1.99034106)
iface= 3, ipnt= 150 (Z): anal= 0.65857511, fd= 0.65908409, err= -0.00050897 (at 3.31250000 -0.09801628 1.99034106)
iface= 3, ipnt= 151 (Y): anal= -0.14172918, fd= -0.14183948, err= 0.00011029 (at 3.25000000 -0.09801627 1.99034106)
...too many errors to list
d(Face)/d(z8) check complete with 140 total errors (errmax= 6.5523e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at 3.00000000 0.09801627 -1.99034106)
iedge= 2, ipnt= 1 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at 3.00000000 0.09801627 -1.99034106)
iedge= 2, ipnt= 2 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at 3.00000000 0.19509030 -1.96154442)
iedge= 2, ipnt= 2 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at 3.00000000 0.19509030 -1.96154442)
iedge= 2, ipnt= 4 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at 3.00000000 0.38267602 -1.84773118)
iedge= 2, ipnt= 50 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at 3.00000000 0.38267602 1.84773118)
iedge= 2, ipnt= 52 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at 3.00000000 0.19509030 1.96154442)
iedge= 2, ipnt= 52 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at 3.00000000 0.19509030 1.96154442)
iedge= 2, ipnt= 53 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at 3.00000000 0.09801627 1.99034106)
iedge= 2, ipnt= 53 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at 3.00000000 0.09801627 1.99034106)
iedge= 8, ipnt= 1 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at 3.00000000 -0.09801627 1.99034106)
iedge= 8, ipnt= 1 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at 3.00000000 -0.09801627 1.99034106)
iedge= 8, ipnt= 2 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at 3.00000000 -0.19509030 1.96154442)
iedge= 8, ipnt= 2 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at 3.00000000 -0.19509030 1.96154442)
iedge= 8, ipnt= 4 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at 3.00000000 -0.38267602 1.84773118)
iedge= 8, ipnt= 50 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at 3.00000000 -0.38267602 -1.84773118)
iedge= 8, ipnt= 52 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at 3.00000000 -0.19509030 -1.96154442)
iedge= 8, ipnt= 52 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at 3.00000000 -0.19509030 -1.96154442)
iedge= 8, ipnt= 53 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at 3.00000000 -0.09801627 -1.99034106)
iedge= 8, ipnt= 53 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at 3.00000000 -0.09801627 -1.99034106)
d(Edge)/d(z8) check complete with 20 total errors (errmax= 6.6267e-04)
d(Node)/d(z8) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "z9"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "z9" for ibody=6
d(Face)/d(z9) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(z9) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z9) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "z9" for ibody=13
d(Face)/d(z9) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(z9) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z9) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "z9" for ibody=19
iface= 1, ipnt= 140 (Y): anal= 0.17708451, fd= 0.17721376, err= -0.00012925 (at 3.93750000 0.09801627 -1.99034106)
iface= 1, ipnt= 140 (Z): anal= -0.89771012, fd= -0.89836535, err= 0.00065523 (at 3.93750000 0.09801627 -1.99034106)
iface= 1, ipnt= 141 (Y): anal= 0.16531878, fd= 0.16544389, err= -0.00012510 (at 3.87500000 0.09801627 -1.99034106)
iface= 1, ipnt= 141 (Z): anal= -0.83806511, fd= -0.83869931, err= 0.00063420 (at 3.87500000 0.09801627 -1.99034106)
iface= 1, ipnt= 142 (Y): anal= 0.15353254, fd= 0.15365119, err= -0.00011866 (at 3.81250000 0.09801627 -1.99034106)
iface= 1, ipnt= 142 (Z): anal= -0.77831604, fd= -0.77891756, err= 0.00060151 (at 3.81250000 0.09801627 -1.99034106)
iface= 1, ipnt= 143 (Y): anal= 0.14172918, fd= 0.14183948, err= -0.00011029 (at 3.75000000 0.09801627 -1.99034106)
iface= 1, ipnt= 143 (Z): anal= -0.71848026, fd= -0.71903939, err= 0.00055913 (at 3.75000000 0.09801627 -1.99034106)
iface= 1, ipnt= 144 (Y): anal= 0.12991215, fd= 0.13001255, err= -0.00010040 (at 3.68750000 0.09801628 -1.99034106)
iface= 1, ipnt= 144 (Z): anal= -0.65857511, fd= -0.65908409, err= 0.00050897 (at 3.68750000 0.09801628 -1.99034106)
...too many errors to list
iface= 2, ipnt=1082 (X): anal= 0.17176706, fd= 0.17187766, err= -0.00011060 (at 4.56250000 0.04286204 0.87035350)
iface= 2, ipnt=1134 (X): anal= 0.17176706, fd= 0.17187766, err= -0.00011060 (at 4.56250000 0.04286204 -0.87035350)
iface= 2, ipnt=1135 (X): anal= 0.18407965, fd= 0.18420288, err= -0.00012323 (at 4.53125000 0.04593497 0.93275951)
iface= 2, ipnt=1187 (X): anal= 0.18407965, fd= 0.18420288, err= -0.00012323 (at 4.53125000 0.04593497 -0.93275951)
iface= 2, ipnt=1188 (X): anal= 0.19640099, fd= 0.19653695, err= -0.00013596 (at 4.50000000 0.04900814 0.99517053)
iface= 2, ipnt=1240 (X): anal= 0.19640099, fd= 0.19653695, err= -0.00013596 (at 4.50000000 0.04900814 -0.99517053)
iface= 2, ipnt=1241 (X): anal= 0.20873165, fd= 0.20888036, err= -0.00014871 (at 4.46875000 0.05208131 1.05758155)
iface= 2, ipnt=1293 (X): anal= 0.20873165, fd= 0.20888036, err= -0.00014871 (at 4.46875000 0.05208131 -1.05758155)
iface= 2, ipnt=1294 (X): anal= 0.22107221, fd= 0.22123357, err= -0.00016136 (at 4.43750000 0.05515424 1.11998757)
iface= 2, ipnt=1346 (X): anal= 0.22107221, fd= 0.22123357, err= -0.00016136 (at 4.43750000 0.05515424 -1.11998757)
...too many errors to list
iface= 3, ipnt= 140 (Y): anal= -0.17708451, fd= -0.17721376, err= 0.00012925 (at 3.93750000 -0.09801627 1.99034106)
iface= 3, ipnt= 140 (Z): anal= 0.89771012, fd= 0.89836535, err= -0.00065523 (at 3.93750000 -0.09801627 1.99034106)
iface= 3, ipnt= 141 (Y): anal= -0.16531878, fd= -0.16544389, err= 0.00012510 (at 3.87500000 -0.09801627 1.99034106)
iface= 3, ipnt= 141 (Z): anal= 0.83806511, fd= 0.83869931, err= -0.00063420 (at 3.87500000 -0.09801627 1.99034106)
iface= 3, ipnt= 142 (Y): anal= -0.15353254, fd= -0.15365119, err= 0.00011866 (at 3.81250000 -0.09801627 1.99034106)
iface= 3, ipnt= 142 (Z): anal= 0.77831604, fd= 0.77891756, err= -0.00060151 (at 3.81250000 -0.09801627 1.99034106)
iface= 3, ipnt= 143 (Y): anal= -0.14172918, fd= -0.14183948, err= 0.00011029 (at 3.75000000 -0.09801627 1.99034106)
iface= 3, ipnt= 143 (Z): anal= 0.71848026, fd= 0.71903939, err= -0.00055913 (at 3.75000000 -0.09801627 1.99034106)
iface= 3, ipnt= 144 (Y): anal= -0.12991215, fd= -0.13001255, err= 0.00010040 (at 3.68750000 -0.09801628 1.99034106)
iface= 3, ipnt= 144 (Z): anal= 0.65857511, fd= 0.65908409, err= -0.00050897 (at 3.68750000 -0.09801628 1.99034106)
...too many errors to list
iface= 4, ipnt=1082 (X): anal= 0.17176706, fd= 0.17187766, err= -0.00011060 (at 4.56250000 -0.04286204 -0.87035350)
iface= 4, ipnt=1134 (X): anal= 0.17176706, fd= 0.17187766, err= -0.00011060 (at 4.56250000 -0.04286204 0.87035350)
iface= 4, ipnt=1135 (X): anal= 0.18407965, fd= 0.18420288, err= -0.00012323 (at 4.53125000 -0.04593497 -0.93275951)
iface= 4, ipnt=1187 (X): anal= 0.18407965, fd= 0.18420288, err= -0.00012323 (at 4.53125000 -0.04593497 0.93275951)
iface= 4, ipnt=1188 (X): anal= 0.19640099, fd= 0.19653695, err= -0.00013596 (at 4.50000000 -0.04900814 -0.99517053)
iface= 4, ipnt=1240 (X): anal= 0.19640099, fd= 0.19653695, err= -0.00013596 (at 4.50000000 -0.04900814 0.99517053)
iface= 4, ipnt=1241 (X): anal= 0.20873165, fd= 0.20888036, err= -0.00014871 (at 4.46875000 -0.05208131 -1.05758155)
iface= 4, ipnt=1293 (X): anal= 0.20873165, fd= 0.20888036, err= -0.00014871 (at 4.46875000 -0.05208131 1.05758155)
iface= 4, ipnt=1294 (X): anal= 0.22107221, fd= 0.22123357, err= -0.00016136 (at 4.43750000 -0.05515424 -1.11998757)
iface= 4, ipnt=1346 (X): anal= 0.22107221, fd= 0.22123357, err= -0.00016136 (at 4.43750000 -0.05515424 1.11998757)
...too many errors to list
d(Face)/d(z9) check complete with 304 total errors (errmax= 6.5523e-04)
iedge= 4, ipnt= 1 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at 4.00000000 0.09801627 -1.99034106)
iedge= 4, ipnt= 1 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at 4.00000000 0.09801627 -1.99034106)
iedge= 4, ipnt= 2 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at 4.00000000 0.19509030 -1.96154442)
iedge= 4, ipnt= 2 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at 4.00000000 0.19509030 -1.96154442)
iedge= 4, ipnt= 4 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at 4.00000000 0.38267602 -1.84773118)
iedge= 4, ipnt= 50 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at 4.00000000 0.38267602 1.84773118)
iedge= 4, ipnt= 52 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at 4.00000000 0.19509030 1.96154442)
iedge= 4, ipnt= 52 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at 4.00000000 0.19509030 1.96154442)
iedge= 4, ipnt= 53 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at 4.00000000 0.09801627 1.99034106)
iedge= 4, ipnt= 53 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at 4.00000000 0.09801627 1.99034106)
iedge= 9, ipnt= 1 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at 4.00000000 -0.09801627 1.99034106)
iedge= 9, ipnt= 1 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at 4.00000000 -0.09801627 1.99034106)
iedge= 9, ipnt= 2 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at 4.00000000 -0.19509030 1.96154442)
iedge= 9, ipnt= 2 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at 4.00000000 -0.19509030 1.96154442)
iedge= 9, ipnt= 4 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at 4.00000000 -0.38267602 1.84773118)
iedge= 9, ipnt= 50 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at 4.00000000 -0.38267602 -1.84773118)
iedge= 9, ipnt= 52 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at 4.00000000 -0.19509030 -1.96154442)
iedge= 9, ipnt= 52 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at 4.00000000 -0.19509030 -1.96154442)
iedge= 9, ipnt= 53 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at 4.00000000 -0.09801627 -1.99034106)
iedge= 9, ipnt= 53 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at 4.00000000 -0.09801627 -1.99034106)
d(Edge)/d(z9) check complete with 20 total errors (errmax= 6.6267e-04)
d(Node)/d(z9) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "z10"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "z10" for ibody=6
d(Face)/d(z10) check complete with 0 total errors (errmax= 8.4952e-10)
d(Edge)/d(z10) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z10) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "z10" for ibody=13
d(Face)/d(z10) check complete with 0 total errors (errmax= 4.2431e-10)
d(Edge)/d(z10) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(z10) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "z10" for ibody=19
d(Face)/d(z10) check complete with 0 total errors (errmax= 1.1632e-09)
d(Edge)/d(z10) check complete with 0 total errors (errmax= 1.3796e-10)
d(Node)/d(z10) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.572 sec
Sensitivity checks complete with 2168 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m27.634s
user 0m27.724s
sys 0m0.012s
++++ set +x
data/basic/design0k -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 13 / 180 )
data/basic/design0m.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0m.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "xbase" for ibody=4
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.7790e-09)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.2677e-09)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 3.3663e-09)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "ybase" for ibody=4
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.7685e-09)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 2.7742e-09)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 3.3663e-09)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "zbase" for ibody=4
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.6373e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 1.9787e-09)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 5.2359e-09)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "xsize" for ibody=4
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.3926e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 2.9716e-09)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 3.3663e-09)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "ysize" for ibody=4
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.7490e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 2.7742e-09)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 3.3663e-09)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "zsize" for ibody=4
d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.6373e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 1.9189e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 5.2359e-09)
*********************************************************
Starting configuration sensitivity wrt "nx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "nx" for ibody=4
d(Face)/d(nx) check complete with 0 total errors (errmax= 2.2097e-05)
d(Edge)/d(nx) check complete with 0 total errors (errmax= 4.0119e-05)
d(Node)/d(nx) check complete with 0 total errors (errmax= 3.8379e-05)
*********************************************************
Starting configuration sensitivity wrt "ny"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "ny" for ibody=4
d(Face)/d(ny) check complete with 0 total errors (errmax= 5.1441e-05)
d(Edge)/d(ny) check complete with 0 total errors (errmax= 7.5668e-05)
d(Node)/d(ny) check complete with 0 total errors (errmax= 8.1046e-05)
*********************************************************
Starting configuration sensitivity wrt "nz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "nz" for ibody=4
d(Face)/d(nz) check complete with 0 total errors (errmax= 6.8895e-05)
d(Edge)/d(nz) check complete with 0 total errors (errmax= 7.3237e-05)
d(Node)/d(nz) check complete with 0 total errors (errmax= 9.4901e-05)
*********************************************************
Starting configuration sensitivity wrt "dist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "dist" for ibody=4
d(Face)/d(dist) check complete with 0 total errors (errmax= 2.1786e-09)
d(Edge)/d(dist) check complete with 0 total errors (errmax= 2.7279e-09)
d(Node)/d(dist) check complete with 0 total errors (errmax= 3.1343e-09)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "scale" for ibody=4
d(Face)/d(scale) check complete with 0 total errors (errmax= 1.9953e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 2.7074e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.5812e-09)
*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "dx" for ibody=4
d(Face)/d(dx) check complete with 0 total errors (errmax= 1.4144e-09)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 2.2442e-09)
d(Node)/d(dx) check complete with 0 total errors (errmax= 1.0280e-09)
*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "dy" for ibody=4
d(Face)/d(dy) check complete with 0 total errors (errmax= 1.6411e-09)
d(Edge)/d(dy) check complete with 0 total errors (errmax= 1.2570e-09)
d(Node)/d(dy) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "dz" for ibody=4
d(Face)/d(dz) check complete with 0 total errors (errmax= 1.4127e-09)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 1.3461e-09)
d(Node)/d(dz) check complete with 0 total errors (errmax= 7.4840e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.006 sec
Sensitivity checks complete with 0 total errors (max config err= 9.4901e-05) with 0 suppressions
real 0m0.216s
user 0m0.200s
sys 0m0.016s
++++ set +x
data/basic/design0m -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 14 / 180 )
data/basic/design0n1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0n1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "thickness" for ibody=3
d(Face)/d(thickness) check complete with 0 total errors (errmax= 7.9061e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 7.8575e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.0173e-11)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "camber" for ibody=3
iface= 1, ipnt= 397 (Y): anal= 0.99780513, fd= 0.99766065, err= 0.00014448 (at 0.38563821 0.09846379 0.84503391)
iface= 1, ipnt= 398 (Y): anal= 0.99849419, fd= 0.99829487, err= 0.00019932 (at 0.39161350 0.09829840 0.88217248)
iface= 1, ipnt= 399 (Y): anal= 0.99872936, fd= 0.99853163, err= 0.00019773 (at 0.39604490 0.09815932 0.91922660)
iface= 1, ipnt= 400 (Y): anal= 0.99875664, fd= 0.99858867, err= 0.00016797 (at 0.39897389 0.09806011 0.95623386)
iface= 1, ipnt= 401 (Y): anal= 0.99872729, fd= 0.99858949, err= 0.00013780 (at 0.40042458 0.09800891 0.99320629)
iface= 1, ipnt= 402 (Y): anal= 0.99872784, fd= 0.99858957, err= 0.00013827 (at 0.40040912 0.09800946 1.03016750)
iface= 1, ipnt= 403 (Y): anal= 0.99875700, fd= 0.99858835, err= 0.00016865 (at 0.39892755 0.09806173 1.06712300)
iface= 1, ipnt= 404 (Y): anal= 0.99872727, fd= 0.99852910, err= 0.00019817 (at 0.39596787 0.09816185 1.10409621)
iface= 1, ipnt= 405 (Y): anal= 0.99848558, fd= 0.99828675, err= 0.00019882 (at 0.39150606 0.09830160 1.14109882)
iface= 1, ipnt= 406 (Y): anal= 0.99778422, fd= 0.99764150, err= 0.00014272 (at 0.38550076 0.09846728 1.17816775)
...too many errors to list
iface= 2, ipnt= 359 (Y): anal= 0.99724822, fd= 0.99708309, err= 0.00016513 (at 0.38860901 -0.01848594 1.37395756)
iface= 2, ipnt= 390 (Y): anal= 0.99718237, fd= 0.99702118, err= 0.00016119 (at 0.38825451 -0.01850014 0.60264225)
iface= 2, ipnt= 396 (Y): anal= 0.99686557, fd= 0.99672380, err= 0.00014177 (at 0.38666076 -0.01856418 1.19223445)
iface= 2, ipnt= 397 (Y): anal= 0.99804588, fd= 0.99784619, err= 0.00019969 (at 0.39402355 -0.01827082 1.15497333)
iface= 2, ipnt= 398 (Y): anal= 0.99846965, fd= 0.99831243, err= 0.00015721 (at 0.39982884 -0.01804295 1.11783478)
iface= 2, ipnt= 405 (Y): anal= 0.99846593, fd= 0.99830698, err= 0.00015895 (at 0.39972380 -0.01804705 0.85890786)
iface= 2, ipnt= 406 (Y): anal= 0.99803081, fd= 0.99783125, err= 0.00019956 (at 0.39388921 -0.01827612 0.82183877)
iface= 2, ipnt= 407 (Y): anal= 0.99683122, fd= 0.99669158, err= 0.00013964 (at 0.38649763 -0.01857076 0.78466606)
iface= 2, ipnt=1379 (Y): anal= 0.99680510, fd= 0.99666708, err= 0.00013802 (at 0.38637470 -0.01857571 1.89300989)
iface= 2, ipnt=1380 (Y): anal= 0.99742694, fd= 0.99725151, err= 0.00017544 (at 0.38962087 -0.01844549 1.86595705)
...too many errors to list
d(Face)/d(camber) check complete with 79 total errors (errmax= 2.0377e-04)
iedge= 3, ipnt= 19 (Y): anal= 0.99857368, fd= 0.99837062, err= 0.00020306 (at 0.39270259 0.09826548 0.00000000)
iedge= 4, ipnt= 19 (Y): anal= 0.99857368, fd= 0.99837062, err= 0.00020306 (at 0.39270259 0.09826548 2.00000000)
iedge= 6, ipnt= 16 (Y): anal= 0.99848722, fd= 0.99836145, err= 0.00012577 (at 0.40088402 -0.01800173 0.00000000)
iedge= 7, ipnt= 16 (Y): anal= 0.99848722, fd= 0.99836145, err= 0.00012577 (at 0.40088402 -0.01800173 2.00000000)
d(Edge)/d(camber) check complete with 4 total errors (errmax= 2.0306e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 6.4602e-09)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "span" for ibody=3
d(Face)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(span) check complete with 0 total errors (errmax= 8.0591e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.045 sec
Sensitivity checks complete with 83 total errors (max config err= 2.0377e-04) with 0 suppressions
real 0m0.406s
user 0m0.564s
sys 0m0.004s
++++ set +x
data/basic/design0n1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 15 / 180 )
data/basic/design0n2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0n2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "class[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "class[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ztail[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ztail[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.310 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.527s
user 0m0.712s
sys 0m0.000s
++++ set +x
data/basic/design0n2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 16 / 180 )
data/basic/design0n3.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0n3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "span" for ibody=2
d(Face)/d(span) check complete with 0 total errors (errmax= 3.0986e-10)
d(Edge)/d(span) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "poly[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "poly[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "poly[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "poly[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "poly[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "poly[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "poly[2,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "poly[2,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "poly[2,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "poly[2,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.249 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.543s
user 0m0.708s
sys 0m0.000s
++++ set +x
data/basic/design0n3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 17 / 180 )
data/basic/design0n4.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0n4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "span" for ibody=2
d(Face)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(span) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "param[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "param[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "param[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "param[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "param[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "param[1,6]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "param[1,7]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "param[1,8]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "param[1,9]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.189 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.487s
user 0m0.672s
sys 0m0.000s
++++ set +x
data/basic/design0n4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 18 / 180 )
data/basic/design0o1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "thickness" for ibody=6
d(Face)/d(thickness) check complete with 0 total errors (errmax= 5.8933e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.8933e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.0173e-11)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "camber" for ibody=6
d(Face)/d(camber) check complete with 0 total errors (errmax= 2.2220e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.7416e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 6.4602e-09)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "span" for ibody=6
d(Face)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(span) check complete with 0 total errors (errmax= 8.0591e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.267 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions
real 0m1.053s
user 0m1.272s
sys 0m0.004s
++++ set +x
data/basic/design0o1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 19 / 180 )
data/basic/design0o2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "class[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "class[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ztail[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ztail[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,6]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,6]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.234 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.696s
user 0m2.932s
sys 0m0.016s
++++ set +x
data/basic/design0o2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 20 / 180 )
data/basic/design0o3.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "thickness" for ibody=6
d(Face)/d(thickness) check complete with 0 total errors (errmax= 5.8933e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.8933e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.0173e-11)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "camber" for ibody=6
d(Face)/d(camber) check complete with 0 total errors (errmax= 2.2220e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.7416e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 6.4602e-09)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "span" for ibody=6
d(Face)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(span) check complete with 0 total errors (errmax= 8.0591e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.360 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8933e-05) with 0 suppressions
real 0m1.286s
user 0m1.532s
sys 0m0.008s
++++ set +x
data/basic/design0o3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 21 / 180 )
data/basic/design0o4.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0o4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "class[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "class[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ztail[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ztail[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aupper[1,6]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "alower[1,6]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.259 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.691s
user 0m2.912s
sys 0m0.004s
++++ set +x
data/basic/design0o4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 22 / 180 )
data/basic/design0p.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0p.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "camber" for ibody=4
d(Face)/d(camber) check complete with 0 total errors (errmax= 8.3237e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 8.3237e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "chord"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "chord" for ibody=4
d(Face)/d(chord) check complete with 0 total errors (errmax= 5.1388e-11)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 1.3644e-10)
d(Node)/d(chord) check complete with 0 total errors (errmax= 1.3644e-10)
*********************************************************
Starting configuration sensitivity wrt "alpha"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "alpha" for ibody=4
d(Face)/d(alpha) check complete with 0 total errors (errmax= 6.8091e-11)
d(Edge)/d(alpha) check complete with 0 total errors (errmax= 8.4743e-11)
d(Node)/d(alpha) check complete with 0 total errors (errmax= 8.4743e-11)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "span" for ibody=4
d(Face)/d(span) check complete with 0 total errors (errmax= 1.3865e-11)
d(Edge)/d(span) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.007 sec
Sensitivity checks complete with 0 total errors (max config err= 8.3237e-05) with 0 suppressions
real 0m0.119s
user 0m0.088s
sys 0m0.028s
++++ set +x
data/basic/design0p -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 23 / 180 )
data/basic/design0q.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0q.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "camber" for ibody=7
d(Face)/d(camber) check complete with 0 total errors (errmax= 4.4019e-07)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 4.4016e-07)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "chord"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "chord" for ibody=7
d(Face)/d(chord) check complete with 0 total errors (errmax= 1.1934e-10)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 3.5848e-10)
d(Node)/d(chord) check complete with 0 total errors (errmax= 1.3644e-10)
*********************************************************
Starting configuration sensitivity wrt "alpha"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "alpha" for ibody=7
d(Face)/d(alpha) check complete with 0 total errors (errmax= 1.2112e-10)
d(Edge)/d(alpha) check complete with 0 total errors (errmax= 1.9577e-10)
d(Node)/d(alpha) check complete with 0 total errors (errmax= 8.4743e-11)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "span" for ibody=7
d(Face)/d(span) check complete with 0 total errors (errmax= 6.9509e-11)
d(Edge)/d(span) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.163 sec
Sensitivity checks complete with 0 total errors (max config err= 4.4019e-07) with 0 suppressions
real 0m0.630s
user 0m0.624s
sys 0m0.016s
++++ set +x
data/basic/design0q -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 24 / 180 )
data/basic/design0r.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0r.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "xbeg" for ibody=11
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 2.2204e-10)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 2.2204e-10)
*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "xend" for ibody=11
d(Face)/d(xend) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(xend) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xend) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "rad" for ibody=11
d(Face)/d(rad) check complete with 0 total errors (errmax= 1.5652e-07)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 1.7842e-07)
d(Node)/d(rad) check complete with 0 total errors (errmax= 2.8537e-07)
*********************************************************
Starting configuration sensitivity wrt "size1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "size1" for ibody=11
d(Face)/d(size1) check complete with 0 total errors (errmax= 2.4448e-07)
d(Edge)/d(size1) check complete with 0 total errors (errmax= 2.7859e-07)
d(Node)/d(size1) check complete with 0 total errors (errmax= 4.4585e-07)
*********************************************************
Starting configuration sensitivity wrt "angl1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "angl1" for ibody=11
d(Face)/d(angl1) check complete with 0 total errors (errmax= 3.9239e-10)
d(Edge)/d(angl1) check complete with 0 total errors (errmax= 6.5907e-10)
d(Node)/d(angl1) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "dx1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dx1" for ibody=11
d(Face)/d(dx1) check complete with 0 total errors (errmax= 2.0767e-10)
d(Edge)/d(dx1) check complete with 0 total errors (errmax= 1.7414e-10)
d(Node)/d(dx1) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "dy1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dy1" for ibody=11
d(Face)/d(dy1) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dy1) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dy1) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dz1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dz1" for ibody=11
d(Face)/d(dz1) check complete with 0 total errors (errmax= 5.1324e-07)
d(Edge)/d(dz1) check complete with 0 total errors (errmax= 6.9612e-07)
d(Node)/d(dz1) check complete with 0 total errors (errmax= 8.9164e-07)
*********************************************************
Starting configuration sensitivity wrt "size2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "size2" for ibody=11
d(Face)/d(size2) check complete with 0 total errors (errmax= 1.2120e-07)
d(Edge)/d(size2) check complete with 0 total errors (errmax= 1.6239e-07)
d(Node)/d(size2) check complete with 0 total errors (errmax= 1.6239e-07)
*********************************************************
Starting configuration sensitivity wrt "angl2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "angl2" for ibody=11
d(Face)/d(angl2) check complete with 0 total errors (errmax= 4.0895e-10)
iedge= 11, ipnt= 1 (X): anal= -0.00530163, fd= 0.00000000, err= -0.00530163 (at 0.60000000 0.95274829 -0.30376093)
iedge= 11, ipnt= 2 (X): anal= -0.00356588, fd= 0.00000000, err= -0.00356588 (at 0.60000000 0.97890631 -0.20430964)
iedge= 11, ipnt= 3 (X): anal= -0.00179242, fd= 0.00000000, err= -0.00179242 (at 0.60000000 0.99471260 -0.10269783)
iedge= 11, ipnt= 5 (X): anal= 0.00179242, fd= 0.00000000, err= 0.00179242 (at 0.60000000 0.99471260 0.10269783)
iedge= 11, ipnt= 6 (X): anal= 0.00356588, fd= 0.00000000, err= 0.00356588 (at 0.60000000 0.97890631 0.20430964)
iedge= 11, ipnt= 7 (X): anal= 0.00530163, fd= 0.00000000, err= 0.00530163 (at 0.60000000 0.95274829 0.30376093)
iedge= 13, ipnt= 1 (X): anal= -0.00530163, fd= 0.00000000, err= -0.00530163 (at 1.40000000 0.95274829 -0.30376093)
iedge= 13, ipnt= 2 (X): anal= -0.00356588, fd= 0.00000000, err= -0.00356588 (at 1.40000000 0.97890631 -0.20430964)
iedge= 13, ipnt= 3 (X): anal= -0.00179242, fd= 0.00000000, err= -0.00179242 (at 1.40000000 0.99471260 -0.10269783)
iedge= 13, ipnt= 5 (X): anal= 0.00179242, fd= 0.00000000, err= 0.00179242 (at 1.40000000 0.99471260 0.10269783)
iedge= 13, ipnt= 6 (X): anal= 0.00356588, fd= 0.00000000, err= 0.00356588 (at 1.40000000 0.97890631 0.20430964)
iedge= 13, ipnt= 7 (X): anal= 0.00530163, fd= 0.00000000, err= 0.00530163 (at 1.40000000 0.95274829 0.30376093)
d(Edge)/d(angl2) check complete with 12 total errors (errmax= 5.3016e-03)
d(Node)/d(angl2) check complete with 0 total errors (errmax= 2.9406e-10)
*********************************************************
Starting configuration sensitivity wrt "dx2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dx2" for ibody=11
d(Face)/d(dx2) check complete with 0 total errors (errmax= 1.0629e-10)
d(Edge)/d(dx2) check complete with 0 total errors (errmax= 3.0431e-10)
d(Node)/d(dx2) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "dy2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dy2" for ibody=11
d(Face)/d(dy2) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dy2) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dy2) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dz2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dz2" for ibody=11
d(Face)/d(dz2) check complete with 0 total errors (errmax= 5.4014e-07)
d(Edge)/d(dz2) check complete with 0 total errors (errmax= 6.4944e-07)
d(Node)/d(dz2) check complete with 0 total errors (errmax= 6.4944e-07)
*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dx" for ibody=11
d(Face)/d(dx) check complete with 0 total errors (errmax= 2.0767e-10)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 1.7411e-10)
d(Node)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dy" for ibody=11
d(Face)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dz" for ibody=11
d(Face)/d(dz) check complete with 0 total errors (errmax= 1.3267e-10)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dz) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "sfac"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "sfac" for ibody=11
d(Face)/d(sfac) check complete with 0 total errors (errmax= 2.1644e-10)
d(Edge)/d(sfac) check complete with 0 total errors (errmax= 1.9329e-10)
d(Node)/d(sfac) check complete with 0 total errors (errmax= 1.9329e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.071 sec
Sensitivity checks complete with 12 total errors (max config err= 5.3016e-03) with 0 suppressions
real 0m2.859s
user 0m2.620s
sys 0m1.516s
++++ set +x
data/basic/design0r -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 25 / 180 )
data/basic/design0s.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0s.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "dx" for ibody=2
d(Face)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "dy" for ibody=2
d(Face)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "dz" for ibody=2
d(Face)/d(dz) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(dz) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.001 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.073s
user 0m0.064s
sys 0m0.012s
++++ set +x
data/basic/design0s -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 26 / 180 )
data/basic/design0t1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0t1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DX" for ibody=3
d(Face)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DY" for ibody=3
d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DZ" for ibody=3
d(Face)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 6.9889e-11) with 0 suppressions
real 0m0.076s
user 0m0.076s
sys 0m0.000s
++++ set +x
data/basic/design0t1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 27 / 180 )
data/basic/design0t2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0t2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DX" for ibody=6
d(Face)/d(DX) check complete with 0 total errors (errmax= 4.4409e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 5.1398e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DY" for ibody=6
d(Face)/d(DY) check complete with 0 total errors (errmax= 5.1398e-10)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.9193e-10)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DZ" for ibody=6
d(Face)/d(DZ) check complete with 0 total errors (errmax= 9.5807e-10)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 5.1398e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.052 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions
real 0m0.196s
user 0m0.224s
sys 0m0.000s
++++ set +x
data/basic/design0t2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 28 / 180 )
data/basic/design0t3.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0t3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DX" for ibody=6
d(Face)/d(DX) check complete with 0 total errors (errmax= 4.4409e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 5.1398e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DY" for ibody=6
d(Face)/d(DY) check complete with 0 total errors (errmax= 5.1398e-10)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.9193e-10)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DZ" for ibody=6
d(Face)/d(DZ) check complete with 0 total errors (errmax= 9.5807e-10)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 5.1398e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.068 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5807e-10) with 0 suppressions
real 0m0.272s
user 0m0.308s
sys 0m0.008s
++++ set +x
data/basic/design0t3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 29 / 180 )
data/basic/design0u.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0u.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "rx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rx" for ibody=1
d(Face)/d(rx) check complete with 0 total errors (errmax= 0.0000e+00)
iedge= 1, ipnt= 24 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 2.57404367 0.00000000)
iedge= 1, ipnt= 27 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011545 (at 0.52562942 2.80922085 0.00000000)
iedge= 1, ipnt= 28 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at 0.43146765 2.87377079 0.00000000)
iedge= 1, ipnt= 29 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 2.92802835 0.00000000)
iedge= 1, ipnt= 29 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046645 (at 0.33094622 2.92802835 0.00000000)
iedge= 1, ipnt= 31 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at 0.11279946 2.98530050 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 0.00000000)
iedge= 2, ipnt= 3 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011546 (at -0.52562942 2.80922085 0.00000000)
iedge= 2, ipnt= 8 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 2.57404367 0.00000000)
iedge= 3, ipnt= 24 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 0.00000000)
iedge= 3, ipnt= 27 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 0.00000000)
iedge= 3, ipnt= 28 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 0.00000000)
iedge= 3, ipnt= 29 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 -2.92802835 0.00000000)
iedge= 3, ipnt= 29 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046645 (at -0.33094622 -2.92802835 0.00000000)
iedge= 3, ipnt= 31 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at -0.11279946 -2.98530050 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 0.00000000)
iedge= 4, ipnt= 3 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 0.00000000)
iedge= 4, ipnt= 3 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 0.00000000)
iedge= 4, ipnt= 4 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 0.00000000)
iedge= 4, ipnt= 5 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011546 (at 0.52562942 -2.80922085 0.00000000)
iedge= 4, ipnt= 8 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 -2.57404367 0.00000000)
d(Edge)/d(rx) check complete with 24 total errors (errmax= 4.6646e-04)
d(Node)/d(rx) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ry"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ry" for ibody=1
d(Face)/d(ry) check complete with 0 total errors (errmax= 0.0000e+00)
iedge= 1, ipnt= 29 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 0.00000000)
iedge= 1, ipnt= 29 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at 0.33094622 2.92802835 0.00000000)
iedge= 1, ipnt= 31 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at 0.11279946 2.98530050 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 0.00000000)
iedge= 2, ipnt= 3 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 2.92802835 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at -0.33094622 2.92802835 0.00000000)
iedge= 3, ipnt= 29 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 0.00000000)
iedge= 3, ipnt= 29 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at -0.33094622 -2.92802835 0.00000000)
iedge= 3, ipnt= 31 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at -0.11279946 -2.98530050 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 0.00000000)
iedge= 4, ipnt= 3 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 -2.92802835 0.00000000)
iedge= 4, ipnt= 3 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at 0.33094622 -2.92802835 0.00000000)
d(Edge)/d(ry) check complete with 12 total errors (errmax= 2.3319e-04)
d(Node)/d(ry) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.001 sec
Sensitivity checks complete with 36 total errors (max config err= 4.6646e-04) with 0 suppressions
real 0m0.086s
user 0m0.084s
sys 0m0.008s
++++ set +x
data/basic/design0u -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 30 / 180 )
data/basic/design0v.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0v.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "rx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "rx" for ibody=2
iface= 1, ipnt= 151 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 2.57404367 2.90625000)
iface= 1, ipnt= 154 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011545 (at 0.52562942 2.80922085 2.90625000)
iface= 1, ipnt= 155 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at 0.43146765 2.87377079 2.90625000)
iface= 1, ipnt= 156 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 2.92802835 2.90625000)
iface= 1, ipnt= 156 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046645 (at 0.33094622 2.92802835 2.90625000)
iface= 1, ipnt= 158 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at 0.11279946 2.98530050 2.90625000)
iface= 1, ipnt= 182 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 2.57404367 2.81250000)
iface= 1, ipnt= 185 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011545 (at 0.52562942 2.80922085 2.81250000)
iface= 1, ipnt= 186 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at 0.43146765 2.87377079 2.81250000)
iface= 1, ipnt= 187 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 2.92802835 2.81250000)
...too many errors to list
iface= 2, ipnt= 128 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 2.90625000)
iface= 2, ipnt= 130 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 2.90625000)
iface= 2, ipnt= 130 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 2.90625000)
iface= 2, ipnt= 131 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 2.90625000)
iface= 2, ipnt= 132 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011546 (at -0.52562942 2.80922085 2.90625000)
iface= 2, ipnt= 135 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 2.57404367 2.90625000)
iface= 2, ipnt= 159 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 2.81250000)
iface= 2, ipnt= 161 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 2.81250000)
iface= 2, ipnt= 161 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 2.81250000)
iface= 2, ipnt= 162 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 2.81250000)
...too many errors to list
iface= 3, ipnt= 151 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 2.90625000)
iface= 3, ipnt= 154 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 2.90625000)
iface= 3, ipnt= 155 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 2.90625000)
iface= 3, ipnt= 156 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 -2.92802835 2.90625000)
iface= 3, ipnt= 156 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046645 (at -0.33094622 -2.92802835 2.90625000)
iface= 3, ipnt= 158 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at -0.11279946 -2.98530050 2.90625000)
iface= 3, ipnt= 182 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 2.81250000)
iface= 3, ipnt= 185 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 2.81250000)
iface= 3, ipnt= 186 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 2.81250000)
iface= 3, ipnt= 187 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 -2.92802835 2.81250000)
...too many errors to list
iface= 4, ipnt= 128 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 2.90625000)
iface= 4, ipnt= 130 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 2.90625000)
iface= 4, ipnt= 130 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 2.90625000)
iface= 4, ipnt= 131 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 2.90625000)
iface= 4, ipnt= 132 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011546 (at 0.52562942 -2.80922085 2.90625000)
iface= 4, ipnt= 135 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 -2.57404367 2.90625000)
iface= 4, ipnt= 159 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 2.81250000)
iface= 4, ipnt= 161 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 2.81250000)
iface= 4, ipnt= 161 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 2.81250000)
iface= 4, ipnt= 162 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 2.81250000)
...too many errors to list
d(Face)/d(rx) check complete with 744 total errors (errmax= 4.6646e-04)
iedge= 3, ipnt= 24 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 2.57404367 0.00000000)
iedge= 3, ipnt= 27 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011545 (at 0.52562942 2.80922085 0.00000000)
iedge= 3, ipnt= 28 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at 0.43146765 2.87377079 0.00000000)
iedge= 3, ipnt= 29 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 2.92802835 0.00000000)
iedge= 3, ipnt= 29 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046645 (at 0.33094622 2.92802835 0.00000000)
iedge= 3, ipnt= 31 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at 0.11279946 2.98530050 0.00000000)
iedge= 4, ipnt= 24 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 2.57404367 3.00000000)
iedge= 4, ipnt= 27 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011545 (at 0.52562942 2.80922085 3.00000000)
iedge= 4, ipnt= 28 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at 0.43146765 2.87377079 3.00000000)
iedge= 4, ipnt= 29 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 2.92802835 3.00000000)
iedge= 4, ipnt= 29 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046645 (at 0.33094622 2.92802835 3.00000000)
iedge= 4, ipnt= 31 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at 0.11279946 2.98530050 3.00000000)
iedge= 6, ipnt= 1 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 0.00000000)
iedge= 6, ipnt= 3 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 0.00000000)
iedge= 6, ipnt= 3 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 0.00000000)
iedge= 6, ipnt= 4 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 0.00000000)
iedge= 6, ipnt= 5 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011546 (at -0.52562942 2.80922085 0.00000000)
iedge= 6, ipnt= 8 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 2.57404367 0.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.00947018, fd= 0.00981610, err= -0.00034591 (at -0.11279946 2.98530050 3.00000000)
iedge= 7, ipnt= 3 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 2.92802835 3.00000000)
iedge= 7, ipnt= 3 (Y): anal= 0.08308878, fd= 0.08262232, err= 0.00046646 (at -0.33094622 2.92802835 3.00000000)
iedge= 7, ipnt= 4 (Y): anal= 0.12879629, fd= 0.12864538, err= 0.00015091 (at -0.43146765 2.87377079 3.00000000)
iedge= 7, ipnt= 5 (Y): anal= 0.16831907, fd= 0.16843453, err= -0.00011546 (at -0.52562942 2.80922085 3.00000000)
iedge= 7, ipnt= 8 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 2.57404367 3.00000000)
iedge= 9, ipnt= 24 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 0.00000000)
iedge= 9, ipnt= 27 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 0.00000000)
iedge= 9, ipnt= 28 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 0.00000000)
iedge= 9, ipnt= 29 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 -2.92802835 0.00000000)
iedge= 9, ipnt= 29 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046645 (at -0.33094622 -2.92802835 0.00000000)
iedge= 9, ipnt= 31 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at -0.11279946 -2.98530050 0.00000000)
iedge= 10, ipnt= 24 (X): anal= -0.30274912, fd= -0.30263556, err= -0.00011356 (at -0.77064447 -2.57404367 3.00000000)
iedge= 10, ipnt= 27 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011545 (at -0.52562942 -2.80922085 3.00000000)
iedge= 10, ipnt= 28 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at -0.43146765 -2.87377079 3.00000000)
iedge= 10, ipnt= 29 (X): anal= -0.03774996, fd= -0.03753803, err= -0.00021193 (at -0.33094622 -2.92802835 3.00000000)
iedge= 10, ipnt= 29 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046645 (at -0.33094622 -2.92802835 3.00000000)
iedge= 10, ipnt= 31 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at -0.11279946 -2.98530050 3.00000000)
iedge= 11, ipnt= 1 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 0.00000000)
iedge= 11, ipnt= 3 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 0.00000000)
iedge= 11, ipnt= 3 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 0.00000000)
iedge= 11, ipnt= 4 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 0.00000000)
iedge= 11, ipnt= 5 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011546 (at 0.52562942 -2.80922085 0.00000000)
iedge= 11, ipnt= 8 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 -2.57404367 0.00000000)
iedge= 12, ipnt= 1 (Y): anal= -0.00947018, fd= -0.00981610, err= 0.00034591 (at 0.11279946 -2.98530050 3.00000000)
iedge= 12, ipnt= 3 (X): anal= 0.03774996, fd= 0.03753803, err= 0.00021193 (at 0.33094622 -2.92802835 3.00000000)
iedge= 12, ipnt= 3 (Y): anal= -0.08308878, fd= -0.08262232, err= -0.00046646 (at 0.33094622 -2.92802835 3.00000000)
iedge= 12, ipnt= 4 (Y): anal= -0.12879629, fd= -0.12864538, err= -0.00015091 (at 0.43146765 -2.87377079 3.00000000)
iedge= 12, ipnt= 5 (Y): anal= -0.16831907, fd= -0.16843453, err= 0.00011546 (at 0.52562942 -2.80922085 3.00000000)
iedge= 12, ipnt= 8 (X): anal= 0.30274912, fd= 0.30263556, err= 0.00011356 (at 0.77064447 -2.57404367 3.00000000)
d(Edge)/d(rx) check complete with 48 total errors (errmax= 4.6646e-04)
d(Node)/d(rx) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ry"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "ry" for ibody=2
iface= 1, ipnt= 156 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 2.90625000)
iface= 1, ipnt= 156 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at 0.33094622 2.92802835 2.90625000)
iface= 1, ipnt= 158 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at 0.11279946 2.98530050 2.90625000)
iface= 1, ipnt= 187 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 2.81250000)
iface= 1, ipnt= 187 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at 0.33094622 2.92802835 2.81250000)
iface= 1, ipnt= 189 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at 0.11279946 2.98530050 2.81250000)
iface= 1, ipnt= 218 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 2.71875000)
iface= 1, ipnt= 218 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at 0.33094622 2.92802835 2.71875000)
iface= 1, ipnt= 220 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at 0.11279946 2.98530050 2.71875000)
iface= 1, ipnt= 249 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 2.62500000)
...too many errors to list
iface= 2, ipnt= 128 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 2.90625000)
iface= 2, ipnt= 130 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 2.92802835 2.90625000)
iface= 2, ipnt= 130 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at -0.33094622 2.92802835 2.90625000)
iface= 2, ipnt= 159 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 2.81250000)
iface= 2, ipnt= 161 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 2.92802835 2.81250000)
iface= 2, ipnt= 161 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at -0.33094622 2.92802835 2.81250000)
iface= 2, ipnt= 190 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 2.71875000)
iface= 2, ipnt= 192 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 2.92802835 2.71875000)
iface= 2, ipnt= 192 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at -0.33094622 2.92802835 2.71875000)
iface= 2, ipnt= 221 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 2.62500000)
...too many errors to list
iface= 3, ipnt= 156 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 2.90625000)
iface= 3, ipnt= 156 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at -0.33094622 -2.92802835 2.90625000)
iface= 3, ipnt= 158 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at -0.11279946 -2.98530050 2.90625000)
iface= 3, ipnt= 187 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 2.81250000)
iface= 3, ipnt= 187 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at -0.33094622 -2.92802835 2.81250000)
iface= 3, ipnt= 189 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at -0.11279946 -2.98530050 2.81250000)
iface= 3, ipnt= 218 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 2.71875000)
iface= 3, ipnt= 218 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at -0.33094622 -2.92802835 2.71875000)
iface= 3, ipnt= 220 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at -0.11279946 -2.98530050 2.71875000)
iface= 3, ipnt= 249 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 2.62500000)
...too many errors to list
iface= 4, ipnt= 128 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 2.90625000)
iface= 4, ipnt= 130 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 -2.92802835 2.90625000)
iface= 4, ipnt= 130 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at 0.33094622 -2.92802835 2.90625000)
iface= 4, ipnt= 159 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 2.81250000)
iface= 4, ipnt= 161 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 -2.92802835 2.81250000)
iface= 4, ipnt= 161 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at 0.33094622 -2.92802835 2.81250000)
iface= 4, ipnt= 190 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 2.71875000)
iface= 4, ipnt= 192 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 -2.92802835 2.71875000)
iface= 4, ipnt= 192 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at 0.33094622 -2.92802835 2.71875000)
iface= 4, ipnt= 221 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 2.62500000)
...too many errors to list
d(Face)/d(ry) check complete with 372 total errors (errmax= 2.3319e-04)
iedge= 3, ipnt= 29 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 0.00000000)
iedge= 3, ipnt= 29 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at 0.33094622 2.92802835 0.00000000)
iedge= 3, ipnt= 31 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at 0.11279946 2.98530050 0.00000000)
iedge= 4, ipnt= 29 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 2.92802835 3.00000000)
iedge= 4, ipnt= 29 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at 0.33094622 2.92802835 3.00000000)
iedge= 4, ipnt= 31 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at 0.11279946 2.98530050 3.00000000)
iedge= 6, ipnt= 1 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 0.00000000)
iedge= 6, ipnt= 3 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 2.92802835 0.00000000)
iedge= 6, ipnt= 3 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at -0.33094622 2.92802835 0.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.97905997, fd= 0.97888701, err= 0.00017296 (at -0.11279946 2.98530050 3.00000000)
iedge= 7, ipnt= 3 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 2.92802835 3.00000000)
iedge= 7, ipnt= 3 (Y): anal= 0.80901411, fd= 0.80924730, err= -0.00023319 (at -0.33094622 2.92802835 3.00000000)
iedge= 9, ipnt= 29 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 0.00000000)
iedge= 9, ipnt= 29 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at -0.33094622 -2.92802835 0.00000000)
iedge= 9, ipnt= 31 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at -0.11279946 -2.98530050 0.00000000)
iedge= 10, ipnt= 29 (X): anal= -0.36756168, fd= -0.36766762, err= 0.00010595 (at -0.33094622 -2.92802835 3.00000000)
iedge= 10, ipnt= 29 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at -0.33094622 -2.92802835 3.00000000)
iedge= 10, ipnt= 31 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at -0.11279946 -2.98530050 3.00000000)
iedge= 11, ipnt= 1 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 0.00000000)
iedge= 11, ipnt= 3 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 -2.92802835 0.00000000)
iedge= 11, ipnt= 3 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at 0.33094622 -2.92802835 0.00000000)
iedge= 12, ipnt= 1 (Y): anal= -0.97905997, fd= -0.97888701, err= -0.00017296 (at 0.11279946 -2.98530050 3.00000000)
iedge= 12, ipnt= 3 (X): anal= 0.36756168, fd= 0.36766762, err= -0.00010595 (at 0.33094622 -2.92802835 3.00000000)
iedge= 12, ipnt= 3 (Y): anal= -0.80901411, fd= -0.80924730, err= 0.00023319 (at 0.33094622 -2.92802835 3.00000000)
d(Edge)/d(ry) check complete with 24 total errors (errmax= 2.3319e-04)
d(Node)/d(ry) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "span"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=2
Computing finite difference sensitivities for ibody=2
Comparing configuration sensitivities wrt "span" for ibody=2
d(Face)/d(span) check complete with 0 total errors (errmax= 8.4056e-10)
d(Edge)/d(span) check complete with 0 total errors (errmax= 7.4840e-10)
d(Node)/d(span) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.011 sec
Sensitivity checks complete with 1188 total errors (max config err= 4.6646e-04) with 0 suppressions
real 0m0.159s
user 0m0.196s
sys 0m0.008s
++++ set +x
data/basic/design0v -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 31 / 180 )
data/basic/design0w.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design0w.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xle[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "xle[1,1]" for ibody=26
d(Face)/d(xle) check complete with 0 total errors (errmax= 4.0622e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 5.7150e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 3.0478e-10)
*********************************************************
Starting configuration sensitivity wrt "xle[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "xle[2,1]" for ibody=26
d(Face)/d(xle) check complete with 0 total errors (errmax= 4.3131e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 4.5978e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 3.0478e-10)
*********************************************************
Starting configuration sensitivity wrt "xle[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "xle[3,1]" for ibody=26
d(Face)/d(xle) check complete with 0 total errors (errmax= 2.9412e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 4.6652e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 3.0478e-10)
*********************************************************
Starting configuration sensitivity wrt "xle[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "xle[4,1]" for ibody=26
d(Face)/d(xle) check complete with 0 total errors (errmax= 4.3366e-10)
d(Edge)/d(xle) check complete with 0 total errors (errmax= 3.8715e-10)
d(Node)/d(xle) check complete with 0 total errors (errmax= 8.2740e-11)
*********************************************************
Starting configuration sensitivity wrt "yle[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "yle[1,1]" for ibody=26
d(Face)/d(yle) check complete with 0 total errors (errmax= 2.4938e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 6.3752e-11)
d(Node)/d(yle) check complete with 0 total errors (errmax= 4.3368e-19)
*********************************************************
Starting configuration sensitivity wrt "yle[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "yle[2,1]" for ibody=26
d(Face)/d(yle) check complete with 0 total errors (errmax= 2.5120e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 1.3930e-10)
d(Node)/d(yle) check complete with 0 total errors (errmax= 2.8282e-11)
*********************************************************
Starting configuration sensitivity wrt "yle[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "yle[3,1]" for ibody=26
d(Face)/d(yle) check complete with 0 total errors (errmax= 2.5307e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 3.0478e-10)
d(Node)/d(yle) check complete with 0 total errors (errmax= 8.2740e-11)
*********************************************************
Starting configuration sensitivity wrt "yle[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "yle[4,1]" for ibody=26
d(Face)/d(yle) check complete with 0 total errors (errmax= 2.5307e-10)
d(Edge)/d(yle) check complete with 0 total errors (errmax= 7.4887e-10)
d(Node)/d(yle) check complete with 0 total errors (errmax= 3.0478e-10)
*********************************************************
Starting configuration sensitivity wrt "zle[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "zle[1,1]" for ibody=26
d(Face)/d(zle) check complete with 0 total errors (errmax= 2.8991e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 8.7658e-11)
d(Node)/d(zle) check complete with 0 total errors (errmax= 2.8282e-11)
*********************************************************
Starting configuration sensitivity wrt "zle[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "zle[2,1]" for ibody=26
d(Face)/d(zle) check complete with 0 total errors (errmax= 2.6061e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 8.2476e-11)
d(Node)/d(zle) check complete with 0 total errors (errmax= 5.2636e-13)
*********************************************************
Starting configuration sensitivity wrt "zle[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "zle[3,1]" for ibody=26
d(Face)/d(zle) check complete with 0 total errors (errmax= 2.7149e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 1.0413e-10)
d(Node)/d(zle) check complete with 0 total errors (errmax= 2.8282e-11)
*********************************************************
Starting configuration sensitivity wrt "zle[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "zle[4,1]" for ibody=26
d(Face)/d(zle) check complete with 0 total errors (errmax= 2.5307e-10)
d(Edge)/d(zle) check complete with 0 total errors (errmax= 1.8257e-10)
d(Node)/d(zle) check complete with 0 total errors (errmax= 2.8282e-11)
*********************************************************
Starting configuration sensitivity wrt "twist[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "twist[1,1]" for ibody=26
d(Face)/d(twist) check complete with 0 total errors (errmax= 1.0790e-06)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.0816e-06)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.6524e-10)
*********************************************************
Starting configuration sensitivity wrt "twist[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "twist[2,1]" for ibody=26
d(Face)/d(twist) check complete with 0 total errors (errmax= 5.9697e-07)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 6.2029e-07)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.2480e-10)
*********************************************************
Starting configuration sensitivity wrt "twist[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "twist[3,1]" for ibody=26
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.8252e-07)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.0340e-07)
d(Node)/d(twist) check complete with 0 total errors (errmax= 2.8547e-10)
*********************************************************
Starting configuration sensitivity wrt "twist[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "twist[4,1]" for ibody=26
d(Face)/d(twist) check complete with 0 total errors (errmax= 2.0970e-07)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 2.2547e-07)
d(Node)/d(twist) check complete with 0 total errors (errmax= 2.7524e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "chord[1,1]" for ibody=26
d(Face)/d(chord) check complete with 0 total errors (errmax= 4.6097e-07)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 4.7431e-07)
d(Node)/d(chord) check complete with 0 total errors (errmax= 1.6131e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "chord[2,1]" for ibody=26
d(Face)/d(chord) check complete with 0 total errors (errmax= 4.7466e-07)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 4.7689e-07)
d(Node)/d(chord) check complete with 0 total errors (errmax= 2.4029e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "chord[3,1]" for ibody=26
d(Face)/d(chord) check complete with 0 total errors (errmax= 4.5312e-07)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 4.7094e-07)
d(Node)/d(chord) check complete with 0 total errors (errmax= 1.9318e-10)
*********************************************************
Starting configuration sensitivity wrt "chord[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "chord[4,1]" for ibody=26
d(Face)/d(chord) check complete with 0 total errors (errmax= 4.3988e-07)
d(Edge)/d(chord) check complete with 0 total errors (errmax= 4.7749e-07)
d(Node)/d(chord) check complete with 0 total errors (errmax= 1.6448e-10)
*********************************************************
Starting configuration sensitivity wrt "thick[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "thick[1,1]" for ibody=26
iface= 1, ipnt= 76 (X): anal= 0.02280995, fd= 0.02258486, err= 0.00022509 (at 1.08672261 0.27206808 0.22437129)
iface= 1, ipnt= 76 (Z): anal= 0.17433405, fd= 0.17261369, err= 0.00172036 (at 1.08672261 0.27206808 0.22437129)
iface= 1, ipnt= 77 (X): anal= 0.01946451, fd= 0.01857673, err= 0.00088778 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 77 (Y): anal= -0.01002693, fd= -0.00956960, err= -0.00045733 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 77 (Z): anal= 0.08188208, fd= 0.07814743, err= 0.00373465 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 78 (X): anal= 0.04831630, fd= 0.04776534, err= 0.00055096 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 78 (Y): anal= -0.01941923, fd= -0.01919779, err= -0.00022144 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 78 (Z): anal= 0.22154407, fd= 0.21901777, err= 0.00252630 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 79 (X): anal= 0.04609101, fd= 0.04499712, err= 0.00109390 (at 1.17098527 0.18962439 0.20314984)
iface= 1, ipnt= 79 (Y): anal= -0.02295307, fd= -0.02240831, err= -0.00054476 (at 1.17098527 0.18962439 0.20314984)
...too many errors to list
iface= 4, ipnt= 109 (Y): anal= 0.06646830, fd= 0.06664778, err= -0.00017947 (at 0.53117012 0.12037472 0.28078311)
iface= 4, ipnt= 109 (Z): anal= 0.31436700, fd= 0.31521583, err= -0.00084883 (at 0.53117012 0.12037472 0.28078311)
iface= 4, ipnt= 110 (Y): anal= 0.06122828, fd= 0.06143897, err= -0.00021068 (at 0.57098288 0.15046840 0.27393714)
iface= 4, ipnt= 110 (Z): anal= 0.28293377, fd= 0.28390734, err= -0.00097357 (at 0.57098288 0.15046840 0.27393714)
iface= 4, ipnt= 111 (Y): anal= 0.05331736, fd= 0.05356374, err= -0.00024638 (at 0.62849018 0.19393705 0.26404855)
iface= 4, ipnt= 111 (Z): anal= 0.23767296, fd= 0.23877124, err= -0.00109827 (at 0.62849018 0.19393705 0.26404855)
iface= 4, ipnt= 112 (Y): anal= 0.04951322, fd= 0.04977147, err= -0.00025824 (at 0.65503201 0.21399950 0.25948459)
iface= 4, ipnt= 112 (Z): anal= 0.21685172, fd= 0.21798273, err= -0.00113101 (at 0.65503201 0.21399950 0.25948459)
iface= 4, ipnt= 113 (Y): anal= 0.04360305, fd= 0.04387233, err= -0.00026928 (at 0.69484475 0.24409318 0.25263865)
iface= 4, ipnt= 113 (Z): anal= 0.18571774, fd= 0.18686467, err= -0.00114692 (at 0.69484475 0.24409318 0.25263865)
...too many errors to list
iface= 7, ipnt= 108 (X): anal= -0.05806986, fd= -0.05782221, err= -0.00024765 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 108 (Y): anal= 0.07294533, fd= 0.07263423, err= 0.00031109 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 108 (Z): anal= -0.30698754, fd= -0.30567831, err= -0.00130922 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 109 (X): anal= -0.05071108, fd= -0.05042635, err= -0.00028473 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 109 (Y): anal= 0.06349568, fd= 0.06313918, err= 0.00035651 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 109 (Z): anal= -0.27855008, fd= -0.27698610, err= -0.00156397 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 110 (X): anal= -0.04046185, fd= -0.04014748, err= -0.00031437 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 110 (Y): anal= 0.05037326, fd= 0.04998189, err= 0.00039137 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 110 (Z): anal= -0.23696635, fd= -0.23512525, err= -0.00184109 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 111 (X): anal= -0.03294741, fd= -0.03263055, err= -0.00031686 (at 0.66459073 0.22737447 0.16295981)
...too many errors to list
iface= 10, ipnt= 76 (Y): anal= 0.02078666, fd= 0.02091315, err= -0.00012649 (at 1.07991988 0.27206260 0.13599652)
iface= 10, ipnt= 76 (Z): anal= -0.17222327, fd= -0.17327126, err= 0.00104798 (at 1.07991988 0.27206260 0.13599652)
iface= 10, ipnt= 77 (Z): anal= -0.08269946, fd= -0.08290906, err= 0.00020960 (at 1.24600995 0.30729906 0.14676847)
iface= 10, ipnt= 78 (Y): anal= 0.02336145, fd= 0.02347645, err= -0.00011500 (at 1.10791694 0.18112494 0.12594840)
iface= 10, ipnt= 78 (Z): anal= -0.22415780, fd= -0.22526125, err= 0.00110345 (at 1.10791694 0.18112494 0.12594840)
iface= 10, ipnt= 79 (Z): anal= -0.17810199, fd= -0.17792314, err= -0.00017885 (at 1.16413321 0.18961055 0.13016240)
iface= 10, ipnt= 80 (X): anal= 0.01699435, fd= 0.01630603, err= 0.00068832 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 80 (Y): anal= -0.00373687, fd= -0.00358551, err= -0.00015135 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 80 (Z): anal= -0.04106628, fd= -0.03940298, err= -0.00166330 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 81 (X): anal= 0.02585035, fd= 0.02544760, err= 0.00040274 (at 1.23740574 0.19980497 0.14291002)
...too many errors to list
d(Face)/d(thick) check complete with 2509 total errors (errmax= 7.3049e-03)
iedge= 2, ipnt= 1 (X): anal= 0.04915554, fd= 0.04484978, err= 0.00430575 (at 1.16201397 0.00000000 0.15725553)
iedge= 2, ipnt= 1 (Z): anal= 0.04109367, fd= 0.03749410, err= 0.00359958 (at 1.16201397 0.00000000 0.15725553)
iedge= 2, ipnt= 2 (X): anal= 0.07892870, fd= 0.07738444, err= 0.00154426 (at 1.14958817 0.00000000 0.16877713)
iedge= 2, ipnt= 2 (Z): anal= 0.10584193, fd= 0.10377110, err= 0.00207083 (at 1.14958817 0.00000000 0.16877713)
iedge= 2, ipnt= 3 (X): anal= 0.09435428, fd= 0.09762491, err= -0.00327063 (at 1.11963503 0.00000000 0.18583304)
iedge= 2, ipnt= 3 (Z): anal= 0.20633728, fd= 0.21348961, err= -0.00715233 (at 1.11963503 0.00000000 0.18583304)
iedge= 2, ipnt= 4 (X): anal= 0.09653328, fd= 0.09596168, err= 0.00057160 (at 1.08766357 0.00000000 0.19848031)
iedge= 2, ipnt= 4 (Z): anal= 0.27196209, fd= 0.27035172, err= 0.00161037 (at 1.08766357 0.00000000 0.19848031)
iedge= 2, ipnt= 5 (X): anal= 0.09967382, fd= 0.09947820, err= 0.00019562 (at 1.05476479 0.00000000 0.20939820)
iedge= 2, ipnt= 5 (Z): anal= 0.32042234, fd= 0.31979348, err= 0.00062885 (at 1.05476479 0.00000000 0.20939820)
...too many errors to list
iedge= 11, ipnt= 8 (Z): anal= 0.45739519, fd= 0.45749559, err= -0.00010040 (at 0.37191884 0.00000000 0.30816720)
iedge= 11, ipnt= 10 (Z): anal= 0.40701652, fd= 0.40677534, err= 0.00024118 (at 0.30273338 0.00000000 0.30869799)
iedge= 11, ipnt= 11 (Z): anal= 0.37422361, fd= 0.37488401, err= -0.00066040 (at 0.26820664 0.00000000 0.30787850)
iedge= 11, ipnt= 12 (Z): anal= 0.33481142, fd= 0.33415433, err= 0.00065709 (at 0.23363293 0.00000000 0.30610022)
iedge= 11, ipnt= 13 (X): anal= -0.03071234, fd= -0.03053048, err= -0.00018186 (at 0.19909786 0.00000000 0.30312380)
iedge= 11, ipnt= 13 (Z): anal= 0.28694739, fd= 0.28524829, err= 0.00169910 (at 0.19909786 0.00000000 0.30312380)
iedge= 11, ipnt= 14 (X): anal= -0.04383835, fd= -0.04535793, err= 0.00151958 (at 0.16506299 0.00000000 0.29824987)
iedge= 11, ipnt= 14 (Z): anal= 0.22261178, fd= 0.23032823, err= -0.00771646 (at 0.16506299 0.00000000 0.29824987)
iedge= 11, ipnt= 15 (X): anal= -0.05031353, fd= -0.05229177, err= 0.00197824 (at 0.14831682 0.00000000 0.29427729)
iedge= 11, ipnt= 15 (Z): anal= 0.17818260, fd= 0.18518843, err= -0.00700582 (at 0.14831682 0.00000000 0.29427729)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= -0.04915554, fd= -0.04484978, err= -0.00430575 (at 0.11407294 -0.00000000 0.25370739)
iedge= 18, ipnt= 1 (Z): anal= -0.04109367, fd= -0.03749409, err= -0.00359958 (at 0.11407294 -0.00000000 0.25370739)
iedge= 18, ipnt= 2 (X): anal= -0.07892870, fd= -0.07738444, err= -0.00154427 (at 0.12649875 -0.00000000 0.24218579)
iedge= 18, ipnt= 2 (Z): anal= -0.10584193, fd= -0.10377110, err= -0.00207083 (at 0.12649875 -0.00000000 0.24218579)
iedge= 18, ipnt= 3 (X): anal= -0.09435428, fd= -0.09762491, err= 0.00327063 (at 0.15645188 -0.00000000 0.22512987)
iedge= 18, ipnt= 3 (Z): anal= -0.20633728, fd= -0.21348961, err= 0.00715233 (at 0.15645188 -0.00000000 0.22512987)
iedge= 18, ipnt= 4 (X): anal= -0.09653328, fd= -0.09596168, err= -0.00057160 (at 0.18842334 -0.00000000 0.21248260)
iedge= 18, ipnt= 4 (Z): anal= -0.27196209, fd= -0.27035172, err= -0.00161037 (at 0.18842334 -0.00000000 0.21248260)
iedge= 18, ipnt= 5 (X): anal= -0.09967382, fd= -0.09947820, err= -0.00019562 (at 0.22132212 -0.00000000 0.20156471)
iedge= 18, ipnt= 5 (Z): anal= -0.32042234, fd= -0.31979348, err= -0.00062885 (at 0.22132212 -0.00000000 0.20156471)
...too many errors to list
iedge= 25, ipnt= 8 (Z): anal= -0.45739519, fd= -0.45749559, err= 0.00010040 (at 0.90416807 -0.00000000 0.10279572)
iedge= 25, ipnt= 10 (Z): anal= -0.40701652, fd= -0.40677534, err= -0.00024118 (at 0.97335354 -0.00000000 0.10226492)
iedge= 25, ipnt= 11 (Z): anal= -0.37422361, fd= -0.37488401, err= 0.00066040 (at 1.00788027 -0.00000000 0.10308441)
iedge= 25, ipnt= 12 (Z): anal= -0.33481142, fd= -0.33415433, err= -0.00065709 (at 1.04245398 -0.00000000 0.10486269)
iedge= 25, ipnt= 13 (X): anal= 0.03071234, fd= 0.03053048, err= 0.00018186 (at 1.07698905 -0.00000000 0.10783912)
iedge= 25, ipnt= 13 (Z): anal= -0.28694739, fd= -0.28524829, err= -0.00169910 (at 1.07698905 -0.00000000 0.10783912)
iedge= 25, ipnt= 14 (X): anal= 0.04383835, fd= 0.04535793, err= -0.00151958 (at 1.11102393 -0.00000000 0.11271304)
iedge= 25, ipnt= 14 (Z): anal= -0.22261178, fd= -0.23032823, err= 0.00771646 (at 1.11102393 -0.00000000 0.11271304)
iedge= 25, ipnt= 15 (X): anal= 0.05218102, fd= 0.05116009, err= 0.00102094 (at 1.14411988 -0.00000000 0.12234387)
iedge= 25, ipnt= 15 (Z): anal= -0.12128230, fd= -0.11890937, err= -0.00237293 (at 1.14411988 -0.00000000 0.12234387)
...too many errors to list
d(Edge)/d(thick) check complete with 52 total errors (errmax= 7.7165e-03)
d(Node)/d(thick) check complete with 0 total errors (errmax= 9.3983e-11)
*********************************************************
Starting configuration sensitivity wrt "thick[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "thick[2,1]" for ibody=26
iface= 1, ipnt= 76 (X): anal= 0.02114152, fd= 0.02131992, err= -0.00017840 (at 1.08672261 0.27206808 0.22437129)
iface= 1, ipnt= 76 (Z): anal= 0.16158244, fd= 0.16294593, err= -0.00136349 (at 1.08672261 0.27206808 0.22437129)
iface= 1, ipnt= 77 (X): anal= 0.02672097, fd= 0.02717332, err= -0.00045234 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 77 (Y): anal= -0.01376502, fd= -0.01399804, err= 0.00023302 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 77 (Z): anal= 0.11240812, fd= 0.11431101, err= -0.00190290 (at 1.24944789 0.30730647 0.19833651)
iface= 1, ipnt= 78 (X): anal= 0.01880797, fd= 0.01927450, err= -0.00046653 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 78 (Y): anal= -0.00755928, fd= -0.00774678, err= 0.00018751 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 78 (Z): anal= 0.08623992, fd= 0.08837912, err= -0.00213919 (at 1.11645254 0.18113729 0.21533715)
iface= 1, ipnt= 79 (X): anal= 0.01956648, fd= 0.02015362, err= -0.00058715 (at 1.17098527 0.18962439 0.20314984)
iface= 1, ipnt= 79 (Y): anal= -0.00974399, fd= -0.01003639, err= 0.00029240 (at 1.17098527 0.18962439 0.20314984)
...too many errors to list
iface= 2, ipnt= 67 (Z): anal= 0.08006890, fd= 0.07956973, err= 0.00049917 (at 1.43776947 0.67171345 0.21750466)
iface= 2, ipnt= 68 (Z): anal= 0.03162945, fd= 0.03182509, err= -0.00019564 (at 1.52091308 0.69701463 0.21134433)
iface= 2, ipnt= 69 (X): anal= 0.00964996, fd= 0.00952679, err= 0.00012317 (at 1.44175749 0.62691567 0.21160807)
iface= 2, ipnt= 69 (Y): anal= -0.01196515, fd= -0.01181242, err= -0.00015273 (at 1.44175749 0.62691567 0.21160807)
iface= 2, ipnt= 69 (Z): anal= 0.08429780, fd= 0.08322181, err= 0.00107599 (at 1.44175749 0.62691567 0.21160807)
iface= 2, ipnt= 70 (X): anal= 0.01134775, fd= 0.01158103, err= -0.00023328 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 70 (Y): anal= -0.01191646, fd= -0.01216143, err= 0.00024497 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 70 (Z): anal= 0.06229631, fd= 0.06357696, err= -0.00128064 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 71 (X): anal= 0.00509101, fd= 0.00438117, err= 0.00070984 (at 1.51255296 0.65723670 0.20181965)
iface= 2, ipnt= 71 (Y): anal= -0.00379362, fd= -0.00326468, err= -0.00052895 (at 1.51255296 0.65723670 0.20181965)
...too many errors to list
iface= 4, ipnt= 109 (Y): anal= 0.01401060, fd= 0.01388251, err= 0.00012809 (at 0.53117012 0.12037472 0.28078311)
iface= 4, ipnt= 109 (Z): anal= 0.06626420, fd= 0.06565840, err= 0.00060580 (at 0.53117012 0.12037472 0.28078311)
iface= 4, ipnt= 110 (Y): anal= 0.01788871, fd= 0.01773578, err= 0.00015293 (at 0.57098288 0.15046840 0.27393714)
iface= 4, ipnt= 110 (Z): anal= 0.08266312, fd= 0.08195644, err= 0.00070667 (at 0.57098288 0.15046840 0.27393714)
iface= 4, ipnt= 111 (Y): anal= 0.02382079, fd= 0.02363956, err= 0.00018123 (at 0.62849018 0.19393705 0.26404855)
iface= 4, ipnt= 111 (Z): anal= 0.10618600, fd= 0.10537813, err= 0.00080787 (at 0.62849018 0.19393705 0.26404855)
iface= 4, ipnt= 112 (Y): anal= 0.02670625, fd= 0.02651568, err= 0.00019057 (at 0.65503201 0.21399950 0.25948459)
iface= 4, ipnt= 112 (Z): anal= 0.11696464, fd= 0.11613002, err= 0.00083462 (at 0.65503201 0.21399950 0.25948459)
iface= 4, ipnt= 113 (Y): anal= 0.03123102, fd= 0.03103192, err= 0.00019911 (at 0.69484475 0.24409318 0.25263865)
iface= 4, ipnt= 113 (Z): anal= 0.13302176, fd= 0.13217371, err= 0.00084805 (at 0.69484475 0.24409318 0.25263865)
...too many errors to list
iface= 5, ipnt= 99 (Z): anal= 0.19908473, fd= 0.19930236, err= -0.00021763 (at 1.01020881 0.49957300 0.21256632)
iface= 5, ipnt= 100 (Z): anal= 0.17794658, fd= 0.17820919, err= -0.00026261 (at 1.04323794 0.53237775 0.21337501)
iface= 5, ipnt= 101 (Z): anal= 0.15105948, fd= 0.15136071, err= -0.00030123 (at 1.08527502 0.57412925 0.21440428)
iface= 5, ipnt= 102 (Z): anal= 0.13954297, fd= 0.13985390, err= -0.00031092 (at 1.10329090 0.59202275 0.21484539)
iface= 5, ipnt= 103 (Z): anal= 0.11844153, fd= 0.11875870, err= -0.00031717 (at 1.13632002 0.62482750 0.21565411)
iface= 5, ipnt= 104 (Z): anal= 0.09735867, fd= 0.09766603, err= -0.00030736 (at 1.16934914 0.65763225 0.21646283)
iface= 5, ipnt= 105 (Z): anal= 0.07629843, fd= 0.07657838, err= -0.00027995 (at 1.20237827 0.69043700 0.21727153)
iface= 5, ipnt= 106 (Z): anal= 0.06099892, fd= 0.06124687, err= -0.00024795 (at 1.22639946 0.71429500 0.21785968)
iface= 5, ipnt= 107 (Z): anal= 0.03808222, fd= 0.03826118, err= -0.00017895 (at 1.26243125 0.75008200 0.21874188)
iface= 5, ipnt= 108 (Z): anal= 0.17144474, fd= 0.17203071, err= -0.00058597 (at 0.94353752 0.48466175 0.20853504)
...too many errors to list
iface= 7, ipnt= 108 (X): anal= -0.01201898, fd= -0.01223268, err= 0.00021370 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 108 (Y): anal= 0.01509782, fd= 0.01536627, err= -0.00026844 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 108 (Z): anal= -0.06353860, fd= -0.06466833, err= 0.00112974 (at 0.51906332 0.12037472 0.16506296)
iface= 7, ipnt= 109 (X): anal= -0.01455289, fd= -0.01479592, err= 0.00024303 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 109 (Y): anal= 0.01822177, fd= 0.01852606, err= -0.00030430 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 109 (Z): anal= -0.07993732, fd= -0.08127224, err= 0.00133492 (at 0.55999292 0.15046840 0.16447146)
iface= 7, ipnt= 110 (X): anal= -0.01776569, fd= -0.01803173, err= 0.00026604 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 110 (Y): anal= 0.02211752, fd= 0.02244873, err= -0.00033120 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 110 (Z): anal= -0.10404544, fd= -0.10560350, err= 0.00155806 (at 0.61911343 0.19393705 0.16361705)
iface= 7, ipnt= 111 (X): anal= -0.01980658, fd= -0.02007390, err= 0.00026732 (at 0.66459073 0.22737447 0.16295981)
...too many errors to list
iface= 8, ipnt= 99 (Z): anal= -0.19317152, fd= -0.19303774, err= -0.00013378 (at 1.01283391 0.50255525 0.16474104)
iface= 8, ipnt= 100 (Z): anal= -0.17276651, fd= -0.17256087, err= -0.00020564 (at 1.04600057 0.53536000 0.16725979)
iface= 8, ipnt= 101 (Z): anal= -0.14859064, fd= -0.14831963, err= -0.00027101 (at 1.08519752 0.57412925 0.17023647)
iface= 8, ipnt= 102 (Z): anal= -0.13740910, fd= -0.13711584, err= -0.00029327 (at 1.10328841 0.59202275 0.17161033)
iface= 8, ipnt= 103 (Z): anal= -0.11686913, fd= -0.11654948, err= -0.00031965 (at 1.13645505 0.62482750 0.17412906)
iface= 8, ipnt= 104 (Z): anal= -0.09627435, fd= -0.09594888, err= -0.00032547 (at 1.16962169 0.65763225 0.17664778)
iface= 8, ipnt= 105 (Z): anal= -0.07562197, fd= -0.07531378, err= -0.00030818 (at 1.20278834 0.69043700 0.17916652)
iface= 8, ipnt= 106 (Z): anal= -0.05867989, fd= -0.05840505, err= -0.00027484 (at 1.22992469 0.71727725 0.18122731)
iface= 8, ipnt= 107 (Z): anal= -0.03791634, fd= -0.03770850, err= -0.00020784 (at 1.26309136 0.75008200 0.18374606)
iface= 8, ipnt= 108 (Z): anal= -0.16653007, fd= -0.16674314, err= 0.00021307 (at 0.94316173 0.48466175 0.16795356)
...too many errors to list
iface= 10, ipnt= 76 (Y): anal= 0.01951776, fd= 0.01941384, err= 0.00010391 (at 1.07991988 0.27206260 0.13599652)
iface= 10, ipnt= 76 (Z): anal= -0.16171002, fd= -0.16084908, err= -0.00086094 (at 1.07991988 0.27206260 0.13599652)
iface= 10, ipnt= 77 (X): anal= 0.01390869, fd= 0.01373387, err= 0.00017482 (at 1.24600995 0.30729906 0.14676847)
iface= 10, ipnt= 77 (Z): anal= -0.11778491, fd= -0.11630443, err= -0.00148048 (at 1.24600995 0.30729906 0.14676847)
iface= 10, ipnt= 78 (Z): anal= -0.08958454, fd= -0.08877428, err= -0.00081026 (at 1.10791694 0.18112494 0.12594840)
iface= 10, ipnt= 79 (Z): anal= -0.07841392, fd= -0.07729947, err= -0.00111445 (at 1.16413321 0.18961055 0.13016240)
iface= 10, ipnt= 80 (X): anal= 0.01911871, fd= 0.01758241, err= 0.00153630 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 80 (Y): anal= -0.00420399, fd= -0.00386617, err= -0.00033782 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 80 (Z): anal= -0.04619971, fd= -0.04248729, err= -0.00371242 (at 1.27894580 0.27112950 0.15335348)
iface= 10, ipnt= 81 (X): anal= 0.01360520, fd= 0.01349500, err= 0.00011020 (at 1.23740574 0.19980497 0.14291002)
...too many errors to list
iface= 11, ipnt= 67 (Z): anal= -0.08042517, fd= -0.08066079, err= 0.00023562 (at 1.43807278 0.67171237 0.18180620)
iface= 11, ipnt= 68 (X): anal= 0.00755267, fd= 0.00778202, err= -0.00022935 (at 1.52111922 0.69701357 0.19352820)
iface= 11, ipnt= 68 (Z): anal= -0.03230792, fd= -0.03328900, err= 0.00098108 (at 1.52111922 0.69701357 0.19352820)
iface= 11, ipnt= 69 (Z): anal= -0.08550546, fd= -0.08529639, err= -0.00020907 (at 1.44186445 0.62691324 0.18102497)
iface= 11, ipnt= 70 (X): anal= 0.01227562, fd= 0.01270567, err= -0.00043006 (at 1.46689074 0.63132788 0.18485582)
iface= 11, ipnt= 70 (Z): anal= -0.06389439, fd= -0.06613283, err= 0.00223844 (at 1.46689074 0.63132788 0.18485582)
iface= 11, ipnt= 71 (X): anal= 0.00547372, fd= 0.00488393, err= 0.00058979 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 71 (Y): anal= -0.00291005, fd= -0.00259650, err= -0.00031355 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 71 (Z): anal= -0.00662177, fd= -0.00590828, err= -0.00071349 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 72 (X): anal= 0.00800746, fd= 0.00687103, err= 0.00113643 (at 1.49232981 0.62659564 0.19328417)
...too many errors to list
d(Face)/d(thick) check complete with 3447 total errors (errmax= 7.5904e-03)
iedge= 4, ipnt= 1 (X): anal= 0.01597498, fd= 0.01380493, err= 0.00217005 (at 1.36571766 0.42799900 0.18245793)
iedge= 4, ipnt= 1 (Z): anal= 0.01781695, fd= 0.01539669, err= 0.00242027 (at 1.36571766 0.42799900 0.18245793)
iedge= 4, ipnt= 2 (X): anal= 0.02548576, fd= 0.02155436, err= 0.00393140 (at 1.36219697 0.42799900 0.18507429)
iedge= 4, ipnt= 2 (Z): anal= 0.04118168, fd= 0.03482904, err= 0.00635263 (at 1.36219697 0.42799900 0.18507429)
iedge= 4, ipnt= 3 (X): anal= 0.02759142, fd= 0.02535740, err= 0.00223402 (at 1.35402106 0.42799900 0.18878525)
iedge= 4, ipnt= 3 (Z): anal= 0.08134077, fd= 0.07475477, err= 0.00658600 (at 1.35402106 0.42799900 0.18878525)
iedge= 4, ipnt= 4 (X): anal= 0.02824088, fd= 0.02948721, err= -0.00124633 (at 1.33629603 0.42799900 0.19342229)
iedge= 4, ipnt= 4 (Z): anal= 0.12508207, fd= 0.13060221, err= -0.00552013 (at 1.33629603 0.42799900 0.19342229)
iedge= 4, ipnt= 5 (Z): anal= 0.18259353, fd= 0.18185099, err= 0.00074254 (at 1.30068481 0.42799900 0.19958534)
iedge= 4, ipnt= 6 (Z): anal= 0.21901759, fd= 0.21886149, err= 0.00015610 (at 1.26461609 0.42799900 0.20379896)
iedge= 13, ipnt= 5 (Z): anal= 0.21952499, fd= 0.21936853, err= 0.00015647 (at 0.90188672 0.42799900 0.20863283)
iedge= 13, ipnt= 6 (Z): anal= 0.18317476, fd= 0.18242985, err= 0.00074490 (at 0.86571852 0.42799900 0.20538186)
iedge= 13, ipnt= 7 (X): anal= -0.02489766, fd= -0.02599645, err= 0.00109879 (at 0.82995572 0.42799900 0.20016998)
iedge= 13, ipnt= 7 (Z): anal= 0.12579022, fd= 0.13134161, err= -0.00555139 (at 0.82995572 0.42799900 0.20016998)
iedge= 13, ipnt= 8 (X): anal= -0.02541405, fd= -0.02335633, err= -0.00205773 (at 0.81211341 0.42799900 0.19600691)
iedge= 13, ipnt= 8 (Z): anal= 0.08204714, fd= 0.07540394, err= 0.00664320 (at 0.81211341 0.42799900 0.19600691)
iedge= 13, ipnt= 9 (X): anal= -0.02437930, fd= -0.02061858, err= -0.00376072 (at 0.80384151 0.42799900 0.19251514)
iedge= 13, ipnt= 9 (Z): anal= 0.04184620, fd= 0.03539106, err= 0.00645514 (at 0.80384151 0.42799900 0.19251514)
iedge= 13, ipnt= 10 (X): anal= -0.01549452, fd= -0.01338973, err= -0.00210479 (at 0.80025235 0.42799900 0.18999354)
iedge= 13, ipnt= 10 (Z): anal= 0.01823633, fd= 0.01575909, err= 0.00247723 (at 0.80025235 0.42799900 0.18999354)
iedge= 20, ipnt= 1 (X): anal= -0.01597498, fd= -0.01380493, err= -0.00217005 (at 0.80016571 0.42799900 0.18349217)
iedge= 20, ipnt= 1 (Z): anal= -0.01781695, fd= -0.01539669, err= -0.00242027 (at 0.80016571 0.42799900 0.18349217)
iedge= 20, ipnt= 2 (X): anal= -0.02548576, fd= -0.02155436, err= -0.00393140 (at 0.80368640 0.42799900 0.18087581)
iedge= 20, ipnt= 2 (Z): anal= -0.04118168, fd= -0.03482904, err= -0.00635263 (at 0.80368640 0.42799900 0.18087581)
iedge= 20, ipnt= 3 (X): anal= -0.02759142, fd= -0.02535740, err= -0.00223402 (at 0.81186232 0.42799900 0.17716485)
iedge= 20, ipnt= 3 (Z): anal= -0.08134077, fd= -0.07475477, err= -0.00658600 (at 0.81186232 0.42799900 0.17716485)
iedge= 20, ipnt= 4 (X): anal= -0.02824088, fd= -0.02948721, err= 0.00124633 (at 0.82958735 0.42799900 0.17252781)
iedge= 20, ipnt= 4 (Z): anal= -0.12508207, fd= -0.13060221, err= 0.00552013 (at 0.82958735 0.42799900 0.17252781)
iedge= 20, ipnt= 5 (Z): anal= -0.18259353, fd= -0.18185099, err= -0.00074254 (at 0.86519856 0.42799900 0.16636476)
iedge= 20, ipnt= 6 (Z): anal= -0.21901759, fd= -0.21886149, err= -0.00015610 (at 0.90126729 0.42799900 0.16215114)
iedge= 26, ipnt= 5 (Z): anal= -0.21952499, fd= -0.21936853, err= -0.00015647 (at 1.26399665 0.42799900 0.15731727)
iedge= 26, ipnt= 6 (Z): anal= -0.18317476, fd= -0.18242985, err= -0.00074490 (at 1.30016485 0.42799900 0.16056824)
iedge= 26, ipnt= 7 (X): anal= 0.02489766, fd= 0.02599645, err= -0.00109879 (at 1.33592766 0.42799900 0.16578013)
iedge= 26, ipnt= 7 (Z): anal= -0.12579022, fd= -0.13134161, err= 0.00555139 (at 1.33592766 0.42799900 0.16578013)
iedge= 26, ipnt= 8 (X): anal= 0.02541405, fd= 0.02335633, err= 0.00205773 (at 1.35376996 0.42799900 0.16994319)
iedge= 26, ipnt= 8 (Z): anal= -0.08204714, fd= -0.07540394, err= -0.00664320 (at 1.35376996 0.42799900 0.16994319)
iedge= 26, ipnt= 9 (X): anal= 0.02437930, fd= 0.02061858, err= 0.00376072 (at 1.36204186 0.42799900 0.17343496)
iedge= 26, ipnt= 9 (Z): anal= -0.04184620, fd= -0.03539106, err= -0.00645514 (at 1.36204186 0.42799900 0.17343496)
iedge= 26, ipnt= 10 (X): anal= 0.01549452, fd= 0.01338973, err= 0.00210479 (at 1.36563103 0.42799900 0.17595656)
iedge= 26, ipnt= 10 (Z): anal= -0.01823633, fd= -0.01575909, err= -0.00247723 (at 1.36563103 0.42799900 0.17595656)
d(Edge)/d(thick) check complete with 40 total errors (errmax= 6.6432e-03)
d(Node)/d(thick) check complete with 0 total errors (errmax= 2.2407e-10)
*********************************************************
Starting configuration sensitivity wrt "thick[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "thick[3,1]" for ibody=26
iface= 2, ipnt= 67 (Z): anal= 0.09500604, fd= 0.09531917, err= -0.00031313 (at 1.43776947 0.67171345 0.21750466)
iface= 2, ipnt= 68 (X): anal= 0.01042781, fd= 0.01087132, err= -0.00044352 (at 1.52091308 0.69701463 0.21134433)
iface= 2, ipnt= 68 (Y): anal= -0.01054924, fd= -0.01099792, err= 0.00044868 (at 1.52091308 0.69701463 0.21134433)
iface= 2, ipnt= 68 (Z): anal= 0.05029367, fd= 0.05243276, err= -0.00213909 (at 1.52091308 0.69701463 0.21134433)
iface= 2, ipnt= 69 (Z): anal= 0.06164950, fd= 0.06177592, err= -0.00012642 (at 1.44175749 0.62691567 0.21160807)
iface= 2, ipnt= 70 (X): anal= 0.00865082, fd= 0.00904237, err= -0.00039155 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 70 (Y): anal= -0.00908436, fd= -0.00949553, err= 0.00041117 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 70 (Z): anal= 0.04749083, fd= 0.04964033, err= -0.00214949 (at 1.46679728 0.63133121 0.20871246)
iface= 2, ipnt= 71 (X): anal= 0.00563380, fd= 0.00491198, err= 0.00072182 (at 1.51255296 0.65723670 0.20181965)
iface= 2, ipnt= 71 (Y): anal= -0.00419808, fd= -0.00366021, err= -0.00053787 (at 1.51255296 0.65723670 0.20181965)
...too many errors to list
iface= 3, ipnt= 65 (Z): anal= 0.09153333, fd= 0.09131620, err= 0.00021713 (at 1.63408749 0.93527045 0.24210067)
iface= 3, ipnt= 66 (X): anal= 0.00787748, fd= 0.00762545, err= 0.00025204 (at 1.66941766 0.91755793 0.23499532)
iface= 3, ipnt= 66 (Y): anal= -0.01174919, fd= -0.01137328, err= -0.00037591 (at 1.66941766 0.91755793 0.23499532)
iface= 3, ipnt= 66 (Z): anal= 0.04424545, fd= 0.04282984, err= 0.00141561 (at 1.66941766 0.91755793 0.23499532)
iface= 3, ipnt= 67 (Z): anal= 0.07455614, fd= 0.07432222, err= 0.00023392 (at 1.65979543 0.94861707 0.24308274)
iface= 3, ipnt= 68 (X): anal= 0.00737915, fd= 0.00764555, err= -0.00026640 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 68 (Y): anal= -0.01161780, fd= -0.01203722, err= 0.00041942 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 68 (Z): anal= 0.04563399, fd= 0.04728145, err= -0.00164746 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 69 (X): anal= 0.00417299, fd= 0.00355876, err= 0.00061423 (at 1.70767886 0.96082654 0.23780349)
iface= 3, ipnt= 69 (Y): anal= -0.00349502, fd= -0.00298058, err= -0.00051444 (at 1.70767886 0.96082654 0.23780349)
...too many errors to list
iface= 5, ipnt= 99 (Z): anal= 0.03100687, fd= 0.03087288, err= 0.00013399 (at 1.01020881 0.49957300 0.21256632)
iface= 5, ipnt= 100 (Z): anal= 0.04520166, fd= 0.04502339, err= 0.00017827 (at 1.04323794 0.53237775 0.21337501)
iface= 5, ipnt= 101 (Z): anal= 0.06324831, fd= 0.06303106, err= 0.00021725 (at 1.08527502 0.57412925 0.21440428)
iface= 5, ipnt= 102 (Z): anal= 0.07097474, fd= 0.07074722, err= 0.00022752 (at 1.10329090 0.59202275 0.21484539)
iface= 5, ipnt= 103 (Z): anal= 0.08512539, fd= 0.08488990, err= 0.00023549 (at 1.13632002 0.62482750 0.21565411)
iface= 5, ipnt= 104 (Z): anal= 0.09925418, fd= 0.09902591, err= 0.00022828 (at 1.16934914 0.65763225 0.21646283)
iface= 5, ipnt= 105 (Z): anal= 0.11335666, fd= 0.11315230, err= 0.00020437 (at 1.20237827 0.69043700 0.21727153)
iface= 5, ipnt= 106 (Z): anal= 0.12359340, fd= 0.12341790, err= 0.00017550 (at 1.22639946 0.71429500 0.21785968)
iface= 5, ipnt= 107 (Z): anal= 0.13891138, fd= 0.13879919, err= 0.00011219 (at 1.26243125 0.75008200 0.21874188)
iface= 5, ipnt= 108 (Z): anal= 0.02024809, fd= 0.02013821, err= 0.00010988 (at 0.94353752 0.48466175 0.20853504)
...too many errors to list
iface= 6, ipnt= 97 (Z): anal= 0.14271930, fd= 0.14282752, err= -0.00010822 (at 1.36894205 0.85581639 0.22623130)
iface= 6, ipnt= 98 (Z): anal= 0.12855775, fd= 0.12869394, err= -0.00013619 (at 1.39900295 0.88563894 0.23012607)
iface= 6, ipnt= 99 (Z): anal= 0.11697156, fd= 0.11712628, err= -0.00015472 (at 1.42359822 0.91003920 0.23331271)
iface= 6, ipnt= 100 (Z): anal= 0.10667335, fd= 0.10684097, err= -0.00016762 (at 1.44546067 0.93172833 0.23614528)
iface= 6, ipnt= 101 (Z): anal= 0.09637599, fd= 0.09655286, err= -0.00017688 (at 1.46732313 0.95341745 0.23897786)
iface= 6, ipnt= 102 (Z): anal= 0.08221911, fd= 0.08240217, err= -0.00018307 (at 1.49738400 0.98324000 0.24287266)
iface= 6, ipnt= 103 (X): anal= -0.01453755, fd= -0.01221979, err= -0.00231776 (at 1.23562805 0.81243814 0.20580072)
iface= 6, ipnt= 103 (Y): anal= 0.01267447, fd= 0.01065374, err= 0.00202073 (at 1.23562805 0.81243814 0.20580072)
iface= 6, ipnt= 103 (Z): anal= 0.02499702, fd= 0.02101167, err= 0.00398535 (at 1.23562805 0.81243814 0.20580072)
iface= 6, ipnt= 104 (Z): anal= 0.11178052, fd= 0.11132255, err= 0.00045797 (at 1.30881691 0.84226069 0.21930068)
...too many errors to list
iface= 8, ipnt= 99 (Z): anal= -0.03148152, fd= -0.03167801, err= 0.00019648 (at 1.01283391 0.50255525 0.16474104)
iface= 8, ipnt= 100 (Z): anal= -0.04539789, fd= -0.04566061, err= 0.00026272 (at 1.04600057 0.53536000 0.16725979)
iface= 8, ipnt= 101 (Z): anal= -0.06189961, fd= -0.06222193, err= 0.00032232 (at 1.08519752 0.57412925 0.17023647)
iface= 8, ipnt= 102 (Z): anal= -0.06953689, fd= -0.06987919, err= 0.00034230 (at 1.10328841 0.59202275 0.17161033)
iface= 8, ipnt= 103 (Z): anal= -0.08357475, fd= -0.08394003, err= 0.00036528 (at 1.13645505 0.62482750 0.17412906)
iface= 8, ipnt= 104 (Z): anal= -0.09766124, fd= -0.09803007, err= 0.00036883 (at 1.16962169 0.65763225 0.17664778)
iface= 8, ipnt= 105 (Z): anal= -0.11179834, fd= -0.11214896, err= 0.00035062 (at 1.20278834 0.69043700 0.17916652)
iface= 8, ipnt= 106 (Z): anal= -0.12340387, fd= -0.12372156, err= 0.00031768 (at 1.22992469 0.71727725 0.18122731)
iface= 8, ipnt= 107 (Z): anal= -0.13763692, fd= -0.13788970, err= 0.00025278 (at 1.26309136 0.75008200 0.18374606)
iface= 8, ipnt= 108 (Z): anal= -0.01949886, fd= -0.01972952, err= 0.00023066 (at 0.94316173 0.48466175 0.16795356)
...too many errors to list
iface= 9, ipnt= 100 (Z): anal= -0.09985492, fd= -0.09975134, err= -0.00010358 (at 1.45465940 0.93986175 0.21069587)
iface= 9, ipnt= 101 (Z): anal= -0.08746633, fd= -0.08734371, err= -0.00012262 (at 1.48200624 0.96697316 0.21535630)
iface= 9, ipnt= 102 (Z): anal= -0.07505660, fd= -0.07492139, err= -0.00013520 (at 1.50935308 0.99408456 0.22001672)
iface= 9, ipnt= 104 (X): anal= -0.01096174, fd= -0.00919394, err= -0.00176779 (at 1.23888377 0.81514928 0.19880785)
iface= 9, ipnt= 104 (Y): anal= 0.01560672, fd= 0.01308984, err= 0.00251688 (at 1.23888377 0.81514928 0.19880785)
iface= 9, ipnt= 104 (Z): anal= -0.02161843, fd= -0.01813204, err= -0.00348639 (at 1.23888377 0.81514928 0.19880785)
iface= 9, ipnt= 107 (Z): anal= -0.03767537, fd= -0.03755258, err= -0.00012280 (at 1.59139363 1.07541878 0.23399802)
iface= 9, ipnt= 108 (Z): anal= -0.05639709, fd= -0.05625745, err= -0.00013965 (at 1.55037335 1.03475167 0.22700736)
iface= 9, ipnt= 109 (Y): anal= 0.02772786, fd= 0.02759690, err= 0.00013096 (at 1.29210650 0.82599384 0.19353661)
iface= 9, ipnt= 109 (Z): anal= -0.11151159, fd= -0.11098490, err= -0.00052669 (at 1.29210650 0.82599384 0.19353661)
...too many errors to list
iface= 11, ipnt= 67 (Z): anal= -0.09605687, fd= -0.09567280, err= -0.00038406 (at 1.43807278 0.67171237 0.18180620)
iface= 11, ipnt= 68 (X): anal= 0.01223312, fd= 0.01258181, err= -0.00034869 (at 1.52111922 0.69701357 0.19352820)
iface= 11, ipnt= 68 (Z): anal= -0.05232938, fd= -0.05382095, err= 0.00149157 (at 1.52111922 0.69701357 0.19352820)
iface= 11, ipnt= 69 (Z): anal= -0.06315671, fd= -0.06244142, err= -0.00071529 (at 1.44186445 0.62691324 0.18102497)
iface= 11, ipnt= 70 (X): anal= 0.00950563, fd= 0.00976648, err= -0.00026085 (at 1.46689074 0.63132788 0.18485582)
iface= 11, ipnt= 70 (Z): anal= -0.04947667, fd= -0.05083436, err= 0.00135770 (at 1.46689074 0.63132788 0.18485582)
iface= 11, ipnt= 71 (X): anal= 0.00648432, fd= 0.00544910, err= 0.00103522 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 71 (Y): anal= -0.00344733, fd= -0.00289696, err= -0.00055036 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 71 (Z): anal= -0.00784433, fd= -0.00659199, err= -0.00125234 (at 1.51259444 0.65723525 0.19655483)
iface= 11, ipnt= 72 (X): anal= 0.00639496, fd= 0.00542222, err= 0.00097274 (at 1.49232981 0.62659564 0.19328417)
...too many errors to list
iface= 12, ipnt= 65 (Z): anal= -0.09272330, fd= -0.09283351, err= 0.00011021 (at 1.63498460 0.93527179 0.21826237)
iface= 12, ipnt= 66 (X): anal= 0.01174195, fd= 0.01144405, err= 0.00029791 (at 1.66984014 0.91755950 0.22328128)
iface= 12, ipnt= 66 (Z): anal= -0.04639641, fd= -0.04521928, err= -0.00117713 (at 1.66984014 0.91755950 0.22328128)
iface= 12, ipnt= 67 (Z): anal= -0.07592791, fd= -0.07607649, err= 0.00014858 (at 1.66058710 0.94861829 0.22268332)
iface= 12, ipnt= 68 (X): anal= 0.01146203, fd= 0.01196846, err= -0.00050643 (at 1.68227945 0.94273366 0.22646588)
iface= 12, ipnt= 68 (Z): anal= -0.04759231, fd= -0.04969511, err= 0.00210280 (at 1.68227945 0.94273366 0.22646588)
iface= 12, ipnt= 69 (X): anal= 0.00517793, fd= 0.00450632, err= 0.00067161 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 69 (Y): anal= -0.00241935, fd= -0.00210554, err= -0.00031381 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 69 (Z): anal= -0.00559459, fd= -0.00486893, err= -0.00072565 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 70 (X): anal= 0.00527513, fd= 0.00458580, err= 0.00068933 (at 1.71270908 0.96867306 0.23603870)
...too many errors to list
d(Face)/d(thick) check complete with 1691 total errors (errmax= 5.7099e-03)
iedge= 7, ipnt= 1 (X): anal= 0.01051701, fd= 0.00908150, err= 0.00143551 (at 1.61045334 0.80972700 0.21456910)
iedge= 7, ipnt= 1 (Z): anal= 0.01397152, fd= 0.01206449, err= 0.00190703 (at 1.61045334 0.80972700 0.21456910)
iedge= 7, ipnt= 2 (X): anal= 0.01568227, fd= 0.01320570, err= 0.00247657 (at 1.60794535 0.80972700 0.21611975)
iedge= 7, ipnt= 2 (Z): anal= 0.03091527, fd= 0.02603307, err= 0.00488219 (at 1.60794535 0.80972700 0.21611975)
iedge= 7, ipnt= 3 (X): anal= 0.01462772, fd= 0.01335053, err= 0.00127720 (at 1.60225690 0.80972700 0.21815608)
iedge= 7, ipnt= 3 (Z): anal= 0.05781792, fd= 0.05276964, err= 0.00504828 (at 1.60225690 0.80972700 0.21815608)
iedge= 7, ipnt= 4 (X): anal= 0.01400884, fd= 0.01462999, err= -0.00062115 (at 1.59014917 0.80972700 0.22043661)
iedge= 7, ipnt= 4 (Z): anal= 0.08577688, fd= 0.08958019, err= -0.00380331 (at 1.59014917 0.80972700 0.22043661)
iedge= 7, ipnt= 5 (Z): anal= 0.12413999, fd= 0.12361341, err= 0.00052657 (at 1.56605043 0.80972700 0.22325845)
iedge= 15, ipnt= 3 (Z): anal= 0.12338047, fd= 0.12285712, err= 0.00052335 (at 1.27400452 0.80972700 0.21492232)
iedge= 15, ipnt= 4 (X): anal= -0.01887886, fd= -0.01971594, err= 0.00083708 (at 1.25010598 0.80972700 0.21073046)
iedge= 15, ipnt= 4 (Z): anal= 0.08483814, fd= 0.08859982, err= -0.00376169 (at 1.25010598 0.80972700 0.21073046)
iedge= 15, ipnt= 5 (X): anal= -0.01790191, fd= -0.01633884, err= -0.00156308 (at 1.23814804 0.80972700 0.20776300)
iedge= 15, ipnt= 5 (Z): anal= 0.05688939, fd= 0.05192219, err= 0.00496721 (at 1.23814804 0.80972700 0.20776300)
iedge= 15, ipnt= 6 (X): anal= -0.01742018, fd= -0.01466916, err= -0.00275103 (at 1.23258502 0.80972700 0.20540551)
iedge= 15, ipnt= 6 (Z): anal= 0.02997039, fd= 0.02523742, err= 0.00473298 (at 1.23258502 0.80972700 0.20540551)
iedge= 15, ipnt= 7 (X): anal= -0.01129684, fd= -0.00975488, err= -0.00154195 (at 1.23016955 0.80972700 0.20371432)
iedge= 15, ipnt= 7 (Z): anal= 0.01334887, fd= 0.01152683, err= 0.00182204 (at 1.23016955 0.80972700 0.20371432)
iedge= 22, ipnt= 1 (X): anal= -0.01051701, fd= -0.00908150, err= -0.00143551 (at 1.23028896 0.80972700 0.19953089)
iedge= 22, ipnt= 1 (Z): anal= -0.01397152, fd= -0.01206449, err= -0.00190703 (at 1.23028896 0.80972700 0.19953089)
iedge= 22, ipnt= 2 (X): anal= -0.01568227, fd= -0.01320570, err= -0.00247657 (at 1.23279696 0.80972700 0.19798024)
iedge= 22, ipnt= 2 (Z): anal= -0.03091527, fd= -0.02603307, err= -0.00488219 (at 1.23279696 0.80972700 0.19798024)
iedge= 22, ipnt= 3 (X): anal= -0.01462772, fd= -0.01335053, err= -0.00127720 (at 1.23848541 0.80972700 0.19594391)
iedge= 22, ipnt= 3 (Z): anal= -0.05781792, fd= -0.05276964, err= -0.00504828 (at 1.23848541 0.80972700 0.19594391)
iedge= 22, ipnt= 4 (X): anal= -0.01400884, fd= -0.01462999, err= 0.00062115 (at 1.25059314 0.80972700 0.19366338)
iedge= 22, ipnt= 4 (Z): anal= -0.08577688, fd= -0.08958019, err= 0.00380331 (at 1.25059314 0.80972700 0.19366338)
iedge= 22, ipnt= 5 (Z): anal= -0.12413999, fd= -0.12361341, err= -0.00052657 (at 1.27469188 0.80972700 0.19084155)
iedge= 27, ipnt= 3 (Z): anal= -0.12338047, fd= -0.12285712, err= -0.00052335 (at 1.56673779 0.80972700 0.19917767)
iedge= 27, ipnt= 4 (X): anal= 0.01887886, fd= 0.01971594, err= -0.00083708 (at 1.59063633 0.80972700 0.20336953)
iedge= 27, ipnt= 4 (Z): anal= -0.08483814, fd= -0.08859982, err= 0.00376168 (at 1.59063633 0.80972700 0.20336953)
iedge= 27, ipnt= 5 (X): anal= 0.01790191, fd= 0.01633884, err= 0.00156308 (at 1.60259426 0.80972700 0.20633699)
iedge= 27, ipnt= 5 (Z): anal= -0.05688939, fd= -0.05192219, err= -0.00496721 (at 1.60259426 0.80972700 0.20633699)
iedge= 27, ipnt= 6 (X): anal= 0.01742018, fd= 0.01466916, err= 0.00275103 (at 1.60815729 0.80972700 0.20869448)
iedge= 27, ipnt= 6 (Z): anal= -0.02997039, fd= -0.02523742, err= -0.00473298 (at 1.60815729 0.80972700 0.20869448)
iedge= 27, ipnt= 7 (X): anal= 0.01129684, fd= 0.00975488, err= 0.00154195 (at 1.61057276 0.80972700 0.21038567)
iedge= 27, ipnt= 7 (Z): anal= -0.01334887, fd= -0.01152683, err= -0.00182204 (at 1.61057276 0.80972700 0.21038567)
d(Edge)/d(thick) check complete with 36 total errors (errmax= 5.0483e-03)
d(Node)/d(thick) check complete with 0 total errors (errmax= 2.5761e-10)
*********************************************************
Starting configuration sensitivity wrt "thick[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "thick[4,1]" for ibody=26
iface= 3, ipnt= 65 (Z): anal= 0.02887927, fd= 0.02903065, err= -0.00015138 (at 1.63408749 0.93527045 0.24210067)
iface= 3, ipnt= 67 (Z): anal= 0.02767370, fd= 0.02785815, err= -0.00018445 (at 1.65979543 0.94861707 0.24308274)
iface= 3, ipnt= 68 (X): anal= 0.00256021, fd= 0.00267697, err= -0.00011676 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 68 (Y): anal= -0.00403081, fd= -0.00421464, err= 0.00018382 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 68 (Z): anal= 0.01583278, fd= 0.01655483, err= -0.00072205 (at 1.68178308 0.94273225 0.23943282)
iface= 3, ipnt= 69 (X): anal= 0.00165858, fd= 0.00152288, err= 0.00013570 (at 1.70767886 0.96082654 0.23780349)
iface= 3, ipnt= 69 (Y): anal= -0.00138912, fd= -0.00127546, err= -0.00011365 (at 1.70767886 0.96082654 0.23780349)
iface= 3, ipnt= 69 (Z): anal= 0.00210445, fd= 0.00193227, err= 0.00017218 (at 1.70767886 0.96082654 0.23780349)
iface= 3, ipnt= 70 (X): anal= 0.00188371, fd= 0.00170409, err= 0.00017962 (at 1.71258519 0.96867269 0.23911398)
iface= 3, ipnt= 70 (Y): anal= -0.00158948, fd= -0.00143792, err= -0.00015157 (at 1.71258519 0.96867269 0.23911398)
...too many errors to list
iface= 6, ipnt= 99 (Z): anal= 0.02660404, fd= 0.02649854, err= 0.00010550 (at 1.42359822 0.91003920 0.23331271)
iface= 6, ipnt= 100 (Z): anal= 0.03235338, fd= 0.03223345, err= 0.00011993 (at 1.44546067 0.93172833 0.23614528)
iface= 6, ipnt= 101 (Z): anal= 0.03810104, fd= 0.03797025, err= 0.00013080 (at 1.46732313 0.95341745 0.23897786)
iface= 6, ipnt= 102 (Z): anal= 0.04600052, fd= 0.04586121, err= 0.00013931 (at 1.49738400 0.98324000 0.24287266)
iface= 6, ipnt= 105 (Z): anal= 0.06536233, fd= 0.06524052, err= 0.00012180 (at 1.57116978 1.05644080 0.25243262)
iface= 6, ipnt= 106 (Z): anal= 0.05317713, fd= 0.05303735, err= 0.00013978 (at 1.52471206 1.01035141 0.24641339)
iface= 6, ipnt= 118 (Z): anal= 0.01158150, fd= 0.01145734, err= 0.00012416 (at 1.33637708 0.86801652 0.22276633)
iface= 6, ipnt= 119 (Z): anal= 0.01670132, fd= 0.01651980, err= 0.00018152 (at 1.36393752 0.89377236 0.22623160)
iface= 6, ipnt= 120 (Z): anal= 0.05927254, fd= 0.05913854, err= 0.00013400 (at 1.54794092 1.03339610 0.24942301)
iface= 6, ipnt= 125 (Z): anal= 0.02235785, fd= 0.02211493, err= 0.00024292 (at 1.39439928 0.92223934 0.23006128)
...too many errors to list
iface= 9, ipnt= 98 (Z): anal= -0.02012540, fd= -0.02022572, err= 0.00010031 (at 1.40270038 0.88835008 0.20184104)
iface= 9, ipnt= 99 (Z): anal= -0.02639506, fd= -0.02651974, err= 0.00012468 (at 1.42731255 0.91275034 0.20603543)
iface= 9, ipnt= 100 (Z): anal= -0.03337679, fd= -0.03352390, err= 0.00014711 (at 1.45465940 0.93986175 0.21069587)
iface= 9, ipnt= 101 (Z): anal= -0.04037641, fd= -0.04054036, err= 0.00016395 (at 1.48200624 0.96697316 0.21535630)
iface= 9, ipnt= 102 (Z): anal= -0.04739582, fd= -0.04757018, err= 0.00017436 (at 1.50935308 0.99408456 0.22001672)
iface= 9, ipnt= 103 (Z): anal= -0.07124804, fd= -0.07140079, err= 0.00015275 (at 1.63121654 1.13325645 0.24409686)
iface= 9, ipnt= 105 (X): anal= -0.00181170, fd= -0.00162729, err= -0.00018441 (at 1.61753458 1.15404186 0.25230609)
iface= 9, ipnt= 105 (Y): anal= 0.00236326, fd= 0.00212271, err= 0.00024055 (at 1.61753458 1.15404186 0.25230609)
iface= 9, ipnt= 105 (Z): anal= -0.00213716, fd= -0.00191962, err= -0.00021754 (at 1.61753458 1.15404186 0.25230609)
iface= 9, ipnt= 107 (Z): anal= -0.06859507, fd= -0.06875120, err= 0.00015613 (at 1.59139363 1.07541878 0.23399802)
...too many errors to list
iface= 12, ipnt= 65 (Z): anal= -0.02942967, fd= -0.02925562, err= -0.00017404 (at 1.63498460 0.93527179 0.21826237)
iface= 12, ipnt= 66 (Z): anal= -0.01163004, fd= -0.01130699, err= -0.00032305 (at 1.66984014 0.91755950 0.22328128)
iface= 12, ipnt= 67 (Z): anal= -0.02839620, fd= -0.02819917, err= -0.00019703 (at 1.66058710 0.94861829 0.22268332)
iface= 12, ipnt= 68 (Z): anal= -0.01675931, fd= -0.01713293, err= 0.00037361 (at 1.68227945 0.94273366 0.22646588)
iface= 12, ipnt= 69 (X): anal= 0.00219206, fd= 0.00192364, err= 0.00026842 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 69 (Y): anal= -0.00102422, fd= -0.00089880, err= -0.00012542 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 69 (Z): anal= -0.00236845, fd= -0.00207843, err= -0.00029002 (at 1.70779407 0.96082688 0.23488114)
iface= 12, ipnt= 70 (X): anal= 0.00249336, fd= 0.00215951, err= 0.00033386 (at 1.71270908 0.96867306 0.23603870)
iface= 12, ipnt= 70 (Y): anal= -0.00115257, fd= -0.00099824, err= -0.00015433 (at 1.71270908 0.96867306 0.23603870)
iface= 12, ipnt= 70 (Z): anal= -0.00277063, fd= -0.00239965, err= -0.00037098 (at 1.71270908 0.96867306 0.23603870)
...too many errors to list
d(Face)/d(thick) check complete with 659 total errors (errmax= 3.1592e-03)
iedge= 10, ipnt= 1 (X): anal= 0.00559296, fd= 0.00483031, err= 0.00076265 (at 1.83305545 1.15675300 0.26841950)
iedge= 10, ipnt= 1 (Z): anal= 0.00813506, fd= 0.00702577, err= 0.00110930 (at 1.83305545 1.15675300 0.26841950)
iedge= 10, ipnt= 2 (X): anal= 0.00807721, fd= 0.00679988, err= 0.00127733 (at 1.83161940 1.15675300 0.26922450)
iedge= 10, ipnt= 2 (Z): anal= 0.01776401, fd= 0.01495480, err= 0.00280921 (at 1.83161940 1.15675300 0.26922450)
iedge= 10, ipnt= 3 (X): anal= 0.00683813, fd= 0.00623645, err= 0.00060168 (at 1.82839793 1.15675300 0.27022622)
iedge= 10, ipnt= 3 (Z): anal= 0.03272896, fd= 0.02984919, err= 0.00287977 (at 1.82839793 1.15675300 0.27022622)
iedge= 10, ipnt= 4 (X): anal= 0.00593728, fd= 0.00620037, err= -0.00026310 (at 1.82159212 1.15675300 0.27122419)
iedge= 10, ipnt= 4 (Z): anal= 0.04820702, fd= 0.05034319, err= -0.00213618 (at 1.82159212 1.15675300 0.27122419)
iedge= 10, ipnt= 5 (Z): anal= 0.06951466, fd= 0.06921870, err= 0.00029595 (at 1.80808940 1.15675300 0.27227860)
iedge= 17, ipnt= 4 (Z): anal= 0.06855582, fd= 0.06826395, err= 0.00029187 (at 1.64534540 1.15675300 0.26161179)
iedge= 17, ipnt= 5 (X): anal= -0.01217876, fd= -0.01271843, err= 0.00053967 (at 1.63209582 1.15675300 0.25880395)
iedge= 17, ipnt= 5 (Z): anal= 0.04701963, fd= 0.04910319, err= -0.00208356 (at 1.63209582 1.15675300 0.25880395)
iedge= 17, ipnt= 6 (X): anal= -0.01105161, fd= -0.01007920, err= -0.00097241 (at 1.62547850 1.15675300 0.25692618)
iedge= 17, ipnt= 6 (Z): anal= 0.03155640, fd= 0.02877980, err= 0.00277660 (at 1.62547850 1.15675300 0.25692618)
iedge= 17, ipnt= 7 (X): anal= -0.01032677, fd= -0.00869369, err= -0.00163308 (at 1.62241534 1.15675300 0.25551254)
iedge= 17, ipnt= 7 (Z): anal= 0.01655775, fd= 0.01393930, err= 0.00261845 (at 1.62241534 1.15675300 0.25551254)
iedge= 17, ipnt= 8 (X): anal= -0.00660695, fd= -0.00570603, err= -0.00090092 (at 1.62109665 1.15675300 0.25452699)
iedge= 17, ipnt= 8 (Z): anal= 0.00733544, fd= 0.00633518, err= 0.00100026 (at 1.62109665 1.15675300 0.25452699)
iedge= 24, ipnt= 1 (X): anal= -0.00559296, fd= -0.00483031, err= -0.00076265 (at 1.62124850 1.15675300 0.25221020)
iedge= 24, ipnt= 1 (Z): anal= -0.00813506, fd= -0.00702577, err= -0.00110930 (at 1.62124850 1.15675300 0.25221020)
iedge= 24, ipnt= 2 (X): anal= -0.00807721, fd= -0.00679988, err= -0.00127733 (at 1.62268455 1.15675300 0.25140520)
iedge= 24, ipnt= 2 (Z): anal= -0.01776401, fd= -0.01495480, err= -0.00280921 (at 1.62268455 1.15675300 0.25140520)
iedge= 24, ipnt= 3 (X): anal= -0.00683813, fd= -0.00623645, err= -0.00060168 (at 1.62590602 1.15675300 0.25040348)
iedge= 24, ipnt= 3 (Z): anal= -0.03272896, fd= -0.02984919, err= -0.00287977 (at 1.62590602 1.15675300 0.25040348)
iedge= 24, ipnt= 4 (X): anal= -0.00593728, fd= -0.00620037, err= 0.00026310 (at 1.63271183 1.15675300 0.24940551)
iedge= 24, ipnt= 4 (Z): anal= -0.04820702, fd= -0.05034319, err= 0.00213618 (at 1.63271183 1.15675300 0.24940551)
iedge= 24, ipnt= 5 (Z): anal= -0.06951466, fd= -0.06921870, err= -0.00029595 (at 1.64621455 1.15675300 0.24835111)
iedge= 28, ipnt= 4 (Z): anal= -0.06855582, fd= -0.06826395, err= -0.00029187 (at 1.80895855 1.15675300 0.25901791)
iedge= 28, ipnt= 5 (X): anal= 0.01217876, fd= 0.01271843, err= -0.00053967 (at 1.82220813 1.15675300 0.26182576)
iedge= 28, ipnt= 5 (Z): anal= -0.04701963, fd= -0.04910319, err= 0.00208356 (at 1.82220813 1.15675300 0.26182576)
iedge= 28, ipnt= 6 (X): anal= 0.01105161, fd= 0.01007920, err= 0.00097241 (at 1.82882545 1.15675300 0.26370352)
iedge= 28, ipnt= 6 (Z): anal= -0.03155640, fd= -0.02877980, err= -0.00277660 (at 1.82882545 1.15675300 0.26370352)
iedge= 28, ipnt= 7 (X): anal= 0.01032677, fd= 0.00869369, err= 0.00163308 (at 1.83188861 1.15675300 0.26511716)
iedge= 28, ipnt= 7 (Z): anal= -0.01655775, fd= -0.01393930, err= -0.00261845 (at 1.83188861 1.15675300 0.26511716)
iedge= 28, ipnt= 8 (X): anal= 0.00660695, fd= 0.00570603, err= 0.00090092 (at 1.83320730 1.15675300 0.26610271)
iedge= 28, ipnt= 8 (Z): anal= -0.00733544, fd= -0.00633518, err= -0.00100026 (at 1.83320730 1.15675300 0.26610271)
d(Edge)/d(thick) check complete with 36 total errors (errmax= 2.8798e-03)
d(Node)/d(thick) check complete with 0 total errors (errmax= 2.6764e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.669 sec
Sensitivity checks complete with 8470 total errors (max config err= 7.7165e-03) with 0 suppressions
real 0m10.291s
user 0m10.500s
sys 0m0.016s
++++ set +x
data/basic/design0w -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 32 / 180 )
data/basic/design1a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design1a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "L1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "L1" for ibody=5
d(Face)/d(L1) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(L1) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(L1) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "H1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "H1" for ibody=5
d(Face)/d(H1) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(H1) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(H1) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "D1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "D1" for ibody=5
d(Face)/d(D1) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(D1) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(D1) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "L2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "L2" for ibody=5
d(Face)/d(L2) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(L2) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(L2) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "H2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "H2" for ibody=5
d(Face)/d(H2) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(H2) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(H2) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "D2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "D2" for ibody=5
d(Face)/d(D2) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(D2) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(D2) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "dx" for ibody=5
d(Face)/d(dx) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(dx) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "dy" for ibody=5
d(Face)/d(dy) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(dy) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(dy) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "dz" for ibody=5
d(Face)/d(dz) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(dz) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "sfac"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "sfac" for ibody=5
d(Face)/d(sfac) check complete with 0 total errors (errmax= 4.1933e-10)
d(Edge)/d(sfac) check complete with 0 total errors (errmax= 4.1933e-10)
d(Node)/d(sfac) check complete with 0 total errors (errmax= 4.1933e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.047 sec
Sensitivity checks complete with 0 total errors (max config err= 4.1933e-10) with 0 suppressions
real 0m0.927s
user 0m0.884s
sys 0m0.504s
++++ set +x
data/basic/design1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 33 / 180 )
data/basic/design1b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "Length"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Length" for ibody=13
d(Face)/d(Length) check complete with 0 total errors (errmax= 1.6866e-09)
d(Edge)/d(Length) check complete with 0 total errors (errmax= 1.4050e-09)
d(Node)/d(Length) check complete with 0 total errors (errmax= 1.2929e-09)
*********************************************************
Starting configuration sensitivity wrt "Height"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Height" for ibody=13
d(Face)/d(Height) check complete with 0 total errors (errmax= 1.4157e-09)
d(Edge)/d(Height) check complete with 0 total errors (errmax= 1.2721e-09)
d(Node)/d(Height) check complete with 0 total errors (errmax= 9.4678e-10)
*********************************************************
Starting configuration sensitivity wrt "Depth"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Depth" for ibody=13
d(Face)/d(Depth) check complete with 0 total errors (errmax= 6.6613e-10)
d(Edge)/d(Depth) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Depth) check complete with 0 total errors (errmax= 3.9677e-10)
*********************************************************
Starting configuration sensitivity wrt "Rhole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Rhole" for ibody=13
d(Face)/d(Rhole) check complete with 0 total errors (errmax= 6.6613e-10)
d(Edge)/d(Rhole) check complete with 0 total errors (errmax= 7.4041e-10)
d(Node)/d(Rhole) check complete with 0 total errors (errmax= 7.4041e-10)
*********************************************************
Starting configuration sensitivity wrt "Xpole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Xpole" for ibody=13
d(Face)/d(Xpole) check complete with 0 total errors (errmax= 6.6613e-10)
d(Edge)/d(Xpole) check complete with 0 total errors (errmax= 5.9185e-10)
d(Node)/d(Xpole) check complete with 0 total errors (errmax= 7.4041e-10)
*********************************************************
Starting configuration sensitivity wrt "Ypole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Ypole" for ibody=13
d(Face)/d(Ypole) check complete with 0 total errors (errmax= 6.6613e-10)
d(Edge)/d(Ypole) check complete with 0 total errors (errmax= 3.2688e-10)
d(Node)/d(Ypole) check complete with 0 total errors (errmax= 3.2688e-10)
*********************************************************
Starting configuration sensitivity wrt "Rpole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Rpole" for ibody=13
d(Face)/d(Rpole) check complete with 0 total errors (errmax= 6.6613e-10)
d(Edge)/d(Rpole) check complete with 0 total errors (errmax= 2.9012e-10)
d(Node)/d(Rpole) check complete with 0 total errors (errmax= 2.0967e-10)
*********************************************************
Starting configuration sensitivity wrt "XangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "XangDeg" for ibody=13
d(Face)/d(XangDeg) check complete with 0 total errors (errmax= 1.2203e-09)
d(Edge)/d(XangDeg) check complete with 0 total errors (errmax= 1.4837e-09)
d(Node)/d(XangDeg) check complete with 0 total errors (errmax= 1.2137e-09)
*********************************************************
Starting configuration sensitivity wrt "YangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "YangDeg" for ibody=13
d(Face)/d(YangDeg) check complete with 0 total errors (errmax= 1.5386e-09)
d(Edge)/d(YangDeg) check complete with 0 total errors (errmax= 2.2140e-09)
d(Node)/d(YangDeg) check complete with 0 total errors (errmax= 2.1144e-09)
*********************************************************
Starting configuration sensitivity wrt "ZangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "ZangDeg" for ibody=13
d(Face)/d(ZangDeg) check complete with 0 total errors (errmax= 2.5648e-09)
d(Edge)/d(ZangDeg) check complete with 0 total errors (errmax= 2.1524e-09)
d(Node)/d(ZangDeg) check complete with 0 total errors (errmax= 2.1524e-09)
*********************************************************
Starting configuration sensitivity wrt "Dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Dx" for ibody=13
d(Face)/d(Dx) check complete with 0 total errors (errmax= 1.2265e-09)
d(Edge)/d(Dx) check complete with 0 total errors (errmax= 1.1226e-09)
d(Node)/d(Dx) check complete with 0 total errors (errmax= 1.1226e-09)
*********************************************************
Starting configuration sensitivity wrt "Dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Dy" for ibody=13
d(Face)/d(Dy) check complete with 0 total errors (errmax= 5.6463e-10)
d(Edge)/d(Dy) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(Dy) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "Dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Dz" for ibody=13
d(Face)/d(Dz) check complete with 0 total errors (errmax= 6.6613e-10)
d(Edge)/d(Dz) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(Dz) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "Scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Scale" for ibody=13
d(Face)/d(Scale) check complete with 0 total errors (errmax= 1.0639e-09)
d(Edge)/d(Scale) check complete with 0 total errors (errmax= 1.1430e-09)
d(Node)/d(Scale) check complete with 0 total errors (errmax= 1.1430e-09)
*********************************************************
Starting configuration sensitivity wrt "Dist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Dist" for ibody=13
d(Face)/d(Dist) check complete with 0 total errors (errmax= 8.7580e-10)
d(Edge)/d(Dist) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(Dist) check complete with 0 total errors (errmax= 2.7956e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.079 sec
Sensitivity checks complete with 0 total errors (max config err= 2.5648e-09) with 0 suppressions
real 0m3.199s
user 0m2.820s
sys 0m1.264s
++++ set +x
data/basic/design1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 34 / 180 )
data/basic/design2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "Length"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Height"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Depth"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "BoxFil"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Wslot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Dslot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rhole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Nhole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Fhole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Xpole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ypole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rpole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Fpole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "XangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "YangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ZangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "array[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "array[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "array[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "array[2,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 38.154 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m36.841s
user 0m35.640s
sys 0m4.652s
++++ set +x
data/basic/design2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 35 / 180 )
data/basic/design3.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "Xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Xvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Yvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Zvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rcone"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rsphere"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rmajor"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Rminor"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 8.497 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m7.280s
user 0m8.616s
sys 0m1.248s
++++ set +x
data/basic/design3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 36 / 180 )
data/basic/design4.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "Length"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Length" for ibody=13
d(Face)/d(Length) check complete with 0 total errors (errmax= 1.2123e-09)
d(Edge)/d(Length) check complete with 0 total errors (errmax= 1.2123e-09)
d(Node)/d(Length) check complete with 0 total errors (errmax= 1.0359e-09)
*********************************************************
Starting configuration sensitivity wrt "Height"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Height" for ibody=13
d(Face)/d(Height) check complete with 0 total errors (errmax= 1.3778e-09)
d(Edge)/d(Height) check complete with 0 total errors (errmax= 1.1975e-09)
d(Node)/d(Height) check complete with 0 total errors (errmax= 9.4678e-10)
*********************************************************
Starting configuration sensitivity wrt "Depth"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Depth" for ibody=13
d(Face)/d(Depth) check complete with 0 total errors (errmax= 6.6613e-10)
d(Edge)/d(Depth) check complete with 0 total errors (errmax= 8.8818e-10)
d(Node)/d(Depth) check complete with 0 total errors (errmax= 2.0967e-10)
*********************************************************
Starting configuration sensitivity wrt "Rhole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Rhole" for ibody=13
d(Face)/d(Rhole) check complete with 0 total errors (errmax= 8.5041e-10)
d(Edge)/d(Rhole) check complete with 0 total errors (errmax= 7.4042e-10)
d(Node)/d(Rhole) check complete with 0 total errors (errmax= 7.4042e-10)
*********************************************************
Starting configuration sensitivity wrt "Xpole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Xpole" for ibody=13
d(Face)/d(Xpole) check complete with 0 total errors (errmax= 8.8235e-10)
d(Edge)/d(Xpole) check complete with 0 total errors (errmax= 9.1473e-10)
d(Node)/d(Xpole) check complete with 0 total errors (errmax= 7.4041e-10)
*********************************************************
Starting configuration sensitivity wrt "Ypole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Ypole" for ibody=13
d(Face)/d(Ypole) check complete with 0 total errors (errmax= 6.9685e-10)
d(Edge)/d(Ypole) check complete with 0 total errors (errmax= 6.7692e-10)
d(Node)/d(Ypole) check complete with 0 total errors (errmax= 3.2688e-10)
*********************************************************
Starting configuration sensitivity wrt "Rpole"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Rpole" for ibody=13
d(Face)/d(Rpole) check complete with 0 total errors (errmax= 8.1974e-10)
d(Edge)/d(Rpole) check complete with 0 total errors (errmax= 7.9523e-10)
d(Node)/d(Rpole) check complete with 0 total errors (errmax= 2.0967e-10)
*********************************************************
Starting configuration sensitivity wrt "XangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "XangDeg" for ibody=13
d(Face)/d(XangDeg) check complete with 0 total errors (errmax= 1.4844e-09)
d(Edge)/d(XangDeg) check complete with 0 total errors (errmax= 1.7788e-09)
d(Node)/d(XangDeg) check complete with 0 total errors (errmax= 1.2137e-09)
*********************************************************
Starting configuration sensitivity wrt "YangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "YangDeg" for ibody=13
d(Face)/d(YangDeg) check complete with 0 total errors (errmax= 1.6324e-09)
d(Edge)/d(YangDeg) check complete with 0 total errors (errmax= 2.2140e-09)
d(Node)/d(YangDeg) check complete with 0 total errors (errmax= 2.1144e-09)
*********************************************************
Starting configuration sensitivity wrt "ZangDeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "ZangDeg" for ibody=13
d(Face)/d(ZangDeg) check complete with 0 total errors (errmax= 2.4663e-09)
d(Edge)/d(ZangDeg) check complete with 0 total errors (errmax= 2.1524e-09)
d(Node)/d(ZangDeg) check complete with 0 total errors (errmax= 2.1524e-09)
*********************************************************
Starting configuration sensitivity wrt "Dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Dx" for ibody=13
d(Face)/d(Dx) check complete with 0 total errors (errmax= 1.2403e-09)
d(Edge)/d(Dx) check complete with 0 total errors (errmax= 1.2403e-09)
d(Node)/d(Dx) check complete with 0 total errors (errmax= 1.1226e-09)
*********************************************************
Starting configuration sensitivity wrt "Dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Dy" for ibody=13
d(Face)/d(Dy) check complete with 0 total errors (errmax= 8.4195e-10)
d(Edge)/d(Dy) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(Dy) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "Dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Dz" for ibody=13
d(Face)/d(Dz) check complete with 0 total errors (errmax= 6.6613e-10)
d(Edge)/d(Dz) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(Dz) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "Scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "Scale" for ibody=13
d(Face)/d(Scale) check complete with 0 total errors (errmax= 1.1893e-09)
d(Edge)/d(Scale) check complete with 0 total errors (errmax= 1.1712e-09)
d(Node)/d(Scale) check complete with 0 total errors (errmax= 1.0032e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.071 sec
Sensitivity checks complete with 0 total errors (max config err= 2.4663e-09) with 0 suppressions
real 0m2.937s
user 0m2.448s
sys 0m1.288s
++++ set +x
data/basic/design4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 37 / 180 )
data/basic/design5.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design5.csm
--> ocsmCheck() -> status=0 (success)
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "sweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "washout"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "xnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "xtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "fuserad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "spar1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "spar2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
udpExecute: removing _hist attribute from Face 1
udpExecute: removing __trace__ attribute from Face 1
udpExecute: removing _hist attribute from Face 2
udpExecute: removing __trace__ attribute from Face 2
udpExecute: removing _hist attribute from Face 3
udpExecute: removing __trace__ attribute from Face 3
udpExecute: removing _hist attribute from Face 4
udpExecute: removing __trace__ attribute from Face 4
udpExecute: removing _hist attribute from Face 5
udpExecute: removing __trace__ attribute from Face 5
udpExecute: removing _hist attribute from Face 6
udpExecute: removing __trace__ attribute from Face 6
udpExecute: removing _hist attribute from Face 7
udpExecute: removing __trace__ attribute from Face 7
udpExecute: removing _hist attribute from Face 8
udpExecute: removing __trace__ attribute from Face 8
udpExecute: removing __trace__ attribute from Edge 1
udpExecute: removing __trace__ attribute from Edge 2
udpExecute: removing __trace__ attribute from Edge 3
udpExecute: removing __trace__ attribute from Edge 4
udpExecute: removing __trace__ attribute from Edge 5
udpExecute: removing __trace__ attribute from Edge 6
udpExecute: removing __trace__ attribute from Edge 7
udpExecute: removing __trace__ attribute from Edge 8
udpExecute: removing __trace__ attribute from Edge 9
udpExecute: removing __trace__ attribute from Edge 10
udpExecute: removing __trace__ attribute from Edge 11
udpExecute: removing __trace__ attribute from Edge 12
udpExecute: removing __trace__ attribute from Edge 13
udpExecute: removing __trace__ attribute from Edge 14
udpExecute: removing __trace__ attribute from Edge 15
udpExecute: removing __trace__ attribute from Node 1
udpExecute: removing __trace__ attribute from Node 2
udpExecute: removing __trace__ attribute from Node 3
udpExecute: removing __trace__ attribute from Node 4
udpExecute: removing __trace__ attribute from Node 5
udpExecute: removing __trace__ attribute from Node 6
udpExecute: removing __trace__ attribute from Node 7
udpExecute: removing __trace__ attribute from Node 8
udpExecute: removing __trace__ attribute from Node 9
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1017.146 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 1m6.444s
user 2m18.876s
sys 16m7.524s
++++ set +x
data/basic/design5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 38 / 180 )
data/basic/design6.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design6.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "width"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "depth"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "height"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "neckDiam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "neckHeight"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "wall"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "filRad1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "filRad2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 9.284 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m10.307s
user 0m10.772s
sys 0m0.576s
++++ set +x
data/basic/design6 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 39 / 180 )
data/basic/design7.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design7.csm
--> ocsmCheck() -> status=0 (success)
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
*********************************************************
Starting configuration sensitivity wrt "headLen"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711916137 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "overallLen"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "shaftDiam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "headAng"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711916123 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "noseRad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711922765 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "shldrRad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711892457 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "finAng"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "finHeight"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "finLen"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "finWidth"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "filRad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "finXlate"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=48
WARNING:: jbody= 7, jnode= 1, ibody= 8, found= 1, dbest= 1.711914374 (revolve)
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 50.986 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m40.277s
user 0m53.056s
sys 0m3.792s
++++ set +x
data/basic/design7 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 40 / 180 )
data/basic/design8a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "xbase" for ibody=4
d(Face)/d(xbase) check complete with 0 total errors (errmax= 3.4518e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.6182e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 5.8387e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "ybase" for ibody=4
d(Face)/d(ybase) check complete with 0 total errors (errmax= 6.4400e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 4.5481e-10)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "zbase" for ibody=4
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.7038e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "L" for ibody=4
d(Face)/d(L) check complete with 0 total errors (errmax= 3.4518e-10)
d(Edge)/d(L) check complete with 0 total errors (errmax= 3.6182e-10)
d(Node)/d(L) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "H" for ibody=4
d(Face)/d(H) check complete with 0 total errors (errmax= 9.4979e-10)
d(Edge)/d(H) check complete with 0 total errors (errmax= 7.4018e-10)
d(Node)/d(H) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "W" for ibody=4
d(Face)/d(W) check complete with 0 total errors (errmax= 2.7038e-10)
d(Edge)/d(W) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(W) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "t" for ibody=4
d(Face)/d(t) check complete with 0 total errors (errmax= 1.9626e-08)
d(Edge)/d(t) check complete with 0 total errors (errmax= 1.9478e-08)
d(Node)/d(t) check complete with 0 total errors (errmax= 4.4409e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.023 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9626e-08) with 0 suppressions
real 0m0.510s
user 0m0.404s
sys 0m0.308s
++++ set +x
data/basic/design8a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 41 / 180 )
data/basic/design8b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "xbase" for ibody=4
d(Face)/d(xbase) check complete with 0 total errors (errmax= 3.4691e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 3.6182e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "ybase" for ibody=4
d(Face)/d(ybase) check complete with 0 total errors (errmax= 7.1283e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 5.5462e-10)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 1.1102e-09)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "zbase" for ibody=4
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.0728e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "L" for ibody=4
d(Face)/d(L) check complete with 0 total errors (errmax= 3.4691e-10)
d(Edge)/d(L) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(L) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "H" for ibody=4
d(Face)/d(H) check complete with 0 total errors (errmax= 9.5792e-08)
d(Edge)/d(H) check complete with 0 total errors (errmax= 9.5792e-08)
d(Node)/d(H) check complete with 0 total errors (errmax= 2.2204e-10)
*********************************************************
Starting configuration sensitivity wrt "W"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "W" for ibody=4
d(Face)/d(W) check complete with 0 total errors (errmax= 2.0728e-10)
d(Edge)/d(W) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(W) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "R" for ibody=4
d(Face)/d(R) check complete with 0 total errors (errmax= 9.6589e-08)
d(Edge)/d(R) check complete with 0 total errors (errmax= 9.6589e-08)
d(Node)/d(R) check complete with 0 total errors (errmax= 6.6613e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 9.6589e-08) with 0 suppressions
real 0m0.423s
user 0m0.320s
sys 0m0.300s
++++ set +x
data/basic/design8b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 42 / 180 )
data/basic/design8c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "xcent" for ibody=7
d(Face)/d(xcent) check complete with 0 total errors (errmax= 4.4871e-10)
d(Edge)/d(xcent) check complete with 0 total errors (errmax= 5.8214e-10)
d(Node)/d(xcent) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ycent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "ycent" for ibody=7
d(Face)/d(ycent) check complete with 0 total errors (errmax= 8.8464e-08)
iedge= 1, ipnt= 9 (Z): anal= -0.29297240, fd= -0.29286100, err= -0.00011140 (at 0.77019063 0.50009925 -1.41417847)
iedge= 1, ipnt= 10 (X): anal= -0.21330963, fd= -0.21349038, err= 0.00018075 (at 0.75242742 0.43328702 -1.43605793)
iedge= 1, ipnt= 10 (Y): anal= 0.13145538, fd= 0.13156964, err= -0.00011426 (at 0.75242742 0.43328702 -1.43605793)
iedge= 1, ipnt= 10 (Z): anal= -0.26205699, fd= -0.26228857, err= 0.00023157 (at 0.75242742 0.43328702 -1.43605793)
iedge= 6, ipnt= 22 (X): anal= 0.21330974, fd= 0.21349894, err= -0.00018920 (at 0.75242749 -0.43328730 1.43605785)
iedge= 6, ipnt= 22 (Y): anal= 0.13145554, fd= 0.13157515, err= -0.00011961 (at 0.75242749 -0.43328730 1.43605785)
iedge= 6, ipnt= 22 (Z): anal= -0.26205712, fd= -0.26229955, err= 0.00024243 (at 0.75242749 -0.43328730 1.43605785)
iedge= 6, ipnt= 23 (Z): anal= -0.29297223, fd= -0.29286221, err= -0.00011002 (at 0.77019051 -0.50009882 1.41417862)
d(Edge)/d(ycent) check complete with 8 total errors (errmax= 2.4243e-04)
d(Node)/d(ycent) check complete with 0 total errors (errmax= 2.2204e-10)
*********************************************************
Starting configuration sensitivity wrt "zcent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "zcent" for ibody=7
d(Face)/d(zcent) check complete with 0 total errors (errmax= 2.6197e-08)
iedge= 1, ipnt= 9 (Z): anal= 0.89639542, fd= 0.89650666, err= -0.00011124 (at 0.77019063 0.50009925 -1.41417847)
iedge= 1, ipnt= 10 (X): anal= -0.06435971, fd= -0.06454021, err= 0.00018050 (at 0.75242742 0.43328702 -1.43605793)
iedge= 1, ipnt= 10 (Y): anal= -0.26205699, fd= -0.26194289, err= -0.00011410 (at 0.75242742 0.43328702 -1.43605793)
iedge= 1, ipnt= 10 (Z): anal= 0.92093225, fd= 0.92070100, err= 0.00023126 (at 0.75242742 0.43328702 -1.43605793)
iedge= 6, ipnt= 9 (Z): anal= 0.89639545, fd= 0.89628469, err= 0.00011075 (at 0.77019061 0.50009917 1.41417849)
iedge= 6, ipnt= 10 (X): anal= 0.06435969, fd= 0.06418001, err= 0.00017967 (at 0.75242740 0.43328693 1.43605796)
iedge= 6, ipnt= 10 (Y): anal= 0.26205695, fd= 0.26217053, err= -0.00011358 (at 0.75242740 0.43328693 1.43605796)
iedge= 6, ipnt= 10 (Z): anal= 0.92093228, fd= 0.92116248, err= -0.00023020 (at 0.75242740 0.43328693 1.43605796)
iedge= 6, ipnt= 22 (X): anal= 0.06435979, fd= 0.06454899, err= -0.00018921 (at 0.75242749 -0.43328730 1.43605785)
iedge= 6, ipnt= 22 (Y): anal= -0.26205712, fd= -0.26193750, err= -0.00011962 (at 0.75242749 -0.43328730 1.43605785)
iedge= 6, ipnt= 22 (Z): anal= 0.92093216, fd= 0.92068972, err= 0.00024244 (at 0.75242749 -0.43328730 1.43605785)
iedge= 6, ipnt= 23 (Z): anal= 0.89639557, fd= 0.89650557, err= -0.00011000 (at 0.77019051 -0.50009882 1.41417862)
d(Edge)/d(zcent) check complete with 12 total errors (errmax= 2.4244e-04)
d(Node)/d(zcent) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "L" for ibody=7
d(Face)/d(L) check complete with 0 total errors (errmax= 7.8002e-10)
d(Edge)/d(L) check complete with 0 total errors (errmax= 1.0348e-06)
d(Node)/d(L) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "H" for ibody=7
d(Face)/d(H) check complete with 0 total errors (errmax= 1.0298e-07)
d(Edge)/d(H) check complete with 0 total errors (errmax= 7.9003e-07)
d(Node)/d(H) check complete with 0 total errors (errmax= 2.3380e-07)
*********************************************************
Starting configuration sensitivity wrt "W"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "W" for ibody=7
d(Face)/d(W) check complete with 0 total errors (errmax= 5.1350e-08)
iedge= 1, ipnt= 22 (X): anal= 0.03361270, fd= 0.03342325, err= 0.00018945 (at 0.75242745 -0.43328711 -1.43605790)
iedge= 1, ipnt= 22 (Y): anal= -0.13686271, fd= -0.13698248, err= 0.00011977 (at 0.75242745 -0.43328711 -1.43605790)
iedge= 1, ipnt= 22 (Z): anal= -0.48096888, fd= -0.48121162, err= 0.00024274 (at 0.75242745 -0.43328711 -1.43605790)
iedge= 1, ipnt= 23 (Z): anal= -0.47539734, fd= -0.47528714, err= -0.00011020 (at 0.77019046 -0.50009865 -1.41417868)
iedge= 6, ipnt= 22 (X): anal= 0.03361273, fd= 0.03380192, err= -0.00018919 (at 0.75242749 -0.43328730 1.43605785)
iedge= 6, ipnt= 22 (Y): anal= -0.13686276, fd= -0.13674314, err= -0.00011962 (at 0.75242749 -0.43328730 1.43605785)
iedge= 6, ipnt= 22 (Z): anal= 0.48096886, fd= 0.48072640, err= 0.00024246 (at 0.75242749 -0.43328730 1.43605785)
iedge= 6, ipnt= 23 (Z): anal= 0.47539732, fd= 0.47550727, err= -0.00010994 (at 0.77019051 -0.50009882 1.41417862)
d(Edge)/d(W) check complete with 8 total errors (errmax= 2.4274e-04)
d(Node)/d(W) check complete with 0 total errors (errmax= 1.0860e-07)
*********************************************************
Starting configuration sensitivity wrt "t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "t" for ibody=7
d(Face)/d(t) check complete with 0 total errors (errmax= 8.3044e-08)
iedge= 1, ipnt= 9 (Z): anal= 0.06684651, fd= 0.06695800, err= -0.00011149 (at 0.77019063 0.50009925 -1.41417847)
iedge= 1, ipnt= 10 (X): anal= -0.80524826, fd= -0.80542926, err= 0.00018100 (at 0.75242742 0.43328702 -1.43605793)
iedge= 1, ipnt= 10 (Y): anal= 0.18126315, fd= 0.18137752, err= -0.00011437 (at 0.75242742 0.43328702 -1.43605793)
iedge= 1, ipnt= 10 (Z): anal= 0.05469067, fd= 0.05445893, err= 0.00023174 (at 0.75242742 0.43328702 -1.43605793)
iedge= 1, ipnt= 22 (X): anal= -0.80524818, fd= -0.80543659, err= 0.00018841 (at 0.75242745 -0.43328711 -1.43605790)
iedge= 1, ipnt= 22 (Y): anal= -0.18126317, fd= -0.18138243, err= 0.00011926 (at 0.75242745 -0.43328711 -1.43605790)
iedge= 1, ipnt= 22 (Z): anal= 0.05469069, fd= 0.05444879, err= 0.00024190 (at 0.75242745 -0.43328711 -1.43605790)
iedge= 1, ipnt= 23 (Z): anal= 0.06684641, fd= 0.06695654, err= -0.00011013 (at 0.77019046 -0.50009865 -1.41417868)
d(Edge)/d(t) check complete with 8 total errors (errmax= 2.4190e-04)
d(Node)/d(t) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.064 sec
Sensitivity checks complete with 36 total errors (max config err= 2.4274e-04) with 0 suppressions
real 0m1.102s
user 0m1.100s
sys 0m0.672s
++++ set +x
data/basic/design8c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 43 / 180 )
data/basic/design8.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xcent" for ibody=1
d(Face)/d(xcent) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(xcent) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(xcent) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ycent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ycent" for ibody=1
d(Face)/d(ycent) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(ycent) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(ycent) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zcent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zcent" for ibody=1
d(Face)/d(zcent) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(zcent) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(zcent) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "L" for ibody=1
d(Face)/d(L) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(L) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(L) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "H" for ibody=1
d(Face)/d(H) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(H) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(H) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "W"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "W" for ibody=1
d(Face)/d(W) check complete with 0 total errors (errmax= 4.1133e-11)
d(Edge)/d(W) check complete with 0 total errors (errmax= 4.1133e-11)
d(Node)/d(W) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.093s
user 0m0.096s
sys 0m0.000s
++++ set +x
data/basic/design8 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 44 / 180 )
data/basic/design8d.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design8d.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "xbeg1" for ibody=4
d(Face)/d(xbeg1) check complete with 0 total errors (errmax= 4.1816e-10)
d(Edge)/d(xbeg1) check complete with 0 total errors (errmax= 1.1230e-09)
d(Node)/d(xbeg1) check complete with 0 total errors (errmax= 2.2204e-10)
*********************************************************
Starting configuration sensitivity wrt "xend1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "xend1" for ibody=4
d(Face)/d(xend1) check complete with 0 total errors (errmax= 4.1816e-10)
d(Edge)/d(xend1) check complete with 0 total errors (errmax= 1.1102e-10)
d(Node)/d(xend1) check complete with 0 total errors (errmax= 2.2204e-10)
*********************************************************
Starting configuration sensitivity wrt "y1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "y1" for ibody=4
d(Face)/d(y1) check complete with 0 total errors (errmax= 4.1816e-10)
d(Edge)/d(y1) check complete with 0 total errors (errmax= 1.6516e-09)
d(Node)/d(y1) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "z1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "z1" for ibody=4
d(Face)/d(z1) check complete with 0 total errors (errmax= 5.7572e-07)
d(Edge)/d(z1) check complete with 0 total errors (errmax= 2.0717e-06)
d(Node)/d(z1) check complete with 0 total errors (errmax= 1.0777e-06)
*********************************************************
Starting configuration sensitivity wrt "r1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "r1" for ibody=4
d(Face)/d(r1) check complete with 0 total errors (errmax= 5.7344e-07)
d(Edge)/d(r1) check complete with 0 total errors (errmax= 1.3670e-06)
d(Node)/d(r1) check complete with 0 total errors (errmax= 8.0887e-07)
*********************************************************
Starting configuration sensitivity wrt "th1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "th1" for ibody=4
d(Face)/d(th1) check complete with 0 total errors (errmax= 4.1816e-10)
d(Edge)/d(th1) check complete with 0 total errors (errmax= 1.4431e-08)
d(Node)/d(th1) check complete with 0 total errors (errmax= 4.4380e-10)
*********************************************************
Starting configuration sensitivity wrt "x2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "x2" for ibody=4
d(Face)/d(x2) check complete with 0 total errors (errmax= 5.5660e-10)
d(Edge)/d(x2) check complete with 0 total errors (errmax= 4.8568e-07)
d(Node)/d(x2) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "z2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "z2" for ibody=4
d(Face)/d(z2) check complete with 0 total errors (errmax= 5.7563e-07)
d(Edge)/d(z2) check complete with 0 total errors (errmax= 1.3602e-06)
d(Node)/d(z2) check complete with 0 total errors (errmax= 1.0779e-06)
*********************************************************
Starting configuration sensitivity wrt "r2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "r2" for ibody=4
d(Face)/d(r2) check complete with 0 total errors (errmax= 2.8023e-07)
d(Edge)/d(r2) check complete with 0 total errors (errmax= 9.3822e-07)
d(Node)/d(r2) check complete with 0 total errors (errmax= 4.3168e-07)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.011 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0717e-06) with 0 suppressions
real 0m1.010s
user 0m0.880s
sys 0m0.476s
++++ set +x
data/basic/design8d -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 45 / 180 )
data/basic/design9.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/design9.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "fuse[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[1,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.6019e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 9.1554e-08)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 1.1861e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[1,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 2.8271e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.9894e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 4.3589e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[1,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 6.4982e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.6796e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 1.6561e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[1,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 6.5262e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0001e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.2346e-06)
*********************************************************
Starting configuration sensitivity wrt "fuse[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[2,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.0383e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.9725e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 4.3864e-06)
*********************************************************
Starting configuration sensitivity wrt "fuse[2,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[2,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 4.5868e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.1533e-07)
inode= 15, ipnt= 0 (X): anal= 0.01989171, fd= 0.02004887, err= -0.00015716 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00012822, fd= 0.00000000, err= -0.00012822 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 1.5716e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[2,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[2,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.5361e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.1029e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 6.1782e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[2,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[2,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.5361e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.6270e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.4130e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[3,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.1386e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.1186e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 3.2806e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[3,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[3,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 5.9138e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.6514e-06)
inode= 15, ipnt= 0 (X): anal= -0.07359537, fd= -0.07417683, err= 0.00058146 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.02449788, fd= 0.02472561, err= -0.00022773 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00047438, fd= 0.00000000, err= 0.00047438 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 5.8146e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[3,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[3,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.0965e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.1413e-06)
inode= 15, ipnt= 0 (X): anal= -0.02867390, fd= -0.02890039, err= 0.00022649 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00018483, fd= 0.00000000, err= 0.00018483 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 2.2649e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[3,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[3,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.0958e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.6963e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 8.3181e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[4,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.5565e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 6.4197e-07)
inode= 15, ipnt= 0 (X): anal= -0.01429367, fd= -0.01440661, err= 0.00011294 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.1294e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[4,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[4,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.2439e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0085e-05)
inode= 7, ipnt= 0 (X): anal= 0.28343624, fd= 0.28361537, err= -0.00017913 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= -0.00016799, fd= 0.00000000, err= -0.00016799 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.28139238, fd= 0.28361537, err= -0.00222298 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.09366779, fd= -0.09453846, err= 0.00087067 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00181381, fd= 0.00000000, err= -0.00181381 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 2.2230e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[4,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[4,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.2650e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.3457e-06)
inode= 15, ipnt= 0 (X): anal= 0.10981406, fd= 0.11068139, err= -0.00086733 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.03655408, fd= -0.03689380, err= 0.00033971 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00070784, fd= 0.00000000, err= -0.00070784 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 8.6733e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[4,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[4,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.2640e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.2468e-06)
inode= 15, ipnt= 0 (X): anal= 0.04166881, fd= 0.04199824, err= -0.00032943 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.01387040, fd= -0.01399941, err= 0.00012901 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00026859, fd= 0.00000000, err= -0.00026859 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 3.2943e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[5,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.0881e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0359e-06)
inode= 15, ipnt= 0 (X): anal= 0.02896295, fd= 0.02919177, err= -0.00022882 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00018669, fd= 0.00000000, err= -0.00018669 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 2.2882e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[5,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[5,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.2670e-06)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.4641e-05)
inode= 7, ipnt= 0 (X): anal= -1.22831092, fd= -1.22909228, err= 0.00078136 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.40934265, fd= -0.40969743, err= 0.00035478 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00072802, fd= 0.00000000, err= 0.00072802 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -1.21945357, fd= -1.22909228, err= 0.00963871 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.40592257, fd= 0.40969743, err= -0.00377485 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00786041, fd= 0.00000000, err= 0.00786041 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 9.6387e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[5,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[5,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.3889e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.8623e-05)
inode= 7, ipnt= 0 (X): anal= -0.48110409, fd= -0.48140862, err= 0.00030453 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.16033109, fd= -0.16046954, err= 0.00013846 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00028515, fd= 0.00000000, err= 0.00028515 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -0.47763485, fd= -0.48140862, err= 0.00377377 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.15899151, fd= 0.16046954, err= -0.00147803 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00307876, fd= 0.00000000, err= 0.00307876 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 3.7738e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[5,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[5,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.3868e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 9.6260e-06)
inode= 7, ipnt= 0 (X): anal= -0.18515481, fd= -0.18527297, err= 0.00011817 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00010974, fd= 0.00000000, err= 0.00010974 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -0.18381965, fd= -0.18527297, err= 0.00145332 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.06118851, fd= 0.06175766, err= -0.00056915 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00118487, fd= 0.00000000, err= 0.00118487 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.4533e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[6,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[6,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 6.5933e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.5849e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.0424e-06)
*********************************************************
Starting configuration sensitivity wrt "fuse[6,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[6,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 2.3177e-06)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 6.8834e-05)
inode= 7, ipnt= 0 (X): anal= -1.92708919, fd= -1.92830212, err= 0.00121293 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.64221507, fd= -0.64276737, err= 0.00055230 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00114219, fd= 0.00000000, err= 0.00114219 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -1.91319295, fd= -1.92830212, err= 0.01510917 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.63684934, fd= 0.64276737, err= -0.00591803 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.01233215, fd= 0.00000000, err= 0.01233215 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 1.5109e-02)
*********************************************************
Starting configuration sensitivity wrt "fuse[6,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[6,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.2901e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.6136e-05)
inode= 7, ipnt= 0 (X): anal= -0.75577143, fd= -0.75624828, err= 0.00047685 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.25186577, fd= -0.25208276, err= 0.00021699 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00044795, fd= 0.00000000, err= 0.00044795 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -0.75032156, fd= -0.75624828, err= 0.00592672 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.24976142, fd= 0.25208276, err= -0.00232134 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00483646, fd= 0.00000000, err= 0.00483646 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 5.9267e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[6,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[6,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.2863e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.7414e-05)
inode= 7, ipnt= 0 (X): anal= -0.28872885, fd= -0.28891281, err= 0.00018396 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00017113, fd= 0.00000000, err= 0.00017113 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -0.28664683, fd= -0.28891281, err= 0.00226598 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.09541685, fd= 0.09630427, err= -0.00088742 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00184768, fd= 0.00000000, err= 0.00184768 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 2.2660e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[7,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[7,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 6.9667e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.0103e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 9.3238e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[7,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[7,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 4.6405e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.3075e-05)
inode= 7, ipnt= 0 (X): anal= 0.36096800, fd= 0.36119637, err= -0.00022838 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= 0.12029494, fd= 0.12039879, err= -0.00010385 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= -0.00021395, fd= 0.00000000, err= -0.00021395 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.35836505, fd= 0.36119637, err= -0.00283132 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.11928988, fd= -0.12039879, err= 0.00110892 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00230997, fd= 0.00000000, err= -0.00230997 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 2.8313e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[7,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[7,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.4614e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 8.4434e-06)
inode= 15, ipnt= 0 (X): anal= 0.14075176, fd= 0.14186346, err= -0.00111170 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.04685239, fd= -0.04728782, err= 0.00043543 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00090726, fd= 0.00000000, err= -0.00090726 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 1.1117e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[7,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[7,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.4777e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.5790e-06)
inode= 15, ipnt= 0 (X): anal= 0.05429438, fd= 0.05472362, err= -0.00042925 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.01807311, fd= -0.01824121, err= 0.00016810 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00034997, fd= 0.00000000, err= -0.00034997 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 4.2925e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[8,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[8,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 3.7749e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.7262e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.9086e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[8,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[8,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 4.5538e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.1729e-06)
inode= 15, ipnt= 0 (X): anal= -0.09591609, fd= -0.09667388, err= 0.00075778 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.03192783, fd= 0.03222463, err= -0.00029680 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00061826, fd= 0.00000000, err= 0.00061826 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 7.5778e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[8,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[8,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.4051e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 9.1674e-06)
inode= 15, ipnt= 0 (X): anal= -0.03791412, fd= -0.03821359, err= 0.00029947 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.01262057, fd= 0.01273786, err= -0.00011729 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00024439, fd= 0.00000000, err= 0.00024439 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 2.9947e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[8,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[8,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.4092e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.8535e-05)
inode= 15, ipnt= 0 (X): anal= -0.01483035, fd= -0.01494759, err= 0.00011724 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.1724e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[9,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[9,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 5.2776e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.2662e-05)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 1.7041e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[9,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[9,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 5.2128e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0581e-05)
inode= 15, ipnt= 0 (X): anal= 0.02574764, fd= 0.02595106, err= -0.00020342 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00016597, fd= 0.00000000, err= -0.00016597 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 2.0342e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[9,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[9,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.3852e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.0307e-05)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 8.0200e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[9,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[9,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.3934e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.3846e-05)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 3.1118e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[10,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[10,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 4.7233e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.3117e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 5.5471e-06)
*********************************************************
Starting configuration sensitivity wrt "fuse[10,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[10,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 6.1517e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 8.4423e-06)
inode= 10, ipnt= 0 (Z): anal= -0.00140899, fd= -0.00160226, err= 0.00019327 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.9327e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[10,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[10,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.8932e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 7.7851e-05)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 3.8179e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[10,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[10,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.8915e-05)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.6648e-05)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.1321e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[11,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[11,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.5592e-08)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0131e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 5.7350e-07)
*********************************************************
Starting configuration sensitivity wrt "fuse[11,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[11,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.9755e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 5.2023e-05)
inode= 10, ipnt= 0 (Y): anal= 0.11416580, fd= 0.11437869, err= -0.00021290 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= 0.00527127, fd= 0.00599433, err= -0.00072306 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= 0.00624489, fd= 0.00599433, err= 0.00025056 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 7.2306e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[11,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[11,3]" for ibody=84
iface= 1, ipnt= 442 (Z): anal= 0.00197537, fd= 0.00167699, err= 0.00029838 (at 11.23157931 0.02615214 0.59830887)
iface= 1, ipnt= 445 (Z): anal= 0.00505629, fd= 0.00478797, err= 0.00026833 (at 11.25673200 0.04503226 0.59605781)
iface= 2, ipnt= 434 (Z): anal= 0.00744421, fd= 0.00723486, err= 0.00020935 (at 11.24990384 -0.05541910 0.59432713)
iface= 2, ipnt= 438 (Z): anal= 0.00113822, fd= 0.00088041, err= 0.00025781 (at 11.25319785 -0.01912036 0.59881127)
d(Face)/d(fuse) check complete with 4 total errors (errmax= 2.9838e-04)
iedge= 5, ipnt= 3 (Z): anal= 0.00019694, fd= 0.00008887, err= 0.00010807 (at 11.30340357 0.00620438 0.59931181)
iedge= 5, ipnt= 4 (Z): anal= 0.00035410, fd= 0.00020235, err= 0.00015176 (at 11.30900150 0.00938855 0.59922686)
iedge= 5, ipnt= 5 (Z): anal= 0.00062743, fd= 0.00042872, err= 0.00019871 (at 11.32078863 0.01375901 0.59905447)
iedge= 5, ipnt= 6 (Z): anal= 0.00142346, fd= 0.00117344, err= 0.00025001 (at 11.36630598 0.02350197 0.59844446)
iedge= 5, ipnt= 7 (Z): anal= 0.00230516, fd= 0.00207252, err= 0.00023264 (at 11.44943924 0.03349792 0.59751871)
iedge= 5, ipnt= 8 (Z): anal= 0.00265946, fd= 0.00247173, err= 0.00018773 (at 11.53330408 0.03997386 0.59678292)
iedge= 5, ipnt= 9 (Z): anal= 0.00259593, fd= 0.00245486, err= 0.00014107 (at 11.61743995 0.04457716 0.59621498)
iedge= 14, ipnt= 25 (Z): anal= 0.00238149, fd= 0.00226847, err= 0.00011301 (at 11.67209398 -0.04686828 0.59592650)
iedge= 14, ipnt= 26 (Z): anal= 0.00266910, fd= 0.00250766, err= 0.00016144 (at 11.57994604 -0.04270852 0.59644854)
iedge= 14, ipnt= 27 (Z): anal= 0.00252690, fd= 0.00231389, err= 0.00021301 (at 11.48801832 -0.03677592 0.59715761)
iedge= 14, ipnt= 28 (Z): anal= 0.00181594, fd= 0.00156521, err= 0.00025073 (at 11.39662208 -0.02779405 0.59808174)
iedge= 14, ipnt= 29 (Z): anal= 0.00061417, fd= 0.00041720, err= 0.00019697 (at 11.32018692 -0.01356766 0.59906334)
iedge= 14, ipnt= 30 (Z): anal= 0.00024709, fd= 0.00012298, err= 0.00012411 (at 11.30495379 -0.00730233 0.59928647)
d(Edge)/d(fuse) check complete with 13 total errors (errmax= 2.5073e-04)
inode= 10, ipnt= 0 (Z): anal= 0.00103981, fd= 0.00118245, err= -0.00014263 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.4263e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[11,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[11,4]" for ibody=84
iface= 1, ipnt= 442 (Z): anal= 0.88794475, fd= 0.88824250, err= -0.00029775 (at 11.23157931 0.02615214 0.59830887)
iface= 1, ipnt= 445 (Z): anal= 0.85073428, fd= 0.85100199, err= -0.00026771 (at 11.25673200 0.04503226 0.59605781)
iface= 2, ipnt= 434 (Z): anal= 0.84436018, fd= 0.84456905, err= -0.00020887 (at 11.24990384 -0.05541910 0.59432713)
iface= 2, ipnt= 438 (Z): anal= 0.87344209, fd= 0.87369927, err= -0.00025718 (at 11.25319785 -0.01912036 0.59881127)
d(Face)/d(fuse) check complete with 4 total errors (errmax= 2.9775e-04)
iedge= 5, ipnt= 3 (Z): anal= 0.83832862, fd= 0.83843636, err= -0.00010774 (at 11.30340357 0.00620438 0.59931181)
iedge= 5, ipnt= 4 (Z): anal= 0.83375791, fd= 0.83390826, err= -0.00015035 (at 11.30900150 0.00938855 0.59922686)
iedge= 5, ipnt= 5 (Z): anal= 0.82259973, fd= 0.82279660, err= -0.00019687 (at 11.32078863 0.01375901 0.59905447)
iedge= 5, ipnt= 6 (Z): anal= 0.77122003, fd= 0.77146938, err= -0.00024935 (at 11.36630598 0.02350197 0.59844446)
iedge= 5, ipnt= 7 (Z): anal= 0.66883594, fd= 0.66906754, err= -0.00023160 (at 11.44943924 0.03349792 0.59751871)
iedge= 5, ipnt= 8 (Z): anal= 0.55828707, fd= 0.55847293, err= -0.00018586 (at 11.53330408 0.03997386 0.59678292)
iedge= 5, ipnt= 9 (Z): anal= 0.44419593, fd= 0.44432644, err= -0.00013051 (at 11.61743995 0.04457716 0.59621498)
iedge= 5, ipnt= 25 (Z): anal= -0.00644605, fd= -0.00634135, err= -0.00010471 (at 12.96822054 0.03907570 0.59744662)
iedge= 14, ipnt= 25 (Z): anal= 0.37035216, fd= 0.37046414, err= -0.00011199 (at 11.67209398 -0.04686828 0.59592650)
iedge= 14, ipnt= 26 (Z): anal= 0.49516528, fd= 0.49532592, err= -0.00016063 (at 11.57994604 -0.04270852 0.59644854)
iedge= 14, ipnt= 27 (Z): anal= 0.61864105, fd= 0.61885331, err= -0.00021226 (at 11.48801832 -0.03677592 0.59715761)
iedge= 14, ipnt= 28 (Z): anal= 0.73495982, fd= 0.73520856, err= -0.00024874 (at 11.39662208 -0.02779405 0.59808174)
iedge= 14, ipnt= 29 (Z): anal= 0.82323024, fd= 0.82342703, err= -0.00019679 (at 11.32018692 -0.01356766 0.59906334)
iedge= 14, ipnt= 30 (Z): anal= 0.83752824, fd= 0.83765055, err= -0.00012231 (at 11.30495379 -0.00730233 0.59928647)
d(Edge)/d(fuse) check complete with 14 total errors (errmax= 2.4935e-04)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 7.9651e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[12,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[12,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 5.7429e-09)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 3.3474e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 1.0117e-05)
*********************************************************
Starting configuration sensitivity wrt "fuse[12,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[12,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 5.8216e-07)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 6.9933e-05)
inode= 10, ipnt= 0 (X): anal= -0.40244848, fd= -0.40316852, err= 0.00072005 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= -0.86298818, fd= -0.86459769, err= 0.00160951 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.03984598, fd= -0.04531164, err= 0.00546567 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (X): anal= -0.40345847, fd= -0.40316852, err= -0.00028995 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= 0.86515530, fd= 0.86459769, err= 0.00055761 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.04720561, fd= -0.04531164, err= -0.00189397 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 6 total errors (errmax= 5.4657e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[12,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[12,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.5857e-05)
iedge= 5, ipnt= 6 (Z): anal= 0.00079334, fd= 0.00065400, err= 0.00013934 (at 11.36630598 0.02350197 0.59844446)
iedge= 5, ipnt= 7 (Z): anal= 0.00186565, fd= 0.00167737, err= 0.00018828 (at 11.44943924 0.03349792 0.59751871)
iedge= 5, ipnt= 8 (Z): anal= 0.00309671, fd= 0.00287812, err= 0.00021860 (at 11.53330408 0.03997386 0.59678292)
iedge= 5, ipnt= 9 (Z): anal= 0.00439036, fd= 0.00415203, err= 0.00023833 (at 11.61743995 0.04457716 0.59621498)
iedge= 5, ipnt= 10 (Z): anal= 0.00564075, fd= 0.00538958, err= 0.00025117 (at 11.70171048 0.04792432 0.59579428)
iedge= 5, ipnt= 11 (Z): anal= 0.00674378, fd= 0.00648517, err= 0.00025861 (at 11.78606156 0.05033317 0.59550151)
iedge= 5, ipnt= 12 (Z): anal= 0.00760461, fd= 0.00734272, err= 0.00026189 (at 11.87046324 0.05199777 0.59531781)
iedge= 5, ipnt= 13 (Z): anal= 0.00814354, fd= 0.00788227, err= 0.00026128 (at 11.95489492 0.05304952 0.59522462)
iedge= 5, ipnt= 14 (Z): anal= 0.00830175, fd= 0.00804519, err= 0.00025656 (at 12.03934376 0.05358384 0.59520364)
iedge= 5, ipnt= 15 (Z): anal= 0.00807852, fd= 0.00783062, err= 0.00024790 (at 12.12380394 0.05367370 0.59524176)
...too many errors to list
iedge= 11, ipnt= 11 (Y): anal= -0.01079006, fd= -0.01063460, err= -0.00015546 (at 12.82443884 0.29780556 0.26544216)
iedge= 11, ipnt= 12 (Y): anal= -0.00346566, fd= -0.00300561, err= -0.00046006 (at 12.93762920 0.29771590 0.26355019)
iedge= 11, ipnt= 13 (Y): anal= 0.00244520, fd= 0.00133211, err= 0.00111309 (at 13.05075993 0.29743193 0.26053120)
iedge= 11, ipnt= 14 (Y): anal= 0.00667046, fd= 0.00653051, err= 0.00013995 (at 13.16382646 0.29694242 0.25661058)
iedge= 11, ipnt= 14 (Z): anal= 0.00032212, fd= -0.00016319, err= 0.00048532 (at 13.16382646 0.29694242 0.25661058)
iedge= 11, ipnt= 15 (Z): anal= 0.00045007, fd= 0.00063965, err= -0.00018959 (at 13.27683055 0.29624510 0.25195070)
iedge= 11, ipnt= 16 (Y): anal= 0.00998220, fd= 0.00987468, err= 0.00010752 (at 13.38977536 0.29533320 0.24666566)
iedge= 11, ipnt= 16 (Z): anal= 0.00049094, fd= 0.00024866, err= 0.00024228 (at 13.38977536 0.29533320 0.24666566)
iedge= 11, ipnt= 17 (Y): anal= 0.00906072, fd= 0.00931514, err= -0.00025442 (at 13.50266307 0.29419516 0.24082919)
iedge= 11, ipnt= 17 (Z): anal= 0.00044578, fd= 0.00104043, err= -0.00059466 (at 13.50266307 0.29419516 0.24082919)
iedge= 14, ipnt= 14 (Z): anal= 0.00211097, fd= 0.00200917, err= 0.00010180 (at 12.68823883 -0.04624995 0.59650222)
iedge= 14, ipnt= 15 (Z): anal= 0.00312379, fd= 0.00298946, err= 0.00013432 (at 12.59586155 -0.04820267 0.59621691)
iedge= 14, ipnt= 16 (Z): anal= 0.00423913, fd= 0.00407490, err= 0.00016423 (at 12.50347458 -0.04991257 0.59595297)
iedge= 14, ipnt= 17 (Z): anal= 0.00538339, fd= 0.00519275, err= 0.00019064 (at 12.41107886 -0.05135074 0.59571669)
iedge= 14, ipnt= 18 (Z): anal= 0.00646585, fd= 0.00625268, err= 0.00021316 (at 12.31867606 -0.05248292 0.59551531)
iedge= 14, ipnt= 19 (Z): anal= 0.00738362, fd= 0.00715238, err= 0.00023124 (at 12.22626857 -0.05326822 0.59535687)
iedge= 14, ipnt= 20 (Z): anal= 0.00802916, fd= 0.00778299, err= 0.00024617 (at 12.13385977 -0.05365764 0.59524995)
iedge= 14, ipnt= 21 (Z): anal= 0.00830063, fd= 0.00804449, err= 0.00025615 (at 12.04145475 -0.05359125 0.59520395)
iedge= 14, ipnt= 22 (Z): anal= 0.00811804, fd= 0.00785688, err= 0.00026116 (at 11.94906079 -0.05299445 0.59522857)
iedge= 14, ipnt= 23 (Z): anal= 0.00748424, fd= 0.00722265, err= 0.00026159 (at 11.85668944 -0.05177096 0.59534112)
...too many errors to list
d(Edge)/d(fuse) check complete with 41 total errors (errmax= 1.1131e-03)
inode= 10, ipnt= 0 (X): anal= -0.07938707, fd= -0.07952969, err= 0.00014262 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= -0.17023322, fd= -0.17055197, err= 0.00031875 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.00786003, fd= -0.00893825, err= 0.00107822 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= 0.17066071, fd= 0.17055197, err= 0.00010874 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.00931179, fd= -0.00893825, err= -0.00037354 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.0782e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[12,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[12,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 8.6256e-05)
iedge= 5, ipnt= 6 (Z): anal= 0.42982868, fd= 0.42996861, err= -0.00013993 (at 11.36630598 0.02350197 0.59844446)
iedge= 5, ipnt= 7 (Z): anal= 0.54131313, fd= 0.54150180, err= -0.00018868 (at 11.44943924 0.03349792 0.59751871)
iedge= 5, ipnt= 8 (Z): anal= 0.65007835, fd= 0.65029634, err= -0.00021799 (at 11.53330408 0.03997386 0.59678292)
iedge= 5, ipnt= 9 (Z): anal= 0.75124462, fd= 0.75149682, err= -0.00025221 (at 11.61743995 0.04457716 0.59621498)
iedge= 5, ipnt= 10 (Z): anal= 0.84037093, fd= 0.84062194, err= -0.00025101 (at 11.70171048 0.04792432 0.59579428)
iedge= 5, ipnt= 11 (Z): anal= 0.91313566, fd= 0.91339636, err= -0.00026070 (at 11.78606156 0.05033317 0.59550151)
iedge= 5, ipnt= 12 (Z): anal= 0.96524306, fd= 0.96550180, err= -0.00025874 (at 11.87046324 0.05199777 0.59531781)
iedge= 5, ipnt= 13 (Z): anal= 0.99240598, fd= 0.99266004, err= -0.00025406 (at 11.95489492 0.05304952 0.59522462)
iedge= 5, ipnt= 14 (Z): anal= 0.99048374, fd= 0.99071667, err= -0.00023292 (at 12.03934376 0.05358384 0.59520364)
iedge= 5, ipnt= 15 (Z): anal= 0.95938836, fd= 0.95957056, err= -0.00018220 (at 12.12380394 0.05367370 0.59524176)
...too many errors to list
iedge= 14, ipnt= 7 (Z): anal= -0.09679568, fd= -0.09656333, err= -0.00023235 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 13 (Z): anal= 0.21650003, fd= 0.21660458, err= -0.00010455 (at 12.78060570 -0.04407878 0.59680337)
iedge= 14, ipnt= 14 (Z): anal= 0.33263633, fd= 0.33287043, err= -0.00023409 (at 12.68823883 -0.04624995 0.59650222)
iedge= 14, ipnt= 15 (Z): anal= 0.45497090, fd= 0.45513472, err= -0.00016381 (at 12.59586155 -0.04820267 0.59621691)
iedge= 14, ipnt= 16 (Z): anal= 0.57761893, fd= 0.57778620, err= -0.00016727 (at 12.50347458 -0.04991257 0.59595297)
iedge= 14, ipnt= 17 (Z): anal= 0.69470865, fd= 0.69489973, err= -0.00019108 (at 12.41107886 -0.05135074 0.59571669)
iedge= 14, ipnt= 18 (Z): anal= 0.80037432, fd= 0.80059381, err= -0.00021949 (at 12.31867606 -0.05248292 0.59551531)
iedge= 14, ipnt= 19 (Z): anal= 0.88874708, fd= 0.88902044, err= -0.00027337 (at 12.22626857 -0.05326822 0.59535687)
iedge= 14, ipnt= 20 (Z): anal= 0.95394254, fd= 0.95417705, err= -0.00023452 (at 12.13385977 -0.05365764 0.59524995)
iedge= 14, ipnt= 21 (Z): anal= 0.99004568, fd= 0.99030941, err= -0.00026373 (at 12.04145475 -0.05359125 0.59520395)
...too many errors to list
d(Edge)/d(fuse) check complete with 34 total errors (errmax= 2.9433e-04)
inode= 10, ipnt= 0 (Y): anal= -0.09506884, fd= -0.09524576, err= 0.00017692 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.00438953, fd= -0.00499162, err= 0.00060209 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.00520028, fd= -0.00499162, err= -0.00020866 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 3 total errors (errmax= 6.0209e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[13,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[13,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 2.6015e-09)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 4.4659e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.9546e-06)
*********************************************************
Starting configuration sensitivity wrt "fuse[13,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[13,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 6.3913e-07)
iedge= 11, ipnt= 13 (Y): anal= -0.97350276, fd= -0.97361017, err= 0.00010741 (at 13.05075993 0.29743193 0.26053120)
iedge= 21, ipnt= 8 (Y): anal= 0.96999220, fd= 0.97011118, err= -0.00011899 (at 13.05638272 -0.29741246 0.26035601)
d(Edge)/d(fuse) check complete with 2 total errors (errmax= 1.1899e-04)
inode= 10, ipnt= 0 (X): anal= -0.12490215, fd= -0.12512549, err= 0.00022334 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= -0.26783324, fd= -0.26833249, err= 0.00049925 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.01236642, fd= -0.01406271, err= 0.00169629 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= 0.26850582, fd= 0.26833249, err= 0.00017332 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.01465053, fd= -0.01406271, err= -0.00058782 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.6963e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[13,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[13,3]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.6737e-05)
iedge= 5, ipnt= 18 (Z): anal= 0.00375985, fd= 0.00363046, err= 0.00012939 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= 0.00449756, fd= 0.00433070, err= 0.00016686 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= 0.00506469, fd= 0.00485924, err= 0.00020545 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= 0.00542500, fd= 0.00518134, err= 0.00024366 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= 0.00555866, fd= 0.00527999, err= 0.00027867 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= 0.00546214, fd= 0.00515399, err= 0.00030815 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= 0.00514720, fd= 0.00481802, err= 0.00032919 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 25 (Z): anal= 0.00463925, fd= 0.00430209, err= 0.00033716 (at 12.96822054 0.03907570 0.59744662)
iedge= 5, ipnt= 26 (Z): anal= 0.00397748, fd= 0.00364347, err= 0.00033401 (at 13.05261778 0.03659278 0.59774416)
iedge= 5, ipnt= 27 (Z): anal= 0.00323444, fd= 0.00292079, err= 0.00031365 (at 13.13700567 0.03397837 0.59804182)
...too many errors to list
iedge= 14, ipnt= 5 (Z): anal= 0.00055670, fd= 0.00044237, err= 0.00011433 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 6 (Z): anal= 0.00099888, fd= 0.00082982, err= 0.00016906 (at 13.42686310 -0.02406514 0.59900064)
iedge= 14, ipnt= 7 (Z): anal= 0.00159087, fd= 0.00136570, err= 0.00022517 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= 0.00231264, fd= 0.00204102, err= 0.00027162 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= 0.00311845, fd= 0.00280861, err= 0.00030984 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 10 (Z): anal= 0.00393465, fd= 0.00360198, err= 0.00033267 (at 13.05764152 -0.03644075 0.59776190)
iedge= 14, ipnt= 11 (Z): anal= 0.00465963, fd= 0.00432029, err= 0.00033934 (at 12.96530716 -0.03915894 0.59743655)
iedge= 14, ipnt= 12 (Z): anal= 0.00519916, fd= 0.00487187, err= 0.00032729 (at 12.87296185 -0.04170950 0.59711601)
iedge= 14, ipnt= 13 (Z): anal= 0.00550318, fd= 0.00520057, err= 0.00030260 (at 12.78060570 -0.04407878 0.59680337)
iedge= 14, ipnt= 14 (Z): anal= 0.00554139, fd= 0.00527290, err= 0.00026849 (at 12.68823883 -0.04624995 0.59650222)
...too many errors to list
d(Edge)/d(fuse) check complete with 28 total errors (errmax= 3.3934e-04)
inode= 10, ipnt= 0 (Z): anal= -0.00243940, fd= -0.00277403, err= 0.00033462 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.00288997, fd= -0.00277403, err= -0.00011594 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 3.3462e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[13,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[13,4]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.6742e-05)
iedge= 5, ipnt= 18 (Z): anal= 0.47712082, fd= 0.47725026, err= -0.00012944 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= 0.59701122, fd= 0.59717827, err= -0.00016704 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= 0.71058389, fd= 0.71078955, err= -0.00020566 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= 0.81268030, fd= 0.81292398, err= -0.00024369 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= 0.89812900, fd= 0.89840971, err= -0.00028071 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= 0.96174378, fd= 0.96207464, err= -0.00033086 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= 0.99832345, fd= 0.99879770, err= -0.00047424 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 25 (Z): anal= 1.00265265, fd= 1.00345500, err= -0.00080235 (at 12.96822054 0.03907570 0.59744662)
iedge= 5, ipnt= 26 (Z): anal= 0.97002278, fd= 0.97032901, err= -0.00030624 (at 13.05261778 0.03659278 0.59774416)
iedge= 5, ipnt= 27 (Z): anal= 0.90281404, fd= 0.90314116, err= -0.00032712 (at 13.13700567 0.03397837 0.59804182)
...too many errors to list
iedge= 14, ipnt= 5 (Z): anal= 0.37230278, fd= 0.37240790, err= -0.00010512 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 7 (Z): anal= 0.65294967, fd= 0.65271982, err= 0.00022985 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= 0.78190960, fd= 0.78210270, err= -0.00019310 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= 0.88990470, fd= 0.89015593, err= -0.00025124 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 10 (Z): anal= 0.96691768, fd= 0.96731144, err= -0.00039376 (at 13.05764152 -0.03644075 0.59776190)
iedge= 14, ipnt= 11 (Z): anal= 1.00309764, fd= 1.00337868, err= -0.00028104 (at 12.96530716 -0.03915894 0.59743655)
iedge= 14, ipnt= 12 (Z): anal= 0.99531715, fd= 0.99565365, err= -0.00033650 (at 12.87296185 -0.04170950 0.59711601)
iedge= 14, ipnt= 13 (Z): anal= 0.94973801, fd= 0.94997891, err= -0.00024090 (at 12.78060570 -0.04407878 0.59680337)
iedge= 14, ipnt= 15 (Z): anal= 0.77246865, fd= 0.77264546, err= -0.00017681 (at 12.59586155 -0.04820267 0.59621691)
iedge= 14, ipnt= 16 (Z): anal= 0.65436843, fd= 0.65454869, err= -0.00018026 (at 12.50347458 -0.04991257 0.59595297)
...too many errors to list
d(Edge)/d(fuse) check complete with 25 total errors (errmax= 8.0235e-04)
inode= 10, ipnt= 0 (Z): anal= -0.00136231, fd= -0.00154918, err= 0.00018686 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.8686e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[14,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[14,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 3.4356e-09)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 1.0005e-06)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 2.0519e-07)
*********************************************************
Starting configuration sensitivity wrt "fuse[14,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[14,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.7668e-06)
iedge= 11, ipnt= 13 (Y): anal= -0.18975880, fd= -0.18939261, err= -0.00036619 (at 13.05075993 0.29743193 0.26053120)
iedge= 12, ipnt= 7 (Y): anal= -0.46666712, fd= -0.46695895, err= 0.00029183 (at 13.12505891 0.26936245 0.16777278)
iedge= 12, ipnt= 8 (Y): anal= -0.02061440, fd= -0.02073612, err= 0.00012172 (at 13.00643555 0.26759617 0.16437465)
iedge= 12, ipnt= 9 (Y): anal= 0.28925152, fd= 0.28899882, err= 0.00025270 (at 12.88777568 0.26628088 0.16202910)
iedge= 21, ipnt= 8 (Y): anal= 0.21234502, fd= 0.21194297, err= 0.00040204 (at 13.05638272 -0.29741246 0.26035601)
d(Edge)/d(fuse) check complete with 5 total errors (errmax= 4.0204e-04)
inode= 10, ipnt= 0 (X): anal= 0.12367542, fd= 0.12389673, err= -0.00022131 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= 0.26520271, fd= 0.26569739, err= -0.00049468 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= 0.01224497, fd= 0.01392461, err= -0.00167964 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= -0.26586868, fd= -0.26569739, err= -0.00017129 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= 0.01450664, fd= 0.01392461, err= 0.00058203 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.6796e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[14,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[14,3]" for ibody=84
iface= 1, ipnt= 463 (Z): anal= 1.04072659, fd= 1.04096512, err= -0.00023853 (at 13.88948897 0.05852720 0.00576835)
iface= 1, ipnt= 481 (Z): anal= 0.55859693, fd= 0.55873096, err= -0.00013403 (at 13.94474447 0.02940482 0.00144883)
iface= 1, ipnt= 641 (Z): anal= 1.63049429, fd= 1.63028329, err= 0.00021100 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 722 (Z): anal= 1.12408656, fd= 1.12394235, err= 0.00014421 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 728 (Z): anal= 1.74538050, fd= 1.74516148, err= 0.00021902 (at 13.66499951 0.11702560 0.02376469)
iface= 1, ipnt= 823 (Z): anal= 1.84097177, fd= 1.84081587, err= 0.00015590 (at 13.53776286 0.09674920 0.01602235)
iface= 1, ipnt=1051 (Z): anal= 0.06201279, fd= 0.06212621, err= -0.00011342 (at 13.33430848 0.13371593 0.56854144)
iface= 1, ipnt=1200 (Z): anal= 0.06351907, fd= 0.06368623, err= -0.00016716 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 493 (Z): anal= 0.55859693, fd= 0.55873096, err= -0.00013403 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 641 (Z): anal= 1.60533990, fd= 1.60513174, err= 0.00020816 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 720 (Z): anal= 0.95994132, fd= 0.95981738, err= 0.00012394 (at 13.26303596 -0.11099771 0.02127784)
iface= 2, ipnt= 846 (Z): anal= 1.83890312, fd= 1.83874461, err= 0.00015851 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 847 (Z): anal= 1.50569055, fd= 1.50555924, err= 0.00013130 (at 13.72900859 -0.13635447 0.03277687)
iface= 2, ipnt= 962 (Z): anal= 1.62428103, fd= 1.62413080, err= 0.00015022 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1043 (Z): anal= 0.07145195, fd= 0.07164671, err= -0.00019476 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1051 (Z): anal= 1.56406139, fd= 1.56389028, err= 0.00017111 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1140 (Z): anal= 0.06542262, fd= 0.06560017, err= -0.00017755 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1141 (Z): anal= 0.04571967, fd= 0.04586690, err= -0.00014723 (at 13.31134778 -0.11614989 0.57658517)
...too many errors to list
d(Face)/d(fuse) check complete with 23 total errors (errmax= 2.6505e-04)
iedge= 5, ipnt= 17 (Z): anal= -0.00250330, fd= -0.00237870, err= -0.00012460 (at 12.29273325 0.05274036 0.59546611)
iedge= 5, ipnt= 18 (Z): anal= -0.00307372, fd= -0.00291026, err= -0.00016346 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= -0.00342688, fd= -0.00322867, err= -0.00019821 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= -0.00351733, fd= -0.00329192, err= -0.00022542 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= -0.00332768, fd= -0.00308706, err= -0.00024061 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= -0.00286879, fd= -0.00263273, err= -0.00023606 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= -0.00217818, fd= -0.00197163, err= -0.00020655 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= -0.00131669, fd= -0.00117058, err= -0.00014611 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 27 (Z): anal= 0.00136901, fd= 0.00110224, err= 0.00026678 (at 13.13700567 0.03397837 0.59804182)
iedge= 5, ipnt= 28 (Z): anal= 0.00186033, fd= 0.00140825, err= 0.00045208 (at 13.22138394 0.03123871 0.59833486)
...too many errors to list
iedge= 11, ipnt= 11 (Y): anal= 0.02838513, fd= 0.02854075, err= -0.00015562 (at 12.82443884 0.29780556 0.26544216)
iedge= 11, ipnt= 12 (Y): anal= 0.01334381, fd= 0.01380888, err= -0.00046507 (at 12.93762920 0.29771590 0.26355019)
iedge= 11, ipnt= 13 (Y): anal= -0.01436660, fd= -0.01545351, err= 0.00108690 (at 13.05075993 0.29743193 0.26053120)
iedge= 11, ipnt= 14 (Y): anal= -0.05789977, fd= -0.05803652, err= 0.00013675 (at 13.16382646 0.29694242 0.25661058)
iedge= 11, ipnt= 14 (Z): anal= -0.00279602, fd= -0.00328117, err= 0.00048514 (at 13.16382646 0.29694242 0.25661058)
iedge= 11, ipnt= 15 (Z): anal= -0.00565186, fd= -0.00546235, err= -0.00018951 (at 13.27683055 0.29624510 0.25195070)
iedge= 11, ipnt= 16 (Y): anal= -0.18231066, fd= -0.18242075, err= 0.00011010 (at 13.38977536 0.29533320 0.24666566)
iedge= 11, ipnt= 16 (Z): anal= -0.00896625, fd= -0.00920863, err= 0.00024237 (at 13.38977536 0.29533320 0.24666566)
iedge= 11, ipnt= 17 (Y): anal= -0.24884709, fd= -0.24859611, err= -0.00025098 (at 13.50266307 0.29419516 0.24082919)
iedge= 11, ipnt= 17 (Z): anal= -0.01224303, fd= -0.01164863, err= -0.00059440 (at 13.50266307 0.29419516 0.24082919)
iedge= 12, ipnt= 7 (Y): anal= -0.18400791, fd= -0.18414872, err= 0.00014081 (at 13.12505891 0.26936245 0.16777278)
iedge= 14, ipnt= 1 (Z): anal= 0.00015996, fd= 0.00002816, err= 0.00013179 (at 13.88809019 -0.00534757 0.59995187)
iedge= 14, ipnt= 2 (Z): anal= 0.00011464, fd= -0.00027411, err= 0.00038875 (at 13.79587588 -0.00939809 0.59984840)
iedge= 14, ipnt= 3 (Z): anal= 0.00026436, fd= -0.00036873, err= 0.00063309 (at 13.70364478 -0.01328783 0.59969462)
iedge= 14, ipnt= 4 (Z): anal= 0.00065613, fd= -0.00013592, err= 0.00079205 (at 13.61139828 -0.01702513 0.59949773)
iedge= 14, ipnt= 5 (Z): anal= 0.00118852, fd= 0.00033496, err= 0.00085357 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 6 (Z): anal= 0.00169059, fd= 0.00088869, err= 0.00080191 (at 13.42686310 -0.02406514 0.59900064)
iedge= 14, ipnt= 7 (Z): anal= 0.00198362, fd= 0.00131608, err= 0.00066754 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= 0.00192913, fd= 0.00143415, err= 0.00049498 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= 0.00146578, fd= 0.00117244, err= 0.00029334 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 10 (Z): anal= 0.00063617, fd= 0.00053284, err= 0.00010333 (at 13.05764152 -0.03644075 0.59776190)
...too many errors to list
d(Edge)/d(fuse) check complete with 46 total errors (errmax= 1.0869e-03)
inode= 10, ipnt= 0 (Z): anal= 0.00241546, fd= 0.00274679, err= -0.00033133 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= 0.00286160, fd= 0.00274679, err= 0.00011481 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 2 total errors (errmax= 3.3133e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[14,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[14,4]" for ibody=84
iface= 1, ipnt= 463 (Z): anal= 0.01024470, fd= 0.01000617, err= 0.00023853 (at 13.88948897 0.05852720 0.00576835)
iface= 1, ipnt= 481 (Z): anal= 0.00207364, fd= 0.00193961, err= 0.00013403 (at 13.94474447 0.02940482 0.00144883)
iface= 1, ipnt= 641 (Z): anal= 0.06386323, fd= 0.06407422, err= -0.00021100 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 722 (Z): anal= 0.04117709, fd= 0.04132130, err= -0.00014421 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 728 (Z): anal= 0.07227576, fd= 0.07249477, err= -0.00021902 (at 13.66499951 0.11702560 0.02376469)
iface= 1, ipnt= 823 (Z): anal= 0.05074385, fd= 0.05089975, err= -0.00015590 (at 13.53776286 0.09674920 0.01602235)
iface= 1, ipnt=1051 (Z): anal= 1.11841858, fd= 1.11830524, err= 0.00011334 (at 13.33430848 0.13371593 0.56854144)
iface= 1, ipnt=1200 (Z): anal= 1.35138132, fd= 1.35121419, err= 0.00016713 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 493 (Z): anal= 0.00207364, fd= 0.00193961, err= 0.00013403 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 641 (Z): anal= 0.06336000, fd= 0.06356817, err= -0.00020816 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 720 (Z): anal= 0.03550303, fd= 0.03562697, err= -0.00012394 (at 13.26303596 -0.11099771 0.02127784)
iface= 2, ipnt= 846 (Z): anal= 0.05103193, fd= 0.05119044, err= -0.00015851 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 847 (Z): anal= 0.08716186, fd= 0.08729316, err= -0.00013130 (at 13.72900859 -0.13635447 0.03277687)
iface= 2, ipnt= 962 (Z): anal= 0.09252081, fd= 0.09267104, err= -0.00015022 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1043 (Z): anal= 1.55837437, fd= 1.55817967, err= 0.00019470 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1051 (Z): anal= 0.05196325, fd= 0.05213436, err= -0.00017111 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1140 (Z): anal= 1.41879740, fd= 1.41861993, err= 0.00017747 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1141 (Z): anal= 1.12130129, fd= 1.12115418, err= 0.00014711 (at 13.31134778 -0.11614989 0.57658517)
...too many errors to list
d(Face)/d(fuse) check complete with 23 total errors (errmax= 2.6505e-04)
iedge= 5, ipnt= 15 (Z): anal= -0.13419678, fd= -0.13432698, err= 0.00013019 (at 12.12380394 0.05367370 0.59524176)
iedge= 5, ipnt= 17 (Z): anal= -0.34416251, fd= -0.34428764, err= 0.00012513 (at 12.29273325 0.05274036 0.59546611)
iedge= 5, ipnt= 18 (Z): anal= -0.44049716, fd= -0.44066071, err= 0.00016354 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= -0.51896319, fd= -0.51916166, err= 0.00019847 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= -0.57046818, fd= -0.57069385, err= 0.00022567 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= -0.58589897, fd= -0.58613967, err= 0.00024070 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= -0.55611829, fd= -0.55636105, err= 0.00024276 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= -0.47196374, fd= -0.47224625, err= 0.00028251 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= -0.32424939, fd= -0.32488332, err= 0.00063392 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 25 (Z): anal= -0.10376892, fd= -0.10538366, err= 0.00161473 (at 12.96822054 0.03907570 0.59744662)
...too many errors to list
iedge= 14, ipnt= 1 (Z): anal= 1.10406238, fd= 1.10419668, err= -0.00013430 (at 13.88809019 -0.00534757 0.59995187)
iedge= 14, ipnt= 2 (Z): anal= 1.73249294, fd= 1.73286727, err= -0.00037432 (at 13.79587588 -0.00939809 0.59984840)
iedge= 14, ipnt= 3 (Z): anal= 2.07381852, fd= 2.07443874, err= -0.00062022 (at 13.70364478 -0.01328783 0.59969462)
iedge= 14, ipnt= 4 (Z): anal= 2.17305801, fd= 2.17384994, err= -0.00079194 (at 13.61139828 -0.01702513 0.59949773)
iedge= 14, ipnt= 5 (Z): anal= 2.07538756, fd= 2.07627246, err= -0.00088490 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 6 (Z): anal= 1.82606244, fd= 1.82722945, err= -0.00116701 (at 13.42686310 -0.02406514 0.59900064)
iedge= 14, ipnt= 7 (Z): anal= 1.47035789, fd= 1.47256505, err= -0.00220717 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= 1.05352532, fd= 1.05428651, err= -0.00076119 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= 0.62075932, fd= 0.62125103, err= -0.00049170 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 10 (Z): anal= 0.21717730, fd= 0.21707383, err= 0.00010348 (at 13.05764152 -0.03644075 0.59776190)
...too many errors to list
d(Edge)/d(fuse) check complete with 37 total errors (errmax= 2.2072e-03)
inode= 10, ipnt= 0 (Z): anal= 0.00134891, fd= 0.00153393, err= -0.00018502 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.8502e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[15,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[15,1]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 7.9710e-09)
d(Edge)/d(fuse) check complete with 0 total errors (errmax= 2.5963e-07)
d(Node)/d(fuse) check complete with 0 total errors (errmax= 5.5376e-08)
*********************************************************
Starting configuration sensitivity wrt "fuse[15,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[15,2]" for ibody=84
d(Face)/d(fuse) check complete with 0 total errors (errmax= 1.0664e-06)
iedge= 11, ipnt= 13 (Y): anal= 0.14023714, fd= 0.13993565, err= 0.00030149 (at 13.05075993 0.29743193 0.26053120)
iedge= 12, ipnt= 7 (Y): anal= 0.34338549, fd= 0.34362595, err= -0.00024046 (at 13.12505891 0.26936245 0.16777278)
iedge= 12, ipnt= 8 (Y): anal= 0.01524875, fd= 0.01534901, err= -0.00010026 (at 13.00643555 0.26759617 0.16437465)
iedge= 12, ipnt= 9 (Y): anal= -0.21396675, fd= -0.21375868, err= -0.00020806 (at 12.88777568 0.26628088 0.16202910)
iedge= 21, ipnt= 8 (Y): anal= -0.15689571, fd= -0.15656487, err= -0.00033085 (at 13.05638272 -0.29741246 0.26035601)
d(Edge)/d(fuse) check complete with 5 total errors (errmax= 3.3085e-04)
inode= 10, ipnt= 0 (X): anal= -0.09148597, fd= -0.09164958, err= 0.00016361 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= -0.19617744, fd= -0.19654317, err= 0.00036573 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.00905792, fd= -0.01030039, err= 0.00124247 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= 0.19667008, fd= 0.19654317, err= 0.00012691 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= -0.01073094, fd= -0.01030039, err= -0.00043055 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 5 total errors (errmax= 1.2425e-03)
*********************************************************
Starting configuration sensitivity wrt "fuse[15,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[15,3]" for ibody=84
iface= 1, ipnt= 479 (Z): anal= 0.00447951, fd= 0.00435725, err= 0.00012226 (at 13.94800836 0.06097290 0.59373512)
iface= 1, ipnt= 481 (Z): anal= 0.43067615, fd= 0.43088359, err= -0.00020745 (at 13.94474447 0.02940482 0.00144883)
iface= 1, ipnt= 491 (Z): anal= 0.00062463, fd= 0.00036938, err= 0.00025525 (at 13.99014410 0.01528234 0.59960871)
iface= 1, ipnt= 641 (Z): anal= -1.11535065, fd= -1.11518931, err= -0.00016134 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 722 (Z): anal= -0.80721884, fd= -0.80710453, err= -0.00011431 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 728 (Z): anal= -1.04798024, fd= -1.04782851, err= -0.00015173 (at 13.66499951 0.11702560 0.02376469)
iface= 1, ipnt= 823 (Z): anal= -1.22410063, fd= -1.22398393, err= -0.00011670 (at 13.53776286 0.09674920 0.01602235)
iface= 1, ipnt=1200 (Z): anal= -0.04482068, fd= -0.04495122, err= 0.00013054 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 480 (Z): anal= 0.00410616, fd= 0.00399383, err= 0.00011233 (at 13.94404508 -0.06114721 0.59369893)
iface= 2, ipnt= 490 (Z): anal= 0.00062463, fd= 0.00036938, err= 0.00025525 (at 13.99014410 -0.01528234 0.59960871)
iface= 2, ipnt= 493 (Z): anal= 0.43067615, fd= 0.43088359, err= -0.00020745 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 641 (Z): anal= -1.10251625, fd= -1.10235660, err= -0.00015964 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 846 (Z): anal= -1.22289508, fd= -1.22277641, err= -0.00011867 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 962 (Z): anal= -0.98640477, fd= -0.98629979, err= -0.00010498 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1043 (Z): anal= -0.04919235, fd= -0.04934166, err= 0.00014930 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1051 (Z): anal= -0.76029107, fd= -0.76019068, err= -0.00010039 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1140 (Z): anal= -0.04588569, fd= -0.04602371, err= 0.00013802 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1141 (Z): anal= -0.03289804, fd= -0.03301465, err= 0.00011661 (at 13.31134778 -0.11614989 0.57658517)
...too many errors to list
d(Face)/d(fuse) check complete with 21 total errors (errmax= 2.5525e-04)
iedge= 2, ipnt= 1 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 0.05852709 0.00576834)
iedge= 2, ipnt= 17 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 0.05852709 0.59423166)
iedge= 2, ipnt= 18 (Z): anal= 0.00273238, fd= 0.00239147, err= 0.00034091 (at 14.00000000 0.02940488 0.59855116)
iedge= 5, ipnt= 17 (Z): anal= 0.00177354, fd= 0.00167261, err= 0.00010093 (at 12.29273325 0.05274036 0.59546611)
iedge= 5, ipnt= 18 (Z): anal= 0.00217105, fd= 0.00203865, err= 0.00013240 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= 0.00241025, fd= 0.00224971, err= 0.00016055 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= 0.00246007, fd= 0.00227748, err= 0.00018259 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= 0.00231072, fd= 0.00211582, err= 0.00019490 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= 0.00197387, fd= 0.00178266, err= 0.00019121 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= 0.00148126, fd= 0.00131393, err= 0.00016733 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= 0.00088204, fd= 0.00076354, err= 0.00011850 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 27 (Z): anal= -0.00083690, fd= -0.00062178, err= -0.00021512 (at 13.13700567 0.03397837 0.59804182)
iedge= 5, ipnt= 28 (Z): anal= -0.00106172, fd= -0.00069980, err= -0.00036192 (at 13.22138394 0.03123871 0.59833486)
...too many errors to list
iedge= 12, ipnt= 7 (Y): anal= 0.13539747, fd= 0.13495356, err= 0.00044392 (at 13.12505891 0.26936245 0.16777278)
iedge= 12, ipnt= 7 (Z): anal= 0.00587223, fd= 0.00683761, err= -0.00096538 (at 13.12505891 0.26936245 0.16777278)
iedge= 12, ipnt= 8 (Y): anal= 0.00629372, fd= 0.00667979, err= -0.00038607 (at 13.00643555 0.26759617 0.16437465)
iedge= 12, ipnt= 8 (Z): anal= 0.00029577, fd= -0.00009171, err= 0.00038748 (at 13.00643555 0.26759617 0.16437465)
iedge= 12, ipnt= 9 (Y): anal= -0.09110826, fd= -0.08996759, err= -0.00114066 (at 12.88777568 0.26628088 0.16202910)
iedge= 12, ipnt= 9 (Z): anal= -0.00468786, fd= -0.00592007, err= 0.00123221 (at 12.88777568 0.26628088 0.16202910)
iedge= 12, ipnt= 10 (Y): anal= -0.14911667, fd= -0.14932274, err= 0.00020607 (at 12.76911894 0.26562722 0.16103673)
iedge= 12, ipnt= 10 (Z): anal= -0.00850890, fd= -0.00939791, err= 0.00088901 (at 12.76911894 0.26562722 0.16103673)
iedge= 12, ipnt= 11 (Z): anal= -0.01092924, fd= -0.01169508, err= 0.00076584 (at 12.65054226 0.26590586 0.16183500)
iedge= 14, ipnt= 2 (Z): anal= 0.00029902, fd= 0.00051146, err= -0.00021244 (at 13.79587588 -0.00939809 0.59984840)
iedge= 14, ipnt= 3 (Z): anal= 0.00038754, fd= 0.00080892, err= -0.00042138 (at 13.70364478 -0.01328783 0.59969462)
iedge= 14, ipnt= 4 (Z): anal= 0.00021039, fd= 0.00078128, err= -0.00057088 (at 13.61139828 -0.01702513 0.59949773)
iedge= 14, ipnt= 5 (Z): anal= -0.00016975, fd= 0.00047421, err= -0.00064396 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 6 (Z): anal= -0.00061298, fd= 0.00000797, err= -0.00062096 (at 13.42686310 -0.02406514 0.59900064)
iedge= 14, ipnt= 7 (Z): anal= -0.00095993, fd= -0.00043372, err= -0.00052621 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= -0.00107651, fd= -0.00068118, err= -0.00039533 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= -0.00088831, fd= -0.00065202, err= -0.00023629 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 12 (Z): anal= 0.00096297, fd= 0.00083675, err= 0.00012622 (at 12.87296185 -0.04170950 0.59711601)
iedge= 14, ipnt= 13 (Z): anal= 0.00160212, fd= 0.00142689, err= 0.00017524 (at 12.78060570 -0.04407878 0.59680337)
...too many errors to list
iedge= 16, ipnt= 1 (Z): anal= 0.00273238, fd= 0.00239147, err= 0.00034091 (at 14.00000000 -0.02940488 0.59855116)
iedge= 16, ipnt= 2 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 -0.05852709 0.59423166)
iedge= 16, ipnt= 18 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 -0.05852709 0.00576834)
d(Edge)/d(fuse) check complete with 47 total errors (errmax= 1.2322e-03)
inode= 10, ipnt= 0 (Z): anal= -0.00178678, fd= -0.00203189, err= 0.00024510 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 2.4510e-04)
*********************************************************
Starting configuration sensitivity wrt "fuse[15,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "fuse[15,4]" for ibody=84
iface= 1, ipnt= 479 (Z): anal= 0.44495900, fd= 0.44508132, err= -0.00012232 (at 13.94800836 0.06097290 0.59373512)
iface= 1, ipnt= 481 (Z): anal= 0.00066328, fd= 0.00045583, err= 0.00020745 (at 13.94474447 0.02940482 0.00144883)
iface= 1, ipnt= 491 (Z): anal= 0.89769884, fd= 0.89795523, err= -0.00025639 (at 13.99014410 0.01528234 0.59960871)
iface= 1, ipnt= 641 (Z): anal= -0.04384375, fd= -0.04400509, err= 0.00016134 (at 13.47689156 0.11401613 0.02250134)
iface= 1, ipnt= 722 (Z): anal= -0.02966915, fd= -0.02978346, err= 0.00011431 (at 13.30582220 0.11050690 0.02108269)
iface= 1, ipnt= 728 (Z): anal= -0.04358455, fd= -0.04373628, err= 0.00015173 (at 13.66499951 0.11702560 0.02376469)
iface= 1, ipnt= 823 (Z): anal= -0.03386027, fd= -0.03397697, err= 0.00011670 (at 13.53776286 0.09674920 0.01602235)
iface= 1, ipnt=1200 (Z): anal= -0.95100483, fd= -0.95087434, err= -0.00013049 (at 13.39231925 0.12402764 0.57314665)
iface= 2, ipnt= 480 (Z): anal= 0.40655336, fd= 0.40666574, err= -0.00011239 (at 13.94404508 -0.06114721 0.59369893)
iface= 2, ipnt= 490 (Z): anal= 0.89769884, fd= 0.89795523, err= -0.00025639 (at 13.99014410 -0.01528234 0.59960871)
iface= 2, ipnt= 493 (Z): anal= 0.00066328, fd= 0.00045583, err= 0.00020745 (at 13.94474447 -0.02940482 0.00144883)
iface= 2, ipnt= 641 (Z): anal= -0.04366914, fd= -0.04382879, err= 0.00015964 (at 13.46677686 -0.11442036 0.02266738)
iface= 2, ipnt= 846 (Z): anal= -0.03405854, fd= -0.03417721, err= 0.00011867 (at 13.53750277 -0.09705778 0.01612766)
iface= 2, ipnt= 962 (Z): anal= -0.05631642, fd= -0.05642140, err= 0.00010498 (at 13.65507837 -0.13535699 0.03226599)
iface= 2, ipnt=1043 (Z): anal= -1.06971119, fd= -1.06956190, err= -0.00014929 (at 13.46812450 -0.12262493 0.57377986)
iface= 2, ipnt=1051 (Z): anal= -0.02541805, fd= -0.02551843, err= 0.00010039 (at 13.77251720 -0.10568514 0.01923329)
iface= 2, ipnt=1140 (Z): anal= -0.99230508, fd= -0.99216709, err= -0.00013799 (at 13.41354113 -0.12294266 0.57363655)
iface= 2, ipnt=1141 (Z): anal= -0.80433888, fd= -0.80422231, err= -0.00011657 (at 13.31134778 -0.11614989 0.57658517)
...too many errors to list
d(Face)/d(fuse) check complete with 21 total errors (errmax= 2.5639e-04)
iedge= 2, ipnt= 1 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 0.05852709 0.00576834)
iedge= 2, ipnt= 17 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 0.05852709 0.59423166)
iedge= 2, ipnt= 18 (Z): anal= 0.98763322, fd= 0.98797414, err= -0.00034091 (at 14.00000000 0.02940488 0.59855116)
iedge= 5, ipnt= 17 (Z): anal= 0.25466419, fd= 0.25476553, err= -0.00010134 (at 12.29273325 0.05274036 0.59546611)
iedge= 5, ipnt= 18 (Z): anal= 0.32594988, fd= 0.32608238, err= -0.00013250 (at 12.37719452 0.05180346 0.59563838)
iedge= 5, ipnt= 19 (Z): anal= 0.38401529, fd= 0.38417607, err= -0.00016078 (at 12.46165048 0.05059912 0.59584217)
iedge= 5, ipnt= 20 (Z): anal= 0.42213197, fd= 0.42231477, err= -0.00018280 (at 12.54609974 0.04915555 0.59607170)
iedge= 5, ipnt= 21 (Z): anal= 0.43355559, fd= 0.43375057, err= -0.00019497 (at 12.63054125 0.04749672 0.59632179)
iedge= 5, ipnt= 22 (Z): anal= 0.41152344, fd= 0.41172013, err= -0.00019669 (at 12.71497442 0.04564304 0.59658791)
iedge= 5, ipnt= 23 (Z): anal= 0.34925387, fd= 0.34948366, err= -0.00022978 (at 12.79939881 0.04361213 0.59686617)
iedge= 5, ipnt= 24 (Z): anal= 0.23994767, fd= 0.24046775, err= -0.00052008 (at 12.88381421 0.04141894 0.59715329)
iedge= 5, ipnt= 25 (Z): anal= 0.07679072, fd= 0.07812012, err= -0.00132939 (at 12.96822054 0.03907570 0.59744662)
iedge= 5, ipnt= 26 (Z): anal= -0.14559279, fd= -0.14574387, err= 0.00015108 (at 13.05261778 0.03659278 0.59774416)
...too many errors to list
iedge= 14, ipnt= 2 (Z): anal= -0.77060451, fd= -0.77080346, err= 0.00019895 (at 13.79587588 -0.00939809 0.59984840)
iedge= 14, ipnt= 3 (Z): anal= -1.18130652, fd= -1.18171610, err= 0.00040958 (at 13.70364478 -0.01328783 0.59969462)
iedge= 14, ipnt= 4 (Z): anal= -1.37639721, fd= -1.37696775, err= 0.00057054 (at 13.61139828 -0.01702513 0.59949773)
iedge= 14, ipnt= 5 (Z): anal= -1.39405940, fd= -1.39472916, err= 0.00066977 (at 13.51913746 -0.02061622 0.59926431)
iedge= 14, ipnt= 6 (Z): anal= -1.27256049, fd= -1.27348211, err= 0.00092163 (at 13.42686310 -0.02406514 0.59900064)
iedge= 14, ipnt= 7 (Z): anal= -1.05019685, fd= -1.05199111, err= 0.00179426 (at 13.33457580 -0.02737374 0.59871273)
iedge= 14, ipnt= 8 (Z): anal= -0.76525256, fd= -0.76586728, err= 0.00061472 (at 13.24227619 -0.03054152 0.59840619)
iedge= 14, ipnt= 9 (Z): anal= -0.45596847, fd= -0.45636830, err= 0.00039983 (at 13.14996466 -0.03356563 0.59808726)
iedge= 14, ipnt= 11 (Z): anal= 0.08339437, fd= 0.08327429, err= 0.00012008 (at 12.96530716 -0.03915894 0.59743655)
iedge= 14, ipnt= 12 (Z): anal= 0.25687352, fd= 0.25702529, err= -0.00015178 (at 12.87296185 -0.04170950 0.59711601)
...too many errors to list
iedge= 16, ipnt= 1 (Z): anal= 0.98763322, fd= 0.98797414, err= -0.00034091 (at 14.00000000 -0.02940488 0.59855116)
iedge= 16, ipnt= 2 (Z): anal= 0.95254156, fd= 0.95275088, err= -0.00020933 (at 14.00000000 -0.05852709 0.59423166)
iedge= 16, ipnt= 18 (Z): anal= 0.00945789, fd= 0.00924856, err= 0.00020933 (at 14.00000000 -0.05852709 0.00576834)
d(Edge)/d(fuse) check complete with 39 total errors (errmax= 1.7943e-03)
inode= 10, ipnt= 0 (Z): anal= -0.00099782, fd= -0.00113468, err= 0.00013686 (at 12.23391938 0.28719104 0.21505104)
d(Node)/d(fuse) check complete with 1 total errors (errmax= 1.3686e-04)
*********************************************************
Starting configuration sensitivity wrt "wing[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[1,1]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 2.4838e-08)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 2.1369e-05)
inode= 7, ipnt= 0 (X): anal= 0.45852176, fd= 0.45878311, err= -0.00026135 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.00230398, fd= -0.00218547, err= -0.00011851 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= -0.00024422, fd= 0.00000000, err= -0.00024422 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.45559967, fd= 0.45878311, err= -0.00318344 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.00343228, fd= 0.00218547, err= 0.00124681 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00259723, fd= 0.00000000, err= -0.00259723 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 3.1834e-03)
*********************************************************
Starting configuration sensitivity wrt "wing[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[1,2]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 3.9740e-07)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 6.1540e-05)
inode= 7, ipnt= 0 (X): anal= -1.37556527, fd= -1.37635059, err= 0.00078532 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= 0.00691193, fd= 0.00655644, err= 0.00035549 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00073265, fd= 0.00000000, err= 0.00073265 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 1.36679902, fd= 1.37634801, err= -0.00954899 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.01029683, fd= 0.00655638, err= 0.00374045 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00779168, fd= 0.00000000, err= -0.00779168 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 9.5490e-03)
*********************************************************
Starting configuration sensitivity wrt "wing[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[1,3]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 6.5613e-07)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 3.7317e-05)
inode= 7, ipnt= 0 (X): anal= 0.66739124, fd= 0.66799276, err= -0.00060152 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= 0.22238857, fd= 0.22266425, err= -0.00027568 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.46477119, fd= 0.46533929, err= -0.00056809 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.66017388, fd= 0.66799276, err= -0.00781887 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.21960175, fd= -0.22266425, err= 0.00306250 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.45895941, fd= 0.46533929, err= -0.00637988 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 7.8189e-03)
*********************************************************
Starting configuration sensitivity wrt "wing[1,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[1,4]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 2.6288e-06)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 5.9958e-06)
d(Node)/d(wing) check complete with 0 total errors (errmax= 4.4645e-05)
*********************************************************
Starting configuration sensitivity wrt "wing[1,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[1,5]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 6.9648e-08)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 2.7316e-06)
d(Node)/d(wing) check complete with 0 total errors (errmax= 1.3208e-06)
*********************************************************
Starting configuration sensitivity wrt "wing[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[2,1]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 1.0160e-08)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 2.1304e-05)
inode= 7, ipnt= 0 (X): anal= 0.52682710, fd= 0.52712738, err= -0.00030028 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= -0.00264720, fd= -0.00251103, err= -0.00013616 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= -0.00028060, fd= 0.00000000, err= -0.00028060 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.52346972, fd= 0.52712738, err= -0.00365766 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= 0.00394358, fd= 0.00251103, err= 0.00143254 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= -0.00298413, fd= 0.00000000, err= -0.00298413 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 3.6577e-03)
*********************************************************
Starting configuration sensitivity wrt "wing[2,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[2,2]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 4.5104e-07)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 6.1241e-05)
inode= 7, ipnt= 0 (X): anal= -1.58048130, fd= -1.58138048, err= 0.00089918 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= 0.00794160, fd= 0.00753314, err= 0.00040846 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.00084179, fd= 0.00000000, err= 0.00084179 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= -1.57040916, fd= -1.58138048, err= 0.01097132 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.01183073, fd= -0.00753314, err= -0.00429760 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.00895239, fd= 0.00000000, err= 0.00895239 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 1.0971e-02)
*********************************************************
Starting configuration sensitivity wrt "wing[2,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[2,3]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 9.1506e-07)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 5.0475e-05)
inode= 7, ipnt= 0 (X): anal= 0.76681157, fd= 0.76750334, err= -0.00069177 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Y): anal= 0.25551749, fd= 0.25583445, err= -0.00031696 (at 5.60398146 0.53466049 0.20000000)
inode= 7, ipnt= 0 (Z): anal= 0.53400751, fd= 0.53466074, err= -0.00065323 (at 5.60398146 0.53466049 0.20000000)
inode= 15, ipnt= 0 (X): anal= 0.75851906, fd= 0.76750334, err= -0.00898428 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Y): anal= -0.25231551, fd= -0.25583445, err= 0.00351893 (at 5.60398146 -0.53466049 0.20000000)
inode= 15, ipnt= 0 (Z): anal= 0.52732995, fd= 0.53466074, err= -0.00733079 (at 5.60398146 -0.53466049 0.20000000)
d(Node)/d(wing) check complete with 6 total errors (errmax= 8.9843e-03)
*********************************************************
Starting configuration sensitivity wrt "wing[2,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[2,4]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 1.3308e-05)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 1.8281e-05)
d(Node)/d(wing) check complete with 0 total errors (errmax= 1.7749e-05)
*********************************************************
Starting configuration sensitivity wrt "wing[2,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[2,5]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 1.7589e-07)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 6.6752e-07)
d(Node)/d(wing) check complete with 0 total errors (errmax= 2.6335e-07)
*********************************************************
Starting configuration sensitivity wrt "wing[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[3,1]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 2.8875e-09)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 4.9944e-09)
d(Node)/d(wing) check complete with 0 total errors (errmax= 7.4840e-10)
*********************************************************
Starting configuration sensitivity wrt "wing[3,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[3,2]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 2.1193e-09)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 4.9944e-09)
d(Node)/d(wing) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "wing[3,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[3,3]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 2.0231e-09)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 4.9944e-09)
d(Node)/d(wing) check complete with 0 total errors (errmax= 1.0001e-12)
*********************************************************
Starting configuration sensitivity wrt "wing[3,4]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[3,4]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 1.3221e-05)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 1.8400e-05)
d(Node)/d(wing) check complete with 0 total errors (errmax= 6.8239e-10)
*********************************************************
Starting configuration sensitivity wrt "wing[3,5]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "wing[3,5]" for ibody=84
d(Face)/d(wing) check complete with 0 total errors (errmax= 8.0040e-08)
d(Edge)/d(wing) check complete with 0 total errors (errmax= 3.6069e-08)
d(Node)/d(wing) check complete with 0 total errors (errmax= 7.2188e-10)
*********************************************************
Starting configuration sensitivity wrt "xroot_h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "xroot_h" for ibody=84
d(Face)/d(xroot_h) check complete with 0 total errors (errmax= 5.6904e-09)
d(Edge)/d(xroot_h) check complete with 0 total errors (errmax= 6.3172e-05)
inode= 10, ipnt= 0 (X): anal= 0.99919854, fd= 0.99949179, err= -0.00029325 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= -0.00174797, fd= -0.00108985, err= -0.00065812 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= -0.00229220, fd= -0.00005712, err= -0.00223509 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (X): anal= 0.99959582, fd= 0.99949179, err= 0.00010403 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= 0.00089012, fd= 0.00108985, err= -0.00019973 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= 0.00062090, fd= -0.00005712, err= 0.00067802 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(xroot_h) check complete with 6 total errors (errmax= 2.2351e-03)
*********************************************************
Starting configuration sensitivity wrt "zroot_h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "zroot_h" for ibody=84
d(Face)/d(zroot_h) check complete with 0 total errors (errmax= 1.6697e-06)
d(Edge)/d(zroot_h) check complete with 0 total errors (errmax= 3.7866e-05)
inode= 10, ipnt= 0 (X): anal= 0.13731053, fd= 0.13956264, err= -0.00225211 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Y): anal= 0.29426231, fd= 0.29929304, err= -0.00503074 (at 12.23391938 0.28719104 0.21505104)
inode= 10, ipnt= 0 (Z): anal= 0.99859123, fd= 1.01568528, err= -0.01709405 (at 12.23391938 0.28719104 0.21505104)
inode= 18, ipnt= 0 (X): anal= 0.14049043, fd= 0.13956264, err= 0.00092780 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Y): anal= -0.30107809, fd= -0.29929304, err= -0.00178505 (at 12.23391938 -0.28719104 0.21505104)
inode= 18, ipnt= 0 (Z): anal= 1.02173819, fd= 1.01568528, err= 0.00605291 (at 12.23391938 -0.28719104 0.21505104)
d(Node)/d(zroot_h) check complete with 6 total errors (errmax= 1.7094e-02)
*********************************************************
Starting configuration sensitivity wrt "aroot_h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "aroot_h" for ibody=84
d(Face)/d(aroot_h) check complete with 0 total errors (errmax= 1.3747e-07)
d(Edge)/d(aroot_h) check complete with 0 total errors (errmax= 2.8758e-07)
d(Node)/d(aroot_h) check complete with 0 total errors (errmax= 1.2277e-07)
*********************************************************
Starting configuration sensitivity wrt "area_h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "area_h" for ibody=84
d(Face)/d(area_h) check complete with 0 total errors (errmax= 1.4846e-06)
d(Edge)/d(area_h) check complete with 0 total errors (errmax= 2.5415e-06)
d(Node)/d(area_h) check complete with 0 total errors (errmax= 3.9908e-06)
*********************************************************
Starting configuration sensitivity wrt "taper_h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "taper_h" for ibody=84
d(Face)/d(taper_h) check complete with 0 total errors (errmax= 1.2987e-05)
d(Edge)/d(taper_h) check complete with 0 total errors (errmax= 2.2594e-05)
d(Node)/d(taper_h) check complete with 0 total errors (errmax= 2.9242e-05)
*********************************************************
Starting configuration sensitivity wrt "aspect_h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "aspect_h" for ibody=84
d(Face)/d(aspect_h) check complete with 0 total errors (errmax= 2.9095e-06)
d(Edge)/d(aspect_h) check complete with 0 total errors (errmax= 4.9963e-06)
d(Node)/d(aspect_h) check complete with 0 total errors (errmax= 7.0677e-06)
*********************************************************
Starting configuration sensitivity wrt "sweep_h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "sweep_h" for ibody=84
d(Face)/d(sweep_h) check complete with 0 total errors (errmax= 3.6821e-09)
d(Edge)/d(sweep_h) check complete with 0 total errors (errmax= 3.9015e-07)
d(Node)/d(sweep_h) check complete with 0 total errors (errmax= 1.3639e-05)
*********************************************************
Starting configuration sensitivity wrt "dihed_h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "dihed_h" for ibody=84
d(Face)/d(dihed_h) check complete with 0 total errors (errmax= 2.7227e-09)
d(Edge)/d(dihed_h) check complete with 0 total errors (errmax= 1.8959e-07)
d(Node)/d(dihed_h) check complete with 0 total errors (errmax= 8.5919e-05)
*********************************************************
Starting configuration sensitivity wrt "twist_h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "twist_h" for ibody=84
d(Face)/d(twist_h) check complete with 0 total errors (errmax= 8.1598e-08)
d(Edge)/d(twist_h) check complete with 0 total errors (errmax= 4.8071e-08)
d(Node)/d(twist_h) check complete with 0 total errors (errmax= 9.8698e-09)
*********************************************************
Starting configuration sensitivity wrt "xroot_v"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "xroot_v" for ibody=84
d(Face)/d(xroot_v) check complete with 0 total errors (errmax= 2.4256e-08)
d(Edge)/d(xroot_v) check complete with 0 total errors (errmax= 3.3964e-05)
d(Node)/d(xroot_v) check complete with 0 total errors (errmax= 2.1300e-05)
*********************************************************
Starting configuration sensitivity wrt "zroot_v"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "zroot_v" for ibody=84
d(Face)/d(zroot_v) check complete with 0 total errors (errmax= 2.4202e-08)
d(Edge)/d(zroot_v) check complete with 0 total errors (errmax= 3.3795e-05)
d(Node)/d(zroot_v) check complete with 0 total errors (errmax= 8.2995e-06)
*********************************************************
Starting configuration sensitivity wrt "area_v"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "area_v" for ibody=84
d(Face)/d(area_v) check complete with 0 total errors (errmax= 2.4639e-07)
d(Edge)/d(area_v) check complete with 0 total errors (errmax= 4.0536e-06)
d(Node)/d(area_v) check complete with 0 total errors (errmax= 3.0545e-06)
*********************************************************
Starting configuration sensitivity wrt "taper_v"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "taper_v" for ibody=84
d(Face)/d(taper_v) check complete with 0 total errors (errmax= 3.6070e-06)
d(Edge)/d(taper_v) check complete with 0 total errors (errmax= 5.8368e-05)
d(Node)/d(taper_v) check complete with 0 total errors (errmax= 4.1749e-05)
*********************************************************
Starting configuration sensitivity wrt "aspect_v"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "aspect_v" for ibody=84
d(Face)/d(aspect_v) check complete with 0 total errors (errmax= 7.8968e-07)
d(Edge)/d(aspect_v) check complete with 0 total errors (errmax= 1.2783e-05)
d(Node)/d(aspect_v) check complete with 0 total errors (errmax= 9.2643e-06)
*********************************************************
Starting configuration sensitivity wrt "sweep_v"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=84
Computing finite difference sensitivities for ibody=84
Comparing configuration sensitivities wrt "sweep_v" for ibody=84
d(Face)/d(sweep_v) check complete with 0 total errors (errmax= 2.0235e-09)
d(Edge)/d(sweep_v) check complete with 0 total errors (errmax= 1.2006e-07)
d(Node)/d(sweep_v) check complete with 0 total errors (errmax= 7.4348e-08)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 12.884 sec
Sensitivity checks complete with 598 total errors (max config err= 1.7094e-02) with 0 suppressions
real 7m9.265s
user 13m3.504s
sys 0m50.336s
++++ set +x
data/basic/design9 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 46 / 180 )
data/basic/designA.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designA.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "aa[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "aa[1,1]" for ibody=3
d(Face)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "aa[1,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "aa[1,2]" for ibody=3
d(Face)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "aa[1,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "aa[1,3]" for ibody=3
d(Face)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "aa[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "aa[2,1]" for ibody=3
d(Face)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "aa[2,2]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "aa[2,2]" for ibody=3
d(Face)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "aa[2,3]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "aa[2,3]" for ibody=3
d(Face)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(aa) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.093s
user 0m0.088s
sys 0m0.012s
++++ set +x
data/basic/designA -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 47 / 180 )
data/basic/designB1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "DX" for ibody=19
d(Face)/d(DX) check complete with 0 total errors (errmax= 1.6663e-08)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 6.9017e-08)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9017e-08)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "DY" for ibody=19
d(Face)/d(DY) check complete with 0 total errors (errmax= 8.0749e-08)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.1598e-07)
d(Node)/d(DY) check complete with 0 total errors (errmax= 2.1598e-07)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "DZ" for ibody=19
d(Face)/d(DZ) check complete with 0 total errors (errmax= 5.1398e-10)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 5.1398e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "move" for ibody=19
d(Face)/d(move) check complete with 0 total errors (errmax= 1.6797e-10)
d(Edge)/d(move) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(move) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "rad" for ibody=19
d(Face)/d(rad) check complete with 0 total errors (errmax= 1.8137e-07)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 4.8588e-07)
d(Node)/d(rad) check complete with 0 total errors (errmax= 4.8588e-07)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.053 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions
real 0m2.191s
user 0m2.120s
sys 0m0.956s
++++ set +x
data/basic/designB1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 48 / 180 )
data/basic/designB2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "DX" for ibody=22
d(Face)/d(DX) check complete with 0 total errors (errmax= 1.6663e-08)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 6.9017e-08)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9017e-08)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "DY" for ibody=22
d(Face)/d(DY) check complete with 0 total errors (errmax= 8.0749e-08)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.1598e-07)
d(Node)/d(DY) check complete with 0 total errors (errmax= 2.1598e-07)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "DZ" for ibody=22
d(Face)/d(DZ) check complete with 0 total errors (errmax= 1.6797e-10)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "move" for ibody=22
d(Face)/d(move) check complete with 0 total errors (errmax= 1.6797e-10)
d(Edge)/d(move) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(move) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "rad" for ibody=22
d(Face)/d(rad) check complete with 0 total errors (errmax= 1.8137e-07)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 4.8588e-07)
d(Node)/d(rad) check complete with 0 total errors (errmax= 4.8588e-07)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.058 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8588e-07) with 0 suppressions
real 0m2.102s
user 0m1.944s
sys 0m1.040s
++++ set +x
data/basic/designB2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 49 / 180 )
data/basic/designB3.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=37
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.055 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m1.885s
user 0m1.792s
sys 0m0.940s
++++ set +x
data/basic/designB3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 50 / 180 )
data/basic/designB4.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Computing finite difference sensitivities for ibody=25
Comparing configuration sensitivities wrt "DX" for ibody=25
d(Face)/d(DX) check complete with 0 total errors (errmax= 1.6663e-08)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 6.9017e-08)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9017e-08)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Computing finite difference sensitivities for ibody=25
Comparing configuration sensitivities wrt "DY" for ibody=25
d(Face)/d(DY) check complete with 0 total errors (errmax= 8.0749e-08)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.1621e-07)
d(Node)/d(DY) check complete with 0 total errors (errmax= 2.1643e-07)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Computing finite difference sensitivities for ibody=25
Comparing configuration sensitivities wrt "DZ" for ibody=25
d(Face)/d(DZ) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 5.1398e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 7.7716e-10)
*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Computing finite difference sensitivities for ibody=25
Comparing configuration sensitivities wrt "move" for ibody=25
d(Face)/d(move) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(move) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(move) check complete with 0 total errors (errmax= 3.3307e-10)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Computing finite difference sensitivities for ibody=25
Comparing configuration sensitivities wrt "rad" for ibody=25
d(Face)/d(rad) check complete with 0 total errors (errmax= 1.8137e-07)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 4.8610e-07)
d(Node)/d(rad) check complete with 0 total errors (errmax= 4.8610e-07)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.378 sec
Sensitivity checks complete with 0 total errors (max config err= 4.8610e-07) with 0 suppressions
real 0m3.924s
user 0m4.164s
sys 0m1.076s
++++ set +x
data/basic/designB4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 51 / 180 )
data/basic/designB5.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designB5.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34
Comparing configuration sensitivities wrt "DX" for ibody=34
d(Face)/d(DX) check complete with 0 total errors (errmax= 4.3111e-08)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 6.9017e-08)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9239e-08)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34
Comparing configuration sensitivities wrt "DY" for ibody=34
d(Face)/d(DY) check complete with 0 total errors (errmax= 8.0688e-08)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.1665e-07)
d(Node)/d(DY) check complete with 0 total errors (errmax= 2.1643e-07)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34
Comparing configuration sensitivities wrt "DZ" for ibody=34
d(Face)/d(DZ) check complete with 0 total errors (errmax= 1.3323e-09)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 6.6613e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 6.6613e-10)
*********************************************************
Starting configuration sensitivity wrt "move"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34
Comparing configuration sensitivities wrt "move" for ibody=34
d(Face)/d(move) check complete with 0 total errors (errmax= 1.3323e-09)
d(Edge)/d(move) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(move) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "bump"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34
Comparing configuration sensitivities wrt "bump" for ibody=34
d(Face)/d(bump) check complete with 0 total errors (errmax= 3.2238e-07)
d(Edge)/d(bump) check complete with 0 total errors (errmax= 7.2546e-07)
d(Node)/d(bump) check complete with 0 total errors (errmax= 8.6451e-07)
*********************************************************
Starting configuration sensitivity wrt "rotn"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34
Comparing configuration sensitivities wrt "rotn" for ibody=34
d(Face)/d(rotn) check complete with 0 total errors (errmax= 1.8412e-09)
d(Edge)/d(rotn) check complete with 0 total errors (errmax= 1.0757e-09)
d(Node)/d(rotn) check complete with 0 total errors (errmax= 7.0017e-10)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=34
Computing finite difference sensitivities for ibody=34
Comparing configuration sensitivities wrt "rad" for ibody=34
d(Face)/d(rad) check complete with 0 total errors (errmax= 1.8137e-07)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 4.8610e-07)
d(Node)/d(rad) check complete with 0 total errors (errmax= 4.8610e-07)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.725 sec
Sensitivity checks complete with 0 total errors (max config err= 8.6451e-07) with 0 suppressions
real 0m7.235s
user 0m7.920s
sys 0m1.596s
++++ set +x
data/basic/designB5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 52 / 180 )
data/basic/designC0.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbeg" for ibody=1
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybeg" for ibody=1
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbeg" for ibody=1
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xsize" for ibody=1
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ysize" for ibody=1
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zsize" for ibody=1
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.144s
user 0m0.152s
sys 0m0.008s
++++ set +x
data/basic/designC0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 53 / 180 )
data/basic/designC1a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC1a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbeg" for ibody=1
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 2.8331e-10)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybeg" for ibody=1
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 3.1336e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 3.1226e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 2.5401e-16)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbeg" for ibody=1
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 3.1109e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.1598e-08)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 3.1391e-08)
*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xend" for ibody=1
d(Face)/d(xend) check complete with 0 total errors (errmax= 2.8331e-10)
d(Edge)/d(xend) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xend) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yend" for ibody=1
d(Face)/d(yend) check complete with 0 total errors (errmax= 3.1307e-08)
d(Edge)/d(yend) check complete with 0 total errors (errmax= 3.1226e-08)
d(Node)/d(yend) check complete with 0 total errors (errmax= 2.2204e-16)
*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zend" for ibody=1
d(Face)/d(zend) check complete with 0 total errors (errmax= 3.1025e-08)
d(Edge)/d(zend) check complete with 0 total errors (errmax= 3.1361e-08)
d(Node)/d(zend) check complete with 0 total errors (errmax= 3.1197e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
d(Face)/d(rad) check complete with 0 total errors (errmax= 3.3885e-10)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 2.9081e-10)
d(Node)/d(rad) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.016 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.244s
user 0m0.296s
sys 0m0.004s
++++ set +x
data/basic/designC1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 54 / 180 )
data/basic/designC1b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbeg" for ibody=1
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 2.8331e-10)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybeg" for ibody=1
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 3.1307e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 3.1226e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbeg" for ibody=1
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 3.1025e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.1361e-08)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 3.1197e-08)
*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xend" for ibody=1
d(Face)/d(xend) check complete with 0 total errors (errmax= 2.8331e-10)
d(Edge)/d(xend) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(xend) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yend" for ibody=1
d(Face)/d(yend) check complete with 0 total errors (errmax= 3.1336e-08)
d(Edge)/d(yend) check complete with 0 total errors (errmax= 3.1226e-08)
d(Node)/d(yend) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zend" for ibody=1
d(Face)/d(zend) check complete with 0 total errors (errmax= 3.1109e-08)
d(Edge)/d(zend) check complete with 0 total errors (errmax= 3.1598e-08)
d(Node)/d(zend) check complete with 0 total errors (errmax= 3.1391e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
d(Face)/d(rad) check complete with 0 total errors (errmax= 3.3885e-10)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 2.9081e-10)
d(Node)/d(rad) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.013 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.203s
user 0m0.264s
sys 0m0.016s
++++ set +x
data/basic/designC1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 55 / 180 )
data/basic/designC2a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC2a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbeg" for ibody=1
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 3.1519e-08)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybeg" for ibody=1
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.9873e-10)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbeg" for ibody=1
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 3.0929e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.1384e-08)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xend" for ibody=1
d(Face)/d(xend) check complete with 0 total errors (errmax= 3.1598e-08)
d(Edge)/d(xend) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(xend) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yend" for ibody=1
d(Face)/d(yend) check complete with 0 total errors (errmax= 2.9873e-10)
d(Edge)/d(yend) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(yend) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zend" for ibody=1
d(Face)/d(zend) check complete with 0 total errors (errmax= 3.0912e-08)
d(Edge)/d(zend) check complete with 0 total errors (errmax= 3.1352e-08)
d(Node)/d(zend) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
d(Face)/d(rad) check complete with 0 total errors (errmax= 3.5427e-10)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 2.9259e-10)
d(Node)/d(rad) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.016 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.222s
user 0m0.272s
sys 0m0.004s
++++ set +x
data/basic/designC2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 56 / 180 )
data/basic/designC2b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC2b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbeg" for ibody=1
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 3.1598e-08)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybeg" for ibody=1
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.9873e-10)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbeg" for ibody=1
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 3.0912e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.1352e-08)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xend" for ibody=1
d(Face)/d(xend) check complete with 0 total errors (errmax= 3.1519e-08)
d(Edge)/d(xend) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(xend) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yend" for ibody=1
d(Face)/d(yend) check complete with 0 total errors (errmax= 2.9873e-10)
d(Edge)/d(yend) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(yend) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zend" for ibody=1
d(Face)/d(zend) check complete with 0 total errors (errmax= 3.0929e-08)
d(Edge)/d(zend) check complete with 0 total errors (errmax= 3.1384e-08)
d(Node)/d(zend) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
d(Face)/d(rad) check complete with 0 total errors (errmax= 3.5427e-10)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 2.9259e-10)
d(Node)/d(rad) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.012 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.181s
user 0m0.220s
sys 0m0.000s
++++ set +x
data/basic/designC2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 57 / 180 )
data/basic/designC3a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC3a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbeg" for ibody=1
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 3.0929e-08)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 3.1384e-08)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybeg" for ibody=1
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 3.1519e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbeg" for ibody=1
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.9873e-10)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xend" for ibody=1
d(Face)/d(xend) check complete with 0 total errors (errmax= 3.0912e-08)
d(Edge)/d(xend) check complete with 0 total errors (errmax= 3.1352e-08)
d(Node)/d(xend) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yend" for ibody=1
d(Face)/d(yend) check complete with 0 total errors (errmax= 3.1598e-08)
d(Edge)/d(yend) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(yend) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zend" for ibody=1
d(Face)/d(zend) check complete with 0 total errors (errmax= 2.9873e-10)
d(Edge)/d(zend) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(zend) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
d(Face)/d(rad) check complete with 0 total errors (errmax= 3.5427e-10)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 2.9259e-10)
d(Node)/d(rad) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.016 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.241s
user 0m0.292s
sys 0m0.000s
++++ set +x
data/basic/designC3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 58 / 180 )
data/basic/designC3b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC3b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbeg" for ibody=1
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 3.0912e-08)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 3.1352e-08)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybeg" for ibody=1
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 3.1598e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbeg" for ibody=1
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.9873e-10)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xend" for ibody=1
d(Face)/d(xend) check complete with 0 total errors (errmax= 3.0929e-08)
d(Edge)/d(xend) check complete with 0 total errors (errmax= 3.1384e-08)
d(Node)/d(xend) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "yend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yend" for ibody=1
d(Face)/d(yend) check complete with 0 total errors (errmax= 3.1519e-08)
d(Edge)/d(yend) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(yend) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "zend"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zend" for ibody=1
d(Face)/d(zend) check complete with 0 total errors (errmax= 2.9873e-10)
d(Edge)/d(zend) check complete with 0 total errors (errmax= 2.2204e-10)
d(Node)/d(zend) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
d(Face)/d(rad) check complete with 0 total errors (errmax= 3.5427e-10)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 2.9259e-10)
d(Node)/d(rad) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.016 sec
Sensitivity checks complete with 0 total errors (max config err= 3.1598e-08) with 0 suppressions
real 0m0.248s
user 0m0.316s
sys 0m0.000s
++++ set +x
data/basic/designC3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 59 / 180 )
data/basic/designC4a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC4a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xvrtx" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Y): anal= -0.00105855, fd= 0.00036036, err= -0.00141891 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Z): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 183 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Y): anal= -0.00210690, fd= 0.00071724, err= -0.00282415 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Z): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 184 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Y): anal= -0.00313497, fd= 0.00106722, err= -0.00420219 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Z): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 185 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 5.93750000 -0.37670400 0.09055609)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 2.03125000 0.00076576 0.99222512)
iface= 2, ipnt= 245 (Z): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 2.03125000 0.00152414 0.99233761)
iface= 2, ipnt= 246 (Z): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 2.03125000 0.00226785 0.99252390)
iface= 2, ipnt= 247 (Z): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 2.03125000 0.00298971 0.99278219)
iface= 2, ipnt= 248 (Z): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 2.03125000 0.00368279 0.99310999)
iface= 2, ipnt= 254 (Y): anal= -0.20578838, fd= -0.20588971, err= 0.00010132 (at 2.03125000 0.00689001 0.99631721)
iface= 2, ipnt= 255 (Y): anal= -0.21557897, fd= -0.21568511, err= 0.00010614 (at 2.03125000 0.00721781 0.99701029)
iface= 2, ipnt= 256 (Y): anal= -0.22329341, fd= -0.22340335, err= 0.00010994 (at 2.03125000 0.00747610 0.99773215)
iface= 2, ipnt= 257 (Y): anal= -0.22885741, fd= -0.22897009, err= 0.00011268 (at 2.03125000 0.00766239 0.99847586)
iface= 2, ipnt= 258 (Y): anal= -0.23221739, fd= -0.23233173, err= 0.00011434 (at 2.03125000 0.00777488 0.99923424)
...too many errors to list
d(Face)/d(xvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (Y): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 2 (Y): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 3 (Y): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 4 (Y): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 6.00000000 -0.47139674 1.88192126)
iedge= 1, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 6.00000000 -0.47139674 1.88192126)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.23334099, fd= -0.23345588, err= 0.00011489 (at 2.03125000 0.00000000 1.00781250)
iedge= 2, ipnt= 4 (Z): anal= -0.23138787, fd= -0.23161765, err= 0.00022978 (at 2.06250000 0.00000000 1.01562500)
iedge= 2, ipnt= 5 (Z): anal= -0.22943474, fd= -0.22977941, err= 0.00034467 (at 2.09375000 0.00000000 1.02343750)
iedge= 2, ipnt= 6 (X): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 2.12500000 0.00000000 1.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.22748162, fd= -0.22794118, err= 0.00045956 (at 2.12500000 0.00000000 1.03125000)
iedge= 2, ipnt= 7 (X): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 2.15625000 0.00000000 1.03906250)
iedge= 2, ipnt= 7 (Z): anal= -0.22552849, fd= -0.22610294, err= 0.00057445 (at 2.15625000 0.00000000 1.03906250)
iedge= 2, ipnt= 8 (X): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 2.18750000 0.00000000 1.04687500)
iedge= 2, ipnt= 8 (Z): anal= -0.22357537, fd= -0.22426471, err= 0.00068934 (at 2.18750000 0.00000000 1.04687500)
iedge= 2, ipnt= 9 (X): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 2.21875000 0.00000000 1.05468750)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.23334099, fd= 0.23345588, err= -0.00011489 (at 2.03125000 -0.00000000 0.99218750)
iedge= 4, ipnt= 4 (Z): anal= 0.23138787, fd= 0.23161765, err= -0.00022978 (at 2.06250000 -0.00000000 0.98437500)
iedge= 4, ipnt= 5 (Z): anal= 0.22943474, fd= 0.22977941, err= -0.00034467 (at 2.09375000 -0.00000000 0.97656250)
iedge= 4, ipnt= 6 (X): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 2.12500000 -0.00000000 0.96875000)
iedge= 4, ipnt= 6 (Z): anal= 0.22748162, fd= 0.22794118, err= -0.00045956 (at 2.12500000 -0.00000000 0.96875000)
iedge= 4, ipnt= 7 (X): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 2.15625000 -0.00000000 0.96093750)
iedge= 4, ipnt= 7 (Z): anal= 0.22552849, fd= 0.22610294, err= -0.00057445 (at 2.15625000 -0.00000000 0.96093750)
iedge= 4, ipnt= 8 (X): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 2.18750000 -0.00000000 0.95312500)
iedge= 4, ipnt= 8 (Z): anal= 0.22357537, fd= 0.22426471, err= -0.00068934 (at 2.18750000 -0.00000000 0.95312500)
iedge= 4, ipnt= 9 (X): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 2.21875000 -0.00000000 0.94531250)
...too many errors to list
iedge= 6, ipnt= 1 (Y): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 2 (Y): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 3 (Y): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 4 (Y): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 6.00000000 0.47139674 0.11807874)
iedge= 6, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 6.00000000 0.47139674 0.11807874)
...too many errors to list
d(Edge)/d(xvrtx) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= -0.01562500, fd= 0.00000000, err= -0.01562500 (at 6.00000000 -0.00000000 0.00000000)
inode= 2, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 6.00000000 0.00000000 2.00000000)
d(Node)/d(xvrtx) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yvrtx" for ibody=1
d(Face)/d(yvrtx) check complete with 0 total errors (errmax= 2.8740e-08)
d(Edge)/d(yvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
d(Node)/d(yvrtx) check complete with 0 total errors (errmax= 2.5401e-16)
*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zvrtx" for ibody=1
d(Face)/d(zvrtx) check complete with 0 total errors (errmax= 2.8381e-08)
d(Edge)/d(zvrtx) check complete with 0 total errors (errmax= 3.0788e-08)
d(Node)/d(zvrtx) check complete with 0 total errors (errmax= 3.1086e-08)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbase" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Y): anal= 0.02412141, fd= 0.02270250, err= 0.00141891 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Z): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 183 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Y): anal= 0.04801051, fd= 0.04518636, err= 0.00282415 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Z): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 184 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Y): anal= 0.07143724, fd= 0.06723505, err= 0.00420219 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Z): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 185 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 5.93750000 -0.37670400 0.09055609)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 2.03125000 0.00076576 0.99222512)
iface= 2, ipnt= 245 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 2.03125000 0.00152414 0.99233761)
iface= 2, ipnt= 246 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 2.03125000 0.00226785 0.99252390)
iface= 2, ipnt= 247 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 2.03125000 0.00298971 0.99278219)
iface= 2, ipnt= 248 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 2.03125000 0.00368279 0.99310999)
iface= 2, ipnt= 254 (Y): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 2.03125000 0.00689001 0.99631721)
iface= 2, ipnt= 255 (Y): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 2.03125000 0.00721781 0.99701029)
iface= 2, ipnt= 256 (Y): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 2.03125000 0.00747610 0.99773215)
iface= 2, ipnt= 257 (Y): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 2.03125000 0.00766239 0.99847586)
iface= 2, ipnt= 258 (Y): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 2.03125000 0.00777488 0.99923424)
...too many errors to list
d(Face)/d(xbase) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (Y): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 2 (Y): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 3 (Y): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 4 (Y): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 6.00000000 -0.47139674 1.88192126)
iedge= 1, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 6.00000000 -0.47139674 1.88192126)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 2.03125000 0.00000000 1.00781250)
iedge= 2, ipnt= 4 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 2.06250000 0.00000000 1.01562500)
iedge= 2, ipnt= 5 (Z): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 2.09375000 0.00000000 1.02343750)
iedge= 2, ipnt= 6 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 2.12500000 0.00000000 1.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 2.12500000 0.00000000 1.03125000)
iedge= 2, ipnt= 7 (X): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 2.15625000 0.00000000 1.03906250)
iedge= 2, ipnt= 7 (Z): anal= -0.00976563, fd= -0.00919118, err= -0.00057445 (at 2.15625000 0.00000000 1.03906250)
iedge= 2, ipnt= 8 (X): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 2.18750000 0.00000000 1.04687500)
iedge= 2, ipnt= 8 (Z): anal= -0.01171875, fd= -0.01102941, err= -0.00068934 (at 2.18750000 0.00000000 1.04687500)
iedge= 2, ipnt= 9 (X): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 2.21875000 0.00000000 1.05468750)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 2.03125000 -0.00000000 0.99218750)
iedge= 4, ipnt= 4 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 2.06250000 -0.00000000 0.98437500)
iedge= 4, ipnt= 5 (Z): anal= 0.00585938, fd= 0.00551471, err= 0.00034467 (at 2.09375000 -0.00000000 0.97656250)
iedge= 4, ipnt= 6 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 2.12500000 -0.00000000 0.96875000)
iedge= 4, ipnt= 6 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 2.12500000 -0.00000000 0.96875000)
iedge= 4, ipnt= 7 (X): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 2.15625000 -0.00000000 0.96093750)
iedge= 4, ipnt= 7 (Z): anal= 0.00976563, fd= 0.00919118, err= 0.00057445 (at 2.15625000 -0.00000000 0.96093750)
iedge= 4, ipnt= 8 (X): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 2.18750000 -0.00000000 0.95312500)
iedge= 4, ipnt= 8 (Z): anal= 0.01171875, fd= 0.01102941, err= 0.00068934 (at 2.18750000 -0.00000000 0.95312500)
iedge= 4, ipnt= 9 (X): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 2.21875000 -0.00000000 0.94531250)
...too many errors to list
iedge= 6, ipnt= 1 (Y): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 2 (Y): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 3 (Y): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 4 (Y): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 6.00000000 0.47139674 0.11807874)
iedge= 6, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 6.00000000 0.47139674 0.11807874)
...too many errors to list
d(Edge)/d(xbase) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 6.00000000 -0.00000000 0.00000000)
inode= 2, ipnt= 0 (Z): anal= -0.01562500, fd= 0.00000000, err= -0.01562500 (at 6.00000000 0.00000000 2.00000000)
d(Node)/d(xbase) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybase" for ibody=1
d(Face)/d(ybase) check complete with 0 total errors (errmax= 2.8713e-08)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 3.1226e-08)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.2204e-16)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbase" for ibody=1
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.8220e-08)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0869e-08)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 3.1115e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Y): anal= -0.09648562, fd= -0.09081000, err= -0.00567562 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 182 (Z): anal= -0.97963497, fd= -0.92200938, err= -0.05762559 (at 5.93750000 -0.09648562 0.02036503)
iface= 1, ipnt= 183 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Y): anal= -0.19204204, fd= -0.18074545, err= -0.01129659 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 183 (Z): anal= -0.96546051, fd= -0.90866872, err= -0.05679179 (at 5.93750000 -0.19204204 0.03453949)
iface= 1, ipnt= 184 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Y): anal= -0.28574898, fd= -0.26894022, err= -0.01680876 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 184 (Z): anal= -0.94198814, fd= -0.88657708, err= -0.05541107 (at 5.93750000 -0.28574898 0.05801186)
iface= 1, ipnt= 185 (X): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 5.93750000 -0.37670400 0.09055609)
...too many errors to list
iface= 2, ipnt= 182 (Z): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 2.00781250 0.00019144 0.99805628)
iface= 2, ipnt= 183 (Z): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 2.00781250 0.00038104 0.99808440)
iface= 2, ipnt= 184 (Z): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 2.00781250 0.00056696 0.99813098)
iface= 2, ipnt= 185 (Z): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 2.00781250 0.00074743 0.99819555)
iface= 2, ipnt= 186 (Z): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 2.00781250 0.00092070 0.99827750)
iface= 2, ipnt= 192 (Y): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 2.00781250 0.00172250 0.99907930)
iface= 2, ipnt= 193 (Y): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 2.00781250 0.00180445 0.99925257)
iface= 2, ipnt= 194 (Y): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 2.00781250 0.00186902 0.99943304)
iface= 2, ipnt= 195 (Y): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 2.00781250 0.00191560 0.99961896)
iface= 2, ipnt= 196 (Y): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 2.00781250 0.00194372 0.99980856)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
iedge= 1, ipnt= 1 (Y): anal= -0.10414321, fd= -0.09801714, err= -0.00612607 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 1 (Z): anal= 1.05738377, fd= 0.99518473, err= 0.06219905 (at 6.00000000 -0.09801714 1.99518473)
iedge= 1, ipnt= 2 (Y): anal= -0.20728347, fd= -0.19509032, err= -0.01219315 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 2 (Z): anal= 1.04208436, fd= 0.98078528, err= 0.06129908 (at 6.00000000 -0.19509032 1.98078528)
iedge= 1, ipnt= 3 (Y): anal= -0.30842747, fd= -0.29028468, err= -0.01814279 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 3 (Z): anal= 1.01674911, fd= 0.95694034, err= 0.05980877 (at 6.00000000 -0.29028468 1.95694034)
iedge= 1, ipnt= 4 (Y): anal= -0.40660115, fd= -0.38268343, err= -0.02391771 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 4 (Z): anal= 0.98162200, fd= 0.92387953, err= 0.05774247 (at 6.00000000 -0.38268343 1.92387953)
iedge= 1, ipnt= 5 (Y): anal= -0.50085903, fd= -0.47139674, err= -0.02946230 (at 6.00000000 -0.47139674 1.88192126)
iedge= 1, ipnt= 5 (Z): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (at 6.00000000 -0.47139674 1.88192126)
...too many errors to list
iedge= 2, ipnt= 1 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 2.00781250 0.00000000 1.00195312)
iedge= 2, ipnt= 2 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 2.01562500 0.00000000 1.00390625)
iedge= 2, ipnt= 3 (X): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 2.03125000 0.00000000 1.00781250)
iedge= 2, ipnt= 3 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 2.03125000 0.00000000 1.00781250)
iedge= 2, ipnt= 4 (X): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 2.06250000 0.00000000 1.01562500)
iedge= 2, ipnt= 4 (Z): anal= 0.01562500, fd= 0.01470588, err= 0.00091912 (at 2.06250000 0.00000000 1.01562500)
iedge= 2, ipnt= 5 (X): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 2.09375000 0.00000000 1.02343750)
iedge= 2, ipnt= 5 (Z): anal= 0.02343750, fd= 0.02205882, err= 0.00137868 (at 2.09375000 0.00000000 1.02343750)
iedge= 2, ipnt= 6 (X): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 2.12500000 0.00000000 1.03125000)
iedge= 2, ipnt= 6 (Z): anal= 0.03125000, fd= 0.02941176, err= 0.00183824 (at 2.12500000 0.00000000 1.03125000)
...too many errors to list
iedge= 4, ipnt= 1 (Z): anal= -0.00195313, fd= -0.00183824, err= -0.00011489 (at 2.00781250 -0.00000000 0.99804687)
iedge= 4, ipnt= 2 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 2.01562500 -0.00000000 0.99609375)
iedge= 4, ipnt= 3 (X): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 2.03125000 -0.00000000 0.99218750)
iedge= 4, ipnt= 3 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 2.03125000 -0.00000000 0.99218750)
iedge= 4, ipnt= 4 (X): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 2.06250000 -0.00000000 0.98437500)
iedge= 4, ipnt= 4 (Z): anal= -0.01562500, fd= -0.01470588, err= -0.00091912 (at 2.06250000 -0.00000000 0.98437500)
iedge= 4, ipnt= 5 (X): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 2.09375000 -0.00000000 0.97656250)
iedge= 4, ipnt= 5 (Z): anal= -0.02343750, fd= -0.02205882, err= -0.00137868 (at 2.09375000 -0.00000000 0.97656250)
iedge= 4, ipnt= 6 (X): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 2.12500000 -0.00000000 0.96875000)
iedge= 4, ipnt= 6 (Z): anal= -0.03125000, fd= -0.02941176, err= -0.00183824 (at 2.12500000 -0.00000000 0.96875000)
...too many errors to list
iedge= 6, ipnt= 1 (Y): anal= 0.10414321, fd= 0.09801714, err= 0.00612607 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 1 (Z): anal= -1.05738377, fd= -0.99518473, err= -0.06219905 (at 6.00000000 0.09801714 0.00481527)
iedge= 6, ipnt= 2 (Y): anal= 0.20728347, fd= 0.19509032, err= 0.01219315 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 2 (Z): anal= -1.04208436, fd= -0.98078528, err= -0.06129908 (at 6.00000000 0.19509032 0.01921472)
iedge= 6, ipnt= 3 (Y): anal= 0.30842747, fd= 0.29028468, err= 0.01814279 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 3 (Z): anal= -1.01674911, fd= -0.95694034, err= -0.05980877 (at 6.00000000 0.29028468 0.04305966)
iedge= 6, ipnt= 4 (Y): anal= 0.40660115, fd= 0.38268343, err= 0.02391771 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 4 (Z): anal= -0.98162200, fd= -0.92387953, err= -0.05774247 (at 6.00000000 0.38268343 0.07612047)
iedge= 6, ipnt= 5 (Y): anal= 0.50085903, fd= 0.47139674, err= 0.02946230 (at 6.00000000 0.47139674 0.11807874)
iedge= 6, ipnt= 5 (Z): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (at 6.00000000 0.47139674 0.11807874)
...too many errors to list
d(Edge)/d(rad) check complete with 414 total errors (errmax= 6.2500e-02)
inode= 1, ipnt= 0 (Z): anal= -1.06250000, fd= -1.00000000, err= -0.06250000 (at 6.00000000 -0.00000000 0.00000000)
inode= 2, ipnt= 0 (Z): anal= 1.06250000, fd= 1.00000000, err= 0.06250000 (at 6.00000000 0.00000000 2.00000000)
d(Node)/d(rad) check complete with 2 total errors (errmax= 6.2500e-02)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.026 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.233s
user 0m0.224s
sys 0m0.012s
++++ set +x
data/basic/designC4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 60 / 180 )
data/basic/designC4b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC4b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xvrtx" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Y): anal= 0.00105855, fd= -0.00036036, err= 0.00141891 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Z): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 183 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Y): anal= 0.00210690, fd= -0.00071724, err= 0.00282415 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Z): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 184 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Y): anal= 0.00313497, fd= -0.00106722, err= 0.00420219 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Z): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 185 (X): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 2.06250000 -0.37670400 1.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 5.96875000 0.00076576 1.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 5.96875000 0.00152414 1.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 5.96875000 0.00226785 1.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 5.96875000 0.00298971 1.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 5.96875000 0.00368279 1.00689001)
iface= 2, ipnt= 254 (Y): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 5.96875000 0.00689001 1.00368279)
iface= 2, ipnt= 255 (Y): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 5.96875000 0.00721781 1.00298971)
iface= 2, ipnt= 256 (Y): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 5.96875000 0.00747610 1.00226785)
iface= 2, ipnt= 257 (Y): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 5.96875000 0.00766239 1.00152414)
iface= 2, ipnt= 258 (Y): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 5.96875000 0.00777488 1.00076576)
...too many errors to list
d(Face)/d(xvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (Y): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 2.00000000 -0.09801714 0.00481527)
iedge= 1, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 2.00000000 -0.09801714 0.00481527)
iedge= 1, ipnt= 2 (Y): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 2.00000000 -0.19509032 0.01921472)
iedge= 1, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 2.00000000 -0.19509032 0.01921472)
iedge= 1, ipnt= 3 (Y): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 2.00000000 -0.29028468 0.04305966)
iedge= 1, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 2.00000000 -0.29028468 0.04305966)
iedge= 1, ipnt= 4 (Y): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 2.00000000 -0.38268343 0.07612047)
iedge= 1, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 2.00000000 -0.38268343 0.07612047)
iedge= 1, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 2.00000000 -0.47139674 0.11807874)
iedge= 1, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 2.00000000 -0.47139674 0.11807874)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.23334099, fd= -0.23345588, err= 0.00011489 (at 5.96875000 0.00000000 0.99218750)
iedge= 2, ipnt= 4 (Z): anal= -0.23138787, fd= -0.23161765, err= 0.00022978 (at 5.93750000 0.00000000 0.98437500)
iedge= 2, ipnt= 5 (Z): anal= -0.22943474, fd= -0.22977941, err= 0.00034467 (at 5.90625000 0.00000000 0.97656250)
iedge= 2, ipnt= 6 (X): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 5.87500000 0.00000000 0.96875000)
iedge= 2, ipnt= 6 (Z): anal= -0.22748162, fd= -0.22794118, err= 0.00045956 (at 5.87500000 0.00000000 0.96875000)
iedge= 2, ipnt= 7 (X): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 5.84375000 0.00000000 0.96093750)
iedge= 2, ipnt= 7 (Z): anal= -0.22552849, fd= -0.22610294, err= 0.00057445 (at 5.84375000 0.00000000 0.96093750)
iedge= 2, ipnt= 8 (X): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 5.81250000 0.00000000 0.95312500)
iedge= 2, ipnt= 8 (Z): anal= -0.22357537, fd= -0.22426471, err= 0.00068934 (at 5.81250000 0.00000000 0.95312500)
iedge= 2, ipnt= 9 (X): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 5.78125000 0.00000000 0.94531250)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.23334099, fd= 0.23345588, err= -0.00011489 (at 5.96875000 -0.00000000 1.00781250)
iedge= 4, ipnt= 4 (Z): anal= 0.23138787, fd= 0.23161765, err= -0.00022978 (at 5.93750000 -0.00000000 1.01562500)
iedge= 4, ipnt= 5 (Z): anal= 0.22943474, fd= 0.22977941, err= -0.00034467 (at 5.90625000 -0.00000000 1.02343750)
iedge= 4, ipnt= 6 (X): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 5.87500000 -0.00000000 1.03125000)
iedge= 4, ipnt= 6 (Z): anal= 0.22748162, fd= 0.22794118, err= -0.00045956 (at 5.87500000 -0.00000000 1.03125000)
iedge= 4, ipnt= 7 (X): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 5.84375000 -0.00000000 1.03906250)
iedge= 4, ipnt= 7 (Z): anal= 0.22552849, fd= 0.22610294, err= -0.00057445 (at 5.84375000 -0.00000000 1.03906250)
iedge= 4, ipnt= 8 (X): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 5.81250000 -0.00000000 1.04687500)
iedge= 4, ipnt= 8 (Z): anal= 0.22357537, fd= 0.22426471, err= -0.00068934 (at 5.81250000 -0.00000000 1.04687500)
iedge= 4, ipnt= 9 (X): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 5.78125000 -0.00000000 1.05468750)
...too many errors to list
iedge= 6, ipnt= 1 (Y): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 2.00000000 0.09801714 1.99518473)
iedge= 6, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 2.00000000 0.09801714 1.99518473)
iedge= 6, ipnt= 2 (Y): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 2.00000000 0.19509032 1.98078528)
iedge= 6, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 2.00000000 0.19509032 1.98078528)
iedge= 6, ipnt= 3 (Y): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 2.00000000 0.29028468 1.95694034)
iedge= 6, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 2.00000000 0.29028468 1.95694034)
iedge= 6, ipnt= 4 (Y): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 2.00000000 0.38268343 1.92387953)
iedge= 6, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 2.00000000 0.38268343 1.92387953)
iedge= 6, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 2.00000000 0.47139674 1.88192126)
iedge= 6, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 2.00000000 0.47139674 1.88192126)
...too many errors to list
d(Edge)/d(xvrtx) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= -0.01562500, fd= 0.00000000, err= -0.01562500 (at 2.00000000 -0.00000000 2.00000000)
inode= 2, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 2.00000000 0.00000000 0.00000000)
d(Node)/d(xvrtx) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yvrtx" for ibody=1
d(Face)/d(yvrtx) check complete with 0 total errors (errmax= 2.8844e-08)
d(Edge)/d(yvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
d(Node)/d(yvrtx) check complete with 0 total errors (errmax= 2.2204e-16)
*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zvrtx" for ibody=1
d(Face)/d(zvrtx) check complete with 0 total errors (errmax= 2.8278e-08)
d(Edge)/d(zvrtx) check complete with 0 total errors (errmax= 3.0788e-08)
d(Node)/d(zvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbase" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.02412141, fd= -0.02270250, err= -0.00141891 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 183 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.04801051, fd= -0.04518636, err= -0.00282415 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 184 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.07143724, fd= -0.06723505, err= -0.00420219 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 185 (X): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 2.06250000 -0.37670400 1.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 5.96875000 0.00076576 1.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 5.96875000 0.00152414 1.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 5.96875000 0.00226785 1.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 5.96875000 0.00298971 1.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 5.96875000 0.00368279 1.00689001)
iface= 2, ipnt= 254 (Y): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 5.96875000 0.00689001 1.00368279)
iface= 2, ipnt= 255 (Y): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 5.96875000 0.00721781 1.00298971)
iface= 2, ipnt= 256 (Y): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 5.96875000 0.00747610 1.00226785)
iface= 2, ipnt= 257 (Y): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 5.96875000 0.00766239 1.00152414)
iface= 2, ipnt= 258 (Y): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 5.96875000 0.00777488 1.00076576)
...too many errors to list
d(Face)/d(xbase) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (Y): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 2.00000000 -0.09801714 0.00481527)
iedge= 1, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 2.00000000 -0.09801714 0.00481527)
iedge= 1, ipnt= 2 (Y): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 2.00000000 -0.19509032 0.01921472)
iedge= 1, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 2.00000000 -0.19509032 0.01921472)
iedge= 1, ipnt= 3 (Y): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 2.00000000 -0.29028468 0.04305966)
iedge= 1, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 2.00000000 -0.29028468 0.04305966)
iedge= 1, ipnt= 4 (Y): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 2.00000000 -0.38268343 0.07612047)
iedge= 1, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 2.00000000 -0.38268343 0.07612047)
iedge= 1, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 2.00000000 -0.47139674 0.11807874)
iedge= 1, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 2.00000000 -0.47139674 0.11807874)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 5.96875000 0.00000000 0.99218750)
iedge= 2, ipnt= 4 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 5.93750000 0.00000000 0.98437500)
iedge= 2, ipnt= 5 (Z): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 5.90625000 0.00000000 0.97656250)
iedge= 2, ipnt= 6 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 5.87500000 0.00000000 0.96875000)
iedge= 2, ipnt= 6 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 5.87500000 0.00000000 0.96875000)
iedge= 2, ipnt= 7 (X): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 5.84375000 0.00000000 0.96093750)
iedge= 2, ipnt= 7 (Z): anal= -0.00976563, fd= -0.00919118, err= -0.00057445 (at 5.84375000 0.00000000 0.96093750)
iedge= 2, ipnt= 8 (X): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 5.81250000 0.00000000 0.95312500)
iedge= 2, ipnt= 8 (Z): anal= -0.01171875, fd= -0.01102941, err= -0.00068934 (at 5.81250000 0.00000000 0.95312500)
iedge= 2, ipnt= 9 (X): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 5.78125000 0.00000000 0.94531250)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 5.96875000 -0.00000000 1.00781250)
iedge= 4, ipnt= 4 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 5.93750000 -0.00000000 1.01562500)
iedge= 4, ipnt= 5 (Z): anal= 0.00585938, fd= 0.00551471, err= 0.00034467 (at 5.90625000 -0.00000000 1.02343750)
iedge= 4, ipnt= 6 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 5.87500000 -0.00000000 1.03125000)
iedge= 4, ipnt= 6 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 5.87500000 -0.00000000 1.03125000)
iedge= 4, ipnt= 7 (X): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 5.84375000 -0.00000000 1.03906250)
iedge= 4, ipnt= 7 (Z): anal= 0.00976563, fd= 0.00919118, err= 0.00057445 (at 5.84375000 -0.00000000 1.03906250)
iedge= 4, ipnt= 8 (X): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 5.81250000 -0.00000000 1.04687500)
iedge= 4, ipnt= 8 (Z): anal= 0.01171875, fd= 0.01102941, err= 0.00068934 (at 5.81250000 -0.00000000 1.04687500)
iedge= 4, ipnt= 9 (X): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 5.78125000 -0.00000000 1.05468750)
...too many errors to list
iedge= 6, ipnt= 1 (Y): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 2.00000000 0.09801714 1.99518473)
iedge= 6, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 2.00000000 0.09801714 1.99518473)
iedge= 6, ipnt= 2 (Y): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 2.00000000 0.19509032 1.98078528)
iedge= 6, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 2.00000000 0.19509032 1.98078528)
iedge= 6, ipnt= 3 (Y): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 2.00000000 0.29028468 1.95694034)
iedge= 6, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 2.00000000 0.29028468 1.95694034)
iedge= 6, ipnt= 4 (Y): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 2.00000000 0.38268343 1.92387953)
iedge= 6, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 2.00000000 0.38268343 1.92387953)
iedge= 6, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 2.00000000 0.47139674 1.88192126)
iedge= 6, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 2.00000000 0.47139674 1.88192126)
...too many errors to list
d(Edge)/d(xbase) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 2.00000000 -0.00000000 2.00000000)
inode= 2, ipnt= 0 (Z): anal= -0.01562500, fd= -0.00000000, err= -0.01562500 (at 2.00000000 0.00000000 0.00000000)
d(Node)/d(xbase) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybase" for ibody=1
d(Face)/d(ybase) check complete with 0 total errors (errmax= 2.8817e-08)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 3.1226e-08)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.1176e-16)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbase" for ibody=1
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.8301e-08)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0869e-08)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 3.1391e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.09648562, fd= -0.09081000, err= -0.00567562 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.97963497, fd= 0.92200938, err= 0.05762559 (at 2.06250000 -0.09648562 1.97963497)
iface= 1, ipnt= 183 (X): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.19204204, fd= -0.18074545, err= -0.01129659 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.96546051, fd= 0.90866872, err= 0.05679179 (at 2.06250000 -0.19204204 1.96546051)
iface= 1, ipnt= 184 (X): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.28574898, fd= -0.26894022, err= -0.01680876 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.94198814, fd= 0.88657708, err= 0.05541107 (at 2.06250000 -0.28574898 1.94198814)
iface= 1, ipnt= 185 (X): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 2.06250000 -0.37670400 1.90944391)
...too many errors to list
iface= 2, ipnt= 182 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 5.99218750 0.00019144 1.00194372)
iface= 2, ipnt= 183 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 5.99218750 0.00038104 1.00191560)
iface= 2, ipnt= 184 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 5.99218750 0.00056696 1.00186902)
iface= 2, ipnt= 185 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 5.99218750 0.00074743 1.00180445)
iface= 2, ipnt= 186 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 5.99218750 0.00092070 1.00172250)
iface= 2, ipnt= 192 (Y): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 5.99218750 0.00172250 1.00092070)
iface= 2, ipnt= 193 (Y): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 5.99218750 0.00180445 1.00074743)
iface= 2, ipnt= 194 (Y): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 5.99218750 0.00186902 1.00056696)
iface= 2, ipnt= 195 (Y): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 5.99218750 0.00191560 1.00038104)
iface= 2, ipnt= 196 (Y): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 5.99218750 0.00194372 1.00019144)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
iedge= 1, ipnt= 1 (Y): anal= -0.10414321, fd= -0.09801714, err= -0.00612607 (at 2.00000000 -0.09801714 0.00481527)
iedge= 1, ipnt= 1 (Z): anal= -1.05738377, fd= -0.99518473, err= -0.06219905 (at 2.00000000 -0.09801714 0.00481527)
iedge= 1, ipnt= 2 (Y): anal= -0.20728347, fd= -0.19509032, err= -0.01219315 (at 2.00000000 -0.19509032 0.01921472)
iedge= 1, ipnt= 2 (Z): anal= -1.04208436, fd= -0.98078528, err= -0.06129908 (at 2.00000000 -0.19509032 0.01921472)
iedge= 1, ipnt= 3 (Y): anal= -0.30842747, fd= -0.29028468, err= -0.01814279 (at 2.00000000 -0.29028468 0.04305966)
iedge= 1, ipnt= 3 (Z): anal= -1.01674911, fd= -0.95694034, err= -0.05980877 (at 2.00000000 -0.29028468 0.04305966)
iedge= 1, ipnt= 4 (Y): anal= -0.40660115, fd= -0.38268343, err= -0.02391771 (at 2.00000000 -0.38268343 0.07612047)
iedge= 1, ipnt= 4 (Z): anal= -0.98162200, fd= -0.92387953, err= -0.05774247 (at 2.00000000 -0.38268343 0.07612047)
iedge= 1, ipnt= 5 (Y): anal= -0.50085903, fd= -0.47139674, err= -0.02946230 (at 2.00000000 -0.47139674 0.11807874)
iedge= 1, ipnt= 5 (Z): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (at 2.00000000 -0.47139674 0.11807874)
...too many errors to list
iedge= 2, ipnt= 1 (Z): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 5.99218750 0.00000000 0.99804688)
iedge= 2, ipnt= 2 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 5.98437500 0.00000000 0.99609375)
iedge= 2, ipnt= 3 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 5.96875000 0.00000000 0.99218750)
iedge= 2, ipnt= 3 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 5.96875000 0.00000000 0.99218750)
iedge= 2, ipnt= 4 (X): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 5.93750000 0.00000000 0.98437500)
iedge= 2, ipnt= 4 (Z): anal= -0.01562500, fd= -0.01470588, err= -0.00091912 (at 5.93750000 0.00000000 0.98437500)
iedge= 2, ipnt= 5 (X): anal= 0.00585938, fd= 0.00551471, err= 0.00034467 (at 5.90625000 0.00000000 0.97656250)
iedge= 2, ipnt= 5 (Z): anal= -0.02343750, fd= -0.02205882, err= -0.00137868 (at 5.90625000 0.00000000 0.97656250)
iedge= 2, ipnt= 6 (X): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 5.87500000 0.00000000 0.96875000)
iedge= 2, ipnt= 6 (Z): anal= -0.03125000, fd= -0.02941176, err= -0.00183824 (at 5.87500000 0.00000000 0.96875000)
...too many errors to list
iedge= 4, ipnt= 1 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 5.99218750 -0.00000000 1.00195312)
iedge= 4, ipnt= 2 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 5.98437500 -0.00000000 1.00390625)
iedge= 4, ipnt= 3 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 5.96875000 -0.00000000 1.00781250)
iedge= 4, ipnt= 3 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 5.96875000 -0.00000000 1.00781250)
iedge= 4, ipnt= 4 (X): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 5.93750000 -0.00000000 1.01562500)
iedge= 4, ipnt= 4 (Z): anal= 0.01562500, fd= 0.01470588, err= 0.00091912 (at 5.93750000 -0.00000000 1.01562500)
iedge= 4, ipnt= 5 (X): anal= 0.00585938, fd= 0.00551471, err= 0.00034467 (at 5.90625000 -0.00000000 1.02343750)
iedge= 4, ipnt= 5 (Z): anal= 0.02343750, fd= 0.02205882, err= 0.00137868 (at 5.90625000 -0.00000000 1.02343750)
iedge= 4, ipnt= 6 (X): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 5.87500000 -0.00000000 1.03125000)
iedge= 4, ipnt= 6 (Z): anal= 0.03125000, fd= 0.02941176, err= 0.00183824 (at 5.87500000 -0.00000000 1.03125000)
...too many errors to list
iedge= 6, ipnt= 1 (Y): anal= 0.10414321, fd= 0.09801714, err= 0.00612607 (at 2.00000000 0.09801714 1.99518473)
iedge= 6, ipnt= 1 (Z): anal= 1.05738377, fd= 0.99518473, err= 0.06219905 (at 2.00000000 0.09801714 1.99518473)
iedge= 6, ipnt= 2 (Y): anal= 0.20728347, fd= 0.19509032, err= 0.01219315 (at 2.00000000 0.19509032 1.98078528)
iedge= 6, ipnt= 2 (Z): anal= 1.04208436, fd= 0.98078528, err= 0.06129908 (at 2.00000000 0.19509032 1.98078528)
iedge= 6, ipnt= 3 (Y): anal= 0.30842747, fd= 0.29028468, err= 0.01814279 (at 2.00000000 0.29028468 1.95694034)
iedge= 6, ipnt= 3 (Z): anal= 1.01674911, fd= 0.95694034, err= 0.05980877 (at 2.00000000 0.29028468 1.95694034)
iedge= 6, ipnt= 4 (Y): anal= 0.40660115, fd= 0.38268343, err= 0.02391771 (at 2.00000000 0.38268343 1.92387953)
iedge= 6, ipnt= 4 (Z): anal= 0.98162200, fd= 0.92387953, err= 0.05774247 (at 2.00000000 0.38268343 1.92387953)
iedge= 6, ipnt= 5 (Y): anal= 0.50085903, fd= 0.47139674, err= 0.02946230 (at 2.00000000 0.47139674 1.88192126)
iedge= 6, ipnt= 5 (Z): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (at 2.00000000 0.47139674 1.88192126)
...too many errors to list
d(Edge)/d(rad) check complete with 414 total errors (errmax= 6.2500e-02)
inode= 1, ipnt= 0 (Z): anal= 1.06250000, fd= 1.00000000, err= 0.06250000 (at 2.00000000 -0.00000000 2.00000000)
inode= 2, ipnt= 0 (Z): anal= -1.06250000, fd= -1.00000000, err= -0.06250000 (at 2.00000000 0.00000000 0.00000000)
d(Node)/d(rad) check complete with 2 total errors (errmax= 6.2500e-02)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.025 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.223s
user 0m0.220s
sys 0m0.012s
++++ set +x
data/basic/designC4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 61 / 180 )
data/basic/designC5a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC5a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xvrtx" for ibody=1
d(Face)/d(xvrtx) check complete with 0 total errors (errmax= 2.8635e-08)
d(Edge)/d(xvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
d(Node)/d(xvrtx) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yvrtx" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.00105855, fd= -0.00036036, err= 0.00141891 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Z): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 183 (X): anal= 0.00210690, fd= -0.00071724, err= 0.00282415 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Z): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 184 (X): anal= 0.00313497, fd= -0.00106722, err= 0.00420219 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Z): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 185 (X): anal= 0.00413284, fd= -0.00140692, err= 0.00553976 (at 1.37670400 5.93750000 -0.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 0.99923424 2.03125000 -0.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 0.99847586 2.03125000 -0.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 0.99773215 2.03125000 -0.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 0.99701029 2.03125000 -0.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 0.99631721 2.03125000 -0.00689001)
iface= 2, ipnt= 254 (X): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 0.99310999 2.03125000 -0.00368279)
iface= 2, ipnt= 255 (X): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 0.99278219 2.03125000 -0.00298971)
iface= 2, ipnt= 256 (X): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 0.99252390 2.03125000 -0.00226785)
iface= 2, ipnt= 257 (X): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 0.99233761 2.03125000 -0.00152414)
iface= 2, ipnt= 258 (X): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 0.99222512 2.03125000 -0.00076576)
...too many errors to list
d(Face)/d(yvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (X): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 2 (X): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 3 (X): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 4 (X): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 5 (X): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 1.47139674 6.00000000 0.88192126)
iedge= 1, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 1.47139674 6.00000000 0.88192126)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.23334099, fd= -0.23345588, err= 0.00011489 (at 1.00000000 2.03125000 0.00781250)
iedge= 2, ipnt= 4 (Z): anal= -0.23138787, fd= -0.23161765, err= 0.00022978 (at 1.00000000 2.06250000 0.01562500)
iedge= 2, ipnt= 5 (Z): anal= -0.22943474, fd= -0.22977941, err= 0.00034467 (at 1.00000000 2.09375000 0.02343750)
iedge= 2, ipnt= 6 (Y): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 1.00000000 2.12500000 0.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.22748162, fd= -0.22794118, err= 0.00045956 (at 1.00000000 2.12500000 0.03125000)
iedge= 2, ipnt= 7 (Y): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 1.00000000 2.15625000 0.03906250)
iedge= 2, ipnt= 7 (Z): anal= -0.22552849, fd= -0.22610294, err= 0.00057445 (at 1.00000000 2.15625000 0.03906250)
iedge= 2, ipnt= 8 (Y): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 1.00000000 2.18750000 0.04687500)
iedge= 2, ipnt= 8 (Z): anal= -0.22357537, fd= -0.22426471, err= 0.00068934 (at 1.00000000 2.18750000 0.04687500)
iedge= 2, ipnt= 9 (Y): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 1.00000000 2.21875000 0.05468750)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.23334099, fd= 0.23345588, err= -0.00011489 (at 1.00000000 2.03125000 -0.00781250)
iedge= 4, ipnt= 4 (Z): anal= 0.23138787, fd= 0.23161765, err= -0.00022978 (at 1.00000000 2.06250000 -0.01562500)
iedge= 4, ipnt= 5 (Z): anal= 0.22943474, fd= 0.22977941, err= -0.00034467 (at 1.00000000 2.09375000 -0.02343750)
iedge= 4, ipnt= 6 (Y): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 1.00000000 2.12500000 -0.03125000)
iedge= 4, ipnt= 6 (Z): anal= 0.22748162, fd= 0.22794118, err= -0.00045956 (at 1.00000000 2.12500000 -0.03125000)
iedge= 4, ipnt= 7 (Y): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 1.00000000 2.15625000 -0.03906250)
iedge= 4, ipnt= 7 (Z): anal= 0.22552849, fd= 0.22610294, err= -0.00057445 (at 1.00000000 2.15625000 -0.03906250)
iedge= 4, ipnt= 8 (Y): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 1.00000000 2.18750000 -0.04687500)
iedge= 4, ipnt= 8 (Z): anal= 0.22357537, fd= 0.22426471, err= -0.00068934 (at 1.00000000 2.18750000 -0.04687500)
iedge= 4, ipnt= 9 (Y): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 1.00000000 2.21875000 -0.05468750)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 2 (X): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 3 (X): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 4 (X): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 5 (X): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 0.52860326 6.00000000 -0.88192126)
iedge= 6, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 0.52860326 6.00000000 -0.88192126)
...too many errors to list
d(Edge)/d(yvrtx) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= -0.01562500, fd= 0.00000000, err= -0.01562500 (at 1.00000000 6.00000000 -1.00000000)
inode= 2, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 1.00000000 6.00000000 1.00000000)
d(Node)/d(yvrtx) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zvrtx" for ibody=1
d(Face)/d(zvrtx) check complete with 0 total errors (errmax= 2.8278e-08)
d(Edge)/d(zvrtx) check complete with 0 total errors (errmax= 3.0788e-08)
d(Node)/d(zvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbase" for ibody=1
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.8713e-08)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybase" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.02412141, fd= -0.02270250, err= -0.00141891 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 183 (X): anal= -0.04801051, fd= -0.04518636, err= -0.00282415 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 184 (X): anal= -0.07143724, fd= -0.06723505, err= -0.00420219 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 185 (X): anal= -0.09417600, fd= -0.08863624, err= -0.00553976 (at 1.37670400 5.93750000 -0.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.99923424 2.03125000 -0.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.99847586 2.03125000 -0.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.99773215 2.03125000 -0.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.99701029 2.03125000 -0.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.99631721 2.03125000 -0.00689001)
iface= 2, ipnt= 254 (X): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.99310999 2.03125000 -0.00368279)
iface= 2, ipnt= 255 (X): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.99278219 2.03125000 -0.00298971)
iface= 2, ipnt= 256 (X): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.99252390 2.03125000 -0.00226785)
iface= 2, ipnt= 257 (X): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.99233761 2.03125000 -0.00152414)
iface= 2, ipnt= 258 (X): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.99222512 2.03125000 -0.00076576)
...too many errors to list
d(Face)/d(ybase) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (X): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 2 (X): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 3 (X): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 4 (X): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 5 (X): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 1.47139674 6.00000000 0.88192126)
iedge= 1, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 1.47139674 6.00000000 0.88192126)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 1.00000000 2.03125000 0.00781250)
iedge= 2, ipnt= 4 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 1.00000000 2.06250000 0.01562500)
iedge= 2, ipnt= 5 (Z): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 1.00000000 2.09375000 0.02343750)
iedge= 2, ipnt= 6 (Y): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 2.12500000 0.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 1.00000000 2.12500000 0.03125000)
iedge= 2, ipnt= 7 (Y): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 1.00000000 2.15625000 0.03906250)
iedge= 2, ipnt= 7 (Z): anal= -0.00976563, fd= -0.00919118, err= -0.00057445 (at 1.00000000 2.15625000 0.03906250)
iedge= 2, ipnt= 8 (Y): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 1.00000000 2.18750000 0.04687500)
iedge= 2, ipnt= 8 (Z): anal= -0.01171875, fd= -0.01102941, err= -0.00068934 (at 1.00000000 2.18750000 0.04687500)
iedge= 2, ipnt= 9 (Y): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 1.00000000 2.21875000 0.05468750)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 2.03125000 -0.00781250)
iedge= 4, ipnt= 4 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 1.00000000 2.06250000 -0.01562500)
iedge= 4, ipnt= 5 (Z): anal= 0.00585938, fd= 0.00551471, err= 0.00034467 (at 1.00000000 2.09375000 -0.02343750)
iedge= 4, ipnt= 6 (Y): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 2.12500000 -0.03125000)
iedge= 4, ipnt= 6 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 1.00000000 2.12500000 -0.03125000)
iedge= 4, ipnt= 7 (Y): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 1.00000000 2.15625000 -0.03906250)
iedge= 4, ipnt= 7 (Z): anal= 0.00976563, fd= 0.00919118, err= 0.00057445 (at 1.00000000 2.15625000 -0.03906250)
iedge= 4, ipnt= 8 (Y): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 1.00000000 2.18750000 -0.04687500)
iedge= 4, ipnt= 8 (Z): anal= 0.01171875, fd= 0.01102941, err= 0.00068934 (at 1.00000000 2.18750000 -0.04687500)
iedge= 4, ipnt= 9 (Y): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 1.00000000 2.21875000 -0.05468750)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 2 (X): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 3 (X): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 4 (X): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 5 (X): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 0.52860326 6.00000000 -0.88192126)
iedge= 6, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 0.52860326 6.00000000 -0.88192126)
...too many errors to list
d(Edge)/d(ybase) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 1.00000000 6.00000000 -1.00000000)
inode= 2, ipnt= 0 (Z): anal= -0.01562500, fd= -0.00000000, err= -0.01562500 (at 1.00000000 6.00000000 1.00000000)
d(Node)/d(ybase) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbase" for ibody=1
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.8404e-08)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0816e-08)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.09648562, fd= 0.09081000, err= 0.00567562 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 182 (Z): anal= -0.97963497, fd= -0.92200938, err= -0.05762559 (at 1.09648562 5.93750000 -0.97963497)
iface= 1, ipnt= 183 (X): anal= 0.19204204, fd= 0.18074545, err= 0.01129659 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 183 (Z): anal= -0.96546051, fd= -0.90866872, err= -0.05679179 (at 1.19204204 5.93750000 -0.96546051)
iface= 1, ipnt= 184 (X): anal= 0.28574898, fd= 0.26894022, err= 0.01680876 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 184 (Z): anal= -0.94198814, fd= -0.88657708, err= -0.05541107 (at 1.28574898 5.93750000 -0.94198814)
iface= 1, ipnt= 185 (X): anal= 0.37670400, fd= 0.35454494, err= 0.02215906 (at 1.37670400 5.93750000 -0.90944391)
...too many errors to list
iface= 2, ipnt= 182 (Z): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.99980856 2.00781250 -0.00194372)
iface= 2, ipnt= 183 (Z): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.99961896 2.00781250 -0.00191560)
iface= 2, ipnt= 184 (Z): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.99943304 2.00781250 -0.00186902)
iface= 2, ipnt= 185 (Z): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.99925257 2.00781250 -0.00180445)
iface= 2, ipnt= 186 (Z): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.99907930 2.00781250 -0.00172250)
iface= 2, ipnt= 192 (X): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.99827750 2.00781250 -0.00092070)
iface= 2, ipnt= 193 (X): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.99819555 2.00781250 -0.00074743)
iface= 2, ipnt= 194 (X): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.99813098 2.00781250 -0.00056696)
iface= 2, ipnt= 195 (X): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.99808440 2.00781250 -0.00038104)
iface= 2, ipnt= 196 (X): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.99805628 2.00781250 -0.00019144)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
iedge= 1, ipnt= 1 (X): anal= 0.10414321, fd= 0.09801714, err= 0.00612607 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 1 (Z): anal= 1.05738377, fd= 0.99518473, err= 0.06219905 (at 1.09801714 6.00000000 0.99518473)
iedge= 1, ipnt= 2 (X): anal= 0.20728347, fd= 0.19509032, err= 0.01219315 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 2 (Z): anal= 1.04208436, fd= 0.98078528, err= 0.06129908 (at 1.19509032 6.00000000 0.98078528)
iedge= 1, ipnt= 3 (X): anal= 0.30842747, fd= 0.29028468, err= 0.01814279 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 3 (Z): anal= 1.01674911, fd= 0.95694034, err= 0.05980877 (at 1.29028468 6.00000000 0.95694034)
iedge= 1, ipnt= 4 (X): anal= 0.40660115, fd= 0.38268343, err= 0.02391771 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 4 (Z): anal= 0.98162200, fd= 0.92387953, err= 0.05774247 (at 1.38268343 6.00000000 0.92387953)
iedge= 1, ipnt= 5 (X): anal= 0.50085903, fd= 0.47139674, err= 0.02946230 (at 1.47139674 6.00000000 0.88192126)
iedge= 1, ipnt= 5 (Z): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (at 1.47139674 6.00000000 0.88192126)
...too many errors to list
iedge= 2, ipnt= 1 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 2.00781250 0.00195312)
iedge= 2, ipnt= 2 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 1.00000000 2.01562500 0.00390625)
iedge= 2, ipnt= 3 (Y): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 1.00000000 2.03125000 0.00781250)
iedge= 2, ipnt= 3 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 1.00000000 2.03125000 0.00781250)
iedge= 2, ipnt= 4 (Y): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 1.00000000 2.06250000 0.01562500)
iedge= 2, ipnt= 4 (Z): anal= 0.01562500, fd= 0.01470588, err= 0.00091912 (at 1.00000000 2.06250000 0.01562500)
iedge= 2, ipnt= 5 (Y): anal= -0.00585937, fd= -0.00551471, err= -0.00034467 (at 1.00000000 2.09375000 0.02343750)
iedge= 2, ipnt= 5 (Z): anal= 0.02343750, fd= 0.02205882, err= 0.00137868 (at 1.00000000 2.09375000 0.02343750)
iedge= 2, ipnt= 6 (Y): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 1.00000000 2.12500000 0.03125000)
iedge= 2, ipnt= 6 (Z): anal= 0.03125000, fd= 0.02941176, err= 0.00183824 (at 1.00000000 2.12500000 0.03125000)
...too many errors to list
iedge= 4, ipnt= 1 (Z): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 1.00000000 2.00781250 -0.00195312)
iedge= 4, ipnt= 2 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 1.00000000 2.01562500 -0.00390625)
iedge= 4, ipnt= 3 (Y): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 1.00000000 2.03125000 -0.00781250)
iedge= 4, ipnt= 3 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 1.00000000 2.03125000 -0.00781250)
iedge= 4, ipnt= 4 (Y): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 1.00000000 2.06250000 -0.01562500)
iedge= 4, ipnt= 4 (Z): anal= -0.01562500, fd= -0.01470588, err= -0.00091912 (at 1.00000000 2.06250000 -0.01562500)
iedge= 4, ipnt= 5 (Y): anal= -0.00585937, fd= -0.00551471, err= -0.00034467 (at 1.00000000 2.09375000 -0.02343750)
iedge= 4, ipnt= 5 (Z): anal= -0.02343750, fd= -0.02205882, err= -0.00137868 (at 1.00000000 2.09375000 -0.02343750)
iedge= 4, ipnt= 6 (Y): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 1.00000000 2.12500000 -0.03125000)
iedge= 4, ipnt= 6 (Z): anal= -0.03125000, fd= -0.02941176, err= -0.00183824 (at 1.00000000 2.12500000 -0.03125000)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= -0.10414321, fd= -0.09801714, err= -0.00612607 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 1 (Z): anal= -1.05738377, fd= -0.99518473, err= -0.06219905 (at 0.90198286 6.00000000 -0.99518473)
iedge= 6, ipnt= 2 (X): anal= -0.20728347, fd= -0.19509032, err= -0.01219315 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 2 (Z): anal= -1.04208436, fd= -0.98078528, err= -0.06129908 (at 0.80490968 6.00000000 -0.98078528)
iedge= 6, ipnt= 3 (X): anal= -0.30842747, fd= -0.29028468, err= -0.01814279 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 3 (Z): anal= -1.01674911, fd= -0.95694034, err= -0.05980877 (at 0.70971532 6.00000000 -0.95694034)
iedge= 6, ipnt= 4 (X): anal= -0.40660115, fd= -0.38268343, err= -0.02391771 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 4 (Z): anal= -0.98162200, fd= -0.92387953, err= -0.05774247 (at 0.61731657 6.00000000 -0.92387953)
iedge= 6, ipnt= 5 (X): anal= -0.50085903, fd= -0.47139674, err= -0.02946230 (at 0.52860326 6.00000000 -0.88192126)
iedge= 6, ipnt= 5 (Z): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (at 0.52860326 6.00000000 -0.88192126)
...too many errors to list
d(Edge)/d(rad) check complete with 414 total errors (errmax= 6.2500e-02)
inode= 1, ipnt= 0 (Z): anal= -1.06250000, fd= -1.00000000, err= -0.06250000 (at 1.00000000 6.00000000 -1.00000000)
inode= 2, ipnt= 0 (Z): anal= 1.06250000, fd= 1.00000000, err= 0.06250000 (at 1.00000000 6.00000000 1.00000000)
d(Node)/d(rad) check complete with 2 total errors (errmax= 6.2500e-02)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.027 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.231s
user 0m0.232s
sys 0m0.004s
++++ set +x
data/basic/designC5a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 62 / 180 )
data/basic/designC5b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC5b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xvrtx" for ibody=1
d(Face)/d(xvrtx) check complete with 0 total errors (errmax= 2.8740e-08)
d(Edge)/d(xvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
d(Node)/d(xvrtx) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yvrtx" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.00105855, fd= 0.00036036, err= -0.00141891 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Z): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 183 (X): anal= -0.00210690, fd= 0.00071724, err= -0.00282415 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Z): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 184 (X): anal= -0.00313497, fd= 0.00106722, err= -0.00420219 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Y): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Z): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 185 (X): anal= -0.00413284, fd= 0.00140692, err= -0.00553976 (at 1.37670400 2.06250000 0.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 0.99923424 5.96875000 0.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 0.99847586 5.96875000 0.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 0.99773215 5.96875000 0.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 0.99701029 5.96875000 0.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 0.99631721 5.96875000 0.00689001)
iface= 2, ipnt= 254 (X): anal= -0.20578838, fd= -0.20588971, err= 0.00010132 (at 0.99310999 5.96875000 0.00368279)
iface= 2, ipnt= 255 (X): anal= -0.21557897, fd= -0.21568511, err= 0.00010614 (at 0.99278219 5.96875000 0.00298971)
iface= 2, ipnt= 256 (X): anal= -0.22329341, fd= -0.22340335, err= 0.00010994 (at 0.99252390 5.96875000 0.00226785)
iface= 2, ipnt= 257 (X): anal= -0.22885741, fd= -0.22897009, err= 0.00011268 (at 0.99233761 5.96875000 0.00152414)
iface= 2, ipnt= 258 (X): anal= -0.23221739, fd= -0.23233173, err= 0.00011434 (at 0.99222512 5.96875000 0.00076576)
...too many errors to list
d(Face)/d(yvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (X): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 1.09801714 2.00000000 -0.99518473)
iedge= 1, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 1.09801714 2.00000000 -0.99518473)
iedge= 1, ipnt= 2 (X): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 1.19509032 2.00000000 -0.98078528)
iedge= 1, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 1.19509032 2.00000000 -0.98078528)
iedge= 1, ipnt= 3 (X): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 1.29028468 2.00000000 -0.95694034)
iedge= 1, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 1.29028468 2.00000000 -0.95694034)
iedge= 1, ipnt= 4 (X): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 1.38268343 2.00000000 -0.92387953)
iedge= 1, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 1.38268343 2.00000000 -0.92387953)
iedge= 1, ipnt= 5 (X): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 1.47139674 2.00000000 -0.88192126)
iedge= 1, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 1.47139674 2.00000000 -0.88192126)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.23334099, fd= -0.23345588, err= 0.00011489 (at 1.00000000 5.96875000 -0.00781250)
iedge= 2, ipnt= 4 (Z): anal= -0.23138787, fd= -0.23161765, err= 0.00022978 (at 1.00000000 5.93750000 -0.01562500)
iedge= 2, ipnt= 5 (Z): anal= -0.22943474, fd= -0.22977941, err= 0.00034467 (at 1.00000000 5.90625000 -0.02343750)
iedge= 2, ipnt= 6 (Y): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 1.00000000 5.87500000 -0.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.22748162, fd= -0.22794118, err= 0.00045956 (at 1.00000000 5.87500000 -0.03125000)
iedge= 2, ipnt= 7 (Y): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 1.00000000 5.84375000 -0.03906250)
iedge= 2, ipnt= 7 (Z): anal= -0.22552849, fd= -0.22610294, err= 0.00057445 (at 1.00000000 5.84375000 -0.03906250)
iedge= 2, ipnt= 8 (Y): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 1.00000000 5.81250000 -0.04687500)
iedge= 2, ipnt= 8 (Z): anal= -0.22357537, fd= -0.22426471, err= 0.00068934 (at 1.00000000 5.81250000 -0.04687500)
iedge= 2, ipnt= 9 (Y): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 1.00000000 5.78125000 -0.05468750)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.23334099, fd= 0.23345588, err= -0.00011489 (at 1.00000000 5.96875000 0.00781250)
iedge= 4, ipnt= 4 (Z): anal= 0.23138787, fd= 0.23161765, err= -0.00022978 (at 1.00000000 5.93750000 0.01562500)
iedge= 4, ipnt= 5 (Z): anal= 0.22943474, fd= 0.22977941, err= -0.00034467 (at 1.00000000 5.90625000 0.02343750)
iedge= 4, ipnt= 6 (Y): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 1.00000000 5.87500000 0.03125000)
iedge= 4, ipnt= 6 (Z): anal= 0.22748162, fd= 0.22794118, err= -0.00045956 (at 1.00000000 5.87500000 0.03125000)
iedge= 4, ipnt= 7 (Y): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 1.00000000 5.84375000 0.03906250)
iedge= 4, ipnt= 7 (Z): anal= 0.22552849, fd= 0.22610294, err= -0.00057445 (at 1.00000000 5.84375000 0.03906250)
iedge= 4, ipnt= 8 (Y): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 1.00000000 5.81250000 0.04687500)
iedge= 4, ipnt= 8 (Z): anal= 0.22357537, fd= 0.22426471, err= -0.00068934 (at 1.00000000 5.81250000 0.04687500)
iedge= 4, ipnt= 9 (Y): anal= 0.05540556, fd= 0.05560662, err= -0.00020106 (at 1.00000000 5.78125000 0.05468750)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 0.90198286 2.00000000 0.99518473)
iedge= 6, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 0.90198286 2.00000000 0.99518473)
iedge= 6, ipnt= 2 (X): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 0.80490968 2.00000000 0.98078528)
iedge= 6, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 0.80490968 2.00000000 0.98078528)
iedge= 6, ipnt= 3 (X): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 0.70971532 2.00000000 0.95694034)
iedge= 6, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 0.70971532 2.00000000 0.95694034)
iedge= 6, ipnt= 4 (X): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 0.61731657 2.00000000 0.92387953)
iedge= 6, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 0.61731657 2.00000000 0.92387953)
iedge= 6, ipnt= 5 (X): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 0.52860326 2.00000000 0.88192126)
iedge= 6, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 0.52860326 2.00000000 0.88192126)
...too many errors to list
d(Edge)/d(yvrtx) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= -0.01562500, fd= -0.00000000, err= -0.01562500 (at 1.00000000 2.00000000 1.00000000)
inode= 2, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 1.00000000 2.00000000 -1.00000000)
d(Node)/d(yvrtx) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zvrtx" for ibody=1
d(Face)/d(zvrtx) check complete with 0 total errors (errmax= 2.8327e-08)
d(Edge)/d(zvrtx) check complete with 0 total errors (errmax= 3.0788e-08)
d(Node)/d(zvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbase" for ibody=1
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.8817e-08)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybase" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.02412141, fd= 0.02270250, err= 0.00141891 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 183 (X): anal= 0.04801051, fd= 0.04518636, err= 0.00282415 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 184 (X): anal= 0.07143724, fd= 0.06723505, err= 0.00420219 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Y): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 185 (X): anal= 0.09417600, fd= 0.08863624, err= 0.00553976 (at 1.37670400 2.06250000 0.90944391)
...too many errors to list
iface= 2, ipnt= 244 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.99923424 5.96875000 0.00777488)
iface= 2, ipnt= 245 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.99847586 5.96875000 0.00766239)
iface= 2, ipnt= 246 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.99773215 5.96875000 0.00747610)
iface= 2, ipnt= 247 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.99701029 5.96875000 0.00721781)
iface= 2, ipnt= 248 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.99631721 5.96875000 0.00689001)
iface= 2, ipnt= 254 (X): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.99310999 5.96875000 0.00368279)
iface= 2, ipnt= 255 (X): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.99278219 5.96875000 0.00298971)
iface= 2, ipnt= 256 (X): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.99252390 5.96875000 0.00226785)
iface= 2, ipnt= 257 (X): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.99233761 5.96875000 0.00152414)
iface= 2, ipnt= 258 (X): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.99222512 5.96875000 0.00076576)
...too many errors to list
d(Face)/d(ybase) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (X): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 1.09801714 2.00000000 -0.99518473)
iedge= 1, ipnt= 1 (Z): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 1.09801714 2.00000000 -0.99518473)
iedge= 1, ipnt= 2 (X): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 1.19509032 2.00000000 -0.98078528)
iedge= 1, ipnt= 2 (Z): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 1.19509032 2.00000000 -0.98078528)
iedge= 1, ipnt= 3 (X): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 1.29028468 2.00000000 -0.95694034)
iedge= 1, ipnt= 3 (Z): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 1.29028468 2.00000000 -0.95694034)
iedge= 1, ipnt= 4 (X): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 1.38268343 2.00000000 -0.92387953)
iedge= 1, ipnt= 4 (Z): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 1.38268343 2.00000000 -0.92387953)
iedge= 1, ipnt= 5 (X): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 1.47139674 2.00000000 -0.88192126)
iedge= 1, ipnt= 5 (Z): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 1.47139674 2.00000000 -0.88192126)
...too many errors to list
iedge= 2, ipnt= 3 (Z): anal= -0.00195313, fd= -0.00183824, err= -0.00011489 (at 1.00000000 5.96875000 -0.00781250)
iedge= 2, ipnt= 4 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 1.00000000 5.93750000 -0.01562500)
iedge= 2, ipnt= 5 (Z): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 1.00000000 5.90625000 -0.02343750)
iedge= 2, ipnt= 6 (Y): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 5.87500000 -0.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 1.00000000 5.87500000 -0.03125000)
iedge= 2, ipnt= 7 (Y): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 1.00000000 5.84375000 -0.03906250)
iedge= 2, ipnt= 7 (Z): anal= -0.00976563, fd= -0.00919118, err= -0.00057445 (at 1.00000000 5.84375000 -0.03906250)
iedge= 2, ipnt= 8 (Y): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 1.00000000 5.81250000 -0.04687500)
iedge= 2, ipnt= 8 (Z): anal= -0.01171875, fd= -0.01102941, err= -0.00068934 (at 1.00000000 5.81250000 -0.04687500)
iedge= 2, ipnt= 9 (Y): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 1.00000000 5.78125000 -0.05468750)
...too many errors to list
iedge= 4, ipnt= 3 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 5.96875000 0.00781250)
iedge= 4, ipnt= 4 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 1.00000000 5.93750000 0.01562500)
iedge= 4, ipnt= 5 (Z): anal= 0.00585937, fd= 0.00551471, err= 0.00034467 (at 1.00000000 5.90625000 0.02343750)
iedge= 4, ipnt= 6 (Y): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 5.87500000 0.03125000)
iedge= 4, ipnt= 6 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 1.00000000 5.87500000 0.03125000)
iedge= 4, ipnt= 7 (Y): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 1.00000000 5.84375000 0.03906250)
iedge= 4, ipnt= 7 (Z): anal= 0.00976562, fd= 0.00919118, err= 0.00057445 (at 1.00000000 5.84375000 0.03906250)
iedge= 4, ipnt= 8 (Y): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 1.00000000 5.81250000 0.04687500)
iedge= 4, ipnt= 8 (Z): anal= 0.01171875, fd= 0.01102941, err= 0.00068934 (at 1.00000000 5.81250000 0.04687500)
iedge= 4, ipnt= 9 (Y): anal= 0.00341797, fd= 0.00321691, err= 0.00020106 (at 1.00000000 5.78125000 0.05468750)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 0.90198286 2.00000000 0.99518473)
iedge= 6, ipnt= 1 (Z): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 0.90198286 2.00000000 0.99518473)
iedge= 6, ipnt= 2 (X): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 0.80490968 2.00000000 0.98078528)
iedge= 6, ipnt= 2 (Z): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 0.80490968 2.00000000 0.98078528)
iedge= 6, ipnt= 3 (X): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 0.70971532 2.00000000 0.95694034)
iedge= 6, ipnt= 3 (Z): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 0.70971532 2.00000000 0.95694034)
iedge= 6, ipnt= 4 (X): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 0.61731657 2.00000000 0.92387953)
iedge= 6, ipnt= 4 (Z): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 0.61731657 2.00000000 0.92387953)
iedge= 6, ipnt= 5 (X): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 0.52860326 2.00000000 0.88192126)
iedge= 6, ipnt= 5 (Z): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 0.52860326 2.00000000 0.88192126)
...too many errors to list
d(Edge)/d(ybase) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (Z): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 1.00000000 2.00000000 1.00000000)
inode= 2, ipnt= 0 (Z): anal= -0.01562500, fd= -0.00000000, err= -0.01562500 (at 1.00000000 2.00000000 -1.00000000)
d(Node)/d(ybase) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbase" for ibody=1
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.8301e-08)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0816e-08)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.09648562, fd= 0.09081000, err= 0.00567562 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Y): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 182 (Z): anal= 0.97963497, fd= 0.92200938, err= 0.05762559 (at 1.09648562 2.06250000 0.97963497)
iface= 1, ipnt= 183 (X): anal= 0.19204204, fd= 0.18074545, err= 0.01129659 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Y): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 183 (Z): anal= 0.96546051, fd= 0.90866872, err= 0.05679179 (at 1.19204204 2.06250000 0.96546051)
iface= 1, ipnt= 184 (X): anal= 0.28574898, fd= 0.26894022, err= 0.01680876 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Y): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 184 (Z): anal= 0.94198814, fd= 0.88657708, err= 0.05541107 (at 1.28574898 2.06250000 0.94198814)
iface= 1, ipnt= 185 (X): anal= 0.37670400, fd= 0.35454494, err= 0.02215906 (at 1.37670400 2.06250000 0.90944391)
...too many errors to list
iface= 2, ipnt= 182 (Z): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.99980856 5.99218750 0.00194372)
iface= 2, ipnt= 183 (Z): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.99961896 5.99218750 0.00191560)
iface= 2, ipnt= 184 (Z): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.99943304 5.99218750 0.00186902)
iface= 2, ipnt= 185 (Z): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.99925257 5.99218750 0.00180445)
iface= 2, ipnt= 186 (Z): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.99907930 5.99218750 0.00172250)
iface= 2, ipnt= 192 (X): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.99827750 5.99218750 0.00092070)
iface= 2, ipnt= 193 (X): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.99819555 5.99218750 0.00074743)
iface= 2, ipnt= 194 (X): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.99813098 5.99218750 0.00056696)
iface= 2, ipnt= 195 (X): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.99808440 5.99218750 0.00038104)
iface= 2, ipnt= 196 (X): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.99805628 5.99218750 0.00019144)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
iedge= 1, ipnt= 1 (X): anal= 0.10414321, fd= 0.09801714, err= 0.00612607 (at 1.09801714 2.00000000 -0.99518473)
iedge= 1, ipnt= 1 (Z): anal= -1.05738377, fd= -0.99518473, err= -0.06219905 (at 1.09801714 2.00000000 -0.99518473)
iedge= 1, ipnt= 2 (X): anal= 0.20728347, fd= 0.19509032, err= 0.01219315 (at 1.19509032 2.00000000 -0.98078528)
iedge= 1, ipnt= 2 (Z): anal= -1.04208436, fd= -0.98078528, err= -0.06129908 (at 1.19509032 2.00000000 -0.98078528)
iedge= 1, ipnt= 3 (X): anal= 0.30842747, fd= 0.29028468, err= 0.01814279 (at 1.29028468 2.00000000 -0.95694034)
iedge= 1, ipnt= 3 (Z): anal= -1.01674911, fd= -0.95694034, err= -0.05980877 (at 1.29028468 2.00000000 -0.95694034)
iedge= 1, ipnt= 4 (X): anal= 0.40660115, fd= 0.38268343, err= 0.02391771 (at 1.38268343 2.00000000 -0.92387953)
iedge= 1, ipnt= 4 (Z): anal= -0.98162200, fd= -0.92387953, err= -0.05774247 (at 1.38268343 2.00000000 -0.92387953)
iedge= 1, ipnt= 5 (X): anal= 0.50085903, fd= 0.47139674, err= 0.02946230 (at 1.47139674 2.00000000 -0.88192126)
iedge= 1, ipnt= 5 (Z): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (at 1.47139674 2.00000000 -0.88192126)
...too many errors to list
iedge= 2, ipnt= 1 (Z): anal= -0.00195313, fd= -0.00183824, err= -0.00011489 (at 1.00000000 5.99218750 -0.00195312)
iedge= 2, ipnt= 2 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 1.00000000 5.98437500 -0.00390625)
iedge= 2, ipnt= 3 (Y): anal= 0.00195313, fd= 0.00183824, err= 0.00011489 (at 1.00000000 5.96875000 -0.00781250)
iedge= 2, ipnt= 3 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 1.00000000 5.96875000 -0.00781250)
iedge= 2, ipnt= 4 (Y): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 1.00000000 5.93750000 -0.01562500)
iedge= 2, ipnt= 4 (Z): anal= -0.01562500, fd= -0.01470588, err= -0.00091912 (at 1.00000000 5.93750000 -0.01562500)
iedge= 2, ipnt= 5 (Y): anal= 0.00585938, fd= 0.00551471, err= 0.00034467 (at 1.00000000 5.90625000 -0.02343750)
iedge= 2, ipnt= 5 (Z): anal= -0.02343750, fd= -0.02205882, err= -0.00137868 (at 1.00000000 5.90625000 -0.02343750)
iedge= 2, ipnt= 6 (Y): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 1.00000000 5.87500000 -0.03125000)
iedge= 2, ipnt= 6 (Z): anal= -0.03125000, fd= -0.02941176, err= -0.00183824 (at 1.00000000 5.87500000 -0.03125000)
...too many errors to list
iedge= 4, ipnt= 1 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 5.99218750 0.00195312)
iedge= 4, ipnt= 2 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 1.00000000 5.98437500 0.00390625)
iedge= 4, ipnt= 3 (Y): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 1.00000000 5.96875000 0.00781250)
iedge= 4, ipnt= 3 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 1.00000000 5.96875000 0.00781250)
iedge= 4, ipnt= 4 (Y): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 1.00000000 5.93750000 0.01562500)
iedge= 4, ipnt= 4 (Z): anal= 0.01562500, fd= 0.01470588, err= 0.00091912 (at 1.00000000 5.93750000 0.01562500)
iedge= 4, ipnt= 5 (Y): anal= 0.00585937, fd= 0.00551471, err= 0.00034467 (at 1.00000000 5.90625000 0.02343750)
iedge= 4, ipnt= 5 (Z): anal= 0.02343750, fd= 0.02205882, err= 0.00137868 (at 1.00000000 5.90625000 0.02343750)
iedge= 4, ipnt= 6 (Y): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 1.00000000 5.87500000 0.03125000)
iedge= 4, ipnt= 6 (Z): anal= 0.03125000, fd= 0.02941176, err= 0.00183824 (at 1.00000000 5.87500000 0.03125000)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= -0.10414321, fd= -0.09801714, err= -0.00612607 (at 0.90198286 2.00000000 0.99518473)
iedge= 6, ipnt= 1 (Z): anal= 1.05738377, fd= 0.99518473, err= 0.06219905 (at 0.90198286 2.00000000 0.99518473)
iedge= 6, ipnt= 2 (X): anal= -0.20728347, fd= -0.19509032, err= -0.01219315 (at 0.80490968 2.00000000 0.98078528)
iedge= 6, ipnt= 2 (Z): anal= 1.04208436, fd= 0.98078528, err= 0.06129908 (at 0.80490968 2.00000000 0.98078528)
iedge= 6, ipnt= 3 (X): anal= -0.30842747, fd= -0.29028468, err= -0.01814279 (at 0.70971532 2.00000000 0.95694034)
iedge= 6, ipnt= 3 (Z): anal= 1.01674911, fd= 0.95694034, err= 0.05980877 (at 0.70971532 2.00000000 0.95694034)
iedge= 6, ipnt= 4 (X): anal= -0.40660115, fd= -0.38268343, err= -0.02391771 (at 0.61731657 2.00000000 0.92387953)
iedge= 6, ipnt= 4 (Z): anal= 0.98162200, fd= 0.92387953, err= 0.05774247 (at 0.61731657 2.00000000 0.92387953)
iedge= 6, ipnt= 5 (X): anal= -0.50085903, fd= -0.47139674, err= -0.02946230 (at 0.52860326 2.00000000 0.88192126)
iedge= 6, ipnt= 5 (Z): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (at 0.52860326 2.00000000 0.88192126)
...too many errors to list
d(Edge)/d(rad) check complete with 414 total errors (errmax= 6.2500e-02)
inode= 1, ipnt= 0 (Z): anal= 1.06250000, fd= 1.00000000, err= 0.06250000 (at 1.00000000 2.00000000 1.00000000)
inode= 2, ipnt= 0 (Z): anal= -1.06250000, fd= -1.00000000, err= -0.06250000 (at 1.00000000 2.00000000 -1.00000000)
d(Node)/d(rad) check complete with 2 total errors (errmax= 6.2500e-02)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.026 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.231s
user 0m0.224s
sys 0m0.012s
++++ set +x
data/basic/designC5b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 63 / 180 )
data/basic/designC6a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC6a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xvrtx" for ibody=1
d(Face)/d(xvrtx) check complete with 0 total errors (errmax= 2.8278e-08)
d(Edge)/d(xvrtx) check complete with 0 total errors (errmax= 3.0788e-08)
d(Node)/d(xvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yvrtx" for ibody=1
d(Face)/d(yvrtx) check complete with 0 total errors (errmax= 2.8635e-08)
d(Edge)/d(yvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
d(Node)/d(yvrtx) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zvrtx" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Y): anal= 0.00105855, fd= -0.00036036, err= 0.00141891 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 183 (X): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Y): anal= 0.00210690, fd= -0.00071724, err= 0.00282415 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 184 (X): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Y): anal= 0.00313497, fd= -0.00106722, err= 0.00420219 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 185 (X): anal= -0.00997756, fd= 0.00339662, err= -0.01337418 (at -0.90944391 1.37670400 5.93750000)
...too many errors to list
iface= 2, ipnt= 244 (X): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at -0.00777488 0.99923424 2.03125000)
iface= 2, ipnt= 245 (X): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at -0.00766239 0.99847586 2.03125000)
iface= 2, ipnt= 246 (X): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at -0.00747610 0.99773215 2.03125000)
iface= 2, ipnt= 247 (X): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at -0.00721781 0.99701029 2.03125000)
iface= 2, ipnt= 248 (X): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at -0.00689001 0.99631721 2.03125000)
iface= 2, ipnt= 254 (Y): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at -0.00368279 0.99310999 2.03125000)
iface= 2, ipnt= 255 (Y): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at -0.00298971 0.99278219 2.03125000)
iface= 2, ipnt= 256 (Y): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at -0.00226785 0.99252390 2.03125000)
iface= 2, ipnt= 257 (Y): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at -0.00152414 0.99233761 2.03125000)
iface= 2, ipnt= 258 (Y): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at -0.00076576 0.99222512 2.03125000)
...too many errors to list
d(Face)/d(zvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (X): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 0.99518473 1.09801714 6.00000000)
iedge= 1, ipnt= 1 (Y): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 0.99518473 1.09801714 6.00000000)
iedge= 1, ipnt= 2 (X): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 0.98078528 1.19509032 6.00000000)
iedge= 1, ipnt= 2 (Y): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 0.98078528 1.19509032 6.00000000)
iedge= 1, ipnt= 3 (X): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 0.95694034 1.29028468 6.00000000)
iedge= 1, ipnt= 3 (Y): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 0.95694034 1.29028468 6.00000000)
iedge= 1, ipnt= 4 (X): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 0.92387953 1.38268343 6.00000000)
iedge= 1, ipnt= 4 (Y): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 0.92387953 1.38268343 6.00000000)
iedge= 1, ipnt= 5 (X): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 0.88192126 1.47139674 6.00000000)
iedge= 1, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 0.88192126 1.47139674 6.00000000)
...too many errors to list
iedge= 2, ipnt= 3 (X): anal= -0.23334099, fd= -0.23345588, err= 0.00011489 (at 0.00781250 1.00000000 2.03125000)
iedge= 2, ipnt= 4 (X): anal= -0.23138787, fd= -0.23161765, err= 0.00022978 (at 0.01562500 1.00000000 2.06250000)
iedge= 2, ipnt= 5 (X): anal= -0.22943474, fd= -0.22977941, err= 0.00034467 (at 0.02343750 1.00000000 2.09375000)
iedge= 2, ipnt= 6 (X): anal= -0.22748162, fd= -0.22794118, err= 0.00045956 (at 0.03125000 1.00000000 2.12500000)
iedge= 2, ipnt= 6 (Z): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 0.03125000 1.00000000 2.12500000)
iedge= 2, ipnt= 7 (X): anal= -0.22552849, fd= -0.22610294, err= 0.00057445 (at 0.03906250 1.00000000 2.15625000)
iedge= 2, ipnt= 7 (Z): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 0.03906250 1.00000000 2.15625000)
iedge= 2, ipnt= 8 (X): anal= -0.22357537, fd= -0.22426471, err= 0.00068934 (at 0.04687500 1.00000000 2.18750000)
iedge= 2, ipnt= 8 (Z): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 0.04687500 1.00000000 2.18750000)
iedge= 2, ipnt= 9 (X): anal= -0.22162224, fd= -0.22242647, err= 0.00080423 (at 0.05468750 1.00000000 2.21875000)
...too many errors to list
iedge= 4, ipnt= 3 (X): anal= 0.23334099, fd= 0.23345588, err= -0.00011489 (at -0.00781250 1.00000000 2.03125000)
iedge= 4, ipnt= 4 (X): anal= 0.23138787, fd= 0.23161765, err= -0.00022978 (at -0.01562500 1.00000000 2.06250000)
iedge= 4, ipnt= 5 (X): anal= 0.22943474, fd= 0.22977941, err= -0.00034467 (at -0.02343750 1.00000000 2.09375000)
iedge= 4, ipnt= 6 (X): anal= 0.22748162, fd= 0.22794118, err= -0.00045956 (at -0.03125000 1.00000000 2.12500000)
iedge= 4, ipnt= 6 (Z): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at -0.03125000 1.00000000 2.12500000)
iedge= 4, ipnt= 7 (X): anal= 0.22552849, fd= 0.22610294, err= -0.00057445 (at -0.03906250 1.00000000 2.15625000)
iedge= 4, ipnt= 7 (Z): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at -0.03906250 1.00000000 2.15625000)
iedge= 4, ipnt= 8 (X): anal= 0.22357537, fd= 0.22426471, err= -0.00068934 (at -0.04687500 1.00000000 2.18750000)
iedge= 4, ipnt= 8 (Z): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at -0.04687500 1.00000000 2.18750000)
iedge= 4, ipnt= 9 (X): anal= 0.22162224, fd= 0.22242647, err= -0.00080423 (at -0.05468750 1.00000000 2.21875000)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at -0.99518473 0.90198286 6.00000000)
iedge= 6, ipnt= 1 (Y): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at -0.99518473 0.90198286 6.00000000)
iedge= 6, ipnt= 2 (X): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at -0.98078528 0.80490968 6.00000000)
iedge= 6, ipnt= 2 (Y): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at -0.98078528 0.80490968 6.00000000)
iedge= 6, ipnt= 3 (X): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at -0.95694034 0.70971532 6.00000000)
iedge= 6, ipnt= 3 (Y): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at -0.95694034 0.70971532 6.00000000)
iedge= 6, ipnt= 4 (X): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at -0.92387953 0.61731657 6.00000000)
iedge= 6, ipnt= 4 (Y): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at -0.92387953 0.61731657 6.00000000)
iedge= 6, ipnt= 5 (X): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at -0.88192126 0.52860326 6.00000000)
iedge= 6, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at -0.88192126 0.52860326 6.00000000)
...too many errors to list
d(Edge)/d(zvrtx) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (X): anal= -0.01562500, fd= 0.00000000, err= -0.01562500 (at -1.00000000 1.00000000 6.00000000)
inode= 2, ipnt= 0 (X): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 1.00000000 1.00000000 6.00000000)
d(Node)/d(zvrtx) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbase" for ibody=1
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.8404e-08)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.0816e-08)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybase" for ibody=1
d(Face)/d(ybase) check complete with 0 total errors (errmax= 2.8713e-08)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbase" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Y): anal= -0.02412141, fd= -0.02270250, err= -0.00141891 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 183 (X): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Y): anal= -0.04801051, fd= -0.04518636, err= -0.00282415 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 184 (X): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Y): anal= -0.07143724, fd= -0.06723505, err= -0.00420219 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 185 (X): anal= 0.22736098, fd= 0.21398680, err= 0.01337418 (at -0.90944391 1.37670400 5.93750000)
...too many errors to list
iface= 2, ipnt= 244 (X): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at -0.00777488 0.99923424 2.03125000)
iface= 2, ipnt= 245 (X): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at -0.00766239 0.99847586 2.03125000)
iface= 2, ipnt= 246 (X): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at -0.00747610 0.99773215 2.03125000)
iface= 2, ipnt= 247 (X): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at -0.00721781 0.99701029 2.03125000)
iface= 2, ipnt= 248 (X): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at -0.00689001 0.99631721 2.03125000)
iface= 2, ipnt= 254 (Y): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at -0.00368279 0.99310999 2.03125000)
iface= 2, ipnt= 255 (Y): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at -0.00298971 0.99278219 2.03125000)
iface= 2, ipnt= 256 (Y): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at -0.00226785 0.99252390 2.03125000)
iface= 2, ipnt= 257 (Y): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at -0.00152414 0.99233761 2.03125000)
iface= 2, ipnt= 258 (Y): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at -0.00076576 0.99222512 2.03125000)
...too many errors to list
d(Face)/d(zbase) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (X): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 0.99518473 1.09801714 6.00000000)
iedge= 1, ipnt= 1 (Y): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 0.99518473 1.09801714 6.00000000)
iedge= 1, ipnt= 2 (X): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 0.98078528 1.19509032 6.00000000)
iedge= 1, ipnt= 2 (Y): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 0.98078528 1.19509032 6.00000000)
iedge= 1, ipnt= 3 (X): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 0.95694034 1.29028468 6.00000000)
iedge= 1, ipnt= 3 (Y): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 0.95694034 1.29028468 6.00000000)
iedge= 1, ipnt= 4 (X): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 0.92387953 1.38268343 6.00000000)
iedge= 1, ipnt= 4 (Y): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 0.92387953 1.38268343 6.00000000)
iedge= 1, ipnt= 5 (X): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 0.88192126 1.47139674 6.00000000)
iedge= 1, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 0.88192126 1.47139674 6.00000000)
...too many errors to list
iedge= 2, ipnt= 3 (X): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 0.00781250 1.00000000 2.03125000)
iedge= 2, ipnt= 4 (X): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 0.01562500 1.00000000 2.06250000)
iedge= 2, ipnt= 5 (X): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at 0.02343750 1.00000000 2.09375000)
iedge= 2, ipnt= 6 (X): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 0.03125000 1.00000000 2.12500000)
iedge= 2, ipnt= 6 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 0.03125000 1.00000000 2.12500000)
iedge= 2, ipnt= 7 (X): anal= -0.00976563, fd= -0.00919118, err= -0.00057445 (at 0.03906250 1.00000000 2.15625000)
iedge= 2, ipnt= 7 (Z): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 0.03906250 1.00000000 2.15625000)
iedge= 2, ipnt= 8 (X): anal= -0.01171875, fd= -0.01102941, err= -0.00068934 (at 0.04687500 1.00000000 2.18750000)
iedge= 2, ipnt= 8 (Z): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 0.04687500 1.00000000 2.18750000)
iedge= 2, ipnt= 9 (X): anal= -0.01367187, fd= -0.01286765, err= -0.00080423 (at 0.05468750 1.00000000 2.21875000)
...too many errors to list
iedge= 4, ipnt= 3 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at -0.00781250 1.00000000 2.03125000)
iedge= 4, ipnt= 4 (X): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at -0.01562500 1.00000000 2.06250000)
iedge= 4, ipnt= 5 (X): anal= 0.00585938, fd= 0.00551471, err= 0.00034467 (at -0.02343750 1.00000000 2.09375000)
iedge= 4, ipnt= 6 (X): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at -0.03125000 1.00000000 2.12500000)
iedge= 4, ipnt= 6 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at -0.03125000 1.00000000 2.12500000)
iedge= 4, ipnt= 7 (X): anal= 0.00976563, fd= 0.00919118, err= 0.00057445 (at -0.03906250 1.00000000 2.15625000)
iedge= 4, ipnt= 7 (Z): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at -0.03906250 1.00000000 2.15625000)
iedge= 4, ipnt= 8 (X): anal= 0.01171875, fd= 0.01102941, err= 0.00068934 (at -0.04687500 1.00000000 2.18750000)
iedge= 4, ipnt= 8 (Z): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at -0.04687500 1.00000000 2.18750000)
iedge= 4, ipnt= 9 (X): anal= 0.01367187, fd= 0.01286765, err= 0.00080423 (at -0.05468750 1.00000000 2.21875000)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at -0.99518473 0.90198286 6.00000000)
iedge= 6, ipnt= 1 (Y): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at -0.99518473 0.90198286 6.00000000)
iedge= 6, ipnt= 2 (X): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at -0.98078528 0.80490968 6.00000000)
iedge= 6, ipnt= 2 (Y): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at -0.98078528 0.80490968 6.00000000)
iedge= 6, ipnt= 3 (X): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at -0.95694034 0.70971532 6.00000000)
iedge= 6, ipnt= 3 (Y): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at -0.95694034 0.70971532 6.00000000)
iedge= 6, ipnt= 4 (X): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at -0.92387953 0.61731657 6.00000000)
iedge= 6, ipnt= 4 (Y): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at -0.92387953 0.61731657 6.00000000)
iedge= 6, ipnt= 5 (X): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at -0.88192126 0.52860326 6.00000000)
iedge= 6, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at -0.88192126 0.52860326 6.00000000)
...too many errors to list
d(Edge)/d(zbase) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (X): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at -1.00000000 1.00000000 6.00000000)
inode= 2, ipnt= 0 (X): anal= -0.01562500, fd= -0.00000000, err= -0.01562500 (at 1.00000000 1.00000000 6.00000000)
d(Node)/d(zbase) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.97963497, fd= -0.92200938, err= -0.05762559 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Y): anal= 0.09648562, fd= 0.09081000, err= 0.00567562 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 182 (Z): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at -0.97963497 1.09648562 5.93750000)
iface= 1, ipnt= 183 (X): anal= -0.96546051, fd= -0.90866872, err= -0.05679179 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Y): anal= 0.19204204, fd= 0.18074545, err= 0.01129659 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 183 (Z): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at -0.96546051 1.19204204 5.93750000)
iface= 1, ipnt= 184 (X): anal= -0.94198814, fd= -0.88657708, err= -0.05541107 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Y): anal= 0.28574898, fd= 0.26894022, err= 0.01680876 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 184 (Z): anal= -0.24609375, fd= -0.23161765, err= -0.01447610 (at -0.94198814 1.28574898 5.93750000)
iface= 1, ipnt= 185 (X): anal= -0.90944391, fd= -0.85594721, err= -0.05349670 (at -0.90944391 1.37670400 5.93750000)
...too many errors to list
iface= 2, ipnt= 182 (X): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at -0.00194372 0.99980856 2.00781250)
iface= 2, ipnt= 183 (X): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at -0.00191560 0.99961896 2.00781250)
iface= 2, ipnt= 184 (X): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at -0.00186902 0.99943304 2.00781250)
iface= 2, ipnt= 185 (X): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at -0.00180445 0.99925257 2.00781250)
iface= 2, ipnt= 186 (X): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at -0.00172250 0.99907930 2.00781250)
iface= 2, ipnt= 192 (Y): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at -0.00092070 0.99827750 2.00781250)
iface= 2, ipnt= 193 (Y): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at -0.00074743 0.99819555 2.00781250)
iface= 2, ipnt= 194 (Y): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at -0.00056696 0.99813098 2.00781250)
iface= 2, ipnt= 195 (Y): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at -0.00038104 0.99808440 2.00781250)
iface= 2, ipnt= 196 (Y): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at -0.00019144 0.99805628 2.00781250)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
iedge= 1, ipnt= 1 (X): anal= 1.05738377, fd= 0.99518473, err= 0.06219905 (at 0.99518473 1.09801714 6.00000000)
iedge= 1, ipnt= 1 (Y): anal= 0.10414321, fd= 0.09801714, err= 0.00612607 (at 0.99518473 1.09801714 6.00000000)
iedge= 1, ipnt= 2 (X): anal= 1.04208436, fd= 0.98078528, err= 0.06129908 (at 0.98078528 1.19509032 6.00000000)
iedge= 1, ipnt= 2 (Y): anal= 0.20728347, fd= 0.19509032, err= 0.01219315 (at 0.98078528 1.19509032 6.00000000)
iedge= 1, ipnt= 3 (X): anal= 1.01674911, fd= 0.95694034, err= 0.05980877 (at 0.95694034 1.29028468 6.00000000)
iedge= 1, ipnt= 3 (Y): anal= 0.30842747, fd= 0.29028468, err= 0.01814279 (at 0.95694034 1.29028468 6.00000000)
iedge= 1, ipnt= 4 (X): anal= 0.98162200, fd= 0.92387953, err= 0.05774247 (at 0.92387953 1.38268343 6.00000000)
iedge= 1, ipnt= 4 (Y): anal= 0.40660115, fd= 0.38268343, err= 0.02391771 (at 0.92387953 1.38268343 6.00000000)
iedge= 1, ipnt= 5 (X): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (at 0.88192126 1.47139674 6.00000000)
iedge= 1, ipnt= 5 (Y): anal= 0.50085903, fd= 0.47139674, err= 0.02946230 (at 0.88192126 1.47139674 6.00000000)
...too many errors to list
iedge= 2, ipnt= 1 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 0.00195312 1.00000000 2.00781250)
iedge= 2, ipnt= 2 (X): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 0.00390625 1.00000000 2.01562500)
iedge= 2, ipnt= 3 (X): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 0.00781250 1.00000000 2.03125000)
iedge= 2, ipnt= 3 (Z): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at 0.00781250 1.00000000 2.03125000)
iedge= 2, ipnt= 4 (X): anal= 0.01562500, fd= 0.01470588, err= 0.00091912 (at 0.01562500 1.00000000 2.06250000)
iedge= 2, ipnt= 4 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at 0.01562500 1.00000000 2.06250000)
iedge= 2, ipnt= 5 (X): anal= 0.02343750, fd= 0.02205882, err= 0.00137868 (at 0.02343750 1.00000000 2.09375000)
iedge= 2, ipnt= 5 (Z): anal= -0.00585937, fd= -0.00551471, err= -0.00034467 (at 0.02343750 1.00000000 2.09375000)
iedge= 2, ipnt= 6 (X): anal= 0.03125000, fd= 0.02941176, err= 0.00183824 (at 0.03125000 1.00000000 2.12500000)
iedge= 2, ipnt= 6 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at 0.03125000 1.00000000 2.12500000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at -0.00195312 1.00000000 2.00781250)
iedge= 4, ipnt= 2 (X): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at -0.00390625 1.00000000 2.01562500)
iedge= 4, ipnt= 3 (X): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at -0.00781250 1.00000000 2.03125000)
iedge= 4, ipnt= 3 (Z): anal= -0.00195312, fd= -0.00183824, err= -0.00011489 (at -0.00781250 1.00000000 2.03125000)
iedge= 4, ipnt= 4 (X): anal= -0.01562500, fd= -0.01470588, err= -0.00091912 (at -0.01562500 1.00000000 2.06250000)
iedge= 4, ipnt= 4 (Z): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at -0.01562500 1.00000000 2.06250000)
iedge= 4, ipnt= 5 (X): anal= -0.02343750, fd= -0.02205882, err= -0.00137868 (at -0.02343750 1.00000000 2.09375000)
iedge= 4, ipnt= 5 (Z): anal= -0.00585937, fd= -0.00551471, err= -0.00034467 (at -0.02343750 1.00000000 2.09375000)
iedge= 4, ipnt= 6 (X): anal= -0.03125000, fd= -0.02941176, err= -0.00183824 (at -0.03125000 1.00000000 2.12500000)
iedge= 4, ipnt= 6 (Z): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at -0.03125000 1.00000000 2.12500000)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= -1.05738377, fd= -0.99518473, err= -0.06219905 (at -0.99518473 0.90198286 6.00000000)
iedge= 6, ipnt= 1 (Y): anal= -0.10414321, fd= -0.09801714, err= -0.00612607 (at -0.99518473 0.90198286 6.00000000)
iedge= 6, ipnt= 2 (X): anal= -1.04208436, fd= -0.98078528, err= -0.06129908 (at -0.98078528 0.80490968 6.00000000)
iedge= 6, ipnt= 2 (Y): anal= -0.20728347, fd= -0.19509032, err= -0.01219315 (at -0.98078528 0.80490968 6.00000000)
iedge= 6, ipnt= 3 (X): anal= -1.01674911, fd= -0.95694034, err= -0.05980877 (at -0.95694034 0.70971532 6.00000000)
iedge= 6, ipnt= 3 (Y): anal= -0.30842747, fd= -0.29028468, err= -0.01814279 (at -0.95694034 0.70971532 6.00000000)
iedge= 6, ipnt= 4 (X): anal= -0.98162200, fd= -0.92387953, err= -0.05774247 (at -0.92387953 0.61731657 6.00000000)
iedge= 6, ipnt= 4 (Y): anal= -0.40660115, fd= -0.38268343, err= -0.02391771 (at -0.92387953 0.61731657 6.00000000)
iedge= 6, ipnt= 5 (X): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (at -0.88192126 0.52860326 6.00000000)
iedge= 6, ipnt= 5 (Y): anal= -0.50085903, fd= -0.47139674, err= -0.02946230 (at -0.88192126 0.52860326 6.00000000)
...too many errors to list
d(Edge)/d(rad) check complete with 414 total errors (errmax= 6.2500e-02)
inode= 1, ipnt= 0 (X): anal= -1.06250000, fd= -1.00000000, err= -0.06250000 (at -1.00000000 1.00000000 6.00000000)
inode= 2, ipnt= 0 (X): anal= 1.06250000, fd= 1.00000000, err= 0.06250000 (at 1.00000000 1.00000000 6.00000000)
d(Node)/d(rad) check complete with 2 total errors (errmax= 6.2500e-02)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.019 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.205s
user 0m0.208s
sys 0m0.000s
++++ set +x
data/basic/designC6a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 64 / 180 )
data/basic/designC6b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designC6b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xvrtx" for ibody=1
d(Face)/d(xvrtx) check complete with 0 total errors (errmax= 2.8327e-08)
d(Edge)/d(xvrtx) check complete with 0 total errors (errmax= 3.0788e-08)
d(Node)/d(xvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
*********************************************************
Starting configuration sensitivity wrt "yvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "yvrtx" for ibody=1
d(Face)/d(yvrtx) check complete with 0 total errors (errmax= 2.8740e-08)
d(Edge)/d(yvrtx) check complete with 0 total errors (errmax= 3.1197e-08)
d(Node)/d(yvrtx) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "zvrtx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zvrtx" for ibody=1
iface= 1, ipnt= 182 (X): anal= -0.01074763, fd= 0.00365877, err= -0.01440640 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Y): anal= -0.00105855, fd= 0.00036036, err= -0.00141891 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 183 (X): anal= -0.01059212, fd= 0.00360583, err= -0.01419795 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Y): anal= -0.00210690, fd= 0.00071724, err= -0.00282415 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 184 (X): anal= -0.01033460, fd= 0.00351816, err= -0.01385277 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Y): anal= -0.00313497, fd= 0.00106722, err= -0.00420219 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Z): anal= -0.00269991, fd= 0.00091912, err= -0.00361903 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 185 (X): anal= -0.00997756, fd= 0.00339662, err= -0.01337418 (at 0.90944391 1.37670400 2.06250000)
...too many errors to list
iface= 2, ipnt= 244 (X): anal= 0.23221739, fd= 0.23233173, err= -0.00011434 (at 0.00777488 0.99923424 5.96875000)
iface= 2, ipnt= 245 (X): anal= 0.22885741, fd= 0.22897009, err= -0.00011268 (at 0.00766239 0.99847586 5.96875000)
iface= 2, ipnt= 246 (X): anal= 0.22329341, fd= 0.22340335, err= -0.00010994 (at 0.00747610 0.99773215 5.96875000)
iface= 2, ipnt= 247 (X): anal= 0.21557897, fd= 0.21568511, err= -0.00010614 (at 0.00721781 0.99701029 5.96875000)
iface= 2, ipnt= 248 (X): anal= 0.20578838, fd= 0.20588971, err= -0.00010132 (at 0.00689001 0.99631721 5.96875000)
iface= 2, ipnt= 254 (Y): anal= -0.20578838, fd= -0.20588971, err= 0.00010132 (at 0.00368279 0.99310999 5.96875000)
iface= 2, ipnt= 255 (Y): anal= -0.21557897, fd= -0.21568511, err= 0.00010614 (at 0.00298971 0.99278219 5.96875000)
iface= 2, ipnt= 256 (Y): anal= -0.22329341, fd= -0.22340335, err= 0.00010994 (at 0.00226785 0.99252390 5.96875000)
iface= 2, ipnt= 257 (Y): anal= -0.22885741, fd= -0.22897009, err= 0.00011268 (at 0.00152414 0.99233761 5.96875000)
iface= 2, ipnt= 258 (Y): anal= -0.23221739, fd= -0.23233173, err= 0.00011434 (at 0.00076576 0.99222512 5.96875000)
...too many errors to list
d(Face)/d(zvrtx) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (X): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at -0.99518473 1.09801714 2.00000000)
iedge= 1, ipnt= 1 (Y): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at -0.99518473 1.09801714 2.00000000)
iedge= 1, ipnt= 2 (X): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at -0.98078528 1.19509032 2.00000000)
iedge= 1, ipnt= 2 (Y): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at -0.98078528 1.19509032 2.00000000)
iedge= 1, ipnt= 3 (X): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at -0.95694034 1.29028468 2.00000000)
iedge= 1, ipnt= 3 (Y): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at -0.95694034 1.29028468 2.00000000)
iedge= 1, ipnt= 4 (X): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at -0.92387953 1.38268343 2.00000000)
iedge= 1, ipnt= 4 (Y): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at -0.92387953 1.38268343 2.00000000)
iedge= 1, ipnt= 5 (X): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at -0.88192126 1.47139674 2.00000000)
iedge= 1, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at -0.88192126 1.47139674 2.00000000)
...too many errors to list
iedge= 2, ipnt= 3 (X): anal= -0.23334099, fd= -0.23345588, err= 0.00011489 (at -0.00781250 1.00000000 5.96875000)
iedge= 2, ipnt= 4 (X): anal= -0.23138787, fd= -0.23161765, err= 0.00022978 (at -0.01562500 1.00000000 5.93750000)
iedge= 2, ipnt= 5 (X): anal= -0.22943474, fd= -0.22977941, err= 0.00034467 (at -0.02343750 1.00000000 5.90625000)
iedge= 2, ipnt= 6 (X): anal= -0.22748162, fd= -0.22794118, err= 0.00045956 (at -0.03125000 1.00000000 5.87500000)
iedge= 2, ipnt= 6 (Z): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at -0.03125000 1.00000000 5.87500000)
iedge= 2, ipnt= 7 (X): anal= -0.22552849, fd= -0.22610294, err= 0.00057445 (at -0.03906250 1.00000000 5.84375000)
iedge= 2, ipnt= 7 (Z): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at -0.03906250 1.00000000 5.84375000)
iedge= 2, ipnt= 8 (X): anal= -0.22357537, fd= -0.22426471, err= 0.00068934 (at -0.04687500 1.00000000 5.81250000)
iedge= 2, ipnt= 8 (Z): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at -0.04687500 1.00000000 5.81250000)
iedge= 2, ipnt= 9 (X): anal= -0.22162224, fd= -0.22242647, err= 0.00080423 (at -0.05468750 1.00000000 5.78125000)
...too many errors to list
iedge= 4, ipnt= 3 (X): anal= 0.23334099, fd= 0.23345588, err= -0.00011489 (at 0.00781250 1.00000000 5.96875000)
iedge= 4, ipnt= 4 (X): anal= 0.23138787, fd= 0.23161765, err= -0.00022978 (at 0.01562500 1.00000000 5.93750000)
iedge= 4, ipnt= 5 (X): anal= 0.22943474, fd= 0.22977941, err= -0.00034467 (at 0.02343750 1.00000000 5.90625000)
iedge= 4, ipnt= 6 (X): anal= 0.22748162, fd= 0.22794118, err= -0.00045956 (at 0.03125000 1.00000000 5.87500000)
iedge= 4, ipnt= 6 (Z): anal= 0.05687040, fd= 0.05698529, err= -0.00011489 (at 0.03125000 1.00000000 5.87500000)
iedge= 4, ipnt= 7 (X): anal= 0.22552849, fd= 0.22610294, err= -0.00057445 (at 0.03906250 1.00000000 5.84375000)
iedge= 4, ipnt= 7 (Z): anal= 0.05638212, fd= 0.05652574, err= -0.00014361 (at 0.03906250 1.00000000 5.84375000)
iedge= 4, ipnt= 8 (X): anal= 0.22357537, fd= 0.22426471, err= -0.00068934 (at 0.04687500 1.00000000 5.81250000)
iedge= 4, ipnt= 8 (Z): anal= 0.05589384, fd= 0.05606618, err= -0.00017233 (at 0.04687500 1.00000000 5.81250000)
iedge= 4, ipnt= 9 (X): anal= 0.22162224, fd= 0.22242647, err= -0.00080423 (at 0.05468750 1.00000000 5.78125000)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at 0.99518473 0.90198286 2.00000000)
iedge= 6, ipnt= 1 (Y): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at 0.99518473 0.90198286 2.00000000)
iedge= 6, ipnt= 2 (X): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at 0.98078528 0.80490968 2.00000000)
iedge= 6, ipnt= 2 (Y): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at 0.98078528 0.80490968 2.00000000)
iedge= 6, ipnt= 3 (X): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at 0.95694034 0.70971532 2.00000000)
iedge= 6, ipnt= 3 (Y): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at 0.95694034 0.70971532 2.00000000)
iedge= 6, ipnt= 4 (X): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at 0.92387953 0.61731657 2.00000000)
iedge= 6, ipnt= 4 (Y): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at 0.92387953 0.61731657 2.00000000)
iedge= 6, ipnt= 5 (X): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at 0.88192126 0.52860326 2.00000000)
iedge= 6, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at 0.88192126 0.52860326 2.00000000)
...too many errors to list
d(Edge)/d(zvrtx) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (X): anal= -0.01562500, fd= -0.00000000, err= -0.01562500 (at 1.00000000 1.00000000 2.00000000)
inode= 2, ipnt= 0 (X): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at -1.00000000 1.00000000 2.00000000)
d(Node)/d(zvrtx) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xbase" for ibody=1
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.8301e-08)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.0816e-08)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 3.1226e-08)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "ybase" for ibody=1
d(Face)/d(ybase) check complete with 0 total errors (errmax= 2.8817e-08)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 3.1391e-08)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "zbase" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.24490874, fd= 0.23050234, err= 0.01440640 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Y): anal= 0.02412141, fd= 0.02270250, err= 0.00141891 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 183 (X): anal= 0.24136513, fd= 0.22716718, err= 0.01419795 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Y): anal= 0.04801051, fd= 0.04518636, err= 0.00282415 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 184 (X): anal= 0.23549704, fd= 0.22164427, err= 0.01385277 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Y): anal= 0.07143724, fd= 0.06723505, err= 0.00420219 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Z): anal= 0.06152344, fd= 0.05790441, err= 0.00361903 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 185 (X): anal= 0.22736098, fd= 0.21398680, err= 0.01337418 (at 0.90944391 1.37670400 2.06250000)
...too many errors to list
iface= 2, ipnt= 244 (X): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.00777488 0.99923424 5.96875000)
iface= 2, ipnt= 245 (X): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.00766239 0.99847586 5.96875000)
iface= 2, ipnt= 246 (X): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.00747610 0.99773215 5.96875000)
iface= 2, ipnt= 247 (X): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.00721781 0.99701029 5.96875000)
iface= 2, ipnt= 248 (X): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.00689001 0.99631721 5.96875000)
iface= 2, ipnt= 254 (Y): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.00368279 0.99310999 5.96875000)
iface= 2, ipnt= 255 (Y): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.00298971 0.99278219 5.96875000)
iface= 2, ipnt= 256 (Y): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.00226785 0.99252390 5.96875000)
iface= 2, ipnt= 257 (Y): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.00152414 0.99233761 5.96875000)
iface= 2, ipnt= 258 (Y): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.00076576 0.99222512 5.96875000)
...too many errors to list
d(Face)/d(zbase) check complete with 12886 total errors (errmax= 1.4476e-02)
iedge= 1, ipnt= 1 (X): anal= -0.01554976, fd= -0.00000000, err= -0.01554976 (at -0.99518473 1.09801714 2.00000000)
iedge= 1, ipnt= 1 (Y): anal= 0.00153152, fd= 0.00000000, err= 0.00153152 (at -0.99518473 1.09801714 2.00000000)
iedge= 1, ipnt= 2 (X): anal= -0.01532477, fd= -0.00000000, err= -0.01532477 (at -0.98078528 1.19509032 2.00000000)
iedge= 1, ipnt= 2 (Y): anal= 0.00304829, fd= 0.00000000, err= 0.00304829 (at -0.98078528 1.19509032 2.00000000)
iedge= 1, ipnt= 3 (X): anal= -0.01495219, fd= -0.00000000, err= -0.01495219 (at -0.95694034 1.29028468 2.00000000)
iedge= 1, ipnt= 3 (Y): anal= 0.00453570, fd= 0.00000000, err= 0.00453570 (at -0.95694034 1.29028468 2.00000000)
iedge= 1, ipnt= 4 (X): anal= -0.01443562, fd= -0.00000000, err= -0.01443562 (at -0.92387953 1.38268343 2.00000000)
iedge= 1, ipnt= 4 (Y): anal= 0.00597943, fd= 0.00000000, err= 0.00597943 (at -0.92387953 1.38268343 2.00000000)
iedge= 1, ipnt= 5 (X): anal= -0.01378002, fd= -0.00000000, err= -0.01378002 (at -0.88192126 1.47139674 2.00000000)
iedge= 1, ipnt= 5 (Y): anal= 0.00736557, fd= 0.00000000, err= 0.00736557 (at -0.88192126 1.47139674 2.00000000)
...too many errors to list
iedge= 2, ipnt= 3 (X): anal= -0.00195313, fd= -0.00183824, err= -0.00011489 (at -0.00781250 1.00000000 5.96875000)
iedge= 2, ipnt= 4 (X): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at -0.01562500 1.00000000 5.93750000)
iedge= 2, ipnt= 5 (X): anal= -0.00585938, fd= -0.00551471, err= -0.00034467 (at -0.02343750 1.00000000 5.90625000)
iedge= 2, ipnt= 6 (X): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at -0.03125000 1.00000000 5.87500000)
iedge= 2, ipnt= 6 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at -0.03125000 1.00000000 5.87500000)
iedge= 2, ipnt= 7 (X): anal= -0.00976563, fd= -0.00919118, err= -0.00057445 (at -0.03906250 1.00000000 5.84375000)
iedge= 2, ipnt= 7 (Z): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at -0.03906250 1.00000000 5.84375000)
iedge= 2, ipnt= 8 (X): anal= -0.01171875, fd= -0.01102941, err= -0.00068934 (at -0.04687500 1.00000000 5.81250000)
iedge= 2, ipnt= 8 (Z): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at -0.04687500 1.00000000 5.81250000)
iedge= 2, ipnt= 9 (X): anal= -0.01367188, fd= -0.01286765, err= -0.00080423 (at -0.05468750 1.00000000 5.78125000)
...too many errors to list
iedge= 4, ipnt= 3 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 0.00781250 1.00000000 5.96875000)
iedge= 4, ipnt= 4 (X): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 0.01562500 1.00000000 5.93750000)
iedge= 4, ipnt= 5 (X): anal= 0.00585937, fd= 0.00551471, err= 0.00034467 (at 0.02343750 1.00000000 5.90625000)
iedge= 4, ipnt= 6 (X): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 0.03125000 1.00000000 5.87500000)
iedge= 4, ipnt= 6 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 0.03125000 1.00000000 5.87500000)
iedge= 4, ipnt= 7 (X): anal= 0.00976562, fd= 0.00919118, err= 0.00057445 (at 0.03906250 1.00000000 5.84375000)
iedge= 4, ipnt= 7 (Z): anal= 0.00244141, fd= 0.00229779, err= 0.00014361 (at 0.03906250 1.00000000 5.84375000)
iedge= 4, ipnt= 8 (X): anal= 0.01171875, fd= 0.01102941, err= 0.00068934 (at 0.04687500 1.00000000 5.81250000)
iedge= 4, ipnt= 8 (Z): anal= 0.00292969, fd= 0.00275735, err= 0.00017233 (at 0.04687500 1.00000000 5.81250000)
iedge= 4, ipnt= 9 (X): anal= 0.01367187, fd= 0.01286765, err= 0.00080423 (at 0.05468750 1.00000000 5.78125000)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= 0.01554976, fd= 0.00000000, err= 0.01554976 (at 0.99518473 0.90198286 2.00000000)
iedge= 6, ipnt= 1 (Y): anal= -0.00153152, fd= -0.00000000, err= -0.00153152 (at 0.99518473 0.90198286 2.00000000)
iedge= 6, ipnt= 2 (X): anal= 0.01532477, fd= 0.00000000, err= 0.01532477 (at 0.98078528 0.80490968 2.00000000)
iedge= 6, ipnt= 2 (Y): anal= -0.00304829, fd= -0.00000000, err= -0.00304829 (at 0.98078528 0.80490968 2.00000000)
iedge= 6, ipnt= 3 (X): anal= 0.01495219, fd= 0.00000000, err= 0.01495219 (at 0.95694034 0.70971532 2.00000000)
iedge= 6, ipnt= 3 (Y): anal= -0.00453570, fd= -0.00000000, err= -0.00453570 (at 0.95694034 0.70971532 2.00000000)
iedge= 6, ipnt= 4 (X): anal= 0.01443562, fd= 0.00000000, err= 0.01443562 (at 0.92387953 0.61731657 2.00000000)
iedge= 6, ipnt= 4 (Y): anal= -0.00597943, fd= -0.00000000, err= -0.00597943 (at 0.92387953 0.61731657 2.00000000)
iedge= 6, ipnt= 5 (X): anal= 0.01378002, fd= 0.00000000, err= 0.01378002 (at 0.88192126 0.52860326 2.00000000)
iedge= 6, ipnt= 5 (Y): anal= -0.00736557, fd= -0.00000000, err= -0.00736557 (at 0.88192126 0.52860326 2.00000000)
...too many errors to list
d(Edge)/d(zbase) check complete with 404 total errors (errmax= 1.5625e-02)
inode= 1, ipnt= 0 (X): anal= 0.01562500, fd= 0.00000000, err= 0.01562500 (at 1.00000000 1.00000000 2.00000000)
inode= 2, ipnt= 0 (X): anal= -0.01562500, fd= -0.00000000, err= -0.01562500 (at -1.00000000 1.00000000 2.00000000)
d(Node)/d(zbase) check complete with 2 total errors (errmax= 1.5625e-02)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "rad" for ibody=1
iface= 1, ipnt= 182 (X): anal= 0.97963497, fd= 0.92200938, err= 0.05762559 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Y): anal= 0.09648562, fd= 0.09081000, err= 0.00567562 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 182 (Z): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 0.97963497 1.09648562 2.06250000)
iface= 1, ipnt= 183 (X): anal= 0.96546051, fd= 0.90866872, err= 0.05679179 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Y): anal= 0.19204204, fd= 0.18074545, err= 0.01129659 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 183 (Z): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 0.96546051 1.19204204 2.06250000)
iface= 1, ipnt= 184 (X): anal= 0.94198814, fd= 0.88657708, err= 0.05541107 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Y): anal= 0.28574898, fd= 0.26894022, err= 0.01680876 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 184 (Z): anal= 0.24609375, fd= 0.23161765, err= 0.01447610 (at 0.94198814 1.28574898 2.06250000)
iface= 1, ipnt= 185 (X): anal= 0.90944391, fd= 0.85594721, err= 0.05349670 (at 0.90944391 1.37670400 2.06250000)
...too many errors to list
iface= 2, ipnt= 182 (X): anal= 0.00194372, fd= 0.00182938, err= 0.00011434 (at 0.00194372 0.99980856 5.99218750)
iface= 2, ipnt= 183 (X): anal= 0.00191560, fd= 0.00180291, err= 0.00011268 (at 0.00191560 0.99961896 5.99218750)
iface= 2, ipnt= 184 (X): anal= 0.00186902, fd= 0.00175908, err= 0.00010994 (at 0.00186902 0.99943304 5.99218750)
iface= 2, ipnt= 185 (X): anal= 0.00180445, fd= 0.00169831, err= 0.00010614 (at 0.00180445 0.99925257 5.99218750)
iface= 2, ipnt= 186 (X): anal= 0.00172250, fd= 0.00162118, err= 0.00010132 (at 0.00172250 0.99907930 5.99218750)
iface= 2, ipnt= 192 (Y): anal= -0.00172250, fd= -0.00162118, err= -0.00010132 (at 0.00092070 0.99827750 5.99218750)
iface= 2, ipnt= 193 (Y): anal= -0.00180445, fd= -0.00169831, err= -0.00010614 (at 0.00074743 0.99819555 5.99218750)
iface= 2, ipnt= 194 (Y): anal= -0.00186902, fd= -0.00175908, err= -0.00010994 (at 0.00056696 0.99813098 5.99218750)
iface= 2, ipnt= 195 (Y): anal= -0.00191560, fd= -0.00180291, err= -0.00011268 (at 0.00038104 0.99808440 5.99218750)
iface= 2, ipnt= 196 (Y): anal= -0.00194372, fd= -0.00182938, err= -0.00011434 (at 0.00019144 0.99805628 5.99218750)
...too many errors to list
d(Face)/d(rad) check complete with 13356 total errors (errmax= 5.7904e-02)
iedge= 1, ipnt= 1 (X): anal= -1.05738377, fd= -0.99518473, err= -0.06219905 (at -0.99518473 1.09801714 2.00000000)
iedge= 1, ipnt= 1 (Y): anal= 0.10414321, fd= 0.09801714, err= 0.00612607 (at -0.99518473 1.09801714 2.00000000)
iedge= 1, ipnt= 2 (X): anal= -1.04208436, fd= -0.98078528, err= -0.06129908 (at -0.98078528 1.19509032 2.00000000)
iedge= 1, ipnt= 2 (Y): anal= 0.20728347, fd= 0.19509032, err= 0.01219315 (at -0.98078528 1.19509032 2.00000000)
iedge= 1, ipnt= 3 (X): anal= -1.01674911, fd= -0.95694034, err= -0.05980877 (at -0.95694034 1.29028468 2.00000000)
iedge= 1, ipnt= 3 (Y): anal= 0.30842747, fd= 0.29028468, err= 0.01814279 (at -0.95694034 1.29028468 2.00000000)
iedge= 1, ipnt= 4 (X): anal= -0.98162200, fd= -0.92387953, err= -0.05774247 (at -0.92387953 1.38268343 2.00000000)
iedge= 1, ipnt= 4 (Y): anal= 0.40660115, fd= 0.38268343, err= 0.02391771 (at -0.92387953 1.38268343 2.00000000)
iedge= 1, ipnt= 5 (X): anal= -0.93704134, fd= -0.88192126, err= -0.05512008 (at -0.88192126 1.47139674 2.00000000)
iedge= 1, ipnt= 5 (Y): anal= 0.50085903, fd= 0.47139674, err= 0.02946230 (at -0.88192126 1.47139674 2.00000000)
...too many errors to list
iedge= 2, ipnt= 1 (X): anal= -0.00195313, fd= -0.00183824, err= -0.00011489 (at -0.00195312 1.00000000 5.99218750)
iedge= 2, ipnt= 2 (X): anal= -0.00390625, fd= -0.00367647, err= -0.00022978 (at -0.00390625 1.00000000 5.98437500)
iedge= 2, ipnt= 3 (X): anal= -0.00781250, fd= -0.00735294, err= -0.00045956 (at -0.00781250 1.00000000 5.96875000)
iedge= 2, ipnt= 3 (Z): anal= 0.00195313, fd= 0.00183824, err= 0.00011489 (at -0.00781250 1.00000000 5.96875000)
iedge= 2, ipnt= 4 (X): anal= -0.01562500, fd= -0.01470588, err= -0.00091912 (at -0.01562500 1.00000000 5.93750000)
iedge= 2, ipnt= 4 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at -0.01562500 1.00000000 5.93750000)
iedge= 2, ipnt= 5 (X): anal= -0.02343750, fd= -0.02205882, err= -0.00137868 (at -0.02343750 1.00000000 5.90625000)
iedge= 2, ipnt= 5 (Z): anal= 0.00585938, fd= 0.00551471, err= 0.00034467 (at -0.02343750 1.00000000 5.90625000)
iedge= 2, ipnt= 6 (X): anal= -0.03125000, fd= -0.02941176, err= -0.00183824 (at -0.03125000 1.00000000 5.87500000)
iedge= 2, ipnt= 6 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at -0.03125000 1.00000000 5.87500000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 0.00195312 1.00000000 5.99218750)
iedge= 4, ipnt= 2 (X): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 0.00390625 1.00000000 5.98437500)
iedge= 4, ipnt= 3 (X): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 0.00781250 1.00000000 5.96875000)
iedge= 4, ipnt= 3 (Z): anal= 0.00195312, fd= 0.00183824, err= 0.00011489 (at 0.00781250 1.00000000 5.96875000)
iedge= 4, ipnt= 4 (X): anal= 0.01562500, fd= 0.01470588, err= 0.00091912 (at 0.01562500 1.00000000 5.93750000)
iedge= 4, ipnt= 4 (Z): anal= 0.00390625, fd= 0.00367647, err= 0.00022978 (at 0.01562500 1.00000000 5.93750000)
iedge= 4, ipnt= 5 (X): anal= 0.02343750, fd= 0.02205882, err= 0.00137868 (at 0.02343750 1.00000000 5.90625000)
iedge= 4, ipnt= 5 (Z): anal= 0.00585937, fd= 0.00551471, err= 0.00034467 (at 0.02343750 1.00000000 5.90625000)
iedge= 4, ipnt= 6 (X): anal= 0.03125000, fd= 0.02941176, err= 0.00183824 (at 0.03125000 1.00000000 5.87500000)
iedge= 4, ipnt= 6 (Z): anal= 0.00781250, fd= 0.00735294, err= 0.00045956 (at 0.03125000 1.00000000 5.87500000)
...too many errors to list
iedge= 6, ipnt= 1 (X): anal= 1.05738377, fd= 0.99518473, err= 0.06219905 (at 0.99518473 0.90198286 2.00000000)
iedge= 6, ipnt= 1 (Y): anal= -0.10414321, fd= -0.09801714, err= -0.00612607 (at 0.99518473 0.90198286 2.00000000)
iedge= 6, ipnt= 2 (X): anal= 1.04208436, fd= 0.98078528, err= 0.06129908 (at 0.98078528 0.80490968 2.00000000)
iedge= 6, ipnt= 2 (Y): anal= -0.20728347, fd= -0.19509032, err= -0.01219315 (at 0.98078528 0.80490968 2.00000000)
iedge= 6, ipnt= 3 (X): anal= 1.01674911, fd= 0.95694034, err= 0.05980877 (at 0.95694034 0.70971532 2.00000000)
iedge= 6, ipnt= 3 (Y): anal= -0.30842747, fd= -0.29028468, err= -0.01814279 (at 0.95694034 0.70971532 2.00000000)
iedge= 6, ipnt= 4 (X): anal= 0.98162200, fd= 0.92387953, err= 0.05774247 (at 0.92387953 0.61731657 2.00000000)
iedge= 6, ipnt= 4 (Y): anal= -0.40660115, fd= -0.38268343, err= -0.02391771 (at 0.92387953 0.61731657 2.00000000)
iedge= 6, ipnt= 5 (X): anal= 0.93704134, fd= 0.88192126, err= 0.05512008 (at 0.88192126 0.52860326 2.00000000)
iedge= 6, ipnt= 5 (Y): anal= -0.50085903, fd= -0.47139674, err= -0.02946230 (at 0.88192126 0.52860326 2.00000000)
...too many errors to list
d(Edge)/d(rad) check complete with 414 total errors (errmax= 6.2500e-02)
inode= 1, ipnt= 0 (X): anal= 1.06250000, fd= 1.00000000, err= 0.06250000 (at 1.00000000 1.00000000 2.00000000)
inode= 2, ipnt= 0 (X): anal= -1.06250000, fd= -1.00000000, err= -0.06250000 (at -1.00000000 1.00000000 2.00000000)
d(Node)/d(rad) check complete with 2 total errors (errmax= 6.2500e-02)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.026 sec
Sensitivity checks complete with 40356 total errors (max config err= 6.2500e-02) with 0 suppressions
real 0m0.243s
user 0m0.244s
sys 0m0.004s
++++ set +x
data/basic/designC6b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 65 / 180 )
data/basic/designD0a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD0a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "thickness" for ibody=4
d(Face)/d(thickness) check complete with 0 total errors (errmax= 5.0004e-13)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.0004e-13)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 5.0004e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "camber" for ibody=4
d(Face)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "croot" for ibody=4
d(Face)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "aspect" for ibody=4
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.095s
user 0m0.088s
sys 0m0.008s
++++ set +x
data/basic/designD0a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 66 / 180 )
data/basic/designD0b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD0b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "thickness" for ibody=3
d(Face)/d(thickness) check complete with 0 total errors (errmax= 5.1666e-09)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.1666e-09)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "camber" for ibody=3
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.9632e-08)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.9632e-08)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "croot" for ibody=3
d(Face)/d(croot) check complete with 0 total errors (errmax= 5.7372e-10)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 4.9585e-10)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "aspect" for ibody=3
d(Face)/d(aspect) check complete with 0 total errors (errmax= 4.1605e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.003 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9632e-08) with 0 suppressions
real 0m0.070s
user 0m0.068s
sys 0m0.004s
++++ set +x
data/basic/designD0b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 67 / 180 )
data/basic/designD0c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD0c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "thickness" for ibody=3
d(Face)/d(thickness) check complete with 0 total errors (errmax= 6.4953e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 6.4126e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.0540e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "camber" for ibody=3
iface= 1, ipnt= 575 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -3.46191406)
iface= 1, ipnt= 576 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -2.96191406)
iface= 1, ipnt= 577 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -2.46191406)
iface= 1, ipnt= 582 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -1.96191406)
iface= 1, ipnt= 583 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -1.21191406)
iface= 1, ipnt= 616 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -3.91796875)
iface= 1, ipnt=1011 (Y): anal= 0.99791052, fd= 0.99772964, err= 0.00018089 (at 0.38959227 0.05840103 -3.75683594)
iface= 1, ipnt=1090 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -0.05273438)
iface= 1, ipnt=1108 (Y): anal= 0.99856746, fd= 0.99838162, err= 0.00018583 (at 0.39755254 0.05812036 -0.15820312)
iface= 2, ipnt= 575 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -0.53808594)
iface= 2, ipnt= 576 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -1.03808594)
iface= 2, ipnt= 577 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -1.53808594)
iface= 2, ipnt= 582 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -2.03808594)
iface= 2, ipnt= 583 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -2.78808594)
iface= 2, ipnt= 616 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -0.08203125)
iface= 2, ipnt=1011 (Y): anal= 0.99791052, fd= 0.99772967, err= 0.00018085 (at 0.38959227 -0.05840103 -0.24316406)
iface= 2, ipnt=1090 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -3.84179688)
iface= 2, ipnt=1108 (Y): anal= 0.99856746, fd= 0.99838164, err= 0.00018582 (at 0.39755254 -0.05812036 -3.94726562)
d(Face)/d(camber) check complete with 18 total errors (errmax= 1.8583e-04)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 5.4288e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 7.0000e-09)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "croot" for ibody=3
d(Face)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 1.2172e-09)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "aspect" for ibody=3
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.2624e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.025 sec
Sensitivity checks complete with 18 total errors (max config err= 1.8583e-04) with 0 suppressions
real 0m0.574s
user 0m0.872s
sys 0m0.008s
++++ set +x
data/basic/designD0c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 68 / 180 )
data/basic/designD1a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD1a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "thickness" for ibody=11
d(Face)/d(thickness) check complete with 0 total errors (errmax= 2.8256e-11)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.4378e-11)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 5.0004e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "camber" for ibody=11
d(Face)/d(camber) check complete with 0 total errors (errmax= 2.0817e-11)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "croot" for ibody=11
d(Face)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "aspect" for ibody=11
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "taper" for ibody=11
d(Face)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "twist" for ibody=11
d(Face)/d(twist) check complete with 0 total errors (errmax= 1.0899e-10)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.1197e-10)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1132e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "lesweep" for ibody=11
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 2.2768e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dihedral" for ibody=11
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 2.0387e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5392e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5142e-12)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.165 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.567s
user 0m0.592s
sys 0m0.004s
++++ set +x
data/basic/designD1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 69 / 180 )
data/basic/designD1b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "thickness" for ibody=9
iface= 1, ipnt= 160 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -0.06250000)
iface= 1, ipnt= 174 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -0.06250000)
iface= 1, ipnt= 175 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -0.12500000)
iface= 1, ipnt= 189 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -0.12500000)
iface= 1, ipnt= 190 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -0.18750000)
iface= 1, ipnt= 204 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -0.18750000)
iface= 1, ipnt= 205 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -0.25000000)
iface= 1, ipnt= 219 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -0.25000000)
iface= 1, ipnt= 220 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -0.31250000)
iface= 1, ipnt= 234 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -0.31250000)
...too many errors to list
iface= 2, ipnt= 160 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -0.06250000)
iface= 2, ipnt= 174 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -0.06250000)
iface= 2, ipnt= 175 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -0.12500000)
iface= 2, ipnt= 189 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -0.12500000)
iface= 2, ipnt= 190 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -0.18750000)
iface= 2, ipnt= 204 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -0.18750000)
iface= 2, ipnt= 205 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -0.25000000)
iface= 2, ipnt= 219 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -0.25000000)
iface= 2, ipnt= 220 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -0.31250000)
iface= 2, ipnt= 234 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -0.31250000)
...too many errors to list
d(Face)/d(thickness) check complete with 252 total errors (errmax= 1.7378e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 0.00000000)
iedge= 2, ipnt= 15 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 -4.00000000)
iedge= 4, ipnt= 15 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 -4.00000000)
iedge= 5, ipnt= 1 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 0.00000000)
iedge= 5, ipnt= 15 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 0.00000000)
iedge= 6, ipnt= 1 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 -4.00000000)
iedge= 6, ipnt= 15 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 -4.00000000)
d(Edge)/d(thickness) check complete with 8 total errors (errmax= 1.7378e-04)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "camber" for ibody=9
iface= 1, ipnt= 160 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 -0.06250000)
iface= 1, ipnt= 161 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.06250000)
iface= 1, ipnt= 173 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -0.06250000)
iface= 1, ipnt= 174 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 -0.06250000)
iface= 1, ipnt= 175 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 -0.12500000)
iface= 1, ipnt= 176 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.12500000)
iface= 1, ipnt= 188 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -0.12500000)
iface= 1, ipnt= 189 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 -0.12500000)
iface= 1, ipnt= 190 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 -0.18750000)
iface= 1, ipnt= 191 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.18750000)
...too many errors to list
iface= 2, ipnt= 160 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 -0.06250000)
iface= 2, ipnt= 161 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.06250000)
iface= 2, ipnt= 173 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -0.06250000)
iface= 2, ipnt= 174 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 -0.06250000)
iface= 2, ipnt= 175 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 -0.12500000)
iface= 2, ipnt= 176 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.12500000)
iface= 2, ipnt= 188 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -0.12500000)
iface= 2, ipnt= 189 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 -0.12500000)
iface= 2, ipnt= 190 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 -0.18750000)
iface= 2, ipnt= 191 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.18750000)
...too many errors to list
d(Face)/d(camber) check complete with 504 total errors (errmax= 3.4757e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 2, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 2, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 -4.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -4.00000000)
iedge= 4, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -4.00000000)
iedge= 4, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 -4.00000000)
iedge= 5, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 0.00000000)
iedge= 5, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 5, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 5, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 0.00000000)
iedge= 6, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 -4.00000000)
iedge= 6, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -4.00000000)
iedge= 6, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -4.00000000)
iedge= 6, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 -4.00000000)
d(Edge)/d(camber) check complete with 16 total errors (errmax= 3.4757e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "croot" for ibody=9
d(Face)/d(croot) check complete with 0 total errors (errmax= 2.0797e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 2.0797e-05)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "aspect" for ibody=9
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.2624e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "taper" for ibody=9
d(Face)/d(taper) check complete with 0 total errors (errmax= 2.0781e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 2.0797e-05)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "twist" for ibody=9
d(Face)/d(twist) check complete with 0 total errors (errmax= 1.0572e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.0574e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "lesweep" for ibody=9
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 6.9104e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "dihedral" for ibody=9
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 2.2043e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.8959e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.3878e-17)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.244 sec
Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions
real 0m0.916s
user 0m0.924s
sys 0m0.000s
++++ set +x
data/basic/designD1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 70 / 180 )
data/basic/designD1c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD1c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "thickness" for ibody=9
d(Face)/d(thickness) check complete with 0 total errors (errmax= 4.9164e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 4.8958e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.0540e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "camber" for ibody=9
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.5793e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.3375e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 7.0000e-09)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "croot" for ibody=9
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.7521e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 9.8852e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "aspect" for ibody=9
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.4022e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "taper" for ibody=9
d(Face)/d(taper) check complete with 0 total errors (errmax= 1.3796e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8852e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "twist" for ibody=9
d(Face)/d(twist) check complete with 0 total errors (errmax= 4.8452e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.2181e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "lesweep" for ibody=9
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 4.5871e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "dihedral" for ibody=9
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 4.8232e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5392e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 3.6360e-15)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.751 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9164e-05) with 0 suppressions
real 0m2.564s
user 0m2.896s
sys 0m0.012s
++++ set +x
data/basic/designD1c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 71 / 180 )
data/basic/designD2a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD2a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "thickness" for ibody=11
d(Face)/d(thickness) check complete with 0 total errors (errmax= 2.8256e-11)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.4378e-11)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 5.0004e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "camber" for ibody=11
d(Face)/d(camber) check complete with 0 total errors (errmax= 2.0817e-11)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "croot" for ibody=11
d(Face)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "aspect" for ibody=11
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "taper" for ibody=11
d(Face)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "twist" for ibody=11
d(Face)/d(twist) check complete with 0 total errors (errmax= 1.0899e-10)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.1197e-10)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1132e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "lesweep" for ibody=11
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 2.2768e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "dihedral" for ibody=11
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 2.1426e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5392e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5142e-12)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.170 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.572s
user 0m0.600s
sys 0m0.024s
++++ set +x
data/basic/designD2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 72 / 180 )
data/basic/designD2b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD2b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "thickness" for ibody=9
iface= 1, ipnt= 160 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.93750000)
iface= 1, ipnt= 161 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.87500000)
iface= 1, ipnt= 162 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.81250000)
iface= 1, ipnt= 163 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.75000000)
iface= 1, ipnt= 164 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.68750000)
iface= 1, ipnt= 165 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.62500000)
iface= 1, ipnt= 166 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.56250000)
iface= 1, ipnt= 167 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.50000000)
iface= 1, ipnt= 168 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.43750000)
iface= 1, ipnt= 169 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 3.37500000)
...too many errors to list
iface= 2, ipnt= 160 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.93750000)
iface= 2, ipnt= 161 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.87500000)
iface= 2, ipnt= 162 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.81250000)
iface= 2, ipnt= 163 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.75000000)
iface= 2, ipnt= 164 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.68750000)
iface= 2, ipnt= 165 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.62500000)
iface= 2, ipnt= 166 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.56250000)
iface= 2, ipnt= 167 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.50000000)
iface= 2, ipnt= 168 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.43750000)
iface= 2, ipnt= 169 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 3.37500000)
...too many errors to list
d(Face)/d(thickness) check complete with 252 total errors (errmax= 1.7378e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 0.00000000)
iedge= 2, ipnt= 15 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 4.00000000)
iedge= 4, ipnt= 15 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 4.00000000)
iedge= 5, ipnt= 1 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 0.00000000)
iedge= 5, ipnt= 15 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 0.00000000)
iedge= 6, ipnt= 1 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 4.00000000)
iedge= 6, ipnt= 15 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 4.00000000)
d(Edge)/d(thickness) check complete with 8 total errors (errmax= 1.7378e-04)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "camber" for ibody=9
iface= 1, ipnt= 160 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.93750000)
iface= 1, ipnt= 161 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.87500000)
iface= 1, ipnt= 162 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.81250000)
iface= 1, ipnt= 163 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.75000000)
iface= 1, ipnt= 164 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.68750000)
iface= 1, ipnt= 165 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.62500000)
iface= 1, ipnt= 166 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.56250000)
iface= 1, ipnt= 167 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.50000000)
iface= 1, ipnt= 168 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.43750000)
iface= 1, ipnt= 169 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 3.37500000)
...too many errors to list
iface= 2, ipnt= 160 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.93750000)
iface= 2, ipnt= 161 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.87500000)
iface= 2, ipnt= 162 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.81250000)
iface= 2, ipnt= 163 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.75000000)
iface= 2, ipnt= 164 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.68750000)
iface= 2, ipnt= 165 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.62500000)
iface= 2, ipnt= 166 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.56250000)
iface= 2, ipnt= 167 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.50000000)
iface= 2, ipnt= 168 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.43750000)
iface= 2, ipnt= 169 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 3.37500000)
...too many errors to list
d(Face)/d(camber) check complete with 504 total errors (errmax= 3.4757e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 2, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 2, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 4.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 4.00000000)
iedge= 4, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 4.00000000)
iedge= 4, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 4.00000000)
iedge= 5, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 0.00000000)
iedge= 5, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 5, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 5, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 0.00000000)
iedge= 6, ipnt= 1 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 4.00000000)
iedge= 6, ipnt= 2 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 4.00000000)
iedge= 6, ipnt= 14 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 4.00000000)
iedge= 6, ipnt= 15 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 4.00000000)
d(Edge)/d(camber) check complete with 16 total errors (errmax= 3.4757e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "croot" for ibody=9
d(Face)/d(croot) check complete with 0 total errors (errmax= 2.0797e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 2.0797e-05)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "aspect" for ibody=9
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.2624e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "taper" for ibody=9
d(Face)/d(taper) check complete with 0 total errors (errmax= 2.0781e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 2.0797e-05)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "twist" for ibody=9
d(Face)/d(twist) check complete with 0 total errors (errmax= 1.0572e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.0574e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "lesweep" for ibody=9
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 5.8595e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "dihedral" for ibody=9
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.9089e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.8959e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.3878e-17)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.172 sec
Sensitivity checks complete with 780 total errors (max config err= 3.4757e-04) with 0 suppressions
real 0m0.653s
user 0m0.660s
sys 0m0.004s
++++ set +x
data/basic/designD2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 73 / 180 )
data/basic/designD2c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD2c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "thickness" for ibody=9
d(Face)/d(thickness) check complete with 0 total errors (errmax= 4.9008e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 4.8958e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.0540e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "camber" for ibody=9
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.3375e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.3375e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 7.0000e-09)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "croot" for ibody=9
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.7521e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 9.8852e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "aspect" for ibody=9
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.4022e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "taper" for ibody=9
d(Face)/d(taper) check complete with 0 total errors (errmax= 9.4761e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8852e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "twist" for ibody=9
d(Face)/d(twist) check complete with 0 total errors (errmax= 4.0836e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.2181e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "lesweep" for ibody=9
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 6.9803e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "dihedral" for ibody=9
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 3.5650e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5392e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 3.6360e-15)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.739 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions
real 0m2.549s
user 0m2.908s
sys 0m0.004s
++++ set +x
data/basic/designD2c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 74 / 180 )
data/basic/designD3a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD3a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "thickness" for ibody=18
d(Face)/d(thickness) check complete with 0 total errors (errmax= 2.8256e-11)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.4378e-11)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 5.0004e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "camber" for ibody=18
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.3878e-11)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "croot" for ibody=18
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.7704e-11)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "aspect" for ibody=18
d(Face)/d(aspect) check complete with 0 total errors (errmax= 1.3878e-11)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "taper" for ibody=18
d(Face)/d(taper) check complete with 0 total errors (errmax= 1.7895e-11)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "twist" for ibody=18
d(Face)/d(twist) check complete with 0 total errors (errmax= 2.1213e-11)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.1197e-10)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1132e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "lesweep" for ibody=18
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.3878e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "dihedral" for ibody=18
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 2.0817e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5392e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5142e-12)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.150 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m0.672s
user 0m0.700s
sys 0m0.004s
++++ set +x
data/basic/designD3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 75 / 180 )
data/basic/designD3b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD3b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "thickness" for ibody=15
d(Face)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "camber" for ibody=15
iface= 1, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.12500000)
iface= 1, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.25000000)
iface= 1, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.37500000)
iface= 1, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.50000000)
iface= 1, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.62500000)
iface= 1, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.75000000)
iface= 1, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.87500000)
iface= 1, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.00000000)
iface= 1, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.12500000)
iface= 1, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.25000000)
...too many errors to list
iface= 2, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.87500000)
iface= 2, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.75000000)
iface= 2, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.62500000)
iface= 2, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.50000000)
iface= 2, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.37500000)
iface= 2, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.25000000)
iface= 2, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.12500000)
iface= 2, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.00000000)
iface= 2, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.87500000)
iface= 2, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.75000000)
...too many errors to list
iface= 3, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.12500000)
iface= 3, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.25000000)
iface= 3, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.37500000)
iface= 3, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.50000000)
iface= 3, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.62500000)
iface= 3, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.75000000)
iface= 3, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.87500000)
iface= 3, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.00000000)
iface= 3, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.12500000)
iface= 3, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.25000000)
...too many errors to list
iface= 4, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.87500000)
iface= 4, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.75000000)
iface= 4, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.62500000)
iface= 4, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.50000000)
iface= 4, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.37500000)
iface= 4, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.25000000)
iface= 4, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.12500000)
iface= 4, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.00000000)
iface= 4, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.87500000)
iface= 4, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.75000000)
...too many errors to list
d(Face)/d(camber) check complete with 248 total errors (errmax= 1.4804e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -4.00000000)
iedge= 2, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -4.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 4, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 4.00000000)
iedge= 7, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 4.00000000)
iedge= 8, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -4.00000000)
iedge= 8, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -4.00000000)
iedge= 9, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 9, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 10, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 4.00000000)
iedge= 10, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 4.00000000)
d(Edge)/d(camber) check complete with 12 total errors (errmax= 1.4804e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "croot" for ibody=15
d(Face)/d(croot) check complete with 0 total errors (errmax= 8.9196e-06)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 8.9195e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "aspect" for ibody=15
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.5573e-11)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 8.1829e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "taper" for ibody=15
d(Face)/d(taper) check complete with 0 total errors (errmax= 8.8940e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9195e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "twist" for ibody=15
d(Face)/d(twist) check complete with 0 total errors (errmax= 9.1713e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 9.1966e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "lesweep" for ibody=15
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 5.1421e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "dihedral" for ibody=15
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.9357e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.8959e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.3878e-17)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.240 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m1.103s
user 0m1.124s
sys 0m0.000s
++++ set +x
data/basic/designD3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 76 / 180 )
data/basic/designD3c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD3c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "thickness" for ibody=15
d(Face)/d(thickness) check complete with 0 total errors (errmax= 4.9007e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 4.8958e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.0540e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "camber" for ibody=15
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.3574e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.3375e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 7.0000e-09)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "croot" for ibody=15
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.0120e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 9.8852e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "aspect" for ibody=15
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.3268e-11)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.7065e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "taper" for ibody=15
d(Face)/d(taper) check complete with 0 total errors (errmax= 9.2044e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8852e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "twist" for ibody=15
d(Face)/d(twist) check complete with 0 total errors (errmax= 4.0104e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.2181e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "lesweep" for ibody=15
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 5.2313e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "dihedral" for ibody=15
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 3.4345e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5334e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 3.6360e-15)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.333 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions
real 0m4.385s
user 0m7.136s
sys 0m0.012s
++++ set +x
data/basic/designD3c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 77 / 180 )
data/basic/designD4a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD4a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32
Comparing configuration sensitivities wrt "thickness" for ibody=32
d(Face)/d(thickness) check complete with 0 total errors (errmax= 2.1317e-11)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.4378e-11)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 5.0004e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32
Comparing configuration sensitivities wrt "camber" for ibody=32
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.3878e-11)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32
Comparing configuration sensitivities wrt "croot" for ibody=32
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.7704e-11)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32
Comparing configuration sensitivities wrt "aspect" for ibody=32
d(Face)/d(aspect) check complete with 0 total errors (errmax= 1.3878e-11)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32
Comparing configuration sensitivities wrt "taper" for ibody=32
d(Face)/d(taper) check complete with 0 total errors (errmax= 2.0931e-11)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32
Comparing configuration sensitivities wrt "twist" for ibody=32
d(Face)/d(twist) check complete with 0 total errors (errmax= 2.1866e-11)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 2.6731e-10)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1132e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32
Comparing configuration sensitivities wrt "lesweep" for ibody=32
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.3878e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 8.4024e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=32
Computing finite difference sensitivities for ibody=32
Comparing configuration sensitivities wrt "dihedral" for ibody=32
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.9204e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5392e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5142e-12)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.234 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 0 suppressions
real 0m1.029s
user 0m1.056s
sys 0m0.008s
++++ set +x
data/basic/designD4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 78 / 180 )
data/basic/designD4b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD4b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "thickness" for ibody=27
d(Face)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "camber" for ibody=27
iface= 1, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.12500000)
iface= 1, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.25000000)
iface= 1, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.37500000)
iface= 1, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.50000000)
iface= 1, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.62500000)
iface= 1, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.75000000)
iface= 1, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.87500000)
iface= 1, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -3.00000000)
iface= 1, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -3.12500000)
iface= 1, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -3.25000000)
...too many errors to list
iface= 2, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.12500000)
iface= 2, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.25000000)
iface= 2, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.37500000)
iface= 2, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.50000000)
iface= 2, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.62500000)
iface= 2, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.75000000)
iface= 2, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.87500000)
iface= 2, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.00000000)
iface= 2, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.12500000)
iface= 2, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.25000000)
...too many errors to list
iface= 3, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.87500000)
iface= 3, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.75000000)
iface= 3, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.62500000)
iface= 3, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.50000000)
iface= 3, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.37500000)
iface= 3, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.25000000)
iface= 3, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.12500000)
iface= 3, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 1.00000000)
iface= 3, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.87500000)
iface= 3, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.75000000)
...too many errors to list
iface= 4, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.87500000)
iface= 4, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.75000000)
iface= 4, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.62500000)
iface= 4, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.50000000)
iface= 4, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.37500000)
iface= 4, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.25000000)
iface= 4, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.12500000)
iface= 4, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.00000000)
iface= 4, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.87500000)
iface= 4, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.75000000)
...too many errors to list
iface= 5, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.12500000)
iface= 5, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.25000000)
iface= 5, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.37500000)
iface= 5, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.50000000)
iface= 5, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.62500000)
iface= 5, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.75000000)
iface= 5, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.87500000)
iface= 5, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -3.00000000)
iface= 5, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -3.12500000)
iface= 5, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -3.25000000)
...too many errors to list
iface= 6, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.12500000)
iface= 6, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.25000000)
iface= 6, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.37500000)
iface= 6, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.50000000)
iface= 6, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.62500000)
iface= 6, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.75000000)
iface= 6, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.87500000)
iface= 6, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.00000000)
iface= 6, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.12500000)
iface= 6, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.25000000)
...too many errors to list
iface= 7, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.87500000)
iface= 7, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.75000000)
iface= 7, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.62500000)
iface= 7, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.50000000)
iface= 7, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.37500000)
iface= 7, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.25000000)
iface= 7, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.12500000)
iface= 7, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 1.00000000)
iface= 7, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.87500000)
iface= 7, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.75000000)
...too many errors to list
iface= 8, ipnt= 48 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.87500000)
iface= 8, ipnt= 49 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.75000000)
iface= 8, ipnt= 50 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.62500000)
iface= 8, ipnt= 51 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.50000000)
iface= 8, ipnt= 52 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.37500000)
iface= 8, ipnt= 53 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.25000000)
iface= 8, ipnt= 54 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.12500000)
iface= 8, ipnt= 55 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.00000000)
iface= 8, ipnt= 56 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.87500000)
iface= 8, ipnt= 57 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.75000000)
...too many errors to list
d(Face)/d(camber) check complete with 240 total errors (errmax= 1.4804e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -4.00000000)
iedge= 2, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -4.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -2.00000000)
iedge= 4, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -2.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 7, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 10, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.00000000)
iedge= 10, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 2.00000000)
iedge= 13, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 4.00000000)
iedge= 13, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 4.00000000)
iedge= 14, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -4.00000000)
iedge= 14, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -4.00000000)
iedge= 15, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -2.00000000)
iedge= 15, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -2.00000000)
iedge= 16, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 16, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 17, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.00000000)
iedge= 17, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 2.00000000)
iedge= 18, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 4.00000000)
iedge= 18, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 4.00000000)
d(Edge)/d(camber) check complete with 20 total errors (errmax= 1.4804e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "croot" for ibody=27
d(Face)/d(croot) check complete with 0 total errors (errmax= 8.9196e-06)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 8.9195e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "aspect" for ibody=27
d(Face)/d(aspect) check complete with 0 total errors (errmax= 1.6107e-11)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 8.1829e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "taper" for ibody=27
d(Face)/d(taper) check complete with 0 total errors (errmax= 8.8695e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9195e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "twist" for ibody=27
d(Face)/d(twist) check complete with 0 total errors (errmax= 9.1458e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 9.1966e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "lesweep" for ibody=27
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 3.5333e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 8.4024e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "dihedral" for ibody=27
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.7983e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.8959e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.3878e-17)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.434 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m1.961s
user 0m1.964s
sys 0m0.020s
++++ set +x
data/basic/designD4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 79 / 180 )
data/basic/designD4c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD4c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "thickness" for ibody=27
d(Face)/d(thickness) check complete with 0 total errors (errmax= 4.9008e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 4.8958e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.0540e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "camber" for ibody=27
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.3345e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.3375e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 7.0000e-09)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "croot" for ibody=27
d(Face)/d(croot) check complete with 0 total errors (errmax= 9.8506e-06)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 9.8852e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "aspect" for ibody=27
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.2346e-11)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.2624e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "taper" for ibody=27
d(Face)/d(taper) check complete with 0 total errors (errmax= 9.7630e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8852e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "twist" for ibody=27
d(Face)/d(twist) check complete with 0 total errors (errmax= 4.1492e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.2181e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "lesweep" for ibody=27
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 5.9113e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 8.4024e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "dihedral" for ibody=27
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 3.3707e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.4625e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.0660e-13)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.146 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9008e-05) with 0 suppressions
real 0m6.302s
user 0m7.444s
sys 0m0.016s
++++ set +x
data/basic/designD4c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 80 / 180 )
data/basic/designD5a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD5a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "thickness" for ibody=20
d(Face)/d(thickness) check complete with 0 total errors (errmax= 2.8256e-11)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.4378e-11)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 5.0004e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "camber" for ibody=20
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.3878e-11)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "croot" for ibody=20
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.7704e-11)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "aspect" for ibody=20
d(Face)/d(aspect) check complete with 0 total errors (errmax= 1.3878e-11)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "taper" for ibody=20
d(Face)/d(taper) check complete with 0 total errors (errmax= 1.7895e-11)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "twist" for ibody=20
d(Face)/d(twist) check complete with 0 total errors (errmax= 2.1213e-11)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.1197e-10)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1132e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "lesweep" for ibody=20
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.3878e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "dihedral" for ibody=20
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 2.0817e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5392e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.5142e-12)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "rottip" for ibody=20
d(Face)/d(rottip) check complete with 0 total errors (errmax= 1.3878e-11)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 5.5998e-10)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.1102e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.189 sec
Sensitivity checks complete with 0 total errors (max config err= 5.5998e-10) with 0 suppressions
real 0m0.775s
user 0m0.796s
sys 0m0.016s
++++ set +x
data/basic/designD5a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 81 / 180 )
data/basic/designD5b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD5b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "thickness" for ibody=17
d(Face)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "camber" for ibody=17
iface= 1, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.12500000)
iface= 1, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.25000000)
iface= 1, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.37500000)
iface= 1, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.50000000)
iface= 1, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.62500000)
iface= 1, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.75000000)
iface= 1, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -0.87500000)
iface= 1, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.00000000)
iface= 1, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.12500000)
iface= 1, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -1.25000000)
...too many errors to list
iface= 2, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.87500000)
iface= 2, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.75000000)
iface= 2, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.62500000)
iface= 2, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.50000000)
iface= 2, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.37500000)
iface= 2, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.25000000)
iface= 2, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.12500000)
iface= 2, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 3.00000000)
iface= 2, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.87500000)
iface= 2, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 2.75000000)
...too many errors to list
iface= 3, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.12500000)
iface= 3, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.25000000)
iface= 3, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.37500000)
iface= 3, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.50000000)
iface= 3, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.62500000)
iface= 3, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.75000000)
iface= 3, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -0.87500000)
iface= 3, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.00000000)
iface= 3, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.12500000)
iface= 3, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -1.25000000)
...too many errors to list
iface= 4, ipnt= 80 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.87500000)
iface= 4, ipnt= 81 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.75000000)
iface= 4, ipnt= 82 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.62500000)
iface= 4, ipnt= 83 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.50000000)
iface= 4, ipnt= 84 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.37500000)
iface= 4, ipnt= 85 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.25000000)
iface= 4, ipnt= 86 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.12500000)
iface= 4, ipnt= 87 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 3.00000000)
iface= 4, ipnt= 88 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.87500000)
iface= 4, ipnt= 89 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 2.75000000)
...too many errors to list
d(Face)/d(camber) check complete with 248 total errors (errmax= 1.4804e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 -4.00000000)
iedge= 2, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 -4.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 4, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 4.00000000)
iedge= 7, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 4.00000000)
iedge= 8, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 -4.00000000)
iedge= 8, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 -4.00000000)
iedge= 9, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 9, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 10, ipnt= 1 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 4.00000000)
iedge= 10, ipnt= 7 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 4.00000000)
d(Edge)/d(camber) check complete with 12 total errors (errmax= 1.4804e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "croot" for ibody=17
d(Face)/d(croot) check complete with 0 total errors (errmax= 8.9196e-06)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 8.9195e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "aspect" for ibody=17
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.5573e-11)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 8.1829e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "taper" for ibody=17
d(Face)/d(taper) check complete with 0 total errors (errmax= 8.8940e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9195e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "twist" for ibody=17
d(Face)/d(twist) check complete with 0 total errors (errmax= 9.1713e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 9.1966e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "lesweep" for ibody=17
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 5.1421e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "dihedral" for ibody=17
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.9357e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.8959e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 1.3878e-17)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "rottip" for ibody=17
d(Face)/d(rottip) check complete with 0 total errors (errmax= 5.8398e-11)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 3.7677e-08)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.1102e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.325 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m1.486s
user 0m1.492s
sys 0m0.008s
++++ set +x
data/basic/designD5b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 82 / 180 )
data/basic/designD5c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD5c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "thickness" for ibody=17
d(Face)/d(thickness) check complete with 0 total errors (errmax= 4.9007e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 4.8958e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.0540e-13)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "camber" for ibody=17
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.3574e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.3375e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 7.0000e-09)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "croot" for ibody=17
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.0120e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 9.8852e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 3.2907e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "aspect" for ibody=17
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.3268e-11)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.7065e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "taper" for ibody=17
d(Face)/d(taper) check complete with 0 total errors (errmax= 9.2044e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8852e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 2.7956e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "twist" for ibody=17
d(Face)/d(twist) check complete with 0 total errors (errmax= 4.0104e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.2181e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "lesweep" for ibody=17
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 5.2313e-11)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.9369e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 5.3997e-11)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "dihedral" for ibody=17
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 3.4345e-11)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5334e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 3.6360e-15)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "rottip" for ibody=17
d(Face)/d(rottip) check complete with 0 total errors (errmax= 3.6886e-11)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 1.8376e-07)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.1102e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.450 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9007e-05) with 0 suppressions
real 0m4.930s
user 0m7.780s
sys 0m0.020s
++++ set +x
data/basic/designD5c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 83 / 180 )
data/basic/designD6a0.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6a0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "thickness" for ibody=27
d(Face)/d(thickness) check complete with 0 total errors (errmax= 1.4365e-10)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.2252e-10)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.1502e-11)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "camber" for ibody=27
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.2934e-10)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "croot" for ibody=27
d(Face)/d(croot) check complete with 0 total errors (errmax= 4.4241e-10)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 5.6261e-10)
d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "aspect" for ibody=27
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.8322e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 9.5851e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.1442e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "taper" for ibody=27
d(Face)/d(taper) check complete with 0 total errors (errmax= 3.5861e-10)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 6.0862e-10)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "twist" for ibody=27
d(Face)/d(twist) check complete with 0 total errors (errmax= 1.3263e-10)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 2.5324e-10)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.5519e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "lesweep" for ibody=27
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 4.4923e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.3353e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "dihedral" for ibody=27
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.4675e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "rottip" for ibody=27
d(Face)/d(rottip) check complete with 0 total errors (errmax= 1.0195e-10)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 9.2569e-10)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "xbase" for ibody=27
d(Face)/d(xbase) check complete with 0 total errors (errmax= 5.1879e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 2.9997e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "ybase" for ibody=27
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.3880e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=27
Computing finite difference sensitivities for ibody=27
Comparing configuration sensitivities wrt "zbase" for ibody=27
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.3567e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 7.4840e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.195 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m3.527s
user 0m3.644s
sys 0m0.000s
++++ set +x
data/basic/designD6a0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 84 / 180 )
data/basic/designD6a1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6a1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "thickness" for ibody=24
d(Face)/d(thickness) check complete with 0 total errors (errmax= 1.3985e-10)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.2252e-10)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.1502e-11)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "camber" for ibody=24
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.1024e-10)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "croot" for ibody=24
d(Face)/d(croot) check complete with 0 total errors (errmax= 4.9247e-10)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 5.6261e-10)
d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "aspect" for ibody=24
d(Face)/d(aspect) check complete with 0 total errors (errmax= 5.0505e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 9.5851e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.1442e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "taper" for ibody=24
d(Face)/d(taper) check complete with 0 total errors (errmax= 3.3415e-10)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 6.0862e-10)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "twist" for ibody=24
d(Face)/d(twist) check complete with 0 total errors (errmax= 4.3770e-10)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.7875e-10)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.5519e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "lesweep" for ibody=24
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 5.9275e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.9745e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "dihedral" for ibody=24
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.9165e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "rottip" for ibody=24
d(Face)/d(rottip) check complete with 0 total errors (errmax= 1.5090e-10)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 9.2569e-10)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "xbase" for ibody=24
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.9994e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 2.9997e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "ybase" for ibody=24
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.3681e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "zbase" for ibody=24
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.5271e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 7.4840e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.233 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m1.962s
user 0m2.012s
sys 0m0.004s
++++ set +x
data/basic/designD6a1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 85 / 180 )
data/basic/designD6a2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6a2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "thickness" for ibody=21
d(Face)/d(thickness) check complete with 0 total errors (errmax= 2.1055e-10)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 1.3114e-10)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 1.1502e-11)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "camber" for ibody=21
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.0477e-10)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "croot" for ibody=21
d(Face)/d(croot) check complete with 0 total errors (errmax= 3.9186e-10)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 5.6261e-10)
d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "aspect" for ibody=21
d(Face)/d(aspect) check complete with 0 total errors (errmax= 4.2419e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 9.5851e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.1442e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "taper" for ibody=21
d(Face)/d(taper) check complete with 0 total errors (errmax= 4.4475e-10)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 6.0862e-10)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "twist" for ibody=21
d(Face)/d(twist) check complete with 0 total errors (errmax= 2.2203e-10)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.1819e-10)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.5519e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "lesweep" for ibody=21
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 5.8269e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.6538e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "dihedral" for ibody=21
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.7540e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5528e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "rottip" for ibody=21
d(Face)/d(rottip) check complete with 0 total errors (errmax= 1.7140e-10)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 9.2569e-10)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "xbase" for ibody=21
d(Face)/d(xbase) check complete with 0 total errors (errmax= 3.0425e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 5.1398e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "ybase" for ibody=21
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.1988e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "zbase" for ibody=21
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.0200e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 7.4840e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.191 sec
Sensitivity checks complete with 0 total errors (max config err= 9.5851e-10) with 0 suppressions
real 0m1.669s
user 0m1.720s
sys 0m0.004s
++++ set +x
data/basic/designD6a2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 86 / 180 )
data/basic/designD6b0.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6b0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "thickness" for ibody=22
iface= 1, ipnt= 115 (Y): anal= 0.12194556, fd= 0.12204863, err= -0.00010307 (at 1.04768943 0.09836243 -0.95124191)
iface= 1, ipnt= 127 (Y): anal= 0.12311974, fd= 0.12322380, err= -0.00010406 (at 0.23492304 0.09836243 -0.95124190)
iface= 1, ipnt= 252 (Y): anal= 0.10907406, fd= 0.10922912, err= -0.00015506 (at 1.04028582 0.08594303 -0.82731726)
iface= 1, ipnt= 254 (Y): anal= 0.09641867, fd= 0.09661938, err= -0.00020071 (at 1.03306800 0.07386969 -0.70708887)
iface= 1, ipnt= 256 (Y): anal= 0.08739719, fd= 0.08762564, err= -0.00022845 (at 1.02436546 0.06273417 -0.59250389)
iface= 1, ipnt= 258 (Y): anal= 0.08200219, fd= 0.08224527, err= -0.00024308 (at 1.01462521 0.05280494 -0.48661382)
iface= 1, ipnt= 260 (Y): anal= 0.07834290, fd= 0.07859512, err= -0.00025222 (at 1.00463496 0.04362489 -0.38684535)
iface= 1, ipnt= 262 (Y): anal= 0.07307583, fd= 0.07333921, err= -0.00026338 (at 0.98790282 0.02871752 -0.22388826)
iface= 1, ipnt= 264 (Y): anal= 0.06790010, fd= 0.06817040, err= -0.00027029 (at 0.97607622 0.01742789 -0.10216588)
iface= 1, ipnt= 266 (Y): anal= 0.06268463, fd= 0.06295761, err= -0.00027299 (at 0.96982516 0.01017124 -0.02660974)
...too many errors to list
iface= 2, ipnt= 115 (Y): anal= 0.12311976, fd= 0.12322382, err= -0.00010406 (at 0.23492291 0.09836237 0.95124113)
iface= 2, ipnt= 127 (Y): anal= 0.12194558, fd= 0.12204865, err= -0.00010307 (at 1.04768932 0.09836237 0.95124114)
iface= 2, ipnt= 252 (Y): anal= 0.11014265, fd= 0.11029923, err= -0.00015658 (at 0.20550871 0.08594297 0.82731655)
iface= 2, ipnt= 254 (Y): anal= 0.09737854, fd= 0.09758125, err= -0.00020271 (at 0.17700688 0.07386963 0.70708826)
iface= 2, ipnt= 256 (Y): anal= 0.08827691, fd= 0.08850765, err= -0.00023074 (at 0.15166641 0.06273412 0.59250337)
iface= 2, ipnt= 258 (Y): anal= 0.08283305, fd= 0.08307858, err= -0.00024554 (at 0.12994689 0.05280490 0.48661338)
iface= 2, ipnt= 260 (Y): anal= 0.07914023, fd= 0.07939502, err= -0.00025479 (at 0.11029603 0.04362482 0.38684465)
iface= 2, ipnt= 262 (Y): anal= 0.07382432, fd= 0.07409040, err= -0.00026608 (at 0.07861391 0.02871747 0.22388779)
iface= 2, ipnt= 264 (Y): anal= 0.06859974, fd= 0.06887282, err= -0.00027308 (at 0.05427702 0.01742786 0.10216562)
iface= 2, ipnt= 266 (Y): anal= 0.06333422, fd= 0.06361004, err= -0.00027582 (at 0.03808051 0.01017123 0.02660969)
...too many errors to list
iface= 3, ipnt= 115 (Y): anal= -0.12162732, fd= -0.12173012, err= 0.00010280 (at 0.23492303 0.06808334 -0.95124191)
iface= 3, ipnt= 127 (Y): anal= -0.12296417, fd= -0.12306810, err= 0.00010393 (at 1.04768941 0.06808333 -0.95124190)
iface= 3, ipnt= 252 (Y): anal= -0.10878336, fd= -0.10893801, err= 0.00015465 (at 0.20550882 0.05881874 -0.82731726)
iface= 3, ipnt= 254 (Y): anal= -0.09615652, fd= -0.09635669, err= 0.00020017 (at 0.17700697 0.04985484 -0.70708887)
iface= 3, ipnt= 256 (Y): anal= -0.08715621, fd= -0.08738402, err= 0.00022782 (at 0.15166650 0.04094058 -0.59250389)
iface= 3, ipnt= 258 (Y): anal= -0.08177416, fd= -0.08201656, err= 0.00024240 (at 0.12994698 0.03234145 -0.48661382)
iface= 3, ipnt= 260 (Y): anal= -0.07812376, fd= -0.07837527, err= 0.00025152 (at 0.11029618 0.02406428 -0.38684535)
iface= 3, ipnt= 262 (Y): anal= -0.07286969, fd= -0.07313233, err= 0.00026264 (at 0.07861402 0.01045785 -0.22388826)
iface= 3, ipnt= 264 (Y): anal= -0.06770705, fd= -0.06797657, err= 0.00026952 (at 0.05427710 0.00044882 -0.10216588)
iface= 3, ipnt= 266 (Y): anal= -0.06250504, fd= -0.06277725, err= 0.00027221 (at 0.03808055 -0.00551514 -0.02660974)
...too many errors to list
iface= 4, ipnt= 115 (Y): anal= -0.12296419, fd= -0.12306812, err= 0.00010393 (at 1.04768931 0.06808326 0.95124113)
iface= 4, ipnt= 127 (Y): anal= -0.12162734, fd= -0.12173014, err= 0.00010280 (at 0.23492291 0.06808327 0.95124114)
iface= 4, ipnt= 252 (Y): anal= -0.11000281, fd= -0.11015920, err= 0.00015638 (at 1.04028572 0.05881867 0.82731655)
iface= 4, ipnt= 254 (Y): anal= -0.09725436, fd= -0.09745681, err= 0.00020245 (at 1.03306792 0.04985478 0.70708826)
iface= 4, ipnt= 256 (Y): anal= -0.08816400, fd= -0.08839445, err= 0.00023045 (at 1.02436540 0.04094053 0.59250337)
iface= 4, ipnt= 258 (Y): anal= -0.08272690, fd= -0.08297213, err= 0.00024522 (at 1.01462517 0.03234141 0.48661338)
iface= 4, ipnt= 260 (Y): anal= -0.07903869, fd= -0.07929316, err= 0.00025446 (at 1.00463490 0.02406422 0.38684465)
iface= 4, ipnt= 262 (Y): anal= -0.07372943, fd= -0.07399517, err= 0.00026574 (at 0.98790280 0.01045781 0.22388779)
iface= 4, ipnt= 264 (Y): anal= -0.06851142, fd= -0.06878415, err= 0.00027273 (at 0.97607622 0.00044881 0.10216562)
iface= 4, ipnt= 266 (Y): anal= -0.06325256, fd= -0.06352802, err= 0.00027546 (at 0.96982519 -0.00551514 0.02660969)
...too many errors to list
d(Face)/d(thickness) check complete with 96 total errors (errmax= 2.7582e-04)
iedge= 4, ipnt= 1 (Y): anal= 0.05851275, fd= 0.05878781, err= -0.00027506 (at 0.96929200 0.00723521 0.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.93847941 0.01401123 0.00000000)
iedge= 4, ipnt= 10 (Y): anal= 0.11404533, fd= 0.11421911, err= -0.00017378 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 11 (Y): anal= 0.05851275, fd= 0.05878781, err= -0.00027506 (at 0.03070800 0.00723521 0.00000000)
iedge= 9, ipnt= 1 (Y): anal= -0.05851275, fd= -0.05878781, err= 0.00027506 (at 0.03070800 -0.00723521 0.00000000)
iedge= 9, ipnt= 2 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.06152059 -0.01401123 0.00000000)
iedge= 9, ipnt= 10 (Y): anal= -0.11404533, fd= -0.11421911, err= 0.00017378 (at 0.93847941 -0.01401123 0.00000000)
iedge= 9, ipnt= 11 (Y): anal= -0.05851275, fd= -0.05878781, err= 0.00027506 (at 0.96929200 -0.00723521 0.00000000)
d(Edge)/d(thickness) check complete with 8 total errors (errmax= 2.7506e-04)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "camber" for ibody=22
iface= 1, ipnt= 115 (Y): anal= 0.24389112, fd= 0.24409726, err= -0.00020615 (at 1.04768943 0.09836243 -0.95124191)
iface= 1, ipnt= 127 (Y): anal= 0.24623948, fd= 0.24644761, err= -0.00020813 (at 0.23492304 0.09836243 -0.95124190)
iface= 1, ipnt= 133 (Y): anal= 0.47705895, fd= 0.47694437, err= 0.00011459 (at 0.88348138 0.04766555 -0.20922139)
iface= 1, ipnt= 134 (Y): anal= 0.45964142, fd= 0.45950892, err= 0.00013250 (at 0.87594348 0.03660674 -0.09486588)
iface= 1, ipnt= 135 (Y): anal= 0.44172396, fd= 0.44158070, err= 0.00014326 (at 0.87380724 0.02944103 -0.02538195)
iface= 1, ipnt= 136 (Y): anal= 0.43287042, fd= 0.43272470, err= 0.00014573 (at 0.87455004 0.02724673 -0.00644688)
iface= 1, ipnt= 154 (Y): anal= 0.48093328, fd= 0.48081776, err= 0.00011552 (at 0.17867802 0.04766556 -0.20922141)
iface= 1, ipnt= 155 (Y): anal= 0.46344470, fd= 0.46331111, err= 0.00013359 (at 0.15224107 0.03660675 -0.09486590)
iface= 1, ipnt= 156 (Y): anal= 0.44544223, fd= 0.44529777, err= 0.00014447 (at 0.13373373 0.02944103 -0.02538195)
iface= 1, ipnt= 157 (Y): anal= 0.43654294, fd= 0.43639597, err= 0.00014697 (at 0.12736534 0.02724674 -0.00644688)
...too many errors to list
iface= 2, ipnt= 115 (Y): anal= 0.24623952, fd= 0.24644765, err= -0.00020813 (at 0.23492291 0.09836237 0.95124113)
iface= 2, ipnt= 127 (Y): anal= 0.24389117, fd= 0.24409731, err= -0.00020615 (at 1.04768932 0.09836237 0.95124114)
iface= 2, ipnt= 133 (Y): anal= 0.48093282, fd= 0.48081730, err= 0.00011552 (at 0.17867762 0.04766542 0.20922008)
iface= 2, ipnt= 134 (Y): anal= 0.46344426, fd= 0.46331066, err= 0.00013360 (at 0.15224079 0.03660666 0.09486518)
iface= 2, ipnt= 135 (Y): anal= 0.44544191, fd= 0.44529744, err= 0.00014447 (at 0.13373360 0.02944100 0.02538182)
iface= 2, ipnt= 136 (Y): anal= 0.43654273, fd= 0.43639577, err= 0.00014697 (at 0.12736526 0.02724672 0.00644684)
iface= 2, ipnt= 154 (Y): anal= 0.47705854, fd= 0.47694395, err= 0.00011459 (at 0.88348137 0.04766541 0.20922007)
iface= 2, ipnt= 155 (Y): anal= 0.45964101, fd= 0.45950851, err= 0.00013250 (at 0.87594354 0.03660665 0.09486517)
iface= 2, ipnt= 156 (Y): anal= 0.44172366, fd= 0.44158040, err= 0.00014326 (at 0.87380732 0.02944100 0.02538182)
iface= 2, ipnt= 157 (Y): anal= 0.43287023, fd= 0.43272450, err= 0.00014573 (at 0.87455010 0.02724672 0.00644684)
...too many errors to list
iface= 3, ipnt= 115 (Y): anal= 0.24325463, fd= 0.24346021, err= -0.00020558 (at 0.23492303 0.06808334 -0.95124191)
iface= 3, ipnt= 127 (Y): anal= 0.24592834, fd= 0.24613618, err= -0.00020784 (at 1.04768941 0.06808333 -0.95124190)
iface= 3, ipnt= 133 (Y): anal= 0.47601821, fd= 0.47590383, err= 0.00011438 (at 0.17867796 -0.01105655 -0.20922139)
iface= 3, ipnt= 134 (Y): anal= 0.45862107, fd= 0.45848882, err= 0.00013224 (at 0.15224102 -0.02000736 -0.09486588)
iface= 3, ipnt= 135 (Y): anal= 0.44072714, fd= 0.44058416, err= 0.00014298 (at 0.13373370 -0.02499976 -0.02538195)
iface= 3, ipnt= 136 (Y): anal= 0.43188605, fd= 0.43174061, err= 0.00014544 (at 0.12736532 -0.02611868 -0.00644688)
iface= 3, ipnt= 154 (Y): anal= 0.48035134, fd= 0.48023592, err= 0.00011542 (at 0.88348133 -0.01105656 -0.20922141)
iface= 3, ipnt= 155 (Y): anal= 0.46288151, fd= 0.46274803, err= 0.00013347 (at 0.87594344 -0.02000737 -0.09486590)
iface= 3, ipnt= 156 (Y): anal= 0.44489872, fd= 0.44475439, err= 0.00014433 (at 0.87380721 -0.02499977 -0.02538195)
iface= 3, ipnt= 157 (Y): anal= 0.43600928, fd= 0.43586246, err= 0.00014682 (at 0.87455002 -0.02611868 -0.00644688)
...too many errors to list
iface= 4, ipnt= 115 (Y): anal= 0.24592838, fd= 0.24613622, err= -0.00020784 (at 1.04768931 0.06808326 0.95124113)
iface= 4, ipnt= 127 (Y): anal= 0.24325468, fd= 0.24346026, err= -0.00020558 (at 0.23492291 0.06808327 0.95124114)
iface= 4, ipnt= 133 (Y): anal= 0.48035088, fd= 0.48023546, err= 0.00011542 (at 0.88348133 -0.01105665 0.20922008)
iface= 4, ipnt= 134 (Y): anal= 0.46288106, fd= 0.46274759, err= 0.00013347 (at 0.87594351 -0.02000740 0.09486518)
iface= 4, ipnt= 135 (Y): anal= 0.44489840, fd= 0.44475407, err= 0.00014433 (at 0.87380730 -0.02499976 0.02538182)
iface= 4, ipnt= 136 (Y): anal= 0.43600908, fd= 0.43586225, err= 0.00014682 (at 0.87455009 -0.02611867 0.00644684)
iface= 4, ipnt= 154 (Y): anal= 0.47601779, fd= 0.47590341, err= 0.00011438 (at 0.17867757 -0.01105664 0.20922007)
iface= 4, ipnt= 155 (Y): anal= 0.45862065, fd= 0.45848841, err= 0.00013224 (at 0.15224075 -0.02000740 0.09486517)
iface= 4, ipnt= 156 (Y): anal= 0.44072684, fd= 0.44058386, err= 0.00014298 (at 0.13373357 -0.02499976 0.02538182)
iface= 4, ipnt= 157 (Y): anal= 0.43188585, fd= 0.43174042, err= 0.00014544 (at 0.12736525 -0.02611867 0.00644684)
...too many errors to list
d(Face)/d(camber) check complete with 264 total errors (errmax= 5.5164e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 -3.60000000)
iedge= 2, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 -3.60000000)
iedge= 4, ipnt= 1 (X): anal= 0.02665236, fd= 0.02677765, err= -0.00012529 (at 0.96929200 0.00723521 0.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.11702550, fd= 0.11757562, err= -0.00055012 (at 0.96929200 0.00723521 0.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.93847941 0.01401123 0.00000000)
iedge= 4, ipnt= 3 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.87656797 0.02617966 0.00000000)
iedge= 4, ipnt= 9 (Y): anal= 0.42949240, fd= 0.42934440, err= 0.00014800 (at 0.12343203 0.02617966 0.00000000)
iedge= 4, ipnt= 10 (Y): anal= 0.22809066, fd= 0.22843823, err= -0.00034757 (at 0.06152059 0.01401123 0.00000000)
iedge= 4, ipnt= 11 (X): anal= -0.02665236, fd= -0.02677765, err= 0.00012529 (at 0.03070800 0.00723521 0.00000000)
iedge= 4, ipnt= 11 (Y): anal= 0.11702550, fd= 0.11757562, err= -0.00055012 (at 0.03070800 0.00723521 0.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 3.60000000)
iedge= 7, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 3.60000000)
iedge= 8, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 -3.60000000)
iedge= 8, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 -3.60000000)
iedge= 9, ipnt= 1 (X): anal= 0.02665236, fd= 0.02677764, err= -0.00012528 (at 0.03070800 -0.00723521 0.00000000)
iedge= 9, ipnt= 1 (Y): anal= 0.11702550, fd= 0.11757561, err= -0.00055010 (at 0.03070800 -0.00723521 0.00000000)
iedge= 9, ipnt= 2 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.06152059 -0.01401123 0.00000000)
iedge= 9, ipnt= 3 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.12343203 -0.02617966 0.00000000)
iedge= 9, ipnt= 9 (Y): anal= 0.42949240, fd= 0.42934436, err= 0.00014804 (at 0.87656797 -0.02617966 0.00000000)
iedge= 9, ipnt= 10 (Y): anal= 0.22809066, fd= 0.22843820, err= -0.00034755 (at 0.93847941 -0.01401123 0.00000000)
iedge= 9, ipnt= 11 (X): anal= -0.02665236, fd= -0.02677764, err= 0.00012528 (at 0.96929200 -0.00723521 0.00000000)
iedge= 9, ipnt= 11 (Y): anal= 0.11702550, fd= 0.11757561, err= -0.00055010 (at 0.96929200 -0.00723521 0.00000000)
iedge= 10, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 3.60000000)
iedge= 10, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 3.60000000)
d(Edge)/d(camber) check complete with 24 total errors (errmax= 5.5012e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "croot" for ibody=22
d(Face)/d(croot) check complete with 0 total errors (errmax= 3.2902e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 3.2801e-05)
d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "aspect" for ibody=22
d(Face)/d(aspect) check complete with 0 total errors (errmax= 2.2676e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 9.5851e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.1442e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "taper" for ibody=22
d(Face)/d(taper) check complete with 0 total errors (errmax= 8.8185e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9197e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "twist" for ibody=22
d(Face)/d(twist) check complete with 0 total errors (errmax= 7.0694e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.7424e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "lesweep" for ibody=22
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.5925e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.3353e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "dihedral" for ibody=22
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.8014e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 6.6525e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "rottip" for ibody=22
d(Face)/d(rottip) check complete with 0 total errors (errmax= 3.3605e-09)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 1.5111e-08)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "xbase" for ibody=22
d(Face)/d(xbase) check complete with 0 total errors (errmax= 1.6635e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 2.9997e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "ybase" for ibody=22
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.8093e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.1660e-11)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "zbase" for ibody=22
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.5975e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.222 sec
Sensitivity checks complete with 392 total errors (max config err= 5.5164e-04) with 0 suppressions
real 0m4.089s
user 0m4.120s
sys 0m0.000s
++++ set +x
data/basic/designD6b0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 87 / 180 )
data/basic/designD6b1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6b1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "thickness" for ibody=20
iface= 1, ipnt= 163 (Y): anal= 0.20717121, fd= 0.20707091, err= 0.00010030 (at 0.91457935 0.05147931 1.35000000)
iface= 1, ipnt= 164 (Y): anal= 0.20921622, fd= 0.20911465, err= 0.00010156 (at 0.89879427 0.04083502 1.23750000)
iface= 1, ipnt= 165 (Y): anal= 0.21111109, fd= 0.21100870, err= 0.00010238 (at 0.88474373 0.03136418 1.12500000)
iface= 1, ipnt= 166 (Y): anal= 0.21281792, fd= 0.21271522, err= 0.00010270 (at 0.87259561 0.02318035 1.01250000)
iface= 1, ipnt= 167 (Y): anal= 0.21429580, fd= 0.21419335, err= 0.00010245 (at 0.86251776 0.01639711 0.90000000)
iface= 1, ipnt= 168 (Y): anal= 0.21550103, fd= 0.21539945, err= 0.00010158 (at 0.85467804 0.01112801 0.78750000)
iface= 1, ipnt= 169 (Y): anal= 0.21638747, fd= 0.21628744, err= 0.00010003 (at 0.84924431 0.00748661 0.67500000)
iface= 1, ipnt= 541 (Y): anal= 0.20953495, fd= 0.20943351, err= 0.00010144 (at 0.17315752 0.05147931 1.35000000)
iface= 1, ipnt= 542 (Y): anal= 0.21115254, fd= 0.21105004, err= 0.00010250 (at 0.15218973 0.04083502 1.23750000)
iface= 1, ipnt= 543 (Y): anal= 0.21261845, fd= 0.21251534, err= 0.00010311 (at 0.13353478 0.03136418 1.12500000)
...too many errors to list
iface= 2, ipnt= 164 (Y): anal= -0.20869782, fd= -0.20859651, err= -0.00010131 (at 0.15218973 -0.01080778 1.23750000)
iface= 2, ipnt= 165 (Y): anal= -0.21070595, fd= -0.21060376, err= -0.00010218 (at 0.13353478 -0.02059897 1.12500000)
iface= 2, ipnt= 166 (Y): anal= -0.21252256, fd= -0.21242001, err= -0.00010256 (at 0.11741649 -0.02906277 1.01250000)
iface= 2, ipnt= 167 (Y): anal= -0.21410148, fd= -0.21399911, err= -0.00010236 (at 0.10405867 -0.03608206 0.90000000)
iface= 2, ipnt= 168 (Y): anal= -0.21539304, fd= -0.21529151, err= -0.00010153 (at 0.09368516 -0.04153971 0.78750000)
iface= 2, ipnt= 169 (Y): anal= -0.21634462, fd= -0.21624461, err= -0.00010001 (at 0.08651977 -0.04531862 0.67500000)
iface= 2, ipnt= 541 (Y): anal= -0.20919277, fd= -0.20909149, err= -0.00010128 (at 0.91457935 0.00019368 1.35000000)
iface= 2, ipnt= 542 (Y): anal= -0.21087249, fd= -0.21077013, err= -0.00010237 (at 0.89879427 -0.01080778 1.23750000)
iface= 2, ipnt= 543 (Y): anal= -0.21240056, fd= -0.21229755, err= -0.00010301 (at 0.88474373 -0.02059897 1.12500000)
iface= 2, ipnt= 544 (Y): anal= -0.21375385, fd= -0.21365069, err= -0.00010315 (at 0.87259561 -0.02906277 1.01250000)
...too many errors to list
d(Face)/d(thickness) check complete with 27 total errors (errmax= 1.0323e-04)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.9205e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "camber" for ibody=20
iface= 1, ipnt= 144 (Y): anal= 0.34150365, fd= 0.34138644, err= 0.00011721 (at 1.32080611 0.32563785 3.48750000)
iface= 1, ipnt= 145 (Y): anal= 0.34359974, fd= 0.34348143, err= 0.00011831 (at 1.30395806 0.31427498 3.37500000)
iface= 1, ipnt= 146 (Y): anal= 0.34596319, fd= 0.34584294, err= 0.00012025 (at 1.28565521 0.30192785 3.26250000)
iface= 1, ipnt= 147 (Y): anal= 0.34859033, fd= 0.34846739, err= 0.00012294 (at 1.26606542 0.28871004 3.15000000)
iface= 1, ipnt= 148 (Y): anal= 0.35147530, fd= 0.35134899, err= 0.00012631 (at 1.24535655 0.27473511 3.03750000)
iface= 1, ipnt= 149 (Y): anal= 0.35461007, fd= 0.35447982, err= 0.00013026 (at 1.22369647 0.26011661 2.92500000)
iface= 1, ipnt= 150 (Y): anal= 0.35798453, fd= 0.35784982, err= 0.00013471 (at 1.20125303 0.24496812 2.81250000)
iface= 1, ipnt= 151 (Y): anal= 0.36158638, fd= 0.36144679, err= 0.00013959 (at 1.17819409 0.22940319 2.70000000)
iface= 1, ipnt= 152 (Y): anal= 0.36540107, fd= 0.36525627, err= 0.00014480 (at 1.15468752 0.21353539 2.58750000)
iface= 1, ipnt= 153 (Y): anal= 0.36941169, fd= 0.36926141, err= 0.00015028 (at 1.13090117 0.19747829 2.47500000)
...too many errors to list
iface= 2, ipnt= 144 (Y): anal= 0.34052733, fd= 0.34041042, err= 0.00011691 (at 0.71330089 0.28340371 3.48750000)
iface= 2, ipnt= 145 (Y): anal= 0.34242487, fd= 0.34230693, err= 0.00011793 (at 0.69091541 0.27165984 3.37500000)
iface= 2, ipnt= 146 (Y): anal= 0.34459389, fd= 0.34447409, err= 0.00011980 (at 0.66659015 0.25890096 3.26250000)
iface= 2, ipnt= 147 (Y): anal= 0.34703544, fd= 0.34691302, err= 0.00012242 (at 0.64054893 0.24524421 3.15000000)
iface= 2, ipnt= 148 (Y): anal= 0.34974783, fd= 0.34962212, err= 0.00012572 (at 0.61301558 0.23080669 3.03750000)
iface= 2, ipnt= 149 (Y): anal= 0.35272678, fd= 0.35259718, err= 0.00012960 (at 0.58421390 0.21570552 2.92500000)
iface= 2, ipnt= 150 (Y): anal= 0.35596541, fd= 0.35583143, err= 0.00013398 (at 0.55436773 0.20005784 2.81250000)
iface= 2, ipnt= 151 (Y): anal= 0.35945433, fd= 0.35931553, err= 0.00013880 (at 0.52370089 0.18398074 2.70000000)
iface= 2, ipnt= 152 (Y): anal= 0.36318146, fd= 0.36303751, err= 0.00014396 (at 0.49243720 0.16759137 2.58750000)
iface= 2, ipnt= 153 (Y): anal= 0.36713199, fd= 0.36698260, err= 0.00014938 (at 0.46080048 0.15100683 2.47500000)
...too many errors to list
d(Face)/d(camber) check complete with 176 total errors (errmax= 2.0645e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 -3.60000000)
iedge= 2, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 -3.60000000)
iedge= 4, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 3.60000000)
iedge= 4, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 3.60000000)
iedge= 5, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 -3.60000000)
iedge= 5, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 -3.60000000)
iedge= 6, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 3.60000000)
iedge= 6, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 3.60000000)
d(Edge)/d(camber) check complete with 8 total errors (errmax= 1.1843e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "croot" for ibody=20
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.2441e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 7.1359e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "aspect" for ibody=20
d(Face)/d(aspect) check complete with 0 total errors (errmax= 2.2825e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 9.5851e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.1442e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "taper" for ibody=20
d(Face)/d(taper) check complete with 0 total errors (errmax= 8.8677e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9197e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "twist" for ibody=20
d(Face)/d(twist) check complete with 0 total errors (errmax= 7.4330e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.7424e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "lesweep" for ibody=20
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.4163e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.9745e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "dihedral" for ibody=20
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.4897e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 8.1905e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "rottip" for ibody=20
d(Face)/d(rottip) check complete with 0 total errors (errmax= 4.6831e-09)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 1.5111e-08)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "xbase" for ibody=20
d(Face)/d(xbase) check complete with 0 total errors (errmax= 1.3787e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 2.9997e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "ybase" for ibody=20
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.4022e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.1660e-11)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "zbase" for ibody=20
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.2918e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.356 sec
Sensitivity checks complete with 211 total errors (max config err= 2.0645e-04) with 0 suppressions
real 0m1.495s
user 0m1.480s
sys 0m0.020s
++++ set +x
data/basic/designD6b1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 88 / 180 )
data/basic/designD6b2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6b2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "thickness" for ibody=18
d(Face)/d(thickness) check complete with 0 total errors (errmax= 7.4006e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 5.9205e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "camber" for ibody=18
iface= 1, ipnt= 144 (Y): anal= 0.34193964, fd= 0.34182267, err= 0.00011697 (at 1.32123871 0.32593157 3.48750000)
iface= 1, ipnt= 145 (Y): anal= 0.34436903, fd= 0.34425197, err= 0.00011706 (at 1.30563265 0.31541194 3.37500000)
iface= 1, ipnt= 146 (Y): anal= 0.34695628, fd= 0.34683897, err= 0.00011731 (at 1.28929744 0.30440075 3.26250000)
iface= 1, ipnt= 147 (Y): anal= 0.34969275, fd= 0.34957505, err= 0.00011771 (at 1.27231722 0.29295470 3.15000000)
iface= 1, ipnt= 148 (Y): anal= 0.35256932, fd= 0.35245107, err= 0.00011825 (at 1.25477612 0.28113052 3.03750000)
iface= 1, ipnt= 149 (Y): anal= 0.35557637, fd= 0.35545745, err= 0.00011892 (at 1.23675827 0.26898492 2.92500000)
iface= 1, ipnt= 150 (Y): anal= 0.35870376, fd= 0.35858404, err= 0.00011972 (at 1.21834779 0.25657461 2.81250000)
iface= 1, ipnt= 151 (Y): anal= 0.36194078, fd= 0.36182015, err= 0.00012063 (at 1.19962883 0.24395631 2.70000000)
iface= 1, ipnt= 152 (Y): anal= 0.36527615, fd= 0.36515451, err= 0.00012164 (at 1.18068552 0.23118674 2.58750000)
iface= 1, ipnt= 153 (Y): anal= 0.36869794, fd= 0.36857518, err= 0.00012275 (at 1.16160197 0.21832260 2.47500000)
...too many errors to list
iface= 2, ipnt= 144 (Y): anal= 0.34106093, fd= 0.34094422, err= 0.00011670 (at 0.71388013 0.28370593 3.48750000)
iface= 2, ipnt= 145 (Y): anal= 0.34339377, fd= 0.34327701, err= 0.00011676 (at 0.69315765 0.27282971 3.37500000)
iface= 2, ipnt= 146 (Y): anal= 0.34588912, fd= 0.34577214, err= 0.00011698 (at 0.67146701 0.26144543 3.26250000)
iface= 2, ipnt= 147 (Y): anal= 0.34853964, fd= 0.34842229, err= 0.00011735 (at 0.64891995 0.24961171 3.15000000)
iface= 2, ipnt= 148 (Y): anal= 0.35133744, fd= 0.35121957, err= 0.00011787 (at 0.62562815 0.23738719 3.03750000)
iface= 2, ipnt= 149 (Y): anal= 0.35427398, fd= 0.35415546, err= 0.00011852 (at 0.60170334 0.22483049 2.92500000)
iface= 2, ipnt= 150 (Y): anal= 0.35734015, fd= 0.35722085, err= 0.00011930 (at 0.57725722 0.21200023 2.81250000)
iface= 2, ipnt= 151 (Y): anal= 0.36052614, fd= 0.36040595, err= 0.00012019 (at 0.55240150 0.19895505 2.70000000)
iface= 2, ipnt= 152 (Y): anal= 0.36382146, fd= 0.36370027, err= 0.00012119 (at 0.52724790 0.18575356 2.58750000)
iface= 2, ipnt= 153 (Y): anal= 0.36721488, fd= 0.36709258, err= 0.00012229 (at 0.50190813 0.17245440 2.47500000)
...too many errors to list
d(Face)/d(camber) check complete with 252 total errors (errmax= 1.4804e-04)
iedge= 2, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 -3.60000000)
iedge= 2, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 -3.60000000)
iedge= 4, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 1.33603150 0.33590291 3.60000000)
iedge= 4, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347552, err= 0.00011840 (at 0.73352276 0.33590291 3.60000000)
iedge= 5, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 -3.60000000)
iedge= 5, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 -3.60000000)
iedge= 6, ipnt= 1 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 0.73352276 0.29401546 3.60000000)
iedge= 6, ipnt= 7 (Y): anal= 0.34359392, fd= 0.34347549, err= 0.00011843 (at 1.33603150 0.29401546 3.60000000)
d(Edge)/d(camber) check complete with 8 total errors (errmax= 1.1843e-04)
d(Node)/d(camber) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "croot" for ibody=18
d(Face)/d(croot) check complete with 0 total errors (errmax= 8.9196e-06)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 7.1359e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "aspect" for ibody=18
d(Face)/d(aspect) check complete with 0 total errors (errmax= 2.4001e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 9.5851e-10)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.1442e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "taper" for ibody=18
d(Face)/d(taper) check complete with 0 total errors (errmax= 8.8645e-06)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 8.9197e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "twist" for ibody=18
d(Face)/d(twist) check complete with 0 total errors (errmax= 7.3597e-09)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.7424e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "lesweep" for ibody=18
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.3091e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.2109e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "dihedral" for ibody=18
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.1855e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.0255e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "rottip" for ibody=18
d(Face)/d(rottip) check complete with 0 total errors (errmax= 4.1358e-09)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 1.5111e-08)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xbase" for ibody=18
d(Face)/d(xbase) check complete with 0 total errors (errmax= 1.1756e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 5.1396e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ybase" for ibody=18
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.3651e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.1099e-11)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zbase" for ibody=18
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.5404e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.231 sec
Sensitivity checks complete with 260 total errors (max config err= 1.4804e-04) with 0 suppressions
real 0m1.356s
user 0m1.360s
sys 0m0.008s
++++ set +x
data/basic/designD6b2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 89 / 180 )
data/basic/designD6c0.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6c0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "thickness" for ibody=22
d(Face)/d(thickness) check complete with 0 total errors (errmax= 4.9086e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 4.8960e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 2.2204e-16)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "camber" for ibody=22
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.5453e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.3375e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 1.1102e-16)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "croot" for ibody=22
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.5545e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 1.7521e-05)
d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "aspect" for ibody=22
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.9825e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.4026e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.1442e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "taper" for ibody=22
d(Face)/d(taper) check complete with 0 total errors (errmax= 1.7063e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8818e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "twist" for ibody=22
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.0337e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.6765e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "lesweep" for ibody=22
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 5.0250e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.3353e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "dihedral" for ibody=22
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 4.0501e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 9.9702e-11)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "rottip" for ibody=22
d(Face)/d(rottip) check complete with 0 total errors (errmax= 3.9248e-08)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 7.3240e-08)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "xbase" for ibody=22
d(Face)/d(xbase) check complete with 0 total errors (errmax= 4.2550e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 2.9997e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "ybase" for ibody=22
d(Face)/d(ybase) check complete with 0 total errors (errmax= 3.9276e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.3646e-11)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=22
Computing finite difference sensitivities for ibody=22
Comparing configuration sensitivities wrt "zbase" for ibody=22
d(Face)/d(zbase) check complete with 0 total errors (errmax= 4.5505e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 1.0280e-09)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.936 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9086e-05) with 0 suppressions
real 0m9.063s
user 0m9.908s
sys 0m0.008s
++++ set +x
data/basic/designD6c0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 90 / 180 )
data/basic/designD6c1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6c1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "thickness" for ibody=20
d(Face)/d(thickness) check complete with 0 total errors (errmax= 3.9074e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 3.9168e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 2.2204e-16)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "camber" for ibody=20
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.0309e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.0700e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 8.8818e-17)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "croot" for ibody=20
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.3641e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 7.9055e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "aspect" for ibody=20
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.9175e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.8467e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.1442e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "taper" for ibody=20
d(Face)/d(taper) check complete with 0 total errors (errmax= 1.7049e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8818e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "twist" for ibody=20
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.2248e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.6870e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "lesweep" for ibody=20
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 3.6696e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 5.9745e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "dihedral" for ibody=20
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.9424e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.0680e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "rottip" for ibody=20
d(Face)/d(rottip) check complete with 0 total errors (errmax= 3.9901e-08)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 7.3240e-08)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "xbase" for ibody=20
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.7547e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 2.9997e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "ybase" for ibody=20
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.4857e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 8.3646e-11)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "zbase" for ibody=20
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.8707e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 1.0280e-09)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.448 sec
Sensitivity checks complete with 0 total errors (max config err= 3.9168e-05) with 0 suppressions
real 0m3.918s
user 0m4.076s
sys 0m0.004s
++++ set +x
data/basic/designD6c1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 91 / 180 )
data/basic/designD6c2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designD6c2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thickness"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "thickness" for ibody=18
d(Face)/d(thickness) check complete with 0 total errors (errmax= 4.6598e-05)
d(Edge)/d(thickness) check complete with 0 total errors (errmax= 3.9168e-05)
d(Node)/d(thickness) check complete with 0 total errors (errmax= 2.2204e-16)
*********************************************************
Starting configuration sensitivity wrt "camber"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "camber" for ibody=18
d(Face)/d(camber) check complete with 0 total errors (errmax= 1.0303e-05)
d(Edge)/d(camber) check complete with 0 total errors (errmax= 1.0700e-05)
d(Node)/d(camber) check complete with 0 total errors (errmax= 8.8818e-17)
*********************************************************
Starting configuration sensitivity wrt "croot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "croot" for ibody=18
d(Face)/d(croot) check complete with 0 total errors (errmax= 1.3646e-05)
d(Edge)/d(croot) check complete with 0 total errors (errmax= 7.9055e-06)
d(Node)/d(croot) check complete with 0 total errors (errmax= 1.1852e-10)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "aspect" for ibody=18
d(Face)/d(aspect) check complete with 0 total errors (errmax= 4.4679e-10)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.4026e-09)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.1442e-10)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "taper" for ibody=18
d(Face)/d(taper) check complete with 0 total errors (errmax= 1.7056e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 9.8818e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6453e-10)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "twist" for ibody=18
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.2270e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 1.6870e-08)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "lesweep" for ibody=18
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 3.2323e-10)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.2109e-10)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4859e-10)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "dihedral" for ibody=18
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 2.5013e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.5468e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 4.4260e-11)
*********************************************************
Starting configuration sensitivity wrt "rottip"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "rottip" for ibody=18
d(Face)/d(rottip) check complete with 0 total errors (errmax= 3.9539e-08)
d(Edge)/d(rottip) check complete with 0 total errors (errmax= 7.3240e-08)
d(Node)/d(rottip) check complete with 0 total errors (errmax= 1.4403e-10)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xbase" for ibody=18
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.2612e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 5.1396e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ybase" for ibody=18
d(Face)/d(ybase) check complete with 0 total errors (errmax= 2.4505e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 1.3667e-10)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zbase" for ibody=18
d(Face)/d(zbase) check complete with 0 total errors (errmax= 3.6556e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 7.4840e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.890 sec
Sensitivity checks complete with 0 total errors (max config err= 4.6598e-05) with 0 suppressions
real 0m3.454s
user 0m3.676s
sys 0m0.004s
++++ set +x
data/basic/designD6c2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 92 / 180 )
data/basic/designE1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "dxbar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dxbar" for ibody=8
d(Face)/d(dxbar) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dxbar) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dxbar) check complete with 0 total errors (errmax= 8.8818e-10)
*********************************************************
Starting configuration sensitivity wrt "dybar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dybar" for ibody=8
d(Face)/d(dybar) check complete with 0 total errors (errmax= 2.6755e-11)
d(Edge)/d(dybar) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dybar) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "dzbar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dzbar" for ibody=8
d(Face)/d(dzbar) check complete with 0 total errors (errmax= 2.6755e-11)
d(Edge)/d(dzbar) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dzbar) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "dxbox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dxbox" for ibody=8
d(Face)/d(dxbox) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dxbox) check complete with 0 total errors (errmax= 1.0280e-09)
d(Node)/d(dxbox) check complete with 0 total errors (errmax= 1.0280e-09)
*********************************************************
Starting configuration sensitivity wrt "dybox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dybox" for ibody=8
d(Face)/d(dybox) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dybox) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dybox) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "dzbox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dzbox" for ibody=8
d(Face)/d(dzbox) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dzbox) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dzbox) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.028 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions
real 0m1.011s
user 0m0.892s
sys 0m0.556s
++++ set +x
data/basic/designE1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 93 / 180 )
data/basic/designE2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "dxbar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "dxbar" for ibody=12
d(Face)/d(dxbar) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dxbar) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dxbar) check complete with 0 total errors (errmax= 8.8818e-10)
*********************************************************
Starting configuration sensitivity wrt "dybar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "dybar" for ibody=12
d(Face)/d(dybar) check complete with 0 total errors (errmax= 1.1002e-10)
d(Edge)/d(dybar) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dybar) check complete with 0 total errors (errmax= 8.8818e-10)
*********************************************************
Starting configuration sensitivity wrt "dzbar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "dzbar" for ibody=12
d(Face)/d(dzbar) check complete with 0 total errors (errmax= 1.1002e-10)
d(Edge)/d(dzbar) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dzbar) check complete with 0 total errors (errmax= 8.8818e-10)
*********************************************************
Starting configuration sensitivity wrt "dxbox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "dxbox" for ibody=12
d(Face)/d(dxbox) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dxbox) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dxbox) check complete with 0 total errors (errmax= 1.0280e-09)
*********************************************************
Starting configuration sensitivity wrt "dybox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "dybox" for ibody=12
d(Face)/d(dybox) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dybox) check complete with 0 total errors (errmax= 1.1102e-10)
d(Node)/d(dybox) check complete with 0 total errors (errmax= 8.8818e-10)
*********************************************************
Starting configuration sensitivity wrt "dzbox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "dzbox" for ibody=12
d(Face)/d(dzbox) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dzbox) check complete with 0 total errors (errmax= 1.1102e-10)
d(Node)/d(dzbox) check complete with 0 total errors (errmax= 8.8818e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.039 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0280e-09) with 0 suppressions
real 0m2.301s
user 0m2.612s
sys 0m0.856s
++++ set +x
data/basic/designE2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 94 / 180 )
data/basic/designE3.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "thick" for ibody=29
d(Face)/d(thick) check complete with 0 total errors (errmax= 1.2083e-10)
d(Edge)/d(thick) check complete with 0 total errors (errmax= 7.0018e-11)
d(Node)/d(thick) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "dxbar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dxbar" for ibody=29
d(Face)/d(dxbar) check complete with 0 total errors (errmax= 1.4259e-10)
d(Edge)/d(dxbar) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dxbar) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
Starting configuration sensitivity wrt "dybar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dybar" for ibody=29
d(Face)/d(dybar) check complete with 0 total errors (errmax= 1.5543e-10)
d(Edge)/d(dybar) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dybar) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
Starting configuration sensitivity wrt "dzbar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dzbar" for ibody=29
d(Face)/d(dzbar) check complete with 0 total errors (errmax= 1.5543e-10)
d(Edge)/d(dzbar) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dzbar) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
Starting configuration sensitivity wrt "dxbox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dxbox" for ibody=29
d(Face)/d(dxbox) check complete with 0 total errors (errmax= 1.5543e-10)
d(Edge)/d(dxbox) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dxbox) check complete with 0 total errors (errmax= 2.8043e-09)
*********************************************************
Starting configuration sensitivity wrt "dybox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dybox" for ibody=29
d(Face)/d(dybox) check complete with 0 total errors (errmax= 1.5543e-10)
d(Edge)/d(dybox) check complete with 0 total errors (errmax= 1.1102e-10)
d(Node)/d(dybox) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
Starting configuration sensitivity wrt "dzbox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dzbox" for ibody=29
d(Face)/d(dzbox) check complete with 0 total errors (errmax= 1.5543e-10)
d(Edge)/d(dzbox) check complete with 0 total errors (errmax= 1.1102e-10)
d(Node)/d(dzbox) check complete with 0 total errors (errmax= 1.7764e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.126 sec
Sensitivity checks complete with 0 total errors (max config err= 2.8043e-09) with 0 suppressions
real 0m5.810s
user 0m6.360s
sys 0m1.080s
++++ set +x
data/basic/designE3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 95 / 180 )
data/basic/designE4.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "thick" for ibody=29
d(Face)/d(thick) check complete with 0 total errors (errmax= 8.1678e-08)
d(Edge)/d(thick) check complete with 0 total errors (errmax= 7.0596e-08)
d(Node)/d(thick) check complete with 0 total errors (errmax= 1.1506e-09)
*********************************************************
Starting configuration sensitivity wrt "dxbar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dxbar" for ibody=29
d(Face)/d(dxbar) check complete with 0 total errors (errmax= 9.7011e-07)
d(Edge)/d(dxbar) check complete with 0 total errors (errmax= 9.6989e-07)
d(Node)/d(dxbar) check complete with 0 total errors (errmax= 3.6868e-09)
*********************************************************
Starting configuration sensitivity wrt "dybar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dybar" for ibody=29
d(Face)/d(dybar) check complete with 0 total errors (errmax= 2.5735e-10)
d(Edge)/d(dybar) check complete with 0 total errors (errmax= 2.1214e-10)
d(Node)/d(dybar) check complete with 0 total errors (errmax= 3.2018e-08)
*********************************************************
Starting configuration sensitivity wrt "dzbar"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dzbar" for ibody=29
d(Face)/d(dzbar) check complete with 0 total errors (errmax= 2.5735e-10)
d(Edge)/d(dzbar) check complete with 0 total errors (errmax= 2.1214e-10)
d(Node)/d(dzbar) check complete with 0 total errors (errmax= 3.2018e-08)
*********************************************************
Starting configuration sensitivity wrt "dxbox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dxbox" for ibody=29
d(Face)/d(dxbox) check complete with 0 total errors (errmax= 9.6989e-07)
d(Edge)/d(dxbox) check complete with 0 total errors (errmax= 9.6989e-07)
d(Node)/d(dxbox) check complete with 0 total errors (errmax= 3.6962e-09)
*********************************************************
Starting configuration sensitivity wrt "dybox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dybox" for ibody=29
d(Face)/d(dybox) check complete with 0 total errors (errmax= 1.7351e-10)
d(Edge)/d(dybox) check complete with 0 total errors (errmax= 1.3955e-10)
d(Node)/d(dybox) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "dzbox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=29
Computing finite difference sensitivities for ibody=29
Comparing configuration sensitivities wrt "dzbox" for ibody=29
d(Face)/d(dzbox) check complete with 0 total errors (errmax= 1.7351e-10)
d(Edge)/d(dzbox) check complete with 0 total errors (errmax= 1.3955e-10)
d(Node)/d(dzbox) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.091 sec
Sensitivity checks complete with 0 total errors (max config err= 9.7011e-07) with 0 suppressions
real 0m12.553s
user 0m14.624s
sys 0m1.024s
++++ set +x
data/basic/designE4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 96 / 180 )
data/basic/designE5.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE5.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "xcent" for ibody=5
d(Face)/d(xcent) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(xcent) check complete with 0 total errors (errmax= 4.3299e-07)
d(Node)/d(xcent) check complete with 0 total errors (errmax= 8.6407e-07)
*********************************************************
Starting configuration sensitivity wrt "ycent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "ycent" for ibody=5
d(Face)/d(ycent) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(ycent) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(ycent) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "thick"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "thick" for ibody=5
d(Face)/d(thick) check complete with 0 total errors (errmax= 5.0004e-13)
d(Edge)/d(thick) check complete with 0 total errors (errmax= 2.0317e-11)
d(Node)/d(thick) check complete with 0 total errors (errmax= 5.0004e-13)
*********************************************************
Starting configuration sensitivity wrt "rad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "rad" for ibody=5
d(Face)/d(rad) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(rad) check complete with 0 total errors (errmax= 2.1996e-07)
d(Node)/d(rad) check complete with 0 total errors (errmax= 4.8610e-07)
*********************************************************
Starting configuration sensitivity wrt "xbox"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "xbox" for ibody=5
d(Face)/d(xbox) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(xbox) check complete with 0 total errors (errmax= 3.9139e-07)
d(Node)/d(xbox) check complete with 0 total errors (errmax= 8.6433e-07)
*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "dx" for ibody=5
d(Face)/d(dx) check complete with 0 total errors (errmax= 2.9193e-10)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 9.7790e-08)
d(Node)/d(dx) check complete with 0 total errors (errmax= 2.1723e-07)
*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "dy" for ibody=5
d(Face)/d(dy) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(dy) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(dy) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "dz" for ibody=5
d(Face)/d(dz) check complete with 0 total errors (errmax= 4.1133e-11)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 4.1133e-11)
d(Node)/d(dz) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.144 sec
Sensitivity checks complete with 0 total errors (max config err= 8.6433e-07) with 0 suppressions
real 0m1.591s
user 0m1.528s
sys 0m0.816s
++++ set +x
data/basic/designE5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 97 / 180 )
data/basic/designE6.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE6.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "xsize" for ibody=3
d(Face)/d(xsize) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "ysize" for ibody=3
d(Face)/d(ysize) check complete with 0 total errors (errmax= 4.1133e-11)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 4.1133e-11)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 4.1133e-11)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "zsize" for ibody=3
d(Face)/d(zsize) check complete with 0 total errors (errmax= 5.0004e-13)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 5.0004e-13)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 2.0317e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.005 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.244s
user 0m0.220s
sys 0m0.084s
++++ set +x
data/basic/designE6 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 98 / 180 )
data/basic/designE7.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE7.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "dx" for ibody=6
d(Face)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "xcent" for ibody=6
d(Face)/d(xcent) check complete with 0 total errors (errmax= 2.8756e-11)
d(Edge)/d(xcent) check complete with 0 total errors (errmax= 2.8756e-11)
d(Node)/d(xcent) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ycent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "ycent" for ibody=6
d(Face)/d(ycent) check complete with 0 total errors (errmax= 2.8756e-11)
d(Edge)/d(ycent) check complete with 0 total errors (errmax= 2.8756e-11)
d(Node)/d(ycent) check complete with 0 total errors (errmax= 2.8756e-11)
*********************************************************
Starting configuration sensitivity wrt "size"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "size" for ibody=6
d(Face)/d(size) check complete with 0 total errors (errmax= 4.1133e-11)
d(Edge)/d(size) check complete with 0 total errors (errmax= 4.1133e-11)
d(Node)/d(size) check complete with 0 total errors (errmax= 6.9889e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.020 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.529s
user 0m0.432s
sys 0m0.296s
++++ set +x
data/basic/designE7 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 99 / 180 )
data/basic/designE8.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE8.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "dx" for ibody=7
d(Face)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dx) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xcent"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "xcent" for ibody=7
d(Face)/d(xcent) check complete with 0 total errors (errmax= 1.5216e-10)
d(Edge)/d(xcent) check complete with 0 total errors (errmax= 1.1152e-10)
d(Node)/d(xcent) check complete with 0 total errors (errmax= 1.1102e-10)
*********************************************************
Starting configuration sensitivity wrt "size"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "size" for ibody=7
d(Face)/d(size) check complete with 0 total errors (errmax= 1.4021e-10)
d(Edge)/d(size) check complete with 0 total errors (errmax= 1.4021e-10)
d(Node)/d(size) check complete with 0 total errors (errmax= 5.8372e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.016 sec
Sensitivity checks complete with 0 total errors (max config err= 1.5216e-10) with 0 suppressions
real 0m0.488s
user 0m0.424s
sys 0m0.240s
++++ set +x
data/basic/designE8 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 100 / 180 )
data/basic/designE9.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designE9.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "dx"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dx" for ibody=8
d(Face)/d(dx) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dx) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dx) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dy" for ibody=8
d(Face)/d(dy) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dy) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dy) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "dxall"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dxall" for ibody=8
d(Face)/d(dxall) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dxall) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dxall) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "dyall"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dyall" for ibody=8
d(Face)/d(dyall) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dyall) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dyall) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "dzall"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dzall" for ibody=8
d(Face)/d(dzall) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dzall) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dzall) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.020 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.652s
user 0m0.460s
sys 0m0.348s
++++ set +x
data/basic/designE9 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 101 / 180 )
data/basic/designEa.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designEa.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "dxtop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "dxtop" for ibody=7
d(Face)/d(dxtop) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dxtop) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dxtop) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dztop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "dztop" for ibody=7
d(Face)/d(dztop) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dztop) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dztop) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "dxbot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "dxbot" for ibody=7
d(Face)/d(dxbot) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dxbot) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dxbot) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dzbot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "dzbot" for ibody=7
d(Face)/d(dzbot) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dzbot) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dzbot) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.013 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.481s
user 0m0.416s
sys 0m0.212s
++++ set +x
data/basic/designEa -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 102 / 180 )
data/basic/designEb.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designEb.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "dxtop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dxtop" for ibody=8
d(Face)/d(dxtop) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dxtop) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dxtop) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dxbot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dxbot" for ibody=8
d(Face)/d(dxbot) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dxbot) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dxbot) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "dy"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dy" for ibody=8
d(Face)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(dy) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "dz"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dz" for ibody=8
d(Face)/d(dz) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(dz) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(dz) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.025 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 0 suppressions
real 0m0.476s
user 0m0.376s
sys 0m0.232s
++++ set +x
data/basic/designEb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 103 / 180 )
data/basic/designF0bb.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF0bb.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 5.9882e-10)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 6.6536e-10)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 5.7578e-10)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 6.8880e-11)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 6.6899e-10)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 7.4840e-10)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 5.9882e-10)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[1,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 5.9882e-10)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[2,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 4.6569e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 4.0771e-07)
d(Node)/d(height) check complete with 0 total errors (errmax= 2.5447e-26)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[3,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 8.1281e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 7.9217e-07)
d(Node)/d(height) check complete with 0 total errors (errmax= 2.5447e-26)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[4,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.4197e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 1.4222e-06)
d(Node)/d(height) check complete with 0 total errors (errmax= 1.0606e-27)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[5,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 5.9882e-10)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[1,1]" for ibody=12
d(Face)/d(width) check complete with 0 total errors (errmax= 5.9882e-10)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[2,1]" for ibody=12
iface= 1, ipnt= 133 (Z): anal= -0.60186095, fd= -0.60234449, err= 0.00048354 (at -1.86546499 0.07792190 -0.68651137)
iface= 1, ipnt= 134 (Z): anal= -0.59197028, fd= -0.59239985, err= 0.00042957 (at -1.86952774 0.16292480 -0.67877755)
iface= 1, ipnt= 136 (Z): anal= -0.52491833, fd= -0.52478838, err= -0.00012995 (at -1.87663444 0.37850475 -0.63622197)
iface= 1, ipnt= 159 (Z): anal= 0.52491810, fd= 0.52478814, err= 0.00012995 (at -1.87663428 0.37850515 0.63622188)
iface= 1, ipnt= 161 (Z): anal= 0.59197021, fd= 0.59239978, err= -0.00042957 (at -1.86952763 0.16292498 0.67877755)
iface= 1, ipnt= 162 (Z): anal= 0.60186092, fd= 0.60234446, err= -0.00048354 (at -1.86546494 0.07792198 0.68651137)
iface= 1, ipnt= 171 (Z): anal= -0.25882465, fd= -0.25901991, err= 0.00019526 (at -0.80033748 0.05587352 -0.86498012)
iface= 1, ipnt= 172 (Z): anal= -0.25810757, fd= -0.25835126, err= 0.00024369 (at -0.80915257 0.12247311 -0.85827402)
iface= 1, ipnt= 198 (Z): anal= 0.25810755, fd= 0.25835123, err= -0.00024369 (at -0.80915255 0.12247336 0.85827399)
iface= 1, ipnt= 199 (Z): anal= 0.25882465, fd= 0.25901991, err= -0.00019526 (at -0.80033747 0.05587361 0.86498011)
...too many errors to list
iface= 3, ipnt= 133 (Z): anal= 0.60186095, fd= 0.60234449, err= -0.00048354 (at -1.86546499 -0.07792190 0.68651137)
iface= 3, ipnt= 134 (Z): anal= 0.59197028, fd= 0.59239985, err= -0.00042957 (at -1.86952774 -0.16292480 0.67877755)
iface= 3, ipnt= 136 (Z): anal= 0.52491833, fd= 0.52478838, err= 0.00012995 (at -1.87663444 -0.37850475 0.63622197)
iface= 3, ipnt= 159 (Z): anal= -0.52491810, fd= -0.52478814, err= -0.00012995 (at -1.87663428 -0.37850515 -0.63622188)
iface= 3, ipnt= 161 (Z): anal= -0.59197021, fd= -0.59239978, err= 0.00042957 (at -1.86952763 -0.16292498 -0.67877755)
iface= 3, ipnt= 162 (Z): anal= -0.60186092, fd= -0.60234446, err= 0.00048354 (at -1.86546494 -0.07792198 -0.68651137)
iface= 3, ipnt= 171 (Z): anal= 0.25882465, fd= 0.25901991, err= -0.00019526 (at -0.80033748 -0.05587352 0.86498012)
iface= 3, ipnt= 172 (Z): anal= 0.25810757, fd= 0.25835126, err= -0.00024369 (at -0.80915257 -0.12247311 0.85827402)
iface= 3, ipnt= 198 (Z): anal= -0.25810755, fd= -0.25835123, err= 0.00024369 (at -0.80915255 -0.12247336 -0.85827399)
iface= 3, ipnt= 199 (Z): anal= -0.25882465, fd= -0.25901991, err= 0.00019526 (at -0.80033747 -0.05587361 -0.86498011)
...too many errors to list
d(Face)/d(width) check complete with 272 total errors (errmax= 6.6440e-04)
iedge= 2, ipnt= 1 (Z): anal= -0.99206933, fd= -0.99275612, err= 0.00068678 (at -3.00000000 0.09801627 -0.49758527)
iedge= 2, ipnt= 2 (Z): anal= -0.97075046, fd= -0.97118140, err= 0.00043094 (at -3.00000000 0.19509030 -0.49038610)
iedge= 2, ipnt= 4 (Z): anal= -0.88602223, fd= -0.88584408, err= -0.00017815 (at -3.00000000 0.38267602 -0.46193279)
iedge= 2, ipnt= 20 (Z): anal= 0.88602223, fd= 0.88584408, err= 0.00017815 (at -3.00000000 0.38267602 0.46193279)
iedge= 2, ipnt= 22 (Z): anal= 0.97075046, fd= 0.97118140, err= -0.00043094 (at -3.00000000 0.19509030 0.49038610)
iedge= 2, ipnt= 23 (Z): anal= 0.99206933, fd= 0.99275612, err= -0.00068678 (at -3.00000000 0.09801627 0.49758527)
iedge= 8, ipnt= 1 (Z): anal= 0.99206933, fd= 0.99275612, err= -0.00068678 (at -3.00000000 -0.09801627 0.49758527)
iedge= 8, ipnt= 2 (Z): anal= 0.97075046, fd= 0.97118140, err= -0.00043094 (at -3.00000000 -0.19509030 0.49038610)
iedge= 8, ipnt= 4 (Z): anal= 0.88602223, fd= 0.88584408, err= 0.00017815 (at -3.00000000 -0.38267602 0.46193279)
iedge= 8, ipnt= 20 (Z): anal= -0.88602223, fd= -0.88584408, err= -0.00017815 (at -3.00000000 -0.38267602 -0.46193279)
iedge= 8, ipnt= 22 (Z): anal= -0.97075046, fd= -0.97118140, err= 0.00043094 (at -3.00000000 -0.19509030 -0.49038610)
iedge= 8, ipnt= 23 (Z): anal= -0.99206933, fd= -0.99275612, err= 0.00068678 (at -3.00000000 -0.09801627 -0.49758527)
d(Edge)/d(width) check complete with 12 total errors (errmax= 6.8678e-04)
d(Node)/d(width) check complete with 0 total errors (errmax= 2.8756e-11)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[3,1]" for ibody=12
iface= 1, ipnt= 133 (Z): anal= -0.36470572, fd= -0.36485058, err= 0.00014486 (at -1.86546499 0.07792190 -0.68651137)
iface= 1, ipnt= 134 (Z): anal= -0.35677534, fd= -0.35690308, err= 0.00012774 (at -1.86952774 0.16292480 -0.67877755)
iface= 1, ipnt= 161 (Z): anal= 0.35677535, fd= 0.35690310, err= -0.00012774 (at -1.86952763 0.16292498 0.67877755)
iface= 1, ipnt= 162 (Z): anal= 0.36470573, fd= 0.36485059, err= -0.00014486 (at -1.86546494 0.07792198 0.68651137)
iface= 1, ipnt= 171 (Z): anal= -0.70958843, fd= -0.70992693, err= 0.00033850 (at -0.80033748 0.05587352 -0.86498012)
iface= 1, ipnt= 172 (Z): anal= -0.69666692, fd= -0.69708261, err= 0.00041569 (at -0.80915257 0.12247311 -0.85827402)
iface= 1, ipnt= 173 (Z): anal= -0.66418389, fd= -0.66433552, err= 0.00015162 (at -0.81572851 0.22887134 -0.84097621)
iface= 1, ipnt= 197 (Z): anal= 0.66418370, fd= 0.66433532, err= -0.00015162 (at -0.81572848 0.22887188 0.84097611)
iface= 1, ipnt= 198 (Z): anal= 0.69666688, fd= 0.69708257, err= -0.00041569 (at -0.80915255 0.12247336 0.85827399)
iface= 1, ipnt= 199 (Z): anal= 0.70958843, fd= 0.70992693, err= -0.00033850 (at -0.80033747 0.05587361 0.86498011)
...too many errors to list
iface= 2, ipnt= 133 (Z): anal= 0.37112486, fd= 0.37127227, err= -0.00014741 (at 1.86546467 0.05364987 0.99694842)
iface= 2, ipnt= 134 (Z): anal= 0.35064319, fd= 0.35076874, err= -0.00012555 (at 1.86952710 0.11211902 0.98662154)
iface= 2, ipnt= 161 (Z): anal= -0.35064320, fd= -0.35076875, err= 0.00012555 (at 1.86952718 0.11211893 -0.98662156)
iface= 2, ipnt= 162 (Z): anal= -0.37112486, fd= -0.37127227, err= 0.00014741 (at 1.86546472 0.05364982 -0.99694843)
iface= 2, ipnt= 171 (Z): anal= 0.72812173, fd= 0.72846907, err= -0.00034734 (at 0.80033723 0.04839481 0.99843093)
iface= 2, ipnt= 172 (Z): anal= 0.70921154, fd= 0.70963472, err= -0.00042318 (at 0.80915206 0.10592429 0.99245491)
iface= 2, ipnt= 198 (Z): anal= -0.70921160, fd= -0.70963477, err= 0.00042318 (at 0.80915208 0.10592413 -0.99245493)
iface= 2, ipnt= 199 (Z): anal= -0.72812174, fd= -0.72846908, err= 0.00034734 (at 0.80033724 0.04839475 -0.99843093)
iface= 2, ipnt= 302 (Z): anal= 0.28908941, fd= 0.28919019, err= -0.00010078 (at 2.11263432 0.05304636 0.99662529)
iface= 2, ipnt= 309 (Z): anal= 0.32991283, fd= 0.33003634, err= -0.00012351 (at 1.98948963 0.05338991 0.99678810)
...too many errors to list
iface= 3, ipnt= 133 (Z): anal= 0.36470572, fd= 0.36485058, err= -0.00014486 (at -1.86546499 -0.07792190 0.68651137)
iface= 3, ipnt= 134 (Z): anal= 0.35677534, fd= 0.35690308, err= -0.00012774 (at -1.86952774 -0.16292480 0.67877755)
iface= 3, ipnt= 161 (Z): anal= -0.35677535, fd= -0.35690310, err= 0.00012774 (at -1.86952763 -0.16292498 -0.67877755)
iface= 3, ipnt= 162 (Z): anal= -0.36470573, fd= -0.36485059, err= 0.00014486 (at -1.86546494 -0.07792198 -0.68651137)
iface= 3, ipnt= 171 (Z): anal= 0.70958843, fd= 0.70992693, err= -0.00033850 (at -0.80033748 -0.05587352 0.86498012)
iface= 3, ipnt= 172 (Z): anal= 0.69666692, fd= 0.69708261, err= -0.00041569 (at -0.80915257 -0.12247311 0.85827402)
iface= 3, ipnt= 173 (Z): anal= 0.66418389, fd= 0.66433552, err= -0.00015162 (at -0.81572851 -0.22887134 0.84097621)
iface= 3, ipnt= 197 (Z): anal= -0.66418370, fd= -0.66433532, err= 0.00015162 (at -0.81572848 -0.22887188 -0.84097611)
iface= 3, ipnt= 198 (Z): anal= -0.69666688, fd= -0.69708257, err= 0.00041569 (at -0.80915255 -0.12247336 -0.85827399)
iface= 3, ipnt= 199 (Z): anal= -0.70958843, fd= -0.70992693, err= 0.00033850 (at -0.80033747 -0.05587361 -0.86498011)
...too many errors to list
iface= 4, ipnt= 133 (Z): anal= -0.37112486, fd= -0.37127227, err= 0.00014741 (at 1.86546467 -0.05364987 -0.99694842)
iface= 4, ipnt= 134 (Z): anal= -0.35064319, fd= -0.35076874, err= 0.00012555 (at 1.86952710 -0.11211902 -0.98662154)
iface= 4, ipnt= 161 (Z): anal= 0.35064320, fd= 0.35076875, err= -0.00012555 (at 1.86952718 -0.11211893 0.98662156)
iface= 4, ipnt= 162 (Z): anal= 0.37112486, fd= 0.37127227, err= -0.00014741 (at 1.86546472 -0.05364982 0.99694843)
iface= 4, ipnt= 171 (Z): anal= -0.72812173, fd= -0.72846907, err= 0.00034734 (at 0.80033723 -0.04839481 -0.99843093)
iface= 4, ipnt= 172 (Z): anal= -0.70921154, fd= -0.70963472, err= 0.00042318 (at 0.80915206 -0.10592429 -0.99245491)
iface= 4, ipnt= 198 (Z): anal= 0.70921160, fd= 0.70963477, err= -0.00042318 (at 0.80915208 -0.10592413 0.99245493)
iface= 4, ipnt= 199 (Z): anal= 0.72812174, fd= 0.72846908, err= -0.00034734 (at 0.80033724 -0.04839475 0.99843093)
iface= 4, ipnt= 302 (Z): anal= -0.28908941, fd= -0.28919019, err= 0.00010078 (at 2.11263432 -0.05304636 -0.99662529)
iface= 4, ipnt= 309 (Z): anal= -0.32991283, fd= -0.33003634, err= 0.00012351 (at 1.98948963 -0.05338991 -0.99678810)
...too many errors to list
d(Face)/d(width) check complete with 524 total errors (errmax= 6.8330e-04)
iedge= 4, ipnt= 1 (Z): anal= -0.99878877, fd= -0.99908877, err= 0.00030001 (at 0.00000000 0.02454111 -0.99969710)
iedge= 4, ipnt= 2 (Z): anal= -0.99586100, fd= -0.99636719, err= 0.00050618 (at 0.00000000 0.04906730 -0.99878982)
iedge= 4, ipnt= 3 (Z): anal= -0.98490084, fd= -0.98558267, err= 0.00068182 (at 0.00000000 0.09801627 -0.99517053)
iedge= 4, ipnt= 4 (Z): anal= -0.94308367, fd= -0.94350232, err= 0.00041866 (at 0.00000000 0.19509030 -0.98077221)
iedge= 4, ipnt= 6 (Z): anal= -0.78865180, fd= -0.78849323, err= -0.00015857 (at 0.00000000 0.38267602 -0.92386559)
iedge= 4, ipnt= 30 (Z): anal= 0.78865180, fd= 0.78849323, err= 0.00015857 (at 0.00000000 0.38267602 0.92386559)
iedge= 4, ipnt= 32 (Z): anal= 0.94308367, fd= 0.94350232, err= -0.00041866 (at 0.00000000 0.19509030 0.98077221)
iedge= 4, ipnt= 33 (Z): anal= 0.98490084, fd= 0.98558267, err= -0.00068182 (at 0.00000000 0.09801627 0.99517053)
iedge= 4, ipnt= 34 (Z): anal= 0.99586100, fd= 0.99636719, err= -0.00050618 (at 0.00000000 0.04906730 0.99878982)
iedge= 4, ipnt= 35 (Z): anal= 0.99878877, fd= 0.99908877, err= -0.00030001 (at 0.00000000 0.02454111 0.99969710)
iedge= 9, ipnt= 1 (Z): anal= 0.99878877, fd= 0.99908877, err= -0.00030001 (at 0.00000000 -0.02454111 0.99969710)
iedge= 9, ipnt= 2 (Z): anal= 0.99586100, fd= 0.99636719, err= -0.00050618 (at 0.00000000 -0.04906730 0.99878982)
iedge= 9, ipnt= 3 (Z): anal= 0.98490084, fd= 0.98558267, err= -0.00068182 (at 0.00000000 -0.09801627 0.99517053)
iedge= 9, ipnt= 4 (Z): anal= 0.94308367, fd= 0.94350232, err= -0.00041866 (at 0.00000000 -0.19509030 0.98077221)
iedge= 9, ipnt= 6 (Z): anal= 0.78865180, fd= 0.78849323, err= 0.00015857 (at 0.00000000 -0.38267602 0.92386559)
iedge= 9, ipnt= 30 (Z): anal= -0.78865180, fd= -0.78849323, err= -0.00015857 (at 0.00000000 -0.38267602 -0.92386559)
iedge= 9, ipnt= 32 (Z): anal= -0.94308367, fd= -0.94350232, err= 0.00041866 (at 0.00000000 -0.19509030 -0.98077221)
iedge= 9, ipnt= 33 (Z): anal= -0.98490084, fd= -0.98558267, err= 0.00068182 (at 0.00000000 -0.09801627 -0.99517053)
iedge= 9, ipnt= 34 (Z): anal= -0.99586100, fd= -0.99636719, err= 0.00050618 (at 0.00000000 -0.04906730 -0.99878982)
iedge= 9, ipnt= 35 (Z): anal= -0.99878877, fd= -0.99908877, err= 0.00030001 (at 0.00000000 -0.02454111 -0.99969710)
d(Edge)/d(width) check complete with 20 total errors (errmax= 6.8182e-04)
d(Node)/d(width) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[4,1]" for ibody=12
iface= 2, ipnt= 133 (Z): anal= 0.61245396, fd= 0.61294600, err= -0.00049205 (at 1.86546467 0.05364987 0.99694842)
iface= 2, ipnt= 134 (Y): anal= 0.13944359, fd= 0.13954478, err= -0.00010119 (at 1.86952710 0.11211902 0.98662154)
iface= 2, ipnt= 134 (Z): anal= 0.58179514, fd= 0.58221733, err= -0.00042219 (at 1.86952710 0.11211902 0.98662154)
iface= 2, ipnt= 161 (Y): anal= 0.13944350, fd= 0.13954469, err= -0.00010119 (at 1.86952718 0.11211893 -0.98662156)
iface= 2, ipnt= 161 (Z): anal= -0.58179523, fd= -0.58221742, err= 0.00042219 (at 1.86952718 0.11211893 -0.98662156)
iface= 2, ipnt= 162 (Z): anal= -0.61245398, fd= -0.61294603, err= 0.00049205 (at 1.86546472 0.05364982 -0.99694843)
iface= 2, ipnt= 171 (Z): anal= 0.26558462, fd= 0.26578498, err= -0.00020036 (at 0.80033723 0.04839481 0.99843093)
iface= 2, ipnt= 172 (Z): anal= 0.26275499, fd= 0.26300307, err= -0.00024808 (at 0.80915206 0.10592429 0.99245491)
iface= 2, ipnt= 198 (Z): anal= -0.26275502, fd= -0.26300310, err= 0.00024808 (at 0.80915208 0.10592413 -0.99245493)
iface= 2, ipnt= 199 (Z): anal= -0.26558463, fd= -0.26578499, err= 0.00020036 (at 0.80033724 0.04839475 -0.99843093)
...too many errors to list
iface= 4, ipnt= 133 (Z): anal= -0.61245396, fd= -0.61294600, err= 0.00049205 (at 1.86546467 -0.05364987 -0.99694842)
iface= 4, ipnt= 134 (Y): anal= -0.13944359, fd= -0.13954478, err= 0.00010119 (at 1.86952710 -0.11211902 -0.98662154)
iface= 4, ipnt= 134 (Z): anal= -0.58179514, fd= -0.58221733, err= 0.00042219 (at 1.86952710 -0.11211902 -0.98662154)
iface= 4, ipnt= 161 (Y): anal= -0.13944350, fd= -0.13954469, err= 0.00010119 (at 1.86952718 -0.11211893 0.98662156)
iface= 4, ipnt= 161 (Z): anal= 0.58179523, fd= 0.58221742, err= -0.00042219 (at 1.86952718 -0.11211893 0.98662156)
iface= 4, ipnt= 162 (Z): anal= 0.61245398, fd= 0.61294603, err= -0.00049205 (at 1.86546472 -0.05364982 0.99694843)
iface= 4, ipnt= 171 (Z): anal= -0.26558462, fd= -0.26578498, err= 0.00020036 (at 0.80033723 -0.04839481 -0.99843093)
iface= 4, ipnt= 172 (Z): anal= -0.26275499, fd= -0.26300307, err= 0.00024808 (at 0.80915206 -0.10592429 -0.99245491)
iface= 4, ipnt= 198 (Z): anal= 0.26275502, fd= 0.26300310, err= -0.00024808 (at 0.80915208 -0.10592413 0.99245493)
iface= 4, ipnt= 199 (Z): anal= 0.26558463, fd= 0.26578499, err= -0.00020036 (at 0.80033724 -0.04839475 0.99843093)
...too many errors to list
d(Face)/d(width) check complete with 272 total errors (errmax= 6.6104e-04)
iedge= 7, ipnt= 1 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at 3.00000000 0.04900814 -0.99517053)
iedge= 7, ipnt= 1 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at 3.00000000 0.04900814 -0.99517053)
iedge= 7, ipnt= 2 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at 3.00000000 0.09754515 -0.98077221)
iedge= 7, ipnt= 2 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at 3.00000000 0.09754515 -0.98077221)
iedge= 7, ipnt= 3 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at 3.00000000 0.19133801 -0.92386559)
iedge= 7, ipnt= 21 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at 3.00000000 0.19133801 0.92386559)
iedge= 7, ipnt= 22 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at 3.00000000 0.09754515 0.98077221)
iedge= 7, ipnt= 22 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at 3.00000000 0.09754515 0.98077221)
iedge= 7, ipnt= 23 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at 3.00000000 0.04900814 0.99517053)
iedge= 7, ipnt= 23 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at 3.00000000 0.04900814 0.99517053)
iedge= 10, ipnt= 1 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at 3.00000000 -0.04900814 0.99517053)
iedge= 10, ipnt= 1 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at 3.00000000 -0.04900814 0.99517053)
iedge= 10, ipnt= 2 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at 3.00000000 -0.09754515 0.98077221)
iedge= 10, ipnt= 2 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at 3.00000000 -0.09754515 0.98077221)
iedge= 10, ipnt= 3 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at 3.00000000 -0.19133801 0.92386559)
iedge= 10, ipnt= 21 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at 3.00000000 -0.19133801 -0.92386559)
iedge= 10, ipnt= 22 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at 3.00000000 -0.09754515 -0.98077221)
iedge= 10, ipnt= 22 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at 3.00000000 -0.09754515 -0.98077221)
iedge= 10, ipnt= 23 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at 3.00000000 -0.04900814 -0.99517053)
iedge= 10, ipnt= 23 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at 3.00000000 -0.04900814 -0.99517053)
d(Edge)/d(width) check complete with 20 total errors (errmax= 6.6267e-04)
d(Node)/d(width) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[5,1]" for ibody=12
d(Face)/d(width) check complete with 0 total errors (errmax= 5.9882e-10)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "Rnose" for ibody=12
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 5.9882e-10)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "Rtail" for ibody=12
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 5.9882e-10)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xbase" for ibody=12
d(Face)/d(xbase) check complete with 0 total errors (errmax= 6.2090e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "ybase" for ibody=12
d(Face)/d(ybase) check complete with 0 total errors (errmax= 6.0161e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 1.9329e-10)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "zbase" for ibody=12
d(Face)/d(zbase) check complete with 0 total errors (errmax= 6.2130e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 1.9511e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.344 sec
Sensitivity checks complete with 1120 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m6.599s
user 0m6.660s
sys 0m0.000s
++++ set +x
data/basic/designF0bb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 104 / 180 )
data/basic/designF1bb.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF1bb.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.5163e-10)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 2.7299e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.5803e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 9.0344e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 5.3419e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 2.4473e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.3751e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.5163e-10)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[1,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 4.5163e-10)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[2,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 4.1142e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 4.0771e-07)
d(Node)/d(height) check complete with 0 total errors (errmax= 2.5447e-26)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[3,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.2418e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 4.3222e-10)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[4,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.3863e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 1.4222e-06)
d(Node)/d(height) check complete with 0 total errors (errmax= 1.0606e-27)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[5,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 4.5163e-10)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[1,1]" for ibody=10
d(Face)/d(width) check complete with 0 total errors (errmax= 4.5163e-10)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[2,1]" for ibody=10
iface= 1, ipnt= 215 (Z): anal= -0.24031193, fd= -0.24041573, err= 0.00010381 (at -0.75000018 0.09272459 -0.86845022)
iface= 1, ipnt= 216 (Z): anal= -0.27047123, fd= -0.27059937, err= 0.00012815 (at -0.84375017 0.09254889 -0.85279472)
iface= 1, ipnt= 217 (Z): anal= -0.30065285, fd= -0.30080706, err= 0.00015421 (at -0.93750016 0.09245817 -0.83717292)
iface= 1, ipnt= 218 (Z): anal= -0.33085510, fd= -0.33103685, err= 0.00018175 (at -1.03125016 0.09244554 -0.82158263)
iface= 1, ipnt= 219 (Z): anal= -0.36107613, fd= -0.36128667, err= 0.00021054 (at -1.12500015 0.09250411 -0.80602167)
iface= 1, ipnt= 220 (Z): anal= -0.39131402, fd= -0.39155434, err= 0.00024031 (at -1.21875014 0.09262698 -0.79048783)
iface= 1, ipnt= 221 (Z): anal= -0.42156672, fd= -0.42183756, err= 0.00027084 (at -1.31250013 0.09280728 -0.77497894)
iface= 1, ipnt= 222 (Z): anal= -0.45183207, fd= -0.45213394, err= 0.00030188 (at -1.40625013 0.09303810 -0.75949279)
iface= 1, ipnt= 223 (Z): anal= -0.48210785, fd= -0.48244102, err= 0.00033317 (at -1.50000012 0.09331256 -0.74402720)
iface= 1, ipnt= 224 (Z): anal= -0.51239174, fd= -0.51275622, err= 0.00036449 (at -1.59375011 0.09362377 -0.72857997)
...too many errors to list
iface= 2, ipnt= 215 (Z): anal= 0.24031193, fd= 0.24041573, err= -0.00010381 (at -0.75000018 -0.09272459 0.86845022)
iface= 2, ipnt= 216 (Z): anal= 0.27047123, fd= 0.27059937, err= -0.00012815 (at -0.84375017 -0.09254889 0.85279472)
iface= 2, ipnt= 217 (Z): anal= 0.30065285, fd= 0.30080706, err= -0.00015421 (at -0.93750016 -0.09245817 0.83717292)
iface= 2, ipnt= 218 (Z): anal= 0.33085510, fd= 0.33103685, err= -0.00018175 (at -1.03125016 -0.09244554 0.82158263)
iface= 2, ipnt= 219 (Z): anal= 0.36107613, fd= 0.36128667, err= -0.00021054 (at -1.12500015 -0.09250411 0.80602167)
iface= 2, ipnt= 220 (Z): anal= 0.39131402, fd= 0.39155434, err= -0.00024031 (at -1.21875014 -0.09262698 0.79048783)
iface= 2, ipnt= 221 (Z): anal= 0.42156672, fd= 0.42183756, err= -0.00027084 (at -1.31250013 -0.09280728 0.77497894)
iface= 2, ipnt= 222 (Z): anal= 0.45183207, fd= 0.45213394, err= -0.00030188 (at -1.40625013 -0.09303810 0.75949279)
iface= 2, ipnt= 223 (Z): anal= 0.48210785, fd= 0.48244102, err= -0.00033317 (at -1.50000012 -0.09331256 0.74402720)
iface= 2, ipnt= 224 (Z): anal= 0.51239174, fd= 0.51275622, err= -0.00036449 (at -1.59375011 -0.09362377 0.72857997)
...too many errors to list
d(Face)/d(width) check complete with 248 total errors (errmax= 6.6670e-04)
iedge= 2, ipnt= 1 (Z): anal= -0.99206933, fd= -0.99275612, err= 0.00068678 (at -3.00000000 0.09801627 -0.49758527)
iedge= 2, ipnt= 2 (Z): anal= -0.97075046, fd= -0.97118140, err= 0.00043094 (at -3.00000000 0.19509030 -0.49038610)
iedge= 2, ipnt= 4 (Z): anal= -0.88602223, fd= -0.88584408, err= -0.00017815 (at -3.00000000 0.38267602 -0.46193279)
iedge= 2, ipnt= 20 (Z): anal= 0.88602223, fd= 0.88584408, err= 0.00017815 (at -3.00000000 0.38267602 0.46193279)
iedge= 2, ipnt= 22 (Z): anal= 0.97075046, fd= 0.97118140, err= -0.00043094 (at -3.00000000 0.19509030 0.49038610)
iedge= 2, ipnt= 23 (Z): anal= 0.99206933, fd= 0.99275612, err= -0.00068678 (at -3.00000000 0.09801627 0.49758527)
iedge= 5, ipnt= 1 (Z): anal= 0.99206933, fd= 0.99275612, err= -0.00068678 (at -3.00000000 -0.09801627 0.49758527)
iedge= 5, ipnt= 2 (Z): anal= 0.97075046, fd= 0.97118140, err= -0.00043094 (at -3.00000000 -0.19509030 0.49038610)
iedge= 5, ipnt= 4 (Z): anal= 0.88602223, fd= 0.88584408, err= 0.00017815 (at -3.00000000 -0.38267602 0.46193279)
iedge= 5, ipnt= 20 (Z): anal= -0.88602223, fd= -0.88584408, err= -0.00017815 (at -3.00000000 -0.38267602 -0.46193279)
iedge= 5, ipnt= 22 (Z): anal= -0.97075046, fd= -0.97118140, err= 0.00043094 (at -3.00000000 -0.19509030 -0.49038610)
iedge= 5, ipnt= 23 (Z): anal= -0.99206933, fd= -0.99275612, err= 0.00068678 (at -3.00000000 -0.09801627 -0.49758527)
d(Edge)/d(width) check complete with 12 total errors (errmax= 6.8678e-04)
d(Node)/d(width) check complete with 0 total errors (errmax= 2.8756e-11)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[3,1]" for ibody=10
iface= 1, ipnt= 181 (Z): anal= -0.23554301, fd= -0.23566208, err= 0.00011907 (at 2.43749994 0.06063153 -1.00982328)
iface= 1, ipnt= 182 (Z): anal= -0.28299692, fd= -0.28315416, err= 0.00015724 (at 2.34374993 0.06292396 -1.01434748)
iface= 1, ipnt= 183 (Z): anal= -0.33185475, fd= -0.33205379, err= 0.00019905 (at 2.24999992 0.06527542 -1.01921607)
iface= 1, ipnt= 184 (Z): anal= -0.38177148, fd= -0.38201537, err= 0.00024389 (at 2.15624990 0.06766999 -1.02433514)
iface= 1, ipnt= 185 (Z): anal= -0.43240351, fd= -0.43269468, err= 0.00029117 (at 2.06249989 0.07009172 -1.02961076)
iface= 1, ipnt= 186 (Z): anal= -0.48340712, fd= -0.48374740, err= 0.00034028 (at 1.96874988 0.07252471 -1.03494899)
iface= 1, ipnt= 187 (Z): anal= -0.53443679, fd= -0.53482741, err= 0.00039062 (at 1.87499987 0.07495304 -1.04025592)
iface= 1, ipnt= 188 (Z): anal= -0.58514328, fd= -0.58558486, err= 0.00044157 (at 1.78124985 0.07736076 -1.04543761)
iface= 1, ipnt= 189 (Z): anal= -0.63517175, fd= -0.63566428, err= 0.00049254 (at 1.68749984 0.07973197 -1.05040013)
iface= 1, ipnt= 190 (Z): anal= -0.68415981, fd= -0.68470269, err= 0.00054288 (at 1.59374983 0.08205074 -1.05504956)
...too many errors to list
iface= 2, ipnt= 181 (Z): anal= 0.23554301, fd= 0.23566208, err= -0.00011907 (at 2.43749994 -0.06063153 1.00982328)
iface= 2, ipnt= 182 (Z): anal= 0.28299692, fd= 0.28315416, err= -0.00015724 (at 2.34374993 -0.06292396 1.01434748)
iface= 2, ipnt= 183 (Z): anal= 0.33185475, fd= 0.33205379, err= -0.00019905 (at 2.24999992 -0.06527542 1.01921607)
iface= 2, ipnt= 184 (Z): anal= 0.38177148, fd= 0.38201537, err= -0.00024389 (at 2.15624990 -0.06766999 1.02433514)
iface= 2, ipnt= 185 (Z): anal= 0.43240351, fd= 0.43269468, err= -0.00029117 (at 2.06249989 -0.07009172 1.02961076)
iface= 2, ipnt= 186 (Z): anal= 0.48340712, fd= 0.48374740, err= -0.00034028 (at 1.96874988 -0.07252471 1.03494899)
iface= 2, ipnt= 187 (Z): anal= 0.53443679, fd= 0.53482741, err= -0.00039062 (at 1.87499987 -0.07495304 1.04025592)
iface= 2, ipnt= 188 (Z): anal= 0.58514328, fd= 0.58558486, err= -0.00044157 (at 1.78124985 -0.07736076 1.04543761)
iface= 2, ipnt= 189 (Z): anal= 0.63517175, fd= 0.63566428, err= -0.00049254 (at 1.68749984 -0.07973197 1.05040013)
iface= 2, ipnt= 190 (Z): anal= 0.68415981, fd= 0.68470269, err= -0.00054288 (at 1.59374983 -0.08205074 1.05504956)
...too many errors to list
d(Face)/d(width) check complete with 472 total errors (errmax= 8.6827e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.3253e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[4,1]" for ibody=10
iface= 1, ipnt= 176 (Y): anal= 0.17748753, fd= 0.17761410, err= -0.00012657 (at 2.90624999 0.05061203 -0.99565583)
iface= 1, ipnt= 176 (Z): anal= -0.92854584, fd= -0.92920801, err= 0.00066216 (at 2.90624999 0.05061203 -0.99565583)
iface= 1, ipnt= 177 (Y): anal= 0.16622160, fd= 0.16634339, err= -0.00012180 (at 2.81249998 0.05237049 -0.99704909)
iface= 1, ipnt= 177 (Z): anal= -0.89777283, fd= -0.89843065, err= 0.00065783 (at 2.81249998 0.05237049 -0.99704909)
iface= 1, ipnt= 178 (Y): anal= 0.15513338, fd= 0.15524992, err= -0.00011654 (at 2.71874997 0.05426760 -0.99925640)
iface= 1, ipnt= 178 (Z): anal= -0.86513600, fd= -0.86578590, err= 0.00064990 (at 2.71874997 0.05426760 -0.99925640)
iface= 1, ipnt= 179 (Y): anal= 0.14430691, fd= 0.14441783, err= -0.00011092 (at 2.62499996 0.05628742 -1.00218381)
iface= 1, ipnt= 179 (Z): anal= -0.83086372, fd= -0.83150238, err= 0.00063866 (at 2.62499996 0.05628742 -1.00218381)
iface= 1, ipnt= 180 (Y): anal= 0.13380610, fd= 0.13391116, err= -0.00010506 (at 2.53124995 0.05841404 -1.00573742)
iface= 1, ipnt= 180 (Z): anal= -0.79517991, fd= -0.79580426, err= 0.00062435 (at 2.53124995 0.05841404 -1.00573742)
...too many errors to list
iface= 2, ipnt= 176 (Y): anal= -0.17748753, fd= -0.17761410, err= 0.00012657 (at 2.90624999 -0.05061203 0.99565583)
iface= 2, ipnt= 176 (Z): anal= 0.92854584, fd= 0.92920801, err= -0.00066216 (at 2.90624999 -0.05061203 0.99565583)
iface= 2, ipnt= 177 (Y): anal= -0.16622160, fd= -0.16634339, err= 0.00012180 (at 2.81249998 -0.05237049 0.99704909)
iface= 2, ipnt= 177 (Z): anal= 0.89777283, fd= 0.89843065, err= -0.00065783 (at 2.81249998 -0.05237049 0.99704909)
iface= 2, ipnt= 178 (Y): anal= -0.15513338, fd= -0.15524992, err= 0.00011654 (at 2.71874997 -0.05426760 0.99925640)
iface= 2, ipnt= 178 (Z): anal= 0.86513600, fd= 0.86578590, err= -0.00064990 (at 2.71874997 -0.05426760 0.99925640)
iface= 2, ipnt= 179 (Y): anal= -0.14430691, fd= -0.14441783, err= 0.00011092 (at 2.62499996 -0.05628742 1.00218381)
iface= 2, ipnt= 179 (Z): anal= 0.83086372, fd= 0.83150238, err= -0.00063866 (at 2.62499996 -0.05628742 1.00218381)
iface= 2, ipnt= 180 (Y): anal= -0.13380610, fd= -0.13391116, err= 0.00010506 (at 2.53124995 -0.05841404 1.00573742)
iface= 2, ipnt= 180 (Z): anal= 0.79517991, fd= 0.79580426, err= -0.00062435 (at 2.53124995 -0.05841404 1.00573742)
...too many errors to list
d(Face)/d(width) check complete with 276 total errors (errmax= 6.6216e-04)
iedge= 4, ipnt= 1 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at 3.00000000 0.04900814 -0.99517053)
iedge= 4, ipnt= 1 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at 3.00000000 0.04900814 -0.99517053)
iedge= 4, ipnt= 2 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at 3.00000000 0.09754515 -0.98077221)
iedge= 4, ipnt= 2 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at 3.00000000 0.09754515 -0.98077221)
iedge= 4, ipnt= 3 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at 3.00000000 0.19133801 -0.92386559)
iedge= 4, ipnt= 21 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at 3.00000000 0.19133801 0.92386559)
iedge= 4, ipnt= 22 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at 3.00000000 0.09754515 0.98077221)
iedge= 4, ipnt= 22 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at 3.00000000 0.09754515 0.98077221)
iedge= 4, ipnt= 23 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at 3.00000000 0.04900814 0.99517053)
iedge= 4, ipnt= 23 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at 3.00000000 0.04900814 0.99517053)
iedge= 6, ipnt= 1 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at 3.00000000 -0.04900814 0.99517053)
iedge= 6, ipnt= 1 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at 3.00000000 -0.04900814 0.99517053)
iedge= 6, ipnt= 2 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at 3.00000000 -0.09754515 0.98077221)
iedge= 6, ipnt= 2 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at 3.00000000 -0.09754515 0.98077221)
iedge= 6, ipnt= 3 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at 3.00000000 -0.19133801 0.92386559)
iedge= 6, ipnt= 21 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at 3.00000000 -0.19133801 -0.92386559)
iedge= 6, ipnt= 22 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at 3.00000000 -0.09754515 -0.98077221)
iedge= 6, ipnt= 22 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at 3.00000000 -0.09754515 -0.98077221)
iedge= 6, ipnt= 23 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at 3.00000000 -0.04900814 -0.99517053)
iedge= 6, ipnt= 23 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at 3.00000000 -0.04900814 -0.99517053)
d(Edge)/d(width) check complete with 20 total errors (errmax= 6.6267e-04)
d(Node)/d(width) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[5,1]" for ibody=10
d(Face)/d(width) check complete with 0 total errors (errmax= 4.5163e-10)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "Rnose" for ibody=10
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 4.5163e-10)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "Rtail" for ibody=10
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 4.5163e-10)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xbase" for ibody=10
d(Face)/d(xbase) check complete with 0 total errors (errmax= 4.5068e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ybase" for ibody=10
d(Face)/d(ybase) check complete with 0 total errors (errmax= 4.4639e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 1.9329e-10)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zbase" for ibody=10
d(Face)/d(zbase) check complete with 0 total errors (errmax= 3.8131e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0430e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.459 sec
Sensitivity checks complete with 1028 total errors (max config err= 8.6827e-04) with 0 suppressions
real 0m2.591s
user 0m2.624s
sys 0m0.016s
++++ set +x
data/basic/designF1bb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 105 / 180 )
data/basic/designF1rr.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF1rr.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.7919e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 4.7065e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.7145e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.5588e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 9.6507e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 8.4601e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.2465e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.4972e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.1015e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.7917e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[1,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[2,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 5.4622e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 2.2879e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[3,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 9.9857e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 3.0905e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[4,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.6509e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 2.6044e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[5,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[1,1]" for ibody=12
d(Face)/d(width) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[2,1]" for ibody=12
iface= 1, ipnt= 297 (Z): anal= 0.57126925, fd= 0.57115135, err= 0.00011790 (at -1.82343346 0.41408124 0.65799149)
iface= 1, ipnt= 308 (Z): anal= -0.69124858, fd= -0.69110658, err= -0.00014200 (at -2.13622388 0.40709951 -0.59525276)
iface= 1, ipnt= 314 (Z): anal= -0.85478400, fd= -0.85461096, err= -0.00017304 (at -2.79165903 0.38880312 -0.48749859)
iface= 1, ipnt= 315 (Z): anal= 0.85478400, fd= 0.85461096, err= 0.00017304 (at -2.79165903 0.38880312 0.48749859)
iface= 1, ipnt= 321 (Z): anal= 0.78478251, fd= 0.78462222, err= 0.00016029 (at -2.44065950 0.39896253 0.54042977)
iface= 1, ipnt= 323 (Z): anal= -0.75609893, fd= -0.75594417, err= -0.00015476 (at -2.33727824 0.40182876 -0.55820514)
iface= 1, ipnt= 330 (Z): anal= -0.87766261, fd= -0.87748707, err= -0.00017554 (at -3.13883810 0.37860814 -0.44734452)
iface= 1, ipnt= 333 (Z): anal= 0.73631890, fd= 0.73617862, err= 0.00014028 (at -4.10342580 0.34486969 0.37700692)
iface= 1, ipnt= 352 (Z): anal= -0.56156828, fd= -0.56145234, err= -0.00011593 (at -1.79998242 0.41452491 -0.66286997)
iface= 1, ipnt= 360 (Z): anal= -0.79579783, fd= -0.79564402, err= -0.00015382 (at -3.85151548 0.35529190 -0.39232598)
...too many errors to list
iface= 2, ipnt= 296 (Z): anal= -0.57126925, fd= -0.57115135, err= -0.00011790 (at -1.82343346 -0.41408124 -0.65799149)
iface= 2, ipnt= 310 (Z): anal= 0.69124858, fd= 0.69110658, err= 0.00014200 (at -2.13622388 -0.40709951 0.59525276)
iface= 2, ipnt= 317 (Z): anal= 0.85478400, fd= 0.85461096, err= 0.00017304 (at -2.79165903 -0.38880312 0.48749859)
iface= 2, ipnt= 319 (Z): anal= -0.72478907, fd= -0.72464044, err= -0.00014863 (at -2.23584302 -0.40454616 -0.57651173)
iface= 2, ipnt= 324 (Z): anal= 0.78478251, fd= 0.78462222, err= 0.00016029 (at -2.44065950 -0.39896253 0.54042977)
iface= 2, ipnt= 329 (Z): anal= -0.82028037, fd= -0.82012074, err= -0.00015963 (at -3.72541137 -0.35995426 -0.40046221)
iface= 2, ipnt= 334 (Z): anal= -0.73631890, fd= -0.73617862, err= -0.00014028 (at -4.10342580 -0.34486969 -0.37700692)
iface= 2, ipnt= 341 (Z): anal= -0.86753710, fd= -0.86736211, err= -0.00017500 (at -2.90476073 -0.38547396 -0.47306089)
iface= 2, ipnt= 350 (Z): anal= -0.86052616, fd= -0.86035632, err= -0.00016984 (at -3.44381281 -0.36937970 -0.42063716)
iface= 2, ipnt= 355 (Z): anal= 0.56156828, fd= 0.56145234, err= 0.00011593 (at -1.79998242 -0.41452491 0.66286997)
...too many errors to list
d(Face)/d(width) check complete with 131 total errors (errmax= 6.3184e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.3498e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[3,1]" for ibody=12
iface= 1, ipnt= 286 (Z): anal= -0.79825214, fd= -0.79803771, err= -0.00021443 (at -0.90340007 0.41782557 -0.84182619)
iface= 1, ipnt= 290 (Z): anal= 0.85705461, fd= 0.85684062, err= 0.00021399 (at -0.52782922 0.40846752 0.89415314)
iface= 1, ipnt= 291 (Z): anal= 0.68356531, fd= 0.68337349, err= 0.00019183 (at -1.25557428 0.42026792 0.77645291)
iface= 1, ipnt= 293 (Z): anal= -0.72944822, fd= -0.72931934, err= -0.00012889 (at 0.18746782 0.37054053 -0.92479867)
iface= 1, ipnt= 297 (Z): anal= 0.43934866, fd= 0.43921979, err= 0.00012886 (at -1.82343346 0.41408124 0.65799149)
iface= 1, ipnt= 298 (Z): anal= -0.59245460, fd= -0.59228493, err= -0.00016967 (at -1.47882443 0.41910266 -0.73047288)
iface= 1, ipnt= 299 (Z): anal= -0.85437138, fd= -0.85415575, err= -0.00021564 (at -0.57240285 0.40996695 -0.88914762)
iface= 1, ipnt= 307 (Z): anal= 0.72944822, fd= 0.72931934, err= 0.00012889 (at 0.18746782 0.37054053 0.92479867)
iface= 1, ipnt= 313 (Z): anal= -0.83427835, fd= -0.83409251, err= -0.00018584 (at -0.18746039 0.39351158 -0.91985746)
iface= 1, ipnt= 338 (Z): anal= 0.80103464, fd= 0.80081982, err= 0.00021482 (at -0.89242031 0.41765518 0.84365147)
...too many errors to list
iface= 2, ipnt= 286 (Z): anal= 0.79825214, fd= 0.79803771, err= 0.00021443 (at -0.90340007 -0.41782557 0.84182619)
iface= 2, ipnt= 289 (Z): anal= -0.68356531, fd= -0.68337349, err= -0.00019183 (at -1.25557428 -0.42026792 -0.77645291)
iface= 2, ipnt= 293 (Z): anal= -0.85705461, fd= -0.85684062, err= -0.00021399 (at -0.52782922 -0.40846752 -0.89415314)
iface= 2, ipnt= 296 (Z): anal= -0.43934866, fd= -0.43921979, err= -0.00012886 (at -1.82343346 -0.41408124 -0.65799149)
iface= 2, ipnt= 301 (Z): anal= 0.85437138, fd= 0.85415575, err= 0.00021564 (at -0.57240285 -0.40996695 0.88914762)
iface= 2, ipnt= 305 (Z): anal= -0.72944822, fd= -0.72931934, err= -0.00012889 (at 0.18746782 -0.37054053 -0.92479867)
iface= 2, ipnt= 306 (Z): anal= 0.59245460, fd= 0.59228493, err= 0.00016967 (at -1.47882443 -0.41910266 0.73047288)
iface= 2, ipnt= 307 (Z): anal= 0.83427835, fd= 0.83409251, err= 0.00018584 (at -0.18746039 -0.39351158 0.91985746)
iface= 2, ipnt= 309 (Z): anal= 0.72944822, fd= 0.72931934, err= 0.00012889 (at 0.18746782 -0.37054053 0.92479867)
iface= 2, ipnt= 330 (Z): anal= -0.80103464, fd= -0.80081982, err= -0.00021482 (at -0.89242031 -0.41765518 -0.84365147)
...too many errors to list
d(Face)/d(width) check complete with 160 total errors (errmax= 6.0702e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.4470e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[4,1]" for ibody=12
iface= 1, ipnt= 445 (Z): anal= 0.55591335, fd= 0.55581046, err= 0.00010289 (at 2.27367164 0.22441607 0.94862318)
iface= 1, ipnt= 448 (Z): anal= 0.55789201, fd= 0.55778325, err= 0.00010877 (at 2.68106639 0.20417273 0.93775604)
iface= 1, ipnt= 466 (Z): anal= 0.55986332, fd= 0.55975689, err= 0.00010643 (at 2.46683461 0.21427572 0.94444279)
iface= 1, ipnt= 472 (Z): anal= 0.51819611, fd= 0.51808858, err= 0.00010752 (at 3.41285977 0.17807909 0.89883815)
iface= 1, ipnt= 476 (Z): anal= -0.55986332, fd= -0.55975689, err= -0.00010643 (at 2.46683461 0.21427572 -0.94444279)
iface= 1, ipnt= 490 (Z): anal= 0.55032040, fd= 0.55021068, err= 0.00010972 (at 2.90477164 0.19489832 0.92849693)
iface= 1, ipnt= 504 (Z): anal= -0.53775077, fd= -0.53764140, err= -0.00010937 (at 3.13884908 0.18653484 -0.91637996)
iface= 1, ipnt= 515 (Z): anal= -0.55154913, fd= -0.55143945, err= -0.00010968 (at 2.87625487 0.19600909 -0.92980452)
iface= 1, ipnt= 534 (Z): anal= -0.49925687, fd= -0.49915178, err= -0.00010509 (at 3.63109888 0.17198068 -0.88191257)
iface= 1, ipnt= 556 (Z): anal= 0.49925687, fd= 0.49915178, err= 0.00010509 (at 3.63109888 0.17198068 0.88191257)
...too many errors to list
iface= 2, ipnt= 447 (Z): anal= -0.55938826, fd= -0.55928264, err= -0.00010562 (at 2.41463506 -0.21691990 -0.94574520)
iface= 2, ipnt= 448 (Z): anal= 0.55789201, fd= 0.55778325, err= 0.00010877 (at 2.68106639 -0.20417273 0.93775604)
iface= 2, ipnt= 450 (Z): anal= -0.55789201, fd= -0.55778325, err= -0.00010877 (at 2.68106639 -0.20417273 -0.93775604)
iface= 2, ipnt= 455 (Z): anal= -0.55260919, fd= -0.55250809, err= -0.00010110 (at 2.19829010 -0.22863558 -0.94978229)
iface= 2, ipnt= 474 (Z): anal= 0.55986332, fd= 0.55975689, err= 0.00010643 (at 2.46683461 -0.21427572 0.94444279)
iface= 2, ipnt= 489 (Z): anal= 0.55032040, fd= 0.55021068, err= 0.00010972 (at 2.90477164 -0.19489832 0.92849693)
iface= 2, ipnt= 497 (Z): anal= -0.55094450, fd= -0.55083480, err= -0.00010970 (at 2.89049285 -0.19545192 -0.92915626)
iface= 2, ipnt= 501 (Z): anal= -0.53680876, fd= -0.53669945, err= -0.00010930 (at 3.15381063 -0.18604146 -0.91551963)
iface= 2, ipnt= 502 (Z): anal= 0.54134100, fd= 0.54123142, err= 0.00010958 (at 3.07936620 -0.18854067 0.91969557)
iface= 2, ipnt= 510 (Z): anal= -0.51819611, fd= -0.51808858, err= -0.00010752 (at 3.41285977 -0.17807909 -0.89883815)
...too many errors to list
d(Face)/d(width) check complete with 119 total errors (errmax= 5.6817e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 3.8171e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[5,1]" for ibody=12
d(Face)/d(width) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "Rnose" for ibody=12
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 7.1039e-07)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 7.4060e-07)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "Rtail" for ibody=12
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 2.6178e-07)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 2.3919e-07)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xbase" for ibody=12
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.2016e-09)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 1.0020e-09)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "ybase" for ibody=12
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 6.6613e-16)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "zbase" for ibody=12
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0417e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.598 sec
Sensitivity checks complete with 410 total errors (max config err= 6.3184e-04) with 0 suppressions
real 0m6.329s
user 0m6.528s
sys 0m0.004s
++++ set +x
data/basic/designF1rr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 106 / 180 )
data/basic/designF1rs.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF1rs.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.6751e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 4.7065e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.6820e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.5588e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 9.9374e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 8.4601e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.0259e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 4.3178e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.2071e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.4403e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[1,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.1469e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[2,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 5.2875e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 2.2879e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[3,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 9.9803e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 3.1371e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[4,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.5834e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 2.6044e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[5,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.1469e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[1,1]" for ibody=12
d(Face)/d(width) check complete with 0 total errors (errmax= 1.1469e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[2,1]" for ibody=12
iface= 1, ipnt= 318 (Z): anal= 0.62831005, fd= 0.62818064, err= 0.00012941 (at -1.96586948 0.41112742 0.62880376)
iface= 1, ipnt= 326 (Z): anal= -0.50262957, fd= -0.50252561, err= -0.00010395 (at -1.66082120 0.41687350 -0.69208640)
iface= 1, ipnt= 330 (Z): anal= -0.75609893, fd= -0.75594417, err= -0.00015476 (at -2.33727824 0.40182876 -0.55820514)
iface= 1, ipnt= 331 (Z): anal= 0.84532020, fd= 0.84515437, err= 0.00016583 (at -3.56841958 0.36535267 0.41129937)
iface= 1, ipnt= 333 (Z): anal= 0.74074715, fd= 0.74059538, err= 0.00015176 (at -2.28632549 0.40320701 0.56729808)
iface= 1, ipnt= 338 (Z): anal= -0.87534802, fd= -0.87517215, err= -0.00017587 (at -3.02049026 0.38207572 -0.45966244)
iface= 1, ipnt= 341 (Z): anal= 0.84225901, fd= 0.84208810, err= 0.00017091 (at -2.70847939 0.39124556 0.49895076)
iface= 1, ipnt= 349 (Z): anal= -0.76770152, fd= -0.76755418, err= -0.00014734 (at -3.97765047 0.35027792 -0.38454435)
iface= 1, ipnt= 352 (Z): anal= -0.83260645, fd= -0.83243725, err= -0.00016920 (at -2.65377995 0.39284437 -0.50685994)
iface= 1, ipnt= 354 (Z): anal= 0.87677540, fd= 0.87660046, err= 0.00017494 (at -3.19889009 0.37683704 0.44156351)
...too many errors to list
iface= 2, ipnt= 314 (Z): anal= -0.62831005, fd= -0.62818064, err= -0.00012941 (at -1.96586948 -0.41112742 -0.62880376)
iface= 2, ipnt= 321 (Z): anal= -0.87645072, fd= -0.87627482, err= -0.00017590 (at -3.04984244 -0.38121649 -0.45648416)
iface= 2, ipnt= 326 (Z): anal= 0.50262957, fd= 0.50252561, err= 0.00010395 (at -1.66082120 -0.41687350 0.69208640)
iface= 2, ipnt= 332 (Z): anal= 0.75609893, fd= 0.75594417, err= 0.00015476 (at -2.33727824 -0.40182876 0.55820514)
iface= 2, ipnt= 333 (Z): anal= -0.74074715, fd= -0.74059538, err= -0.00015176 (at -2.28632549 -0.40320701 -0.56729808)
iface= 2, ipnt= 339 (Z): anal= 0.87534802, fd= 0.87517215, err= 0.00017587 (at -3.02049026 -0.38207572 0.45966244)
iface= 2, ipnt= 350 (Z): anal= 0.83260645, fd= 0.83243725, err= 0.00016920 (at -2.65377995 -0.39284437 0.50685994)
iface= 2, ipnt= 353 (Z): anal= -0.84225901, fd= -0.84208810, err= -0.00017091 (at -2.70847939 -0.39124556 -0.49895076)
iface= 2, ipnt= 355 (Z): anal= -0.76770152, fd= -0.76755418, err= -0.00014734 (at -3.97765047 -0.35027792 -0.38454435)
iface= 2, ipnt= 361 (Z): anal= -0.86052616, fd= -0.86035632, err= -0.00016984 (at -3.44381281 -0.36937970 -0.42063716)
...too many errors to list
d(Face)/d(width) check complete with 144 total errors (errmax= 5.8615e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.3498e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[3,1]" for ibody=12
iface= 1, ipnt= 308 (Z): anal= -0.74664218, fd= -0.74643675, err= -0.00020543 (at -1.07910380 0.41975494 -0.81069069)
iface= 1, ipnt= 318 (Z): anal= 0.37530097, fd= 0.37519002, err= 0.00011094 (at -1.96586948 0.41112742 0.62880376)
iface= 1, ipnt= 319 (Z): anal= 0.83914761, fd= 0.83892972, err= 0.00021789 (at -0.70535544 0.41381057 0.87218122)
iface= 1, ipnt= 324 (Z): anal= 0.61157088, fd= 0.61139639, err= 0.00017449 (at -1.43385114 0.41948615 0.73988727)
iface= 1, ipnt= 325 (Z): anal= -0.83182750, fd= -0.83160970, err= -0.00021780 (at -0.74947101 0.41487988 -0.86591613)
iface= 1, ipnt= 326 (Z): anal= -0.51254892, fd= -0.51240013, err= -0.00014879 (at -1.66082120 0.41687350 -0.69208640)
iface= 1, ipnt= 327 (Z): anal= 0.66844843, fd= 0.66834517, err= 0.00010326 (at 0.38060070 0.35876683 0.93049606)
iface= 1, ipnt= 334 (Z): anal= 0.84816496, fd= 0.84796875, err= 0.00019621 (at -0.27946576 0.39816267 0.91518964)
iface= 1, ipnt= 336 (Z): anal= -0.85622096, fd= -0.85601651, err= -0.00020444 (at -0.37049325 0.40232283 -0.90887505)
iface= 1, ipnt= 337 (Z): anal= -0.66844843, fd= -0.66834517, err= -0.00010326 (at 0.38060070 0.35876683 -0.93049606)
...too many errors to list
iface= 2, ipnt= 305 (Z): anal= 0.74664218, fd= 0.74643675, err= 0.00020543 (at -1.07910380 -0.41975494 0.81069069)
iface= 2, ipnt= 314 (Z): anal= -0.37530097, fd= -0.37519002, err= -0.00011094 (at -1.96586948 -0.41112742 -0.62880376)
iface= 2, ipnt= 315 (Z): anal= -0.83914761, fd= -0.83892972, err= -0.00021789 (at -0.70535544 -0.41381057 -0.87218122)
iface= 2, ipnt= 319 (Z): anal= -0.61157088, fd= -0.61139639, err= -0.00017449 (at -1.43385114 -0.41948615 -0.73988727)
iface= 2, ipnt= 325 (Z): anal= 0.83182750, fd= 0.83160970, err= 0.00021780 (at -0.74947101 -0.41487988 0.86591613)
iface= 2, ipnt= 326 (Z): anal= 0.51254892, fd= 0.51240013, err= 0.00014879 (at -1.66082120 -0.41687350 0.69208640)
iface= 2, ipnt= 330 (Z): anal= 0.85622096, fd= 0.85601651, err= 0.00020444 (at -0.37049325 -0.40232283 0.90887505)
iface= 2, ipnt= 335 (Z): anal= -0.75377551, fd= -0.75356868, err= -0.00020683 (at -1.05712022 -0.41959372 -0.81476816)
iface= 2, ipnt= 337 (Z): anal= 0.66844843, fd= 0.66834517, err= 0.00010326 (at 0.38060070 -0.35876683 0.93049606)
iface= 2, ipnt= 342 (Z): anal= -0.66844843, fd= -0.66834517, err= -0.00010326 (at 0.38060070 -0.35876683 -0.93049606)
...too many errors to list
d(Face)/d(width) check complete with 154 total errors (errmax= 5.5177e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.4874e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[4,1]" for ibody=12
iface= 1, ipnt= 446 (Z): anal= 0.54108966, fd= 0.54098619, err= 0.00010348 (at 2.26201126 0.23870168 0.98637166)
iface= 1, ipnt= 447 (Z): anal= -0.53410681, fd= -0.53400588, err= -0.00010092 (at 2.17904582 0.24402927 -0.98836569)
iface= 1, ipnt= 464 (Z): anal= -0.55189140, fd= -0.55178321, err= -0.00010820 (at 2.47499483 0.22502430 -0.97717774)
iface= 1, ipnt= 470 (Z): anal= 0.55109607, fd= 0.55098595, err= 0.00011012 (at 2.73451201 0.20836425 0.95685869)
iface= 1, ipnt= 476 (Z): anal= 0.55319306, fd= 0.55308391, err= 0.00010915 (at 2.54586464 0.22047372 0.97268989)
iface= 1, ipnt= 489 (Z): anal= 0.53930061, fd= 0.53919218, err= 0.00010842 (at 2.94609227 0.19479324 0.93166247)
iface= 1, ipnt= 490 (Z): anal= -0.54574949, fd= -0.54563995, err= -0.00010954 (at 2.85214632 0.20081731 -0.94388312)
iface= 1, ipnt= 527 (Z): anal= -0.52113015, fd= -0.52102562, err= -0.00010453 (at 3.13352910 0.18278450 -0.90203738)
iface= 1, ipnt= 528 (Z): anal= 0.52113015, fd= 0.52102562, err= 0.00010453 (at 3.13352910 0.18278450 0.90203738)
iface= 1, ipnt= 665 (Z): anal= 0.65847555, fd= 0.65872922, err= -0.00025367 (at 1.77516584 0.13622063 1.04684148)
...too many errors to list
iface= 2, ipnt= 445 (Z): anal= -0.53410681, fd= -0.53400588, err= -0.00010092 (at 2.17904582 -0.24402927 -0.98836569)
iface= 2, ipnt= 446 (Z): anal= 0.54108966, fd= 0.54098619, err= 0.00010348 (at 2.26201126 -0.23870168 0.98637166)
iface= 2, ipnt= 461 (Z): anal= -0.55189140, fd= -0.55178321, err= -0.00010820 (at 2.47499483 -0.22502430 -0.97717774)
iface= 2, ipnt= 470 (Z): anal= 0.55109607, fd= 0.55098595, err= 0.00011012 (at 2.73451201 -0.20836425 0.95685869)
iface= 2, ipnt= 477 (Z): anal= 0.55319306, fd= 0.55308391, err= 0.00010915 (at 2.54586464 -0.22047372 0.97268989)
iface= 2, ipnt= 486 (Z): anal= 0.53930061, fd= 0.53919218, err= 0.00010842 (at 2.94609227 -0.19479324 0.93166247)
iface= 2, ipnt= 487 (Z): anal= -0.54574949, fd= -0.54563995, err= -0.00010954 (at 2.85214632 -0.20081731 -0.94388312)
iface= 2, ipnt= 530 (Z): anal= 0.52113015, fd= 0.52102562, err= 0.00010453 (at 3.13352910 -0.18278450 0.90203738)
iface= 2, ipnt= 538 (Z): anal= -0.52624267, fd= -0.52613698, err= -0.00010569 (at 3.08672661 -0.18578173 -0.91008972)
iface= 2, ipnt= 676 (Z): anal= -0.47737781, fd= -0.47753272, err= 0.00015491 (at 1.26289716 -0.15260271 -1.02740573)
...too many errors to list
d(Face)/d(width) check complete with 186 total errors (errmax= 5.0681e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 3.6791e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[5,1]" for ibody=12
d(Face)/d(width) check complete with 0 total errors (errmax= 1.1469e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "Rnose" for ibody=12
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 7.1027e-07)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 7.4060e-07)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "Rtail" for ibody=12
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 1.1469e-09)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xbase" for ibody=12
d(Face)/d(xbase) check complete with 0 total errors (errmax= 1.6121e-09)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 9.7368e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "ybase" for ibody=12
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.1252e-09)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 4.4409e-16)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "zbase" for ibody=12
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.1428e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0428e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.593 sec
Sensitivity checks complete with 484 total errors (max config err= 5.8615e-04) with 0 suppressions
real 0m6.284s
user 0m6.488s
sys 0m0.008s
++++ set +x
data/basic/designF1rs -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 107 / 180 )
data/basic/designF1sr.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF1sr.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.6543e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.8721e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.5229e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.5608e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 7.8153e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 6.3419e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.0429e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.4972e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.0914e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.7917e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[1,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[2,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 4.5744e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 2.0199e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[3,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.1037e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 1.9823e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[4,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.5379e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 8.0320e-07)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[5,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[1,1]" for ibody=12
d(Face)/d(width) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[2,1]" for ibody=12
iface= 1, ipnt= 299 (Z): anal= 0.67153827, fd= 0.67139744, err= 0.00014083 (at -2.26200212 0.42378258 0.61294277)
iface= 1, ipnt= 305 (Z): anal= 0.53050894, fd= 0.53039610, err= 0.00011284 (at -1.88219500 0.43303856 0.69116831)
iface= 1, ipnt= 310 (Z): anal= -0.54906580, fd= -0.54894920, err= -0.00011660 (at -1.92974036 0.43228911 -0.68157117)
iface= 1, ipnt= 317 (Z): anal= 0.82951062, fd= 0.82934199, err= 0.00016863 (at -2.85213735 0.39353472 0.49099294)
iface= 1, ipnt= 324 (Z): anal= -0.75344962, fd= -0.75329347, err= -0.00015615 (at -2.52223959 0.41293528 -0.55852486)
iface= 1, ipnt= 338 (Z): anal= -0.85931285, fd= -0.85914172, err= -0.00017113 (at -3.11012379 0.37369005 -0.44097546)
iface= 1, ipnt= 346 (Z): anal= 0.86138978, fd= 0.86121899, err= 0.00017079 (at -3.15690804 0.36964650 0.43225157)
iface= 1, ipnt= 372 (Z): anal= 0.84045390, fd= 0.84029484, err= 0.00015906 (at -3.55321432 0.33046095 0.36226758)
iface= 1, ipnt= 373 (Z): anal= -0.84625724, fd= -0.84609606, err= -0.00016118 (at -3.50670678 0.33548440 -0.37014324)
iface= 1, ipnt= 438 (Z): anal= 0.76328606, fd= 0.76312816, err= 0.00015790 (at -2.55766066 0.41116146 0.55115628)
...too many errors to list
iface= 2, ipnt= 299 (Z): anal= -0.67153827, fd= -0.67139744, err= -0.00014083 (at -2.26200212 -0.42378258 -0.61294277)
iface= 2, ipnt= 306 (Z): anal= 0.54906580, fd= 0.54894920, err= 0.00011660 (at -1.92974036 -0.43228911 0.68157117)
iface= 2, ipnt= 310 (Z): anal= -0.53050894, fd= -0.53039610, err= -0.00011284 (at -1.88219500 -0.43303856 -0.69116831)
iface= 2, ipnt= 317 (Z): anal= -0.82951062, fd= -0.82934199, err= -0.00016863 (at -2.85213735 -0.39353472 -0.49099294)
iface= 2, ipnt= 324 (Z): anal= 0.75344962, fd= 0.75329347, err= 0.00015615 (at -2.52223959 -0.41293528 0.55852486)
iface= 2, ipnt= 332 (Z): anal= 0.85931285, fd= 0.85914172, err= 0.00017113 (at -3.11012379 -0.37369005 0.44097546)
iface= 2, ipnt= 346 (Z): anal= -0.86138978, fd= -0.86121899, err= -0.00017079 (at -3.15690804 -0.36964650 -0.43225157)
iface= 2, ipnt= 379 (Z): anal= -0.84045390, fd= -0.84029484, err= -0.00015906 (at -3.55321432 -0.33046095 -0.36226758)
iface= 2, ipnt= 381 (Z): anal= 0.84625724, fd= 0.84609606, err= 0.00016118 (at -3.50670678 -0.33548440 0.37014324)
iface= 2, ipnt= 438 (Z): anal= -0.76328606, fd= -0.76312816, err= -0.00015790 (at -2.55766066 -0.41116146 -0.55115628)
...too many errors to list
d(Face)/d(width) check complete with 110 total errors (errmax= 5.2125e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.6564e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[3,1]" for ibody=12
iface= 1, ipnt= 302 (Z): anal= 0.80536564, fd= 0.80515016, err= 0.00021547 (at -0.92893354 0.42561341 0.85599603)
iface= 1, ipnt= 305 (Z): anal= 0.45789890, fd= 0.45776558, err= 0.00013332 (at -1.88219500 0.43303856 0.69116831)
iface= 1, ipnt= 310 (Z): anal= -0.43646029, fd= -0.43633289, err= -0.00012740 (at -1.92974036 0.43228911 -0.68157117)
iface= 1, ipnt= 311 (Z): anal= -0.71793583, fd= -0.71773655, err= -0.00019928 (at -1.23903921 0.43248897 -0.80985050)
iface= 1, ipnt= 312 (Z): anal= 0.71793583, fd= 0.71773655, err= 0.00019928 (at -1.23903921 0.43248897 0.80985050)
iface= 1, ipnt= 314 (Z): anal= 0.85734354, fd= 0.85712951, err= 0.00021403 (at -0.54737499 0.41181525 0.89848854)
iface= 1, ipnt= 316 (Z): anal= -0.72944822, fd= -0.72931934, err= -0.00012889 (at 0.18746782 0.37054053 -0.92479867)
iface= 1, ipnt= 322 (Z): anal= -0.85050145, fd= -0.85030304, err= -0.00019841 (at -0.30915795 0.40042117 -0.91528069)
iface= 1, ipnt= 326 (Z): anal= -0.61164895, fd= -0.61147490, err= -0.00017405 (at -1.52512461 0.43511915 -0.76013243)
iface= 1, ipnt= 331 (Z): anal= 0.81422557, fd= 0.81405232, err= 0.00017326 (at -0.09504706 0.38847423 0.92293695)
...too many errors to list
iface= 2, ipnt= 302 (Z): anal= -0.80536564, fd= -0.80515016, err= -0.00021547 (at -0.92893354 -0.42561341 -0.85599603)
iface= 2, ipnt= 306 (Z): anal= 0.43646029, fd= 0.43633289, err= 0.00012740 (at -1.92974036 -0.43228911 0.68157117)
iface= 2, ipnt= 310 (Z): anal= -0.45789890, fd= -0.45776558, err= -0.00013332 (at -1.88219500 -0.43303856 -0.69116831)
iface= 2, ipnt= 311 (Z): anal= 0.61164895, fd= 0.61147490, err= 0.00017405 (at -1.52512461 -0.43511915 0.76013243)
iface= 2, ipnt= 313 (Z): anal= -0.72944822, fd= -0.72931934, err= -0.00012889 (at 0.18746782 -0.37054053 -0.92479867)
iface= 2, ipnt= 314 (Z): anal= -0.85734354, fd= -0.85712951, err= -0.00021403 (at -0.54737499 -0.41181525 -0.89848854)
iface= 2, ipnt= 316 (Z): anal= -0.64923664, fd= -0.64905329, err= -0.00018336 (at -1.42979347 -0.43465341 -0.77734874)
iface= 2, ipnt= 319 (Z): anal= 0.85861308, fd= 0.85840120, err= 0.00021189 (at -0.49971021 -0.40970067 0.90249769)
iface= 2, ipnt= 322 (Z): anal= 0.72944822, fd= 0.72931934, err= 0.00012889 (at 0.18746782 -0.37054053 0.92479867)
iface= 2, ipnt= 339 (Z): anal= -0.83190676, fd= -0.83172242, err= -0.00018435 (at -0.17827464 -0.39330430 -0.92085048)
...too many errors to list
d(Face)/d(width) check complete with 148 total errors (errmax= 8.4567e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.4470e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[4,1]" for ibody=12
iface= 1, ipnt= 445 (Z): anal= 0.55492560, fd= 0.55482328, err= 0.00010232 (at 2.24843062 0.22581273 0.94904059)
iface= 1, ipnt= 452 (Z): anal= -0.55260919, fd= -0.55250809, err= -0.00010110 (at 2.19829010 0.22863558 -0.94978229)
iface= 1, ipnt= 460 (Z): anal= -0.55995618, fd= -0.55984929, err= -0.00010689 (at 2.49972597 0.21264632 -0.94355627)
iface= 1, ipnt= 461 (Z): anal= 0.55994996, fd= 0.55984316, err= 0.00010680 (at 2.49313103 0.21297075 0.94373810)
iface= 1, ipnt= 465 (Z): anal= 0.55723653, fd= 0.55712757, err= 0.00010896 (at 2.70849015 0.20296618 0.93674504)
iface= 1, ipnt= 467 (Z): anal= -0.55377046, fd= -0.55366094, err= -0.00010952 (at 2.81970601 0.19827315 -0.93228823)
iface= 1, ipnt= 473 (Z): anal= 0.54967695, fd= 0.54956721, err= 0.00010974 (at 2.91909150 0.19434833 0.92782647)
iface= 1, ipnt= 488 (Z): anal= -0.54176942, fd= -0.54165983, err= -0.00010960 (at 3.07197329 0.18879516 -0.92009612)
iface= 1, ipnt= 491 (Z): anal= -0.53026480, fd= -0.53015602, err= -0.00010878 (at 3.25187499 0.18290754 -0.90960996)
iface= 1, ipnt= 494 (Z): anal= 0.53867516, fd= 0.53856573, err= 0.00010943 (at 3.12392310 0.18703138 0.91722761)
...too many errors to list
iface= 2, ipnt= 445 (Z): anal= -0.55492560, fd= -0.55482328, err= -0.00010232 (at 2.24843062 -0.22581273 -0.94904059)
iface= 2, ipnt= 453 (Z): anal= 0.55260919, fd= 0.55250809, err= 0.00010110 (at 2.19829010 -0.22863558 0.94978229)
iface= 2, ipnt= 458 (Z): anal= 0.55995618, fd= 0.55984929, err= 0.00010689 (at 2.49972597 -0.21264632 0.94355627)
iface= 2, ipnt= 461 (Z): anal= -0.55994996, fd= -0.55984316, err= -0.00010680 (at 2.49313103 -0.21297075 -0.94373810)
iface= 2, ipnt= 465 (Z): anal= -0.55723653, fd= -0.55712757, err= -0.00010896 (at 2.70849015 -0.20296618 -0.93674504)
iface= 2, ipnt= 466 (Z): anal= 0.55377046, fd= 0.55366094, err= 0.00010952 (at 2.81970601 -0.19827315 0.93228823)
iface= 2, ipnt= 471 (Z): anal= -0.54967695, fd= -0.54956721, err= -0.00010974 (at 2.91909150 -0.19434833 -0.92782647)
iface= 2, ipnt= 484 (Z): anal= 0.54176942, fd= 0.54165983, err= 0.00010960 (at 3.07197329 -0.18879516 0.92009612)
iface= 2, ipnt= 486 (Z): anal= 0.52359207, fd= 0.52348395, err= 0.00010812 (at 3.34351998 -0.18011652 0.90364662)
iface= 2, ipnt= 494 (Z): anal= -0.53867516, fd= -0.53856573, err= -0.00010943 (at 3.12392310 -0.18703138 -0.91722761)
...too many errors to list
d(Face)/d(width) check complete with 126 total errors (errmax= 4.9788e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 3.8171e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[5,1]" for ibody=12
d(Face)/d(width) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "Rnose" for ibody=12
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "Rtail" for ibody=12
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 2.6178e-07)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 2.3919e-07)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xbase" for ibody=12
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.2016e-09)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 1.0020e-09)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "ybase" for ibody=12
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 6.6613e-16)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "zbase" for ibody=12
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.7415e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0417e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.634 sec
Sensitivity checks complete with 384 total errors (max config err= 8.4567e-04) with 0 suppressions
real 0m6.661s
user 0m6.884s
sys 0m0.020s
++++ set +x
data/basic/designF1sr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 108 / 180 )
data/basic/designF1ss.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF1ss.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.6687e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.8721e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.5307e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.5608e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 7.4899e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 6.3419e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.9673e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 4.3178e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=12
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.1259e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.4403e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[1,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 8.4192e-10)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[2,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 4.2623e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 2.0199e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[3,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.0177e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 3.1371e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[4,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 1.5627e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 8.0320e-07)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "height[5,1]" for ibody=12
d(Face)/d(height) check complete with 0 total errors (errmax= 8.4192e-10)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[1,1]" for ibody=12
d(Face)/d(width) check complete with 0 total errors (errmax= 8.4192e-10)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[2,1]" for ibody=12
iface= 1, ipnt= 335 (Z): anal= 0.73273722, fd= 0.73258484, err= 0.00015238 (at -2.45134794 0.41626844 0.57331815)
iface= 1, ipnt= 338 (Z): anal= -0.62097327, fd= -0.62084231, err= -0.00013096 (at -2.11973255 0.42813729 -0.64258240)
iface= 1, ipnt= 352 (Z): anal= -0.80147410, fd= -0.80130970, err= -0.00016440 (at -2.71095032 0.40263631 -0.51954077)
iface= 1, ipnt= 356 (Z): anal= 0.85425282, fd= 0.85408164, err= 0.00017119 (at -3.03987806 0.37950982 0.45427398)
iface= 1, ipnt= 366 (Z): anal= 0.60783044, fd= 0.60770208, err= 0.00012836 (at -2.08413367 0.42905820 0.64995163)
iface= 1, ipnt= 369 (Z): anal= -0.85931285, fd= -0.85914172, err= -0.00017113 (at -3.11012379 0.37369005 -0.44097546)
iface= 1, ipnt= 383 (Z): anal= 0.85979905, fd= 0.85963192, err= 0.00016713 (at -3.34369472 0.35223183 0.39843020)
iface= 1, ipnt= 403 (Z): anal= 0.80932534, fd= 0.80917641, err= 0.00014893 (at -3.73897074 0.30939769 0.33160335)
iface= 1, ipnt= 445 (Z): anal= -0.74160709, fd= -0.74147745, err= -0.00012964 (at -4.01688326 0.27524498 -0.28781713)
iface= 1, ipnt= 447 (Z): anal= -0.72189135, fd= -0.72174097, err= -0.00015037 (at -2.41587815 0.41782866 -0.58073586)
...too many errors to list
iface= 2, ipnt= 334 (Z): anal= -0.73273722, fd= -0.73258484, err= -0.00015238 (at -2.45134794 -0.41626844 -0.57331815)
iface= 2, ipnt= 335 (Z): anal= 0.62097327, fd= 0.62084231, err= 0.00013096 (at -2.11973255 -0.42813729 0.64258240)
iface= 2, ipnt= 352 (Z): anal= 0.80147410, fd= 0.80130970, err= 0.00016440 (at -2.71095032 -0.40263631 0.51954077)
iface= 2, ipnt= 354 (Z): anal= -0.81164274, fd= -0.81147672, err= -0.00016601 (at -2.75804716 -0.39973536 -0.50994527)
iface= 2, ipnt= 356 (Z): anal= -0.85425282, fd= -0.85408164, err= -0.00017119 (at -3.03987806 -0.37950982 -0.45427398)
iface= 2, ipnt= 366 (Z): anal= -0.60783044, fd= -0.60770208, err= -0.00012836 (at -2.08413367 -0.42905820 -0.64995163)
iface= 2, ipnt= 368 (Z): anal= 0.85931285, fd= 0.85914172, err= 0.00017113 (at -3.11012379 -0.37369005 0.44097546)
iface= 2, ipnt= 377 (Z): anal= -0.85979905, fd= -0.85963192, err= -0.00016713 (at -3.34369472 -0.35223183 -0.39843020)
iface= 2, ipnt= 386 (Z): anal= -0.80932534, fd= -0.80917641, err= -0.00014893 (at -3.73897074 -0.30939769 -0.33160335)
iface= 2, ipnt= 443 (Z): anal= 0.74160709, fd= 0.74147745, err= 0.00012964 (at -4.01688326 -0.27524498 0.28781713)
...too many errors to list
d(Face)/d(width) check complete with 109 total errors (errmax= 6.5200e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.6564e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[3,1]" for ibody=12
iface= 1, ipnt= 337 (Z): anal= 0.75555182, fd= 0.75534475, err= 0.00020708 (at -1.11977683 0.43032532 0.82866588)
iface= 1, ipnt= 338 (Z): anal= -0.35012278, fd= -0.35001965, err= -0.00010313 (at -2.11973255 0.42813729 -0.64258240)
iface= 1, ipnt= 340 (Z): anal= 0.85609005, fd= 0.85588565, err= 0.00020440 (at -0.38059299 0.40405268 0.91111525)
iface= 1, ipnt= 343 (Z): anal= 0.53160738, fd= 0.53145411, err= 0.00015327 (at -1.71565790 0.43477606 0.72410062)
iface= 1, ipnt= 344 (Z): anal= -0.53160738, fd= -0.53145411, err= -0.00015327 (at -1.71565790 0.43477606 -0.72410062)
iface= 1, ipnt= 345 (Z): anal= -0.85861308, fd= -0.85840120, err= -0.00021189 (at -0.49971021 0.40970067 -0.90249769)
iface= 1, ipnt= 350 (Z): anal= 0.66844843, fd= 0.66834517, err= 0.00010326 (at 0.38060070 0.35876683 0.93049606)
iface= 1, ipnt= 360 (Z): anal= -0.83405576, fd= -0.83386997, err= -0.00018579 (at -0.19016841 0.39397540 -0.92045812)
iface= 1, ipnt= 363 (Z): anal= 0.78824558, fd= 0.78808710, err= 0.00015848 (at 0.00000379 0.38267578 0.92386559)
iface= 1, ipnt= 366 (Z): anal= 0.36631531, fd= 0.36620758, err= 0.00010773 (at -2.08413367 0.42905820 0.64995163)
...too many errors to list
iface= 2, ipnt= 335 (Z): anal= 0.35012278, fd= 0.35001965, err= 0.00010313 (at -2.11973255 -0.42813729 0.64258240)
iface= 2, ipnt= 337 (Z): anal= -0.75555182, fd= -0.75534475, err= -0.00020708 (at -1.11977683 -0.43032532 -0.82866588)
iface= 2, ipnt= 338 (Z): anal= 0.53160738, fd= 0.53145411, err= 0.00015327 (at -1.71565790 -0.43477606 0.72410062)
iface= 2, ipnt= 340 (Z): anal= -0.85609005, fd= -0.85588565, err= -0.00020440 (at -0.38059299 -0.40405268 -0.91111525)
iface= 2, ipnt= 343 (Z): anal= -0.53160738, fd= -0.53145411, err= -0.00015327 (at -1.71565790 -0.43477606 -0.72410062)
iface= 2, ipnt= 345 (Z): anal= 0.85861308, fd= 0.85840120, err= 0.00021189 (at -0.49971021 -0.40970067 0.90249769)
iface= 2, ipnt= 363 (Z): anal= 0.66844843, fd= 0.66834517, err= 0.00010326 (at 0.38060070 -0.35876683 0.93049606)
iface= 2, ipnt= 366 (Z): anal= -0.36631531, fd= -0.36620758, err= -0.00010773 (at -2.08413367 -0.42905820 -0.64995163)
iface= 2, ipnt= 370 (Z): anal= -0.66844843, fd= -0.66834517, err= -0.00010326 (at 0.38060070 -0.35876683 -0.93049606)
iface= 2, ipnt= 371 (Z): anal= 0.81422557, fd= 0.81405232, err= 0.00017326 (at -0.09504706 -0.38847423 0.92293695)
...too many errors to list
d(Face)/d(width) check complete with 160 total errors (errmax= 8.9304e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.4874e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[4,1]" for ibody=12
iface= 1, ipnt= 450 (Z): anal= -0.53410681, fd= -0.53400588, err= -0.00010092 (at 2.17904582 0.24402927 -0.98836569)
iface= 1, ipnt= 452 (Z): anal= 0.54108966, fd= 0.54098619, err= 0.00010348 (at 2.26201126 0.23870168 0.98637166)
iface= 1, ipnt= 462 (Z): anal= -0.55189140, fd= -0.55178321, err= -0.00010820 (at 2.47499483 0.22502430 -0.97717774)
iface= 1, ipnt= 466 (Z): anal= 0.55109607, fd= 0.55098595, err= 0.00011012 (at 2.73451201 0.20836425 0.95685869)
iface= 1, ipnt= 470 (Z): anal= 0.55319306, fd= 0.55308391, err= 0.00010915 (at 2.54586464 0.22047372 0.97268989)
iface= 1, ipnt= 482 (Z): anal= 0.53930061, fd= 0.53919218, err= 0.00010842 (at 2.94609227 0.19479324 0.93166247)
iface= 1, ipnt= 483 (Z): anal= -0.54574949, fd= -0.54563995, err= -0.00010954 (at 2.85214632 0.20081731 -0.94388312)
iface= 1, ipnt= 521 (Z): anal= -0.52624267, fd= -0.52613698, err= -0.00010569 (at 3.08672661 0.18578173 -0.91008972)
iface= 1, ipnt= 525 (Z): anal= 0.52113015, fd= 0.52102562, err= 0.00010453 (at 3.13352910 0.18278450 0.90203738)
iface= 1, ipnt= 537 (Z): anal= -0.50992666, fd= -0.50982477, err= -0.00010189 (at 3.22702581 0.17679951 -0.88469941)
...too many errors to list
iface= 2, ipnt= 448 (Z): anal= 0.54108966, fd= 0.54098619, err= 0.00010348 (at 2.26201126 -0.23870168 0.98637166)
iface= 2, ipnt= 450 (Z): anal= -0.54108966, fd= -0.54098619, err= -0.00010348 (at 2.26201126 -0.23870168 -0.98637166)
iface= 2, ipnt= 465 (Z): anal= 0.55109607, fd= 0.55098595, err= 0.00011012 (at 2.73451201 -0.20836425 0.95685869)
iface= 2, ipnt= 467 (Z): anal= -0.55109607, fd= -0.55098595, err= -0.00011012 (at 2.73451201 -0.20836425 -0.95685869)
iface= 2, ipnt= 472 (Z): anal= 0.55319306, fd= 0.55308391, err= 0.00010915 (at 2.54586464 -0.22047372 0.97268989)
iface= 2, ipnt= 473 (Z): anal= -0.55319306, fd= -0.55308391, err= -0.00010915 (at 2.54586464 -0.22047372 -0.97268989)
iface= 2, ipnt= 481 (Z): anal= 0.53930061, fd= 0.53919218, err= 0.00010842 (at 2.94609227 -0.19479324 0.93166247)
iface= 2, ipnt= 482 (Z): anal= -0.53930061, fd= -0.53919218, err= -0.00010842 (at 2.94609227 -0.19479324 -0.93166247)
iface= 2, ipnt= 525 (Z): anal= 0.52113015, fd= 0.52102562, err= 0.00010453 (at 3.13352910 -0.18278450 0.90203738)
iface= 2, ipnt= 533 (Z): anal= -0.52113015, fd= -0.52102562, err= -0.00010453 (at 3.13352910 -0.18278450 -0.90203738)
...too many errors to list
d(Face)/d(width) check complete with 185 total errors (errmax= 5.2423e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 3.6791e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "width[5,1]" for ibody=12
d(Face)/d(width) check complete with 0 total errors (errmax= 8.4192e-10)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "Rnose" for ibody=12
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 8.4192e-10)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "Rtail" for ibody=12
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 8.4192e-10)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "xbase" for ibody=12
d(Face)/d(xbase) check complete with 0 total errors (errmax= 9.6368e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.4834e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "ybase" for ibody=12
d(Face)/d(ybase) check complete with 0 total errors (errmax= 8.6133e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 4.4409e-16)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "zbase" for ibody=12
d(Face)/d(zbase) check complete with 0 total errors (errmax= 8.4471e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.0428e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.609 sec
Sensitivity checks complete with 454 total errors (max config err= 8.9304e-04) with 0 suppressions
real 0m6.195s
user 0m6.380s
sys 0m0.012s
++++ set +x
data/basic/designF1ss -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 109 / 180 )
data/basic/designF2bb.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF2bb.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=8
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.4992e-10)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=8
d(Face)/d(xloc) check complete with 0 total errors (errmax= 1.4036e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 1.4020e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=8
d(Face)/d(xloc) check complete with 0 total errors (errmax= 2.4268e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.4193e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=8
d(Face)/d(xloc) check complete with 0 total errors (errmax= 1.4074e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 6.9124e-09)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=8
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.4992e-10)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "height[1,1]" for ibody=8
d(Face)/d(height) check complete with 0 total errors (errmax= 4.4992e-10)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "height[2,1]" for ibody=8
d(Face)/d(height) check complete with 0 total errors (errmax= 4.2381e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 4.0771e-07)
d(Node)/d(height) check complete with 0 total errors (errmax= 2.5447e-26)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "height[3,1]" for ibody=8
d(Face)/d(height) check complete with 0 total errors (errmax= 8.0643e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 4.4945e-10)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "height[4,1]" for ibody=8
d(Face)/d(height) check complete with 0 total errors (errmax= 1.3867e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 1.4222e-06)
d(Node)/d(height) check complete with 0 total errors (errmax= 1.0606e-27)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "height[5,1]" for ibody=8
d(Face)/d(height) check complete with 0 total errors (errmax= 4.4992e-10)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "width[1,1]" for ibody=8
d(Face)/d(width) check complete with 0 total errors (errmax= 4.4992e-10)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "width[2,1]" for ibody=8
iface= 1, ipnt= 212 (Z): anal= -0.09698423, fd= -0.09708433, err= 0.00010011 (at -0.46875023 0.10075110 -0.94493213)
iface= 1, ipnt= 213 (Z): anal= -0.12092939, fd= -0.12105351, err= 0.00012412 (at -0.56250023 0.10105947 -0.93246518)
iface= 1, ipnt= 214 (Z): anal= -0.14617181, fd= -0.14632091, err= 0.00014910 (at -0.65625022 0.10129882 -0.91929918)
iface= 1, ipnt= 215 (Z): anal= -0.17262186, fd= -0.17279674, err= 0.00017488 (at -0.75000021 0.10147363 -0.90548018)
iface= 1, ipnt= 216 (Z): anal= -0.20019221, fd= -0.20039353, err= 0.00020132 (at -0.84375021 0.10158843 -0.89105419)
iface= 1, ipnt= 217 (Z): anal= -0.22879784, fd= -0.22902612, err= 0.00022828 (at -0.93750020 0.10164770 -0.87606723)
iface= 1, ipnt= 218 (Z): anal= -0.25835599, fd= -0.25861159, err= 0.00025559 (at -1.03125019 0.10165596 -0.86056534)
iface= 1, ipnt= 219 (Z): anal= -0.28878606, fd= -0.28906920, err= 0.00028314 (at -1.12500019 0.10161769 -0.84459454)
iface= 1, ipnt= 220 (Z): anal= -0.32000947, fd= -0.32032024, err= 0.00031077 (at -1.21875018 0.10153741 -0.82820085)
iface= 1, ipnt= 221 (Z): anal= -0.35194949, fd= -0.35228783, err= 0.00033834 (at -1.31250017 0.10141961 -0.81143030)
...too many errors to list
iface= 2, ipnt= 212 (Z): anal= 0.09698423, fd= 0.09708433, err= -0.00010011 (at -0.46875023 -0.10075110 0.94493213)
iface= 2, ipnt= 213 (Z): anal= 0.12092939, fd= 0.12105351, err= -0.00012412 (at -0.56250023 -0.10105947 0.93246518)
iface= 2, ipnt= 214 (Z): anal= 0.14617181, fd= 0.14632091, err= -0.00014910 (at -0.65625022 -0.10129882 0.91929918)
iface= 2, ipnt= 215 (Z): anal= 0.17262186, fd= 0.17279674, err= -0.00017488 (at -0.75000021 -0.10147363 0.90548018)
iface= 2, ipnt= 216 (Z): anal= 0.20019221, fd= 0.20039353, err= -0.00020132 (at -0.84375021 -0.10158843 0.89105419)
iface= 2, ipnt= 217 (Z): anal= 0.22879784, fd= 0.22902612, err= -0.00022828 (at -0.93750020 -0.10164770 0.87606723)
iface= 2, ipnt= 218 (Z): anal= 0.25835599, fd= 0.25861159, err= -0.00025559 (at -1.03125019 -0.10165596 0.86056534)
iface= 2, ipnt= 219 (Z): anal= 0.28878606, fd= 0.28906920, err= -0.00028314 (at -1.12500019 -0.10161769 0.84459454)
iface= 2, ipnt= 220 (Z): anal= 0.32000947, fd= 0.32032024, err= -0.00031077 (at -1.21875018 -0.10153741 0.82820085)
iface= 2, ipnt= 221 (Z): anal= 0.35194949, fd= 0.35228783, err= -0.00033834 (at -1.31250017 -0.10141961 0.81143030)
...too many errors to list
d(Face)/d(width) check complete with 300 total errors (errmax= 6.6603e-04)
iedge= 2, ipnt= 1 (Z): anal= -0.99206933, fd= -0.99275612, err= 0.00068678 (at -3.00000000 0.09801627 -0.49758527)
iedge= 2, ipnt= 2 (Z): anal= -0.97075046, fd= -0.97118140, err= 0.00043094 (at -3.00000000 0.19509030 -0.49038610)
iedge= 2, ipnt= 4 (Z): anal= -0.88602223, fd= -0.88584408, err= -0.00017815 (at -3.00000000 0.38267602 -0.46193279)
iedge= 2, ipnt= 20 (Z): anal= 0.88602223, fd= 0.88584408, err= 0.00017815 (at -3.00000000 0.38267602 0.46193279)
iedge= 2, ipnt= 22 (Z): anal= 0.97075046, fd= 0.97118140, err= -0.00043094 (at -3.00000000 0.19509030 0.49038610)
iedge= 2, ipnt= 23 (Z): anal= 0.99206933, fd= 0.99275612, err= -0.00068678 (at -3.00000000 0.09801627 0.49758527)
iedge= 5, ipnt= 1 (Z): anal= 0.99206933, fd= 0.99275612, err= -0.00068678 (at -3.00000000 -0.09801627 0.49758527)
iedge= 5, ipnt= 2 (Z): anal= 0.97075046, fd= 0.97118140, err= -0.00043094 (at -3.00000000 -0.19509030 0.49038610)
iedge= 5, ipnt= 4 (Z): anal= 0.88602223, fd= 0.88584408, err= 0.00017815 (at -3.00000000 -0.38267602 0.46193279)
iedge= 5, ipnt= 20 (Z): anal= -0.88602223, fd= -0.88584408, err= -0.00017815 (at -3.00000000 -0.38267602 -0.46193279)
iedge= 5, ipnt= 22 (Z): anal= -0.97075046, fd= -0.97118140, err= 0.00043094 (at -3.00000000 -0.19509030 -0.49038610)
iedge= 5, ipnt= 23 (Z): anal= -0.99206933, fd= -0.99275612, err= 0.00068678 (at -3.00000000 -0.09801627 -0.49758527)
d(Edge)/d(width) check complete with 12 total errors (errmax= 6.8678e-04)
d(Node)/d(width) check complete with 0 total errors (errmax= 2.8756e-11)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "width[3,1]" for ibody=8
iface= 1, ipnt= 183 (Z): anal= -0.28656430, fd= -0.28666921, err= 0.00010491 (at 2.24999993 0.06235908 -1.00687275)
iface= 1, ipnt= 184 (Z): anal= -0.32678322, fd= -0.32691282, err= 0.00012961 (at 2.15624992 0.06413278 -1.00936405)
iface= 1, ipnt= 185 (Z): anal= -0.36737816, fd= -0.36753423, err= 0.00015607 (at 2.06249991 0.06591466 -1.01193153)
iface= 1, ipnt= 186 (Z): anal= -0.40816977, fd= -0.40835384, err= 0.00018407 (at 1.96874990 0.06770021 -1.01452948)
iface= 1, ipnt= 187 (Z): anal= -0.44897850, fd= -0.44919185, err= 0.00021335 (at 1.87499989 0.06948488 -1.01711220)
iface= 1, ipnt= 188 (Z): anal= -0.48962428, fd= -0.48986794, err= 0.00024366 (at 1.78124988 0.07126415 -1.01963397)
iface= 1, ipnt= 189 (Z): anal= -0.52992615, fd= -0.53020091, err= 0.00027476 (at 1.68749987 0.07303349 -1.02204907)
iface= 1, ipnt= 190 (Z): anal= -0.56970192, fd= -0.57000832, err= 0.00030640 (at 1.59374986 0.07478835 -1.02431181)
iface= 1, ipnt= 191 (Z): anal= -0.60876780, fd= -0.60910613, err= 0.00033833 (at 1.49999985 0.07652422 -1.02637646)
iface= 1, ipnt= 192 (Z): anal= -0.64693809, fd= -0.64730840, err= 0.00037030 (at 1.40624984 0.07823655 -1.02819731)
...too many errors to list
iface= 2, ipnt= 183 (Z): anal= 0.28656430, fd= 0.28666921, err= -0.00010491 (at 2.24999993 -0.06235908 1.00687275)
iface= 2, ipnt= 184 (Z): anal= 0.32678322, fd= 0.32691282, err= -0.00012961 (at 2.15624992 -0.06413278 1.00936405)
iface= 2, ipnt= 185 (Z): anal= 0.36737816, fd= 0.36753423, err= -0.00015607 (at 2.06249991 -0.06591466 1.01193153)
iface= 2, ipnt= 186 (Z): anal= 0.40816977, fd= 0.40835384, err= -0.00018407 (at 1.96874990 -0.06770021 1.01452948)
iface= 2, ipnt= 187 (Z): anal= 0.44897850, fd= 0.44919185, err= -0.00021335 (at 1.87499989 -0.06948488 1.01711220)
iface= 2, ipnt= 188 (Z): anal= 0.48962428, fd= 0.48986794, err= -0.00024366 (at 1.78124988 -0.07126415 1.01963397)
iface= 2, ipnt= 189 (Z): anal= 0.52992615, fd= 0.53020091, err= -0.00027476 (at 1.68749987 -0.07303349 1.02204907)
iface= 2, ipnt= 190 (Z): anal= 0.56970192, fd= 0.57000832, err= -0.00030640 (at 1.59374986 -0.07478835 1.02431181)
iface= 2, ipnt= 191 (Z): anal= 0.60876780, fd= 0.60910613, err= -0.00033833 (at 1.49999985 -0.07652422 1.02637646)
iface= 2, ipnt= 192 (Z): anal= 0.64693809, fd= 0.64730840, err= -0.00037030 (at 1.40624984 -0.07823655 1.02819731)
...too many errors to list
d(Face)/d(width) check complete with 444 total errors (errmax= 6.7727e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 5.3675e-09)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "width[4,1]" for ibody=8
iface= 1, ipnt= 176 (Y): anal= 0.17768085, fd= 0.17780759, err= -0.00012674 (at 2.90624999 0.05055317 -0.99540671)
iface= 1, ipnt= 176 (Z): anal= -0.92907350, fd= -0.92973619, err= 0.00066269 (at 2.90624999 0.05055317 -0.99540671)
iface= 1, ipnt= 177 (Y): anal= 0.16691103, fd= 0.16703343, err= -0.00012240 (at 2.81249998 0.05214265 -0.99608477)
iface= 1, ipnt= 177 (Z): anal= -0.89974269, fd= -0.90040249, err= 0.00065980 (at 2.81249998 0.05214265 -0.99608477)
iface= 1, ipnt= 178 (Y): anal= 0.15652874, fd= 0.15664652, err= -0.00011778 (at 2.71874998 0.05377205 -0.99715900)
iface= 1, ipnt= 178 (Z): anal= -0.86935244, fd= -0.87000661, err= 0.00065416 (at 2.71874998 0.05377205 -0.99715900)
iface= 1, ipnt= 179 (Y): anal= 0.14654134, fd= 0.14665428, err= -0.00011295 (at 2.62499997 0.05543682 -0.99858368)
iface= 1, ipnt= 179 (Z): anal= -0.83802160, fd= -0.83866752, err= 0.00064592 (at 2.62499997 0.05543682 -0.99858368)
iface= 1, ipnt= 180 (Y): anal= 0.13695101, fd= 0.13705896, err= -0.00010795 (at 2.53124996 0.05713244 -1.00031311)
iface= 1, ipnt= 180 (Z): anal= -0.80586672, fd= -0.80650196, err= 0.00063524 (at 2.53124996 0.05713244 -1.00031311)
...too many errors to list
iface= 2, ipnt= 176 (Y): anal= -0.17768085, fd= -0.17780759, err= 0.00012674 (at 2.90624999 -0.05055317 0.99540671)
iface= 2, ipnt= 176 (Z): anal= 0.92907350, fd= 0.92973619, err= -0.00066269 (at 2.90624999 -0.05055317 0.99540671)
iface= 2, ipnt= 177 (Y): anal= -0.16691103, fd= -0.16703343, err= 0.00012240 (at 2.81249998 -0.05214265 0.99608477)
iface= 2, ipnt= 177 (Z): anal= 0.89974269, fd= 0.90040249, err= -0.00065980 (at 2.81249998 -0.05214265 0.99608477)
iface= 2, ipnt= 178 (Y): anal= -0.15652874, fd= -0.15664652, err= 0.00011778 (at 2.71874998 -0.05377205 0.99715900)
iface= 2, ipnt= 178 (Z): anal= 0.86935244, fd= 0.87000661, err= -0.00065416 (at 2.71874998 -0.05377205 0.99715900)
iface= 2, ipnt= 179 (Y): anal= -0.14654134, fd= -0.14665428, err= 0.00011295 (at 2.62499997 -0.05543682 0.99858368)
iface= 2, ipnt= 179 (Z): anal= 0.83802160, fd= 0.83866752, err= -0.00064592 (at 2.62499997 -0.05543682 0.99858368)
iface= 2, ipnt= 180 (Y): anal= -0.13695101, fd= -0.13705896, err= 0.00010795 (at 2.53124996 -0.05713244 1.00031311)
iface= 2, ipnt= 180 (Z): anal= 0.80586672, fd= 0.80650196, err= -0.00063524 (at 2.53124996 -0.05713244 1.00031311)
...too many errors to list
d(Face)/d(width) check complete with 312 total errors (errmax= 6.6269e-04)
iedge= 4, ipnt= 1 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at 3.00000000 0.04900814 -0.99517053)
iedge= 4, ipnt= 1 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at 3.00000000 0.04900814 -0.99517053)
iedge= 4, ipnt= 2 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at 3.00000000 0.09754515 -0.98077221)
iedge= 4, ipnt= 2 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at 3.00000000 0.09754515 -0.98077221)
iedge= 4, ipnt= 3 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at 3.00000000 0.19133801 -0.92386559)
iedge= 4, ipnt= 21 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at 3.00000000 0.19133801 0.92386559)
iedge= 4, ipnt= 22 (Y): anal= 0.33651307, fd= 0.33666245, err= -0.00014939 (at 3.00000000 0.09754515 0.98077221)
iedge= 4, ipnt= 22 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at 3.00000000 0.09754515 0.98077221)
iedge= 4, ipnt= 23 (Y): anal= 0.18882628, fd= 0.18895700, err= -0.00013072 (at 3.00000000 0.04900814 0.99517053)
iedge= 4, ipnt= 23 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at 3.00000000 0.04900814 0.99517053)
iedge= 6, ipnt= 1 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at 3.00000000 -0.04900814 0.99517053)
iedge= 6, ipnt= 1 (Z): anal= 0.95723374, fd= 0.95789641, err= -0.00066267 (at 3.00000000 -0.04900814 0.99517053)
iedge= 6, ipnt= 2 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at 3.00000000 -0.09754515 0.98077221)
iedge= 6, ipnt= 2 (Z): anal= 0.84657294, fd= 0.84694876, err= -0.00037581 (at 3.00000000 -0.09754515 0.98077221)
iedge= 6, ipnt= 3 (Z): anal= 0.54783290, fd= 0.54772275, err= 0.00011015 (at 3.00000000 -0.19133801 0.92386559)
iedge= 6, ipnt= 21 (Z): anal= -0.54783290, fd= -0.54772275, err= -0.00011015 (at 3.00000000 -0.19133801 -0.92386559)
iedge= 6, ipnt= 22 (Y): anal= -0.33651307, fd= -0.33666245, err= 0.00014939 (at 3.00000000 -0.09754515 -0.98077221)
iedge= 6, ipnt= 22 (Z): anal= -0.84657294, fd= -0.84694876, err= 0.00037581 (at 3.00000000 -0.09754515 -0.98077221)
iedge= 6, ipnt= 23 (Y): anal= -0.18882628, fd= -0.18895700, err= 0.00013072 (at 3.00000000 -0.04900814 -0.99517053)
iedge= 6, ipnt= 23 (Z): anal= -0.95723374, fd= -0.95789641, err= 0.00066267 (at 3.00000000 -0.04900814 -0.99517053)
d(Edge)/d(width) check complete with 20 total errors (errmax= 6.6267e-04)
d(Node)/d(width) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "width[5,1]" for ibody=8
d(Face)/d(width) check complete with 0 total errors (errmax= 4.4992e-10)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "Rnose" for ibody=8
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 4.4992e-10)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "Rtail" for ibody=8
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 4.4992e-10)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "xbase" for ibody=8
d(Face)/d(xbase) check complete with 0 total errors (errmax= 4.4736e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "ybase" for ibody=8
d(Face)/d(ybase) check complete with 0 total errors (errmax= 4.4980e-10)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 1.9329e-10)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "zbase" for ibody=8
d(Face)/d(zbase) check complete with 0 total errors (errmax= 5.2518e-10)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.6182e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.337 sec
Sensitivity checks complete with 1088 total errors (max config err= 6.8678e-04) with 0 suppressions
real 0m2.195s
user 0m2.236s
sys 0m0.004s
++++ set +x
data/basic/designF2bb -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 110 / 180 )
data/basic/designF2rr.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF2rr.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.9502e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.8518e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 5.1256e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.3779e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.0343e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.7021e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.4132e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 5.2605e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.2112e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.5438e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[1,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 2.7319e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[2,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 5.7948e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 1.8152e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[3,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 8.6562e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 3.7074e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[4,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.4749e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 2.1275e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[5,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 2.7319e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[1,1]" for ibody=10
d(Face)/d(width) check complete with 0 total errors (errmax= 2.7319e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[2,1]" for ibody=10
iface= 1, ipnt= 297 (Z): anal= -0.85604771, fd= -0.85587324, err= -0.00017447 (at -2.58642487 0.39265352 -0.50408076)
iface= 1, ipnt= 299 (Z): anal= 0.82774463, fd= 0.82757509, err= 0.00016953 (at -2.39387133 0.39687893 0.52768141)
iface= 1, ipnt= 301 (Z): anal= -0.71578671, fd= -0.71563883, err= -0.00014789 (at -1.92523841 0.40544994 -0.59503912)
iface= 1, ipnt= 304 (Z): anal= 0.48353495, fd= 0.48343440, err= 0.00010054 (at -1.28161075 0.41102337 0.70592541)
iface= 1, ipnt= 305 (Z): anal= 0.75843539, fd= 0.75827907, err= 0.00015632 (at -2.07747367 0.40298359 0.57169599)
iface= 1, ipnt= 312 (Z): anal= 0.62730098, fd= 0.62717094, err= 0.00013004 (at -1.65541552 0.40886353 0.63944744)
iface= 1, ipnt= 313 (Z): anal= -0.79604615, fd= -0.79588255, err= -0.00016360 (at -2.23360094 0.40011914 -0.54918762)
iface= 1, ipnt= 316 (Z): anal= -0.61008990, fd= -0.60996337, err= -0.00012653 (at -1.60755069 0.40932161 -0.64768209)
iface= 1, ipnt= 333 (Z): anal= 0.86748677, fd= 0.86731054, err= 0.00017623 (at -2.69929426 0.39003666 0.49141168)
iface= 1, ipnt= 334 (Z): anal= -0.87867844, fd= -0.87850132, err= -0.00017713 (at -2.93158020 0.38439286 -0.46809169)
...too many errors to list
iface= 2, ipnt= 299 (Z): anal= 0.85604771, fd= 0.85587324, err= 0.00017447 (at -2.58642487 -0.39265352 0.50408076)
iface= 2, ipnt= 301 (Z): anal= 0.71578671, fd= 0.71563883, err= 0.00014789 (at -1.92523841 -0.40544994 0.59503912)
iface= 2, ipnt= 303 (Z): anal= -0.82774463, fd= -0.82757509, err= -0.00016953 (at -2.39387133 -0.39687893 -0.52768141)
iface= 2, ipnt= 306 (Z): anal= -0.48353495, fd= -0.48343440, err= -0.00010054 (at -1.28161075 -0.41102337 -0.70592541)
iface= 2, ipnt= 312 (Z): anal= -0.62730098, fd= -0.62717094, err= -0.00013004 (at -1.65541552 -0.40886353 -0.63944744)
iface= 2, ipnt= 313 (Z): anal= 0.79604615, fd= 0.79588255, err= 0.00016360 (at -2.23360094 -0.40011914 0.54918762)
iface= 2, ipnt= 316 (Z): anal= 0.61008990, fd= 0.60996337, err= 0.00012653 (at -1.60755069 -0.40932161 0.64768209)
iface= 2, ipnt= 320 (Z): anal= -0.75843539, fd= -0.75827907, err= -0.00015632 (at -2.07747367 -0.40298359 -0.57169599)
iface= 2, ipnt= 334 (Z): anal= -0.86748677, fd= -0.86731054, err= -0.00017623 (at -2.69929426 -0.39003666 -0.49141168)
iface= 2, ipnt= 335 (Z): anal= 0.87867844, fd= 0.87850132, err= 0.00017713 (at -2.93158020 -0.38439286 0.46809169)
...too many errors to list
d(Face)/d(width) check complete with 137 total errors (errmax= 6.1585e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.3826e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[3,1]" for ibody=10
iface= 1, ipnt= 296 (Z): anal= 0.62552250, fd= 0.62539666, err= 0.00012584 (at -0.99126120 0.41007024 0.75963527)
iface= 1, ipnt= 304 (Z): anal= 0.52734520, fd= 0.52723901, err= 0.00010619 (at -1.28161075 0.41102337 0.70592541)
iface= 1, ipnt= 308 (Z): anal= -0.55127177, fd= -0.55116078, err= -0.00011098 (at -1.21365378 0.41102873 -0.71841777)
iface= 1, ipnt= 309 (Z): anal= -0.75898226, fd= -0.75882959, err= -0.00015267 (at 0.18610942 0.37260094 -0.94558494)
iface= 1, ipnt= 314 (Z): anal= -0.69465360, fd= -0.69451393, err= -0.00013967 (at -0.75289513 0.40718549 -0.80350565)
iface= 1, ipnt= 315 (Z): anal= 0.72069590, fd= 0.72055102, err= 0.00014488 (at -0.64631388 0.40520451 0.82266938)
iface= 1, ipnt= 317 (Z): anal= -0.78499672, fd= -0.78483892, err= -0.00015780 (at -0.14470246 0.38938939 -0.90429666)
iface= 1, ipnt= 321 (Z): anal= 0.71461181, fd= 0.71446799, err= 0.00014382 (at 0.39392480 0.35971662 0.96522544)
iface= 1, ipnt= 322 (Z): anal= 0.78336497, fd= 0.78320747, err= 0.00015750 (at -0.04132377 0.38469581 0.91850755)
iface= 1, ipnt= 345 (Z): anal= 0.58898245, fd= 0.58886378, err= 0.00011867 (at 0.79582000 0.33141316 0.99011505)
...too many errors to list
iface= 2, ipnt= 298 (Z): anal= -0.62552250, fd= -0.62539666, err= -0.00012584 (at -0.99126120 -0.41007024 -0.75963527)
iface= 2, ipnt= 306 (Z): anal= -0.52734520, fd= -0.52723901, err= -0.00010619 (at -1.28161075 -0.41102337 -0.70592541)
iface= 2, ipnt= 308 (Z): anal= 0.55127177, fd= 0.55116078, err= 0.00011098 (at -1.21365378 -0.41102873 0.71841777)
iface= 2, ipnt= 309 (Z): anal= 0.75898226, fd= 0.75882959, err= 0.00015267 (at 0.18610942 -0.37260094 0.94558494)
iface= 2, ipnt= 314 (Z): anal= 0.69465360, fd= 0.69451393, err= 0.00013967 (at -0.75289513 -0.40718549 0.80350565)
iface= 2, ipnt= 315 (Z): anal= -0.72069590, fd= -0.72055102, err= -0.00014488 (at -0.64631388 -0.40520451 -0.82266938)
iface= 2, ipnt= 317 (Z): anal= 0.78499672, fd= 0.78483892, err= 0.00015780 (at -0.14470246 -0.38938939 0.90429666)
iface= 2, ipnt= 324 (Z): anal= -0.78513046, fd= -0.78497263, err= -0.00015783 (at -0.12401510 -0.38849098 -0.90722885)
iface= 2, ipnt= 333 (Z): anal= -0.71461181, fd= -0.71446799, err= -0.00014382 (at 0.39392480 -0.35971662 -0.96522544)
iface= 2, ipnt= 350 (Z): anal= 0.66050949, fd= 0.66037649, err= 0.00013300 (at 0.58281402 -0.34684619 0.97899625)
...too many errors to list
d(Face)/d(width) check complete with 117 total errors (errmax= 6.3370e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.0107e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[4,1]" for ibody=10
iface= 1, ipnt= 427 (Z): anal= -0.52473100, fd= -0.52462667, err= -0.00010433 (at 2.05184794 0.24045913 -0.98129758)
iface= 1, ipnt= 435 (Z): anal= -0.54950232, fd= -0.54939260, err= -0.00010973 (at 2.55854692 0.21132557 -0.95385042)
iface= 1, ipnt= 439 (Z): anal= 0.52236920, fd= 0.52226536, err= 0.00010385 (at 2.02631880 0.24208840 0.98242143)
iface= 1, ipnt= 456 (Z): anal= -0.54359278, fd= -0.54348448, err= -0.00010829 (at 2.33998277 0.22311592 -0.96678821)
iface= 1, ipnt= 481 (Z): anal= -0.54953076, fd= -0.54942071, err= -0.00011006 (at 2.77093973 0.20106003 -0.93998485)
iface= 1, ipnt= 482 (Z): anal= 0.53122551, fd= 0.53111805, err= 0.00010746 (at 3.28091013 0.18120220 0.90255232)
iface= 1, ipnt= 486 (Z): anal= -0.54297069, fd= -0.54286143, err= -0.00010926 (at 3.03608044 0.18993490 -0.92123169)
iface= 1, ipnt= 487 (Z): anal= 0.54953076, fd= 0.54942071, err= 0.00011006 (at 2.77093973 0.20106003 0.93998485)
iface= 1, ipnt= 497 (Z): anal= -0.53122551, fd= -0.53111805, err= -0.00010746 (at 3.28091013 0.18120220 -0.90255232)
iface= 1, ipnt= 519 (Z): anal= 0.51670938, fd= 0.51660430, err= 0.00010507 (at 3.50013304 0.17427677 0.88425024)
...too many errors to list
iface= 2, ipnt= 423 (Z): anal= -0.52473100, fd= -0.52462667, err= -0.00010433 (at 2.05184794 -0.24045913 -0.98129758)
iface= 2, ipnt= 431 (Z): anal= -0.54950232, fd= -0.54939260, err= -0.00010973 (at 2.55854692 -0.21132557 -0.95385042)
iface= 2, ipnt= 435 (Z): anal= 0.52236920, fd= 0.52226536, err= 0.00010385 (at 2.02631880 -0.24208840 0.98242143)
iface= 2, ipnt= 454 (Z): anal= -0.54359278, fd= -0.54348448, err= -0.00010829 (at 2.33998277 -0.22311592 -0.96678821)
iface= 2, ipnt= 482 (Z): anal= 0.54953076, fd= 0.54942071, err= 0.00011006 (at 2.77093973 -0.20106003 0.93998485)
iface= 2, ipnt= 483 (Z): anal= -0.54953076, fd= -0.54942071, err= -0.00011006 (at 2.77093973 -0.20106003 -0.93998485)
iface= 2, ipnt= 486 (Z): anal= -0.54297069, fd= -0.54286143, err= -0.00010926 (at 3.03608044 -0.18993490 -0.92123169)
iface= 2, ipnt= 490 (Z): anal= 0.53122551, fd= 0.53111805, err= 0.00010746 (at 3.28091013 -0.18120220 0.90255232)
iface= 2, ipnt= 498 (Z): anal= -0.53298321, fd= -0.53287547, err= -0.00010774 (at 3.24991894 -0.18224113 -0.90500716)
iface= 2, ipnt= 548 (Z): anal= -0.51122756, fd= -0.51112341, err= -0.00010415 (at 3.57123960 -0.17216090 -0.87791147)
...too many errors to list
d(Face)/d(width) check complete with 152 total errors (errmax= 4.9189e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 3.5679e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[5,1]" for ibody=10
d(Face)/d(width) check complete with 0 total errors (errmax= 2.7319e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "Rnose" for ibody=10
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 7.0602e-07)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 7.3720e-07)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "Rtail" for ibody=10
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 2.6161e-07)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 2.4041e-07)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xbase" for ibody=10
d(Face)/d(xbase) check complete with 0 total errors (errmax= 2.0026e-09)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 1.0024e-09)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ybase" for ibody=10
d(Face)/d(ybase) check complete with 0 total errors (errmax= 2.7318e-09)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 4.4409e-16)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zbase" for ibody=10
d(Face)/d(zbase) check complete with 0 total errors (errmax= 2.7311e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.6167e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.446 sec
Sensitivity checks complete with 406 total errors (max config err= 6.3370e-04) with 0 suppressions
real 0m5.712s
user 0m5.836s
sys 0m0.000s
++++ set +x
data/basic/designF2rr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 111 / 180 )
data/basic/designF2rs.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF2rs.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.7748e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.7458e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.8882e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.1688e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.7809e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.8376e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.1158e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 4.6933e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.2357e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.6085e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[1,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.3235e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[2,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 5.7646e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 1.6207e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[3,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 8.9231e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 3.6908e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[4,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.3870e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 1.9279e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[5,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.3235e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[1,1]" for ibody=10
d(Face)/d(width) check complete with 0 total errors (errmax= 1.3235e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[2,1]" for ibody=10
iface= 1, ipnt= 316 (Z): anal= 0.58380778, fd= 0.58368663, err= 0.00012115 (at -1.56585672 0.40744134 0.64950583)
iface= 1, ipnt= 320 (Z): anal= -0.77856235, fd= -0.77840208, err= -0.00016027 (at -2.17130141 0.40016689 -0.55439277)
iface= 1, ipnt= 321 (Z): anal= 0.77856235, fd= 0.77840208, err= 0.00016027 (at -2.17130141 0.40016689 0.55439277)
iface= 1, ipnt= 327 (Z): anal= -0.57488620, fd= -0.57476688, err= -0.00011932 (at -1.54271662 0.40758047 -0.65351376)
iface= 1, ipnt= 328 (Z): anal= -0.78389065, fd= -0.78373906, err= -0.00015159 (at -3.79453534 0.35984902 -0.40930451)
iface= 1, ipnt= 337 (Z): anal= 0.84588938, fd= 0.84571657, err= 0.00017281 (at -2.51181460 0.39372589 0.51078067)
iface= 1, ipnt= 338 (Z): anal= -0.84588938, fd= -0.84571657, err= -0.00017281 (at -2.51181460 0.39372589 -0.51078067)
iface= 1, ipnt= 340 (Z): anal= 0.85644285, fd= 0.85627332, err= 0.00016952 (at -3.35476494 0.37358379 0.43575694)
iface= 1, ipnt= 344 (Z): anal= 0.87948393, fd= 0.87930703, err= 0.00017690 (at -2.99119400 0.38288893 0.46267121)
iface= 1, ipnt= 353 (Z): anal= -0.87949044, fd= -0.87931324, err= -0.00017720 (at -2.94716254 0.38394739 -0.46644127)
...too many errors to list
iface= 2, ipnt= 316 (Z): anal= -0.58380778, fd= -0.58368663, err= -0.00012115 (at -1.56585672 -0.40744134 -0.64950583)
iface= 2, ipnt= 320 (Z): anal= 0.77856235, fd= 0.77840208, err= 0.00016027 (at -2.17130141 -0.40016689 0.55439277)
iface= 2, ipnt= 321 (Z): anal= -0.77856235, fd= -0.77840208, err= -0.00016027 (at -2.17130141 -0.40016689 -0.55439277)
iface= 2, ipnt= 327 (Z): anal= 0.57488620, fd= 0.57476688, err= 0.00011932 (at -1.54271662 -0.40758047 0.65351376)
iface= 2, ipnt= 328 (Z): anal= 0.78389065, fd= 0.78373906, err= 0.00015159 (at -3.79453534 -0.35984902 0.40930451)
iface= 2, ipnt= 337 (Z): anal= 0.84588938, fd= 0.84571657, err= 0.00017281 (at -2.51181460 -0.39372589 0.51078067)
iface= 2, ipnt= 338 (Z): anal= -0.84588938, fd= -0.84571657, err= -0.00017281 (at -2.51181460 -0.39372589 -0.51078067)
iface= 2, ipnt= 340 (Z): anal= -0.85644285, fd= -0.85627332, err= -0.00016952 (at -3.35476494 -0.37358379 -0.43575694)
iface= 2, ipnt= 344 (Z): anal= -0.87948393, fd= -0.87930703, err= -0.00017690 (at -2.99119400 -0.38288893 -0.46267121)
iface= 2, ipnt= 353 (Z): anal= 0.87949044, fd= 0.87931324, err= 0.00017720 (at -2.94716254 -0.38394739 0.46644127)
...too many errors to list
d(Face)/d(width) check complete with 154 total errors (errmax= 4.2917e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.3690e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[3,1]" for ibody=10
iface= 1, ipnt= 317 (Z): anal= -0.56594354, fd= -0.56582958, err= -0.00011396 (at -1.20290439 0.40814989 -0.71449795)
iface= 1, ipnt= 319 (Z): anal= 0.56594354, fd= 0.56582958, err= 0.00011396 (at -1.20290439 0.40814989 0.71449795)
iface= 1, ipnt= 326 (Z): anal= 0.77652883, fd= 0.77637269, err= 0.00015614 (at 0.02232211 0.38176504 0.92705666)
iface= 1, ipnt= 329 (Z): anal= -0.67529110, fd= -0.67515527, err= -0.00013583 (at -0.85121360 0.40543420 -0.77970316)
iface= 1, ipnt= 332 (Z): anal= 0.72271281, fd= 0.72256749, err= 0.00014532 (at -0.65584383 0.40229321 0.81552570)
iface= 1, ipnt= 339 (Z): anal= -0.73012259, fd= -0.72997571, err= -0.00014688 (at 0.36216449 0.36615325 -0.97065558)
iface= 1, ipnt= 341 (Z): anal= 0.57443855, fd= 0.57432285, err= 0.00011570 (at 0.94608208 0.33323848 1.02270461)
iface= 1, ipnt= 343 (Z): anal= -0.78040790, fd= -0.78025101, err= -0.00015689 (at -0.19902818 0.39010548 -0.89373521)
iface= 1, ipnt= 346 (Z): anal= -0.63878880, fd= -0.63866020, err= -0.00012860 (at 0.73374035 0.34594712 -1.00724793)
iface= 1, ipnt= 354 (Z): anal= 0.66480223, fd= 0.66466842, err= 0.00013381 (at 0.64008132 0.35130377 0.99914984)
...too many errors to list
iface= 2, ipnt= 317 (Z): anal= 0.56594354, fd= 0.56582958, err= 0.00011396 (at -1.20290439 -0.40814989 0.71449795)
iface= 2, ipnt= 319 (Z): anal= -0.56594354, fd= -0.56582958, err= -0.00011396 (at -1.20290439 -0.40814989 -0.71449795)
iface= 2, ipnt= 326 (Z): anal= -0.77652883, fd= -0.77637269, err= -0.00015614 (at 0.02232211 -0.38176504 -0.92705666)
iface= 2, ipnt= 329 (Z): anal= 0.67529110, fd= 0.67515527, err= 0.00013583 (at -0.85121360 -0.40543420 0.77970316)
iface= 2, ipnt= 332 (Z): anal= -0.72271281, fd= -0.72256749, err= -0.00014532 (at -0.65584383 -0.40229321 -0.81552570)
iface= 2, ipnt= 339 (Z): anal= 0.73012259, fd= 0.72997571, err= 0.00014688 (at 0.36216449 -0.36615325 0.97065558)
iface= 2, ipnt= 341 (Z): anal= -0.57443855, fd= -0.57432285, err= -0.00011570 (at 0.94608208 -0.33323848 -1.02270461)
iface= 2, ipnt= 343 (Z): anal= 0.78040790, fd= 0.78025101, err= 0.00015689 (at -0.19902818 -0.39010548 0.89373521)
iface= 2, ipnt= 346 (Z): anal= 0.63878880, fd= 0.63866020, err= 0.00012860 (at 0.73374035 -0.34594712 1.00724793)
iface= 2, ipnt= 354 (Z): anal= -0.66480223, fd= -0.66466842, err= -0.00013381 (at 0.64008132 -0.35130377 -0.99914984)
...too many errors to list
d(Face)/d(width) check complete with 138 total errors (errmax= 6.0513e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.2097e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[4,1]" for ibody=10
iface= 1, ipnt= 378 (Z): anal= -0.48215345, fd= -0.48205036, err= -0.00010309 (at 1.95615841 0.26544325 -1.03599152)
iface= 1, ipnt= 379 (Z): anal= 0.48215345, fd= 0.48205036, err= 0.00010309 (at 1.95615841 0.26544325 1.03599152)
iface= 1, ipnt= 447 (Z): anal= -0.52841294, fd= -0.52830199, err= -0.00011096 (at 2.36799780 0.23606849 -1.00904414)
iface= 1, ipnt= 448 (Z): anal= 0.52841294, fd= 0.52830199, err= 0.00011096 (at 2.36799780 0.23606849 1.00904414)
iface= 1, ipnt= 452 (Z): anal= -0.53874567, fd= -0.53863555, err= -0.00011013 (at 2.80170252 0.20520266 -0.95681390)
iface= 1, ipnt= 455 (Z): anal= 0.53874567, fd= 0.53863555, err= 0.00011013 (at 2.80170252 0.20520266 0.95681390)
iface= 1, ipnt= 469 (Z): anal= -0.53917310, fd= -0.53906142, err= -0.00011168 (at 2.60943360 0.21882610 -0.98318768)
iface= 1, ipnt= 472 (Z): anal= 0.53917310, fd= 0.53906142, err= 0.00011168 (at 2.60943360 0.21882610 0.98318768)
iface= 1, ipnt= 476 (Z): anal= -0.51465799, fd= -0.51455642, err= -0.00010157 (at 3.18281073 0.17878261 -0.88809095)
iface= 1, ipnt= 498 (Z): anal= -0.53035853, fd= -0.53025182, err= -0.00010671 (at 2.99289830 0.19183034 -0.92515076)
...too many errors to list
iface= 2, ipnt= 378 (Z): anal= 0.48215345, fd= 0.48205036, err= 0.00010309 (at 1.95615841 -0.26544325 1.03599152)
iface= 2, ipnt= 379 (Z): anal= -0.48215345, fd= -0.48205036, err= -0.00010309 (at 1.95615841 -0.26544325 -1.03599152)
iface= 2, ipnt= 447 (Z): anal= 0.52841294, fd= 0.52830199, err= 0.00011096 (at 2.36799780 -0.23606849 1.00904414)
iface= 2, ipnt= 448 (Z): anal= -0.52841294, fd= -0.52830199, err= -0.00011096 (at 2.36799780 -0.23606849 -1.00904414)
iface= 2, ipnt= 452 (Z): anal= 0.53874567, fd= 0.53863555, err= 0.00011013 (at 2.80170252 -0.20520266 0.95681390)
iface= 2, ipnt= 455 (Z): anal= -0.53874567, fd= -0.53863555, err= -0.00011013 (at 2.80170252 -0.20520266 -0.95681390)
iface= 2, ipnt= 463 (Z): anal= 0.53917310, fd= 0.53906142, err= 0.00011168 (at 2.60943360 -0.21882610 0.98318768)
iface= 2, ipnt= 469 (Z): anal= -0.53917310, fd= -0.53906142, err= -0.00011168 (at 2.60943360 -0.21882610 -0.98318768)
iface= 2, ipnt= 498 (Z): anal= 0.53035853, fd= 0.53025182, err= 0.00010671 (at 2.99289830 -0.19183034 0.92515076)
iface= 2, ipnt= 499 (Z): anal= -0.53035853, fd= -0.53025182, err= -0.00010671 (at 2.99289830 -0.19183034 -0.92515076)
...too many errors to list
d(Face)/d(width) check complete with 166 total errors (errmax= 3.8952e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 3.5530e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[5,1]" for ibody=10
d(Face)/d(width) check complete with 0 total errors (errmax= 1.3235e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "Rnose" for ibody=10
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 7.1026e-07)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 8.5637e-07)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "Rtail" for ibody=10
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 1.3235e-09)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xbase" for ibody=10
d(Face)/d(xbase) check complete with 0 total errors (errmax= 1.4273e-09)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 1.0148e-09)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ybase" for ibody=10
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.3181e-09)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 4.4409e-16)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zbase" for ibody=10
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.3234e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 5.2369e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.462 sec
Sensitivity checks complete with 458 total errors (max config err= 6.0513e-04) with 0 suppressions
real 0m5.894s
user 0m6.040s
sys 0m0.004s
++++ set +x
data/basic/designF2rs -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 112 / 180 )
data/basic/designF2sr.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF2sr.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.6486e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.5475e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.6712e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.1494e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.9126e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.5108e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.3850e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 5.0699e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.0904e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.4805e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[1,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.4567e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[2,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 4.1749e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 1.4579e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[3,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 9.4100e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 2.4240e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[4,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.5758e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 9.6640e-07)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[5,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.4567e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[1,1]" for ibody=10
d(Face)/d(width) check complete with 0 total errors (errmax= 1.4567e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[2,1]" for ibody=10
iface= 1, ipnt= 307 (Z): anal= 0.48841773, fd= 0.48831240, err= 0.00010533 (at -1.47242109 0.43148886 0.72018440)
iface= 1, ipnt= 313 (Z): anal= -0.69167091, fd= -0.69152446, err= -0.00014645 (at -2.07734580 0.42646297 -0.61887127)
iface= 1, ipnt= 314 (Z): anal= -0.56617555, fd= -0.56605416, err= -0.00012139 (at -1.68975079 0.43158808 -0.68434686)
iface= 1, ipnt= 317 (Z): anal= 0.69167091, fd= 0.69152446, err= 0.00014645 (at -2.07734580 0.42646297 0.61887127)
iface= 1, ipnt= 325 (Z): anal= -0.83576071, fd= -0.83558926, err= -0.00017145 (at -2.72970379 0.40061178 -0.50736975)
iface= 1, ipnt= 326 (Z): anal= 0.80464469, fd= 0.80447776, err= 0.00016694 (at -2.53710166 0.41068352 0.54017751)
iface= 1, ipnt= 331 (Z): anal= 0.85990439, fd= 0.85973211, err= 0.00017228 (at -3.04048979 0.37958510 0.45521266)
iface= 1, ipnt= 338 (Z): anal= -0.84041085, fd= -0.84024937, err= -0.00016148 (at -3.41847588 0.34581771 -0.39364239)
iface= 1, ipnt= 349 (Z): anal= -0.85998398, fd= -0.85981324, err= -0.00017074 (at -3.13544420 0.37192110 -0.43955149)
iface= 1, ipnt= 355 (Z): anal= 0.85007602, fd= 0.84991074, err= 0.00016529 (at -3.32442161 0.35501087 0.40877561)
...too many errors to list
iface= 2, ipnt= 306 (Z): anal= -0.48841773, fd= -0.48831240, err= -0.00010533 (at -1.47242109 -0.43148886 -0.72018440)
iface= 2, ipnt= 311 (Z): anal= 0.69167091, fd= 0.69152446, err= 0.00014645 (at -2.07734580 -0.42646297 0.61887127)
iface= 2, ipnt= 312 (Z): anal= -0.69167091, fd= -0.69152446, err= -0.00014645 (at -2.07734580 -0.42646297 -0.61887127)
iface= 2, ipnt= 316 (Z): anal= 0.56617555, fd= 0.56605416, err= 0.00012139 (at -1.68975079 -0.43158808 0.68434686)
iface= 2, ipnt= 324 (Z): anal= 0.83576071, fd= 0.83558926, err= 0.00017145 (at -2.72970379 -0.40061178 0.50736975)
iface= 2, ipnt= 325 (Z): anal= -0.80464469, fd= -0.80447776, err= -0.00016694 (at -2.53710166 -0.41068352 -0.54017751)
iface= 2, ipnt= 330 (Z): anal= -0.85990439, fd= -0.85973211, err= -0.00017228 (at -3.04048979 -0.37958510 -0.45521266)
iface= 2, ipnt= 332 (Z): anal= 0.84041085, fd= 0.84024937, err= 0.00016148 (at -3.41847588 -0.34581771 0.39364239)
iface= 2, ipnt= 340 (Z): anal= 0.85998398, fd= 0.85981324, err= 0.00017074 (at -3.13544420 -0.37192110 0.43955149)
iface= 2, ipnt= 349 (Z): anal= -0.85007602, fd= -0.84991074, err= -0.00016529 (at -3.32442161 -0.35501087 -0.40877561)
...too many errors to list
d(Face)/d(width) check complete with 120 total errors (errmax= 6.4555e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.1146e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[3,1]" for ibody=10
iface= 1, ipnt= 307 (Z): anal= 0.50023987, fd= 0.50013953, err= 0.00010034 (at -1.47242109 0.43148886 0.72018440)
iface= 1, ipnt= 312 (Z): anal= -0.62522813, fd= -0.62510267, err= -0.00012546 (at -1.08872309 0.42650402 -0.78101476)
iface= 1, ipnt= 315 (Z): anal= -0.72259527, fd= -0.72245019, err= -0.00014508 (at -0.71027401 0.41599547 -0.83672868)
iface= 1, ipnt= 316 (Z): anal= 0.72259527, fd= 0.72245019, err= 0.00014508 (at -0.71027401 0.41599547 0.83672868)
iface= 1, ipnt= 330 (Z): anal= -0.78589033, fd= -0.78573232, err= -0.00015801 (at -0.02231498 0.38397599 -0.92157746)
iface= 1, ipnt= 343 (Z): anal= 0.78860963, fd= 0.78845111, err= 0.00015851 (at -0.13456693 0.39027406 0.90956158)
iface= 1, ipnt= 348 (Z): anal= 0.60878677, fd= 0.60866411, err= 0.00012266 (at 0.78599396 0.32895485 0.98075895)
iface= 1, ipnt= 353 (Z): anal= 0.71885146, fd= 0.71870677, err= 0.00014469 (at 0.41732750 0.35574922 0.95999209)
iface= 1, ipnt= 357 (Z): anal= -0.77712170, fd= -0.77696557, err= -0.00015613 (at -0.36215714 0.40178407 -0.88282595)
iface= 1, ipnt= 360 (Z): anal= -0.49799621, fd= -0.49789578, err= -0.00010043 (at 1.09211163 0.30581472 -0.98994517)
...too many errors to list
iface= 2, ipnt= 306 (Z): anal= -0.50023987, fd= -0.50013953, err= -0.00010034 (at -1.47242109 -0.43148886 -0.72018440)
iface= 2, ipnt= 309 (Z): anal= 0.62522813, fd= 0.62510267, err= 0.00012546 (at -1.08872309 -0.42650402 0.78101476)
iface= 2, ipnt= 310 (Z): anal= -0.72259527, fd= -0.72245019, err= -0.00014508 (at -0.71027401 -0.41599547 -0.83672868)
iface= 2, ipnt= 318 (Z): anal= 0.70157214, fd= 0.70143130, err= 0.00014084 (at -0.80427661 -0.41910005 0.82337136)
iface= 2, ipnt= 335 (Z): anal= -0.78860963, fd= -0.78845111, err= -0.00015851 (at -0.13456693 -0.39027406 -0.90956158)
iface= 2, ipnt= 341 (Z): anal= 0.49799621, fd= 0.49789578, err= 0.00010043 (at 1.09211163 -0.30581472 0.98994517)
iface= 2, ipnt= 344 (Z): anal= 0.78589033, fd= 0.78573232, err= 0.00015801 (at -0.02231498 -0.38397599 0.92157746)
iface= 2, ipnt= 348 (Z): anal= -0.60878677, fd= -0.60866411, err= -0.00012266 (at 0.78599396 -0.32895485 -0.98075895)
iface= 2, ipnt= 350 (Z): anal= 0.77229056, fd= 0.77213542, err= 0.00015514 (at -0.40813330 -0.40390001 0.87707398)
iface= 2, ipnt= 353 (Z): anal= -0.71885146, fd= -0.71870677, err= -0.00014469 (at 0.41732750 -0.35574922 -0.95999209)
...too many errors to list
d(Face)/d(width) check complete with 123 total errors (errmax= 5.8509e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 9.5078e-09)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[4,1]" for ibody=10
iface= 1, ipnt= 367 (Z): anal= -0.50317953, fd= -0.50307952, err= -0.00010001 (at 1.84946582 0.25128324 -0.98458724)
iface= 1, ipnt= 431 (Z): anal= 0.50639576, fd= 0.50629510, err= 0.00010065 (at 1.87364150 0.24969439 0.98385377)
iface= 1, ipnt= 436 (Z): anal= -0.54097692, fd= -0.54086922, err= -0.00010770 (at 2.24810523 0.22676701 -0.96897182)
iface= 1, ipnt= 442 (Z): anal= -0.52569276, fd= -0.52558822, err= -0.00010454 (at 2.04551021 0.23876630 -0.97780841)
iface= 1, ipnt= 446 (Z): anal= 0.53225651, fd= 0.53215063, err= 0.00010588 (at 2.12067110 0.23419950 0.97473371)
iface= 1, ipnt= 452 (Z): anal= -0.54939590, fd= -0.54928631, err= -0.00010958 (at 2.45808094 0.21540458 -0.95811704)
iface= 1, ipnt= 455 (Z): anal= -0.55130283, fd= -0.55119252, err= -0.00011030 (at 2.70415936 0.20353152 -0.94354229)
iface= 1, ipnt= 478 (Z): anal= 0.54770308, fd= 0.54759315, err= 0.00010993 (at 2.90349464 0.19506713 0.93051110)
iface= 1, ipnt= 485 (Z): anal= -0.54432292, fd= -0.54421346, err= -0.00010946 (at 3.00596153 0.19111547 -0.92344848)
iface= 1, ipnt= 490 (Z): anal= 0.52991847, fd= 0.52981124, err= 0.00010723 (at 3.29300498 0.18131516 0.90228919)
...too many errors to list
iface= 2, ipnt= 377 (Z): anal= 0.50317953, fd= 0.50307952, err= 0.00010001 (at 1.84946582 -0.25128324 0.98458724)
iface= 2, ipnt= 421 (Z): anal= -0.50639576, fd= -0.50629510, err= -0.00010065 (at 1.87364150 -0.24969439 -0.98385377)
iface= 2, ipnt= 432 (Z): anal= -0.54239515, fd= -0.54228714, err= -0.00010801 (at 2.27393154 -0.22530943 -0.96772454)
iface= 2, ipnt= 433 (Z): anal= 0.52569276, fd= 0.52558822, err= 0.00010454 (at 2.04551021 -0.23876630 0.97780841)
iface= 2, ipnt= 443 (Z): anal= -0.55130283, fd= -0.55119252, err= -0.00011030 (at 2.70415936 -0.20353152 -0.94354229)
iface= 2, ipnt= 475 (Z): anal= -0.52991847, fd= -0.52981124, err= -0.00010723 (at 3.29300498 -0.18131516 -0.90228919)
iface= 2, ipnt= 476 (Z): anal= 0.52991847, fd= 0.52981124, err= 0.00010723 (at 3.29300498 -0.18131516 0.90228919)
iface= 2, ipnt= 477 (Z): anal= 0.54770308, fd= 0.54759315, err= 0.00010993 (at 2.90349464 -0.19506713 0.93051110)
iface= 2, ipnt= 485 (Z): anal= -0.54810091, fd= -0.54799092, err= -0.00010998 (at 2.88901237 -0.19564743 -0.93149045)
iface= 2, ipnt= 511 (Z): anal= -0.53988298, fd= -0.53977418, err= -0.00010880 (at 3.11032311 -0.18735787 -0.91601544)
...too many errors to list
d(Face)/d(width) check complete with 144 total errors (errmax= 4.6433e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 3.5270e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[5,1]" for ibody=10
d(Face)/d(width) check complete with 0 total errors (errmax= 1.4567e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "Rnose" for ibody=10
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 1.4567e-09)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "Rtail" for ibody=10
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 2.6192e-07)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 6.5508e-07)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xbase" for ibody=10
d(Face)/d(xbase) check complete with 0 total errors (errmax= 1.7592e-09)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 1.0022e-09)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ybase" for ibody=10
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.4572e-09)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 4.4409e-16)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zbase" for ibody=10
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.4570e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 3.6165e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.458 sec
Sensitivity checks complete with 387 total errors (max config err= 6.4555e-04) with 0 suppressions
real 0m6.291s
user 0m6.532s
sys 0m0.004s
++++ set +x
data/basic/designF2sr -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 113 / 180 )
data/basic/designF2ss.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designF2ss.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xloc[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[1,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.5967e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.5285e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "xloc[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[2,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.6481e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 2.1216e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[3,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.7314e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.7639e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[4,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 4.2228e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 4.7060e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xloc[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xloc[5,1]" for ibody=10
d(Face)/d(xloc) check complete with 0 total errors (errmax= 3.2926e-08)
d(Edge)/d(xloc) check complete with 0 total errors (errmax= 3.6211e-08)
d(Node)/d(xloc) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "height[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[1,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.1138e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[2,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 4.1927e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 1.4966e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[3,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 8.4509e-07)
d(Edge)/d(height) check complete with 0 total errors (errmax= 2.7249e-09)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[4,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.4929e-06)
d(Edge)/d(height) check complete with 0 total errors (errmax= 7.0074e-08)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "height[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "height[5,1]" for ibody=10
d(Face)/d(height) check complete with 0 total errors (errmax= 1.1138e-09)
d(Edge)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(height) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[1,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[1,1]" for ibody=10
d(Face)/d(width) check complete with 0 total errors (errmax= 1.1138e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[2,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[2,1]" for ibody=10
iface= 1, ipnt= 333 (Z): anal= -0.62374721, fd= -0.62361417, err= -0.00013304 (at -1.88497071 0.42820828 -0.64678479)
iface= 1, ipnt= 336 (Z): anal= 0.62374721, fd= 0.62361417, err= 0.00013304 (at -1.88497071 0.42820828 0.64678479)
iface= 1, ipnt= 340 (Z): anal= 0.48811545, fd= 0.48801022, err= 0.00010524 (at -1.50478344 0.42897198 0.70871647)
iface= 1, ipnt= 347 (Z): anal= -0.52319734, fd= -0.52308482, err= -0.00011252 (at -1.59994097 0.42937236 -0.69337861)
iface= 1, ipnt= 348 (Z): anal= 0.71987002, fd= 0.71971817, err= 0.00015185 (at -2.19289931 0.42260419 0.59571224)
iface= 1, ipnt= 353 (Z): anal= -0.71987002, fd= -0.71971817, err= -0.00015185 (at -2.19289931 0.42260419 -0.59571224)
iface= 1, ipnt= 355 (Z): anal= 0.85227503, fd= 0.85210191, err= 0.00017311 (at -2.87589203 0.39145808 0.48224330)
iface= 1, ipnt= 358 (Z): anal= -0.85227503, fd= -0.85210191, err= -0.00017311 (at -2.87589203 0.39145808 -0.48224330)
iface= 1, ipnt= 376 (Z): anal= -0.85084862, fd= -0.85068318, err= -0.00016543 (at -3.31988712 0.35536352 -0.41038246)
iface= 1, ipnt= 377 (Z): anal= 0.85748504, fd= 0.85731649, err= 0.00016855 (at -3.22664699 0.36398807 0.42529312)
...too many errors to list
iface= 2, ipnt= 333 (Z): anal= 0.62374721, fd= 0.62361417, err= 0.00013304 (at -1.88497071 -0.42820828 0.64678479)
iface= 2, ipnt= 336 (Z): anal= -0.62374721, fd= -0.62361417, err= -0.00013304 (at -1.88497071 -0.42820828 -0.64678479)
iface= 2, ipnt= 340 (Z): anal= -0.48811545, fd= -0.48801022, err= -0.00010524 (at -1.50478344 -0.42897198 -0.70871647)
iface= 2, ipnt= 347 (Z): anal= 0.52319734, fd= 0.52308482, err= 0.00011252 (at -1.59994097 -0.42937236 0.69337861)
iface= 2, ipnt= 348 (Z): anal= -0.71987002, fd= -0.71971817, err= -0.00015185 (at -2.19289931 -0.42260419 -0.59571224)
iface= 2, ipnt= 353 (Z): anal= 0.71987002, fd= 0.71971817, err= 0.00015185 (at -2.19289931 -0.42260419 0.59571224)
iface= 2, ipnt= 358 (Z): anal= 0.85227503, fd= 0.85210191, err= 0.00017311 (at -2.87589203 -0.39145808 0.48224330)
iface= 2, ipnt= 359 (Z): anal= -0.85227503, fd= -0.85210191, err= -0.00017311 (at -2.87589203 -0.39145808 -0.48224330)
iface= 2, ipnt= 375 (Z): anal= 0.77465103, fd= 0.77451060, err= 0.00014044 (at -3.78452256 -0.30533823 0.33729842)
iface= 2, ipnt= 377 (Z): anal= -0.85084862, fd= -0.85068318, err= -0.00016543 (at -3.31988712 -0.35536352 -0.41038246)
...too many errors to list
d(Face)/d(width) check complete with 125 total errors (errmax= 5.5448e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.1070e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[3,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[3,1]" for ibody=10
iface= 1, ipnt= 338 (Z): anal= -0.62363019, fd= -0.62350500, err= -0.00012519 (at -1.12352822 0.42379716 -0.76868121)
iface= 1, ipnt= 340 (Z): anal= 0.49957251, fd= 0.49947226, err= 0.00010025 (at -1.50478344 0.42897198 0.70871647)
iface= 1, ipnt= 346 (Z): anal= 0.69360771, fd= 0.69346842, err= 0.00013928 (at -0.86093670 0.41725455 0.80824261)
iface= 1, ipnt= 352 (Z): anal= -0.77160903, fd= -0.77145398, err= -0.00015504 (at -0.40674040 0.40116921 -0.87230719)
iface= 1, ipnt= 362 (Z): anal= 0.78562447, fd= 0.78546654, err= 0.00015793 (at -0.11964141 0.38845017 0.90934281)
iface= 1, ipnt= 364 (Z): anal= 0.63689879, fd= 0.63677055, err= 0.00012824 (at 0.78927507 0.33913374 1.00210411)
iface= 1, ipnt= 367 (Z): anal= -0.51679016, fd= -0.51668602, err= -0.00010415 (at 1.17124261 0.31535337 -1.02537424)
iface= 1, ipnt= 371 (Z): anal= 0.71546329, fd= 0.71531932, err= 0.00014397 (at 0.47850208 0.35729951 0.97549160)
iface= 1, ipnt= 378 (Z): anal= -0.63689879, fd= -0.63677055, err= -0.00012824 (at 0.78927507 0.33913374 -1.00210411)
iface= 1, ipnt= 379 (Z): anal= 0.51679016, fd= 0.51668602, err= 0.00010415 (at 1.17124261 0.31535337 1.02537424)
...too many errors to list
iface= 2, ipnt= 338 (Z): anal= 0.62363019, fd= 0.62350500, err= 0.00012519 (at -1.12352822 -0.42379716 0.76868121)
iface= 2, ipnt= 340 (Z): anal= -0.49957251, fd= -0.49947226, err= -0.00010025 (at -1.50478344 -0.42897198 -0.70871647)
iface= 2, ipnt= 346 (Z): anal= -0.69360771, fd= -0.69346842, err= -0.00013928 (at -0.86093670 -0.41725455 -0.80824261)
iface= 2, ipnt= 352 (Z): anal= 0.77160903, fd= 0.77145398, err= 0.00015504 (at -0.40674040 -0.40116921 0.87230719)
iface= 2, ipnt= 355 (Z): anal= -0.77733054, fd= -0.77717422, err= -0.00015631 (at 0.07179150 -0.37909396 -0.93230262)
iface= 2, ipnt= 365 (Z): anal= 0.63689879, fd= 0.63677055, err= 0.00012824 (at 0.78927507 -0.33913374 1.00210411)
iface= 2, ipnt= 366 (Z): anal= -0.63689879, fd= -0.63677055, err= -0.00012824 (at 0.78927507 -0.33913374 -1.00210411)
iface= 2, ipnt= 371 (Z): anal= 0.71546329, fd= 0.71531932, err= 0.00014397 (at 0.47850208 -0.35729951 0.97549160)
iface= 2, ipnt= 372 (Z): anal= -0.71546329, fd= -0.71531932, err= -0.00014397 (at 0.47850208 -0.35729951 -0.97549160)
iface= 2, ipnt= 378 (Z): anal= 0.51679016, fd= 0.51668602, err= 0.00010415 (at 1.17124261 -0.31535337 1.02537424)
...too many errors to list
d(Face)/d(width) check complete with 142 total errors (errmax= 6.0266e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 1.1821e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[4,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[4,1]" for ibody=10
iface= 1, ipnt= 402 (Z): anal= -0.49965814, fd= -0.49955169, err= -0.00010645 (at 2.07458818 0.25491198 -1.02676854)
iface= 1, ipnt= 452 (Z): anal= 0.49298353, fd= 0.49287830, err= 0.00010523 (at 2.02721929 0.25816877 1.02891033)
iface= 1, ipnt= 454 (Z): anal= 0.52957660, fd= 0.52946525, err= 0.00011135 (at 2.35829899 0.23533699 1.00802011)
iface= 1, ipnt= 461 (Z): anal= -0.53951138, fd= -0.53939913, err= -0.00011225 (at 2.54692211 0.22231393 -0.98959882)
iface= 1, ipnt= 465 (Z): anal= -0.52957660, fd= -0.52946525, err= -0.00011135 (at 2.35829899 0.23533699 -1.00802011)
iface= 1, ipnt= 474 (Z): anal= -0.53069897, fd= -0.53059220, err= -0.00010677 (at 2.99302223 0.19180929 -0.92512348)
iface= 1, ipnt= 475 (Z): anal= 0.53069897, fd= 0.53059220, err= 0.00010677 (at 2.99302223 0.19180929 0.92512348)
iface= 1, ipnt= 483 (Z): anal= 0.54161703, fd= 0.54150537, err= 0.00011167 (at 2.68809371 0.21259775 0.97248409)
iface= 1, ipnt= 491 (Z): anal= -0.53989492, fd= -0.53978456, err= -0.00011037 (at 2.80553152 0.20455211 -0.95597122)
iface= 1, ipnt= 555 (Z): anal= 0.51430067, fd= 0.51419917, err= 0.00010149 (at 3.17999131 0.17926164 0.88871144)
...too many errors to list
iface= 2, ipnt= 410 (Z): anal= -0.49965814, fd= -0.49955169, err= -0.00010645 (at 2.07458818 -0.25491198 -1.02676854)
iface= 2, ipnt= 449 (Z): anal= 0.49298353, fd= 0.49287830, err= 0.00010523 (at 2.02721929 -0.25816877 1.02891033)
iface= 2, ipnt= 451 (Z): anal= 0.52957660, fd= 0.52946525, err= 0.00011135 (at 2.35829899 -0.23533699 1.00802011)
iface= 2, ipnt= 459 (Z): anal= -0.53951138, fd= -0.53939913, err= -0.00011225 (at 2.54692211 -0.22231393 -0.98959882)
iface= 2, ipnt= 463 (Z): anal= -0.52957660, fd= -0.52946525, err= -0.00011135 (at 2.35829899 -0.23533699 -1.00802011)
iface= 2, ipnt= 464 (Z): anal= 0.54130502, fd= 0.54119379, err= 0.00011123 (at 2.73509174 -0.20937310 0.96612863)
iface= 2, ipnt= 474 (Z): anal= -0.53069897, fd= -0.53059220, err= -0.00010677 (at 2.99302223 -0.19180929 -0.92512348)
iface= 2, ipnt= 489 (Z): anal= -0.53989492, fd= -0.53978456, err= -0.00011037 (at 2.80553152 -0.20455211 -0.95597122)
iface= 2, ipnt= 490 (Z): anal= 0.53506289, fd= 0.53495455, err= 0.00010834 (at 2.92277397 -0.19656652 0.93734293)
iface= 2, ipnt= 497 (Z): anal= 0.52118436, fd= 0.52108072, err= 0.00010364 (at 3.10993771 -0.18394380 0.90300194)
...too many errors to list
d(Face)/d(width) check complete with 157 total errors (errmax= 5.1146e-04)
d(Edge)/d(width) check complete with 0 total errors (errmax= 3.5344e-08)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "width[5,1]"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "width[5,1]" for ibody=10
d(Face)/d(width) check complete with 0 total errors (errmax= 1.1138e-09)
d(Edge)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(width) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rnose"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "Rnose" for ibody=10
d(Face)/d(Rnose) check complete with 0 total errors (errmax= 1.1138e-09)
d(Edge)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rnose) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Rtail"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "Rtail" for ibody=10
d(Face)/d(Rtail) check complete with 0 total errors (errmax= 1.1138e-09)
d(Edge)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(Rtail) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "xbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xbase" for ibody=10
d(Face)/d(xbase) check complete with 0 total errors (errmax= 9.2089e-10)
d(Edge)/d(xbase) check complete with 0 total errors (errmax= 3.4111e-10)
d(Node)/d(xbase) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "ybase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ybase" for ibody=10
d(Face)/d(ybase) check complete with 0 total errors (errmax= 1.0434e-09)
d(Edge)/d(ybase) check complete with 0 total errors (errmax= 4.4409e-16)
d(Node)/d(ybase) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "zbase"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zbase" for ibody=10
d(Face)/d(zbase) check complete with 0 total errors (errmax= 1.1139e-09)
d(Edge)/d(zbase) check complete with 0 total errors (errmax= 5.2626e-10)
d(Node)/d(zbase) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.485 sec
Sensitivity checks complete with 424 total errors (max config err= 6.0266e-04) with 0 suppressions
real 0m6.241s
user 0m6.512s
sys 0m0.008s
++++ set +x
data/basic/designF2ss -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 114 / 180 )
data/basic/designG0.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "area" for ibody=8
d(Face)/d(area) check complete with 0 total errors (errmax= 3.0049e-09)
d(Edge)/d(area) check complete with 0 total errors (errmax= 3.8931e-09)
d(Node)/d(area) check complete with 0 total errors (errmax= 4.2902e-09)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "aspect" for ibody=8
d(Face)/d(aspect) check complete with 0 total errors (errmax= 3.5586e-08)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 4.2860e-08)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.6347e-08)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "taper" for ibody=8
d(Face)/d(taper) check complete with 0 total errors (errmax= 5.4800e-07)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 1.2575e-06)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6765e-06)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "twist" for ibody=8
d(Face)/d(twist) check complete with 0 total errors (errmax= 7.3751e-10)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(twist) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "lesweep" for ibody=8
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 1.7888e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 1.7734e-09)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 1.6058e-09)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "dihedral" for ibody=8
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 7.5806e-10)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 6.6641e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 3.2003e-11)
*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "thick_r" for ibody=8
iface= 1, ipnt= 279 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 2.67610927 1.89206307 0.55032591)
iface= 1, ipnt= 310 (X): anal= -0.09337563, fd= -0.09307219, err= -0.00030344 (at 4.06325965 7.04344645 0.15393468)
iface= 1, ipnt= 310 (Y): anal= 0.05367312, fd= 0.05349870, err= 0.00017442 (at 4.06325965 7.04344645 0.15393468)
iface= 1, ipnt= 312 (X): anal= -0.00704609, fd= -0.00716330, err= 0.00011721 (at 4.06415392 7.04344645 0.13045255)
iface= 1, ipnt= 313 (X): anal= -0.02685060, fd= -0.02700398, err= 0.00015338 (at 0.01225192 0.02762136 0.01576762)
iface= 1, ipnt= 368 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.25818203 2.90024266 0.56792375)
iface= 1, ipnt= 373 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.90005678 4.01200234 0.58732959)
iface= 1, ipnt= 374 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.00302685 2.45830092 0.56020963)
iface= 1, ipnt= 410 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.46549561 3.25932032 0.57419147)
iface= 1, ipnt= 418 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.66682900 3.60803997 0.58027840)
...too many errors to list
iface= 2, ipnt= 225 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 1.88456453 0.63529125 0.09427194)
iface= 2, ipnt= 302 (X): anal= -0.06320723, fd= -0.06300799, err= -0.00019924 (at 0.03356819 0.02762136 -0.02322222)
iface= 2, ipnt= 302 (Y): anal= 0.03781182, fd= 0.03769263, err= 0.00011919 (at 0.03356819 0.02762136 -0.02322222)
iface= 2, ipnt= 302 (Z): anal= -0.07557187, fd= -0.07533366, err= -0.00023821 (at 0.03356819 0.02762136 -0.02322222)
iface= 2, ipnt= 375 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 5.15727163 6.20099501 0.19365445)
iface= 2, ipnt= 393 (Z): anal= -1.79183651, fd= -1.79170153, err= -0.00013498 (at 2.30759399 1.23950847 0.10757182)
iface= 2, ipnt= 404 (Z): anal= -1.78617755, fd= -1.78607447, err= -0.00010308 (at 5.37382918 6.52468281 0.20033284)
iface= 2, ipnt= 417 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 2.59525447 1.76345112 0.11619684)
iface= 2, ipnt= 420 (Z): anal= -1.78617755, fd= -1.78607447, err= -0.00010308 (at 4.97066406 5.82638034 0.18814392)
iface= 2, ipnt= 432 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 4.39126485 4.97702356 0.17005716)
...too many errors to list
iface= 5, ipnt= 304 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.22230083 -2.83809460 0.56683895)
iface= 5, ipnt= 308 (X): anal= -0.02685060, fd= -0.02700398, err= 0.00015338 (at 0.01225192 -0.02762136 0.01576762)
iface= 5, ipnt= 356 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.70470360 -3.67364070 0.58142346)
iface= 5, ipnt= 361 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.72931112 -5.44831299 0.61240048)
iface= 5, ipnt= 379 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.91201718 -4.03271836 0.58769119)
iface= 5, ipnt= 387 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.49807674 -5.04780329 0.60540956)
iface= 5, ipnt= 390 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.10537697 -4.36762733 0.59353704)
iface= 5, ipnt= 391 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 3.46948241 -3.26622566 0.57431201)
iface= 5, ipnt= 404 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.29873675 -4.70253631 0.59938290)
iface= 5, ipnt= 425 (Z): anal= 1.79137264, fd= 1.79150017, err= -0.00012753 (at 4.96054550 -5.84882269 0.61939140)
...too many errors to list
iface= 6, ipnt= 419 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 2.59525447 -1.76345112 0.11619684)
iface= 6, ipnt= 469 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 2.79205981 -2.20711919 0.12170830)
iface= 6, ipnt= 484 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 1.97626092 -0.79411406 0.09704421)
iface= 6, ipnt= 508 (Z): anal= -1.78617755, fd= -1.78607447, err= -0.00010308 (at 5.37382918 -6.52468281 0.20033284)
iface= 6, ipnt= 518 (Z): anal= -1.79733575, fd= -1.79718594, err= -0.00014981 (at 4.50698723 -5.07466938 0.17399437)
iface= 6, ipnt= 547 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 2.99289485 -2.55497567 0.12778016)
iface= 6, ipnt= 611 (Z): anal= -1.81766965, fd= -1.81779925, err= 0.00012959 (at 4.03195452 -4.35467982 0.15919411)
iface= 6, ipnt= 620 (X): anal= -0.05453520, fd= -0.05437959, err= -0.00015562 (at 4.06983875 -7.02263014 0.10088391)
iface= 6, ipnt= 620 (Z): anal= -0.05979806, fd= -0.05962742, err= -0.00017063 (at 4.06983875 -7.02263014 0.10088391)
iface= 6, ipnt= 643 (X): anal= -0.06841296, fd= -0.06820820, err= -0.00020476 (at 4.08425150 -7.04104438 0.09799028)
...too many errors to list
d(Face)/d(thick_r) check complete with 2302 total errors (errmax= 3.0420e-04)
iedge= 3, ipnt= 9 (Z): anal= 1.79527219, fd= 1.79539999, err= -0.00012781 (at 1.58372615 0.00000000 0.51729982)
iedge= 3, ipnt= 18 (X): anal= -0.12358685, fd= -0.12318524, err= -0.00040161 (at -0.00327605 0.00000000 0.03099086)
iedge= 3, ipnt= 19 (X): anal= -0.03576525, fd= -0.03596955, err= 0.00020430 (at -0.00369528 0.00000000 0.01528549)
iedge= 4, ipnt= 9 (Z): anal= 1.79527219, fd= 1.79539999, err= -0.00012781 (at 5.66620905 7.07106781 0.64072577)
iedge= 4, ipnt= 18 (X): anal= -0.12358685, fd= -0.12318524, err= -0.00040161 (at 4.07920685 7.07106781 0.15441681)
iedge= 4, ipnt= 19 (X): anal= -0.03576525, fd= -0.03596955, err= 0.00020430 (at 4.07878763 7.07106781 0.13871143)
iedge= 6, ipnt= 1 (X): anal= -0.02577075, fd= -0.02593424, err= 0.00016349 (at 0.00733960 -0.00000000 -0.01295241)
iedge= 6, ipnt= 1 (Z): anal= -0.01936466, fd= -0.01948751, err= 0.00012285 (at 0.00733960 -0.00000000 -0.01295241)
iedge= 6, ipnt= 2 (X): anal= -0.07251766, fd= -0.07228907, err= -0.00022859 (at 0.01762099 -0.00000000 -0.02370436)
iedge= 6, ipnt= 2 (Z): anal= -0.08670362, fd= -0.08643032, err= -0.00027330 (at 0.01762099 -0.00000000 -0.02370436)
iedge= 7, ipnt= 1 (X): anal= -0.02577075, fd= -0.02593424, err= 0.00016349 (at 4.08982250 7.07106781 0.11047353)
iedge= 7, ipnt= 1 (Z): anal= -0.01936466, fd= -0.01948751, err= 0.00012285 (at 4.08982250 7.07106781 0.11047353)
iedge= 7, ipnt= 2 (X): anal= -0.07251766, fd= -0.07228907, err= -0.00022859 (at 4.10010390 7.07106781 0.09972159)
iedge= 7, ipnt= 2 (Z): anal= -0.08670362, fd= -0.08643032, err= -0.00027330 (at 4.10010390 7.07106781 0.09972159)
iedge= 12, ipnt= 9 (Z): anal= 1.79527219, fd= 1.79539999, err= -0.00012781 (at 5.66620905 -7.07106781 0.64072577)
iedge= 12, ipnt= 18 (X): anal= -0.12358685, fd= -0.12318524, err= -0.00040161 (at 4.07920685 -7.07106781 0.15441681)
iedge= 12, ipnt= 19 (X): anal= -0.03576525, fd= -0.03596955, err= 0.00020430 (at 4.07878763 -7.07106781 0.13871143)
iedge= 14, ipnt= 1 (X): anal= -0.02577075, fd= -0.02593424, err= 0.00016349 (at 4.08982250 -7.07106781 0.11047353)
iedge= 14, ipnt= 1 (Z): anal= -0.01936466, fd= -0.01948751, err= 0.00012285 (at 4.08982250 -7.07106781 0.11047353)
iedge= 14, ipnt= 2 (X): anal= -0.07251766, fd= -0.07228907, err= -0.00022859 (at 4.10010390 -7.07106781 0.09972159)
iedge= 14, ipnt= 2 (Z): anal= -0.08670362, fd= -0.08643032, err= -0.00027330 (at 4.10010390 -7.07106781 0.09972159)
d(Edge)/d(thick_r) check complete with 21 total errors (errmax= 4.0161e-04)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 1.3189e-10)
*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "camber_r" for ibody=8
iface= 1, ipnt= 253 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.67240209 2.32019413 0.56219404)
iface= 1, ipnt= 254 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.57341882 3.88080089 0.58943453)
iface= 1, ipnt= 256 (Z): anal= 3.76178221, fd= 3.76116123, err= 0.00062098 (at 1.77726466 0.55242717 0.53149593)
iface= 1, ipnt= 258 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 4.34685796 5.22043678 0.61281797)
iface= 1, ipnt= 261 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.96412519 4.55752418 0.60124678)
iface= 1, ipnt= 264 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.27372211 1.62966016 0.55014073)
iface= 1, ipnt= 269 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 5.07245551 6.47720860 0.63475500)
iface= 1, ipnt= 271 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.15081805 3.14883488 0.57665802)
iface= 1, ipnt= 275 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 1.97072534 1.10485435 0.54098021)
iface= 1, ipnt= 279 (Z): anal= 3.75043366, fd= 3.75076301, err= -0.00032935 (at 2.67610927 1.89206307 0.55032591)
...too many errors to list
iface= 2, ipnt= 225 (Z): anal= 3.76514527, fd= 3.76484024, err= 0.00030503 (at 1.88456453 0.63529125 0.09427194)
iface= 2, ipnt= 228 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.02575888 2.81737858 0.12659951)
iface= 2, ipnt= 244 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 4.68426756 5.68999988 0.17674130)
iface= 2, ipnt= 256 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.35267646 3.38361643 0.13648323)
iface= 2, ipnt= 274 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.59119771 2.06469656 0.11346139)
iface= 2, ipnt= 278 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.71148843 4.00509700 0.14733121)
iface= 2, ipnt= 280 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.33205573 1.61584948 0.10562674)
iface= 2, ipnt= 287 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 4.43309918 5.25496348 0.16914771)
iface= 2, ipnt= 292 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.99056441 4.48847078 0.15576853)
iface= 2, ipnt= 325 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.53208245 3.69435672 0.14190722)
...too many errors to list
iface= 5, ipnt= 253 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 4.40267316 -5.31711154 0.61450543)
iface= 5, ipnt= 257 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.98804599 -4.59895621 0.60196998)
iface= 5, ipnt= 259 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.59733962 -3.92223293 0.59015773)
iface= 5, ipnt= 265 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 5.08042911 -6.49101928 0.63499607)
iface= 5, ipnt= 266 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 1.75543815 -0.73196600 0.53447142)
iface= 5, ipnt= 267 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 3.15879165 -3.16264556 0.57689909)
iface= 5, ipnt= 273 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.85579487 -2.63783975 0.56773857)
iface= 5, ipnt= 278 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 4.67377554 -5.78667464 0.62270168)
iface= 5, ipnt= 279 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.28966931 -1.65728152 0.55062286)
iface= 5, ipnt= 284 (Z): anal= 3.72106396, fd= 3.72121390, err= -0.00014994 (at 2.54482450 -2.09922326 0.55833698)
...too many errors to list
iface= 6, ipnt= 228 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.02575888 -2.81737858 0.12659951)
iface= 6, ipnt= 235 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 1.67024698 -0.46956310 0.08561824)
iface= 6, ipnt= 237 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 4.68426756 -5.68999988 0.17674130)
iface= 6, ipnt= 244 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 5.14673633 -6.49101928 0.19072314)
iface= 6, ipnt= 252 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.59119771 -2.06469656 0.11346139)
iface= 6, ipnt= 257 (Z): anal= 3.75623407, fd= 3.75572550, err= 0.00050857 (at 2.06444072 -1.04961163 0.09891682)
iface= 6, ipnt= 261 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.35267646 -3.38361643 0.13648323)
iface= 6, ipnt= 275 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 3.71148843 -4.00509700 0.14733121)
iface= 6, ipnt= 283 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 2.33205573 -1.61584948 0.10562674)
iface= 6, ipnt= 284 (Z): anal= 3.73210668, fd= 3.73227187, err= -0.00016519 (at 4.24970639 -4.93731786 0.16360318)
...too many errors to list
d(Face)/d(camber_r) check complete with 148 total errors (errmax= 7.6824e-04)
iedge= 3, ipnt= 9 (Z): anal= 3.75859778, fd= 3.75892785, err= -0.00033007 (at 1.58372615 0.00000000 0.51729982)
iedge= 3, ipnt= 10 (Z): anal= 3.72113176, fd= 3.72128170, err= -0.00014994 (at 1.33283738 0.00000000 0.52169490)
iedge= 4, ipnt= 9 (Z): anal= 3.75859778, fd= 3.75892785, err= -0.00033007 (at 5.66620905 7.07106781 0.64072577)
iedge= 4, ipnt= 10 (Z): anal= 3.72113176, fd= 3.72128170, err= -0.00014994 (at 5.41532029 7.07106781 0.64512085)
iedge= 6, ipnt= 10 (Z): anal= 3.73317042, fd= 3.73333565, err= -0.00016523 (at 1.39914460 0.00000000 0.07742198)
iedge= 7, ipnt= 10 (Z): anal= 3.73317042, fd= 3.73333565, err= -0.00016523 (at 5.48162751 7.07106781 0.20084793)
iedge= 12, ipnt= 9 (Z): anal= 3.75859778, fd= 3.75892785, err= -0.00033007 (at 5.66620905 -7.07106781 0.64072577)
iedge= 12, ipnt= 10 (Z): anal= 3.72113176, fd= 3.72128170, err= -0.00014994 (at 5.41532029 -7.07106781 0.64512085)
iedge= 14, ipnt= 10 (Z): anal= 3.73317042, fd= 3.73333565, err= -0.00016523 (at 5.48162751 -7.07106781 0.20084793)
d(Edge)/d(camber_r) check complete with 9 total errors (errmax= 3.3007e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9076e-08)
*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "thick_t" for ibody=8
d(Face)/d(thick_t) check complete with 0 total errors (errmax= 7.3751e-10)
d(Edge)/d(thick_t) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(thick_t) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "camber_t" for ibody=8
d(Face)/d(camber_t) check complete with 0 total errors (errmax= 7.3751e-10)
d(Edge)/d(camber_t) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.059 sec
Sensitivity checks complete with 2480 total errors (max config err= 7.6824e-04) with 0 suppressions
real 0m1.281s
user 0m1.776s
sys 0m0.004s
++++ set +x
data/basic/designG0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 115 / 180 )
data/basic/designG1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "area" for ibody=12
d(Face)/d(area) check complete with 0 total errors (errmax= 1.0235e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3644e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 2.1185e-09)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "aspect" for ibody=12
d(Face)/d(aspect) check complete with 0 total errors (errmax= 8.1879e-06)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.0915e-05)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.6347e-08)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "taper" for ibody=12
d(Face)/d(taper) check complete with 0 total errors (errmax= 5.4584e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-05)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6761e-06)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "twist" for ibody=12
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.8188e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.5908e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 3.1632e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "lesweep" for ibody=12
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 2.0805e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.8561e-09)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "dihedral" for ibody=12
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.2393e-09)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.1481e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 5.9758e-11)
*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "thick_r" for ibody=12
iface= 1, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, err= -0.00180231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12578 total errors (errmax= 8.8534e-02)
iedge= 2, ipnt= 10 (Z): anal= 1.86448478, fd= 1.86460299, err= -0.00011821 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= -0.29903029, fd= -0.29927556, err= 0.00024528 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 17 (Z): anal= 0.14752408, fd= 0.14764509, err= -0.00012101 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= -0.12260803, fd= -0.12232750, err= -0.00028053 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.03596726, fd= -0.03702219, err= 0.00105493 (at -0.00365869 0.00000000 0.01526638)
iedge= 2, ipnt= 19 (Z): anal= -0.00356489, fd= -0.00366945, err= 0.00010456 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= -0.02585562, fd= -0.02660262, err= 0.00074699 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= -0.01947703, fd= -0.02003974, err= 0.00056271 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (Z): anal= -0.08572519, fd= -0.08560792, err= -0.00011727 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 3 (Z): anal= -0.28611168, fd= -0.28621794, err= 0.00010627 (at 0.04320848 -0.00000000 -0.03874123)
iedge= 5, ipnt= 4 (Z): anal= -0.62459307, fd= -0.62442743, err= -0.00016563 (at 0.10074139 -0.00000000 -0.05298982)
d(Edge)/d(thick_r) check complete with 11 total errors (errmax= 1.0549e-03)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 1.3189e-10)
*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "camber_r" for ibody=12
iface= 1, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504838 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10740 total errors (errmax= 4.2443e-02)
iedge= 2, ipnt= 10 (Z): anal= 3.72128581, fd= 3.72139462, err= -0.00010881 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 18 (X): anal= -0.11616943, fd= -0.11631253, err= 0.00014310 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.06285106, fd= -0.06273477, err= -0.00011629 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.05364008, fd= 0.05346416, err= 0.00017592 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.04040705, fd= 0.04027453, err= 0.00013252 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 10 (Z): anal= 3.73338864, fd= 3.73311343, err= 0.00027521 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_r) check complete with 6 total errors (errmax= 2.7521e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9071e-08)
*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "thick_t" for ibody=12
iface= 1, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670405, err= -0.01794556 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12755 total errors (errmax= 9.5213e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011047, err= 0.00011047 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= 0.00000000, fd= 0.00010794, err= -0.00010794 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= 0.00022683, err= -0.00022683 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= 0.00000000, fd= 0.00048995, err= -0.00048995 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00030852, err= -0.00030852 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00023241, err= -0.00023241 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= 0.00013349, err= -0.00013349 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= 0.00015827, err= -0.00015827 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00011653, err= 0.00011653 (at 0.10074139 -0.00000000 -0.05298982)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00014201, err= 0.00014201 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(thick_t) check complete with 10 total errors (errmax= 4.8995e-04)
d(Node)/d(thick_t) check complete with 0 total errors (errmax= 4.9056e-10)
*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "camber_t" for ibody=12
iface= 1, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891636, err= 0.00724061 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 1.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12429 total errors (errmax= 2.9023e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011291, err= 0.00011291 (at 1.33283737 0.00000000 0.52169448)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00017164, err= -0.00017164 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_t) check complete with 2 total errors (errmax= 1.7164e-04)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 2.1285e-08)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.958 sec
Sensitivity checks complete with 48531 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m4.750s
user 0m5.416s
sys 0m0.004s
++++ set +x
data/basic/designG1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 116 / 180 )
data/basic/designG2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "area" for ibody=17
d(Face)/d(area) check complete with 0 total errors (errmax= 1.0235e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3644e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 2.1185e-09)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "area" for ibody=19
d(Face)/d(area) check complete with 0 total errors (errmax= 1.0523e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3640e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 2.6870e-09)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "aspect" for ibody=17
d(Face)/d(aspect) check complete with 0 total errors (errmax= 8.1879e-06)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.0915e-05)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.6347e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "aspect" for ibody=19
d(Face)/d(aspect) check complete with 0 total errors (errmax= 8.4181e-06)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.0916e-05)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.7235e-08)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "taper" for ibody=17
d(Face)/d(taper) check complete with 0 total errors (errmax= 5.4584e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-05)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6761e-06)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "taper" for ibody=19
d(Face)/d(taper) check complete with 0 total errors (errmax= 5.6060e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-05)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6765e-06)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "twist" for ibody=17
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.8188e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.5908e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 3.1632e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "twist" for ibody=19
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.8752e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 6.3577e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.0048e-09)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "lesweep" for ibody=17
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 2.0805e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.8561e-09)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "lesweep" for ibody=19
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 3.7418e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 3.4593e-09)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "dihedral" for ibody=17
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.2393e-09)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.1481e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 5.9758e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "dihedral" for ibody=19
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 2.6061e-09)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.1481e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 5.9758e-11)
*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "thick_r" for ibody=17
iface= 1, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, err= -0.00180231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12578 total errors (errmax= 8.8534e-02)
iedge= 2, ipnt= 10 (Z): anal= 1.86448478, fd= 1.86460299, err= -0.00011821 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= -0.29903029, fd= -0.29927556, err= 0.00024528 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 17 (Z): anal= 0.14752408, fd= 0.14764509, err= -0.00012101 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= -0.12260803, fd= -0.12232750, err= -0.00028053 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.03596726, fd= -0.03702219, err= 0.00105493 (at -0.00365869 0.00000000 0.01526638)
iedge= 2, ipnt= 19 (Z): anal= -0.00356489, fd= -0.00366945, err= 0.00010456 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= -0.02585562, fd= -0.02660262, err= 0.00074699 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= -0.01947703, fd= -0.02003974, err= 0.00056271 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (Z): anal= -0.08572519, fd= -0.08560792, err= -0.00011727 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 3 (Z): anal= -0.28611168, fd= -0.28621794, err= 0.00010627 (at 0.04320848 -0.00000000 -0.03874123)
iedge= 5, ipnt= 4 (Z): anal= -0.62459307, fd= -0.62442743, err= -0.00016563 (at 0.10074139 -0.00000000 -0.05298982)
d(Edge)/d(thick_r) check complete with 11 total errors (errmax= 1.0549e-03)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 1.3189e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "thick_r" for ibody=19
iface= 1, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480246 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, err= -0.00180231 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 9.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480246 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12519 total errors (errmax= 8.8556e-02)
iedge= 2, ipnt= 10 (Z): anal= 1.86448478, fd= 1.86460299, err= -0.00011821 (at 6.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= -0.29903029, fd= -0.29927556, err= 0.00024528 (at 5.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 17 (Z): anal= 0.14752408, fd= 0.14764509, err= -0.00012100 (at 5.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= -0.12260803, fd= -0.12232750, err= -0.00028053 (at 4.99670841 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.03596726, fd= -0.03702219, err= 0.00105493 (at 4.99634131 0.00000000 0.01526638)
iedge= 2, ipnt= 19 (Z): anal= -0.00356489, fd= -0.00366945, err= 0.00010456 (at 4.99634131 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= -0.02585562, fd= -0.02660262, err= 0.00074700 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= -0.01947703, fd= -0.02003974, err= 0.00056271 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (Z): anal= -0.08572519, fd= -0.08560792, err= -0.00011727 (at 5.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 3 (Z): anal= -0.28611168, fd= -0.28621794, err= 0.00010627 (at 5.04320848 -0.00000000 -0.03874123)
iedge= 5, ipnt= 4 (Z): anal= -0.62459307, fd= -0.62442743, err= -0.00016563 (at 5.10074139 -0.00000000 -0.05298982)
d(Edge)/d(thick_r) check complete with 11 total errors (errmax= 1.0549e-03)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 1.0201e-09)
*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "camber_r" for ibody=17
iface= 1, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504838 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10740 total errors (errmax= 4.2443e-02)
iedge= 2, ipnt= 10 (Z): anal= 3.72128581, fd= 3.72139462, err= -0.00010881 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 18 (X): anal= -0.11616943, fd= -0.11631253, err= 0.00014310 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.06285106, fd= -0.06273477, err= -0.00011629 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.05364008, fd= 0.05346416, err= 0.00017592 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.04040705, fd= 0.04027453, err= 0.00013252 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 10 (Z): anal= 3.73338864, fd= 3.73311343, err= 0.00027521 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_r) check complete with 6 total errors (errmax= 2.7521e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9071e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "camber_r" for ibody=19
iface= 1, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 9.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504837 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10733 total errors (errmax= 4.2871e-02)
iedge= 2, ipnt= 10 (Z): anal= 3.72128581, fd= 3.72139462, err= -0.00010881 (at 6.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 18 (X): anal= -0.11616943, fd= -0.11631253, err= 0.00014310 (at 4.99670841 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.06285106, fd= -0.06273477, err= -0.00011629 (at 4.99634131 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.05364008, fd= 0.05346416, err= 0.00017592 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.04040705, fd= 0.04027453, err= 0.00013252 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 10 (Z): anal= 3.73338864, fd= 3.73311343, err= 0.00027521 (at 6.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_r) check complete with 6 total errors (errmax= 2.7521e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9071e-08)
*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "thick_t" for ibody=17
iface= 1, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670405, err= -0.01794556 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12755 total errors (errmax= 9.5213e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011047, err= 0.00011047 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= 0.00000000, fd= 0.00010794, err= -0.00010794 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= 0.00022683, err= -0.00022683 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= 0.00000000, fd= 0.00048995, err= -0.00048995 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00030852, err= -0.00030852 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00023241, err= -0.00023241 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= 0.00013349, err= -0.00013349 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= 0.00015827, err= -0.00015827 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00011653, err= 0.00011653 (at 0.10074139 -0.00000000 -0.05298982)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00014201, err= 0.00014201 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(thick_t) check complete with 10 total errors (errmax= 4.8995e-04)
d(Node)/d(thick_t) check complete with 0 total errors (errmax= 4.9056e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "thick_t" for ibody=19
iface= 1, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291636, err= 0.00279058 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291636, err= 0.00279058 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670404, err= -0.01794556 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12697 total errors (errmax= 9.5213e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011047, err= 0.00011047 (at 6.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= 0.00000000, fd= 0.00010795, err= -0.00010795 (at 5.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= 0.00022683, err= -0.00022683 (at 4.99670841 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= 0.00000000, fd= 0.00048995, err= -0.00048995 (at 4.99634131 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00030852, err= -0.00030852 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00023241, err= -0.00023241 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= 0.00013349, err= -0.00013349 (at 5.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= 0.00015827, err= -0.00015827 (at 5.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00011653, err= 0.00011653 (at 5.10074139 -0.00000000 -0.05298982)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00014201, err= 0.00014201 (at 6.39914526 0.00000000 0.07740409)
d(Edge)/d(thick_t) check complete with 10 total errors (errmax= 4.8995e-04)
d(Node)/d(thick_t) check complete with 0 total errors (errmax= 3.9762e-10)
*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "camber_t" for ibody=17
iface= 1, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891636, err= 0.00724061 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 1.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12429 total errors (errmax= 2.9023e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011291, err= 0.00011291 (at 1.33283737 0.00000000 0.52169448)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00017164, err= -0.00017164 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_t) check complete with 2 total errors (errmax= 1.7164e-04)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 2.1285e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "camber_t" for ibody=19
iface= 1, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891636, err= 0.00724061 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 6.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12397 total errors (errmax= 2.9023e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011291, err= 0.00011291 (at 6.33283737 0.00000000 0.52169448)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00017164, err= -0.00017164 (at 6.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_t) check complete with 2 total errors (errmax= 1.7164e-04)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 2.1285e-08)
*********************************************************
Starting configuration sensitivity wrt "dxwing"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "dxwing" for ibody=17
d(Face)/d(dxwing) check complete with 0 total errors (errmax= 1.2305e-09)
d(Edge)/d(dxwing) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(dxwing) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "dxwing" for ibody=19
d(Face)/d(dxwing) check complete with 0 total errors (errmax= 2.7481e-09)
d(Edge)/d(dxwing) check complete with 0 total errors (errmax= 2.3148e-09)
d(Node)/d(dxwing) check complete with 0 total errors (errmax= 1.0280e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.967 sec
Sensitivity checks complete with 96906 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m11.458s
user 0m12.580s
sys 0m0.008s
++++ set +x
data/basic/designG2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 117 / 180 )
data/basic/designG3.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "area" for ibody=12
d(Face)/d(area) check complete with 0 total errors (errmax= 1.0235e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3644e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 2.1185e-09)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "aspect" for ibody=12
d(Face)/d(aspect) check complete with 0 total errors (errmax= 8.1879e-06)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.0915e-05)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.6347e-08)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "taper" for ibody=12
d(Face)/d(taper) check complete with 0 total errors (errmax= 5.4584e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-05)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6761e-06)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "twist" for ibody=12
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.8188e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.5908e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 3.1632e-10)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "lesweep" for ibody=12
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 2.0805e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.8561e-09)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "dihedral" for ibody=12
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.2393e-09)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.1481e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 5.9758e-11)
*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "thick_r" for ibody=12
iface= 1, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, err= -0.00180231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12578 total errors (errmax= 8.8534e-02)
iedge= 2, ipnt= 10 (Z): anal= 1.86448478, fd= 1.86460299, err= -0.00011821 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= -0.29903029, fd= -0.29927556, err= 0.00024528 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 17 (Z): anal= 0.14752408, fd= 0.14764509, err= -0.00012101 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= -0.12260803, fd= -0.12232750, err= -0.00028053 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.03596726, fd= -0.03702219, err= 0.00105493 (at -0.00365869 0.00000000 0.01526638)
iedge= 2, ipnt= 19 (Z): anal= -0.00356489, fd= -0.00366945, err= 0.00010456 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= -0.02585562, fd= -0.02660262, err= 0.00074699 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= -0.01947703, fd= -0.02003974, err= 0.00056271 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (Z): anal= -0.08572519, fd= -0.08560792, err= -0.00011727 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 3 (Z): anal= -0.28611168, fd= -0.28621794, err= 0.00010627 (at 0.04320848 -0.00000000 -0.03874123)
iedge= 5, ipnt= 4 (Z): anal= -0.62459307, fd= -0.62442743, err= -0.00016563 (at 0.10074139 -0.00000000 -0.05298982)
d(Edge)/d(thick_r) check complete with 11 total errors (errmax= 1.0549e-03)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 1.3189e-10)
*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "camber_r" for ibody=12
iface= 1, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504838 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10740 total errors (errmax= 4.2443e-02)
iedge= 2, ipnt= 10 (Z): anal= 3.72128581, fd= 3.72139462, err= -0.00010881 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 18 (X): anal= -0.11616943, fd= -0.11631253, err= 0.00014310 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.06285106, fd= -0.06273477, err= -0.00011629 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.05364008, fd= 0.05346416, err= 0.00017592 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.04040705, fd= 0.04027453, err= 0.00013252 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 10 (Z): anal= 3.73338864, fd= 3.73311343, err= 0.00027521 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_r) check complete with 6 total errors (errmax= 2.7521e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9071e-08)
*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "thick_t" for ibody=12
iface= 1, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670405, err= -0.01794556 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12755 total errors (errmax= 9.5213e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011047, err= 0.00011047 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= 0.00000000, fd= 0.00010794, err= -0.00010794 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= 0.00022683, err= -0.00022683 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= 0.00000000, fd= 0.00048995, err= -0.00048995 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00030852, err= -0.00030852 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00023241, err= -0.00023241 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= 0.00013349, err= -0.00013349 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= 0.00015827, err= -0.00015827 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00011653, err= 0.00011653 (at 0.10074139 -0.00000000 -0.05298982)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00014201, err= 0.00014201 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(thick_t) check complete with 10 total errors (errmax= 4.8995e-04)
d(Node)/d(thick_t) check complete with 0 total errors (errmax= 4.9056e-10)
*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "camber_t" for ibody=12
iface= 1, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891636, err= 0.00724061 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 1.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12429 total errors (errmax= 2.9023e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011291, err= 0.00011291 (at 1.33283737 0.00000000 0.52169448)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00017164, err= -0.00017164 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_t) check complete with 2 total errors (errmax= 1.7164e-04)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 2.1285e-08)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.041 sec
Sensitivity checks complete with 48531 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m4.822s
user 0m5.384s
sys 0m0.020s
++++ set +x
data/basic/designG3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 118 / 180 )
data/basic/designG4.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "area" for ibody=17
d(Face)/d(area) check complete with 0 total errors (errmax= 1.0235e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3644e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 2.1185e-09)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "area" for ibody=19
d(Face)/d(area) check complete with 0 total errors (errmax= 1.0523e-06)
d(Edge)/d(area) check complete with 0 total errors (errmax= 1.3640e-06)
d(Node)/d(area) check complete with 0 total errors (errmax= 2.6870e-09)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "aspect" for ibody=17
d(Face)/d(aspect) check complete with 0 total errors (errmax= 8.1879e-06)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.0915e-05)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.6347e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "aspect" for ibody=19
d(Face)/d(aspect) check complete with 0 total errors (errmax= 8.4181e-06)
d(Edge)/d(aspect) check complete with 0 total errors (errmax= 1.0916e-05)
d(Node)/d(aspect) check complete with 0 total errors (errmax= 5.7235e-08)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "taper" for ibody=17
d(Face)/d(taper) check complete with 0 total errors (errmax= 5.4584e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-05)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6761e-06)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "taper" for ibody=19
d(Face)/d(taper) check complete with 0 total errors (errmax= 5.6060e-05)
d(Edge)/d(taper) check complete with 0 total errors (errmax= 7.2769e-05)
d(Node)/d(taper) check complete with 0 total errors (errmax= 1.6765e-06)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "twist" for ibody=17
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.8188e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 4.5908e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 3.1632e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "twist" for ibody=19
d(Face)/d(twist) check complete with 0 total errors (errmax= 3.8752e-08)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 6.3577e-09)
d(Node)/d(twist) check complete with 0 total errors (errmax= 1.0048e-09)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "lesweep" for ibody=17
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 2.0805e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 2.8561e-09)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "lesweep" for ibody=19
d(Face)/d(lesweep) check complete with 0 total errors (errmax= 3.7418e-09)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 3.4593e-09)
d(Node)/d(lesweep) check complete with 0 total errors (errmax= 2.4940e-09)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "dihedral" for ibody=17
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 1.2393e-09)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.1481e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 5.9758e-11)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "dihedral" for ibody=19
d(Face)/d(dihedral) check complete with 0 total errors (errmax= 2.6061e-09)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 1.1481e-10)
d(Node)/d(dihedral) check complete with 0 total errors (errmax= 5.9758e-11)
*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "thick_r" for ibody=17
iface= 1, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, err= -0.00180231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480247 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12578 total errors (errmax= 8.8534e-02)
iedge= 2, ipnt= 10 (Z): anal= 1.86448478, fd= 1.86460299, err= -0.00011821 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= -0.29903029, fd= -0.29927556, err= 0.00024528 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 17 (Z): anal= 0.14752408, fd= 0.14764509, err= -0.00012101 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= -0.12260803, fd= -0.12232750, err= -0.00028053 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.03596726, fd= -0.03702219, err= 0.00105493 (at -0.00365869 0.00000000 0.01526638)
iedge= 2, ipnt= 19 (Z): anal= -0.00356489, fd= -0.00366945, err= 0.00010456 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= -0.02585562, fd= -0.02660262, err= 0.00074699 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= -0.01947703, fd= -0.02003974, err= 0.00056271 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (Z): anal= -0.08572519, fd= -0.08560792, err= -0.00011727 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 3 (Z): anal= -0.28611168, fd= -0.28621794, err= 0.00010627 (at 0.04320848 -0.00000000 -0.03874123)
iedge= 5, ipnt= 4 (Z): anal= -0.62459307, fd= -0.62442743, err= -0.00016563 (at 0.10074139 -0.00000000 -0.05298982)
d(Edge)/d(thick_r) check complete with 11 total errors (errmax= 1.0549e-03)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 1.3189e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "thick_r" for ibody=19
iface= 1, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.32219741, fd= 0.32094650, err= 0.00125091 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480246 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.38611413, fd= -0.38431181, err= -0.00180231 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.25892089, fd= 0.25771229, err= 0.00120860 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 1.59532551, fd= 1.58787882, err= 0.00744669 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.30165987, fd= -0.29983241, err= -0.00182746 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.22123516, fd= 0.21989491, err= 0.00134025 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 1.62516123, fd= 1.61531596, err= 0.00984527 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.07644307, fd= -0.07595407, err= -0.00048900 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.01839812, fd= -0.01854501, err= 0.00014689 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.13477549, fd= -0.13585157, err= 0.00107607 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.02489806, fd= -0.02508212, err= 0.00018406 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.19945778, fd= -0.20093229, err= 0.00147451 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.03226838, fd= -0.03248054, err= 0.00021216 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.29685250, fd= -0.29880425, err= 0.00195175 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.03710184, fd= -0.03731816, err= 0.00021632 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.39451452, fd= -0.39681476, err= 0.00230024 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.02294234, fd= -0.02562063, err= 0.00267828 (at 9.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= 0.00928336, fd= 0.01036709, err= -0.00108374 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.54759167, fd= -0.54546567, err= -0.00212599 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.32219741, fd= -0.32094650, err= -0.00125091 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.23697042, fd= 1.23216795, err= 0.00480246 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.44767278, fd= -0.44546007, err= -0.00221272 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.28330424, fd= -0.28190395, err= -0.00140029 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 1.50053358, fd= 1.49311688, err= 0.00741670 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.22342978, fd= -0.22196900, err= -0.00146078 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.18734653, fd= -0.18612166, err= -0.00122487 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 1.64887115, fd= 1.63809086, err= 0.01078029 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.07183492, fd= -0.07132289, err= -0.00051202 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.02659171, fd= -0.02678377, err= 0.00019206 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.21890640, fd= -0.22048749, err= 0.00158109 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.03342734, fd= -0.03364196, err= 0.00021462 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.31636900, fd= -0.31840023, err= 0.00203122 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.03147899, fd= -0.03498630, err= 0.00350731 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.01254800, fd= -0.01394607, err= 0.00139807 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.11256845, fd= -0.12511054, err= 0.01254209 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.05405948, fd= -0.05916320, err= 0.00510371 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.02012749, fd= -0.02202771, err= 0.00190022 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.24475803, fd= -0.26786545, err= 0.02310741 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_r) check complete with 12519 total errors (errmax= 8.8556e-02)
iedge= 2, ipnt= 10 (Z): anal= 1.86448478, fd= 1.86460299, err= -0.00011821 (at 6.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= -0.29903029, fd= -0.29927556, err= 0.00024528 (at 5.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 17 (Z): anal= 0.14752408, fd= 0.14764509, err= -0.00012100 (at 5.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= -0.12260803, fd= -0.12232750, err= -0.00028053 (at 4.99670841 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.03596726, fd= -0.03702219, err= 0.00105493 (at 4.99634131 0.00000000 0.01526638)
iedge= 2, ipnt= 19 (Z): anal= -0.00356489, fd= -0.00366945, err= 0.00010456 (at 4.99634131 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= -0.02585562, fd= -0.02660262, err= 0.00074700 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= -0.01947703, fd= -0.02003974, err= 0.00056271 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (Z): anal= -0.08572519, fd= -0.08560792, err= -0.00011727 (at 5.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 3 (Z): anal= -0.28611168, fd= -0.28621794, err= 0.00010627 (at 5.04320848 -0.00000000 -0.03874123)
iedge= 5, ipnt= 4 (Z): anal= -0.62459307, fd= -0.62442743, err= -0.00016563 (at 5.10074139 -0.00000000 -0.05298982)
d(Edge)/d(thick_r) check complete with 11 total errors (errmax= 1.0549e-03)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 1.0201e-09)
*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "camber_r" for ibody=17
iface= 1, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 4.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504838 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10740 total errors (errmax= 4.2443e-02)
iedge= 2, ipnt= 10 (Z): anal= 3.72128581, fd= 3.72139462, err= -0.00010881 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 18 (X): anal= -0.11616943, fd= -0.11631253, err= 0.00014310 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.06285106, fd= -0.06273477, err= -0.00011629 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.05364008, fd= 0.05346416, err= 0.00017592 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.04040705, fd= 0.04027453, err= 0.00013252 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 10 (Z): anal= 3.73338864, fd= 3.73311343, err= 0.00027521 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_r) check complete with 6 total errors (errmax= 2.7521e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9071e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "camber_r" for ibody=19
iface= 1, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.36380297, fd= 0.36321891, err= 0.00058407 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.59377273, fd= -0.59240229, err= -0.00137044 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.39817285, fd= 0.39725386, err= 0.00091899 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 2.45331815, fd= 2.44765583, err= 0.00566231 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.49837389, fd= -0.49687211, err= -0.00150178 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.36550379, fd= 0.36440240, err= 0.00110139 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 2.68493756, fd= 2.67684689, err= 0.00809067 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.14740912, fd= -0.14696325, err= -0.00044587 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.04021037, fd= 0.04056111, err= -0.00035074 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 0.29456128, fd= 0.29713063, err= -0.00256935 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.05446346, fd= 0.05490297, err= -0.00043952 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 0.43630551, fd= 0.43982647, err= -0.00352096 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.07066994, fd= 0.07117661, err= -0.00050667 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 0.65012711, fd= 0.65478822, err= -0.00466111 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.08134366, fd= 0.08186035, err= -0.00051669 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 0.86495064, fd= 0.87044475, err= -0.00549411 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.04402716, fd= 0.04201482, err= 0.00201233 (at 9.27194911 6.72580083 -0.15439755)
iface= 2, ipnt= 196 (Y): anal= -0.01781508, fd= -0.01700082, err= -0.00081427 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.61830253, fd= -0.61730988, err= -0.00099265 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.36380297, fd= -0.36321891, err= -0.00058407 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 1.39670121, fd= 1.39445888, err= 0.00224233 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.63253962, fd= -0.63103348, err= -0.00150614 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.40029496, fd= -0.39934182, err= -0.00095314 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 2.12018015, fd= 2.11513178, err= 0.00504837 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.39225216, fd= -0.39098668, err= -0.00126548 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.32890460, fd= -0.32784350, err= -0.00106111 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 2.89474969, fd= 2.88541070, err= 0.00933899 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.13852817, fd= -0.13806131, err= -0.00046685 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.05818267, fd= 0.05864131, err= -0.00045863 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 0.47896730, fd= 0.48274282, err= -0.00377552 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.07322462, fd= 0.07373718, err= -0.00051256 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 0.69302548, fd= 0.69787650, err= -0.00485102 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.06007751, fd= 0.05744229, err= 0.00263522 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.02394780, fd= 0.02289736, err= 0.00105044 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 0.21483639, fd= 0.20541287, err= 0.00942352 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.10135174, fd= 0.09751707, err= 0.00383468 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.03773539, fd= 0.03630766, err= 0.00142773 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 0.45887700, fd= 0.44151523, err= 0.01736177 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_r) check complete with 10733 total errors (errmax= 4.2871e-02)
iedge= 2, ipnt= 10 (Z): anal= 3.72128581, fd= 3.72139462, err= -0.00010881 (at 6.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 18 (X): anal= -0.11616943, fd= -0.11631253, err= 0.00014310 (at 4.99670841 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= -0.06285106, fd= -0.06273477, err= -0.00011629 (at 4.99634131 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.05364008, fd= 0.05346416, err= 0.00017592 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.04040705, fd= 0.04027453, err= 0.00013252 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 10 (Z): anal= 3.73338864, fd= 3.73311343, err= 0.00027521 (at 6.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_r) check complete with 6 total errors (errmax= 2.7521e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9071e-08)
*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "thick_t" for ibody=17
iface= 1, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291635, err= 0.00279058 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670405, err= -0.01794556 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12755 total errors (errmax= 9.5213e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011047, err= 0.00011047 (at 1.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= 0.00000000, fd= 0.00010794, err= -0.00010794 (at 0.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= 0.00022683, err= -0.00022683 (at -0.00329159 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= 0.00000000, fd= 0.00048995, err= -0.00048995 (at -0.00365869 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00030852, err= -0.00030852 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00023241, err= -0.00023241 (at 0.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= 0.00013349, err= -0.00013349 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= 0.00015827, err= -0.00015827 (at 0.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00011653, err= 0.00011653 (at 0.10074139 -0.00000000 -0.05298982)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00014201, err= 0.00014201 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(thick_t) check complete with 10 total errors (errmax= 4.8995e-04)
d(Node)/d(thick_t) check complete with 0 total errors (errmax= 4.9056e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "thick_t" for ibody=19
iface= 1, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291636, err= 0.00279058 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.00595790, fd= 0.00759985, err= -0.00164195 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.01196140, fd= -0.01415552, err= 0.00219412 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.00802109, fd= 0.00949243, err= -0.00147133 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.04942148, fd= 0.05848702, err= -0.00906554 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.01338012, fd= -0.01549882, err= 0.00211870 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.00981288, fd= 0.01136672, err= -0.00155384 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.07208401, fd= 0.08349830, err= -0.01141430 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00447708, fd= -0.00494562, err= 0.00046854 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= -0.10421103, fd= -0.10356413, err= -0.00064690 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= -0.76339842, fd= -0.75865955, err= -0.00473887 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= -0.09124044, fd= -0.09042983, err= -0.00081062 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= -0.73092509, fd= -0.72443127, err= -0.00649382 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= -0.07411864, fd= -0.07318423, err= -0.00093442 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= -0.68185339, fd= -0.67325723, err= -0.00859616 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= -0.05948509, fd= -0.05853226, err= -0.00095283 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= -0.00751097, fd= -0.00739066, err= -0.00012031 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= -0.63252212, fd= -0.62239041, err= -0.01013171 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= -0.24648677, fd= -0.24265460, err= -0.00383217 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01012577, fd= -0.01291636, err= 0.00279058 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.00595790, fd= -0.00759985, err= 0.00164195 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.02287340, fd= 0.02917712, err= -0.00630372 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.01337708, fd= -0.01617786, err= 0.00280077 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Y): anal= -0.00846552, fd= -0.01023796, err= 0.00177243 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.04483803, fd= 0.05422581, err= -0.00938778 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.01162918, fd= -0.01322894, err= 0.00159977 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.00975110, fd= -0.01109251, err= 0.00134141 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.08582123, fd= 0.09762721, err= -0.01180598 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00472367, fd= -0.00521428, err= 0.00049060 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= -0.08760070, fd= -0.08675483, err= -0.00084586 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= -0.72114026, fd= -0.71417700, err= -0.00696326 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= -0.07100335, fd= -0.07005809, err= -0.00094526 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= -0.67200253, fd= -0.66305624, err= -0.00894628 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= -0.22781115, fd= -0.22279279, err= -0.00501835 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= -0.09080896, fd= -0.08880857, err= -0.00200039 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= -0.81464961, fd= -0.79670404, err= -0.01794556 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= -0.16817803, fd= -0.16087551, err= -0.00730252 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= -0.06261623, fd= -0.05989735, err= -0.00271888 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= -0.76143762, fd= -0.72837493, err= -0.03306268 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(thick_t) check complete with 12697 total errors (errmax= 9.5213e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011047, err= 0.00011047 (at 6.33283737 0.00000000 0.52169448)
iedge= 2, ipnt= 17 (X): anal= 0.00000000, fd= 0.00010795, err= -0.00010795 (at 5.00651844 0.00000000 0.06077083)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= 0.00022683, err= -0.00022683 (at 4.99670841 0.00000000 0.03099117)
iedge= 2, ipnt= 19 (X): anal= 0.00000000, fd= 0.00048995, err= -0.00048995 (at 4.99634131 0.00000000 0.01526638)
iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00030852, err= -0.00030852 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00023241, err= -0.00023241 (at 5.00734803 -0.00000000 -0.01292202)
iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= 0.00013349, err= -0.00013349 (at 5.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= 0.00015827, err= -0.00015827 (at 5.01761478 -0.00000000 -0.02371210)
iedge= 5, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00011653, err= 0.00011653 (at 5.10074139 -0.00000000 -0.05298982)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00014201, err= 0.00014201 (at 6.39914526 0.00000000 0.07740409)
d(Edge)/d(thick_t) check complete with 10 total errors (errmax= 4.8995e-04)
d(Node)/d(thick_t) check complete with 0 total errors (errmax= 3.9762e-10)
*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "camber_t" for ibody=17
iface= 1, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 0.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 1.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 1.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891636, err= 0.00724061 (at 4.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 4.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 4.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 4.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 4.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 0.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 0.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 1.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 1.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 1.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 4.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 4.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 4.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 3.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 3.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12429 total errors (errmax= 2.9023e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011291, err= 0.00011291 (at 1.33283737 0.00000000 0.52169448)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00017164, err= -0.00017164 (at 1.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_t) check complete with 2 total errors (errmax= 1.7164e-04)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 2.1285e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "camber_t" for ibody=19
iface= 1, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Y): anal= 0.01019127, fd= 0.01004510, err= 0.00014617 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 5.54155443 0.33145630 0.31076186)
iface= 1, ipnt= 193 (X): anal= -0.02179883, fd= -0.02209782, err= 0.00029899 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Y): anal= 0.01461789, fd= 0.01481838, err= -0.00020049 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 193 (Z): anal= 0.09006724, fd= 0.09130258, err= -0.00123534 (at 5.96234821 0.46956310 0.42288190)
iface= 1, ipnt= 194 (X): anal= -0.02493554, fd= -0.02546473, err= 0.00052919 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Y): anal= 0.01828754, fd= 0.01867565, err= -0.00038810 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 194 (Z): anal= 0.13433763, fd= 0.13718857, err= -0.00285094 (at 6.16737044 0.63529125 0.44196147)
iface= 1, ipnt= 195 (X): anal= -0.00890658, fd= -0.00924375, err= 0.00033716 (at 6.59147803 0.77339804 0.47591427)
...too many errors to list
iface= 2, ipnt= 192 (X): anal= 0.22881113, fd= 0.22782271, err= 0.00098841 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 192 (Z): anal= 1.67615697, fd= 1.66891636, err= 0.00724061 (at 9.67249629 6.49101928 -0.24645685)
iface= 2, ipnt= 193 (X): anal= 0.20043340, fd= 0.19919592, err= 0.00123748 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 193 (Z): anal= 1.60566740, fd= 1.59575394, err= 0.00991346 (at 9.55340894 6.21480569 -0.23197744)
iface= 2, ipnt= 194 (X): anal= 0.16293521, fd= 0.16150958, err= 0.00142563 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 194 (Z): anal= 1.49892014, fd= 1.48580504, err= 0.01311510 (at 9.37477792 5.80048531 -0.21025831)
iface= 2, ipnt= 195 (X): anal= 0.13085028, fd= 0.12939699, err= 0.00145329 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Y): anal= 0.01652199, fd= 0.01633849, err= 0.00018350 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 195 (Z): anal= 1.39136877, fd= 1.37591554, err= 0.01545322 (at 9.19614690 5.38616493 -0.18853918)
iface= 2, ipnt= 196 (X): anal= 0.41072337, fd= 0.40976647, err= 0.00095690 (at 9.27194911 6.72580083 -0.15439755)
...too many errors to list
iface= 5, ipnt= 192 (X): anal= -0.01732060, fd= -0.01707217, err= -0.00024843 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Y): anal= -0.01019127, fd= -0.01004510, err= -0.00014617 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 192 (Z): anal= 0.03912600, fd= 0.03856482, err= 0.00056118 (at 5.54155443 -0.33145630 0.31076186)
iface= 5, ipnt= 193 (X): anal= -0.02380331, fd= -0.02392187, err= 0.00011856 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 193 (Z): anal= 0.07978520, fd= 0.08018259, err= -0.00039739 (at 5.84560853 -0.46956310 0.39140578)
iface= 5, ipnt= 194 (X): anal= -0.02217287, fd= -0.02278680, err= 0.00061393 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Y): anal= -0.01859202, fd= -0.01910680, err= 0.00051478 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 194 (Z): anal= 0.16363177, fd= 0.16816246, err= -0.00453069 (at 6.32786150 -0.71815532 0.45735620)
iface= 5, ipnt= 195 (X): anal= -0.00939492, fd= -0.00974793, err= 0.00035300 (at 6.63262161 -0.85626212 0.47159885)
iface= 5, ipnt= 195 (Y): anal= -0.01585335, fd= -0.01644902, err= 0.00059567 (at 6.63262161 -0.85626212 0.47159885)
...too many errors to list
iface= 6, ipnt= 192 (X): anal= 0.19246575, fd= 0.19117467, err= 0.00129109 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 192 (Z): anal= 1.58440296, fd= 1.57377457, err= 0.01062839 (at 9.51768274 -6.13194162 -0.22763361)
iface= 6, ipnt= 193 (X): anal= 0.15610761, fd= 0.15466555, err= 0.00144207 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 193 (Z): anal= 1.47746145, fd= 1.46381319, err= 0.01364826 (at 9.33905172 -5.71762124 -0.20591448)
iface= 6, ipnt= 194 (X): anal= 0.37792829, fd= 0.37667513, err= 0.00125316 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Y): anal= 0.15064792, fd= 0.15014839, err= 0.00049953 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 194 (Z): anal= 1.35146649, fd= 1.34698523, err= 0.00448127 (at 9.19638137 -6.57388336 -0.15019978)
iface= 6, ipnt= 195 (X): anal= 0.27491658, fd= 0.27309293, err= 0.00182365 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Y): anal= 0.10235724, fd= 0.10167826, err= 0.00067898 (at 8.92845938 -6.03526686 -0.13531681)
iface= 6, ipnt= 195 (Z): anal= 1.24470373, fd= 1.23644702, err= 0.00825670 (at 8.92845938 -6.03526686 -0.13531681)
...too many errors to list
d(Face)/d(camber_t) check complete with 12397 total errors (errmax= 2.9023e-02)
iedge= 2, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011291, err= 0.00011291 (at 6.33283737 0.00000000 0.52169448)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00017164, err= -0.00017164 (at 6.39914526 0.00000000 0.07740409)
d(Edge)/d(camber_t) check complete with 2 total errors (errmax= 1.7164e-04)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 2.1285e-08)
*********************************************************
Starting configuration sensitivity wrt "dxwing"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "dxwing" for ibody=17
d(Face)/d(dxwing) check complete with 0 total errors (errmax= 1.2305e-09)
d(Edge)/d(dxwing) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(dxwing) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "dxwing" for ibody=19
d(Face)/d(dxwing) check complete with 0 total errors (errmax= 2.7481e-09)
d(Edge)/d(dxwing) check complete with 0 total errors (errmax= 2.3148e-09)
d(Node)/d(dxwing) check complete with 0 total errors (errmax= 1.0280e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.843 sec
Sensitivity checks complete with 96906 total errors (max config err= 9.5213e-02) with 0 suppressions
real 0m11.341s
user 0m12.552s
sys 0m0.004s
++++ set +x
data/basic/designG4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 119 / 180 )
data/basic/designG5.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG5.csm
--> ocsmCheck() -> status=0 (success)
ERROR:: config error with .csen file
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "area" for ibody=12
d(Face)/d(area) check complete with 0 total errors (errmax= 6.7870e-07)
d(Edge)/d(area) check complete with 0 total errors (errmax= 5.2097e-07)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382668, err= -0.07382668 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.08848301, err= -0.08848301 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382668, err= -0.07382668 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.08848301, err= 0.08848301 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(area) check complete with 6 total errors (errmax= 8.8483e-02)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "aspect" for ibody=12
iface= 4, ipnt= 56 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.44964602, fd= 0.44874811, err= 0.00089791 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.29151483, fd= 0.29164395, err= -0.00012912 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.66038262, fd= 0.66067512, err= -0.00029250 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.67742089, fd= 0.67519090, err= 0.00222998 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.17994311, fd= 0.17964549, err= 0.00029762 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.70217815, fd= 0.70101678, err= 0.00116137 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (X): anal= 0.28678157, fd= 0.28690447, err= -0.00012290 (at 5.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 61 (Y): anal= 0.66335252, fd= 0.66363681, err= -0.00028429 (at 5.73190789 7.16589697 -0.31563807)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.30571635, fd= 0.30582966, err= -0.00011332 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.65066541, fd= -0.65090659, err= 0.00024118 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.44964602, fd= -0.44874811, err= -0.00089791 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.67410689, fd= -0.67425653, err= 0.00014965 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14705664, fd= 0.14673080, err= 0.00032583 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.70520030, fd= -0.70363779, err= -0.00156251 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.19485440, fd= 0.19602787, err= -0.00117347 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.14826216, fd= -0.14915504, err= 0.00089288 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(aspect) check complete with 3100 total errors (errmax= 4.1059e-03)
iedge= 9, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (Y): anal= 0.46802135, fd= 0.46815204, err= -0.00013069 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (Y): anal= 0.64729709, fd= 0.64741732, err= -0.00012023 (at 5.90629014 7.07849533 -0.36424482)
iedge= 18, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (Y): anal= -0.46802135, fd= -0.46815204, err= 0.00013069 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (Y): anal= -0.64729709, fd= -0.64741732, err= 0.00012023 (at 5.90629014 -7.07849533 -0.36424482)
d(Edge)/d(aspect) check complete with 8 total errors (errmax= 1.4830e-04)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.22626758, err= -0.22626758 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.70623919, err= -0.70623919 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= 0.06129524, err= -0.06129524 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.22626758, err= -0.22626758 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.70623919, err= 0.70623919 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= 0.06129524, err= -0.06129524 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(aspect) check complete with 6 total errors (errmax= 7.0624e-01)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "taper" for ibody=12
iface= 4, ipnt= 56 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.13710869, fd= 0.12596790, err= 0.01114079 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.42605984, fd= 0.42816384, err= -0.00210400 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.96517392, fd= 0.96994021, err= -0.00476628 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.11441474, fd= -0.11497975, err= 0.00056501 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00586383, fd= 0.00549109, err= 0.00037274 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.46349118, fd= 0.43402875, err= 0.02946243 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.18962525, fd= 0.18604556, err= 0.00357968 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.73995999, fd= 0.72599128, err= 0.01396872 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.46970499, fd= 0.47146168, err= -0.00175669 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.99968744, fd= -1.00342625, err= 0.00373881 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.12602356, fd= -0.12649489, err= 0.00047133 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.13710869, fd= -0.12596790, err= -0.01114079 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.36155430, fd= 0.36285214, err= -0.00129784 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.91064023, fd= -0.91390907, err= 0.00326883 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.09712052, fd= -0.09746915, err= 0.00034862 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14256194, fd= 0.13849488, err= 0.00406706 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(taper) check complete with 3713 total errors (errmax= 3.1564e-02)
iedge= 4, ipnt= 21 (X): anal= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Y): anal= 40.02507666, fd= 0.00000000, err= 40.02507666 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Y): anal= 3.46982135, fd= -0.00000000, err= 3.46982135 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 4.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Y): anal= 0.21093456, fd= 0.00000000, err= 0.21093456 (at 4.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 4.08482612 7.07106781 0.13077039)
iedge= 7, ipnt= 1 (X): anal= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal= -8.29171619, fd= 0.00000000, err= -8.29171619 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200156 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal= 16.80310327, fd= 0.00000000, err= 16.80310327 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (at 4.08021879 7.07106781 0.09284805)
iedge= 9, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= -0.67855430, fd= -0.67844399, err= -0.00011032 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.57125868, fd= -0.57082126, err= -0.00043742 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046594 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.28831226, fd= -0.28741891, err= -0.00089335 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.08739679, fd= -0.08684542, err= -0.00055138 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (Y): anal= -0.27318424, fd= -0.27290073, err= -0.00028351 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 5.90377736 7.07396588 -0.36829084)
iedge= 15, ipnt= 21 (X): anal= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Y): anal= -40.02507666, fd= -0.00000000, err= -40.02507666 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Y): anal= -3.46982135, fd= 0.00000000, err= -3.46982135 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 4.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Y): anal= -0.21093456, fd= -0.00000000, err= -0.21093456 (at 4.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 4.08482612 -7.07106781 0.13077039)
iedge= 17, ipnt= 1 (X): anal= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal= 8.29171619, fd= -0.00000000, err= 8.29171619 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200156 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal= -16.80310327, fd= -0.00000000, err= -16.80310327 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (at 4.08021879 -7.07106781 0.09284805)
iedge= 18, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= 0.67855430, fd= 0.67844399, err= 0.00011032 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.57125868, fd= 0.57082126, err= 0.00043742 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046594 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.28831226, fd= 0.28741891, err= 0.00089335 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.08739679, fd= 0.08684542, err= 0.00055138 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (Y): anal= 0.27318424, fd= 0.27290073, err= 0.00028351 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 5.90377736 -7.07396588 -0.36829084)
d(Edge)/d(taper) check complete with 68 total errors (errmax= 4.0025e+01)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 2.43637665, err= -2.43637665 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.00860467, err= -0.00860467 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.65185199, err= 0.65185199 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 2.43637665, err= -2.43637665 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.00860467, err= 0.00860467 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.65185199, err= 0.65185199 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(taper) check complete with 6 total errors (errmax= 2.4364e+00)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "twist" for ibody=12
iface= 4, ipnt= 56 (Y): anal= -0.00026103, fd= -0.00002155, err= -0.00023947 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 62 (Y): anal= -0.00018825, fd= -0.00003446, err= -0.00015379 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= -0.00390698, fd= -0.00347886, err= -0.00042811 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= -0.00514084, fd= -0.00457753, err= -0.00056331 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= -0.01098535, fd= -0.00978161, err= -0.00120373 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (Z): anal= -0.02019496, fd= -0.02005712, err= -0.00013784 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 66 (X): anal= -0.00114498, fd= -0.00091353, err= -0.00023145 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Y): anal= -0.00367879, fd= -0.00293515, err= -0.00074364 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Z): anal= -0.00715629, fd= -0.00570970, err= -0.00144659 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 68 (X): anal= -0.00829036, fd= -0.00801511, err= -0.00027525 (at 5.32805344 7.24798201 -0.10371300)
...too many errors to list
iface= 8, ipnt= 57 (Y): anal= 0.00026103, fd= 0.00002155, err= 0.00023947 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (Z): anal= -0.02034019, fd= -0.02021320, err= -0.00012699 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (Y): anal= 0.00021891, fd= 0.00003198, err= 0.00018694 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 68 (Y): anal= -0.01261869, fd= -0.01250205, err= -0.00011664 (at 5.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 68 (Z): anal= -0.01224231, fd= -0.01212915, err= -0.00011317 (at 5.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 69 (X): anal= -0.00612925, fd= -0.00574045, err= -0.00038880 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Y): anal= 0.00621294, fd= 0.00581883, err= 0.00039411 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Z): anal= -0.01368629, fd= -0.01281813, err= -0.00086817 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 71 (X): anal= -0.00936558, fd= -0.00915460, err= -0.00021098 (at 5.42994443 -7.22449078 -0.14645600)
iface= 8, ipnt= 71 (Y): anal= 0.00786553, fd= 0.00768834, err= 0.00017719 (at 5.42994443 -7.22449078 -0.14645600)
...too many errors to list
d(Face)/d(twist) check complete with 1468 total errors (errmax= 1.4466e-03)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.2222e-06)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= -0.00852665, err= 0.00852665 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.03182295, err= 0.03182295 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= -0.00852665, err= 0.00852665 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.03182295, err= 0.03182295 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(twist) check complete with 4 total errors (errmax= 3.1823e-02)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "lesweep" for ibody=12
iface= 4, ipnt= 56 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.05671235, fd= -0.06039201, err= 0.00367966 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (Y): anal= 0.06008556, fd= 0.06024964, err= -0.00016409 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.00208147, fd= -0.00092263, err= 0.00300410 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.01009710, fd= 0.00989259, err= 0.00020452 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.03940115, fd= 0.03860308, err= 0.00079808 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (Y): anal= 0.05926350, fd= 0.05942945, err= -0.00016595 (at 5.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 62 (X): anal= 0.00536304, fd= 0.00608649, err= -0.00072346 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= -0.02916899, fd= -0.03310379, err= 0.00393481 (at 4.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= -0.06251933, fd= -0.06264246, err= 0.00012313 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.05671235, fd= 0.06039201, err= -0.00367966 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.05588686, fd= -0.05600531, err= 0.00011845 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.00683830, fd= 0.00657839, err= 0.00025991 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.03279261, fd= -0.03154624, err= -0.00124637 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.03705654, fd= 0.03737288, err= -0.00031634 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.02819584, fd= -0.02843654, err= 0.00024070 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.06268578, fd= 0.06322091, err= -0.00053514 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(lesweep) check complete with 2396 total errors (errmax= 4.1018e-03)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.1111e-05)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.16471280, err= -0.16471280 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.16471280, err= -0.16471280 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(lesweep) check complete with 2 total errors (errmax= 1.6471e-01)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "dihedral" for ibody=12
iface= 4, ipnt= 56 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.01256582, fd= 0.01303835, err= -0.00047252 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (Y): anal= 0.00028920, fd= 0.00052479, err= -0.00023559 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 62 (Y): anal= 0.00695126, fd= 0.00736879, err= -0.00041753 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= 0.03263187, fd= 0.03375013, err= -0.00111826 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= 0.04293736, fd= 0.04440878, err= -0.00147142 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= 0.09175187, fd= 0.09489611, err= -0.00314424 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (X): anal= 0.04689532, fd= 0.04751717, err= -0.00062185 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Y): anal= 0.03586780, fd= 0.03634341, err= -0.00047562 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Z): anal= 0.07973575, fd= 0.08079307, err= -0.00105732 (at 5.65681433 7.16190263 -0.24575686)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.01256582, fd= -0.01303835, err= 0.00047252 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (X): anal= 0.04702866, fd= 0.04762568, err= -0.00059702 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.03578349, fd= -0.03623775, err= 0.00045426 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.07955486, fd= 0.08056479, err= -0.00100993 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (X): anal= -0.00217610, fd= -0.00228736, err= 0.00011126 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 63 (Y): anal= -0.00880915, fd= -0.00925954, err= 0.00045039 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 66 (Y): anal= 0.00238459, fd= 0.00224080, err= 0.00014379 (at 4.94376660 -7.40370254 -0.08307217)
iface= 8, ipnt= 67 (Y): anal= -0.00028920, fd= -0.00052479, err= 0.00023559 (at 4.83366809 -7.40964541 -0.04953438)
iface= 8, ipnt= 68 (X): anal= -0.01232811, fd= -0.01251827, err= 0.00019016 (at 5.65350741 -7.18730008 -0.32015890)
...too many errors to list
d(Face)/d(dihedral) check complete with 2992 total errors (errmax= 3.2356e-03)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 7.5551e-05)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= 0.12358291, err= -0.12358291 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= 0.12358291, err= -0.12358291 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(dihedral) check complete with 2 total errors (errmax= 1.2358e-01)
*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "thick_r" for ibody=12
iface= 1, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.32218219, fd= 0.32093127, err= 0.00125093 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.38611043, fd= -0.38430849, err= -0.00180194 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.25891894, fd= 0.25771060, err= 0.00120835 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 1.59532638, fd= 1.58788117, err= 0.00744522 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.30167342, fd= -0.29984687, err= -0.00182655 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.22124207, fd= 0.21990251, err= 0.00133956 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 1.62515649, fd= 1.61531661, err= 0.00983988 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.07639193, fd= -0.07590334, err= -0.00048859 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.01839778, fd= -0.01854478, err= 0.00014701 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.13477540, fd= -0.13585233, err= 0.00107694 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.02489732, fd= -0.02508153, err= 0.00018421 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.19945771, fd= -0.20093345, err= 0.00147575 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.03226680, fd= -0.03247914, err= 0.00021234 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.29685250, fd= -0.29880600, err= 0.00195351 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.03709914, fd= -0.03731565, err= 0.00021652 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.39451461, fd= -0.39681708, err= 0.00230246 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.02294293, fd= -0.02562126, err= 0.00267832 (at 4.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= 0.00928367, fd= 0.01036743, err= -0.00108376 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00530751, err= -0.00530751 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01305353, err= 0.01305353 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00156751, err= 0.00156751 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00010574, err= 0.00010574 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00835808, err= 0.00835808 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= -0.00029296, err= 0.00029296 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= -0.00114318, err= 0.00114318 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 62 (X): anal= -0.00000000, fd= 0.00242341, err= -0.00242341 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= 0.00000000, fd= -0.01318067, err= 0.01318067 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Z): anal= 0.00000000, fd= -0.00076980, err= 0.00076980 (at 4.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.32218219, fd= -0.32093127, err= -0.00125093 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.44766133, fd= -0.44544913, err= -0.00221220 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.28329823, fd= -0.28189826, err= -0.00139997 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 1.50054088, fd= 1.49312569, err= 0.00741519 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.22341309, fd= -0.22195189, err= -0.00146119 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.18733801, fd= -0.18611276, err= -0.00122525 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 1.64887508, fd= 1.63809090, err= 0.01078418 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.07178472, fd= -0.07127312, err= -0.00051160 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.02659083, fd= -0.02678305, err= 0.00019222 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.21890634, fd= -0.22048877, err= 0.00158243 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.03342556, fd= -0.03364036, err= 0.00021480 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.31636902, fd= -0.31840210, err= 0.00203307 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.03147984, fd= -0.03498724, err= 0.00350740 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.01254845, fd= -0.01394656, err= 0.00139811 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.11256761, fd= -0.12510959, err= 0.01254198 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.05406119, fd= -0.05916512, err= 0.00510392 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.02012837, fd= -0.02202869, err= 0.00190032 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.24475672, fd= -0.26786423, err= 0.02310751 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00530751, err= -0.00530751 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01305353, err= -0.01305353 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00156751, err= 0.00156751 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00045944, err= 0.00045944 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00220321, err= -0.00220321 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Z): anal= 0.00000000, fd= 0.00011892, err= -0.00011892 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00166572, err= 0.00166572 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= 0.00000000, fd= 0.00126743, err= -0.00126743 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= -0.00000000, fd= -0.00281778, err= 0.00281778 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 61 (X): anal= -0.00000000, fd= -0.00057463, err= 0.00057463 (at 5.05027723 -7.38982335 -0.11547034)
...too many errors to list
d(Face)/d(thick_r) check complete with 15049 total errors (errmax= 8.8575e-02)
iedge= 2, ipnt= 17 (X): anal= -0.29919256, fd= -0.29880654, err= -0.00038602 (at 0.00651424 0.00000000 0.06076412)
iedge= 2, ipnt= 17 (Z): anal= 0.14797341, fd= 0.14778249, err= 0.00019092 (at 0.00651424 0.00000000 0.06076412)
iedge= 2, ipnt= 18 (X): anal= -0.12349369, fd= -0.12272277, err= -0.00077092 (at -0.00327219 0.00000000 0.03098919)
iedge= 2, ipnt= 18 (Z): anal= 0.01797595, fd= 0.01786373, err= 0.00011222 (at -0.00327219 0.00000000 0.03098919)
iedge= 2, ipnt= 19 (X): anal= -0.03578710, fd= -0.03615783, err= 0.00037073 (at -0.00369714 0.00000000 0.01528693)
iedge= 5, ipnt= 1 (X): anal= -0.02575487, fd= -0.02622293, err= 0.00046806 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 1 (Z): anal= -0.01935237, fd= -0.01970408, err= 0.00035171 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 2 (X): anal= -0.07246479, fd= -0.07189989, err= -0.00056490 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 2 (Z): anal= -0.08657272, fd= -0.08589784, err= -0.00067488 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 3 (Z): anal= -0.28614142, fd= -0.28600370, err= -0.00013772 (at 0.04320575 -0.00000000 -0.03874276)
iedge= 5, ipnt= 10 (Z): anal= -1.85099094, fd= -1.85087984, err= -0.00011111 (at 1.39914476 0.00000000 0.07741770)
d(Edge)/d(thick_r) check complete with 11 total errors (errmax= 7.7092e-04)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 2.2204e-10)
*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "camber_r" for ibody=12
iface= 1, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.36378508, fd= 0.36320127, err= 0.00058380 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.59376744, fd= -0.59239737, err= -0.00137007 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.39817013, fd= 0.39725138, err= 0.00091874 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 2.45332109, fd= 2.44766027, err= 0.00566083 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.49839628, fd= -0.49689512, err= -0.00150116 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.36551522, fd= 0.36441429, err= 0.00110093 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 2.68492983, fd= 2.67684286, err= 0.00808696 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.14731014, fd= -0.14686250, err= -0.00044764 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.04020978, fd= 0.04056030, err= -0.00035052 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 0.29456217, fd= 0.29712996, err= -0.00256779 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.05446204, fd= 0.05490125, err= -0.00043922 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 0.43630691, fd= 0.43982556, err= -0.00351865 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.07066671, fd= 0.07117299, err= -0.00050628 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 0.65012926, fd= 0.65478697, err= -0.00465771 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.08133800, fd= 0.08185423, err= -0.00051623 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 0.86495350, fd= 0.87044313, err= -0.00548963 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.04402842, fd= 0.04201606, err= 0.00201237 (at 4.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= -0.01781574, fd= -0.01700145, err= -0.00081429 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00542962, err= -0.00542962 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01335385, err= 0.01335385 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00160357, err= 0.00160357 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.00022172, err= -0.00022172 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.00050227, err= -0.00050227 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00017080, err= 0.00017080 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.01350052, err= 0.01350052 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.00030353, err= -0.00030353 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00118445, err= -0.00118445 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 60 (X): anal= 0.00000000, fd= 0.00056273, err= -0.00056273 (at 5.60739848 7.22087484 -0.28018266)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.36378508, fd= -0.36320127, err= -0.00058380 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.63252316, fd= -0.63101734, err= -0.00150582 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.40028628, fd= -0.39933334, err= -0.00095294 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 2.12018952, fd= 2.11514208, err= 0.00504744 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.39222265, fd= -0.39095647, err= -0.00126619 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.32888947, fd= -0.32782774, err= -0.00106173 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 2.89475500, fd= 2.88541006, err= 0.00934495 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.13843103, fd= -0.13796254, err= -0.00046849 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.05818095, fd= 0.05863926, err= -0.00045831 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 0.47896884, fd= 0.48274184, err= -0.00377300 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.07322095, fd= 0.07373309, err= -0.00051215 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 0.69302778, fd= 0.69787518, err= -0.00484740 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.06007931, fd= 0.05744401, err= 0.00263530 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.02394872, fd= 0.02289824, err= 0.00105048 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 0.21483539, fd= 0.20541192, err= 0.00942347 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.10135519, fd= 0.09752033, err= 0.00383487 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.03773714, fd= 0.03630932, err= 0.00142782 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 0.45887564, fd= 0.44151366, err= 0.01736198 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.00015273, err= 0.00015273 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00542962, err= -0.00542962 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01335385, err= -0.01335385 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00160357, err= 0.00160357 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.00051214, err= -0.00051214 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00128992, err= 0.00128992 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00013757, err= 0.00013757 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00014406, err= 0.00014406 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00069085, err= -0.00069085 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00819076, err= 0.00819076 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(camber_r) check complete with 14006 total errors (errmax= 9.4679e-02)
iedge= 2, ipnt= 9 (Z): anal= 3.75909378, fd= 3.75892497, err= 0.00016881 (at 1.58372538 0.00000000 0.51730414)
iedge= 2, ipnt= 10 (Z): anal= 3.72128671, fd= 3.72149822, err= -0.00021151 (at 1.33283756 0.00000000 0.52170653)
iedge= 2, ipnt= 18 (X): anal= -0.11594716, fd= -0.11608667, err= 0.00013951 (at -0.00327219 0.00000000 0.03098919)
d(Edge)/d(camber_r) check complete with 3 total errors (errmax= 2.1151e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9071e-08)
*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "thick_t" for ibody=12
iface= 1, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.00595773, fd= 0.00759914, err= -0.00164141 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.01196130, fd= -0.01415504, err= 0.00219374 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.00802104, fd= 0.00949212, err= -0.00147108 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.04942156, fd= 0.05848562, err= -0.00906406 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.01338067, fd= -0.01549876, err= 0.00211810 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.00981315, fd= 0.01136653, err= -0.00155338 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.07208350, fd= 0.08349399, err= -0.01141049 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00447414, fd= -0.00494163, err= 0.00046749 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.10420917, fd= -0.10356229, err= -0.00064688 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.76339838, fd= -0.75865957, err= -0.00473882 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.09123776, fd= -0.09042718, err= -0.00081058 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.73092500, fd= -0.72443130, err= -0.00649369 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.07411498, fd= -0.07318064, err= -0.00093434 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.68185315, fd= -0.67325730, err= -0.00859585 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.05948071, fd= -0.05852800, err= -0.00095271 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= -0.00751276, fd= -0.00739243, err= -0.00012033 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.63252170, fd= -0.62239054, err= -0.01013116 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.24649418, fd= -0.24266219, err= -0.00383199 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.00473764, fd= 0.85482888, err= -0.85956652 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00004804, fd= 0.17467467, err= -0.17462662 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00010884, fd= 0.39569895, err= -0.39559011 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00001290, fd= -0.04690739, err= 0.04689449 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00003642, fd= 0.02167649, err= -0.02171291 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00287899, fd= 1.71336170, err= -1.71624069 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= -0.00000675, fd= 0.00401437, err= -0.00402112 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.00013169, fd= 0.36288913, err= -0.36302083 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.00595773, fd= -0.00759914, err= 0.00164141 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.01337680, fd= -0.01617711, err= 0.00280031 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.00846538, fd= -0.01023753, err= 0.00177215 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.04483845, fd= 0.05422497, err= -0.00938651 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.01162837, fd= -0.01322832, err= 0.00159996 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.00975070, fd= -0.01109231, err= 0.00134161 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.08582185, fd= 0.09763016, err= -0.01180831 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00472043, fd= -0.00520999, err= 0.00048957 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.08759780, fd= -0.08675198, err= -0.00084582 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.72114014, fd= -0.71417704, err= -0.00696310 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.07099952, fd= -0.07005435, err= -0.00094517 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.67200226, fd= -0.66305632, err= -0.00894593 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.22781822, fd= -0.22279996, err= -0.00501827 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.09081255, fd= -0.08881218, err= -0.00200037 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.81464678, fd= -0.79670215, err= -0.01794463 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.16818393, fd= -0.16088126, err= -0.00730267 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.06261920, fd= -0.05990023, err= -0.00271897 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.76143615, fd= -0.72837403, err= -0.03306212 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.00003185, fd= 0.10203706, err= -0.10200521 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.00006778, fd= -0.21716859, err= 0.21710080 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.00000854, fd= -0.02737692, err= 0.02736837 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00473764, fd= -0.85482888, err= 0.85956652 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.00004547, fd= 0.27070396, err= -0.27065849 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.00011453, fd= -0.68181715, err= 0.68170262 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.00001221, fd= -0.07271636, err= 0.07270414 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00019031, fd= 0.32562083, err= -0.32581115 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(thick_t) check complete with 16484 total errors (errmax= 1.7891e+00)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= -0.00026931, err= 0.00026931 (at -0.00327219 0.00000000 0.03098919)
iedge= 4, ipnt= 1 (X): anal=-2877890.49138031, fd= 0.04015703, err=-2877890.53153734 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-64496474.85165953, fd= 0.00000000, err=-64496474.85165953 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-5487003.81736399, fd= 0.07656365, err=-5487003.89392764 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-7179194.46519370, fd= 0.06926994, err=-7179194.53446364 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-164206876.58229858, fd= 0.00000000, err=-164206876.58229858 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-13958432.58338326, fd= 0.13468081, err=-13958432.71806407 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-17580153.88726233, fd= 0.09658210, err=-17580153.98384443 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-409235487.58106333, fd= -0.00000000, err=-409235487.58106333 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-34830360.81750005, fd= 0.19135153, err=-34830361.00885157 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-99043135.25013138, fd= 0.12220877, err=-99043135.37234016 (at 5.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00014982, err= -0.00014982 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00011258, err= -0.00011258 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= -0.00016347, err= 0.00016347 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00019530, err= 0.00019530 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011773, err= 0.00011773 (at 1.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=226586.08811240, fd= 0.00000000, err=226586.08811240 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-9414.86035025, fd= 0.00104868, err=-9414.86139893 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=1382737.70668959, fd= -0.05436935, err=1382737.76105894 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=2442628.89453401, fd= 0.00000000, err=2442628.89453400 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=152399.95570746, fd= -0.00599238, err=152399.96169984 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=2760598.68840712, fd= -0.00000000, err=2760598.68840712 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=572953.83582989, fd= -0.06948560, err=572953.90531549 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (at 4.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.02674852, fd= 0.00357871, err= 0.02316981 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.10726270, fd= 0.01035683, err= 0.09690587 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.19353661, fd= 0.02440975, err= 0.16912687 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354170, err= 0.04876121 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.18682575, fd= 0.03307516, err= -0.21990091 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181837, err= -0.02370360 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.29135140, fd= 0.02420725, err= -0.31555865 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.28182308, fd= 0.01105180, err= -0.29287489 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910942 (at 5.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-2877890.49138031, fd= 0.04015703, err=-2877890.53153734 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=64496474.85165953, fd= -0.00000000, err=64496474.85165953 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-5487003.81736399, fd= 0.07656365, err=-5487003.89392764 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-7179194.46519371, fd= 0.06926994, err=-7179194.53446365 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=164206876.58229858, fd= -0.00000000, err=164206876.58229858 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-13958432.58338327, fd= 0.13468081, err=-13958432.71806408 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-17580153.88726236, fd= 0.09658210, err=-17580153.98384446 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=409235487.58106333, fd= 0.00000000, err=409235487.58106333 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-34830360.81750008, fd= 0.19135153, err=-34830361.00885160 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-99043135.25013149, fd= 0.12220877, err=-99043135.37234026 (at 5.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-226586.08811240, fd= -0.00000000, err=-226586.08811240 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-9414.86035025, fd= 0.00104868, err=-9414.86139893 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=1382737.70668959, fd= -0.05436935, err=1382737.76105894 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=-2442628.89453401, fd= -0.00000000, err=-2442628.89453400 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=152399.95570746, fd= -0.00599238, err=152399.96169984 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=-2760598.68840712, fd= 0.00000000, err=-2760598.68840712 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=572953.83582989, fd= -0.06948560, err=572953.90531549 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (at 4.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.02674852, fd= -0.00357871, err= -0.02316981 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.10726270, fd= -0.01035683, err= -0.09690587 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.19353661, fd= -0.02440975, err= -0.16912687 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354170, err= 0.04876121 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.18682575, fd= -0.03307516, err= 0.21990091 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181837, err= -0.02370360 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.29135140, fd= -0.02420725, err= 0.31555865 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.28182308, fd= -0.01105180, err= 0.29287489 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910942 (at 5.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(thick_t) check complete with 318 total errors (errmax= 1.0014e+11)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.01142003, err= -0.01142003 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.03786517, err= -0.03786517 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00195245, err= 0.00195245 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.01142003, err= -0.01142003 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.03786517, err= 0.03786517 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00195245, err= 0.00195245 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(thick_t) check complete with 6 total errors (errmax= 3.7865e-02)
*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "camber_t" for ibody=12
iface= 1, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.01019077, fd= 0.01004465, err= 0.00014611 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.02179864, fd= -0.02209757, err= 0.00029893 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.01461779, fd= 0.01481824, err= -0.00020045 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.09006736, fd= 0.09130245, err= -0.00123510 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.02493663, fd= -0.02546548, err= 0.00052885 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.01828810, fd= 0.01867595, err= -0.00038785 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.13433709, fd= 0.13718609, err= -0.00284900 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00890037, fd= -0.00923713, err= 0.00033676 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.22880456, fd= 0.22781966, err= 0.00098490 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 1.67613884, fd= 1.66892382, err= 0.00721502 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.20042524, fd= 0.19919098, err= 0.00123426 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 1.60564899, fd= 1.59576106, err= 0.00988793 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.16292519, fd= 0.16150237, err= 0.00142282 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 1.49890143, fd= 1.48581157, err= 0.01308987 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.13083896, fd= 0.12938811, err= 0.00145086 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= 0.01652572, fd= 0.01634247, err= 0.00018325 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 1.39134996, fd= 1.37592147, err= 0.01542849 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.41073671, fd= 0.40977990, err= 0.00095681 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.59629847, fd= 0.00553562, err= 0.59076285 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= -0.02833119, fd= -0.00012767, err= -0.02820352 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= -0.06418001, fd= -0.00028921, err= -0.06389080 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= 0.00760810, fd= 0.00003428, err= 0.00757382 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00008817, fd= 0.00006018, err= -0.00014835 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00696887, fd= 0.00475700, err= -0.01172587 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.04734834, fd= -0.00026797, err= -0.04708037 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= -0.18476378, fd= -0.00104567, err= -0.18371811 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.01019077, fd= -0.01004465, err= -0.00014611 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.02380271, fd= -0.02392120, err= 0.00011850 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.07978562, fd= 0.08018281, err= -0.00039719 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.02217121, fd= -0.02278540, err= 0.00061419 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.01859117, fd= -0.01910618, err= 0.00051501 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.16363214, fd= 0.16816507, err= -0.00453293 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00938809, fd= -0.00974070, err= 0.00035261 (at 1.63262151 -0.85626212 0.47159445)
iface= 5, ipnt= 207 (Y): anal= -0.01584950, fd= -0.01644480, err= 0.00059529 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.19245717, fd= 0.19116922, err= 0.00128795 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 1.58438447, fd= 1.57378157, err= 0.01060290 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.15609729, fd= 0.15465796, err= 0.00143933 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 1.47744271, fd= 1.46381960, err= 0.01362311 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.37794091, fd= 0.37668783, err= 0.00125308 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.15065423, fd= 0.15015473, err= 0.00049950 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 1.35146495, fd= 1.34698410, err= 0.00448084 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.27492677, fd= 0.27310314, err= 0.00182363 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.10236230, fd= 0.10168332, err= 0.00067898 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 1.24470382, fd= 1.23644752, err= 0.00825630 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.01519767, fd= -0.00004068, err= -0.01515699 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.03234566, fd= 0.00008659, err= 0.03225908 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00407759, fd= 0.00001092, err= 0.00406667 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.59629847, fd= -0.00553562, err= -0.59076285 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.04402374, fd= -0.00029509, err= -0.04372865 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.11088179, fd= 0.00074323, err= 0.11013856 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.01182563, fd= 0.00007927, err= 0.01174637 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.03678076, fd= -0.00007175, err= -0.03670901 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(camber_t) check complete with 16143 total errors (errmax= 1.7368e+00)
iedge= 4, ipnt= 1 (X): anal=-6048561.95208942, fd= 0.09394856, err=-6048562.04603797 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-135554471.44912693, fd= -0.00000000, err=-135554471.44912693 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-11532225.64238683, fd= 0.17912290, err=-11532225.82150973 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-18147753.46483111, fd= 0.17844379, err=-18147753.64327489 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-415086390.04582071, fd= -0.00000000, err=-415086390.04582071 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-35284486.93050832, fd= 0.34694638, err=-35284487.27745470 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-47272341.38041763, fd= 0.25534340, err=-47272341.63576103 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-1100418107.61084104, fd= -0.00000000, err=-1100418107.61084104 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-93657468.38888383, fd= 0.50589448, err=-93657468.89477831 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-273170131.74856323, fd= 0.32501459, err=-273170132.07357782 (at 5.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00018646, err= -0.00018646 (at 1.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=168711.16394013, fd= -0.00000000, err=168711.16394013 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-7010.11036458, fd= -0.00556089, err=-7010.10480370 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=-889655.47716123, fd= 0.14871645, err=-889655.62587769 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=-1571591.22950884, fd= 0.00000000, err=-1571591.22950884 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=-98054.35597679, fd= 0.01639095, err=-98054.37236774 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789372, err=-2135435.48045090 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=-4434404.56192405, fd= -0.00000000, err=-4434404.56192404 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (at 4.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.06237389, fd= -0.00329393, err= 0.06566783 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738796 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.27195031, fd= -0.00212749, err= 0.27407780 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.49198867, fd= -0.00058927, err= 0.49257794 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252667, err= 0.15757580 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.45633084, fd= 0.00009675, err= -0.45642759 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.70236774, fd= 0.00055882, err= -0.70292656 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.65595900, fd= 0.00203749, err= -0.65799649 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 5.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-6048561.95208942, fd= 0.09394856, err=-6048562.04603798 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=135554471.44912693, fd= 0.00000000, err=135554471.44912693 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-11532225.64238684, fd= 0.17912290, err=-11532225.82150974 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-18147753.46483112, fd= 0.17844379, err=-18147753.64327491 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=415086390.04582071, fd= 0.00000000, err=415086390.04582071 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-35284486.93050835, fd= 0.34694638, err=-35284487.27745473 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-47272341.38041773, fd= 0.25534340, err=-47272341.63576113 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=1100418107.61084104, fd= 0.00000000, err=1100418107.61084104 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-93657468.38888393, fd= 0.50589448, err=-93657468.89477842 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-273170131.74856353, fd= 0.32501459, err=-273170132.07357812 (at 5.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-168711.16394013, fd= 0.00000000, err=-168711.16394013 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-7010.11036458, fd= -0.00556089, err=-7010.10480370 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=-889655.47716123, fd= 0.14871645, err=-889655.62587769 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=1571591.22950884, fd= -0.00000000, err=1571591.22950884 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=-98054.35597679, fd= 0.01639095, err=-98054.37236774 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789372, err=-2135435.48045090 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=4434404.56192405, fd= 0.00000000, err=4434404.56192404 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (at 4.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.06237389, fd= 0.00329393, err= -0.06566783 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738796 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.27195031, fd= 0.00212749, err= -0.27407780 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.49198867, fd= 0.00058927, err= -0.49257794 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252667, err= 0.15757580 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.45633084, fd= -0.00009675, err= 0.45642759 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.70236774, fd= -0.00055882, err= 0.70292656 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.65595900, fd= -0.00203749, err= 0.65799649 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 5.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(camber_t) check complete with 313 total errors (errmax= 2.2089e+11)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 2.1285e-08)
*********************************************************
Starting configuration sensitivity wrt "tiprad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "tiprad" for ibody=12
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= -0.03409525, err= 0.03409525 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= 0.08385541, err= -0.08385541 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= 0.01006963, err= -0.01006963 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.01746944, err= -0.01746944 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.03957436, err= -0.03957436 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00469127, err= 0.00469127 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= 0.00215428, err= -0.00215428 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= 0.17027975, err= -0.17027975 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= 0.00000000, fd= 0.00039896, err= -0.00039896 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.03625385, err= -0.03625385 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.00000000, fd= 0.01020439, err= -0.01020439 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.02171832, err= 0.02171832 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00273788, err= 0.00273788 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= -0.03409525, err= 0.03409525 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= -0.08385541, err= 0.08385541 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= 0.01006963, err= -0.01006963 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.02707333, err= -0.02707333 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.06818911, err= 0.06818911 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00727242, err= 0.00727242 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= 0.03250669, err= -0.03250669 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(tiprad) check complete with 3904 total errors (errmax= 1.7227e-01)
iedge= 9, ipnt= 1 (Z): anal= -0.00000000, fd= 0.00028942, err= -0.00028942 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.00000000, fd= 0.00044837, err= -0.00044837 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.00000000, fd= 0.00051767, err= -0.00051767 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.00000000, fd= 0.00106397, err= -0.00106397 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.00000000, fd= 0.00109058, err= -0.00109058 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.00000000, fd= 0.00208329, err= -0.00208329 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.00000000, fd= 0.00161775, err= -0.00161776 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.00000000, fd= 0.00130259, err= -0.00130259 (at 5.90629014 7.07849533 -0.36424482)
iedge= 9, ipnt= 4 (Y): anal= -0.00000000, fd= 0.00323164, err= -0.00323164 (at 5.90629014 7.07849533 -0.36424482)
iedge= 9, ipnt= 4 (Z): anal= -0.00000000, fd= 0.00105723, err= -0.00105723 (at 5.90629014 7.07849533 -0.36424482)
iedge= 11, ipnt= 1 (X): anal= -0.00000000, fd= 0.00059751, err= -0.00059751 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= 0.00000000, fd= 0.00318152, err= -0.00318152 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.00000000, fd= -0.00151513, err= 0.00151513 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.00000000, fd= 0.00015519, err= -0.00015519 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= 0.00000000, fd= 0.00206599, err= -0.00206599 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00185278, err= 0.00185278 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= -0.00000000, fd= -0.00012094, err= 0.00012094 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= 0.00000000, fd= 0.00055240, err= -0.00055240 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 5.90377736 7.07396588 -0.36829084)
iedge= 18, ipnt= 1 (Z): anal= -0.00000000, fd= 0.00028942, err= -0.00028942 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.00000000, fd= 0.00044837, err= -0.00044837 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.00000000, fd= -0.00051767, err= 0.00051767 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.00000000, fd= 0.00106397, err= -0.00106397 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.00000000, fd= 0.00109058, err= -0.00109058 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.00000000, fd= -0.00208329, err= 0.00208329 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.00000000, fd= 0.00161775, err= -0.00161776 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.00000000, fd= 0.00130259, err= -0.00130259 (at 5.90629014 -7.07849533 -0.36424482)
iedge= 18, ipnt= 4 (Y): anal= 0.00000000, fd= -0.00323164, err= 0.00323164 (at 5.90629014 -7.07849533 -0.36424482)
iedge= 18, ipnt= 4 (Z): anal= -0.00000000, fd= 0.00105723, err= -0.00105723 (at 5.90629014 -7.07849533 -0.36424482)
iedge= 20, ipnt= 1 (X): anal= -0.00000000, fd= 0.00059751, err= -0.00059751 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= -0.00000000, fd= -0.00318152, err= 0.00318152 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.00000000, fd= -0.00151513, err= 0.00151513 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.00000000, fd= 0.00015519, err= -0.00015519 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= -0.00000000, fd= -0.00206599, err= 0.00206599 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00185278, err= 0.00185278 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= -0.00000000, fd= -0.00012094, err= 0.00012094 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= -0.00000000, fd= -0.00055240, err= 0.00055240 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 5.90377736 -7.07396588 -0.36829084)
d(Edge)/d(tiprad) check complete with 40 total errors (errmax= 3.2316e-03)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.00114200, err= -0.00114200 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.00378652, err= -0.00378652 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00019525, err= 0.00019525 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.00114200, err= -0.00114200 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.00378652, err= 0.00378652 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00019525, err= 0.00019525 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(tiprad) check complete with 6 total errors (errmax= 3.7865e-03)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.911 sec
Sensitivity checks complete with 80054 total errors (max config err= 2.2089e+11) with 0 suppressions
real 0m16.786s
user 0m17.452s
sys 0m0.020s
++++ set +x
data/basic/designG5 failed (known sens failure)
--------------------------------------------------------------------------------------------------
( 120 / 180 )
data/basic/designG6.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designG6.csm
--> ocsmCheck() -> status=0 (success)
ERROR:: config error with .csen file
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "area" for ibody=17
d(Face)/d(area) check complete with 0 total errors (errmax= 6.7870e-07)
d(Edge)/d(area) check complete with 0 total errors (errmax= 5.2097e-07)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382668, err= -0.07382668 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.08848301, err= -0.08848301 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382668, err= -0.07382668 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.08848301, err= 0.08848301 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(area) check complete with 6 total errors (errmax= 8.8483e-02)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "area" for ibody=19
d(Face)/d(area) check complete with 0 total errors (errmax= 6.7789e-07)
d(Edge)/d(area) check complete with 0 total errors (errmax= 5.2131e-07)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382668, err= -0.07382668 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.08848301, err= -0.08848301 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 10.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.07382668, err= -0.07382668 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.08848301, err= 0.08848301 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00456248, err= 0.00456248 (at 10.90613412 -7.07864085 -0.36499841)
d(Node)/d(area) check complete with 6 total errors (errmax= 8.8483e-02)
*********************************************************
Starting configuration sensitivity wrt "aspect"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "aspect" for ibody=17
iface= 4, ipnt= 56 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.44964602, fd= 0.44874811, err= 0.00089791 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.29151483, fd= 0.29164395, err= -0.00012912 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.66038262, fd= 0.66067512, err= -0.00029250 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.67742089, fd= 0.67519090, err= 0.00222998 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.17994311, fd= 0.17964549, err= 0.00029762 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.70217815, fd= 0.70101678, err= 0.00116137 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (X): anal= 0.28678157, fd= 0.28690447, err= -0.00012290 (at 5.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 61 (Y): anal= 0.66335252, fd= 0.66363681, err= -0.00028429 (at 5.73190789 7.16589697 -0.31563807)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.30571635, fd= 0.30582966, err= -0.00011332 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.65066541, fd= -0.65090659, err= 0.00024118 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.44964602, fd= -0.44874811, err= -0.00089791 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.67410689, fd= -0.67425653, err= 0.00014965 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14705664, fd= 0.14673080, err= 0.00032583 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.70520030, fd= -0.70363779, err= -0.00156251 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.19485440, fd= 0.19602787, err= -0.00117347 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.14826216, fd= -0.14915504, err= 0.00089288 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(aspect) check complete with 3100 total errors (errmax= 4.1059e-03)
iedge= 9, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (Y): anal= 0.46802135, fd= 0.46815204, err= -0.00013069 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (Y): anal= 0.64729709, fd= 0.64741732, err= -0.00012023 (at 5.90629014 7.07849533 -0.36424482)
iedge= 18, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (Y): anal= -0.46802135, fd= -0.46815204, err= 0.00013069 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (Y): anal= -0.64729709, fd= -0.64741732, err= 0.00012023 (at 5.90629014 -7.07849533 -0.36424482)
d(Edge)/d(aspect) check complete with 8 total errors (errmax= 1.4830e-04)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.22626758, err= -0.22626758 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.70623919, err= -0.70623919 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= 0.06129524, err= -0.06129524 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.22626758, err= -0.22626758 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.70623919, err= 0.70623919 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= 0.06129524, err= -0.06129524 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(aspect) check complete with 6 total errors (errmax= 7.0624e-01)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "aspect" for ibody=19
iface= 4, ipnt= 56 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.44964602, fd= 0.44874811, err= 0.00089791 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.29151483, fd= 0.29164395, err= -0.00012912 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.66038262, fd= 0.66067512, err= -0.00029250 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.67742089, fd= 0.67519090, err= 0.00222998 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.17994311, fd= 0.17964549, err= 0.00029762 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.70217815, fd= 0.70101678, err= 0.00116137 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (X): anal= 0.28678157, fd= 0.28690447, err= -0.00012290 (at 10.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 61 (Y): anal= 0.66335252, fd= 0.66363681, err= -0.00028429 (at 10.73190789 7.16589697 -0.31563807)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.30571635, fd= 0.30582966, err= -0.00011332 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.65066541, fd= -0.65090659, err= 0.00024118 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.18282417, fd= -0.18245908, err= -0.00036509 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.44964602, fd= -0.44874811, err= -0.00089791 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.05399497, fd= 0.05388715, err= 0.00010782 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.67410689, fd= -0.67425654, err= 0.00014965 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14705664, fd= 0.14673080, err= 0.00032583 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.70520030, fd= -0.70363779, err= -0.00156251 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.19485440, fd= 0.19602787, err= -0.00117347 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.14826216, fd= -0.14915504, err= 0.00089288 (at 10.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(aspect) check complete with 3100 total errors (errmax= 4.1059e-03)
iedge= 9, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (Y): anal= 0.46802135, fd= 0.46815204, err= -0.00013069 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (Y): anal= 0.64729709, fd= 0.64741732, err= -0.00012023 (at 10.90629014 7.07849533 -0.36424482)
iedge= 18, ipnt= 2 (Z): anal= 0.35637737, fd= 0.35652567, err= -0.00014830 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (Y): anal= -0.46802135, fd= -0.46815204, err= 0.00013069 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.36369081, fd= 0.36379230, err= -0.00010149 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (Y): anal= -0.64729709, fd= -0.64741732, err= 0.00012023 (at 10.90629014 -7.07849533 -0.36424482)
d(Edge)/d(aspect) check complete with 8 total errors (errmax= 1.4830e-04)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.22626758, err= -0.22626758 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.70623919, err= -0.70623919 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= 0.06129524, err= -0.06129524 (at 10.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.22626758, err= -0.22626758 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.70623919, err= 0.70623919 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= 0.06129524, err= -0.06129524 (at 10.90613412 -7.07864085 -0.36499841)
d(Node)/d(aspect) check complete with 6 total errors (errmax= 7.0624e-01)
*********************************************************
Starting configuration sensitivity wrt "taper"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "taper" for ibody=17
iface= 4, ipnt= 56 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.13710869, fd= 0.12596790, err= 0.01114079 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.42605984, fd= 0.42816384, err= -0.00210400 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.96517392, fd= 0.96994021, err= -0.00476628 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.11441474, fd= -0.11497975, err= 0.00056501 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00586383, fd= 0.00549109, err= 0.00037274 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.46349118, fd= 0.43402875, err= 0.02946243 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.18962525, fd= 0.18604556, err= 0.00357968 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.73995999, fd= 0.72599128, err= 0.01396872 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.46970499, fd= 0.47146168, err= -0.00175669 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.99968744, fd= -1.00342625, err= 0.00373881 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.12602356, fd= -0.12649489, err= 0.00047133 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.13710869, fd= -0.12596790, err= -0.01114079 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.36155430, fd= 0.36285214, err= -0.00129784 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.91064023, fd= -0.91390907, err= 0.00326883 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.09712052, fd= -0.09746915, err= 0.00034862 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14256194, fd= 0.13849488, err= 0.00406706 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(taper) check complete with 3713 total errors (errmax= 3.1564e-02)
iedge= 4, ipnt= 21 (X): anal= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Y): anal= 40.02507666, fd= 0.00000000, err= 40.02507666 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 4.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Y): anal= 3.46982135, fd= -0.00000000, err= 3.46982135 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (at 4.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 4.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Y): anal= 0.21093456, fd= 0.00000000, err= 0.21093456 (at 4.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 4.08482612 7.07106781 0.13077039)
iedge= 7, ipnt= 1 (X): anal= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal= -8.29171619, fd= 0.00000000, err= -8.29171619 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200156 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal= 16.80310327, fd= 0.00000000, err= 16.80310327 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (at 4.08021879 7.07106781 0.09284805)
iedge= 9, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= -0.67855430, fd= -0.67844399, err= -0.00011032 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.57125868, fd= -0.57082126, err= -0.00043742 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046594 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.28831226, fd= -0.28741891, err= -0.00089335 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.08739679, fd= -0.08684542, err= -0.00055138 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (Y): anal= -0.27318424, fd= -0.27290073, err= -0.00028351 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 5.90377736 7.07396588 -0.36829084)
iedge= 15, ipnt= 21 (X): anal= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Y): anal= -40.02507666, fd= -0.00000000, err= -40.02507666 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 4.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Y): anal= -3.46982135, fd= 0.00000000, err= -3.46982135 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (at 4.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 4.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Y): anal= -0.21093456, fd= -0.00000000, err= -0.21093456 (at 4.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 4.08482612 -7.07106781 0.13077039)
iedge= 17, ipnt= 1 (X): anal= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal= 8.29171619, fd= -0.00000000, err= 8.29171619 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200156 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal= -16.80310327, fd= -0.00000000, err= -16.80310327 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (at 4.08021879 -7.07106781 0.09284805)
iedge= 18, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= 0.67855430, fd= 0.67844399, err= 0.00011032 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.57125868, fd= 0.57082126, err= 0.00043742 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046594 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.28831226, fd= 0.28741891, err= 0.00089335 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.08739679, fd= 0.08684542, err= 0.00055138 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (Y): anal= 0.27318424, fd= 0.27290073, err= 0.00028351 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 5.90377736 -7.07396588 -0.36829084)
d(Edge)/d(taper) check complete with 68 total errors (errmax= 4.0025e+01)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 2.43637665, err= -2.43637665 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.00860467, err= -0.00860467 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.65185199, err= 0.65185199 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 2.43637665, err= -2.43637665 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.00860467, err= 0.00860467 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.65185199, err= 0.65185199 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(taper) check complete with 6 total errors (errmax= 2.4364e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "taper" for ibody=19
iface= 4, ipnt= 56 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.13710869, fd= 0.12596790, err= 0.01114079 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.42605984, fd= 0.42816384, err= -0.00210400 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.96517392, fd= 0.96994021, err= -0.00476628 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.11441474, fd= -0.11497975, err= 0.00056501 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00586383, fd= 0.00549109, err= 0.00037274 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.46349118, fd= 0.43402875, err= 0.02946243 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.18962525, fd= 0.18604556, err= 0.00357968 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.73995999, fd= 0.72599128, err= 0.01396872 (at 10.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.46970499, fd= 0.47146168, err= -0.00175669 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.99968744, fd= -1.00342625, err= 0.00373881 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.12602356, fd= -0.12649489, err= 0.00047133 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.05574781, fd= -0.05121801, err= -0.00452980 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.13710869, fd= -0.12596790, err= -0.01114079 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.01646446, fd= 0.01512664, err= 0.00133782 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.36155430, fd= 0.36285214, err= -0.00129784 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.91064023, fd= -0.91390907, err= 0.00326884 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.09712052, fd= -0.09746915, err= 0.00034862 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.14256194, fd= 0.13849488, err= 0.00406706 (at 10.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(taper) check complete with 3713 total errors (errmax= 3.1564e-02)
iedge= 4, ipnt= 21 (X): anal= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 9.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Y): anal= 40.02507666, fd= 0.00000000, err= 40.02507666 (at 9.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 9.09581103 7.07106781 0.15104056)
iedge= 4, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 9.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Y): anal= 3.46982135, fd= -0.00000000, err= 3.46982135 (at 9.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (at 9.08785150 7.07106781 0.13785911)
iedge= 4, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 9.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Y): anal= 0.21093456, fd= 0.00000000, err= 0.21093456 (at 9.08482612 7.07106781 0.13077039)
iedge= 4, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 9.08482612 7.07106781 0.13077039)
iedge= 7, ipnt= 1 (X): anal= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal= -8.29171619, fd= 0.00000000, err= -8.29171619 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200155 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal= 16.80310327, fd= 0.00000000, err= 16.80310327 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (at 9.08021879 7.07106781 0.09284805)
iedge= 9, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= -0.67855430, fd= -0.67844399, err= -0.00011032 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.57125868, fd= -0.57082126, err= -0.00043742 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046593 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.28831226, fd= -0.28741891, err= -0.00089335 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 10.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.08739679, fd= -0.08684542, err= -0.00055138 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (Y): anal= -0.27318424, fd= -0.27290073, err= -0.00028351 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 10.90377736 7.07396588 -0.36829084)
iedge= 15, ipnt= 21 (X): anal= 14.78990473, fd= -0.00601805, err= 14.79592278 (at 9.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Y): anal= -40.02507666, fd= -0.00000000, err= -40.02507666 (at 9.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 21 (Z): anal= -10.85877568, fd= 0.00441846, err= -10.86319415 (at 9.09581103 -7.07106781 0.15104056)
iedge= 15, ipnt= 22 (X): anal= 1.60452850, fd= -0.00174397, err= 1.60627246 (at 9.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Y): anal= -3.46982135, fd= 0.00000000, err= -3.46982135 (at 9.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 22 (Z): anal= -0.77626480, fd= 0.00084372, err= -0.77710852 (at 9.08785150 -7.07106781 0.13785911)
iedge= 15, ipnt= 23 (X): anal= 0.10556879, fd= -0.00045426, err= 0.10602305 (at 9.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Y): anal= -0.21093456, fd= -0.00000000, err= -0.21093456 (at 9.08482612 -7.07106781 0.13077039)
iedge= 15, ipnt= 23 (Z): anal= -0.03925565, fd= 0.00016892, err= -0.03942457 (at 9.08482612 -7.07106781 0.13077039)
iedge= 17, ipnt= 1 (X): anal= -4.72929104, fd= -0.00193702, err= -4.72735402 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal= 8.29171619, fd= -0.00000000, err= 8.29171619 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal= 0.34467005, fd= 0.00014117, err= 0.34452888 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal= 9.50457934, fd= -0.00742222, err= 9.51200155 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal= -16.80310327, fd= -0.00000000, err= -16.80310327 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal= 1.04755766, fd= -0.00081805, err= 1.04837570 (at 9.08021879 -7.07106781 0.09284805)
iedge= 18, ipnt= 1 (X): anal= 2.26518671, fd= 2.26538245, err= -0.00019575 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= 0.67855430, fd= 0.67844399, err= 0.00011032 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= -0.46923961, fd= -0.46863235, err= -0.00060727 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 2.33873442, fd= 2.33911140, err= -0.00037698 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.57125868, fd= 0.57082126, err= 0.00043742 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.32769414, fd= -0.32679568, err= -0.00089847 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 2.44324983, fd= 2.44371576, err= -0.00046593 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.28831226, fd= 0.28741891, err= 0.00089335 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.27513917, fd= -0.27444541, err= -0.00069376 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 2.47329510, fd= 2.47370160, err= -0.00040650 (at 10.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 2.34230449, fd= 2.34240648, err= -0.00010199 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.08739679, fd= 0.08684542, err= 0.00055138 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= -0.88953951, fd= -0.88980147, err= 0.00026196 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (Y): anal= 0.27318424, fd= 0.27290073, err= 0.00028351 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= -0.98141575, fd= -0.98166918, err= 0.00025344 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (Z): anal= -0.90567977, fd= -0.90583364, err= 0.00015387 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= -0.76094332, fd= -0.76105904, err= 0.00011572 (at 10.90377736 -7.07396588 -0.36829084)
d(Edge)/d(taper) check complete with 68 total errors (errmax= 4.0025e+01)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 2.43637665, err= -2.43637665 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.00860467, err= -0.00860467 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.65185199, err= 0.65185199 (at 10.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 2.43637665, err= -2.43637665 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.00860467, err= 0.00860467 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.65185199, err= 0.65185199 (at 10.90613412 -7.07864085 -0.36499841)
d(Node)/d(taper) check complete with 6 total errors (errmax= 2.4364e+00)
*********************************************************
Starting configuration sensitivity wrt "twist"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "twist" for ibody=17
iface= 4, ipnt= 56 (Y): anal= -0.00026103, fd= -0.00002155, err= -0.00023947 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 62 (Y): anal= -0.00018825, fd= -0.00003446, err= -0.00015379 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= -0.00390698, fd= -0.00347886, err= -0.00042811 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= -0.00514084, fd= -0.00457753, err= -0.00056331 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= -0.01098535, fd= -0.00978161, err= -0.00120373 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (Z): anal= -0.02019496, fd= -0.02005712, err= -0.00013784 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 66 (X): anal= -0.00114498, fd= -0.00091353, err= -0.00023145 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Y): anal= -0.00367879, fd= -0.00293515, err= -0.00074364 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Z): anal= -0.00715629, fd= -0.00570970, err= -0.00144659 (at 4.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 68 (X): anal= -0.00829036, fd= -0.00801511, err= -0.00027525 (at 5.32805344 7.24798201 -0.10371300)
...too many errors to list
iface= 8, ipnt= 57 (Y): anal= 0.00026103, fd= 0.00002155, err= 0.00023947 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (Z): anal= -0.02034019, fd= -0.02021320, err= -0.00012699 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (Y): anal= 0.00021891, fd= 0.00003198, err= 0.00018694 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 68 (Y): anal= -0.01261869, fd= -0.01250205, err= -0.00011664 (at 5.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 68 (Z): anal= -0.01224231, fd= -0.01212915, err= -0.00011317 (at 5.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 69 (X): anal= -0.00612925, fd= -0.00574045, err= -0.00038880 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Y): anal= 0.00621294, fd= 0.00581883, err= 0.00039411 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Z): anal= -0.01368629, fd= -0.01281813, err= -0.00086817 (at 5.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 71 (X): anal= -0.00936558, fd= -0.00915460, err= -0.00021098 (at 5.42994443 -7.22449078 -0.14645600)
iface= 8, ipnt= 71 (Y): anal= 0.00786553, fd= 0.00768834, err= 0.00017719 (at 5.42994443 -7.22449078 -0.14645600)
...too many errors to list
d(Face)/d(twist) check complete with 1468 total errors (errmax= 1.4466e-03)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.2222e-06)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= -0.00852665, err= 0.00852665 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.03182295, err= 0.03182295 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= -0.00852665, err= 0.00852665 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.03182295, err= 0.03182295 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(twist) check complete with 4 total errors (errmax= 3.1823e-02)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "twist" for ibody=19
iface= 4, ipnt= 56 (Y): anal= -0.00026103, fd= -0.00002155, err= -0.00023947 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 62 (Y): anal= -0.00018825, fd= -0.00003446, err= -0.00015379 (at 9.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= -0.00390698, fd= -0.00347886, err= -0.00042811 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= -0.00514084, fd= -0.00457753, err= -0.00056331 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= -0.01098535, fd= -0.00978161, err= -0.00120373 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (Z): anal= -0.02019496, fd= -0.02005712, err= -0.00013784 (at 10.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 66 (X): anal= -0.00114498, fd= -0.00091353, err= -0.00023145 (at 9.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Y): anal= -0.00367879, fd= -0.00293515, err= -0.00074364 (at 9.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 66 (Z): anal= -0.00715629, fd= -0.00570970, err= -0.00144659 (at 9.61374235 7.29883601 0.13832840)
iface= 4, ipnt= 68 (X): anal= -0.00829036, fd= -0.00801511, err= -0.00027525 (at 10.32805344 7.24798201 -0.10371300)
...too many errors to list
iface= 8, ipnt= 57 (Y): anal= 0.00026103, fd= 0.00002155, err= 0.00023947 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (Z): anal= -0.02034019, fd= -0.02021320, err= -0.00012699 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (Y): anal= 0.00021891, fd= 0.00003198, err= 0.00018694 (at 9.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 68 (Y): anal= -0.01261869, fd= -0.01250205, err= -0.00011664 (at 10.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 68 (Z): anal= -0.01224231, fd= -0.01212915, err= -0.00011317 (at 10.65350741 -7.18730008 -0.32015890)
iface= 8, ipnt= 69 (X): anal= -0.00612925, fd= -0.00574045, err= -0.00038880 (at 10.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Y): anal= 0.00621294, fd= 0.00581883, err= 0.00039411 (at 10.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 69 (Z): anal= -0.01368629, fd= -0.01281813, err= -0.00086817 (at 10.12079803 -7.28569695 -0.02108941)
iface= 8, ipnt= 71 (X): anal= -0.00936558, fd= -0.00915460, err= -0.00021098 (at 10.42994443 -7.22449078 -0.14645600)
iface= 8, ipnt= 71 (Y): anal= 0.00786553, fd= 0.00768834, err= 0.00017719 (at 10.42994443 -7.22449078 -0.14645600)
...too many errors to list
d(Face)/d(twist) check complete with 1468 total errors (errmax= 1.4466e-03)
d(Edge)/d(twist) check complete with 0 total errors (errmax= 3.2222e-06)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= -0.00852664, err= 0.00852664 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.03182295, err= 0.03182295 (at 10.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= -0.00852664, err= 0.00852664 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.03182295, err= 0.03182295 (at 10.90613412 -7.07864085 -0.36499841)
d(Node)/d(twist) check complete with 4 total errors (errmax= 3.1823e-02)
*********************************************************
Starting configuration sensitivity wrt "lesweep"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "lesweep" for ibody=17
iface= 4, ipnt= 56 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.05671235, fd= -0.06039201, err= 0.00367966 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (Y): anal= 0.06008556, fd= 0.06024964, err= -0.00016409 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.00208147, fd= -0.00092263, err= 0.00300410 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.01009710, fd= 0.00989259, err= 0.00020452 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.03940115, fd= 0.03860308, err= 0.00079808 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (Y): anal= 0.05926350, fd= 0.05942945, err= -0.00016595 (at 5.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 62 (X): anal= 0.00536304, fd= 0.00608649, err= -0.00072346 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= -0.02916899, fd= -0.03310379, err= 0.00393481 (at 4.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= -0.06251933, fd= -0.06264246, err= 0.00012313 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.05671235, fd= 0.06039201, err= -0.00367966 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.05588686, fd= -0.05600531, err= 0.00011845 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.00683830, fd= 0.00657839, err= 0.00025991 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.03279261, fd= -0.03154624, err= -0.00124637 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.03705654, fd= 0.03737288, err= -0.00031634 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.02819584, fd= -0.02843654, err= 0.00024070 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.06268578, fd= 0.06322091, err= -0.00053514 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(lesweep) check complete with 2396 total errors (errmax= 4.1018e-03)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.1111e-05)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.16471280, err= -0.16471280 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.16471280, err= -0.16471280 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(lesweep) check complete with 2 total errors (errmax= 1.6471e-01)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "lesweep" for ibody=19
iface= 4, ipnt= 56 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.05671235, fd= -0.06039201, err= 0.00367966 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (Y): anal= 0.06008556, fd= 0.06024964, err= -0.00016409 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (Y): anal= 0.00208147, fd= -0.00092263, err= 0.00300410 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.01009710, fd= 0.00989259, err= 0.00020452 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.03940115, fd= 0.03860308, err= 0.00079808 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 61 (Y): anal= 0.05926350, fd= 0.05942945, err= -0.00016595 (at 10.73190789 7.16589697 -0.31563807)
iface= 4, ipnt= 62 (X): anal= 0.00536304, fd= 0.00608649, err= -0.00072346 (at 9.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= -0.02916899, fd= -0.03310379, err= 0.00393481 (at 9.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= -0.06251933, fd= -0.06264247, err= 0.00012313 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.02305900, fd= 0.02455513, err= -0.00149613 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.05671235, fd= 0.06039201, err= -0.00367966 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00681020, fd= -0.00725207, err= 0.00044187 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (Y): anal= -0.05588686, fd= -0.05600531, err= 0.00011845 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= 0.00683830, fd= 0.00657839, err= 0.00025991 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= -0.03279261, fd= -0.03154624, err= -0.00124637 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= 0.03705654, fd= 0.03737288, err= -0.00031634 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.02819584, fd= -0.02843654, err= 0.00024070 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.06268578, fd= 0.06322091, err= -0.00053514 (at 10.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(lesweep) check complete with 2396 total errors (errmax= 4.1018e-03)
d(Edge)/d(lesweep) check complete with 0 total errors (errmax= 4.1111e-05)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.16471280, err= -0.16471280 (at 10.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.16471280, err= -0.16471280 (at 10.90613412 -7.07864085 -0.36499841)
d(Node)/d(lesweep) check complete with 2 total errors (errmax= 1.6471e-01)
*********************************************************
Starting configuration sensitivity wrt "dihedral"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "dihedral" for ibody=17
iface= 4, ipnt= 56 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.01256582, fd= 0.01303835, err= -0.00047252 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (Y): anal= 0.00028920, fd= 0.00052479, err= -0.00023559 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 62 (Y): anal= 0.00695126, fd= 0.00736879, err= -0.00041753 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= 0.03263187, fd= 0.03375013, err= -0.00111826 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= 0.04293736, fd= 0.04440878, err= -0.00147142 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= 0.09175187, fd= 0.09489611, err= -0.00314424 (at 4.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (X): anal= 0.04689532, fd= 0.04751717, err= -0.00062185 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Y): anal= 0.03586780, fd= 0.03634341, err= -0.00047562 (at 5.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Z): anal= 0.07973575, fd= 0.08079307, err= -0.00105732 (at 5.65681433 7.16190263 -0.24575686)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.01256582, fd= -0.01303835, err= 0.00047252 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (X): anal= 0.04702866, fd= 0.04762568, err= -0.00059702 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.03578349, fd= -0.03623775, err= 0.00045426 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.07955486, fd= 0.08056479, err= -0.00100993 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (X): anal= -0.00217610, fd= -0.00228736, err= 0.00011126 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 63 (Y): anal= -0.00880915, fd= -0.00925954, err= 0.00045039 (at 4.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 66 (Y): anal= 0.00238459, fd= 0.00224080, err= 0.00014379 (at 4.94376660 -7.40370254 -0.08307217)
iface= 8, ipnt= 67 (Y): anal= -0.00028920, fd= -0.00052479, err= 0.00023559 (at 4.83366809 -7.40964541 -0.04953438)
iface= 8, ipnt= 68 (X): anal= -0.01232811, fd= -0.01251827, err= 0.00019016 (at 5.65350741 -7.18730008 -0.32015890)
...too many errors to list
d(Face)/d(dihedral) check complete with 2992 total errors (errmax= 3.2356e-03)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 7.5551e-05)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= 0.12358291, err= -0.12358291 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= 0.12358291, err= -0.12358291 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(dihedral) check complete with 2 total errors (errmax= 1.2358e-01)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "dihedral" for ibody=19
iface= 4, ipnt= 56 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.01256582, fd= 0.01303835, err= -0.00047252 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (Y): anal= 0.00028920, fd= 0.00052479, err= -0.00023559 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 62 (Y): anal= 0.00695126, fd= 0.00736879, err= -0.00041753 (at 9.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 63 (X): anal= 0.03263187, fd= 0.03375013, err= -0.00111826 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Y): anal= 0.04293736, fd= 0.04440878, err= -0.00147142 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 63 (Z): anal= 0.09175187, fd= 0.09489611, err= -0.00314424 (at 9.90539695 7.30736076 0.05607183)
iface= 4, ipnt= 65 (X): anal= 0.04689532, fd= 0.04751717, err= -0.00062185 (at 10.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Y): anal= 0.03586780, fd= 0.03634341, err= -0.00047562 (at 10.65681433 7.16190263 -0.24575686)
iface= 4, ipnt= 65 (Z): anal= 0.07973575, fd= 0.08079307, err= -0.00105732 (at 10.65681433 7.16190263 -0.24575686)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= -0.00510921, fd= -0.00530134, err= 0.00019213 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.01256582, fd= -0.01303835, err= 0.00047252 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 60 (X): anal= 0.04702866, fd= 0.04762568, err= -0.00059702 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= -0.03578349, fd= -0.03623775, err= 0.00045426 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= 0.07955486, fd= 0.08056479, err= -0.00100993 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 63 (X): anal= -0.00217610, fd= -0.00228736, err= 0.00011126 (at 9.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 63 (Y): anal= -0.00880915, fd= -0.00925954, err= 0.00045039 (at 9.53258775 -7.37329442 0.03888700)
iface= 8, ipnt= 66 (Y): anal= 0.00238459, fd= 0.00224080, err= 0.00014379 (at 9.94376660 -7.40370254 -0.08307217)
iface= 8, ipnt= 67 (Y): anal= -0.00028920, fd= -0.00052479, err= 0.00023559 (at 9.83366809 -7.40964541 -0.04953438)
iface= 8, ipnt= 68 (X): anal= -0.01232811, fd= -0.01251827, err= 0.00019016 (at 10.65350741 -7.18730008 -0.32015890)
...too many errors to list
d(Face)/d(dihedral) check complete with 2992 total errors (errmax= 3.2356e-03)
d(Edge)/d(dihedral) check complete with 0 total errors (errmax= 7.5551e-05)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= 0.12358291, err= -0.12358291 (at 10.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= 0.12358291, err= -0.12358291 (at 10.90613412 -7.07864085 -0.36499841)
d(Node)/d(dihedral) check complete with 2 total errors (errmax= 1.2358e-01)
*********************************************************
Starting configuration sensitivity wrt "thick_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "thick_r" for ibody=17
iface= 1, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.32218219, fd= 0.32093127, err= 0.00125093 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.38611043, fd= -0.38430849, err= -0.00180194 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.25891894, fd= 0.25771060, err= 0.00120835 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 1.59532638, fd= 1.58788117, err= 0.00744522 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.30167342, fd= -0.29984687, err= -0.00182655 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.22124207, fd= 0.21990251, err= 0.00133956 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 1.62515649, fd= 1.61531661, err= 0.00983988 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.07639193, fd= -0.07590334, err= -0.00048859 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.01839778, fd= -0.01854478, err= 0.00014701 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.13477540, fd= -0.13585233, err= 0.00107694 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.02489732, fd= -0.02508153, err= 0.00018421 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.19945771, fd= -0.20093345, err= 0.00147575 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.03226680, fd= -0.03247914, err= 0.00021234 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.29685250, fd= -0.29880600, err= 0.00195351 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.03709914, fd= -0.03731565, err= 0.00021652 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.39451461, fd= -0.39681708, err= 0.00230246 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.02294293, fd= -0.02562126, err= 0.00267832 (at 4.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= 0.00928367, fd= 0.01036743, err= -0.00108376 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00530751, err= -0.00530751 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01305353, err= 0.01305353 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00156751, err= 0.00156751 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00010574, err= 0.00010574 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00835808, err= 0.00835808 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= -0.00029296, err= 0.00029296 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= -0.00114318, err= 0.00114318 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 62 (X): anal= -0.00000000, fd= 0.00242341, err= -0.00242341 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= 0.00000000, fd= -0.01318067, err= 0.01318067 (at 4.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Z): anal= 0.00000000, fd= -0.00076980, err= 0.00076980 (at 4.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.32218219, fd= -0.32093127, err= -0.00125093 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.44766133, fd= -0.44544913, err= -0.00221220 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.28329823, fd= -0.28189826, err= -0.00139997 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 1.50054088, fd= 1.49312569, err= 0.00741519 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.22341309, fd= -0.22195189, err= -0.00146119 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.18733801, fd= -0.18611276, err= -0.00122525 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 1.64887508, fd= 1.63809090, err= 0.01078418 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.07178472, fd= -0.07127312, err= -0.00051160 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.02659083, fd= -0.02678305, err= 0.00019222 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.21890634, fd= -0.22048877, err= 0.00158243 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.03342556, fd= -0.03364036, err= 0.00021480 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.31636902, fd= -0.31840210, err= 0.00203307 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.03147984, fd= -0.03498724, err= 0.00350740 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.01254845, fd= -0.01394656, err= 0.00139811 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.11256761, fd= -0.12510959, err= 0.01254198 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.05406119, fd= -0.05916512, err= 0.00510392 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.02012837, fd= -0.02202869, err= 0.00190032 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.24475672, fd= -0.26786423, err= 0.02310751 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00530751, err= -0.00530751 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01305353, err= -0.01305353 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00156751, err= 0.00156751 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00045944, err= 0.00045944 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00220321, err= -0.00220321 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Z): anal= 0.00000000, fd= 0.00011892, err= -0.00011892 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00166572, err= 0.00166572 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= 0.00000000, fd= 0.00126743, err= -0.00126743 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= -0.00000000, fd= -0.00281778, err= 0.00281778 (at 5.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 61 (X): anal= -0.00000000, fd= -0.00057463, err= 0.00057463 (at 5.05027723 -7.38982335 -0.11547034)
...too many errors to list
d(Face)/d(thick_r) check complete with 15049 total errors (errmax= 8.8575e-02)
iedge= 2, ipnt= 17 (X): anal= -0.29919256, fd= -0.29880654, err= -0.00038602 (at 0.00651424 0.00000000 0.06076412)
iedge= 2, ipnt= 17 (Z): anal= 0.14797341, fd= 0.14778249, err= 0.00019092 (at 0.00651424 0.00000000 0.06076412)
iedge= 2, ipnt= 18 (X): anal= -0.12349369, fd= -0.12272277, err= -0.00077092 (at -0.00327219 0.00000000 0.03098919)
iedge= 2, ipnt= 18 (Z): anal= 0.01797595, fd= 0.01786373, err= 0.00011222 (at -0.00327219 0.00000000 0.03098919)
iedge= 2, ipnt= 19 (X): anal= -0.03578710, fd= -0.03615783, err= 0.00037073 (at -0.00369714 0.00000000 0.01528693)
iedge= 5, ipnt= 1 (X): anal= -0.02575487, fd= -0.02622293, err= 0.00046806 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 1 (Z): anal= -0.01935237, fd= -0.01970408, err= 0.00035171 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 2 (X): anal= -0.07246479, fd= -0.07189989, err= -0.00056490 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 2 (Z): anal= -0.08657272, fd= -0.08589784, err= -0.00067488 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 3 (Z): anal= -0.28614142, fd= -0.28600370, err= -0.00013772 (at 0.04320575 -0.00000000 -0.03874276)
iedge= 5, ipnt= 10 (Z): anal= -1.85099094, fd= -1.85087984, err= -0.00011111 (at 1.39914476 0.00000000 0.07741770)
d(Edge)/d(thick_r) check complete with 11 total errors (errmax= 7.7092e-04)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 2.2204e-10)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "thick_r" for ibody=19
iface= 1, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.32218219, fd= 0.32093127, err= 0.00125093 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.38611043, fd= -0.38430849, err= -0.00180194 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.25891894, fd= 0.25771060, err= 0.00120835 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 1.59532638, fd= 1.58788117, err= 0.00744522 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.30167342, fd= -0.29984687, err= -0.00182655 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.22124207, fd= 0.21990251, err= 0.00133956 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 1.62515649, fd= 1.61531661, err= 0.00983988 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.07639193, fd= -0.07590334, err= -0.00048859 (at 6.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.01839778, fd= -0.01854478, err= 0.00014701 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.13477540, fd= -0.13585233, err= 0.00107694 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.02489732, fd= -0.02508153, err= 0.00018421 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.19945771, fd= -0.20093345, err= 0.00147575 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.03226680, fd= -0.03247914, err= 0.00021234 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.29685250, fd= -0.29880600, err= 0.00195351 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.03709914, fd= -0.03731565, err= 0.00021652 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.39451461, fd= -0.39681708, err= 0.00230246 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.02294293, fd= -0.02562126, err= 0.00267832 (at 9.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= 0.00928367, fd= 0.01036743, err= -0.00108376 (at 9.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00530751, err= -0.00530751 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01305353, err= 0.01305353 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00156751, err= 0.00156751 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00010574, err= 0.00010574 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00835808, err= 0.00835808 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= -0.00029296, err= 0.00029296 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= -0.00114318, err= 0.00114318 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 62 (X): anal= -0.00000000, fd= 0.00242341, err= -0.00242341 (at 9.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Y): anal= 0.00000000, fd= -0.01318067, err= 0.01318067 (at 9.59678945 7.38830427 0.02090272)
iface= 4, ipnt= 62 (Z): anal= 0.00000000, fd= -0.00076980, err= 0.00076980 (at 9.59678945 7.38830427 0.02090272)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.54756368, fd= -0.54543768, err= -0.00212601 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.32218219, fd= -0.32093127, err= -0.00125093 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.23699749, fd= 1.23219464, err= 0.00480285 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.44766133, fd= -0.44544913, err= -0.00221220 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.28329823, fd= -0.28189826, err= -0.00139997 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 1.50054088, fd= 1.49312569, err= 0.00741519 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.22341309, fd= -0.22195189, err= -0.00146119 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.18733801, fd= -0.18611276, err= -0.00122525 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 1.64887508, fd= 1.63809090, err= 0.01078418 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.07178472, fd= -0.07127312, err= -0.00051160 (at 6.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.02659083, fd= -0.02678305, err= 0.00019222 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.21890634, fd= -0.22048877, err= 0.00158243 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.03342556, fd= -0.03364036, err= 0.00021480 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.31636902, fd= -0.31840210, err= 0.00203307 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.03147984, fd= -0.03498724, err= 0.00350740 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.01254845, fd= -0.01394656, err= 0.00139811 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.11256761, fd= -0.12510959, err= 0.01254198 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.05406119, fd= -0.05916512, err= 0.00510392 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.02012837, fd= -0.02202869, err= 0.00190032 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.24475672, fd= -0.26786423, err= 0.02310751 (at 8.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00530751, err= -0.00530751 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01305353, err= -0.01305353 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00156751, err= 0.00156751 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00045944, err= 0.00045944 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00220321, err= -0.00220321 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Z): anal= 0.00000000, fd= 0.00011892, err= -0.00011892 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00166572, err= 0.00166572 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Y): anal= 0.00000000, fd= 0.00126743, err= -0.00126743 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 60 (Z): anal= -0.00000000, fd= -0.00281778, err= 0.00281778 (at 10.66934659 -7.15804018 -0.25140897)
iface= 8, ipnt= 61 (X): anal= -0.00000000, fd= -0.00057463, err= 0.00057463 (at 10.05027723 -7.38982335 -0.11547034)
...too many errors to list
d(Face)/d(thick_r) check complete with 15035 total errors (errmax= 8.8578e-02)
iedge= 2, ipnt= 17 (X): anal= -0.29919256, fd= -0.29880654, err= -0.00038602 (at 5.00651424 0.00000000 0.06076412)
iedge= 2, ipnt= 17 (Z): anal= 0.14797341, fd= 0.14778249, err= 0.00019092 (at 5.00651424 0.00000000 0.06076412)
iedge= 2, ipnt= 18 (X): anal= -0.12349369, fd= -0.12272277, err= -0.00077092 (at 4.99672781 0.00000000 0.03098919)
iedge= 2, ipnt= 18 (Z): anal= 0.01797595, fd= 0.01786373, err= 0.00011222 (at 4.99672781 0.00000000 0.03098919)
iedge= 2, ipnt= 19 (X): anal= -0.03578710, fd= -0.03615783, err= 0.00037073 (at 4.99630286 0.00000000 0.01528693)
iedge= 5, ipnt= 1 (X): anal= -0.02575487, fd= -0.02622293, err= 0.00046806 (at 5.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 1 (Z): anal= -0.01935237, fd= -0.01970408, err= 0.00035171 (at 5.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 2 (X): anal= -0.07246479, fd= -0.07189989, err= -0.00056490 (at 5.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 2 (Z): anal= -0.08657272, fd= -0.08589784, err= -0.00067488 (at 5.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 3 (Z): anal= -0.28614142, fd= -0.28600370, err= -0.00013772 (at 5.04320575 -0.00000000 -0.03874276)
iedge= 5, ipnt= 10 (Z): anal= -1.85099094, fd= -1.85087984, err= -0.00011111 (at 6.39914476 0.00000000 0.07741770)
d(Edge)/d(thick_r) check complete with 11 total errors (errmax= 7.7092e-04)
d(Node)/d(thick_r) check complete with 0 total errors (errmax= 1.0201e-09)
*********************************************************
Starting configuration sensitivity wrt "camber_r"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "camber_r" for ibody=17
iface= 1, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.36378508, fd= 0.36320127, err= 0.00058380 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.59376744, fd= -0.59239737, err= -0.00137007 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.39817013, fd= 0.39725138, err= 0.00091874 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 2.45332109, fd= 2.44766027, err= 0.00566083 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.49839628, fd= -0.49689512, err= -0.00150116 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.36551522, fd= 0.36441429, err= 0.00110093 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 2.68492983, fd= 2.67684286, err= 0.00808696 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.14731014, fd= -0.14686250, err= -0.00044764 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.04020978, fd= 0.04056030, err= -0.00035052 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 0.29456217, fd= 0.29712996, err= -0.00256779 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.05446204, fd= 0.05490125, err= -0.00043922 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 0.43630691, fd= 0.43982556, err= -0.00351865 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.07066671, fd= 0.07117299, err= -0.00050628 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 0.65012926, fd= 0.65478697, err= -0.00465771 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.08133800, fd= 0.08185423, err= -0.00051623 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 0.86495350, fd= 0.87044313, err= -0.00548963 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.04402842, fd= 0.04201606, err= 0.00201237 (at 4.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= -0.01781574, fd= -0.01700145, err= -0.00081429 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00542962, err= -0.00542962 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01335385, err= 0.01335385 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00160357, err= 0.00160357 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.00022172, err= -0.00022172 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.00050227, err= -0.00050227 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00017080, err= 0.00017080 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.01350052, err= 0.01350052 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.00030353, err= -0.00030353 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00118445, err= -0.00118445 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 60 (X): anal= 0.00000000, fd= 0.00056273, err= -0.00056273 (at 5.60739848 7.22087484 -0.28018266)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.36378508, fd= -0.36320127, err= -0.00058380 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.63252316, fd= -0.63101734, err= -0.00150582 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.40028628, fd= -0.39933334, err= -0.00095294 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 2.12018952, fd= 2.11514208, err= 0.00504744 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.39222265, fd= -0.39095647, err= -0.00126619 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.32888947, fd= -0.32782774, err= -0.00106173 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 2.89475500, fd= 2.88541006, err= 0.00934495 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.13843103, fd= -0.13796254, err= -0.00046849 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.05818095, fd= 0.05863926, err= -0.00045831 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 0.47896884, fd= 0.48274184, err= -0.00377300 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.07322095, fd= 0.07373309, err= -0.00051215 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 0.69302778, fd= 0.69787518, err= -0.00484740 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.06007931, fd= 0.05744401, err= 0.00263530 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.02394872, fd= 0.02289824, err= 0.00105048 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 0.21483539, fd= 0.20541192, err= 0.00942347 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.10135519, fd= 0.09752033, err= 0.00383487 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.03773714, fd= 0.03630932, err= 0.00142782 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 0.45887564, fd= 0.44151366, err= 0.01736198 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.00015273, err= 0.00015273 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00542962, err= -0.00542962 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01335385, err= -0.01335385 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00160357, err= 0.00160357 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.00051214, err= -0.00051214 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00128992, err= 0.00128992 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00013757, err= 0.00013757 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00014406, err= 0.00014406 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00069085, err= -0.00069085 (at 5.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00819076, err= 0.00819076 (at 5.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(camber_r) check complete with 14006 total errors (errmax= 9.4679e-02)
iedge= 2, ipnt= 9 (Z): anal= 3.75909378, fd= 3.75892497, err= 0.00016881 (at 1.58372538 0.00000000 0.51730414)
iedge= 2, ipnt= 10 (Z): anal= 3.72128671, fd= 3.72149822, err= -0.00021151 (at 1.33283756 0.00000000 0.52170653)
iedge= 2, ipnt= 18 (X): anal= -0.11594716, fd= -0.11608667, err= 0.00013951 (at -0.00327219 0.00000000 0.03098919)
d(Edge)/d(camber_r) check complete with 3 total errors (errmax= 2.1151e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9071e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "camber_r" for ibody=19
iface= 1, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.36378508, fd= 0.36320127, err= 0.00058380 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.59376744, fd= -0.59239737, err= -0.00137007 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.39817013, fd= 0.39725138, err= 0.00091874 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 2.45332109, fd= 2.44766027, err= 0.00566083 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.49839628, fd= -0.49689512, err= -0.00150116 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.36551522, fd= 0.36441429, err= 0.00110093 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 2.68492983, fd= 2.67684286, err= 0.00808696 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.14731014, fd= -0.14686250, err= -0.00044764 (at 6.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.04020978, fd= 0.04056030, err= -0.00035052 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 0.29456217, fd= 0.29712996, err= -0.00256779 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.05446204, fd= 0.05490125, err= -0.00043922 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 0.43630691, fd= 0.43982556, err= -0.00351865 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.07066671, fd= 0.07117299, err= -0.00050628 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 0.65012926, fd= 0.65478697, err= -0.00465771 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.08133800, fd= 0.08185423, err= -0.00051623 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 0.86495350, fd= 0.87044313, err= -0.00548963 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.04402842, fd= 0.04201606, err= 0.00201237 (at 9.27194907 6.72580083 -0.15439759)
iface= 2, ipnt= 206 (Y): anal= -0.01781574, fd= -0.01700145, err= -0.00081429 (at 9.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= 0.00542962, err= -0.00542962 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= -0.01335385, err= 0.01335385 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00160357, err= 0.00160357 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.00022172, err= -0.00022172 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.00050227, err= -0.00050227 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= -0.00017080, err= 0.00017080 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= -0.01350052, err= 0.01350052 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.00030353, err= -0.00030353 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00118445, err= -0.00118445 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 60 (X): anal= 0.00000000, fd= 0.00056273, err= -0.00056273 (at 10.60739848 7.22087484 -0.28018266)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.61826973, fd= -0.61727753, err= -0.00099220 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.36378508, fd= -0.36320127, err= -0.00058380 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 1.39672906, fd= 1.39448758, err= 0.00224148 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.63252316, fd= -0.63101734, err= -0.00150582 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.40028628, fd= -0.39933334, err= -0.00095294 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 2.12018952, fd= 2.11514208, err= 0.00504744 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.39222265, fd= -0.39095647, err= -0.00126619 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.32888947, fd= -0.32782774, err= -0.00106173 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 2.89475500, fd= 2.88541006, err= 0.00934495 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.13843103, fd= -0.13796254, err= -0.00046849 (at 6.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.05818095, fd= 0.05863926, err= -0.00045831 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 0.47896884, fd= 0.48274184, err= -0.00377300 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.07322095, fd= 0.07373309, err= -0.00051215 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 0.69302778, fd= 0.69787518, err= -0.00484740 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.06007931, fd= 0.05744401, err= 0.00263530 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.02394872, fd= 0.02289824, err= 0.00105048 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 0.21483539, fd= 0.20541192, err= 0.00942347 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.10135519, fd= 0.09752033, err= 0.00383487 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.03773714, fd= 0.03630932, err= 0.00142782 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 0.45887564, fd= 0.44151366, err= 0.01736198 (at 8.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.00015273, err= 0.00015273 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= 0.00542962, err= -0.00542962 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= 0.01335385, err= -0.01335385 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00160357, err= 0.00160357 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.00051214, err= -0.00051214 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.00128992, err= 0.00128992 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00013757, err= 0.00013757 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= -0.00014406, err= 0.00014406 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 59 (Y): anal= 0.00000000, fd= 0.00069085, err= -0.00069085 (at 10.15422833 -7.36950463 -0.14697826)
iface= 8, ipnt= 60 (X): anal= -0.00000000, fd= -0.00819076, err= 0.00819076 (at 10.66934659 -7.15804018 -0.25140897)
...too many errors to list
d(Face)/d(camber_r) check complete with 13978 total errors (errmax= 9.4679e-02)
iedge= 2, ipnt= 9 (Z): anal= 3.75909378, fd= 3.75892497, err= 0.00016881 (at 6.58372538 0.00000000 0.51730414)
iedge= 2, ipnt= 10 (Z): anal= 3.72128671, fd= 3.72149822, err= -0.00021151 (at 6.33283756 0.00000000 0.52170653)
iedge= 2, ipnt= 18 (X): anal= -0.11594716, fd= -0.11608667, err= 0.00013951 (at 4.99672781 0.00000000 0.03098919)
d(Edge)/d(camber_r) check complete with 3 total errors (errmax= 2.1151e-04)
d(Node)/d(camber_r) check complete with 0 total errors (errmax= 1.9071e-08)
*********************************************************
Starting configuration sensitivity wrt "thick_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "thick_t" for ibody=17
iface= 1, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.00595773, fd= 0.00759914, err= -0.00164141 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.01196130, fd= -0.01415504, err= 0.00219374 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.00802104, fd= 0.00949212, err= -0.00147108 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.04942156, fd= 0.05848562, err= -0.00906406 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.01338067, fd= -0.01549876, err= 0.00211810 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.00981315, fd= 0.01136653, err= -0.00155338 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.07208350, fd= 0.08349399, err= -0.01141049 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00447414, fd= -0.00494163, err= 0.00046749 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.10420917, fd= -0.10356229, err= -0.00064688 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.76339838, fd= -0.75865957, err= -0.00473882 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.09123776, fd= -0.09042718, err= -0.00081058 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.73092500, fd= -0.72443130, err= -0.00649369 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.07411498, fd= -0.07318064, err= -0.00093434 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.68185315, fd= -0.67325730, err= -0.00859585 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.05948071, fd= -0.05852800, err= -0.00095271 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= -0.00751276, fd= -0.00739243, err= -0.00012033 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.63252170, fd= -0.62239054, err= -0.01013116 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.24649418, fd= -0.24266219, err= -0.00383199 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.00473764, fd= 0.85482888, err= -0.85956652 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00004804, fd= 0.17467467, err= -0.17462662 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00010884, fd= 0.39569895, err= -0.39559011 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00001290, fd= -0.04690739, err= 0.04689449 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00003642, fd= 0.02167649, err= -0.02171291 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00287899, fd= 1.71336170, err= -1.71624069 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= -0.00000675, fd= 0.00401437, err= -0.00402112 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.00013169, fd= 0.36288913, err= -0.36302083 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.00595773, fd= -0.00759914, err= 0.00164141 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.01337680, fd= -0.01617711, err= 0.00280031 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.00846538, fd= -0.01023753, err= 0.00177215 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.04483845, fd= 0.05422497, err= -0.00938651 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.01162837, fd= -0.01322832, err= 0.00159996 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.00975070, fd= -0.01109231, err= 0.00134161 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.08582185, fd= 0.09763016, err= -0.01180831 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00472043, fd= -0.00520999, err= 0.00048957 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.08759780, fd= -0.08675198, err= -0.00084582 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.72114014, fd= -0.71417704, err= -0.00696310 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.07099952, fd= -0.07005435, err= -0.00094517 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.67200226, fd= -0.66305632, err= -0.00894593 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.22781822, fd= -0.22279996, err= -0.00501827 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.09081255, fd= -0.08881218, err= -0.00200037 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.81464678, fd= -0.79670215, err= -0.01794463 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.16818393, fd= -0.16088126, err= -0.00730267 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.06261920, fd= -0.05990023, err= -0.00271897 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.76143615, fd= -0.72837403, err= -0.03306212 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.00003185, fd= 0.10203706, err= -0.10200521 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.00006778, fd= -0.21716859, err= 0.21710080 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.00000854, fd= -0.02737692, err= 0.02736837 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00473764, fd= -0.85482888, err= 0.85956652 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.00004547, fd= 0.27070396, err= -0.27065849 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.00011453, fd= -0.68181715, err= 0.68170262 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.00001221, fd= -0.07271636, err= 0.07270414 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00019031, fd= 0.32562083, err= -0.32581115 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(thick_t) check complete with 16484 total errors (errmax= 1.7891e+00)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= -0.00026931, err= 0.00026931 (at -0.00327219 0.00000000 0.03098919)
iedge= 4, ipnt= 1 (X): anal=-2877890.49138031, fd= 0.04015703, err=-2877890.53153734 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-64496474.85165953, fd= 0.00000000, err=-64496474.85165953 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-5487003.81736399, fd= 0.07656365, err=-5487003.89392764 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-7179194.46519370, fd= 0.06926994, err=-7179194.53446364 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-164206876.58229858, fd= 0.00000000, err=-164206876.58229858 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-13958432.58338326, fd= 0.13468081, err=-13958432.71806407 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-17580153.88726233, fd= 0.09658210, err=-17580153.98384443 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-409235487.58106333, fd= -0.00000000, err=-409235487.58106333 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-34830360.81750005, fd= 0.19135153, err=-34830361.00885157 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-99043135.25013138, fd= 0.12220877, err=-99043135.37234016 (at 5.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00014982, err= -0.00014982 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00011258, err= -0.00011258 (at 0.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= -0.00016347, err= 0.00016347 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00019530, err= 0.00019530 (at 0.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011773, err= 0.00011773 (at 1.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=226586.08811240, fd= 0.00000000, err=226586.08811240 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-9414.86035025, fd= 0.00104868, err=-9414.86139893 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=1382737.70668959, fd= -0.05436935, err=1382737.76105894 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=2442628.89453401, fd= 0.00000000, err=2442628.89453400 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=152399.95570746, fd= -0.00599238, err=152399.96169984 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=2760598.68840712, fd= -0.00000000, err=2760598.68840712 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=572953.83582989, fd= -0.06948560, err=572953.90531549 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (at 4.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.02674852, fd= 0.00357871, err= 0.02316981 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.10726270, fd= 0.01035683, err= 0.09690587 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.19353661, fd= 0.02440975, err= 0.16912687 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354170, err= 0.04876121 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.18682575, fd= 0.03307516, err= -0.21990091 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181837, err= -0.02370360 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.29135140, fd= 0.02420725, err= -0.31555865 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.28182308, fd= 0.01105180, err= -0.29287489 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910942 (at 5.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-2877890.49138031, fd= 0.04015703, err=-2877890.53153734 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=64496474.85165953, fd= -0.00000000, err=64496474.85165953 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-5487003.81736399, fd= 0.07656365, err=-5487003.89392764 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-7179194.46519371, fd= 0.06926994, err=-7179194.53446365 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=164206876.58229858, fd= -0.00000000, err=164206876.58229858 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-13958432.58338327, fd= 0.13468081, err=-13958432.71806408 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-17580153.88726236, fd= 0.09658210, err=-17580153.98384446 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=409235487.58106333, fd= 0.00000000, err=409235487.58106333 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-34830360.81750008, fd= 0.19135153, err=-34830361.00885160 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-99043135.25013149, fd= 0.12220877, err=-99043135.37234026 (at 5.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-226586.08811240, fd= -0.00000000, err=-226586.08811240 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-9414.86035025, fd= 0.00104868, err=-9414.86139893 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=1382737.70668959, fd= -0.05436935, err=1382737.76105894 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=-2442628.89453401, fd= -0.00000000, err=-2442628.89453400 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=152399.95570746, fd= -0.00599238, err=152399.96169984 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=-2760598.68840712, fd= 0.00000000, err=-2760598.68840712 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=572953.83582989, fd= -0.06948560, err=572953.90531549 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (at 4.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.02674852, fd= -0.00357871, err= -0.02316981 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.10726270, fd= -0.01035683, err= -0.09690587 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.19353661, fd= -0.02440975, err= -0.16912687 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354170, err= 0.04876121 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.18682575, fd= -0.03307516, err= 0.21990091 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181837, err= -0.02370360 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.29135140, fd= -0.02420725, err= 0.31555865 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.28182308, fd= -0.01105180, err= 0.29287489 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910942 (at 5.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(thick_t) check complete with 318 total errors (errmax= 1.0014e+11)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.01142003, err= -0.01142003 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.03786517, err= -0.03786517 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00195245, err= 0.00195245 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.01142003, err= -0.01142003 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.03786517, err= 0.03786517 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00195245, err= 0.00195245 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(thick_t) check complete with 6 total errors (errmax= 3.7865e-02)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "thick_t" for ibody=19
iface= 1, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.00595773, fd= 0.00759914, err= -0.00164141 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.01196130, fd= -0.01415504, err= 0.00219374 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.00802104, fd= 0.00949212, err= -0.00147108 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.04942156, fd= 0.05848562, err= -0.00906406 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.01338067, fd= -0.01549876, err= 0.00211810 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.00981315, fd= 0.01136653, err= -0.00155338 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.07208350, fd= 0.08349399, err= -0.01141049 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00447414, fd= -0.00494163, err= 0.00046749 (at 6.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= -0.10420917, fd= -0.10356229, err= -0.00064688 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= -0.76339838, fd= -0.75865957, err= -0.00473882 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= -0.09123776, fd= -0.09042718, err= -0.00081058 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= -0.73092500, fd= -0.72443130, err= -0.00649369 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= -0.07411498, fd= -0.07318064, err= -0.00093434 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= -0.68185315, fd= -0.67325730, err= -0.00859585 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= -0.05948071, fd= -0.05852800, err= -0.00095271 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= -0.00751276, fd= -0.00739243, err= -0.00012033 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= -0.63252170, fd= -0.62239054, err= -0.01013116 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= -0.24649418, fd= -0.24266219, err= -0.00383199 (at 9.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= -0.00473764, fd= 0.85482888, err= -0.85956652 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00004804, fd= 0.17467467, err= -0.17462662 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00010884, fd= 0.39569895, err= -0.39559011 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00001290, fd= -0.04690739, err= 0.04689449 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00003642, fd= 0.02167649, err= -0.02171291 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00287899, fd= 1.71336170, err= -1.71624069 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= -0.00000675, fd= 0.00401437, err= -0.00402112 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.00013169, fd= 0.36288913, err= -0.36302083 (at 10.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01012544, fd= -0.01291509, err= 0.00278965 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.00595773, fd= -0.00759914, err= 0.00164141 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.02287432, fd= 0.02917640, err= -0.00630208 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.01337680, fd= -0.01617711, err= 0.00280031 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Y): anal= -0.00846538, fd= -0.01023753, err= 0.00177215 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.04483845, fd= 0.05422497, err= -0.00938651 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.01162837, fd= -0.01322832, err= 0.00159996 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.00975070, fd= -0.01109231, err= 0.00134161 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.08582185, fd= 0.09763016, err= -0.01180831 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00472043, fd= -0.00520999, err= 0.00048957 (at 6.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= -0.08759780, fd= -0.08675198, err= -0.00084582 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= -0.72114014, fd= -0.71417704, err= -0.00696310 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= -0.07099952, fd= -0.07005435, err= -0.00094517 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= -0.67200226, fd= -0.66305632, err= -0.00894593 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= -0.22781822, fd= -0.22279996, err= -0.00501827 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= -0.09081255, fd= -0.08881218, err= -0.00200037 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= -0.81464678, fd= -0.79670215, err= -0.01794463 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= -0.16818393, fd= -0.16088126, err= -0.00730267 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= -0.06261920, fd= -0.05990023, err= -0.00271897 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= -0.76143615, fd= -0.72837403, err= -0.03306212 (at 8.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= 0.00003185, fd= 0.10203706, err= -0.10200521 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= -0.00006778, fd= -0.21716859, err= 0.21710081 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= -0.00000854, fd= -0.02737692, err= 0.02736837 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00192631, fd= -0.34756980, err= 0.34949610 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00473764, fd= -0.85482888, err= 0.85956652 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00056891, fd= 0.10265066, err= -0.10321957 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= 0.00004547, fd= 0.27070396, err= -0.27065849 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= -0.00011453, fd= -0.68181715, err= 0.68170262 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= -0.00001221, fd= -0.07271636, err= 0.07270414 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00019031, fd= 0.32562083, err= -0.32581115 (at 10.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(thick_t) check complete with 16470 total errors (errmax= 1.7891e+00)
iedge= 2, ipnt= 18 (X): anal= 0.00000000, fd= -0.00026931, err= 0.00026931 (at 4.99672781 0.00000000 0.03098919)
iedge= 4, ipnt= 1 (X): anal=-2877890.49138023, fd= 0.04015703, err=-2877890.53153727 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-64496474.85165953, fd= 0.00000000, err=-64496474.85165953 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-5487003.81736403, fd= 0.07656365, err=-5487003.89392767 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-7179194.46519368, fd= 0.06926993, err=-7179194.53446362 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-164206876.58229858, fd= 0.00000000, err=-164206876.58229858 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-13958432.58338327, fd= 0.13468081, err=-13958432.71806408 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-17580153.88726261, fd= 0.09658210, err=-17580153.98384470 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-409235487.58106333, fd= -0.00000000, err=-409235487.58106333 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-34830360.81749991, fd= 0.19135153, err=-34830361.00885143 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-99043135.25013115, fd= 0.12220877, err=-99043135.37233992 (at 10.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 1 (X): anal= 0.00000000, fd= 0.00014982, err= -0.00014982 (at 5.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 1 (Z): anal= 0.00000000, fd= 0.00011258, err= -0.00011258 (at 5.00734080 -0.00000000 -0.01294936)
iedge= 5, ipnt= 2 (X): anal= 0.00000000, fd= -0.00016347, err= 0.00016347 (at 5.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00019530, err= 0.00019530 (at 5.01761705 -0.00000000 -0.02370720)
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= -0.00011773, err= 0.00011773 (at 6.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=226586.08811240, fd= 0.00000000, err=226586.08811240 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-9414.86035026, fd= 0.00104868, err=-9414.86139894 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=1382737.70668960, fd= -0.05436935, err=1382737.76105895 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=2442628.89453401, fd= 0.00000000, err=2442628.89453400 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=152399.95570740, fd= -0.00599238, err=152399.96169978 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=2760598.68840712, fd= -0.00000000, err=2760598.68840712 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=572953.83582988, fd= -0.06948560, err=572953.90531548 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (at 9.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.02674852, fd= 0.00357871, err= 0.02316981 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.10726270, fd= 0.01035683, err= 0.09690587 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.19353661, fd= 0.02440975, err= 0.16912687 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354171, err= 0.04876121 (at 10.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.18682575, fd= 0.03307517, err= -0.21990091 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181836, err= -0.02370360 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.29135140, fd= 0.02420725, err= -0.31555866 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.28182308, fd= 0.01105180, err= -0.29287489 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910942 (at 10.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-2877890.49138024, fd= 0.04015703, err=-2877890.53153727 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=64496474.85165953, fd= -0.00000000, err=64496474.85165953 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-5487003.81736403, fd= 0.07656365, err=-5487003.89392768 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-7179194.46519369, fd= 0.06926993, err=-7179194.53446362 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=164206876.58229858, fd= -0.00000000, err=164206876.58229858 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-13958432.58338328, fd= 0.13468081, err=-13958432.71806409 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-17580153.88726264, fd= 0.09658210, err=-17580153.98384474 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=409235487.58106333, fd= 0.00000000, err=409235487.58106333 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-34830360.81749994, fd= 0.19135153, err=-34830361.00885146 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-99043135.25013125, fd= 0.12220877, err=-99043135.37234002 (at 10.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=129183.30103308, fd= -0.01438915, err=129183.31542223 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-226586.08811240, fd= -0.00000000, err=-226586.08811240 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-9414.86035026, fd= 0.00104868, err=-9414.86139894 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=1382737.70668960, fd= -0.05436935, err=1382737.76105895 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=-2442628.89453401, fd= -0.00000000, err=-2442628.89453400 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=152399.95570740, fd= -0.00599238, err=152399.96169978 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=1329395.99649930, fd= -0.16122394, err=1329396.15772324 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=-2760598.68840712, fd= 0.00000000, err=-2760598.68840712 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=572953.83582988, fd= -0.06948560, err=572953.90531548 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=17337.18093366, fd= -0.30037669, err=17337.48131035 (at 9.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.04803503, fd= 0.00642665, err= 0.04160838 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.02674852, fd= -0.00357871, err= -0.02316981 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.14778214, fd= 0.01977193, err= 0.12801022 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.09290381, fd= 0.00897039, err= 0.08393342 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.10726270, fd= -0.01035683, err= -0.09690587 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.22045781, fd= 0.02128646, err= 0.19917134 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.10131394, fd= 0.01277819, err= 0.08853576 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.19353661, fd= -0.02440975, err= -0.16912687 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.15028856, fd= 0.01895510, err= 0.13133346 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.06230291, fd= 0.01354171, err= 0.04876121 (at 10.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.03508736, fd= 0.00621178, err= -0.04129914 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.18682575, fd= -0.03307517, err= 0.21990091 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.08897176, fd= -0.01575134, err= 0.10472310 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.02188524, fd= 0.00181836, err= -0.02370360 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.29135140, fd= -0.02420725, err= 0.31555866 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.26128327, fd= -0.02170901, err= 0.28299228 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.06170036, fd= -0.00241960, err= 0.06411996 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.28182308, fd= -0.01105180, err= 0.29287489 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.56201187, fd= -0.02203952, err= 0.58405139 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.14519004, fd= -0.00391938, err= 0.14910942 (at 10.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(thick_t) check complete with 318 total errors (errmax= 1.0014e+11)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.01142003, err= -0.01142003 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.03786517, err= -0.03786517 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00195245, err= 0.00195245 (at 10.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.01142003, err= -0.01142003 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.03786517, err= 0.03786517 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00195245, err= 0.00195245 (at 10.90613412 -7.07864085 -0.36499841)
d(Node)/d(thick_t) check complete with 6 total errors (errmax= 3.7865e-02)
*********************************************************
Starting configuration sensitivity wrt "camber_t"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "camber_t" for ibody=17
iface= 1, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.01019077, fd= 0.01004465, err= 0.00014611 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 0.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.02179864, fd= -0.02209757, err= 0.00029893 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.01461779, fd= 0.01481824, err= -0.00020045 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.09006736, fd= 0.09130245, err= -0.00123510 (at 0.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.02493663, fd= -0.02546548, err= 0.00052885 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.01828810, fd= 0.01867595, err= -0.00038785 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.13433709, fd= 0.13718609, err= -0.00284900 (at 1.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00890037, fd= -0.00923713, err= 0.00033676 (at 1.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.22880456, fd= 0.22781966, err= 0.00098490 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 1.67613884, fd= 1.66892382, err= 0.00721502 (at 4.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.20042524, fd= 0.19919098, err= 0.00123426 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 1.60564899, fd= 1.59576106, err= 0.00988793 (at 4.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.16292519, fd= 0.16150237, err= 0.00142282 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 1.49890143, fd= 1.48581157, err= 0.01308987 (at 4.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.13083896, fd= 0.12938811, err= 0.00145086 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= 0.01652572, fd= 0.01634247, err= 0.00018325 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 1.39134996, fd= 1.37592147, err= 0.01542849 (at 4.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.41073671, fd= 0.40977990, err= 0.00095681 (at 4.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.59629847, fd= 0.00553562, err= 0.59076285 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= -0.02833119, fd= -0.00012767, err= -0.02820352 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= -0.06418001, fd= -0.00028921, err= -0.06389080 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= 0.00760810, fd= 0.00003428, err= 0.00757382 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00008817, fd= 0.00006018, err= -0.00014835 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00696887, fd= 0.00475700, err= -0.01172587 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.04734834, fd= -0.00026797, err= -0.04708037 (at 5.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= -0.18476378, fd= -0.00104567, err= -0.18371811 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.01019077, fd= -0.01004465, err= -0.00014611 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 0.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.02380271, fd= -0.02392120, err= 0.00011850 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.07978562, fd= 0.08018281, err= -0.00039719 (at 0.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.02217121, fd= -0.02278540, err= 0.00061419 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.01859117, fd= -0.01910618, err= 0.00051501 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.16363214, fd= 0.16816507, err= -0.00453293 (at 1.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00938809, fd= -0.00974070, err= 0.00035261 (at 1.63262151 -0.85626212 0.47159445)
iface= 5, ipnt= 207 (Y): anal= -0.01584950, fd= -0.01644480, err= 0.00059529 (at 1.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.19245717, fd= 0.19116922, err= 0.00128795 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 1.58438447, fd= 1.57378157, err= 0.01060290 (at 4.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.15609729, fd= 0.15465796, err= 0.00143933 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 1.47744271, fd= 1.46381960, err= 0.01362311 (at 4.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.37794091, fd= 0.37668783, err= 0.00125308 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.15065423, fd= 0.15015473, err= 0.00049950 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 1.35146495, fd= 1.34698410, err= 0.00448084 (at 4.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.27492677, fd= 0.27310314, err= 0.00182363 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.10236230, fd= 0.10168332, err= 0.00067898 (at 3.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 1.24470382, fd= 1.23644752, err= 0.00825630 (at 3.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.01519767, fd= -0.00004068, err= -0.01515699 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.03234566, fd= 0.00008659, err= 0.03225908 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00407759, fd= 0.00001092, err= 0.00406667 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.59629847, fd= -0.00553562, err= -0.59076285 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.04402374, fd= -0.00029509, err= -0.04372865 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.11088179, fd= 0.00074323, err= 0.11013856 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.01182563, fd= 0.00007927, err= 0.01174637 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.03678076, fd= -0.00007175, err= -0.03670901 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(camber_t) check complete with 16143 total errors (errmax= 1.7368e+00)
iedge= 4, ipnt= 1 (X): anal=-6048561.95208942, fd= 0.09394856, err=-6048562.04603797 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-135554471.44912693, fd= -0.00000000, err=-135554471.44912693 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-11532225.64238683, fd= 0.17912290, err=-11532225.82150973 (at 5.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-18147753.46483111, fd= 0.17844379, err=-18147753.64327489 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-415086390.04582071, fd= -0.00000000, err=-415086390.04582071 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-35284486.93050832, fd= 0.34694638, err=-35284487.27745470 (at 5.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-47272341.38041763, fd= 0.25534340, err=-47272341.63576103 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-1100418107.61084104, fd= -0.00000000, err=-1100418107.61084104 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-93657468.38888383, fd= 0.50589448, err=-93657468.89477831 (at 5.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-273170131.74856323, fd= 0.32501459, err=-273170132.07357782 (at 5.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00018646, err= -0.00018646 (at 1.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=168711.16394013, fd= -0.00000000, err=168711.16394013 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-7010.11036458, fd= -0.00556089, err=-7010.10480370 (at 4.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=-889655.47716123, fd= 0.14871645, err=-889655.62587769 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=-1571591.22950884, fd= 0.00000000, err=-1571591.22950884 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=-98054.35597679, fd= 0.01639095, err=-98054.37236774 (at 4.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789372, err=-2135435.48045090 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=-4434404.56192405, fd= -0.00000000, err=-4434404.56192404 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 4.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (at 4.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.06237389, fd= -0.00329393, err= 0.06566783 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738796 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.27195031, fd= -0.00212749, err= 0.27407780 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.49198867, fd= -0.00058927, err= 0.49257794 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252667, err= 0.15757580 (at 5.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.45633084, fd= 0.00009675, err= -0.45642759 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.70236774, fd= 0.00055882, err= -0.70292656 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.65595900, fd= 0.00203749, err= -0.65799649 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 5.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-6048561.95208942, fd= 0.09394856, err=-6048562.04603798 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=135554471.44912693, fd= 0.00000000, err=135554471.44912693 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-11532225.64238684, fd= 0.17912290, err=-11532225.82150974 (at 5.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-18147753.46483112, fd= 0.17844379, err=-18147753.64327491 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=415086390.04582071, fd= 0.00000000, err=415086390.04582071 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-35284486.93050835, fd= 0.34694638, err=-35284487.27745473 (at 5.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-47272341.38041773, fd= 0.25534340, err=-47272341.63576113 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=1100418107.61084104, fd= 0.00000000, err=1100418107.61084104 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-93657468.38888393, fd= 0.50589448, err=-93657468.89477842 (at 5.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-273170131.74856353, fd= 0.32501459, err=-273170132.07357812 (at 5.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-168711.16394013, fd= 0.00000000, err=-168711.16394013 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-7010.11036458, fd= -0.00556089, err=-7010.10480370 (at 4.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=-889655.47716123, fd= 0.14871645, err=-889655.62587769 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=1571591.22950884, fd= -0.00000000, err=1571591.22950884 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=-98054.35597679, fd= 0.01639095, err=-98054.37236774 (at 4.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789372, err=-2135435.48045090 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=4434404.56192405, fd= 0.00000000, err=4434404.56192404 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 4.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (at 4.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.06237389, fd= 0.00329393, err= -0.06566783 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738796 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.27195031, fd= 0.00212749, err= -0.27407780 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.49198867, fd= 0.00058927, err= -0.49257794 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252667, err= 0.15757580 (at 5.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.45633084, fd= -0.00009675, err= 0.45642759 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.70236774, fd= -0.00055882, err= 0.70292656 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.65595900, fd= -0.00203749, err= 0.65799649 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 5.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(camber_t) check complete with 313 total errors (errmax= 2.2089e+11)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 2.1285e-08)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "camber_t" for ibody=19
iface= 1, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Y): anal= 0.01019077, fd= 0.01004465, err= 0.00014611 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 5.54155456 0.33145630 0.31076170)
iface= 1, ipnt= 205 (X): anal= -0.02179864, fd= -0.02209757, err= 0.00029893 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Y): anal= 0.01461779, fd= 0.01481824, err= -0.00020045 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 205 (Z): anal= 0.09006736, fd= 0.09130245, err= -0.00123510 (at 5.96234826 0.46956310 0.42288185)
iface= 1, ipnt= 206 (X): anal= -0.02493663, fd= -0.02546548, err= 0.00052885 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Y): anal= 0.01828810, fd= 0.01867595, err= -0.00038785 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 206 (Z): anal= 0.13433709, fd= 0.13718609, err= -0.00284900 (at 6.16737044 0.63529125 0.44196151)
iface= 1, ipnt= 207 (X): anal= -0.00890037, fd= -0.00923713, err= 0.00033676 (at 6.59147793 0.77339804 0.47590981)
...too many errors to list
iface= 2, ipnt= 202 (X): anal= 0.22880456, fd= 0.22781966, err= 0.00098490 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 202 (Z): anal= 1.67613884, fd= 1.66892382, err= 0.00721502 (at 9.67249629 6.49101928 -0.24645692)
iface= 2, ipnt= 203 (X): anal= 0.20042524, fd= 0.19919098, err= 0.00123426 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 203 (Z): anal= 1.60564899, fd= 1.59576106, err= 0.00988793 (at 9.55340895 6.21480569 -0.23197753)
iface= 2, ipnt= 204 (X): anal= 0.16292519, fd= 0.16150237, err= 0.00142282 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 204 (Z): anal= 1.49890143, fd= 1.48581157, err= 0.01308987 (at 9.37477794 5.80048531 -0.21025845)
iface= 2, ipnt= 205 (X): anal= 0.13083896, fd= 0.12938811, err= 0.00145086 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Y): anal= 0.01652572, fd= 0.01634247, err= 0.00018325 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 205 (Z): anal= 1.39134996, fd= 1.37592147, err= 0.01542849 (at 9.19614692 5.38616493 -0.18853938)
iface= 2, ipnt= 206 (X): anal= 0.41073671, fd= 0.40977990, err= 0.00095681 (at 9.27194907 6.72580083 -0.15439759)
...too many errors to list
iface= 4, ipnt= 56 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.59629847, fd= 0.00553562, err= 0.59076285 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= -0.02833119, fd= -0.00012767, err= -0.02820352 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= -0.06418001, fd= -0.00028921, err= -0.06389080 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= 0.00760810, fd= 0.00003428, err= 0.00757382 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= -0.00008817, fd= 0.00006018, err= -0.00014835 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= -0.00696887, fd= 0.00475700, err= -0.01172587 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= -0.04734834, fd= -0.00026797, err= -0.04708037 (at 10.25640701 7.34383711 -0.17767001)
iface= 4, ipnt= 59 (Y): anal= -0.18476378, fd= -0.00104567, err= -0.18371811 (at 10.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 5, ipnt= 204 (X): anal= -0.01731968, fd= -0.01707136, err= -0.00024833 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Y): anal= -0.01019077, fd= -0.01004465, err= -0.00014611 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 204 (Z): anal= 0.03912678, fd= 0.03856579, err= 0.00056099 (at 5.54155456 -0.33145630 0.31076170)
iface= 5, ipnt= 205 (X): anal= -0.02380271, fd= -0.02392120, err= 0.00011850 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 205 (Z): anal= 0.07978562, fd= 0.08018281, err= -0.00039719 (at 5.84560848 -0.46956310 0.39140584)
iface= 5, ipnt= 206 (X): anal= -0.02217121, fd= -0.02278540, err= 0.00061419 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Y): anal= -0.01859117, fd= -0.01910618, err= 0.00051501 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 206 (Z): anal= 0.16363214, fd= 0.16816507, err= -0.00453293 (at 6.32786145 -0.71815532 0.45735595)
iface= 5, ipnt= 207 (X): anal= -0.00938809, fd= -0.00974070, err= 0.00035261 (at 6.63262151 -0.85626212 0.47159445)
iface= 5, ipnt= 207 (Y): anal= -0.01584950, fd= -0.01644480, err= 0.00059529 (at 6.63262151 -0.85626212 0.47159445)
...too many errors to list
iface= 6, ipnt= 202 (X): anal= 0.19245717, fd= 0.19116922, err= 0.00128795 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 202 (Z): anal= 1.58438447, fd= 1.57378157, err= 0.01060290 (at 9.51768275 -6.13194162 -0.22763372)
iface= 6, ipnt= 203 (X): anal= 0.15609729, fd= 0.15465796, err= 0.00143933 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 203 (Z): anal= 1.47744271, fd= 1.46381960, err= 0.01362311 (at 9.33905173 -5.71762124 -0.20591464)
iface= 6, ipnt= 204 (X): anal= 0.37794091, fd= 0.37668783, err= 0.00125308 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Y): anal= 0.15065423, fd= 0.15015473, err= 0.00049950 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 204 (Z): anal= 1.35146495, fd= 1.34698410, err= 0.00448084 (at 9.19638133 -6.57388336 -0.15019983)
iface= 6, ipnt= 205 (X): anal= 0.27492677, fd= 0.27310314, err= 0.00182363 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Y): anal= 0.10236230, fd= 0.10168332, err= 0.00067898 (at 8.92845935 -6.03526686 -0.13531685)
iface= 6, ipnt= 205 (Z): anal= 1.24470382, fd= 1.23644752, err= 0.00825630 (at 8.92845935 -6.03526686 -0.13531685)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.01519767, fd= -0.00004068, err= -0.01515699 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.03234566, fd= 0.00008659, err= 0.03225908 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00407759, fd= 0.00001092, err= 0.00406667 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= -0.24245243, fd= -0.00225076, err= -0.24020167 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= -0.59629847, fd= -0.00553562, err= -0.59076285 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= 0.07160548, fd= 0.00066474, err= 0.07094074 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.04402374, fd= -0.00029509, err= -0.04372865 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.11088179, fd= 0.00074323, err= 0.11013856 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.01182563, fd= 0.00007927, err= 0.01174637 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.03678076, fd= -0.00007175, err= -0.03670901 (at 10.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(camber_t) check complete with 16108 total errors (errmax= 1.7368e+00)
iedge= 4, ipnt= 1 (X): anal=-6048561.95208926, fd= 0.09394856, err=-6048562.04603782 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Y): anal=-135554471.44912693, fd= -0.00000000, err=-135554471.44912693 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 1 (Z): anal=-11532225.64238691, fd= 0.17912290, err=-11532225.82150981 (at 10.85046972 7.07106781 -0.33195634)
iedge= 4, ipnt= 2 (X): anal=-18147753.46483105, fd= 0.17844379, err=-18147753.64327484 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Y): anal=-415086390.04582071, fd= -0.00000000, err=-415086390.04582071 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 2 (Z): anal=-35284486.93050835, fd= 0.34694638, err=-35284487.27745473 (at 10.79582849 7.07106781 -0.30357826)
iedge= 4, ipnt= 3 (X): anal=-47272341.38041840, fd= 0.25534340, err=-47272341.63576180 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Y): anal=-1100418107.61084104, fd= -0.00000000, err=-1100418107.61084104 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 3 (Z): anal=-93657468.38888346, fd= 0.50589448, err=-93657468.89477794 (at 10.74096759 7.07106781 -0.27562744)
iedge= 4, ipnt= 4 (X): anal=-273170131.74856257, fd= 0.32501459, err=-273170132.07357717 (at 10.68589998 7.07106781 -0.24808616)
...too many errors to list
iedge= 5, ipnt= 10 (Z): anal= 0.00000000, fd= 0.00018646, err= -0.00018646 (at 6.39914476 0.00000000 0.07741770)
iedge= 7, ipnt= 1 (X): anal=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Y): anal=168711.16394013, fd= -0.00000000, err=168711.16394013 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 1 (Z): anal=-7010.11036459, fd= -0.00556089, err=-7010.10480370 (at 9.07991582 7.07106781 0.10824202)
iedge= 7, ipnt= 2 (X): anal=-889655.47716124, fd= 0.14871645, err=-889655.62587769 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Y): anal=-1571591.22950884, fd= 0.00000000, err=-1571591.22950884 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 2 (Z): anal=-98054.35597675, fd= 0.01639095, err=-98054.37236770 (at 9.08021879 7.07106781 0.09284805)
iedge= 7, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789371, err=-2135435.48045090 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Y): anal=-4434404.56192405, fd= -0.00000000, err=-4434404.56192404 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 9.08832560 7.07106781 0.06322158)
iedge= 7, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (at 9.12281267 7.07106781 0.01251290)
...too many errors to list
iedge= 9, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Y): anal= 0.06237389, fd= -0.00329394, err= 0.06566783 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738795 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= 0.27195031, fd= -0.00212749, err= 0.27407780 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= 0.49198867, fd= -0.00058927, err= 0.49257794 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252668, err= 0.15757580 (at 10.90629014 7.07849533 -0.36424482)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= -0.45633084, fd= 0.00009675, err= -0.45642759 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= -0.70236774, fd= 0.00055882, err= -0.70292656 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= -0.65595900, fd= 0.00203749, err= -0.65799649 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 10.90377736 7.07396588 -0.36829084)
...too many errors to list
iedge= 15, ipnt= 1 (X): anal=-6048561.95208927, fd= 0.09394856, err=-6048562.04603783 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Y): anal=135554471.44912693, fd= 0.00000000, err=135554471.44912693 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 1 (Z): anal=-11532225.64238692, fd= 0.17912290, err=-11532225.82150982 (at 10.85046972 -7.07106781 -0.33195634)
iedge= 15, ipnt= 2 (X): anal=-18147753.46483107, fd= 0.17844379, err=-18147753.64327485 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Y): anal=415086390.04582071, fd= 0.00000000, err=415086390.04582071 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 2 (Z): anal=-35284486.93050838, fd= 0.34694638, err=-35284487.27745476 (at 10.79582849 -7.07106781 -0.30357826)
iedge= 15, ipnt= 3 (X): anal=-47272341.38041849, fd= 0.25534340, err=-47272341.63576189 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Y): anal=1100418107.61084104, fd= 0.00000000, err=1100418107.61084104 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 3 (Z): anal=-93657468.38888355, fd= 0.50589448, err=-93657468.89477803 (at 10.74096759 -7.07106781 -0.27562744)
iedge= 15, ipnt= 4 (X): anal=-273170131.74856287, fd= 0.32501459, err=-273170132.07357746 (at 10.68589998 -7.07106781 -0.24808616)
...too many errors to list
iedge= 17, ipnt= 1 (X): anal=96187.21508477, fd= 0.07630210, err=96187.13878267 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Y): anal=-168711.16394013, fd= 0.00000000, err=-168711.16394013 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 1 (Z): anal=-7010.11036459, fd= -0.00556089, err=-7010.10480370 (at 9.07991582 -7.07106781 0.10824202)
iedge= 17, ipnt= 2 (X): anal=-889655.47716124, fd= 0.14871645, err=-889655.62587769 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Y): anal=1571591.22950884, fd= -0.00000000, err=1571591.22950884 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 2 (Z): anal=-98054.35597675, fd= 0.01639095, err=-98054.37236770 (at 9.08021879 -7.07106781 0.09284805)
iedge= 17, ipnt= 3 (X): anal=-2135435.22255719, fd= 0.25789371, err=-2135435.48045090 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Y): anal=4434404.56192405, fd= 0.00000000, err=4434404.56192404 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 3 (Z): anal=-920347.13896555, fd= 0.11114912, err=-920347.25011467 (at 9.08832560 -7.07106781 0.06322158)
iedge= 17, ipnt= 4 (X): anal=-47259.73580205, fd= 0.37399057, err=-47260.10979262 (at 9.12281267 -7.07106781 0.01251290)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.12890056, fd= 0.01097415, err= 0.11792641 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Y): anal= -0.06237389, fd= 0.00329394, err= -0.06566783 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 1 (Z): anal= 0.36050795, fd= -0.00229841, err= 0.36280636 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.24605415, fd= 0.00866620, err= 0.23738795 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= -0.27195031, fd= 0.00212749, err= -0.27407780 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= 0.56208062, fd= -0.00123347, err= 0.56331409 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.26275497, fd= 0.00489670, err= 0.25785827 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= -0.49198867, fd= 0.00058927, err= -0.49257794 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= 0.38194512, fd= -0.00056043, err= 0.38250555 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.16010247, fd= 0.00252668, err= 0.15757580 (at 10.90629014 -7.07849533 -0.36424482)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.08811505, fd= -0.00239433, err= -0.08572072 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= 0.45633084, fd= -0.00009675, err= 0.45642759 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.21827019, fd= 0.00090632, err= 0.21736387 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.05733264, fd= -0.00453139, err= -0.05280125 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= 0.70236774, fd= -0.00055882, err= 0.70292656 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.63234255, fd= 0.00195962, err= 0.63038293 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= 0.13592702, fd= -0.00813008, err= 0.14405710 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= 0.65595900, fd= -0.00203749, err= 0.65799649 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 1.31551748, fd= 0.00334022, err= 1.31217726 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (X): anal= 0.31580113, fd= -0.01062994, err= 0.32643106 (at 10.90377736 -7.07396588 -0.36829084)
...too many errors to list
d(Edge)/d(camber_t) check complete with 313 total errors (errmax= 2.2089e+11)
d(Node)/d(camber_t) check complete with 0 total errors (errmax= 2.1285e-08)
*********************************************************
Starting configuration sensitivity wrt "tiprad"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "tiprad" for ibody=17
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= -0.03409525, err= 0.03409525 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= 0.08385541, err= -0.08385541 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= 0.01006963, err= -0.01006963 (at 4.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.01746944, err= -0.01746944 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.03957436, err= -0.03957436 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00469127, err= 0.00469127 (at 5.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= 0.00215428, err= -0.00215428 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= 0.17027975, err= -0.17027975 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= 0.00000000, fd= 0.00039896, err= -0.00039896 (at 4.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.03625385, err= -0.03625385 (at 5.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.00000000, fd= 0.01020439, err= -0.01020439 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.02171832, err= 0.02171832 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00273788, err= 0.00273788 (at 5.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= -0.03409525, err= 0.03409525 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= -0.08385541, err= 0.08385541 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= 0.01006963, err= -0.01006963 (at 4.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.02707333, err= -0.02707333 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.06818911, err= 0.06818911 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00727242, err= 0.00727242 (at 5.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= 0.03250669, err= -0.03250669 (at 5.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(tiprad) check complete with 3904 total errors (errmax= 1.7227e-01)
iedge= 9, ipnt= 1 (Z): anal= -0.00000000, fd= 0.00028942, err= -0.00028942 (at 5.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.00000000, fd= 0.00044837, err= -0.00044837 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.00000000, fd= 0.00051767, err= -0.00051767 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.00000000, fd= 0.00106397, err= -0.00106397 (at 5.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.00000000, fd= 0.00109058, err= -0.00109058 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.00000000, fd= 0.00208329, err= -0.00208329 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.00000000, fd= 0.00161775, err= -0.00161776 (at 5.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.00000000, fd= 0.00130259, err= -0.00130259 (at 5.90629014 7.07849533 -0.36424482)
iedge= 9, ipnt= 4 (Y): anal= -0.00000000, fd= 0.00323164, err= -0.00323164 (at 5.90629014 7.07849533 -0.36424482)
iedge= 9, ipnt= 4 (Z): anal= -0.00000000, fd= 0.00105723, err= -0.00105723 (at 5.90629014 7.07849533 -0.36424482)
iedge= 11, ipnt= 1 (X): anal= -0.00000000, fd= 0.00059751, err= -0.00059751 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= 0.00000000, fd= 0.00318152, err= -0.00318152 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.00000000, fd= -0.00151513, err= 0.00151513 (at 5.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.00000000, fd= 0.00015519, err= -0.00015519 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= 0.00000000, fd= 0.00206599, err= -0.00206599 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00185278, err= 0.00185278 (at 5.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= -0.00000000, fd= -0.00012094, err= 0.00012094 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= 0.00000000, fd= 0.00055240, err= -0.00055240 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 5.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 5.90377736 7.07396588 -0.36829084)
iedge= 18, ipnt= 1 (Z): anal= -0.00000000, fd= 0.00028942, err= -0.00028942 (at 5.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.00000000, fd= 0.00044837, err= -0.00044837 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.00000000, fd= -0.00051767, err= 0.00051767 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.00000000, fd= 0.00106397, err= -0.00106397 (at 5.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.00000000, fd= 0.00109058, err= -0.00109058 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.00000000, fd= -0.00208329, err= 0.00208329 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.00000000, fd= 0.00161775, err= -0.00161776 (at 5.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.00000000, fd= 0.00130259, err= -0.00130259 (at 5.90629014 -7.07849533 -0.36424482)
iedge= 18, ipnt= 4 (Y): anal= 0.00000000, fd= -0.00323164, err= 0.00323164 (at 5.90629014 -7.07849533 -0.36424482)
iedge= 18, ipnt= 4 (Z): anal= -0.00000000, fd= 0.00105723, err= -0.00105723 (at 5.90629014 -7.07849533 -0.36424482)
iedge= 20, ipnt= 1 (X): anal= -0.00000000, fd= 0.00059751, err= -0.00059751 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= -0.00000000, fd= -0.00318152, err= 0.00318152 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.00000000, fd= -0.00151513, err= 0.00151513 (at 5.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.00000000, fd= 0.00015519, err= -0.00015519 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= -0.00000000, fd= -0.00206599, err= 0.00206599 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00185278, err= 0.00185278 (at 5.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= -0.00000000, fd= -0.00012094, err= 0.00012094 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= -0.00000000, fd= -0.00055240, err= 0.00055240 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 5.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 5.90377736 -7.07396588 -0.36829084)
d(Edge)/d(tiprad) check complete with 40 total errors (errmax= 3.2316e-03)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.00114200, err= -0.00114200 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.00378652, err= -0.00378652 (at 5.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00019525, err= 0.00019525 (at 5.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.00114200, err= -0.00114200 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.00378652, err= 0.00378652 (at 5.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00019525, err= 0.00019525 (at 5.90613412 -7.07864085 -0.36499841)
d(Node)/d(tiprad) check complete with 6 total errors (errmax= 3.7865e-03)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "tiprad" for ibody=19
iface= 4, ipnt= 56 (X): anal= -0.00000000, fd= -0.03409525, err= 0.03409525 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Y): anal= 0.00000000, fd= 0.08385541, err= -0.08385541 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 56 (Z): anal= 0.00000000, fd= 0.01006963, err= -0.01006963 (at 9.39548054 7.32553542 0.07437975)
iface= 4, ipnt= 57 (X): anal= 0.00000000, fd= 0.01746944, err= -0.01746944 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Y): anal= 0.00000000, fd= 0.03957436, err= -0.03957436 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 57 (Z): anal= -0.00000000, fd= -0.00469127, err= 0.00469127 (at 10.75680129 7.15419377 -0.32269649)
iface= 4, ipnt= 58 (X): anal= 0.00000000, fd= 0.00215428, err= -0.00215428 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Y): anal= 0.00000000, fd= 0.17027975, err= -0.17027975 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 58 (Z): anal= 0.00000000, fd= 0.00039896, err= -0.00039896 (at 9.83366809 7.40964541 -0.04953438)
iface= 4, ipnt= 59 (X): anal= 0.00000000, fd= 0.03625385, err= -0.03625385 (at 10.25640701 7.34383711 -0.17767001)
...too many errors to list
iface= 8, ipnt= 56 (X): anal= -0.00000000, fd= 0.01020439, err= -0.01020439 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Y): anal= 0.00000000, fd= -0.02171832, err= 0.02171832 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 56 (Z): anal= 0.00000000, fd= -0.00273788, err= 0.00273788 (at 10.83147408 -7.11759515 -0.34384453)
iface= 8, ipnt= 57 (X): anal= 0.00000000, fd= -0.03409525, err= 0.03409525 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Y): anal= 0.00000000, fd= -0.08385541, err= 0.08385541 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 57 (Z): anal= -0.00000000, fd= 0.01006963, err= -0.01006963 (at 9.39548054 -7.32553542 0.07437975)
iface= 8, ipnt= 58 (X): anal= -0.00000000, fd= 0.02707333, err= -0.02707333 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Y): anal= 0.00000000, fd= -0.06818911, err= 0.06818911 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 58 (Z): anal= 0.00000000, fd= -0.00727242, err= 0.00727242 (at 10.63230953 -7.21034128 -0.28730244)
iface= 8, ipnt= 59 (X): anal= -0.00000000, fd= 0.03250669, err= -0.03250669 (at 10.15422833 -7.36950463 -0.14697826)
...too many errors to list
d(Face)/d(tiprad) check complete with 3904 total errors (errmax= 1.7227e-01)
iedge= 9, ipnt= 1 (Z): anal= -0.00000000, fd= 0.00028942, err= -0.00028942 (at 10.90567096 7.07396589 -0.36122388)
iedge= 9, ipnt= 2 (X): anal= 0.00000000, fd= 0.00044837, err= -0.00044837 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Y): anal= -0.00000000, fd= 0.00051767, err= -0.00051767 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 2 (Z): anal= -0.00000000, fd= 0.00106397, err= -0.00106397 (at 10.90618976 7.07642276 -0.36217974)
iedge= 9, ipnt= 3 (X): anal= 0.00000000, fd= 0.00109057, err= -0.00109057 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Y): anal= -0.00000000, fd= 0.00208329, err= -0.00208329 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 3 (Z): anal= -0.00000000, fd= 0.00161775, err= -0.00161776 (at 10.90635241 7.07806438 -0.36350517)
iedge= 9, ipnt= 4 (X): anal= 0.00000000, fd= 0.00130259, err= -0.00130259 (at 10.90629014 7.07849533 -0.36424482)
iedge= 9, ipnt= 4 (Y): anal= -0.00000000, fd= 0.00323164, err= -0.00323164 (at 10.90629014 7.07849533 -0.36424482)
iedge= 9, ipnt= 4 (Z): anal= -0.00000000, fd= 0.00105723, err= -0.00105723 (at 10.90629014 7.07849533 -0.36424482)
iedge= 11, ipnt= 1 (X): anal= -0.00000000, fd= 0.00059751, err= -0.00059751 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Y): anal= 0.00000000, fd= 0.00318152, err= -0.00318152 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 1 (Z): anal= 0.00000000, fd= -0.00151513, err= 0.00151513 (at 10.90589031 7.07849532 -0.36573701)
iedge= 11, ipnt= 2 (X): anal= -0.00000000, fd= 0.00015519, err= -0.00015519 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Y): anal= 0.00000000, fd= 0.00206599, err= -0.00206599 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00185278, err= 0.00185278 (at 10.90556810 7.07806437 -0.36643221)
iedge= 11, ipnt= 3 (X): anal= -0.00000000, fd= -0.00012094, err= 0.00012094 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Y): anal= 0.00000000, fd= 0.00055240, err= -0.00055240 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 10.90474052 7.07642274 -0.36758834)
iedge= 11, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 10.90377736 7.07396588 -0.36829084)
iedge= 18, ipnt= 1 (Z): anal= -0.00000000, fd= 0.00028942, err= -0.00028942 (at 10.90567096 -7.07396589 -0.36122388)
iedge= 18, ipnt= 2 (X): anal= 0.00000000, fd= 0.00044837, err= -0.00044837 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Y): anal= 0.00000000, fd= -0.00051767, err= 0.00051767 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 2 (Z): anal= -0.00000000, fd= 0.00106397, err= -0.00106397 (at 10.90618976 -7.07642276 -0.36217974)
iedge= 18, ipnt= 3 (X): anal= 0.00000000, fd= 0.00109057, err= -0.00109057 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Y): anal= 0.00000000, fd= -0.00208329, err= 0.00208329 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 3 (Z): anal= -0.00000000, fd= 0.00161775, err= -0.00161776 (at 10.90635241 -7.07806438 -0.36350517)
iedge= 18, ipnt= 4 (X): anal= 0.00000000, fd= 0.00130259, err= -0.00130259 (at 10.90629014 -7.07849533 -0.36424482)
iedge= 18, ipnt= 4 (Y): anal= 0.00000000, fd= -0.00323164, err= 0.00323164 (at 10.90629014 -7.07849533 -0.36424482)
iedge= 18, ipnt= 4 (Z): anal= -0.00000000, fd= 0.00105723, err= -0.00105723 (at 10.90629014 -7.07849533 -0.36424482)
iedge= 20, ipnt= 1 (X): anal= -0.00000000, fd= 0.00059751, err= -0.00059751 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Y): anal= -0.00000000, fd= -0.00318152, err= 0.00318152 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 1 (Z): anal= 0.00000000, fd= -0.00151513, err= 0.00151513 (at 10.90589031 -7.07849532 -0.36573701)
iedge= 20, ipnt= 2 (X): anal= -0.00000000, fd= 0.00015519, err= -0.00015519 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Y): anal= -0.00000000, fd= -0.00206599, err= 0.00206599 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 2 (Z): anal= 0.00000000, fd= -0.00185278, err= 0.00185278 (at 10.90556810 -7.07806437 -0.36643221)
iedge= 20, ipnt= 3 (X): anal= -0.00000000, fd= -0.00012094, err= 0.00012094 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Y): anal= -0.00000000, fd= -0.00055240, err= 0.00055240 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 3 (Z): anal= 0.00000000, fd= -0.00110160, err= 0.00110160 (at 10.90474052 -7.07642274 -0.36758834)
iedge= 20, ipnt= 4 (Z): anal= 0.00000000, fd= -0.00029257, err= 0.00029257 (at 10.90377736 -7.07396588 -0.36829084)
d(Edge)/d(tiprad) check complete with 40 total errors (errmax= 3.2316e-03)
inode= 7, ipnt= 0 (X): anal= 0.00000000, fd= 0.00114200, err= -0.00114200 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Y): anal= 0.00000000, fd= 0.00378652, err= -0.00378652 (at 10.90613412 7.07864085 -0.36499841)
inode= 7, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00019525, err= 0.00019525 (at 10.90613412 7.07864085 -0.36499841)
inode= 11, ipnt= 0 (X): anal= 0.00000000, fd= 0.00114200, err= -0.00114200 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Y): anal= 0.00000000, fd= -0.00378652, err= 0.00378652 (at 10.90613412 -7.07864085 -0.36499841)
inode= 11, ipnt= 0 (Z): anal= 0.00000000, fd= -0.00019525, err= 0.00019525 (at 10.90613412 -7.07864085 -0.36499841)
d(Node)/d(tiprad) check complete with 6 total errors (errmax= 3.7865e-03)
*********************************************************
Starting configuration sensitivity wrt "dxwing"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=17
Computing finite difference sensitivities for ibody=17
Comparing configuration sensitivities wrt "dxwing" for ibody=17
d(Face)/d(dxwing) check complete with 0 total errors (errmax= 4.2790e-09)
d(Edge)/d(dxwing) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(dxwing) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=19
Computing finite difference sensitivities for ibody=19
Comparing configuration sensitivities wrt "dxwing" for ibody=19
d(Face)/d(dxwing) check complete with 0 total errors (errmax= 5.1756e-09)
d(Edge)/d(dxwing) check complete with 0 total errors (errmax= 2.7531e-09)
d(Node)/d(dxwing) check complete with 0 total errors (errmax= 1.0280e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 5.749 sec
Sensitivity checks complete with 160017 total errors (max config err= 2.2089e+11) with 0 suppressions
real 0m43.170s
user 0m44.404s
sys 0m0.032s
++++ set +x
data/basic/designG6 failed (known sens failure)
--------------------------------------------------------------------------------------------------
( 121 / 180 )
data/basic/designH1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designH1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "X" for ibody=3
d(Face)/d(X) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(X) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(X) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "Y"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "Y" for ibody=3
d(Face)/d(Y) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(Y) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(Y) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "Z"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "Z" for ibody=3
d(Face)/d(Z) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(Z) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(Z) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.014 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 0 suppressions
real 0m0.205s
user 0m0.184s
sys 0m0.068s
++++ set +x
data/basic/designH1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 122 / 180 )
data/basic/designH2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designH2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "X" for ibody=4
d(Face)/d(X) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 4, iedge= 10
Tests suppressed for ibody= 4, iedge= 15
Tests suppressed for ibody= 4, iedge= 19
Tests suppressed for ibody= 4, iedge= 20
d(Edge)/d(X) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 4, inode= 9
Tests suppressed for ibody= 4, inode= 10
Tests suppressed for ibody= 4, inode= 11
Tests suppressed for ibody= 4, inode= 12
d(Node)/d(X) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "Y"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "Y" for ibody=4
d(Face)/d(Y) check complete with 0 total errors (errmax= 8.2267e-11)
Tests suppressed for ibody= 4, iedge= 10
Tests suppressed for ibody= 4, iedge= 15
Tests suppressed for ibody= 4, iedge= 19
Tests suppressed for ibody= 4, iedge= 20
d(Edge)/d(Y) check complete with 0 total errors (errmax= 8.2267e-11)
Tests suppressed for ibody= 4, inode= 9
Tests suppressed for ibody= 4, inode= 10
Tests suppressed for ibody= 4, inode= 11
Tests suppressed for ibody= 4, inode= 12
d(Node)/d(Y) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "Z"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "Z" for ibody=4
d(Face)/d(Z) check complete with 0 total errors (errmax= 8.2267e-11)
Tests suppressed for ibody= 4, iedge= 10
Tests suppressed for ibody= 4, iedge= 15
Tests suppressed for ibody= 4, iedge= 19
Tests suppressed for ibody= 4, iedge= 20
d(Edge)/d(Z) check complete with 0 total errors (errmax= 8.2267e-11)
Tests suppressed for ibody= 4, inode= 9
Tests suppressed for ibody= 4, inode= 10
Tests suppressed for ibody= 4, inode= 11
Tests suppressed for ibody= 4, inode= 12
d(Node)/d(Z) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.017 sec
Sensitivity checks complete with 0 total errors (max config err= 8.2267e-11) with 24 suppressions
real 0m0.364s
user 0m0.320s
sys 0m0.072s
++++ set +x
data/basic/designH2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 123 / 180 )
data/basic/designH3.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designH3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "Y"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "Y" for ibody=4
Tests suppressed for ibody= 4, iface= 3
Tests suppressed for ibody= 4, iface= 6
Tests suppressed for ibody= 4, iface= 9
d(Face)/d(Y) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 4, iedge= 2
Tests suppressed for ibody= 4, iedge= 5
Tests suppressed for ibody= 4, iedge= 8
Tests suppressed for ibody= 4, iedge= 9
Tests suppressed for ibody= 4, iedge= 10
Tests suppressed for ibody= 4, iedge= 11
Tests suppressed for ibody= 4, iedge= 15
Tests suppressed for ibody= 4, iedge= 16
Tests suppressed for ibody= 4, iedge= 21
Tests suppressed for ibody= 4, iedge= 22
d(Edge)/d(Y) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 4, inode= 2
Tests suppressed for ibody= 4, inode= 3
Tests suppressed for ibody= 4, inode= 5
Tests suppressed for ibody= 4, inode= 7
Tests suppressed for ibody= 4, inode= 8
Tests suppressed for ibody= 4, inode= 9
Tests suppressed for ibody= 4, inode= 11
Tests suppressed for ibody= 4, inode= 14
d(Node)/d(Y) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.008 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 21 suppressions
real 0m0.231s
user 0m0.200s
sys 0m0.112s
++++ set +x
data/basic/designH3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 124 / 180 )
data/basic/designH4.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designH4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "Y"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "Y" for ibody=4
Tests suppressed for ibody= 4, iface= 1
Tests suppressed for ibody= 4, iface= 6
d(Face)/d(Y) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 4, iedge= 5
Tests suppressed for ibody= 4, iedge= 6
Tests suppressed for ibody= 4, iedge= 7
Tests suppressed for ibody= 4, iedge= 8
d(Edge)/d(Y) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 4, inode= 5
Tests suppressed for ibody= 4, inode= 6
Tests suppressed for ibody= 4, inode= 7
Tests suppressed for ibody= 4, inode= 8
d(Node)/d(Y) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "Z"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "Z" for ibody=4
Tests suppressed for ibody= 4, iface= 1
Tests suppressed for ibody= 4, iface= 6
d(Face)/d(Z) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 4, iedge= 5
Tests suppressed for ibody= 4, iedge= 6
Tests suppressed for ibody= 4, iedge= 7
Tests suppressed for ibody= 4, iedge= 8
d(Edge)/d(Z) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 4, inode= 5
Tests suppressed for ibody= 4, inode= 6
Tests suppressed for ibody= 4, inode= 7
Tests suppressed for ibody= 4, inode= 8
d(Node)/d(Z) check complete with 0 total errors (errmax= 1.3978e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.012 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 20 suppressions
real 0m0.372s
user 0m0.396s
sys 0m0.152s
++++ set +x
data/basic/designH4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 125 / 180 )
data/basic/designI1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designI1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "XSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "XSIZE" for ibody=4
d(Face)/d(XSIZE) check complete with 0 total errors (errmax= 1.8754e-10)
d(Edge)/d(XSIZE) check complete with 0 total errors (errmax= 1.8754e-10)
d(Node)/d(XSIZE) check complete with 0 total errors (errmax= 1.5888e-09)
*********************************************************
Starting configuration sensitivity wrt "YSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "YSIZE" for ibody=4
d(Face)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
*********************************************************
Starting configuration sensitivity wrt "ZSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "ZSIZE" for ibody=4
d(Face)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "DX" for ibody=4
d(Face)/d(DX) check complete with 0 total errors (errmax= 2.5655e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 2.5655e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.5888e-09)
*********************************************************
Starting configuration sensitivity wrt "RAD"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "RAD" for ibody=4
d(Face)/d(RAD) check complete with 0 total errors (errmax= 3.7416e-11)
d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11)
d(Node)/d(RAD) check complete with 0 total errors (errmax= 6.7515e-12)
*********************************************************
Starting configuration sensitivity wrt "ROUND"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "ROUND" for ibody=4
d(Face)/d(ROUND) check complete with 0 total errors (errmax= 4.1159e-11)
d(Edge)/d(ROUND) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(ROUND) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "SCALE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "SCALE" for ibody=4
d(Face)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
d(Edge)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
d(Node)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.030 sec
Sensitivity checks complete with 0 total errors (max config err= 1.5888e-09) with 0 suppressions
real 0m0.661s
user 0m0.580s
sys 0m0.336s
++++ set +x
data/basic/designI1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 126 / 180 )
data/basic/designI2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designI2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "XSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "XSIZE" for ibody=4
d(Face)/d(XSIZE) check complete with 0 total errors (errmax= 1.2828e-10)
d(Edge)/d(XSIZE) check complete with 0 total errors (errmax= 5.3786e-10)
d(Node)/d(XSIZE) check complete with 0 total errors (errmax= 1.8701e-09)
*********************************************************
Starting configuration sensitivity wrt "YSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "YSIZE" for ibody=4
d(Face)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
*********************************************************
Starting configuration sensitivity wrt "ZSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "ZSIZE" for ibody=4
d(Face)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "DX" for ibody=4
d(Face)/d(DX) check complete with 0 total errors (errmax= 3.1836e-11)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 5.5511e-11)
d(Node)/d(DX) check complete with 0 total errors (errmax= 8.8818e-10)
*********************************************************
Starting configuration sensitivity wrt "RAD"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "RAD" for ibody=4
d(Face)/d(RAD) check complete with 0 total errors (errmax= 4.2727e-11)
d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11)
d(Node)/d(RAD) check complete with 0 total errors (errmax= 6.7513e-12)
*********************************************************
Starting configuration sensitivity wrt "ROUND"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "ROUND" for ibody=4
d(Face)/d(ROUND) check complete with 0 total errors (errmax= 3.1836e-11)
d(Edge)/d(ROUND) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(ROUND) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "SCALE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "SCALE" for ibody=4
d(Face)/d(SCALE) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(SCALE) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(SCALE) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.026 sec
Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions
real 0m0.651s
user 0m0.580s
sys 0m0.336s
++++ set +x
data/basic/designI2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 127 / 180 )
data/basic/designI3.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designI3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "XSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "XSIZE" for ibody=5
d(Face)/d(XSIZE) check complete with 0 total errors (errmax= 1.8754e-10)
d(Edge)/d(XSIZE) check complete with 0 total errors (errmax= 1.8754e-10)
d(Node)/d(XSIZE) check complete with 0 total errors (errmax= 1.1102e-09)
*********************************************************
Starting configuration sensitivity wrt "YSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "YSIZE" for ibody=5
d(Face)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
*********************************************************
Starting configuration sensitivity wrt "ZSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "ZSIZE" for ibody=5
d(Face)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "DX" for ibody=5
d(Face)/d(DX) check complete with 0 total errors (errmax= 2.5655e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 2.5655e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.2978e-09)
*********************************************************
Starting configuration sensitivity wrt "RAD"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "RAD" for ibody=5
d(Face)/d(RAD) check complete with 0 total errors (errmax= 4.1254e-11)
d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11)
d(Node)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11)
*********************************************************
Starting configuration sensitivity wrt "SCALE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "SCALE" for ibody=5
d(Face)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
d(Edge)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
d(Node)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.030 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2978e-09) with 0 suppressions
real 0m0.673s
user 0m0.596s
sys 0m0.320s
++++ set +x
data/basic/designI3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 128 / 180 )
data/basic/designI4.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designI4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "XSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "XSIZE" for ibody=4
d(Face)/d(XSIZE) check complete with 0 total errors (errmax= 1.8754e-10)
d(Edge)/d(XSIZE) check complete with 0 total errors (errmax= 1.8754e-10)
d(Node)/d(XSIZE) check complete with 0 total errors (errmax= 1.5888e-09)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "XSIZE" for ibody=8
d(Face)/d(XSIZE) check complete with 0 total errors (errmax= 1.2828e-10)
d(Edge)/d(XSIZE) check complete with 0 total errors (errmax= 5.3786e-10)
d(Node)/d(XSIZE) check complete with 0 total errors (errmax= 1.8701e-09)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "XSIZE" for ibody=13
d(Face)/d(XSIZE) check complete with 0 total errors (errmax= 1.8754e-10)
d(Edge)/d(XSIZE) check complete with 0 total errors (errmax= 1.8754e-10)
d(Node)/d(XSIZE) check complete with 0 total errors (errmax= 1.1102e-09)
*********************************************************
Starting configuration sensitivity wrt "YSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "YSIZE" for ibody=4
d(Face)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "YSIZE" for ibody=8
d(Face)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "YSIZE" for ibody=13
d(Face)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(YSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
*********************************************************
Starting configuration sensitivity wrt "ZSIZE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "ZSIZE" for ibody=4
d(Face)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "ZSIZE" for ibody=8
d(Face)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "ZSIZE" for ibody=13
d(Face)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Edge)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
d(Node)/d(ZSIZE) check complete with 0 total errors (errmax= 9.3769e-11)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "DX" for ibody=4
d(Face)/d(DX) check complete with 0 total errors (errmax= 2.5655e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 2.5655e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.5888e-09)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "DX" for ibody=8
d(Face)/d(DX) check complete with 0 total errors (errmax= 3.1836e-11)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 5.5511e-11)
d(Node)/d(DX) check complete with 0 total errors (errmax= 8.8818e-10)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "DX" for ibody=13
d(Face)/d(DX) check complete with 0 total errors (errmax= 2.5655e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 2.5655e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.2978e-09)
*********************************************************
Starting configuration sensitivity wrt "RAD"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "RAD" for ibody=4
d(Face)/d(RAD) check complete with 0 total errors (errmax= 3.7416e-11)
d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11)
d(Node)/d(RAD) check complete with 0 total errors (errmax= 6.7515e-12)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "RAD" for ibody=8
d(Face)/d(RAD) check complete with 0 total errors (errmax= 4.2727e-11)
d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11)
d(Node)/d(RAD) check complete with 0 total errors (errmax= 6.7513e-12)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "RAD" for ibody=13
d(Face)/d(RAD) check complete with 0 total errors (errmax= 4.1254e-11)
d(Edge)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11)
d(Node)/d(RAD) check complete with 0 total errors (errmax= 3.4507e-11)
*********************************************************
Starting configuration sensitivity wrt "SCALE"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "SCALE" for ibody=4
d(Face)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
d(Edge)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
d(Node)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "SCALE" for ibody=8
d(Face)/d(SCALE) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(SCALE) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(SCALE) check complete with 0 total errors (errmax= 8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=13
Computing finite difference sensitivities for ibody=13
Comparing configuration sensitivities wrt "SCALE" for ibody=13
d(Face)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
d(Edge)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
d(Node)/d(SCALE) check complete with 0 total errors (errmax= 8.4305e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.081 sec
Sensitivity checks complete with 0 total errors (max config err= 1.8701e-09) with 0 suppressions
real 0m4.240s
user 0m3.488s
sys 0m2.440s
++++ set +x
data/basic/designI4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 129 / 180 )
data/basic/designJ1a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ1a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DX" for ibody=3
d(Face)/d(DX) check complete with 0 total errors (errmax= 5.1398e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 5.1398e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DY" for ibody=3
d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DZ" for ibody=3
d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.004 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.103s
user 0m0.100s
sys 0m0.012s
++++ set +x
data/basic/designJ1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 130 / 180 )
data/basic/designJ1b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DX" for ibody=3
d(Face)/d(DX) check complete with 0 total errors (errmax= 1.1721e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.1721e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.1721e-10)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DY" for ibody=3
d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DZ" for ibody=3
d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.007 sec
Sensitivity checks complete with 0 total errors (max config err= 1.1721e-10) with 0 suppressions
real 0m0.153s
user 0m0.156s
sys 0m0.008s
++++ set +x
data/basic/designJ1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 131 / 180 )
data/basic/designJ1c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ1c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DX" for ibody=3
d(Face)/d(DX) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 3, iedge= 2
d(Edge)/d(DX) check complete with 0 total errors (errmax= 5.1398e-10)
Tests suppressed for ibody= 3, inode= 3
Tests suppressed for ibody= 3, inode= 4
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DY" for ibody=3
d(Face)/d(DY) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 3, iedge= 2
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Tests suppressed for ibody= 3, inode= 3
Tests suppressed for ibody= 3, inode= 4
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DZ" for ibody=3
d(Face)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
Tests suppressed for ibody= 3, iedge= 2
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
Tests suppressed for ibody= 3, inode= 3
Tests suppressed for ibody= 3, inode= 4
d(Node)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.002 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 9 suppressions
real 0m0.089s
user 0m0.080s
sys 0m0.008s
++++ set +x
data/basic/designJ1c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 132 / 180 )
data/basic/designJ1d.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ1d.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DX" for ibody=3
d(Face)/d(DX) check complete with 0 total errors (errmax= 2.7778e-10)
Tests suppressed for ibody= 3, iedge= 2
d(Edge)/d(DX) check complete with 0 total errors (errmax= 3.7420e-10)
Tests suppressed for ibody= 3, inode= 3
Tests suppressed for ibody= 3, inode= 4
d(Node)/d(DX) check complete with 0 total errors (errmax= 3.7420e-10)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DY" for ibody=3
d(Face)/d(DY) check complete with 0 total errors (errmax= 9.9920e-11)
Tests suppressed for ibody= 3, iedge= 2
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Tests suppressed for ibody= 3, inode= 3
Tests suppressed for ibody= 3, inode= 4
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DZ" for ibody=3
d(Face)/d(DZ) check complete with 0 total errors (errmax= 1.8768e-10)
Tests suppressed for ibody= 3, iedge= 2
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 1.5217e-10)
Tests suppressed for ibody= 3, inode= 3
Tests suppressed for ibody= 3, inode= 4
d(Node)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.001 sec
Sensitivity checks complete with 0 total errors (max config err= 3.7420e-10) with 9 suppressions
real 0m0.045s
user 0m0.036s
sys 0m0.008s
++++ set +x
data/basic/designJ1d -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 133 / 180 )
data/basic/designJ2a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ2a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "DX" for ibody=4
d(Face)/d(DX) check complete with 0 total errors (errmax= 4.4409e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "DY" for ibody=4
d(Face)/d(DY) check complete with 0 total errors (errmax= 5.1398e-10)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.9193e-10)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "DZ" for ibody=4
d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.4409e-10)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 1.5216e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.127 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.397s
user 0m0.456s
sys 0m0.012s
++++ set +x
data/basic/designJ2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 134 / 180 )
data/basic/designJ2b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ2b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "DX" for ibody=5
d(Face)/d(DX) check complete with 0 total errors (errmax= 4.4409e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 2.9193e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "DY" for ibody=5
d(Face)/d(DY) check complete with 0 total errors (errmax= 5.1398e-10)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.9193e-10)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "DZ" for ibody=5
d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.4409e-10)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 1.5216e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.169 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.464s
user 0m0.528s
sys 0m0.000s
++++ set +x
data/basic/designJ2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 135 / 180 )
data/basic/designJ3a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ3a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "DX" for ibody=4
d(Face)/d(DX) check complete with 0 total errors (errmax= 4.4409e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "DY" for ibody=4
d(Face)/d(DY) check complete with 0 total errors (errmax= 5.1398e-10)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.9193e-10)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=4
Computing finite difference sensitivities for ibody=4
Comparing configuration sensitivities wrt "DZ" for ibody=4
d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.4409e-10)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 1.5216e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.124 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.410s
user 0m0.504s
sys 0m0.000s
++++ set +x
data/basic/designJ3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 136 / 180 )
data/basic/designJ3b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ3b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "DX" for ibody=5
d(Face)/d(DX) check complete with 0 total errors (errmax= 4.4409e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 2.9193e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "DY" for ibody=5
d(Face)/d(DY) check complete with 0 total errors (errmax= 5.1398e-10)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.9193e-10)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "DZ" for ibody=5
d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.4409e-10)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 1.5216e-10)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.169 sec
Sensitivity checks complete with 0 total errors (max config err= 5.1398e-10) with 0 suppressions
real 0m0.479s
user 0m0.552s
sys 0m0.004s
++++ set +x
data/basic/designJ3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 137 / 180 )
data/basic/designJ4a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ4a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "XBEG"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "XBEG" for ibody=6
d(Face)/d(XBEG) check complete with 0 total errors (errmax= 2.2204e-10)
d(Edge)/d(XBEG) check complete with 0 total errors (errmax= 5.5410e-11)
d(Node)/d(XBEG) check complete with 0 total errors (errmax= 2.8756e-11)
*********************************************************
Starting configuration sensitivity wrt "YBEG"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "YBEG" for ibody=6
d(Face)/d(YBEG) check complete with 0 total errors (errmax= 2.2204e-10)
d(Edge)/d(YBEG) check complete with 0 total errors (errmax= 6.8252e-11)
d(Node)/d(YBEG) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "ZBEG"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "ZBEG" for ibody=6
d(Face)/d(ZBEG) check complete with 0 total errors (errmax= 2.2204e-10)
d(Edge)/d(ZBEG) check complete with 0 total errors (errmax= 4.6593e-11)
d(Node)/d(ZBEG) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "XEND"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "XEND" for ibody=6
d(Face)/d(XEND) check complete with 0 total errors (errmax= 4.7158e-10)
d(Edge)/d(XEND) check complete with 0 total errors (errmax= 3.5066e-10)
d(Node)/d(XEND) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "YEND"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "YEND" for ibody=6
d(Face)/d(YEND) check complete with 0 total errors (errmax= 2.2204e-10)
d(Edge)/d(YEND) check complete with 0 total errors (errmax= 1.0394e-10)
d(Node)/d(YEND) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "ZEND"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "ZEND" for ibody=6
d(Face)/d(ZEND) check complete with 0 total errors (errmax= 2.2204e-10)
d(Edge)/d(ZEND) check complete with 0 total errors (errmax= 7.2640e-11)
d(Node)/d(ZEND) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DX" for ibody=6
d(Face)/d(DX) check complete with 0 total errors (errmax= 4.1305e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DY" for ibody=6
d(Face)/d(DY) check complete with 0 total errors (errmax= 5.1398e-10)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 2.9193e-10)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DZ" for ibody=6
d(Face)/d(DZ) check complete with 0 total errors (errmax= 2.5789e-10)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.383 sec
Sensitivity checks complete with 0 total errors (max config err= 5.8387e-10) with 0 suppressions
real 0m0.955s
user 0m0.992s
sys 0m0.016s
++++ set +x
data/basic/designJ4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 138 / 180 )
data/basic/designJ4b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ4b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "XBEG"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "XBEG" for ibody=6
d(Face)/d(XBEG) check complete with 0 total errors (errmax= 1.4306e-07)
d(Edge)/d(XBEG) check complete with 0 total errors (errmax= 1.4374e-07)
d(Node)/d(XBEG) check complete with 0 total errors (errmax= 2.8756e-11)
*********************************************************
Starting configuration sensitivity wrt "YBEG"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "YBEG" for ibody=6
d(Face)/d(YBEG) check complete with 0 total errors (errmax= 4.2639e-08)
d(Edge)/d(YBEG) check complete with 0 total errors (errmax= 4.1902e-08)
d(Node)/d(YBEG) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "ZBEG"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "ZBEG" for ibody=6
d(Face)/d(ZBEG) check complete with 0 total errors (errmax= 6.3332e-08)
d(Edge)/d(ZBEG) check complete with 0 total errors (errmax= 6.2791e-08)
d(Node)/d(ZBEG) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "XEND"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "XEND" for ibody=6
d(Face)/d(XEND) check complete with 0 total errors (errmax= 1.4392e-07)
d(Edge)/d(XEND) check complete with 0 total errors (errmax= 1.4434e-07)
d(Node)/d(XEND) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "YEND"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "YEND" for ibody=6
d(Face)/d(YEND) check complete with 0 total errors (errmax= 4.2366e-08)
d(Edge)/d(YEND) check complete with 0 total errors (errmax= 4.1416e-08)
d(Node)/d(YEND) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "ZEND"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "ZEND" for ibody=6
d(Face)/d(ZEND) check complete with 0 total errors (errmax= 6.3546e-08)
d(Edge)/d(ZEND) check complete with 0 total errors (errmax= 6.2923e-08)
d(Node)/d(ZEND) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DX" for ibody=6
d(Face)/d(DX) check complete with 0 total errors (errmax= 1.9259e-07)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.9578e-07)
d(Node)/d(DX) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DY" for ibody=6
d(Face)/d(DY) check complete with 0 total errors (errmax= 4.0200e-08)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 3.9874e-08)
d(Node)/d(DY) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DZ" for ibody=6
d(Face)/d(DZ) check complete with 0 total errors (errmax= 3.5725e-08)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 3.5604e-08)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.284 sec
Sensitivity checks complete with 0 total errors (max config err= 1.9578e-07) with 0 suppressions
real 0m1.533s
user 0m2.008s
sys 0m0.008s
++++ set +x
data/basic/designJ4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 139 / 180 )
data/basic/designJ5.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designJ5.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "DX"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DX" for ibody=3
d(Face)/d(DX) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 3, iedge= 2
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 3, inode= 3
Tests suppressed for ibody= 3, inode= 4
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DX" for ibody=6
d(Face)/d(DX) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 6, iedge= 2
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 6, inode= 3
Tests suppressed for ibody= 6, inode= 4
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "DX" for ibody=9
d(Face)/d(DX) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 9, iedge= 2
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 9, inode= 3
Tests suppressed for ibody= 9, inode= 4
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "DX" for ibody=12
d(Face)/d(DX) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 12, iedge= 2
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 12, inode= 3
Tests suppressed for ibody= 12, inode= 4
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "DX" for ibody=15
d(Face)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 15, iedge= 2
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 15, inode= 3
Tests suppressed for ibody= 15, inode= 4
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "DX" for ibody=18
d(Face)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "DX" for ibody=20
d(Face)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DX) check complete with 0 total errors (errmax= 6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=23
Computing finite difference sensitivities for ibody=23
Comparing configuration sensitivities wrt "DX" for ibody=23
d(Face)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "DX" for ibody=26
d(Face)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=28
Computing finite difference sensitivities for ibody=28
Comparing configuration sensitivities wrt "DX" for ibody=28
d(Face)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(DX) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "DY"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DY" for ibody=3
d(Face)/d(DY) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 3, iedge= 2
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Tests suppressed for ibody= 3, inode= 3
Tests suppressed for ibody= 3, inode= 4
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DY" for ibody=6
d(Face)/d(DY) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 6, iedge= 2
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Tests suppressed for ibody= 6, inode= 3
Tests suppressed for ibody= 6, inode= 4
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "DY" for ibody=9
d(Face)/d(DY) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 9, iedge= 2
d(Edge)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 9, inode= 3
Tests suppressed for ibody= 9, inode= 4
d(Node)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "DY" for ibody=12
d(Face)/d(DY) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 12, iedge= 2
d(Edge)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
Tests suppressed for ibody= 12, inode= 3
Tests suppressed for ibody= 12, inode= 4
d(Node)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "DY" for ibody=15
d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Tests suppressed for ibody= 15, iedge= 2
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Tests suppressed for ibody= 15, inode= 3
Tests suppressed for ibody= 15, inode= 4
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "DY" for ibody=18
d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "DY" for ibody=20
d(Face)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
d(Node)/d(DY) check complete with 0 total errors (errmax= 6.9889e-11)
Computing analytic sensitivities (if possible) for ibody=23
Computing finite difference sensitivities for ibody=23
Comparing configuration sensitivities wrt "DY" for ibody=23
d(Face)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "DY" for ibody=26
d(Face)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
Computing analytic sensitivities (if possible) for ibody=28
Computing finite difference sensitivities for ibody=28
Comparing configuration sensitivities wrt "DY" for ibody=28
d(Face)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
d(Edge)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
d(Node)/d(DY) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=3
Computing finite difference sensitivities for ibody=3
Comparing configuration sensitivities wrt "DZ" for ibody=3
d(Face)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 3, iedge= 2
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 3, inode= 3
Tests suppressed for ibody= 3, inode= 4
d(Node)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "DZ" for ibody=6
d(Face)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 6, iedge= 2
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 6, inode= 3
Tests suppressed for ibody= 6, inode= 4
d(Node)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "DZ" for ibody=9
d(Face)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 9, iedge= 2
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 9, inode= 3
Tests suppressed for ibody= 9, inode= 4
d(Node)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=12
Computing finite difference sensitivities for ibody=12
Comparing configuration sensitivities wrt "DZ" for ibody=12
d(Face)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 12, iedge= 2
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Tests suppressed for ibody= 12, inode= 3
Tests suppressed for ibody= 12, inode= 4
d(Node)/d(DZ) check complete with 0 total errors (errmax= 0.0000e+00)
Computing analytic sensitivities (if possible) for ibody=15
Computing finite difference sensitivities for ibody=15
Comparing configuration sensitivities wrt "DZ" for ibody=15
d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
Tests suppressed for ibody= 15, iedge= 2
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
Tests suppressed for ibody= 15, inode= 3
Tests suppressed for ibody= 15, inode= 4
d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "DZ" for ibody=18
d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
Computing analytic sensitivities (if possible) for ibody=20
Computing finite difference sensitivities for ibody=20
Comparing configuration sensitivities wrt "DZ" for ibody=20
d(Face)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 4.1133e-11)
Computing analytic sensitivities (if possible) for ibody=23
Computing finite difference sensitivities for ibody=23
Comparing configuration sensitivities wrt "DZ" for ibody=23
d(Face)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=26
Computing finite difference sensitivities for ibody=26
Comparing configuration sensitivities wrt "DZ" for ibody=26
d(Face)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
Computing analytic sensitivities (if possible) for ibody=28
Computing finite difference sensitivities for ibody=28
Comparing configuration sensitivities wrt "DZ" for ibody=28
d(Face)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
d(Edge)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
d(Node)/d(DZ) check complete with 0 total errors (errmax= 8.2267e-11)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.021 sec
Sensitivity checks complete with 0 total errors (max config err= 1.3978e-10) with 45 suppressions
real 0m1.815s
user 0m1.892s
sys 0m0.008s
++++ set +x
data/basic/designJ5 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 140 / 180 )
data/basic/designK0.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designK0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "L0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "L0" for ibody=11
d(Face)/d(L0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(L0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(L0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "H0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H0" for ibody=11
d(Face)/d(H0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "D0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "D0" for ibody=11
d(Face)/d(D0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X0" for ibody=11
d(Face)/d(X0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y0" for ibody=11
d(Face)/d(Y0) check complete with 0 total errors (errmax= 4.3933e-07)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
*********************************************************
Starting configuration sensitivity wrt "R0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R0" for ibody=11
d(Face)/d(R0) check complete with 0 total errors (errmax= 1.8019e-08)
d(Edge)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
d(Node)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X1" for ibody=11
d(Face)/d(X1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X1) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "Y1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y1" for ibody=11
d(Face)/d(Y1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(Y1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y1) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W1" for ibody=11
d(Face)/d(W1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(W1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W1) check complete with 0 total errors (errmax= 1.3378e-11)
*********************************************************
Starting configuration sensitivity wrt "H1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H1" for ibody=11
d(Face)/d(H1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H1) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X2" for ibody=11
d(Face)/d(X2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X2) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "Y2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y2" for ibody=11
d(Face)/d(Y2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(Y2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y2) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W2" for ibody=11
d(Face)/d(W2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(W2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W2) check complete with 0 total errors (errmax= 4.1134e-11)
*********************************************************
Starting configuration sensitivity wrt "H2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H2" for ibody=11
d(Face)/d(H2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H2) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "R3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R3" for ibody=11
d(Face)/d(R3) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(R3) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(R3) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "X4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X4" for ibody=11
d(Face)/d(X4) check complete with 0 total errors (errmax= 4.9836e-10)
d(Edge)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
d(Node)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y4" for ibody=11
d(Face)/d(Y4) check complete with 0 total errors (errmax= 4.0814e-10)
d(Edge)/d(Y4) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y4) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "R4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R4" for ibody=11
d(Face)/d(R4) check complete with 0 total errors (errmax= 3.5922e-10)
d(Edge)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.360 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m6.349s
user 0m5.312s
sys 0m3.580s
++++ set +x
data/basic/designK0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 141 / 180 )
data/basic/designK1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designK1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "L0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "L0" for ibody=11
d(Face)/d(L0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(L0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(L0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "H0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H0" for ibody=11
d(Face)/d(H0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "D0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "D0" for ibody=11
d(Face)/d(D0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X0" for ibody=11
d(Face)/d(X0) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y0" for ibody=11
d(Face)/d(Y0) check complete with 0 total errors (errmax= 4.6833e-07)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
*********************************************************
Starting configuration sensitivity wrt "R0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R0" for ibody=11
d(Face)/d(R0) check complete with 0 total errors (errmax= 1.8887e-08)
d(Edge)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
d(Node)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X1" for ibody=11
d(Face)/d(X1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X1) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "Y1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y1" for ibody=11
d(Face)/d(Y1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(Y1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y1) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W1" for ibody=11
d(Face)/d(W1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(W1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W1) check complete with 0 total errors (errmax= 1.3378e-11)
*********************************************************
Starting configuration sensitivity wrt "H1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H1" for ibody=11
d(Face)/d(H1) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H1) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X2" for ibody=11
d(Face)/d(X2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(X2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X2) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "Y2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y2" for ibody=11
d(Face)/d(Y2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(Y2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y2) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W2" for ibody=11
d(Face)/d(W2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(W2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W2) check complete with 0 total errors (errmax= 4.1134e-11)
*********************************************************
Starting configuration sensitivity wrt "H2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H2" for ibody=11
d(Face)/d(H2) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(H2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H2) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "R3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R3" for ibody=11
d(Face)/d(R3) check complete with 0 total errors (errmax= 3.7905e-10)
d(Edge)/d(R3) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(R3) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "X4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X4" for ibody=11
d(Face)/d(X4) check complete with 0 total errors (errmax= 4.9836e-10)
d(Edge)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
d(Node)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y4" for ibody=11
d(Face)/d(Y4) check complete with 0 total errors (errmax= 4.0814e-10)
d(Edge)/d(Y4) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y4) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "R4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R4" for ibody=11
d(Face)/d(R4) check complete with 0 total errors (errmax= 3.5922e-10)
d(Edge)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.431 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m7.895s
user 0m6.816s
sys 0m3.788s
++++ set +x
data/basic/designK1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 142 / 180 )
data/basic/designK2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designK2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "L0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "L0" for ibody=11
d(Face)/d(L0) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(L0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(L0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "H0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H0" for ibody=11
d(Face)/d(H0) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(H0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H0) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "D0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "D0" for ibody=11
d(Face)/d(D0) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(D0) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X0" for ibody=11
d(Face)/d(X0) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y0" for ibody=11
d(Face)/d(Y0) check complete with 0 total errors (errmax= 5.0128e-07)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 5.3166e-07)
*********************************************************
Starting configuration sensitivity wrt "R0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R0" for ibody=11
d(Face)/d(R0) check complete with 0 total errors (errmax= 1.9960e-08)
d(Edge)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
d(Node)/d(R0) check complete with 0 total errors (errmax= 2.1321e-08)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X1" for ibody=11
d(Face)/d(X1) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(X1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X1) check complete with 0 total errors (errmax= 2.6755e-11)
*********************************************************
Starting configuration sensitivity wrt "Y1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y1" for ibody=11
d(Face)/d(Y1) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(Y1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y1) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W1" for ibody=11
d(Face)/d(W1) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(W1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W1) check complete with 0 total errors (errmax= 1.3378e-11)
*********************************************************
Starting configuration sensitivity wrt "H1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H1" for ibody=11
d(Face)/d(H1) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(H1) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H1) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X2" for ibody=11
d(Face)/d(X2) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(X2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(X2) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "Y2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y2" for ibody=11
d(Face)/d(Y2) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(Y2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y2) check complete with 0 total errors (errmax= 1.3978e-10)
*********************************************************
Starting configuration sensitivity wrt "W2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "W2" for ibody=11
d(Face)/d(W2) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(W2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(W2) check complete with 0 total errors (errmax= 4.1134e-11)
*********************************************************
Starting configuration sensitivity wrt "H2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "H2" for ibody=11
d(Face)/d(H2) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(H2) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(H2) check complete with 0 total errors (errmax= 6.9889e-11)
*********************************************************
Starting configuration sensitivity wrt "R3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R3" for ibody=11
d(Face)/d(R3) check complete with 0 total errors (errmax= 3.8040e-10)
d(Edge)/d(R3) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(R3) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "X4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "X4" for ibody=11
d(Face)/d(X4) check complete with 0 total errors (errmax= 3.5120e-10)
d(Edge)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
d(Node)/d(X4) check complete with 0 total errors (errmax= 3.0431e-10)
*********************************************************
Starting configuration sensitivity wrt "Y4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "Y4" for ibody=11
d(Face)/d(Y4) check complete with 0 total errors (errmax= 3.5156e-10)
d(Edge)/d(Y4) check complete with 0 total errors (errmax= 4.4409e-10)
d(Node)/d(Y4) check complete with 0 total errors (errmax= 8.2267e-11)
*********************************************************
Starting configuration sensitivity wrt "R4"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=11
Computing finite difference sensitivities for ibody=11
Comparing configuration sensitivities wrt "R4" for ibody=11
d(Face)/d(R4) check complete with 0 total errors (errmax= 4.1356e-10)
d(Edge)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
d(Node)/d(R4) check complete with 0 total errors (errmax= 5.8387e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.709 sec
Sensitivity checks complete with 0 total errors (max config err= 5.3166e-07) with 0 suppressions
real 0m35.149s
user 0m34.012s
sys 0m3.912s
++++ set +x
data/basic/designK2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 143 / 180 )
data/basic/designL00.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL00.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "xbeg" for ibody=5
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.9269e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "ybeg" for ibody=5
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.4790e-09)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "zbeg" for ibody=5
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.2510e-09)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "xsize" for ibody=5
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.6027e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "ysize" for ibody=5
d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "zsize" for ibody=5
d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "diam" for ibody=5
d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "scale" for ibody=5
d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.027 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.810s
user 0m0.932s
sys 0m0.276s
++++ set +x
data/basic/designL00 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 144 / 180 )
data/basic/designL01.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL01.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "xbeg" for ibody=7
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.9269e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "ybeg" for ibody=7
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.4790e-09)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "zbeg" for ibody=7
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.2510e-09)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "xsize" for ibody=7
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.6027e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "ysize" for ibody=7
d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "zsize" for ibody=7
d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "diam" for ibody=7
d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "scale" for ibody=7
d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.029 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.886s
user 0m0.876s
sys 0m0.380s
++++ set +x
data/basic/designL01 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 145 / 180 )
data/basic/designL10.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL10.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "xbeg" for ibody=7
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.9269e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "ybeg" for ibody=7
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.4790e-09)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "zbeg" for ibody=7
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.2510e-09)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "xsize" for ibody=7
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.6027e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "ysize" for ibody=7
d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "zsize" for ibody=7
d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "diam" for ibody=7
d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "scale" for ibody=7
d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.031 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m0.846s
user 0m0.940s
sys 0m0.324s
++++ set +x
data/basic/designL10 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 146 / 180 )
data/basic/designL11.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL11.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xbeg" for ibody=10
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ybeg" for ibody=10
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 2.7140e-09)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zbeg" for ibody=10
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xsize" for ibody=10
d(Face)/d(xsize) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ysize" for ibody=10
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zsize" for ibody=10
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "diam" for ibody=10
d(Face)/d(diam) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "scale" for ibody=10
d(Face)/d(scale) check complete with 0 total errors (errmax= 1.2804e-08)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 5.6989e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.342 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions
real 0m1.587s
user 0m1.708s
sys 0m0.352s
++++ set +x
data/basic/designL11 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 147 / 180 )
data/basic/designL12.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL12.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xbeg" for ibody=10
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ybeg" for ibody=10
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 2.7140e-09)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zbeg" for ibody=10
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "xsize" for ibody=10
d(Face)/d(xsize) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "ysize" for ibody=10
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "zsize" for ibody=10
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "diam" for ibody=10
d(Face)/d(diam) check complete with 0 total errors (errmax= 9.7205e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=10
Computing finite difference sensitivities for ibody=10
Comparing configuration sensitivities wrt "scale" for ibody=10
d(Face)/d(scale) check complete with 0 total errors (errmax= 1.2804e-08)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 5.6989e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.316 sec
Sensitivity checks complete with 0 total errors (max config err= 1.2804e-08) with 0 suppressions
real 0m1.586s
user 0m1.612s
sys 0m0.480s
++++ set +x
data/basic/designL12 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 148 / 180 )
data/basic/designL20.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL20.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=12
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.735 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m0.912s
user 0m1.024s
sys 0m0.336s
++++ set +x
data/basic/designL20 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 149 / 180 )
data/basic/designL21.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL21.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.087 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m1.307s
user 0m1.344s
sys 0m0.424s
++++ set +x
data/basic/designL21 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 150 / 180 )
data/basic/designL22.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL22.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=15
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.192 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m1.436s
user 0m1.600s
sys 0m0.404s
++++ set +x
data/basic/designL22 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 151 / 180 )
data/basic/designL30.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL30.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "xbeg" for ibody=8
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.9269e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "ybeg" for ibody=8
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.4790e-09)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "zbeg" for ibody=8
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.2510e-09)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "xsize" for ibody=8
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.6027e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "ysize" for ibody=8
d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "zsize" for ibody=8
d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "diam" for ibody=8
d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "scale" for ibody=8
d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.050 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m1.057s
user 0m1.168s
sys 0m0.392s
++++ set +x
data/basic/designL30 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 152 / 180 )
data/basic/designL31.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL31.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xbeg" for ibody=14
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016423 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0807e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ybeg" for ibody=14
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.1837e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zbeg" for ibody=14
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 4.8602e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xsize" for ibody=14
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304688, err= 0.00037764 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304687, err= 0.00037763 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8372e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ysize" for ibody=14
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536328, err= 0.00025516 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536329, err= 0.00025515 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5516e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zsize" for ibody=14
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 6.0076e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "diam" for ibody=14
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074667 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133658 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018144 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074667 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665584, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "scale" for ibody=14
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.522 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m3.782s
user 0m4.392s
sys 0m0.816s
++++ set +x
data/basic/designL31 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 153 / 180 )
data/basic/designL32.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL32.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xbeg" for ibody=14
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016423 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0807e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ybeg" for ibody=14
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.1837e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zbeg" for ibody=14
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 4.8602e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xsize" for ibody=14
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304688, err= 0.00037764 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304687, err= 0.00037763 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8372e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ysize" for ibody=14
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536328, err= 0.00025516 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536329, err= 0.00025515 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5516e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zsize" for ibody=14
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 6.0076e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "diam" for ibody=14
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074667 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133658 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018144 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074667 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665584, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "scale" for ibody=14
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.582 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m4.230s
user 0m4.872s
sys 0m1.056s
++++ set +x
data/basic/designL32 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 154 / 180 )
data/basic/designL33.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL33.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xbeg" for ibody=14
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016423 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0807e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ybeg" for ibody=14
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.1837e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zbeg" for ibody=14
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 4.8602e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xsize" for ibody=14
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304688, err= 0.00037764 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304687, err= 0.00037763 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8372e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ysize" for ibody=14
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536328, err= 0.00025516 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536329, err= 0.00025515 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5516e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zsize" for ibody=14
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 6.0076e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "diam" for ibody=14
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074667 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133658 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018144 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074667 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665584, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "scale" for ibody=14
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.481 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m3.878s
user 0m4.484s
sys 0m0.820s
++++ set +x
data/basic/designL33 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 155 / 180 )
data/basic/designL34.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL34.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xbeg" for ibody=14
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016423 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618340, err= -0.00010832 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985017, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093850, err= -0.00039612 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452253, err= -0.00014097 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521845, err= 0.00070807 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0807e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ybeg" for ibody=14
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 1.1837e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zbeg" for ibody=14
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 4.8602e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "xsize" for ibody=14
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304688, err= 0.00037764 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269531, err= 0.00011187 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002879, fd= 0.88018535, err= -0.00015656 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304687, err= 0.00037763 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862699, err= 0.00013612 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833705, err= -0.00068372 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8372e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "ysize" for ibody=14
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536328, err= 0.00025516 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012807, err= -0.00014246 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536329, err= 0.00025515 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5516e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "zsize" for ibody=14
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 6.0076e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "diam" for ibody=14
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074667 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133658 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018144 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373382, err= 0.00013675 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665552, err= -0.00020448 (at 21.83386972 -4.24686048 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415596, err= 0.00030956 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489015, err= -0.00074667 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315859, err= -0.00026610 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246335, err= 0.00133657 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390455, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665584, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3366e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "scale" for ibody=14
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 6.9089e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.482 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3366e-03) with 0 suppressions
real 0m3.689s
user 0m4.312s
sys 0m0.740s
++++ set +x
data/basic/designL34 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 156 / 180 )
data/basic/designL40.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL40.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "xbeg" for ibody=9
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.9269e-09)
d(Edge)/d(xbeg) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "ybeg" for ibody=9
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 2.4790e-09)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "zbeg" for ibody=9
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 2.2510e-09)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "xsize" for ibody=9
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.6027e-09)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "ysize" for ibody=9
d(Face)/d(ysize) check complete with 0 total errors (errmax= 2.0573e-09)
d(Edge)/d(ysize) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "zsize" for ibody=9
d(Face)/d(zsize) check complete with 0 total errors (errmax= 2.8754e-09)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "diam" for ibody=9
d(Face)/d(diam) check complete with 0 total errors (errmax= 2.6506e-09)
d(Edge)/d(diam) check complete with 0 total errors (errmax= 3.7871e-09)
d(Node)/d(diam) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=9
Computing finite difference sensitivities for ibody=9
Comparing configuration sensitivities wrt "scale" for ibody=9
d(Face)/d(scale) check complete with 0 total errors (errmax= 3.0375e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 4.9054e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.042 sec
Sensitivity checks complete with 0 total errors (max config err= 4.9054e-09) with 0 suppressions
real 0m1.221s
user 0m1.204s
sys 0m0.640s
++++ set +x
data/basic/designL40 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 157 / 180 )
data/basic/designL41.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL41.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xbeg" for ibody=18
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618342, err= -0.00010829 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985018, err= 0.00016421 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093853, err= -0.00039609 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452252, err= -0.00014096 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521840, err= 0.00070802 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618342, err= -0.00010829 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985018, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093853, err= -0.00039609 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452252, err= -0.00014096 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521840, err= 0.00070802 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0802e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ybeg" for ibody=18
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 2.0835e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zbeg" for ibody=18
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 1.1335e-08)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 5.7979e-09)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xsize" for ibody=18
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269530, err= 0.00011186 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002878, fd= 0.88018534, err= -0.00015655 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304685, err= 0.00037761 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862700, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833709, err= -0.00068367 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269530, err= 0.00011186 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002878, fd= 0.88018534, err= -0.00015655 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304685, err= 0.00037761 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862700, err= 0.00013611 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833709, err= -0.00068367 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8367e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ysize" for ibody=18
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012806, err= -0.00014245 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536331, err= 0.00025514 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012806, err= -0.00014245 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536331, err= 0.00025513 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5514e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zsize" for ibody=18
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 1.1335e-08)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "diam" for ibody=18
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373385, err= 0.00013673 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665556, err= -0.00020444 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415598, err= 0.00030954 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489019, err= -0.00074662 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315857, err= -0.00026608 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246326, err= 0.00133648 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390454, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018143 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373385, err= 0.00013673 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665556, err= -0.00020444 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415598, err= 0.00030954 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489019, err= -0.00074662 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315857, err= -0.00026608 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246325, err= 0.00133648 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390454, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682300, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3365e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 3.3183e-09)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "scale" for ibody=18
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 5.8482e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.593 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions
real 0m5.026s
user 0m5.760s
sys 0m0.812s
++++ set +x
data/basic/designL41 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 158 / 180 )
data/basic/designL42.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designL42.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xbeg" for ibody=18
d(Face)/d(xbeg) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618342, err= -0.00010829 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985018, err= 0.00016421 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093853, err= -0.00039609 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452252, err= -0.00014096 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521840, err= 0.00070802 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.38629172, fd= -1.38618342, err= -0.00010829 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.44001439, fd= 0.43985018, err= 0.00016422 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.06133462, fd= -1.06093853, err= -0.00039609 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.11438156, fd= 0.11452252, err= -0.00014096 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -0.57451038, fd= -0.57521840, err= 0.00070802 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -0.57461156, fd= -0.57448096, err= -0.00013060 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xbeg) check complete with 12 total errors (errmax= 7.0802e-04)
d(Node)/d(xbeg) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ybeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ybeg" for ibody=18
d(Face)/d(ybeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(ybeg) check complete with 0 total errors (errmax= 2.0835e-08)
d(Node)/d(ybeg) check complete with 0 total errors (errmax= 1.3818e-09)
*********************************************************
Starting configuration sensitivity wrt "zbeg"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zbeg" for ibody=18
d(Face)/d(zbeg) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zbeg) check complete with 0 total errors (errmax= 1.1335e-08)
d(Node)/d(zbeg) check complete with 0 total errors (errmax= 5.7979e-09)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "xsize" for ibody=18
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269530, err= 0.00011186 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.88002878, fd= 0.88018534, err= -0.00015655 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304685, err= 0.00037761 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862700, err= 0.00013612 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833709, err= -0.00068367 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 15, ipnt= 5 (Y): anal= -2.77258344, fd= -2.77269530, err= 0.00011186 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.88002878, fd= 0.88018534, err= -0.00015655 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -2.12266924, fd= -2.12304685, err= 0.00037761 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.22876312, fd= 0.22862700, err= 0.00013611 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.14902077, fd= -1.14833709, err= -0.00068367 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= -1.14922311, fd= -1.14933881, err= 0.00011570 (at 20.70705328 -1.52888414 -3.00000000)
d(Edge)/d(xsize) check complete with 12 total errors (errmax= 6.8367e-04)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "ysize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "ysize" for ibody=18
d(Face)/d(ysize) check complete with 0 total errors (errmax= 1.0658e-08)
iedge= 10, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012806, err= -0.00014245 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536331, err= 0.00025514 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 15, ipnt= 6 (Y): anal= 2.55998561, fd= 2.56012806, err= -0.00014245 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= 2.88561844, fd= 2.88536331, err= 0.00025513 (at 21.29289306 -4.47112654 -3.00000000)
d(Edge)/d(ysize) check complete with 4 total errors (errmax= 2.5514e-04)
d(Node)/d(ysize) check complete with 0 total errors (errmax= 8.6342e-10)
*********************************************************
Starting configuration sensitivity wrt "zsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "zsize" for ibody=18
d(Face)/d(zsize) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(zsize) check complete with 0 total errors (errmax= 1.1335e-08)
d(Node)/d(zsize) check complete with 0 total errors (errmax= 1.7764e-09)
*********************************************************
Starting configuration sensitivity wrt "diam"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "diam" for ibody=18
d(Face)/d(diam) check complete with 0 total errors (errmax= 1.5149e-08)
iedge= 10, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373385, err= 0.00013673 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665556, err= -0.00020444 (at 21.83386972 -4.24686049 -9.00000000)
iedge= 10, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415598, err= 0.00030954 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489019, err= -0.00074662 (at 21.57446579 -4.38563680 -9.00000000)
iedge= 10, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315857, err= -0.00026608 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 10, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246326, err= 0.00133648 (at 21.29289306 -4.47112654 -9.00000000)
iedge= 11, ipnt= 5 (X): anal= -0.83390454, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018143 (at 20.16609633 -1.75316227 -9.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -9.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682299, err= 0.00010775 (at 21.83376501 -1.75306938 -9.00000000)
iedge= 15, ipnt= 5 (X): anal= 0.83387057, fd= 0.83373385, err= 0.00013673 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 5 (Y): anal= -1.24686000, fd= -1.24665556, err= -0.00020444 (at 21.83386972 -4.24686049 -3.00000000)
iedge= 15, ipnt= 6 (X): anal= 0.57446552, fd= 0.57415598, err= 0.00030954 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 6 (Y): anal= -1.38563681, fd= -1.38489019, err= -0.00074662 (at 21.57446579 -4.38563680 -3.00000000)
iedge= 15, ipnt= 7 (X): anal= 0.29289248, fd= 0.29315857, err= -0.00026608 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 15, ipnt= 7 (Y): anal= -1.47112678, fd= -1.47246325, err= 0.00133648 (at 21.29289306 -4.47112654 -3.00000000)
iedge= 16, ipnt= 5 (X): anal= -0.83390454, fd= -0.83378320, err= -0.00012135 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 5 (Y): anal= 1.24683728, fd= 1.24665585, err= 0.00018144 (at 20.16609633 -1.75316227 -3.00000000)
iedge= 16, ipnt= 7 (Y): anal= 1.47111624, fd= 1.47136126, err= -0.00024502 (at 20.70705328 -1.52888414 -3.00000000)
iedge= 16, ipnt= 11 (Y): anal= 1.24693074, fd= 1.24682300, err= 0.00010775 (at 21.83376501 -1.75306938 -3.00000000)
d(Edge)/d(diam) check complete with 20 total errors (errmax= 1.3365e-03)
d(Node)/d(diam) check complete with 0 total errors (errmax= 3.3183e-09)
*********************************************************
Starting configuration sensitivity wrt "scale"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=18
Computing finite difference sensitivities for ibody=18
Comparing configuration sensitivities wrt "scale" for ibody=18
d(Face)/d(scale) check complete with 0 total errors (errmax= 9.2516e-09)
d(Edge)/d(scale) check complete with 0 total errors (errmax= 5.8482e-09)
d(Node)/d(scale) check complete with 0 total errors (errmax= 2.3806e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.657 sec
Sensitivity checks complete with 48 total errors (max config err= 1.3365e-03) with 0 suppressions
real 0m4.824s
user 0m5.644s
sys 0m0.848s
++++ set +x
data/basic/designL42 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 159 / 180 )
data/basic/designM0.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designM0.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "a"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "a" for ibody=5
d(Face)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "b"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "b" for ibody=5
d(Face)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Edge)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Node)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
*********************************************************
Starting configuration sensitivity wrt "c"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "c" for ibody=5
d(Face)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Edge)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
*********************************************************
Starting configuration sensitivity wrt "d"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "d" for ibody=5
d(Face)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "e"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "e" for ibody=5
d(Face)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Edge)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Node)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
*********************************************************
Starting configuration sensitivity wrt "f"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "f" for ibody=5
d(Face)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
d(Edge)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
d(Node)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
*********************************************************
Starting configuration sensitivity wrt "g"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "g" for ibody=5
d(Face)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Edge)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Node)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=5
Computing finite difference sensitivities for ibody=5
Comparing configuration sensitivities wrt "h" for ibody=5
d(Face)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Edge)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Node)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.076 sec
Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions
real 0m0.883s
user 0m0.676s
sys 0m0.384s
++++ set +x
data/basic/designM0 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 160 / 180 )
data/basic/designM1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designM1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "a"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "a" for ibody=6
d(Face)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "b"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "b" for ibody=6
d(Face)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Edge)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Node)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
*********************************************************
Starting configuration sensitivity wrt "c"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "c" for ibody=6
d(Face)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Edge)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
*********************************************************
Starting configuration sensitivity wrt "d"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "d" for ibody=6
d(Face)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "e"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "e" for ibody=6
d(Face)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Edge)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Node)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
*********************************************************
Starting configuration sensitivity wrt "f"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "f" for ibody=6
d(Face)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
d(Edge)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
d(Node)/d(f) check complete with 0 total errors (errmax= 3.9721e-10)
*********************************************************
Starting configuration sensitivity wrt "g"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "g" for ibody=6
d(Face)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Edge)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Node)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=6
Computing finite difference sensitivities for ibody=6
Comparing configuration sensitivities wrt "h" for ibody=6
d(Face)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Edge)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Node)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.007 sec
Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions
real 0m0.654s
user 0m0.480s
sys 0m0.300s
++++ set +x
data/basic/designM1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 161 / 180 )
data/basic/designM2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designM2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "a"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "a" for ibody=7
d(Face)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "b"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "b" for ibody=7
d(Face)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Edge)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
d(Node)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
*********************************************************
Starting configuration sensitivity wrt "c"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "c" for ibody=7
d(Face)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Edge)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
*********************************************************
Starting configuration sensitivity wrt "d"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "d" for ibody=7
d(Face)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Edge)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
d(Node)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "e"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "e" for ibody=7
d(Face)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Edge)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
d(Node)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
*********************************************************
Starting configuration sensitivity wrt "f"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "f" for ibody=7
d(Face)/d(f) check complete with 0 total errors (errmax= 6.5376e-10)
d(Edge)/d(f) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(f) check complete with 0 total errors (errmax= 3.9720e-10)
*********************************************************
Starting configuration sensitivity wrt "g"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "g" for ibody=7
d(Face)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Edge)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
d(Node)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=7
Computing finite difference sensitivities for ibody=7
Comparing configuration sensitivities wrt "h" for ibody=7
d(Face)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Edge)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
d(Node)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.012 sec
Sensitivity checks complete with 0 total errors (max config err= 6.5376e-10) with 0 suppressions
real 0m0.856s
user 0m0.696s
sys 0m0.324s
++++ set +x
data/basic/designM2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 162 / 180 )
data/basic/designM3.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designM3.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "a"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "a" for ibody=8
d(Face)/d(a) check complete with 0 total errors (errmax= 2.4301e-09)
d(Edge)/d(a) check complete with 0 total errors (errmax= 1.5419e-09)
d(Node)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "b"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "b" for ibody=8
d(Face)/d(b) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(b) check complete with 0 total errors (errmax= 6.7851e-10)
d(Node)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
*********************************************************
Starting configuration sensitivity wrt "c"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "c" for ibody=8
d(Face)/d(c) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(c) check complete with 0 total errors (errmax= 1.5419e-09)
d(Node)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
*********************************************************
Starting configuration sensitivity wrt "d"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "d" for ibody=8
d(Face)/d(d) check complete with 0 total errors (errmax= 2.4536e-09)
d(Edge)/d(d) check complete with 0 total errors (errmax= 1.5654e-09)
d(Node)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "e"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "e" for ibody=8
d(Face)/d(e) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(e) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
*********************************************************
Starting configuration sensitivity wrt "f"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "f" for ibody=8
d(Face)/d(f) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(f) check complete with 0 total errors (errmax= 1.2854e-09)
d(Node)/d(f) check complete with 0 total errors (errmax= 3.9720e-10)
*********************************************************
Starting configuration sensitivity wrt "g"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "g" for ibody=8
d(Face)/d(g) check complete with 0 total errors (errmax= 3.1334e-09)
d(Edge)/d(g) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "h" for ibody=8
d(Face)/d(h) check complete with 0 total errors (errmax= 3.2271e-09)
d(Edge)/d(h) check complete with 0 total errors (errmax= 1.4508e-09)
d(Node)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.422 sec
Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions
real 0m1.979s
user 0m1.968s
sys 0m0.372s
++++ set +x
data/basic/designM3 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 163 / 180 )
data/basic/designM4.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designM4.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "a"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "a" for ibody=8
d(Face)/d(a) check complete with 0 total errors (errmax= 2.4301e-09)
d(Edge)/d(a) check complete with 0 total errors (errmax= 1.5419e-09)
d(Node)/d(a) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "b"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "b" for ibody=8
d(Face)/d(b) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(b) check complete with 0 total errors (errmax= 6.7851e-10)
d(Node)/d(b) check complete with 0 total errors (errmax= 4.5647e-10)
*********************************************************
Starting configuration sensitivity wrt "c"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "c" for ibody=8
d(Face)/d(c) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(c) check complete with 0 total errors (errmax= 1.5419e-09)
d(Node)/d(c) check complete with 0 total errors (errmax= 6.5376e-10)
*********************************************************
Starting configuration sensitivity wrt "d"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "d" for ibody=8
d(Face)/d(d) check complete with 0 total errors (errmax= 2.4536e-09)
d(Edge)/d(d) check complete with 0 total errors (errmax= 1.5654e-09)
d(Node)/d(d) check complete with 0 total errors (errmax= 2.3442e-10)
*********************************************************
Starting configuration sensitivity wrt "e"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "e" for ibody=8
d(Face)/d(e) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(e) check complete with 0 total errors (errmax= 6.5376e-10)
d(Node)/d(e) check complete with 0 total errors (errmax= 2.3311e-10)
*********************************************************
Starting configuration sensitivity wrt "f"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "f" for ibody=8
d(Face)/d(f) check complete with 0 total errors (errmax= 1.7764e-09)
d(Edge)/d(f) check complete with 0 total errors (errmax= 1.2854e-09)
d(Node)/d(f) check complete with 0 total errors (errmax= 3.9720e-10)
*********************************************************
Starting configuration sensitivity wrt "g"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "g" for ibody=8
d(Face)/d(g) check complete with 0 total errors (errmax= 3.1334e-09)
d(Edge)/d(g) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(g) check complete with 0 total errors (errmax= 4.6885e-10)
*********************************************************
Starting configuration sensitivity wrt "h"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=8
Computing finite difference sensitivities for ibody=8
Comparing configuration sensitivities wrt "h" for ibody=8
d(Face)/d(h) check complete with 0 total errors (errmax= 3.2271e-09)
d(Edge)/d(h) check complete with 0 total errors (errmax= 1.4508e-09)
d(Node)/d(h) check complete with 0 total errors (errmax= 5.6261e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.393 sec
Sensitivity checks complete with 0 total errors (max config err= 3.2271e-09) with 0 suppressions
real 0m2.132s
user 0m2.160s
sys 0m0.432s
++++ set +x
data/basic/designM4 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 164 / 180 )
data/basic/designN1.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designN1.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "xsize"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "xsize" for ibody=1
d(Face)/d(xsize) check complete with 0 total errors (errmax= 1.8752e-07)
d(Edge)/d(xsize) check complete with 0 total errors (errmax= 1.8752e-07)
d(Node)/d(xsize) check complete with 0 total errors (errmax= 1.8752e-07)
*********************************************************
Starting configuration sensitivity wrt "frontArea"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "frontArea" for ibody=1
d(Face)/d(frontArea) check complete with 0 total errors (errmax= 1.5298e-08)
d(Edge)/d(frontArea) check complete with 0 total errors (errmax= 1.5298e-08)
d(Node)/d(frontArea) check complete with 0 total errors (errmax= 1.5298e-08)
*********************************************************
Starting configuration sensitivity wrt "volume"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "volume" for ibody=1
d(Face)/d(volume) check complete with 0 total errors (errmax= 2.1040e-10)
d(Edge)/d(volume) check complete with 0 total errors (errmax= 2.1040e-10)
d(Node)/d(volume) check complete with 0 total errors (errmax= 2.1040e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.001 sec
Sensitivity checks complete with 0 total errors (max config err= 1.8752e-07) with 0 suppressions
real 0m0.088s
user 0m0.072s
sys 0m0.016s
++++ set +x
data/basic/designN1 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 165 / 180 )
data/basic/designN2.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designN2.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "area"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "area" for ibody=1
d(Face)/d(area) check complete with 0 total errors (errmax= 4.0964e-07)
d(Edge)/d(area) check complete with 0 total errors (errmax= 4.0964e-07)
d(Node)/d(area) check complete with 0 total errors (errmax= 4.0964e-07)
*********************************************************
Starting configuration sensitivity wrt "vol"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=1
Computing finite difference sensitivities for ibody=1
Comparing configuration sensitivities wrt "vol" for ibody=1
d(Face)/d(vol) check complete with 0 total errors (errmax= 2.1390e-07)
d(Edge)/d(vol) check complete with 0 total errors (errmax= 2.1390e-07)
d(Node)/d(vol) check complete with 0 total errors (errmax= 2.1390e-07)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.006 sec
Sensitivity checks complete with 0 total errors (max config err= 4.0964e-07) with 0 suppressions
real 0m0.333s
user 0m0.452s
sys 0m0.008s
++++ set +x
data/basic/designN2 -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 166 / 180 )
data/basic/designP0a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP0a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 7.8933e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.9511e-11)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 2.7956e-10)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(L) check complete with 0 total errors (errmax= 2.0898e-10)
d(Node)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(H) check complete with 0 total errors (errmax= 2.0898e-10)
d(Node)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 6.5025e-10)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 8.2957e-10)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 1.5628e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 6.5025e-10)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.0576e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 3.9525e-10)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.0906e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 8.3185e-10)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.0598e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 8.9965e-10)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 9.7311e-10)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.001 sec
Sensitivity checks complete with 0 total errors (max config err= 2.1462e-09) with 0 suppressions
real 0m0.120s
user 0m0.108s
sys 0m0.008s
++++ set +x
data/basic/designP0a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 167 / 180 )
data/basic/designP0b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP0b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.9511e-11)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 2.7140e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 4.0632e-10)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 1.4788e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 7.4840e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.2323e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 5.1398e-10)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.0630e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 1.7741e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 2.6575e-10)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 2.4534e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.001 sec
Sensitivity checks complete with 0 total errors (max config err= 2.7140e-09) with 0 suppressions
real 0m0.225s
user 0m0.216s
sys 0m0.004s
++++ set +x
data/basic/designP0b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 168 / 180 )
data/basic/designP0c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP0c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 1.7184e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.9511e-11)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 3.7580e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 1.1513e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(L) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
d(Node)/d(H) check complete with 0 total errors (errmax= 0.0000e+00)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 5.9025e-08)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 5.9318e-08)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 2.3957e-07)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.9088e-07)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.8237e-07)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.1245e-07)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 3.6761e-08)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 3.0695e-08)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.8691e-08)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 3.9006e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 0.0000e+00)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 3.1596e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.095 sec
Sensitivity checks complete with 0 total errors (max config err= 2.3957e-07) with 0 suppressions
real 0m0.228s
user 0m0.224s
sys 0m0.000s
++++ set +x
data/basic/designP0c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 169 / 180 )
data/basic/designP1a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP1a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "X0" for ibody=24
d(Face)/d(X0) check complete with 0 total errors (errmax= 7.5700e-09)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.4904e-09)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Y0" for ibody=24
d(Face)/d(Y0) check complete with 0 total errors (errmax= 3.1347e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 1.8259e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 1.8259e-09)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Z0" for ibody=24
d(Face)/d(Z0) check complete with 0 total errors (errmax= 4.6383e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 6.1677e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 6.1677e-09)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "L" for ibody=24
d(Face)/d(L) check complete with 0 total errors (errmax= 7.5700e-09)
d(Edge)/d(L) check complete with 0 total errors (errmax= 1.0658e-08)
d(Node)/d(L) check complete with 0 total errors (errmax= 1.0658e-08)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "H" for ibody=24
d(Face)/d(H) check complete with 0 total errors (errmax= 1.0658e-08)
d(Edge)/d(H) check complete with 0 total errors (errmax= 7.8373e-09)
d(Node)/d(H) check complete with 0 total errors (errmax= 7.1054e-09)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX1" for ibody=24
d(Face)/d(DX1) check complete with 0 total errors (errmax= 3.5760e-09)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 1.6591e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY1" for ibody=24
d(Face)/d(DY1) check complete with 0 total errors (errmax= 3.1347e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ1" for ibody=24
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 3.0361e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX2" for ibody=24
d(Face)/d(DX2) check complete with 0 total errors (errmax= 3.5760e-09)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.5780e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY2" for ibody=24
d(Face)/d(DY2) check complete with 0 total errors (errmax= 3.1347e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ2" for ibody=24
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 3.0361e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.4409e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX3" for ibody=24
d(Face)/d(DX3) check complete with 0 total errors (errmax= 3.3480e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.7589e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY3" for ibody=24
d(Face)/d(DY3) check complete with 0 total errors (errmax= 2.9258e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 4.4409e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 2.6645e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ3" for ibody=24
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 2.9947e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.3570e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S1" for ibody=24
d(Face)/d(S1) check complete with 0 total errors (errmax= 5.4176e-09)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 2.6437e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S2" for ibody=24
d(Face)/d(S2) check complete with 0 total errors (errmax= 2.5270e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 2.1219e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.3075e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.194 sec
Sensitivity checks complete with 0 total errors (max config err= 1.0658e-08) with 0 suppressions
real 0m0.974s
user 0m0.968s
sys 0m0.024s
++++ set +x
data/basic/designP1a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 170 / 180 )
data/basic/designP1b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP1b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "X0" for ibody=24
d(Face)/d(X0) check complete with 0 total errors (errmax= 1.0914e-08)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 8.0431e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.4904e-09)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Y0" for ibody=24
d(Face)/d(Y0) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 4.3914e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 1.8259e-09)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Z0" for ibody=24
d(Face)/d(Z0) check complete with 0 total errors (errmax= 7.7440e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 9.7205e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 6.1677e-09)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "L" for ibody=24
d(Face)/d(L) check complete with 0 total errors (errmax= 1.0914e-08)
d(Edge)/d(L) check complete with 0 total errors (errmax= 1.4211e-08)
d(Node)/d(L) check complete with 0 total errors (errmax= 1.0658e-08)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "H" for ibody=24
d(Face)/d(H) check complete with 0 total errors (errmax= 1.2017e-08)
d(Edge)/d(H) check complete with 0 total errors (errmax= 1.0658e-08)
d(Node)/d(H) check complete with 0 total errors (errmax= 7.1054e-09)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX1" for ibody=24
d(Face)/d(DX1) check complete with 0 total errors (errmax= 1.0472e-08)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 4.4995e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY1" for ibody=24
d(Face)/d(DY1) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 4.8602e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ1" for ibody=24
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX2" for ibody=24
d(Face)/d(DX2) check complete with 0 total errors (errmax= 1.0472e-08)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY2" for ibody=24
d(Face)/d(DY2) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 3.0839e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ2" for ibody=24
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 2.1957e-09)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX3" for ibody=24
d(Face)/d(DX3) check complete with 0 total errors (errmax= 8.0269e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY3" for ibody=24
d(Face)/d(DY3) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 4.5040e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ3" for ibody=24
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.3570e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S1" for ibody=24
d(Face)/d(S1) check complete with 0 total errors (errmax= 1.1651e-08)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 5.6989e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S2" for ibody=24
d(Face)/d(S2) check complete with 0 total errors (errmax= 7.6447e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 6.1677e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.3075e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.748 sec
Sensitivity checks complete with 0 total errors (max config err= 1.4211e-08) with 0 suppressions
real 0m1.608s
user 0m1.672s
sys 0m0.000s
++++ set +x
data/basic/designP1b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 171 / 180 )
data/basic/designP1c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP1c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "X0" for ibody=24
d(Face)/d(X0) check complete with 0 total errors (errmax= 1.5074e-08)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 8.0431e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 4.4904e-09)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Y0" for ibody=24
d(Face)/d(Y0) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 4.3914e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 1.8259e-09)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "Z0" for ibody=24
d(Face)/d(Z0) check complete with 0 total errors (errmax= 8.7558e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 9.7205e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 6.1677e-09)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "L" for ibody=24
d(Face)/d(L) check complete with 0 total errors (errmax= 1.5074e-08)
d(Edge)/d(L) check complete with 0 total errors (errmax= 1.4211e-08)
d(Node)/d(L) check complete with 0 total errors (errmax= 1.0658e-08)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "H" for ibody=24
d(Face)/d(H) check complete with 0 total errors (errmax= 1.7743e-08)
d(Edge)/d(H) check complete with 0 total errors (errmax= 1.1579e-08)
d(Node)/d(H) check complete with 0 total errors (errmax= 7.1054e-09)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX1" for ibody=24
d(Face)/d(DX1) check complete with 0 total errors (errmax= 7.1555e-08)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 6.1993e-08)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY1" for ibody=24
d(Face)/d(DY1) check complete with 0 total errors (errmax= 7.2284e-08)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 6.2612e-08)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ1" for ibody=24
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 2.2136e-07)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 2.0980e-07)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX2" for ibody=24
d(Face)/d(DX2) check complete with 0 total errors (errmax= 1.9473e-07)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.9102e-07)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY2" for ibody=24
d(Face)/d(DY2) check complete with 0 total errors (errmax= 1.8067e-07)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.7885e-07)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ2" for ibody=24
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 1.4134e-07)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.1442e-07)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DX3" for ibody=24
d(Face)/d(DX3) check complete with 0 total errors (errmax= 4.6720e-08)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 4.1615e-08)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DY3" for ibody=24
d(Face)/d(DY3) check complete with 0 total errors (errmax= 4.6212e-08)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 4.1448e-08)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "DZ3" for ibody=24
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 7.4063e-08)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.9061e-08)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S1" for ibody=24
d(Face)/d(S1) check complete with 0 total errors (errmax= 9.4562e-09)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 9.3994e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=24
Computing finite difference sensitivities for ibody=24
Comparing configuration sensitivities wrt "S2" for ibody=24
d(Face)/d(S2) check complete with 0 total errors (errmax= 8.6509e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 6.1677e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.3075e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.562 sec
Sensitivity checks complete with 0 total errors (max config err= 2.2136e-07) with 0 suppressions
real 0m3.737s
user 0m3.772s
sys 0m0.012s
++++ set +x
data/basic/designP1c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 172 / 180 )
data/basic/designP2a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP2a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 1.4607e-09)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 1.0915e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 1.8160e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 1.4013e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 1.4607e-09)
d(Edge)/d(L) check complete with 0 total errors (errmax= 1.0915e-09)
d(Node)/d(L) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 2.0920e-09)
d(Edge)/d(H) check complete with 0 total errors (errmax= 8.3867e-10)
d(Node)/d(H) check complete with 0 total errors (errmax= 8.3867e-10)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 1.6591e-09)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 1.6591e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 1.4013e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 8.2957e-10)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 1.2534e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 2.6077e-09)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.5780e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 1.2804e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 9.8434e-10)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 1.2804e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 2.2044e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.7589e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 4.4409e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 4.4409e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 2.6645e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 1.8957e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.3570e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 3.2860e-09)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 2.6437e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 2.3029e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 2.1219e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.167 sec
Sensitivity checks complete with 0 total errors (max config err= 4.4409e-09) with 0 suppressions
real 0m1.013s
user 0m1.020s
sys 0m0.004s
++++ set +x
data/basic/designP2a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 173 / 180 )
data/basic/designP2b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP2b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 8.4869e-09)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 2.7140e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 8.4869e-09)
d(Edge)/d(L) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(L) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(H) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(H) check complete with 0 total errors (errmax= 8.3867e-10)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 1.0472e-08)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 4.4995e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 1.0472e-08)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 2.2452e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.3075e-09)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 8.0269e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 4.0216e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 1.4202e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 7.1054e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 1.3075e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 1.1651e-08)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 5.6989e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 7.6447e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 3.6430e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.835 sec
Sensitivity checks complete with 0 total errors (max config err= 1.1651e-08) with 0 suppressions
real 0m2.006s
user 0m2.064s
sys 0m0.012s
++++ set +x
data/basic/designP2b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 174 / 180 )
data/basic/designP2c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP2c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "X0" for ibody=14
d(Face)/d(X0) check complete with 0 total errors (errmax= 1.1539e-08)
d(Edge)/d(X0) check complete with 0 total errors (errmax= 6.1545e-09)
d(Node)/d(X0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Y0" for ibody=14
d(Face)/d(Y0) check complete with 0 total errors (errmax= 8.3313e-09)
d(Edge)/d(Y0) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(Y0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "Z0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "Z0" for ibody=14
d(Face)/d(Z0) check complete with 0 total errors (errmax= 7.2296e-09)
d(Edge)/d(Z0) check complete with 0 total errors (errmax= 4.4904e-09)
d(Node)/d(Z0) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "L"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "L" for ibody=14
d(Face)/d(L) check complete with 0 total errors (errmax= 1.1539e-08)
d(Edge)/d(L) check complete with 0 total errors (errmax= 6.1545e-09)
d(Node)/d(L) check complete with 0 total errors (errmax= 9.3769e-10)
*********************************************************
Starting configuration sensitivity wrt "H"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "H" for ibody=14
d(Face)/d(H) check complete with 0 total errors (errmax= 7.3953e-09)
d(Edge)/d(H) check complete with 0 total errors (errmax= 2.6150e-09)
d(Node)/d(H) check complete with 0 total errors (errmax= 8.3867e-10)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX1" for ibody=14
d(Face)/d(DX1) check complete with 0 total errors (errmax= 7.1555e-08)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 6.1993e-08)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY1" for ibody=14
d(Face)/d(DY1) check complete with 0 total errors (errmax= 7.2284e-08)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 6.2612e-08)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ1" for ibody=14
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 2.2187e-07)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 2.1010e-07)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX2" for ibody=14
d(Face)/d(DX2) check complete with 0 total errors (errmax= 1.9473e-07)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.9102e-07)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY2" for ibody=14
d(Face)/d(DY2) check complete with 0 total errors (errmax= 1.8149e-07)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.7938e-07)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ2" for ibody=14
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 1.4203e-07)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.1524e-07)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DX3" for ibody=14
d(Face)/d(DX3) check complete with 0 total errors (errmax= 4.6720e-08)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 4.1705e-08)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DY3" for ibody=14
d(Face)/d(DY3) check complete with 0 total errors (errmax= 4.6542e-08)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 4.1495e-08)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "DZ3" for ibody=14
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 7.3986e-08)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.9578e-08)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "S1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S1" for ibody=14
d(Face)/d(S1) check complete with 0 total errors (errmax= 9.3045e-09)
d(Edge)/d(S1) check complete with 0 total errors (errmax= 8.9755e-09)
d(Node)/d(S1) check complete with 0 total errors (errmax= 2.1462e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=14
Computing finite difference sensitivities for ibody=14
Comparing configuration sensitivities wrt "S2" for ibody=14
d(Face)/d(S2) check complete with 0 total errors (errmax= 9.6290e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 4.8290e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 9.3769e-10)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.729 sec
Sensitivity checks complete with 0 total errors (max config err= 2.2187e-07) with 0 suppressions
real 0m4.221s
user 0m4.296s
sys 0m0.000s
++++ set +x
data/basic/designP2c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 175 / 180 )
data/basic/designP3a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ytop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.050 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.062s
user 0m1.316s
sys 0m0.988s
++++ set +x
data/basic/designP3a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 176 / 180 )
data/basic/designP3b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ytop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 2.280 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m2.263s
user 0m1.576s
sys 0m0.964s
++++ set +x
data/basic/designP3b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 177 / 180 )
data/basic/designP3c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP3c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Y0"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "R"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ytop"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "Ybot"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=25
Sensitivity checks complete with 0 total errors ( finite diffs )
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 4.282 sec
Sensitivity checks complete with 0 total errors (max config err= 2.0000e-20) with 0 suppressions
real 0m4.404s
user 0m3.724s
sys 0m0.960s
++++ set +x
data/basic/designP3c -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 178 / 180 )
data/basic/designP4a.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP4a.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X1" for ibody=21
d(Face)/d(X1) check complete with 0 total errors (errmax= 5.0923e-07)
d(Edge)/d(X1) check complete with 0 total errors (errmax= 5.6713e-07)
d(Node)/d(X1) check complete with 0 total errors (errmax= 5.6713e-07)
*********************************************************
Starting configuration sensitivity wrt "R1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R1" for ibody=21
d(Face)/d(R1) check complete with 0 total errors (errmax= 6.6447e-07)
d(Edge)/d(R1) check complete with 0 total errors (errmax= 7.2807e-07)
d(Node)/d(R1) check complete with 0 total errors (errmax= 7.2807e-07)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X2" for ibody=21
d(Face)/d(X2) check complete with 0 total errors (errmax= 5.0865e-07)
d(Edge)/d(X2) check complete with 0 total errors (errmax= 5.5819e-07)
d(Node)/d(X2) check complete with 0 total errors (errmax= 5.5819e-07)
*********************************************************
Starting configuration sensitivity wrt "R2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R2" for ibody=21
d(Face)/d(R2) check complete with 0 total errors (errmax= 3.1374e-07)
d(Edge)/d(R2) check complete with 0 total errors (errmax= 3.7469e-07)
d(Node)/d(R2) check complete with 0 total errors (errmax= 3.7469e-07)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX1" for ibody=21
d(Face)/d(DX1) check complete with 0 total errors (errmax= 2.5831e-09)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 4.6838e-10)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY1" for ibody=21
d(Face)/d(DY1) check complete with 0 total errors (errmax= 2.0706e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ1" for ibody=21
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 2.0125e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 4.6884e-10)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX2" for ibody=21
d(Face)/d(DX2) check complete with 0 total errors (errmax= 2.4627e-09)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.3330e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY2" for ibody=21
d(Face)/d(DY2) check complete with 0 total errors (errmax= 2.0351e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.7733e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ2" for ibody=21
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 2.0731e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.4818e-09)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX3" for ibody=21
d(Face)/d(DX3) check complete with 0 total errors (errmax= 2.0206e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 4.6838e-10)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY3" for ibody=21
d(Face)/d(DY3) check complete with 0 total errors (errmax= 2.3313e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 3.5527e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ3" for ibody=21
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 2.1733e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 7.8131e-10)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "S2" for ibody=21
d(Face)/d(S2) check complete with 0 total errors (errmax= 2.7542e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 1.8912e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.1182e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 0.048 sec
Sensitivity checks complete with 0 total errors (max config err= 7.2807e-07) with 0 suppressions
real 0m2.379s
user 0m1.636s
sys 0m1.040s
++++ set +x
data/basic/designP4a -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 179 / 180 )
data/basic/designP4b.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP4b.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X1" for ibody=21
iface= 1, ipnt= 64 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 64 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 65 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 65 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 66 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 66 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 67 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 67 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 68 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 4.12500000)
iface= 1, ipnt= 68 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 4.12500000)
...too many errors to list
iface= 2, ipnt= 64 (X): anal= 2.26157558, fd= 2.26886612, err= -0.00729054 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Y): anal= -1.15956754, fd= -1.16330559, err= 0.00373804 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Z): anal= -0.55100402, fd= -0.55278027, err= 0.00177625 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 65 (X): anal= 2.26157558, fd= 2.26886612, err= -0.00729054 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Y): anal= -1.15956754, fd= -1.16330559, err= 0.00373804 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Z): anal= -0.55100402, fd= -0.55278027, err= 0.00177625 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 66 (X): anal= 2.26157558, fd= 2.26886612, err= -0.00729054 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Y): anal= -1.15956754, fd= -1.16330559, err= 0.00373805 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Z): anal= -0.55100402, fd= -0.55278027, err= 0.00177625 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 67 (X): anal= 2.26157558, fd= 2.26886612, err= -0.00729054 (at 3.92822482 -3.22498971 10.50000000)
...too many errors to list
iface= 3, ipnt= 96 (X): anal= 2.25621611, fd= 2.26348937, err= -0.00727326 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Y): anal= -1.15681960, fd= -1.16054879, err= 0.00372919 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Z): anal= 0.56405403, fd= 0.56587234, err= -0.00181831 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 97 (X): anal= 2.25621611, fd= 2.26348937, err= -0.00727326 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Y): anal= -1.15681960, fd= -1.16054879, err= 0.00372919 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Z): anal= 0.56405403, fd= 0.56587234, err= -0.00181831 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 98 (X): anal= 2.25621611, fd= 2.26348937, err= -0.00727326 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Y): anal= -1.15681960, fd= -1.16054879, err= 0.00372919 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Z): anal= 0.56405403, fd= 0.56587234, err= -0.00181832 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 99 (X): anal= 2.25621611, fd= 2.26348937, err= -0.00727326 (at 2.05322482 -2.47498971 22.50000000)
...too many errors to list
iface= 4, ipnt= 169 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 5.62500000)
iface= 4, ipnt= 170 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 5.25000000)
iface= 4, ipnt= 171 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 4.87500000)
iface= 4, ipnt= 172 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 4.50000000)
iface= 4, ipnt= 173 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 4.12500000)
iface= 4, ipnt= 174 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 3.75000000)
iface= 4, ipnt= 175 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 3.37500000)
iface= 4, ipnt= 176 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 3.00000000)
iface= 4, ipnt= 177 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 2.62500000)
iface= 4, ipnt= 178 (X): anal= 2.81262313, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 2.25000000)
...too many errors to list
iface= 5, ipnt= 184 (X): anal= 1.99616120, fd= 1.99627382, err= -0.00011263 (at 5.33091551 6.17792758 11.62500000)
iface= 5, ipnt= 185 (X): anal= 1.99616120, fd= 1.99627383, err= -0.00011263 (at 5.14341552 5.99042758 11.25000000)
iface= 5, ipnt= 186 (X): anal= 1.99616119, fd= 1.99627383, err= -0.00011263 (at 4.95591552 5.80292758 10.87500000)
iface= 5, ipnt= 187 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 4.76841552 5.61542758 10.50000000)
iface= 5, ipnt= 188 (X): anal= 1.99616119, fd= 1.99627383, err= -0.00011263 (at 4.58091552 5.42792758 10.12500000)
iface= 5, ipnt= 189 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 4.39341552 5.24042758 9.75000000)
iface= 5, ipnt= 190 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 4.20591552 5.05292758 9.37500000)
iface= 5, ipnt= 191 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 4.01841552 4.86542758 9.00000000)
iface= 5, ipnt= 192 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 3.83091552 4.67792758 8.62500000)
iface= 5, ipnt= 193 (X): anal= 1.99616119, fd= 1.99627382, err= -0.00011263 (at 3.64341552 4.49042758 8.25000000)
...too many errors to list
iface= 6, ipnt= 313 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 2.71269990 5.99999997 23.62500000)
iface= 6, ipnt= 314 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 2.80644990 5.99999997 23.25000000)
iface= 6, ipnt= 315 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 2.90019990 5.99999997 22.87500000)
iface= 6, ipnt= 316 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 2.99394990 5.99999997 22.50000000)
iface= 6, ipnt= 317 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.08769990 5.99999997 22.12500000)
iface= 6, ipnt= 318 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.18144990 5.99999997 21.75000000)
iface= 6, ipnt= 319 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.27519990 5.99999997 21.37500000)
iface= 6, ipnt= 320 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.36894990 5.99999997 21.00000000)
iface= 6, ipnt= 321 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.46269990 5.99999997 20.62500000)
iface= 6, ipnt= 322 (X): anal= 2.65694289, fd= 2.65682650, err= 0.00011639 (at 3.55644990 5.99999997 20.25000000)
...too many errors to list
iface= 7, ipnt= 64 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 64 (Y): anal= -0.07387065, fd= 0.00002420, err= -0.07389485 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 65 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 65 (Y): anal= -0.07387065, fd= 0.00002420, err= -0.07389485 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 66 (X): anal= 0.02572016, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 66 (Y): anal= -0.07387065, fd= 0.00002420, err= -0.07389486 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 67 (X): anal= 0.02572016, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 67 (Y): anal= -0.07387066, fd= 0.00002420, err= -0.07389486 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 68 (X): anal= 0.02572016, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 4.12500000)
iface= 7, ipnt= 68 (Y): anal= -0.07387066, fd= 0.00002420, err= -0.07389486 (at 1.02703137 5.66633623 4.12500000)
...too many errors to list
iface= 8, ipnt= 64 (X): anal= 0.02349444, fd= -0.00000770, err= 0.02350214 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Y): anal= -0.06747820, fd= 0.00002211, err= -0.06750031 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Z): anal= 0.02199188, fd= -0.00000721, err= 0.02199908 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 65 (X): anal= 0.02349444, fd= -0.00000770, err= 0.02350214 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Y): anal= -0.06747820, fd= 0.00002211, err= -0.06750031 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Z): anal= 0.02199188, fd= -0.00000721, err= 0.02199909 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 66 (X): anal= 0.02349444, fd= -0.00000770, err= 0.02350214 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Y): anal= -0.06747820, fd= 0.00002211, err= -0.06750031 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Z): anal= 0.02199188, fd= -0.00000721, err= 0.02199909 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 67 (X): anal= 0.02349444, fd= -0.00000770, err= 0.02350214 (at 3.27703137 7.91633623 10.50000000)
...too many errors to list
iface= 9, ipnt= 96 (X): anal= 0.02554751, fd= -0.00000837, err= 0.02555588 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Y): anal= -0.07337481, fd= 0.00002404, err= -0.07339885 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Z): anal= 0.00638688, fd= -0.00000209, err= 0.00638897 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 97 (X): anal= 0.02554751, fd= -0.00000837, err= 0.02555588 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Y): anal= -0.07337481, fd= 0.00002404, err= -0.07339885 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Z): anal= 0.00638688, fd= -0.00000209, err= 0.00638897 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 98 (X): anal= 0.02554751, fd= -0.00000837, err= 0.02555589 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Y): anal= -0.07337481, fd= 0.00002404, err= -0.07339885 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Z): anal= 0.00638688, fd= -0.00000209, err= 0.00638897 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 99 (X): anal= 0.02554751, fd= -0.00000837, err= 0.02555588 (at 1.40203137 8.66633623 22.50000000)
...too many errors to list
iface= 10, ipnt= 154 (X): anal= 0.00022395, fd= 0.00001510, err= 0.00020885 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 154 (Y): anal= 0.00014566, fd= 0.00000982, err= 0.00013584 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 155 (X): anal= 0.00022393, fd= 0.00001510, err= 0.00020883 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 155 (Y): anal= 0.00014565, fd= 0.00000982, err= 0.00013582 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 156 (X): anal= 0.00022391, fd= 0.00001510, err= 0.00020881 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 156 (Y): anal= 0.00014563, fd= 0.00000982, err= 0.00013581 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 157 (X): anal= 0.00022389, fd= 0.00001510, err= 0.00020879 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 157 (Y): anal= 0.00014562, fd= 0.00000982, err= 0.00013580 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 158 (X): anal= 0.00022388, fd= 0.00001510, err= 0.00020878 (at -2.02967759 -3.27144142 4.12500000)
iface= 10, ipnt= 158 (Y): anal= 0.00014561, fd= 0.00000982, err= 0.00013579 (at -2.02967759 -3.27144142 4.12500000)
...too many errors to list
iface= 11, ipnt= 154 (X): anal= 0.00015147, fd= 0.00001021, err= 0.00014126 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 154 (Z): anal= -0.00012500, fd= -0.00000843, err= -0.00011657 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 155 (X): anal= 0.00015146, fd= 0.00001021, err= 0.00014125 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 155 (Z): anal= -0.00012499, fd= -0.00000843, err= -0.00011656 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 156 (X): anal= 0.00015145, fd= 0.00001021, err= 0.00014123 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 156 (Z): anal= -0.00012498, fd= -0.00000843, err= -0.00011655 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 157 (X): anal= 0.00015144, fd= 0.00001021, err= 0.00014123 (at 0.22032241 -1.02144142 10.50000000)
iface= 11, ipnt= 157 (Z): anal= -0.00012497, fd= -0.00000843, err= -0.00011654 (at 0.22032241 -1.02144142 10.50000000)
iface= 11, ipnt= 158 (X): anal= 0.00015143, fd= 0.00001021, err= 0.00014122 (at 0.03282241 -1.20894142 10.12500000)
iface= 11, ipnt= 158 (Z): anal= -0.00012496, fd= -0.00000843, err= -0.00011653 (at 0.03282241 -1.20894142 10.12500000)
...too many errors to list
iface= 12, ipnt= 282 (X): anal= 0.00021455, fd= 0.00001446, err= 0.00020009 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 282 (Y): anal= 0.00013955, fd= 0.00000941, err= 0.00013014 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 283 (X): anal= 0.00021454, fd= 0.00001446, err= 0.00020008 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 283 (Y): anal= 0.00013954, fd= 0.00000941, err= 0.00013013 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 284 (X): anal= 0.00021454, fd= 0.00001446, err= 0.00020007 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 284 (Y): anal= 0.00013954, fd= 0.00000941, err= 0.00013013 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 285 (X): anal= 0.00021453, fd= 0.00001447, err= 0.00020007 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 285 (Y): anal= 0.00013953, fd= 0.00000941, err= 0.00013013 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 286 (X): anal= 0.00021453, fd= 0.00001447, err= 0.00020006 (at -1.56092759 -0.27144142 22.12500000)
iface= 12, ipnt= 286 (Y): anal= 0.00013953, fd= 0.00000941, err= 0.00013012 (at -1.56092759 -0.27144142 22.12500000)
...too many errors to list
d(Face)/d(X1) check complete with 4933 total errors (errmax= 7.3895e-02)
iedge= 2, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 -4.08585021 6.00000000)
iedge= 4, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 2.28298829 -4.08585021 6.00000000)
...too many errors to list
iedge= 7, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 5.28298829 -1.08585021 12.00000000)
iedge= 7, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 5.28298829 -1.08585021 12.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 -1.08585021 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 11, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 2.51841551 3.36542758 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053747, err= -0.00021280 (at 2.40639108 3.72749806 0.00000000)
iedge= 11, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 13, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 6.00000000)
iedge= 13, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 2.51841551 3.36542758 6.00000000)
iedge= 13, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053747, err= -0.00021280 (at 2.40639108 3.72749806 6.00000000)
iedge= 13, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 5.13504297 6.00000000)
...too many errors to list
iedge= 15, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 5.61894990 5.99999997 12.00000000)
iedge= 15, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 5.51841551 6.36542758 12.00000000)
iedge= 15, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053748, err= -0.00021280 (at 5.40639108 6.72749806 12.00000000)
iedge= 15, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 4.84579784 8.13504297 12.00000000)
...too many errors to list
iedge= 17, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 5.99999997 24.00000000)
iedge= 17, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 2.51841551 6.36542758 24.00000000)
iedge= 17, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053747, err= -0.00021280 (at 2.40639108 6.72749806 24.00000000)
iedge= 17, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000807, err= 0.00382025 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001351, err= 0.00879869 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000793, err= -0.00647068 (at -0.70042392 4.72301019 0.00000000)
iedge= 18, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001012, err= 0.00825873 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000807, err= 0.00382025 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001351, err= 0.00879869 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000793, err= -0.00647068 (at -0.70042392 4.72301019 6.00000000)
iedge= 20, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001012, err= 0.00825873 (at -0.70042392 4.72301019 6.00000000)
...too many errors to list
iedge= 22, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000808, err= 0.00382025 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001351, err= 0.00879869 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000793, err= -0.00647068 (at 2.29957608 7.72301019 12.00000000)
iedge= 22, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001012, err= 0.00825873 (at 2.29957608 7.72301019 12.00000000)
...too many errors to list
iedge= 24, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000808, err= 0.00382025 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001351, err= 0.00879869 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000793, err= -0.00647068 (at -0.70042392 7.72301019 24.00000000)
iedge= 24, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001012, err= 0.00825873 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 25, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 -4.72301019 0.00000000)
iedge= 25, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 26, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 -4.72301019 6.00000000)
iedge= 26, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at -0.70042392 -4.72301019 6.00000000)
...too many errors to list
iedge= 27, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at 2.29957608 -1.72301019 12.00000000)
iedge= 27, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at 2.29957608 -1.72301019 12.00000000)
...too many errors to list
iedge= 28, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 -1.72301019 24.00000000)
iedge= 28, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(X1) check complete with 248 total errors (errmax= 7.3895e-02)
d(Node)/d(X1) check complete with 0 total errors (errmax= 5.6713e-07)
*********************************************************
Starting configuration sensitivity wrt "R1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R1" for ibody=21
iface= 1, ipnt= 64 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 64 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 65 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 65 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 66 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 66 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 67 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 67 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389836 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 68 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 4.12500000)
iface= 1, ipnt= 68 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389836 (at 1.67822482 -5.47498971 4.12500000)
...too many errors to list
iface= 2, ipnt= 64 (X): anal= 2.55697350, fd= 2.54971163, err= 0.00726187 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Y): anal= -1.31102559, fd= -1.30730225, err= -0.00372335 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Z): anal= -0.62297395, fd= -0.62120469, err= -0.00176926 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 65 (X): anal= 2.55697350, fd= 2.54971163, err= 0.00726187 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Y): anal= -1.31102559, fd= -1.30730225, err= -0.00372335 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Z): anal= -0.62297395, fd= -0.62120469, err= -0.00176926 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 66 (X): anal= 2.55697350, fd= 2.54971163, err= 0.00726187 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Y): anal= -1.31102559, fd= -1.30730225, err= -0.00372335 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Z): anal= -0.62297395, fd= -0.62120469, err= -0.00176926 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 67 (X): anal= 2.55697350, fd= 2.54971163, err= 0.00726187 (at 3.92822482 -3.22498971 10.50000000)
...too many errors to list
iface= 3, ipnt= 96 (X): anal= 2.55091399, fd= 2.54366933, err= 0.00724466 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Y): anal= -1.30791873, fd= -1.30420421, err= -0.00371452 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Z): anal= 0.63772850, fd= 0.63591733, err= 0.00181117 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 97 (X): anal= 2.55091399, fd= 2.54366933, err= 0.00724466 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Y): anal= -1.30791873, fd= -1.30420421, err= -0.00371452 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Z): anal= 0.63772850, fd= 0.63591733, err= 0.00181117 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 98 (X): anal= 2.55091399, fd= 2.54366933, err= 0.00724466 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Y): anal= -1.30791873, fd= -1.30420421, err= -0.00371452 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Z): anal= 0.63772850, fd= 0.63591733, err= 0.00181117 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 99 (X): anal= 2.55091399, fd= 2.54366933, err= 0.00724466 (at 2.05322482 -2.47498971 22.50000000)
...too many errors to list
iface= 4, ipnt= 169 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 5.62500000)
iface= 4, ipnt= 170 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 5.25000000)
iface= 4, ipnt= 171 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 4.87500000)
iface= 4, ipnt= 172 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 4.50000000)
iface= 4, ipnt= 173 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 4.12500000)
iface= 4, ipnt= 174 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 3.75000000)
iface= 4, ipnt= 175 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 3.37500000)
iface= 4, ipnt= 176 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 3.00000000)
iface= 4, ipnt= 177 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 2.62500000)
iface= 4, ipnt= 178 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 2.25000000)
...too many errors to list
iface= 5, ipnt= 184 (X): anal= 2.07985052, fd= 2.07973797, err= 0.00011256 (at 5.33091551 6.17792758 11.62500000)
iface= 5, ipnt= 185 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011256 (at 5.14341552 5.99042758 11.25000000)
iface= 5, ipnt= 186 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011256 (at 4.95591552 5.80292758 10.87500000)
iface= 5, ipnt= 187 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011256 (at 4.76841552 5.61542758 10.50000000)
iface= 5, ipnt= 188 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011256 (at 4.58091552 5.42792758 10.12500000)
iface= 5, ipnt= 189 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011256 (at 4.39341552 5.24042758 9.75000000)
iface= 5, ipnt= 190 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011257 (at 4.20591552 5.05292758 9.37500000)
iface= 5, ipnt= 191 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011257 (at 4.01841552 4.86542758 9.00000000)
iface= 5, ipnt= 192 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011257 (at 3.83091552 4.67792758 8.62500000)
iface= 5, ipnt= 193 (X): anal= 2.07985053, fd= 2.07973796, err= 0.00011257 (at 3.64341552 4.49042758 8.25000000)
...too many errors to list
iface= 6, ipnt= 313 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 2.71269990 5.99999997 23.62500000)
iface= 6, ipnt= 314 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 2.80644990 5.99999997 23.25000000)
iface= 6, ipnt= 315 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 2.90019990 5.99999997 22.87500000)
iface= 6, ipnt= 316 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 2.99394990 5.99999997 22.50000000)
iface= 6, ipnt= 317 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.08769990 5.99999997 22.12500000)
iface= 6, ipnt= 318 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.18144990 5.99999997 21.75000000)
iface= 6, ipnt= 319 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.27519990 5.99999997 21.37500000)
iface= 6, ipnt= 320 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.36894990 5.99999997 21.00000000)
iface= 6, ipnt= 321 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.46269990 5.99999997 20.62500000)
iface= 6, ipnt= 322 (X): anal= 2.74384245, fd= 2.74395871, err= -0.00011626 (at 3.55644990 5.99999997 20.25000000)
...too many errors to list
iface= 7, ipnt= 64 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 64 (Y): anal= -0.08442360, fd= 0.00002758, err= -0.08445118 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 65 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 65 (Y): anal= -0.08442360, fd= 0.00002758, err= -0.08445118 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 66 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940407 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 66 (Y): anal= -0.08442360, fd= 0.00002758, err= -0.08445118 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 67 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940407 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 67 (Y): anal= -0.08442361, fd= 0.00002758, err= -0.08445119 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 68 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940407 (at 1.02703137 5.66633623 4.12500000)
iface= 7, ipnt= 68 (Y): anal= -0.08442361, fd= 0.00002758, err= -0.08445119 (at 1.02703137 5.66633623 4.12500000)
...too many errors to list
iface= 8, ipnt= 64 (X): anal= 0.02685079, fd= -0.00000877, err= 0.02685956 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Y): anal= -0.07711794, fd= 0.00002519, err= -0.07714313 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Z): anal= 0.02513358, fd= -0.00000821, err= 0.02514179 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 65 (X): anal= 0.02685079, fd= -0.00000877, err= 0.02685956 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Y): anal= -0.07711794, fd= 0.00002519, err= -0.07714314 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Z): anal= 0.02513358, fd= -0.00000821, err= 0.02514179 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 66 (X): anal= 0.02685079, fd= -0.00000877, err= 0.02685956 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Y): anal= -0.07711795, fd= 0.00002519, err= -0.07714314 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Z): anal= 0.02513358, fd= -0.00000821, err= 0.02514179 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 67 (X): anal= 0.02685079, fd= -0.00000877, err= 0.02685956 (at 3.27703137 7.91633623 10.50000000)
...too many errors to list
iface= 9, ipnt= 96 (X): anal= 0.02919716, fd= -0.00000954, err= 0.02920670 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Y): anal= -0.08385692, fd= 0.00002740, err= -0.08388432 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Z): anal= 0.00729929, fd= -0.00000238, err= 0.00730167 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 97 (X): anal= 0.02919716, fd= -0.00000954, err= 0.02920670 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Y): anal= -0.08385693, fd= 0.00002740, err= -0.08388432 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Z): anal= 0.00729929, fd= -0.00000238, err= 0.00730167 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 98 (X): anal= 0.02919716, fd= -0.00000954, err= 0.02920670 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Y): anal= -0.08385693, fd= 0.00002740, err= -0.08388432 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Z): anal= 0.00729929, fd= -0.00000238, err= 0.00730167 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 99 (X): anal= 0.02919716, fd= -0.00000954, err= 0.02920670 (at 1.40203137 8.66633623 22.50000000)
...too many errors to list
iface= 10, ipnt= 154 (X): anal= 0.00025595, fd= 0.00001727, err= 0.00023867 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 154 (Y): anal= 0.00016647, fd= 0.00001124, err= 0.00015523 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 155 (X): anal= 0.00025592, fd= 0.00001728, err= 0.00023865 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 155 (Y): anal= 0.00016645, fd= 0.00001124, err= 0.00015522 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 156 (X): anal= 0.00025590, fd= 0.00001728, err= 0.00023862 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 156 (Y): anal= 0.00016644, fd= 0.00001124, err= 0.00015520 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 157 (X): anal= 0.00025588, fd= 0.00001728, err= 0.00023860 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 157 (Y): anal= 0.00016643, fd= 0.00001124, err= 0.00015519 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 158 (X): anal= 0.00025587, fd= 0.00001728, err= 0.00023859 (at -2.02967759 -3.27144142 4.12500000)
iface= 10, ipnt= 158 (Y): anal= 0.00016642, fd= 0.00001124, err= 0.00015518 (at -2.02967759 -3.27144142 4.12500000)
...too many errors to list
iface= 11, ipnt= 154 (X): anal= 0.00017311, fd= 0.00001168, err= 0.00016143 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 154 (Y): anal= 0.00011259, fd= 0.00000760, err= 0.00010500 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 154 (Z): anal= -0.00014285, fd= -0.00000964, err= -0.00013321 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 155 (X): anal= 0.00017310, fd= 0.00001168, err= 0.00016141 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 155 (Y): anal= 0.00011258, fd= 0.00000760, err= 0.00010498 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 155 (Z): anal= -0.00014284, fd= -0.00000964, err= -0.00013320 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 156 (X): anal= 0.00017308, fd= 0.00001168, err= 0.00016140 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 156 (Y): anal= 0.00011258, fd= 0.00000760, err= 0.00010498 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 156 (Z): anal= -0.00014283, fd= -0.00000964, err= -0.00013319 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 157 (X): anal= 0.00017307, fd= 0.00001168, err= 0.00016139 (at 0.22032241 -1.02144142 10.50000000)
...too many errors to list
iface= 12, ipnt= 282 (X): anal= 0.00024520, fd= 0.00001655, err= 0.00022865 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 282 (Y): anal= 0.00015948, fd= 0.00001076, err= 0.00014872 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 283 (X): anal= 0.00024519, fd= 0.00001655, err= 0.00022865 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 283 (Y): anal= 0.00015948, fd= 0.00001076, err= 0.00014871 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 284 (X): anal= 0.00024519, fd= 0.00001655, err= 0.00022864 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 284 (Y): anal= 0.00015947, fd= 0.00001076, err= 0.00014871 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 285 (X): anal= 0.00024518, fd= 0.00001655, err= 0.00022863 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 285 (Y): anal= 0.00015947, fd= 0.00001076, err= 0.00014870 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 286 (X): anal= 0.00024517, fd= 0.00001655, err= 0.00022863 (at -1.56092759 -0.27144142 22.12500000)
iface= 12, ipnt= 286 (Y): anal= 0.00015946, fd= 0.00001076, err= 0.00014870 (at -1.56092759 -0.27144142 22.12500000)
...too many errors to list
d(Face)/d(R1) check complete with 4963 total errors (errmax= 8.4451e-02)
iedge= 2, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063871, err= 0.00080786 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063871, err= 0.00080786 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 -4.08585021 6.00000000)
iedge= 4, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 2.28298829 -4.08585021 6.00000000)
...too many errors to list
iedge= 7, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063871, err= 0.00080786 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 5.28298829 -1.08585021 12.00000000)
iedge= 7, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 5.28298829 -1.08585021 12.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063871, err= 0.00080786 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 -1.08585021 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 11, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 2.51841551 3.36542758 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 2.40639108 3.72749806 0.00000000)
iedge= 11, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 13, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 6.00000000)
iedge= 13, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 2.51841551 3.36542758 6.00000000)
iedge= 13, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 2.40639108 3.72749806 6.00000000)
iedge= 13, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 5.13504297 6.00000000)
...too many errors to list
iedge= 15, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 5.61894990 5.99999997 12.00000000)
iedge= 15, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 5.51841551 6.36542758 12.00000000)
iedge= 15, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 5.40639108 6.72749806 12.00000000)
iedge= 15, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063871, err= 0.00080786 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 4.84579784 8.13504297 12.00000000)
...too many errors to list
iedge= 17, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 5.99999997 24.00000000)
iedge= 17, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 2.51841551 6.36542758 24.00000000)
iedge= 17, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 2.40639108 6.72749806 24.00000000)
iedge= 17, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799500 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002342, err= -0.01527487 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 4.72301019 0.00000000)
iedge= 18, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799500 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002342, err= -0.01527487 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 4.72301019 6.00000000)
iedge= 20, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at -0.70042392 4.72301019 6.00000000)
...too many errors to list
iedge= 22, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799499 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002342, err= -0.01527487 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at 2.29957608 7.72301019 12.00000000)
iedge= 22, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at 2.29957608 7.72301019 12.00000000)
...too many errors to list
iedge= 24, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799499 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002342, err= -0.01527487 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 7.72301019 24.00000000)
iedge= 24, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 25, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098928 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120537 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151827 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 -4.72301019 0.00000000)
iedge= 25, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 26, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098928 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120537 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151827 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 -4.72301019 6.00000000)
iedge= 26, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at -0.70042392 -4.72301019 6.00000000)
...too many errors to list
iedge= 27, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098928 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120536 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151827 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at 2.29957608 -1.72301019 12.00000000)
iedge= 27, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at 2.29957608 -1.72301019 12.00000000)
...too many errors to list
iedge= 28, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098928 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120536 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151827 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 -1.72301019 24.00000000)
iedge= 28, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(R1) check complete with 248 total errors (errmax= 8.4451e-02)
d(Node)/d(R1) check complete with 0 total errors (errmax= 7.2807e-07)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X2" for ibody=21
iface= 1, ipnt= 64 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 64 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 65 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 65 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 66 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 66 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 67 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 67 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 68 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 4.12500000)
iface= 1, ipnt= 68 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 4.12500000)
...too many errors to list
iface= 2, ipnt= 64 (X): anal= 0.00729020, fd= -0.00000038, err= 0.00729057 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Y): anal= -0.00373787, fd= 0.00000019, err= -0.00373806 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Z): anal= -0.00177616, fd= 0.00000009, err= -0.00177626 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 65 (X): anal= 0.00729020, fd= -0.00000038, err= 0.00729057 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Y): anal= -0.00373787, fd= 0.00000019, err= -0.00373806 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Z): anal= -0.00177616, fd= 0.00000009, err= -0.00177626 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 66 (X): anal= 0.00729020, fd= -0.00000038, err= 0.00729057 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Y): anal= -0.00373787, fd= 0.00000019, err= -0.00373806 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Z): anal= -0.00177616, fd= 0.00000009, err= -0.00177626 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 67 (X): anal= 0.00729020, fd= -0.00000038, err= 0.00729057 (at 3.92822482 -3.22498971 10.50000000)
...too many errors to list
iface= 3, ipnt= 96 (X): anal= 0.00727292, fd= -0.00000038, err= 0.00727330 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Y): anal= -0.00372901, fd= 0.00000019, err= -0.00372920 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Z): anal= 0.00181823, fd= -0.00000009, err= 0.00181832 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 97 (X): anal= 0.00727292, fd= -0.00000037, err= 0.00727330 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Y): anal= -0.00372901, fd= 0.00000019, err= -0.00372920 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Z): anal= 0.00181823, fd= -0.00000009, err= 0.00181832 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 98 (X): anal= 0.00727292, fd= -0.00000037, err= 0.00727330 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Y): anal= -0.00372901, fd= 0.00000019, err= -0.00372920 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Z): anal= 0.00181823, fd= -0.00000009, err= 0.00181832 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 99 (X): anal= 0.00727292, fd= -0.00000037, err= 0.00727330 (at 2.05322482 -2.47498971 22.50000000)
...too many errors to list
iface= 4, ipnt= 169 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 5.62500000)
iface= 4, ipnt= 170 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 5.25000000)
iface= 4, ipnt= 171 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 4.87500000)
iface= 4, ipnt= 172 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 4.50000000)
iface= 4, ipnt= 173 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 4.12500000)
iface= 4, ipnt= 174 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 3.75000000)
iface= 4, ipnt= 175 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 3.37500000)
iface= 4, ipnt= 176 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 3.00000000)
iface= 4, ipnt= 177 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 2.62500000)
iface= 4, ipnt= 178 (X): anal= -0.00012313, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 2.25000000)
...too many errors to list
iface= 5, ipnt= 184 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 5.33091551 6.17792758 11.62500000)
iface= 5, ipnt= 185 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 5.14341552 5.99042758 11.25000000)
iface= 5, ipnt= 186 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.95591552 5.80292758 10.87500000)
iface= 5, ipnt= 187 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.76841552 5.61542758 10.50000000)
iface= 5, ipnt= 188 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.58091552 5.42792758 10.12500000)
iface= 5, ipnt= 189 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.39341552 5.24042758 9.75000000)
iface= 5, ipnt= 190 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.20591552 5.05292758 9.37500000)
iface= 5, ipnt= 191 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 4.01841552 4.86542758 9.00000000)
iface= 5, ipnt= 192 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 3.83091552 4.67792758 8.62500000)
iface= 5, ipnt= 193 (X): anal= 0.00011242, fd= -0.00000022, err= 0.00011264 (at 3.64341552 4.49042758 8.25000000)
...too many errors to list
iface= 6, ipnt= 313 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 2.71269990 5.99999997 23.62500000)
iface= 6, ipnt= 314 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 2.80644990 5.99999997 23.25000000)
iface= 6, ipnt= 315 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 2.90019990 5.99999997 22.87500000)
iface= 6, ipnt= 316 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 2.99394990 5.99999997 22.50000000)
iface= 6, ipnt= 317 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.08769990 5.99999997 22.12500000)
iface= 6, ipnt= 318 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.18144990 5.99999997 21.75000000)
iface= 6, ipnt= 319 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.27519990 5.99999997 21.37500000)
iface= 6, ipnt= 320 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.36894990 5.99999997 21.00000000)
iface= 6, ipnt= 321 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.46269990 5.99999997 20.62500000)
iface= 6, ipnt= 322 (X): anal= -0.00011632, fd= 0.00000006, err= -0.00011638 (at 3.55644990 5.99999997 20.25000000)
...too many errors to list
iface= 7, ipnt= 64 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 64 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389587 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 65 (X): anal= 0.29864229, fd= 0.32437123, err= -0.02572894 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 65 (Y): anal= -0.85772816, fd= -0.93162403, err= 0.07389587 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 66 (X): anal= 0.29864229, fd= 0.32437123, err= -0.02572894 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 66 (Y): anal= -0.85772816, fd= -0.93162403, err= 0.07389587 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 67 (X): anal= 0.29864229, fd= 0.32437123, err= -0.02572894 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 67 (Y): anal= -0.85772816, fd= -0.93162403, err= 0.07389588 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 68 (X): anal= 0.29864229, fd= 0.32437123, err= -0.02572894 (at 1.02703137 5.66633623 4.12500000)
iface= 7, ipnt= 68 (Y): anal= -0.85772816, fd= -0.93162403, err= 0.07389588 (at 1.02703137 5.66633623 4.12500000)
...too many errors to list
iface= 8, ipnt= 64 (X): anal= 0.27279908, fd= 0.29630154, err= -0.02350246 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Y): anal= -0.78350406, fd= -0.85100530, err= 0.06750123 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Z): anal= 0.25535249, fd= 0.27735188, err= -0.02199939 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 65 (X): anal= 0.27279908, fd= 0.29630154, err= -0.02350246 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Y): anal= -0.78350406, fd= -0.85100530, err= 0.06750124 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Z): anal= 0.25535249, fd= 0.27735188, err= -0.02199939 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 66 (X): anal= 0.27279907, fd= 0.29630154, err= -0.02350246 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Y): anal= -0.78350406, fd= -0.85100530, err= 0.06750124 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Z): anal= 0.25535249, fd= 0.27735188, err= -0.02199939 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 67 (X): anal= 0.27279907, fd= 0.29630154, err= -0.02350246 (at 3.27703137 7.91633623 10.50000000)
...too many errors to list
iface= 9, ipnt= 96 (X): anal= 0.29663775, fd= 0.32219399, err= -0.02555623 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Y): anal= -0.85197093, fd= -0.92537079, err= 0.07339986 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Z): anal= 0.07415944, fd= 0.08054850, err= -0.00638906 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 97 (X): anal= 0.29663775, fd= 0.32219399, err= -0.02555624 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Y): anal= -0.85197093, fd= -0.92537079, err= 0.07339986 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Z): anal= 0.07415944, fd= 0.08054850, err= -0.00638906 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 98 (X): anal= 0.29663775, fd= 0.32219399, err= -0.02555624 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Y): anal= -0.85197093, fd= -0.92537079, err= 0.07339986 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Z): anal= 0.07415944, fd= 0.08054850, err= -0.00638906 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 99 (X): anal= 0.29663775, fd= 0.32219399, err= -0.02555624 (at 1.40203137 8.66633623 22.50000000)
...too many errors to list
iface= 10, ipnt= 154 (X): anal= 2.10795251, fd= 2.10816156, err= -0.00020905 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 154 (Y): anal= 1.37102952, fd= 1.37116549, err= -0.00013597 (at -2.02967759 -3.27144142 5.62500000)
iface= 10, ipnt= 155 (X): anal= 2.10795254, fd= 2.10816156, err= -0.00020902 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 155 (Y): anal= 1.37102954, fd= 1.37116549, err= -0.00013595 (at -2.02967759 -3.27144142 5.25000000)
iface= 10, ipnt= 156 (X): anal= 2.10795256, fd= 2.10816156, err= -0.00020900 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 156 (Y): anal= 1.37102955, fd= 1.37116549, err= -0.00013594 (at -2.02967759 -3.27144142 4.87500000)
iface= 10, ipnt= 157 (X): anal= 2.10795258, fd= 2.10816157, err= -0.00020899 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 157 (Y): anal= 1.37102956, fd= 1.37116549, err= -0.00013593 (at -2.02967759 -3.27144142 4.50000000)
iface= 10, ipnt= 158 (X): anal= 2.10795259, fd= 2.10816157, err= -0.00020897 (at -2.02967759 -3.27144142 4.12500000)
iface= 10, ipnt= 158 (Y): anal= 1.37102957, fd= 1.37116548, err= -0.00013592 (at -2.02967759 -3.27144142 4.12500000)
...too many errors to list
iface= 11, ipnt= 154 (X): anal= 1.42570908, fd= 1.42585048, err= -0.00014139 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 154 (Z): anal= -1.17650096, fd= -1.17661763, err= 0.00011668 (at 0.78282241 -0.45894142 11.62500000)
iface= 11, ipnt= 155 (X): anal= 1.42570910, fd= 1.42585048, err= -0.00014138 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 155 (Z): anal= -1.17650097, fd= -1.17661763, err= 0.00011667 (at 0.59532241 -0.64644142 11.25000000)
iface= 11, ipnt= 156 (X): anal= 1.42570911, fd= 1.42585048, err= -0.00014137 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 156 (Z): anal= -1.17650098, fd= -1.17661763, err= 0.00011666 (at 0.40782241 -0.83394142 10.87500000)
iface= 11, ipnt= 157 (X): anal= 1.42570912, fd= 1.42585048, err= -0.00014136 (at 0.22032241 -1.02144142 10.50000000)
iface= 11, ipnt= 157 (Z): anal= -1.17650099, fd= -1.17661763, err= 0.00011665 (at 0.22032241 -1.02144142 10.50000000)
iface= 11, ipnt= 158 (X): anal= 1.42570913, fd= 1.42585048, err= -0.00014135 (at 0.03282241 -1.20894142 10.12500000)
iface= 11, ipnt= 158 (Z): anal= -1.17650099, fd= -1.17661763, err= 0.00011664 (at 0.03282241 -1.20894142 10.12500000)
...too many errors to list
iface= 12, ipnt= 282 (X): anal= 2.01926565, fd= 2.01946592, err= -0.00020027 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 282 (Y): anal= 1.31334687, fd= 1.31347712, err= -0.00013026 (at -1.93592759 -0.27144142 23.62500000)
iface= 12, ipnt= 283 (X): anal= 2.01926566, fd= 2.01946593, err= -0.00020027 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 283 (Y): anal= 1.31334687, fd= 1.31347712, err= -0.00013026 (at -1.84217759 -0.27144142 23.25000000)
iface= 12, ipnt= 284 (X): anal= 2.01926566, fd= 2.01946593, err= -0.00020026 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 284 (Y): anal= 1.31334687, fd= 1.31347712, err= -0.00013025 (at -1.74842759 -0.27144142 22.87500000)
iface= 12, ipnt= 285 (X): anal= 2.01926567, fd= 2.01946593, err= -0.00020026 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 285 (Y): anal= 1.31334688, fd= 1.31347712, err= -0.00013025 (at -1.65467759 -0.27144142 22.50000000)
iface= 12, ipnt= 286 (X): anal= 2.01926568, fd= 2.01946593, err= -0.00020025 (at -1.56092759 -0.27144142 22.12500000)
iface= 12, ipnt= 286 (Y): anal= 1.31334688, fd= 1.31347712, err= -0.00013024 (at -1.56092759 -0.27144142 22.12500000)
...too many errors to list
d(Face)/d(X2) check complete with 4933 total errors (errmax= 7.3896e-02)
iedge= 2, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 -4.08585021 6.00000000)
iedge= 4, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 2.28298829 -4.08585021 6.00000000)
...too many errors to list
iedge= 7, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 5.28298829 -1.08585021 12.00000000)
iedge= 7, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 5.28298829 -1.08585021 12.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 -1.08585021 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 11, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 2.51841551 3.36542758 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 2.40639108 3.72749806 0.00000000)
iedge= 11, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000006, err= -0.00040050 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 2.14833053 4.44012664 0.00000000)
iedge= 11, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 2.00255196 4.78997392 0.00000000)
iedge= 11, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 13, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 6.00000000)
iedge= 13, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 2.51841551 3.36542758 6.00000000)
iedge= 13, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 2.40639108 3.72749806 6.00000000)
iedge= 13, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000006, err= -0.00040050 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 2.14833053 4.44012664 6.00000000)
iedge= 13, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 2.00255196 4.78997392 6.00000000)
iedge= 13, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604111 (at 1.84579784 5.13504297 6.00000000)
...too many errors to list
iedge= 15, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 5.61894990 5.99999997 12.00000000)
iedge= 15, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 5.51841551 6.36542758 12.00000000)
iedge= 15, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 5.40639108 6.72749806 12.00000000)
iedge= 15, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000007, err= -0.00040050 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000038, err= 0.00165179 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 5.14833053 7.44012664 12.00000000)
iedge= 15, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 5.00255196 7.78997392 12.00000000)
iedge= 15, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604111 (at 4.84579784 8.13504297 12.00000000)
...too many errors to list
iedge= 17, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 5.99999997 24.00000000)
iedge= 17, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 2.51841551 6.36542758 24.00000000)
iedge= 17, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 2.40639108 6.72749806 24.00000000)
iedge= 17, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000007, err= -0.00040050 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000038, err= 0.00165179 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 2.14833053 7.44012664 24.00000000)
iedge= 17, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 2.00255196 7.78997392 24.00000000)
iedge= 17, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604111 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465251 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, err= -0.05558359 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 4.72301019 0.00000000)
iedge= 18, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465251 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, err= -0.05558359 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 4.72301019 6.00000000)
iedge= 20, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at -0.70042392 4.72301019 6.00000000)
...too many errors to list
iedge= 22, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465251 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, err= -0.05558359 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at 2.29957608 7.72301019 12.00000000)
iedge= 22, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at 2.29957608 7.72301019 12.00000000)
...too many errors to list
iedge= 24, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465251 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, err= -0.05558359 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 7.72301019 24.00000000)
iedge= 24, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 25, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at -2.02967759 -3.27144142 0.00000000)
iedge= 25, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086537 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 -4.72301019 0.00000000)
iedge= 25, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 26, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at -2.02967759 -3.27144142 6.00000000)
iedge= 26, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086537 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 -4.72301019 6.00000000)
iedge= 26, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at -0.70042392 -4.72301019 6.00000000)
...too many errors to list
iedge= 27, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at 0.97032241 -0.27144142 12.00000000)
iedge= 27, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086536 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at 2.29957608 -1.72301019 12.00000000)
iedge= 27, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at 2.29957608 -1.72301019 12.00000000)
...too many errors to list
iedge= 28, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at -2.02967759 -0.27144142 24.00000000)
iedge= 28, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086536 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 -1.72301019 24.00000000)
iedge= 28, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(X2) check complete with 248 total errors (errmax= 7.3896e-02)
d(Node)/d(X2) check complete with 0 total errors (errmax= 5.5819e-07)
*********************************************************
Starting configuration sensitivity wrt "R2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R2" for ibody=21
iface= 1, ipnt= 64 (X): anal= -0.03053143, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 64 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 5.62500000)
iface= 1, ipnt= 65 (X): anal= -0.03053143, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 65 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 5.25000000)
iface= 1, ipnt= 66 (X): anal= -0.03053143, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 66 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 4.87500000)
iface= 1, ipnt= 67 (X): anal= -0.03053143, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 67 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 4.50000000)
iface= 1, ipnt= 68 (X): anal= -0.03053143, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 4.12500000)
iface= 1, ipnt= 68 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 4.12500000)
...too many errors to list
iface= 2, ipnt= 64 (X): anal= -0.02916079, fd= 0.00000113, err= -0.02916192 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Y): anal= 0.01495148, fd= -0.00000058, err= 0.01495206 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 64 (Z): anal= 0.00710465, fd= -0.00000028, err= 0.00710493 (at 4.49072482 -2.66248971 11.62500000)
iface= 2, ipnt= 65 (X): anal= -0.02916079, fd= 0.00000113, err= -0.02916192 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Y): anal= 0.01495148, fd= -0.00000058, err= 0.01495206 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 65 (Z): anal= 0.00710465, fd= -0.00000028, err= 0.00710493 (at 4.30322482 -2.84998971 11.25000000)
iface= 2, ipnt= 66 (X): anal= -0.02916079, fd= 0.00000113, err= -0.02916192 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Y): anal= 0.01495148, fd= -0.00000058, err= 0.01495206 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 66 (Z): anal= 0.00710465, fd= -0.00000028, err= 0.00710493 (at 4.11572482 -3.03748971 10.87500000)
iface= 2, ipnt= 67 (X): anal= -0.02916079, fd= 0.00000113, err= -0.02916192 (at 3.92822482 -3.22498971 10.50000000)
...too many errors to list
iface= 3, ipnt= 96 (X): anal= -0.02909168, fd= 0.00000113, err= -0.02909281 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Y): anal= 0.01491605, fd= -0.00000058, err= 0.01491663 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 96 (Z): anal= -0.00727292, fd= 0.00000028, err= -0.00727320 (at 1.77197482 -2.47498971 23.62500000)
iface= 3, ipnt= 97 (X): anal= -0.02909168, fd= 0.00000113, err= -0.02909281 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Y): anal= 0.01491605, fd= -0.00000058, err= 0.01491663 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 97 (Z): anal= -0.00727292, fd= 0.00000028, err= -0.00727320 (at 1.86572482 -2.47498971 23.25000000)
iface= 3, ipnt= 98 (X): anal= -0.02909168, fd= 0.00000113, err= -0.02909281 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Y): anal= 0.01491605, fd= -0.00000058, err= 0.01491663 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 98 (Z): anal= -0.00727292, fd= 0.00000028, err= -0.00727320 (at 1.95947482 -2.47498971 22.87500000)
iface= 3, ipnt= 99 (X): anal= -0.02909169, fd= 0.00000113, err= -0.02909281 (at 2.05322482 -2.47498971 22.50000000)
...too many errors to list
iface= 4, ipnt= 154 (X): anal= -0.00012370, fd= -0.00000120, err= -0.00012251 (at 2.70789420 2.63157980 5.62500000)
iface= 4, ipnt= 155 (X): anal= -0.00012369, fd= -0.00000120, err= -0.00012249 (at 2.70789420 2.63157980 5.25000000)
iface= 4, ipnt= 156 (X): anal= -0.00012368, fd= -0.00000120, err= -0.00012248 (at 2.70789420 2.63157980 4.87500000)
iface= 4, ipnt= 157 (X): anal= -0.00012367, fd= -0.00000120, err= -0.00012247 (at 2.70789420 2.63157980 4.50000000)
iface= 4, ipnt= 158 (X): anal= -0.00012366, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 4.12500000)
iface= 4, ipnt= 159 (X): anal= -0.00012366, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 3.75000000)
iface= 4, ipnt= 160 (X): anal= -0.00012366, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 3.37500000)
iface= 4, ipnt= 161 (X): anal= -0.00012365, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 3.00000000)
iface= 4, ipnt= 162 (X): anal= -0.00012366, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 2.62500000)
iface= 4, ipnt= 163 (X): anal= -0.00012366, fd= -0.00000120, err= -0.00012246 (at 2.70789420 2.63157980 2.25000000)
...too many errors to list
iface= 5, ipnt= 169 (X): anal= 0.00035926, fd= -0.00000027, err= 0.00035953 (at 5.43144990 5.81249996 11.62500000)
iface= 5, ipnt= 169 (Z): anal= -0.00022601, fd= 0.00000017, err= -0.00022618 (at 5.43144990 5.81249996 11.62500000)
iface= 5, ipnt= 170 (X): anal= 0.00035925, fd= -0.00000027, err= 0.00035953 (at 5.24394990 5.62499996 11.25000000)
iface= 5, ipnt= 170 (Z): anal= -0.00022601, fd= 0.00000017, err= -0.00022618 (at 5.24394990 5.62499996 11.25000000)
iface= 5, ipnt= 171 (X): anal= 0.00035925, fd= -0.00000027, err= 0.00035952 (at 5.05644990 5.43749996 10.87500000)
iface= 5, ipnt= 171 (Z): anal= -0.00022601, fd= 0.00000017, err= -0.00022618 (at 5.05644990 5.43749996 10.87500000)
iface= 5, ipnt= 172 (X): anal= 0.00035925, fd= -0.00000027, err= 0.00035952 (at 4.86894990 5.24999996 10.50000000)
iface= 5, ipnt= 172 (Z): anal= -0.00022600, fd= 0.00000017, err= -0.00022617 (at 4.86894990 5.24999996 10.50000000)
iface= 5, ipnt= 173 (X): anal= 0.00035925, fd= -0.00000027, err= 0.00035952 (at 4.68144990 5.06249996 10.12500000)
iface= 5, ipnt= 173 (Z): anal= -0.00022600, fd= 0.00000017, err= -0.00022617 (at 4.68144990 5.06249996 10.12500000)
...too many errors to list
iface= 6, ipnt= 282 (X): anal= -0.00011677, fd= -0.00000113, err= -0.00011564 (at 2.80164420 5.63157980 23.62500000)
iface= 6, ipnt= 283 (X): anal= -0.00011676, fd= -0.00000113, err= -0.00011563 (at 2.89539420 5.63157980 23.25000000)
iface= 6, ipnt= 284 (X): anal= -0.00011676, fd= -0.00000113, err= -0.00011563 (at 2.98914420 5.63157980 22.87500000)
iface= 6, ipnt= 285 (X): anal= -0.00011676, fd= -0.00000113, err= -0.00011563 (at 3.08289420 5.63157980 22.50000000)
iface= 6, ipnt= 286 (X): anal= -0.00011675, fd= -0.00000113, err= -0.00011562 (at 3.17664420 5.63157980 22.12500000)
iface= 6, ipnt= 287 (X): anal= -0.00011675, fd= -0.00000113, err= -0.00011562 (at 3.27039420 5.63157980 21.75000000)
iface= 6, ipnt= 288 (X): anal= -0.00011675, fd= -0.00000113, err= -0.00011562 (at 3.36414420 5.63157980 21.37500000)
iface= 6, ipnt= 289 (X): anal= -0.00011675, fd= -0.00000113, err= -0.00011562 (at 3.45789420 5.63157980 21.00000000)
iface= 6, ipnt= 290 (X): anal= -0.00011675, fd= -0.00000113, err= -0.00011562 (at 3.55164420 5.63157980 20.62500000)
iface= 6, ipnt= 291 (X): anal= -0.00011674, fd= -0.00000113, err= -0.00011561 (at 3.64539420 5.63157980 20.25000000)
...too many errors to list
iface= 7, ipnt= 64 (X): anal= -0.99372478, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 64 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 5.62500000)
iface= 7, ipnt= 65 (X): anal= -0.99372478, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 65 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 5.25000000)
iface= 7, ipnt= 66 (X): anal= -0.99372478, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 66 (Y): anal= 2.85406904, fd= 2.83317244, err= 0.02089660 (at 1.02703137 5.66633623 4.87500000)
iface= 7, ipnt= 67 (X): anal= -0.99372478, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 67 (Y): anal= 2.85406904, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 4.50000000)
iface= 7, ipnt= 68 (X): anal= -0.99372478, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 4.12500000)
iface= 7, ipnt= 68 (Y): anal= 2.85406904, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 4.12500000)
...too many errors to list
iface= 8, ipnt= 64 (X): anal= -0.90773211, fd= -0.90108598, err= -0.00664613 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Y): anal= 2.60709018, fd= 2.58800188, err= 0.01908830 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 64 (Z): anal= -0.84967903, fd= -0.84345795, err= -0.00622108 (at 3.83953137 8.47883623 11.62500000)
iface= 8, ipnt= 65 (X): anal= -0.90773211, fd= -0.90108598, err= -0.00664613 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Y): anal= 2.60709018, fd= 2.58800188, err= 0.01908830 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 65 (Z): anal= -0.84967903, fd= -0.84345795, err= -0.00622108 (at 3.65203137 8.29133623 11.25000000)
iface= 8, ipnt= 66 (X): anal= -0.90773211, fd= -0.90108598, err= -0.00664613 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Y): anal= 2.60709018, fd= 2.58800188, err= 0.01908830 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 66 (Z): anal= -0.84967903, fd= -0.84345795, err= -0.00622108 (at 3.46453137 8.10383623 10.87500000)
iface= 8, ipnt= 67 (X): anal= -0.90773211, fd= -0.90108598, err= -0.00664613 (at 3.27703137 7.91633623 10.50000000)
...too many errors to list
iface= 9, ipnt= 96 (X): anal= -0.98705470, fd= -0.97982780, err= -0.00722690 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Y): anal= 2.83491197, fd= 2.81415563, err= 0.02075634 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 96 (Z): anal= -0.24676368, fd= -0.24495695, err= -0.00180673 (at 1.12078137 8.66633623 23.62500000)
iface= 9, ipnt= 97 (X): anal= -0.98705470, fd= -0.97982780, err= -0.00722690 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Y): anal= 2.83491197, fd= 2.81415563, err= 0.02075634 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 97 (Z): anal= -0.24676368, fd= -0.24495695, err= -0.00180673 (at 1.21453137 8.66633623 23.25000000)
iface= 9, ipnt= 98 (X): anal= -0.98705470, fd= -0.97982780, err= -0.00722691 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Y): anal= 2.83491197, fd= 2.81415563, err= 0.02075634 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 98 (Z): anal= -0.24676368, fd= -0.24495695, err= -0.00180673 (at 1.30828137 8.66633623 22.87500000)
iface= 9, ipnt= 99 (X): anal= -0.98705470, fd= -0.97982780, err= -0.00722691 (at 1.40203137 8.66633623 22.50000000)
...too many errors to list
iface= 10, ipnt= 64 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at -2.97964862 -0.49373460 5.62500000)
iface= 10, ipnt= 65 (X): anal= -2.98959937, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373460 5.25000000)
iface= 10, ipnt= 66 (X): anal= -2.98959937, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373460 4.87500000)
iface= 10, ipnt= 67 (X): anal= -2.98959937, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373460 4.50000000)
iface= 10, ipnt= 68 (X): anal= -2.98959937, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373460 4.12500000)
iface= 10, ipnt= 69 (X): anal= -2.98959936, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373461 3.75000000)
iface= 10, ipnt= 70 (X): anal= -2.98959936, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373461 3.37500000)
iface= 10, ipnt= 71 (X): anal= -2.98959936, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373461 3.00000000)
iface= 10, ipnt= 72 (X): anal= -2.98959936, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373461 2.62500000)
iface= 10, ipnt= 73 (X): anal= -2.98959936, fd= -2.98982865, err= 0.00022929 (at -2.97964862 -0.49373461 2.25000000)
...too many errors to list
iface= 11, ipnt= 64 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017760 (at -0.16714862 2.31876540 11.62500000)
iface= 11, ipnt= 65 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017760 (at -0.35464862 2.13126540 11.25000000)
iface= 11, ipnt= 66 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017760 (at -0.54214862 1.94376540 10.87500000)
iface= 11, ipnt= 67 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -0.72964862 1.75626540 10.50000000)
iface= 11, ipnt= 68 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -0.91714862 1.56876539 10.12500000)
iface= 11, ipnt= 69 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -1.10464862 1.38126539 9.75000000)
iface= 11, ipnt= 70 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -1.29214862 1.19376539 9.37500000)
iface= 11, ipnt= 71 (X): anal= -2.31572498, fd= -2.31590259, err= 0.00017761 (at -1.47964862 1.00626540 9.00000000)
iface= 11, ipnt= 72 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -1.66714862 0.81876540 8.62500000)
iface= 11, ipnt= 73 (X): anal= -2.31572499, fd= -2.31590259, err= 0.00017761 (at -1.85464862 0.63126540 8.25000000)
...too many errors to list
iface= 12, ipnt= 96 (X): anal= -2.81486150, fd= -2.81507738, err= 0.00021588 (at -2.88589862 2.50626540 23.62500000)
iface= 12, ipnt= 97 (X): anal= -2.81486150, fd= -2.81507738, err= 0.00021588 (at -2.79214862 2.50626540 23.25000000)
iface= 12, ipnt= 98 (X): anal= -2.81486150, fd= -2.81507738, err= 0.00021588 (at -2.69839862 2.50626540 22.87500000)
iface= 12, ipnt= 99 (X): anal= -2.81486150, fd= -2.81507738, err= 0.00021588 (at -2.60464862 2.50626540 22.50000000)
iface= 12, ipnt= 100 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021588 (at -2.51089862 2.50626540 22.12500000)
iface= 12, ipnt= 101 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021588 (at -2.41714862 2.50626540 21.75000000)
iface= 12, ipnt= 102 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021588 (at -2.32339862 2.50626540 21.37500000)
iface= 12, ipnt= 103 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021588 (at -2.22964862 2.50626540 21.00000000)
iface= 12, ipnt= 104 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021588 (at -2.13589862 2.50626540 20.62500000)
iface= 12, ipnt= 105 (X): anal= -2.81486149, fd= -2.81507738, err= 0.00021589 (at -2.04214862 2.50626540 20.25000000)
...too many errors to list
d(Face)/d(R2) check complete with 5359 total errors (errmax= 3.0533e-02)
iedge= 2, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000166, err= 0.02416477 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 6.00000000)
iedge= 4, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000166, err= 0.02416477 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 1.84579784 -5.13504297 6.00000000)
iedge= 4, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 2.00255196 -4.78997392 6.00000000)
iedge= 4, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 2.14833053 -4.44012664 6.00000000)
iedge= 4, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 -4.08585021 6.00000000)
iedge= 4, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 2.28298829 -4.08585021 6.00000000)
...too many errors to list
iedge= 7, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 4.67822482 -2.47498971 12.00000000)
iedge= 7, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000166, err= 0.02416477 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 4.84579784 -2.13504297 12.00000000)
iedge= 7, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 5.00255196 -1.78997392 12.00000000)
iedge= 7, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660690 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 5.14833053 -1.44012664 12.00000000)
iedge= 7, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 5.28298829 -1.08585021 12.00000000)
iedge= 7, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 5.28298829 -1.08585021 12.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -2.47498971 24.00000000)
iedge= 10, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000166, err= 0.02416477 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 1.84579784 -2.13504297 24.00000000)
iedge= 10, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 2.00255196 -1.78997392 24.00000000)
iedge= 10, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 2.14833053 -1.44012664 24.00000000)
iedge= 10, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 -1.08585021 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 11, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 2.70789420 2.63157980 0.00000000)
iedge= 11, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 2.61894990 2.99999997 0.00000000)
iedge= 11, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 2.61894990 2.99999997 0.00000000)
iedge= 11, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 2.51841551 3.36542758 0.00000000)
iedge= 11, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 2.51841551 3.36542758 0.00000000)
iedge= 11, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 2.40639108 3.72749806 0.00000000)
iedge= 11, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 2.40639108 3.72749806 0.00000000)
iedge= 11, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 2.28298829 4.08585021 0.00000000)
iedge= 11, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 4.44012664 0.00000000)
...too many errors to list
iedge= 13, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 2.70789420 2.63157980 6.00000000)
iedge= 13, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 2.61894990 2.99999997 6.00000000)
iedge= 13, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 2.61894990 2.99999997 6.00000000)
iedge= 13, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 2.51841551 3.36542758 6.00000000)
iedge= 13, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 2.51841551 3.36542758 6.00000000)
iedge= 13, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 2.40639108 3.72749806 6.00000000)
iedge= 13, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 2.40639108 3.72749806 6.00000000)
iedge= 13, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 2.28298829 4.08585021 6.00000000)
iedge= 13, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 4.44012664 6.00000000)
...too many errors to list
iedge= 15, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 5.70789420 5.63157980 12.00000000)
iedge= 15, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 5.61894990 5.99999997 12.00000000)
iedge= 15, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 5.61894990 5.99999997 12.00000000)
iedge= 15, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 5.51841551 6.36542758 12.00000000)
iedge= 15, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 5.51841551 6.36542758 12.00000000)
iedge= 15, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 5.40639108 6.72749806 12.00000000)
iedge= 15, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 5.40639108 6.72749806 12.00000000)
iedge= 15, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000093, err= 0.00442415 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 5.28298829 7.08585021 12.00000000)
iedge= 15, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 5.14833053 7.44012664 12.00000000)
...too many errors to list
iedge= 17, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 2.70789420 5.63157980 24.00000000)
iedge= 17, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 2.61894990 5.99999997 24.00000000)
iedge= 17, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 2.61894990 5.99999997 24.00000000)
iedge= 17, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 2.51841551 6.36542758 24.00000000)
iedge= 17, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 2.51841551 6.36542758 24.00000000)
iedge= 17, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 2.40639108 6.72749806 24.00000000)
iedge= 17, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 2.40639108 6.72749806 24.00000000)
iedge= 17, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 2.28298829 7.08585021 24.00000000)
iedge= 17, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 7.44012664 24.00000000)
...too many errors to list
iedge= 18, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317244, err= 0.02089660 (at 1.02703137 5.66633623 0.00000000)
iedge= 18, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 0.56744546 5.48476474 0.00000000)
iedge= 18, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 0.12435777 5.26599275 0.00000000)
iedge= 18, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at -0.29922254 5.01149766 0.00000000)
iedge= 18, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 4.72301019 0.00000000)
iedge= 18, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 20, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317244, err= 0.02089660 (at 1.02703137 5.66633623 6.00000000)
iedge= 20, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 0.56744546 5.48476474 6.00000000)
iedge= 20, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 0.12435777 5.26599275 6.00000000)
iedge= 20, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at -0.29922254 5.01149766 6.00000000)
iedge= 20, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 4.72301019 6.00000000)
iedge= 20, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at -0.70042392 4.72301019 6.00000000)
...too many errors to list
iedge= 22, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 4.02703137 8.66633623 12.00000000)
iedge= 22, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 3.56744546 8.48476474 12.00000000)
iedge= 22, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 3.12435777 8.26599275 12.00000000)
iedge= 22, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at 2.70077746 8.01149766 12.00000000)
iedge= 22, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at 2.29957608 7.72301019 12.00000000)
iedge= 22, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at 2.29957608 7.72301019 12.00000000)
...too many errors to list
iedge= 24, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317244, err= 0.02089660 (at 1.02703137 8.66633623 24.00000000)
iedge= 24, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 0.56744546 8.48476474 24.00000000)
iedge= 24, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 0.12435777 8.26599275 24.00000000)
iedge= 24, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at -0.29922254 8.01149766 24.00000000)
iedge= 24, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 7.72301019 24.00000000)
iedge= 24, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 25, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at -2.97964862 -0.49373460 0.00000000)
iedge= 25, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at -1.74341393 -3.67423263 0.00000000)
iedge= 25, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at -1.42497893 -4.05210403 0.00000000)
iedge= 25, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829394, err= -0.00037896 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at -1.07652787 -4.40248942 0.00000000)
iedge= 25, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 -4.72301019 0.00000000)
iedge= 25, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at -0.70042392 -4.72301019 0.00000000)
iedge= 25, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 -5.01149766 0.00000000)
...too many errors to list
iedge= 26, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at -2.97964862 -0.49373460 6.00000000)
iedge= 26, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at -1.74341393 -3.67423263 6.00000000)
iedge= 26, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at -1.42497893 -4.05210403 6.00000000)
iedge= 26, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829394, err= -0.00037896 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at -1.07652787 -4.40248942 6.00000000)
iedge= 26, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 -4.72301019 6.00000000)
iedge= 26, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at -0.70042392 -4.72301019 6.00000000)
iedge= 26, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 -5.01149766 6.00000000)
...too many errors to list
iedge= 27, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at 0.02035138 2.50626540 12.00000000)
iedge= 27, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at 1.25658607 -0.67423263 12.00000000)
iedge= 27, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at 1.57502107 -1.05210403 12.00000000)
iedge= 27, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829393, err= -0.00037896 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at 1.92347213 -1.40248942 12.00000000)
iedge= 27, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at 2.29957608 -1.72301019 12.00000000)
iedge= 27, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at 2.29957608 -1.72301019 12.00000000)
iedge= 27, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at 2.70077746 -2.01149766 12.00000000)
...too many errors to list
iedge= 28, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at -2.97964862 2.50626540 24.00000000)
iedge= 28, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at -1.74341393 -0.67423263 24.00000000)
iedge= 28, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at -1.42497893 -1.05210403 24.00000000)
iedge= 28, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829393, err= -0.00037896 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at -1.07652787 -1.40248942 24.00000000)
iedge= 28, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 -1.72301019 24.00000000)
iedge= 28, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at -0.70042392 -1.72301019 24.00000000)
iedge= 28, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 -2.01149766 24.00000000)
...too many errors to list
d(Edge)/d(R2) check complete with 272 total errors (errmax= 3.0533e-02)
d(Node)/d(R2) check complete with 0 total errors (errmax= 3.7469e-07)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX1" for ibody=21
d(Face)/d(DX1) check complete with 0 total errors (errmax= 3.1397e-09)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 1.3023e-09)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY1" for ibody=21
d(Face)/d(DY1) check complete with 0 total errors (errmax= 4.9994e-09)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 3.0839e-09)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ1" for ibody=21
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 2.9742e-09)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 6.6366e-09)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX2" for ibody=21
d(Face)/d(DX2) check complete with 0 total errors (errmax= 3.1397e-09)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.2752e-09)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY2" for ibody=21
d(Face)/d(DY2) check complete with 0 total errors (errmax= 4.9994e-09)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 3.0839e-09)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ2" for ibody=21
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 2.9742e-09)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 6.6366e-09)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX3" for ibody=21
d(Face)/d(DX3) check complete with 0 total errors (errmax= 2.9661e-09)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 1.0587e-09)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY3" for ibody=21
d(Face)/d(DY3) check complete with 0 total errors (errmax= 3.3605e-09)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 2.4864e-09)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ3" for ibody=21
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 2.8751e-09)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.6366e-09)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "S2" for ibody=21
d(Face)/d(S2) check complete with 0 total errors (errmax= 2.8589e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 4.6709e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.1182e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.589 sec
Sensitivity checks complete with 21204 total errors (max config err= 8.4451e-02) with 0 suppressions
real 0m9.056s
user 0m8.316s
sys 0m1.088s
++++ set +x
data/basic/designP4b -config passed (as expected)
--------------------------------------------------------------------------------------------------
( 180 / 180 )
data/basic/designP4c.csm;
++++ /jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64/ESP/LINUX64/bin/sensCSM -outLevel 0 -config ../../OpenCSM/trunk/data/basic/designP4c.csm
--> ocsmCheck() -> status=0 (success)
*********************************************************
Starting configuration sensitivity wrt "X1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X1" for ibody=21
iface= 1, ipnt= 154 (X): anal= 2.24130186, fd= 2.24852704, err= -0.00722518 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Y): anal= -1.14917269, fd= -1.15287722, err= 0.00370453 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Z): anal= 0.59855559, fd= 0.60048512, err= -0.00192954 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 155 (X): anal= 2.22747558, fd= 2.23465619, err= -0.00718061 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Y): anal= -1.14208360, fd= -1.14576528, err= 0.00368168 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Z): anal= 0.62845264, fd= 0.63047856, err= -0.00202591 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 156 (X): anal= 2.21491832, fd= 2.22205845, err= -0.00714013 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Y): anal= -1.13564517, fd= -1.13930610, err= 0.00366093 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Z): anal= 0.65410341, fd= 0.65621202, err= -0.00210860 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 157 (X): anal= 2.20376716, fd= 2.21087135, err= -0.00710418 (at 2.15269789 -2.41676300 22.41770833)
...too many errors to list
iface= 2, ipnt= 574 (X): anal= 2.61661864, fd= 2.61650402, err= 0.00011463 (at 2.72229244 6.00404678 23.60856445)
iface= 2, ipnt= 575 (X): anal= 2.57803123, fd= 2.57791829, err= 0.00011294 (at 2.83660880 6.01564371 23.21415669)
iface= 2, ipnt= 576 (X): anal= 2.54227701, fd= 2.54216564, err= 0.00011137 (at 2.96071398 6.03397543 22.81709766)
iface= 2, ipnt= 577 (X): anal= 2.51013139, fd= 2.51002143, err= 0.00010996 (at 3.09342298 6.05822667 22.41770833)
iface= 2, ipnt= 578 (X): anal= 2.48213009, fd= 2.48202136, err= 0.00010874 (at 3.23355079 6.08758212 22.01630965)
iface= 2, ipnt= 579 (X): anal= 2.45863432, fd= 2.45852662, err= 0.00010771 (at 3.37991239 6.12122649 21.61322257)
iface= 2, ipnt= 580 (X): anal= 2.43988110, fd= 2.43977422, err= 0.00010688 (at 3.53132279 6.15834448 21.20876805)
iface= 2, ipnt= 581 (X): anal= 2.42602086, fd= 2.42591458, err= 0.00010628 (at 3.68659696 6.19812078 20.80326703)
iface= 2, ipnt= 582 (X): anal= 2.41714449, fd= 2.41703860, err= 0.00010589 (at 3.84454992 6.23974012 20.39704049)
iface= 2, ipnt= 583 (X): anal= 2.41330170, fd= 2.41319598, err= 0.00010572 (at 4.00399664 6.28238717 19.99040936)
...too many errors to list
iface= 3, ipnt= 154 (X): anal= 0.02558713, fd= -0.00000838, err= 0.02559551 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Y): anal= -0.07348859, fd= 0.00002408, err= -0.07351267 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Z): anal= 0.00561074, fd= -0.00000184, err= 0.00561258 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 155 (X): anal= 0.02561792, fd= -0.00000839, err= 0.02562631 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Y): anal= -0.07357701, fd= 0.00002411, err= -0.07360112 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Z): anal= 0.00492175, fd= -0.00000161, err= 0.00492336 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 156 (X): anal= 0.02564155, fd= -0.00000840, err= 0.02564995 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Y): anal= -0.07364488, fd= 0.00002413, err= -0.07366901 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Z): anal= 0.00431760, fd= -0.00000141, err= 0.00431902 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 157 (X): anal= 0.02565943, fd= -0.00000841, err= 0.02566784 (at 1.50150445 8.72456294 22.41770833)
...too many errors to list
iface= 4, ipnt= 514 (X): anal= 0.00021143, fd= 0.00001425, err= 0.00019718 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 514 (Y): anal= 0.00013752, fd= 0.00000927, err= 0.00012825 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 515 (X): anal= 0.00020837, fd= 0.00001405, err= 0.00019432 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 515 (Y): anal= 0.00013553, fd= 0.00000914, err= 0.00012639 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 516 (X): anal= 0.00020548, fd= 0.00001385, err= 0.00019163 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 516 (Y): anal= 0.00013365, fd= 0.00000901, err= 0.00012464 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 517 (X): anal= 0.00020286, fd= 0.00001367, err= 0.00018919 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 517 (Y): anal= 0.00013194, fd= 0.00000889, err= 0.00012305 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 518 (X): anal= 0.00020055, fd= 0.00001351, err= 0.00018704 (at -1.41507671 -0.18385926 22.01630965)
iface= 4, ipnt= 518 (Y): anal= 0.00013044, fd= 0.00000879, err= 0.00012165 (at -1.41507671 -0.18385926 22.01630965)
...too many errors to list
d(Face)/d(X1) check complete with 5060 total errors (errmax= 7.3895e-02)
iedge= 2, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 2.36787571, fd= 2.37550892, err= -0.00763321 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 1 (Y): anal= -1.21407033, fd= -1.21798407, err= 0.00391374 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 2 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 2 (Y): anal= -1.16314330, fd= -1.16028307, err= -0.00286023 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 3 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 3 (Y): anal= -1.09760387, fd= -1.09795606, err= 0.00035219 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 4 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 4 (Y): anal= -1.03059393, fd= -1.03125179, err= 0.00065786 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 5 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 -1.08585021 24.00000000)
iedge= 4, ipnt= 5 (Y): anal= -0.96082905, fd= -0.96042854, err= -0.00040051 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 5, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 2.99999997 0.00000000)
iedge= 5, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 2.51841551 3.36542758 0.00000000)
iedge= 5, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053747, err= -0.00021280 (at 2.40639108 3.72749806 0.00000000)
iedge= 5, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 7, ipnt= 8 (X): anal= 2.81262314, fd= 2.81249993, err= 0.00012321 (at 2.61894990 5.99999997 24.00000000)
iedge= 7, ipnt= 9 (X): anal= 2.76388263, fd= 2.76403857, err= -0.00015594 (at 2.51841551 6.36542758 24.00000000)
iedge= 7, ipnt= 10 (X): anal= 2.71032467, fd= 2.71053747, err= -0.00021280 (at 2.40639108 6.72749806 24.00000000)
iedge= 7, ipnt= 11 (X): anal= 2.65331103, fd= 2.65220502, err= 0.00110600 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 11 (Y): anal= 0.96082905, fd= 0.96042854, err= 0.00040051 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 12 (X): anal= 2.58762360, fd= 2.58927536, err= -0.00165177 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 12 (Y): anal= 1.03059393, fd= 1.03125179, err= -0.00065786 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 13 (X): anal= 2.52119479, fd= 2.52200377, err= -0.00080899 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 13 (Y): anal= 1.09760387, fd= 1.09795606, err= -0.00035219 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 14 (X): anal= 2.45669465, fd= 2.45065351, err= 0.00604114 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 8, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389484 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000808, err= 0.00382025 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001351, err= 0.00879869 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 4.72301019 0.00000000)
iedge= 8, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001011, err= 0.00825873 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 0.02572015, fd= -0.00000843, err= 0.02572858 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -0.07387064, fd= 0.00002420, err= -0.07389485 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 2 (X): anal= -0.02464299, fd= 0.00000990, err= -0.02465289 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= 0.05556213, fd= -0.00002231, err= 0.05558445 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 0.00382832, fd= 0.00000808, err= 0.00382025 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -0.00701046, fd= -0.00001479, err= -0.00699567 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 0.00878518, fd= -0.00001351, err= 0.00879869 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -0.01334502, fd= 0.00002053, err= -0.01336555 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 5 (X): anal= -0.00646275, fd= 0.00000793, err= -0.00647068 (at -0.70042392 7.72301019 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= 0.00824861, fd= -0.00001012, err= 0.00825873 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 11, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 -4.72301019 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 12, ipnt= 7 (X): anal= 0.00022398, fd= 0.00001510, err= 0.00020888 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 7 (Y): anal= 0.00014568, fd= 0.00000982, err= 0.00013586 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 8 (X): anal= -0.00086197, fd= 0.00000363, err= -0.00086561 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 8 (Y): anal= -0.00066768, fd= 0.00000281, err= -0.00067050 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 9 (X): anal= 0.00104067, fd= -0.00001405, err= 0.00105471 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 9 (Y): anal= 0.00095300, fd= -0.00001286, err= 0.00096586 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 10 (X): anal= 0.00134283, fd= 0.00001432, err= 0.00132851 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 10 (Y): anal= 0.00145017, fd= 0.00001547, err= 0.00143471 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 11 (X): anal= -0.00646275, fd= 0.00000792, err= -0.00647068 (at -0.70042392 -1.72301019 24.00000000)
iedge= 12, ipnt= 11 (Y): anal= -0.00824861, fd= 0.00001011, err= -0.00825873 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(X1) check complete with 124 total errors (errmax= 7.3895e-02)
d(Node)/d(X1) check complete with 0 total errors (errmax= 5.6713e-07)
*********************************************************
Starting configuration sensitivity wrt "R1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R1" for ibody=21
iface= 1, ipnt= 154 (X): anal= 2.53405171, fd= 2.52685493, err= 0.00719677 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Y): anal= -1.29927301, fd= -1.29558304, err= -0.00368997 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Z): anal= 0.67673651, fd= 0.67481456, err= 0.00192195 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 155 (X): anal= 2.51841949, fd= 2.51126711, err= 0.00715238 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Y): anal= -1.29125797, fd= -1.28759076, err= -0.00366721 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Z): anal= 0.71053860, fd= 0.70852065, err= 0.00201795 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 156 (X): anal= 2.50422205, fd= 2.49710999, err= 0.00711206 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Y): anal= -1.28397858, fd= -1.28033205, err= -0.00364653 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Z): anal= 0.73953977, fd= 0.73743946, err= 0.00210031 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 157 (X): anal= 2.49161438, fd= 2.48453813, err= 0.00707625 (at 2.15269789 -2.41676300 22.41770833)
...too many errors to list
iface= 2, ipnt= 574 (X): anal= 2.70219933, fd= 2.70231383, err= -0.00011450 (at 2.72229244 6.00404678 23.60856445)
iface= 2, ipnt= 575 (X): anal= 2.66234985, fd= 2.66246266, err= -0.00011281 (at 2.83660880 6.01564371 23.21415669)
iface= 2, ipnt= 576 (X): anal= 2.62542624, fd= 2.62553748, err= -0.00011124 (at 2.96071398 6.03397543 22.81709766)
iface= 2, ipnt= 577 (X): anal= 2.59222924, fd= 2.59233908, err= -0.00010984 (at 3.09342298 6.05822667 22.41770833)
iface= 2, ipnt= 578 (X): anal= 2.56331212, fd= 2.56342073, err= -0.00010861 (at 3.23355079 6.08758212 22.01630965)
iface= 2, ipnt= 579 (X): anal= 2.53904788, fd= 2.53915547, err= -0.00010758 (at 3.37991239 6.12122649 21.61322257)
iface= 2, ipnt= 580 (X): anal= 2.51968131, fd= 2.51978807, err= -0.00010676 (at 3.53132279 6.15834448 21.20876805)
iface= 2, ipnt= 581 (X): anal= 2.50536774, fd= 2.50547390, err= -0.00010616 (at 3.68659696 6.19812078 20.80326703)
iface= 2, ipnt= 582 (X): anal= 2.49620106, fd= 2.49630682, err= -0.00010577 (at 3.84454992 6.23974012 20.39704049)
iface= 2, ipnt= 583 (X): anal= 2.49223258, fd= 2.49233818, err= -0.00010560 (at 4.00399664 6.28238717 19.99040936)
...too many errors to list
iface= 3, ipnt= 154 (X): anal= 0.02924243, fd= -0.00000955, err= 0.02925198 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Y): anal= -0.08398696, fd= 0.00002744, err= -0.08401439 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Z): anal= 0.00641228, fd= -0.00000209, err= 0.00641437 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 155 (X): anal= 0.02927762, fd= -0.00000957, err= 0.02928718 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Y): anal= -0.08408801, fd= 0.00002747, err= -0.08411548 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Z): anal= 0.00562485, fd= -0.00000184, err= 0.00562669 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 156 (X): anal= 0.02930462, fd= -0.00000957, err= 0.02931420 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Y): anal= -0.08416558, fd= 0.00002750, err= -0.08419308 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Z): anal= 0.00493440, fd= -0.00000161, err= 0.00493602 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 157 (X): anal= 0.02932506, fd= -0.00000958, err= 0.02933464 (at 1.50150445 8.72456294 22.41770833)
...too many errors to list
iface= 4, ipnt= 514 (X): anal= 0.00024164, fd= 0.00001631, err= 0.00022533 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 514 (Y): anal= 0.00015716, fd= 0.00001060, err= 0.00014656 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 515 (X): anal= 0.00023814, fd= 0.00001607, err= 0.00022207 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 515 (Y): anal= 0.00015489, fd= 0.00001045, err= 0.00014444 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 516 (X): anal= 0.00023484, fd= 0.00001584, err= 0.00021900 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 516 (Y): anal= 0.00015274, fd= 0.00001031, err= 0.00014244 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 517 (X): anal= 0.00023184, fd= 0.00001564, err= 0.00021620 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 517 (Y): anal= 0.00015079, fd= 0.00001017, err= 0.00014062 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 518 (X): anal= 0.00022920, fd= 0.00001546, err= 0.00021374 (at -1.41507671 -0.18385926 22.01630965)
iface= 4, ipnt= 518 (Y): anal= 0.00014908, fd= 0.00001005, err= 0.00013902 (at -1.41507671 -0.18385926 22.01630965)
...too many errors to list
d(Face)/d(R1) check complete with 5077 total errors (errmax= 8.4451e-02)
iedge= 2, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063871, err= 0.00080786 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 2.67715812, fd= 2.66955492, err= 0.00760320 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 1 (Y): anal= -1.37264732, fd= -1.36874896, err= -0.00389835 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 2 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 2 (Y): anal= -1.28090556, fd= -1.28375961, err= 0.00285405 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 3 (X): anal= 2.75144657, fd= 2.75063871, err= 0.00080786 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 3 (Y): anal= -1.19784414, fd= -1.19749244, err= -0.00035170 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 4 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 4 (Y): anal= -1.11069078, fd= -1.11003362, err= -0.00065717 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 5 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 -1.08585021 24.00000000)
iedge= 4, ipnt= 5 (Y): anal= -1.02106176, fd= -1.02146191, err= 0.00040016 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 5, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 2.99999997 0.00000000)
iedge= 5, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 2.51841551 3.36542758 0.00000000)
iedge= 5, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 2.40639108 3.72749806 0.00000000)
iedge= 5, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 7, ipnt= 8 (X): anal= 2.90461447, fd= 2.90473754, err= -0.00012307 (at 2.61894990 5.99999997 24.00000000)
iedge= 7, ipnt= 9 (X): anal= 2.87975877, fd= 2.87960293, err= 0.00015585 (at 2.51841551 6.36542758 24.00000000)
iedge= 7, ipnt= 10 (X): anal= 2.85181136, fd= 2.85159870, err= 0.00021267 (at 2.40639108 6.72749806 24.00000000)
iedge= 7, ipnt= 11 (X): anal= 2.81964247, fd= 2.82074751, err= -0.00110503 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 11 (Y): anal= 1.02106176, fd= 1.02146191, err= -0.00040016 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 12 (X): anal= 2.78873142, fd= 2.78708141, err= 0.00165002 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 12 (Y): anal= 1.11069078, fd= 1.11003362, err= 0.00065717 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 13 (X): anal= 2.75144657, fd= 2.75063872, err= 0.00080786 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 13 (Y): anal= 1.19784414, fd= 1.19749244, err= 0.00035170 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 14 (X): anal= 2.70542231, fd= 2.71145040, err= -0.00602809 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 8, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799499 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002342, err= -0.01527487 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 4.72301019 0.00000000)
iedge= 8, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 0.02939446, fd= -0.00000960, err= 0.02940406 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -0.08442359, fd= 0.00002758, err= -0.08445117 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 2 (X): anal= -0.02816342, fd= 0.00001134, err= -0.02817476 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= 0.06349958, fd= -0.00002557, err= 0.06352515 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 0.00437523, fd= 0.00000926, err= 0.00436597 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -0.00801195, fd= -0.00001696, err= -0.00799499 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 0.01004020, fd= -0.00001541, err= 0.01005562 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -0.01525145, fd= 0.00002342, err= -0.01527487 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 5 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 7.72301019 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= 0.00942699, fd= -0.00001160, err= 0.00943858 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 11, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098929 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120536 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151827 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 -4.72301019 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 12, ipnt= 7 (X): anal= 0.00025598, fd= 0.00001727, err= 0.00023871 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 7 (Y): anal= 0.00016649, fd= 0.00001123, err= 0.00015526 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 8 (X): anal= -0.00098511, fd= 0.00000417, err= -0.00098928 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 8 (Y): anal= -0.00076307, fd= 0.00000323, err= -0.00076630 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 9 (X): anal= 0.00118933, fd= -0.00001603, err= 0.00120536 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 9 (Y): anal= 0.00108914, fd= -0.00001468, err= 0.00110382 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 10 (X): anal= 0.00153467, fd= 0.00001639, err= 0.00151827 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 10 (Y): anal= 0.00165734, fd= 0.00001770, err= 0.00163964 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 11 (X): anal= -0.00738600, fd= 0.00000909, err= -0.00739509 (at -0.70042392 -1.72301019 24.00000000)
iedge= 12, ipnt= 11 (Y): anal= -0.00942699, fd= 0.00001160, err= -0.00943858 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(R1) check complete with 124 total errors (errmax= 8.4451e-02)
d(Node)/d(R1) check complete with 0 total errors (errmax= 7.2807e-07)
*********************************************************
Starting configuration sensitivity wrt "X2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "X2" for ibody=21
iface= 1, ipnt= 154 (X): anal= 0.00722484, fd= -0.00000037, err= 0.00722522 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Y): anal= -0.00370436, fd= 0.00000019, err= -0.00370455 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Z): anal= 0.00192945, fd= -0.00000010, err= 0.00192955 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 155 (X): anal= 0.00718028, fd= -0.00000037, err= 0.00718065 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Y): anal= -0.00368151, fd= 0.00000019, err= -0.00368170 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Z): anal= 0.00202582, fd= -0.00000010, err= 0.00202592 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 156 (X): anal= 0.00713980, fd= -0.00000037, err= 0.00714017 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Y): anal= -0.00366076, fd= 0.00000019, err= -0.00366095 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Z): anal= 0.00210850, fd= -0.00000011, err= 0.00210861 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 157 (X): anal= 0.00710385, fd= -0.00000037, err= 0.00710422 (at 2.15269789 -2.41676300 22.41770833)
...too many errors to list
iface= 2, ipnt= 574 (X): anal= -0.00011456, fd= 0.00000006, err= -0.00011462 (at 2.72229244 6.00404678 23.60856445)
iface= 2, ipnt= 575 (X): anal= -0.00011287, fd= 0.00000006, err= -0.00011293 (at 2.83660880 6.01564371 23.21415669)
iface= 2, ipnt= 576 (X): anal= -0.00011130, fd= 0.00000006, err= -0.00011136 (at 2.96071398 6.03397543 22.81709766)
iface= 2, ipnt= 577 (X): anal= -0.00010990, fd= 0.00000006, err= -0.00010995 (at 3.09342298 6.05822667 22.41770833)
iface= 2, ipnt= 578 (X): anal= -0.00010867, fd= 0.00000006, err= -0.00010873 (at 3.23355079 6.08758212 22.01630965)
iface= 2, ipnt= 579 (X): anal= -0.00010764, fd= 0.00000006, err= -0.00010770 (at 3.37991239 6.12122649 21.61322257)
iface= 2, ipnt= 580 (X): anal= -0.00010682, fd= 0.00000005, err= -0.00010687 (at 3.53132279 6.15834448 21.20876805)
iface= 2, ipnt= 581 (X): anal= -0.00010621, fd= 0.00000005, err= -0.00010627 (at 3.68659696 6.19812078 20.80326703)
iface= 2, ipnt= 582 (X): anal= -0.00010582, fd= 0.00000005, err= -0.00010588 (at 3.84454992 6.23974012 20.39704049)
iface= 2, ipnt= 583 (X): anal= -0.00010566, fd= 0.00000005, err= -0.00010571 (at 4.00399664 6.28238717 19.99040936)
...too many errors to list
iface= 3, ipnt= 154 (X): anal= 0.29709773, fd= 0.32269360, err= -0.02559586 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Y): anal= -0.85329204, fd= -0.92680571, err= 0.07351367 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Z): anal= 0.06514756, fd= 0.07076022, err= -0.00561266 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 155 (X): anal= 0.29745521, fd= 0.32308187, err= -0.02562666 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Y): anal= -0.85431875, fd= -0.92792088, err= 0.07360213 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Z): anal= 0.05714748, fd= 0.06207090, err= -0.00492343 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 156 (X): anal= 0.29772960, fd= 0.32337990, err= -0.02565030 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Y): anal= -0.85510681, fd= -0.92877684, err= 0.07367003 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Z): anal= 0.05013263, fd= 0.05445170, err= -0.00431908 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 157 (X): anal= 0.29793723, fd= 0.32360542, err= -0.02566819 (at 1.50150445 8.72456294 22.41770833)
...too many errors to list
iface= 4, ipnt= 514 (X): anal= 1.98985774, fd= 1.99005510, err= -0.00019736 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 514 (Y): anal= 1.29421972, fd= 1.29434809, err= -0.00012837 (at -1.92633506 -0.26739460 23.60856445)
iface= 4, ipnt= 515 (X): anal= 1.96103544, fd= 1.96122995, err= -0.00019451 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 515 (Y): anal= 1.27547347, fd= 1.27559997, err= -0.00012651 (at -1.81201870 -0.25579768 23.21415669)
iface= 4, ipnt= 516 (X): anal= 1.93388236, fd= 1.93407418, err= -0.00019181 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 516 (Y): anal= 1.25781288, fd= 1.25793764, err= -0.00012476 (at -1.68791351 -0.23746595 22.81709766)
iface= 4, ipnt= 517 (X): anal= 1.90917950, fd= 1.90936886, err= -0.00018937 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 517 (Y): anal= 1.24174595, fd= 1.24186911, err= -0.00012316 (at -1.55520451 -0.21321471 22.41770833)
iface= 4, ipnt= 518 (X): anal= 1.88747704, fd= 1.88766425, err= -0.00018721 (at -1.41507671 -0.18385926 22.01630965)
iface= 4, ipnt= 518 (Y): anal= 1.22763049, fd= 1.22775226, err= -0.00012177 (at -1.41507671 -0.18385926 22.01630965)
...too many errors to list
d(Face)/d(X2) check complete with 5060 total errors (errmax= 7.3896e-02)
iedge= 2, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= 0.00763286, fd= -0.00000039, err= 0.00763325 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 1 (Y): anal= -0.00391356, fd= 0.00000020, err= -0.00391376 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 2 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604110 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 2 (Y): anal= 0.00286006, fd= -0.00000016, err= 0.00286021 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 3 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 3 (Y): anal= -0.00035231, fd= -0.00000010, err= -0.00035221 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 4 (X): anal= 0.00165141, fd= -0.00000039, err= 0.00165179 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 4 (Y): anal= -0.00065772, fd= 0.00000015, err= -0.00065787 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 5 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 -1.08585021 24.00000000)
iedge= 4, ipnt= 5 (Y): anal= 0.00040044, fd= -0.00000006, err= 0.00040050 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 5, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 2.99999997 0.00000000)
iedge= 5, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 2.51841551 3.36542758 0.00000000)
iedge= 5, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 2.40639108 3.72749806 0.00000000)
iedge= 5, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000006, err= -0.00040050 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000038, err= 0.00165179 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 2.14833053 4.44012664 0.00000000)
iedge= 5, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 2.00255196 4.78997392 0.00000000)
iedge= 5, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604111 (at 1.84579784 5.13504297 0.00000000)
...too many errors to list
iedge= 7, ipnt= 8 (X): anal= -0.00012314, fd= 0.00000006, err= -0.00012320 (at 2.61894990 5.99999997 24.00000000)
iedge= 7, ipnt= 9 (X): anal= 0.00015565, fd= -0.00000030, err= 0.00015596 (at 2.51841551 6.36542758 24.00000000)
iedge= 7, ipnt= 10 (X): anal= 0.00021313, fd= 0.00000031, err= 0.00021282 (at 2.40639108 6.72749806 24.00000000)
iedge= 7, ipnt= 11 (X): anal= -0.00110580, fd= 0.00000018, err= -0.00110598 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 11 (Y): anal= -0.00040044, fd= 0.00000006, err= -0.00040050 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 12 (X): anal= 0.00165141, fd= -0.00000038, err= 0.00165179 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 12 (Y): anal= 0.00065772, fd= -0.00000015, err= 0.00065787 (at 2.14833053 7.44012664 24.00000000)
iedge= 7, ipnt= 13 (X): anal= 0.00080925, fd= 0.00000023, err= 0.00080902 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 13 (Y): anal= 0.00035231, fd= 0.00000010, err= 0.00035221 (at 2.00255196 7.78997392 24.00000000)
iedge= 7, ipnt= 14 (X): anal= -0.00604078, fd= 0.00000033, err= -0.00604111 (at 1.84579784 8.13504297 24.00000000)
...too many errors to list
iedge= 8, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465251 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182904, err= -0.05558359 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 4.72301019 0.00000000)
iedge= 8, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= 0.29864230, fd= 0.32437123, err= -0.02572893 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= -0.85772817, fd= -0.93162403, err= 0.07389586 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 2 (X): anal= 0.51777236, fd= 0.49311986, err= 0.02465251 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= -1.16741263, fd= -1.11182905, err= -0.05558359 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 3 (X): anal= 0.68530013, fd= 0.68912077, err= -0.00382064 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= -1.25492747, fd= -1.26192385, err= 0.00699638 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 4 (X): anal= 0.89825066, fd= 0.90704973, err= -0.00879907 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= -1.36447700, fd= -1.37784312, err= 0.01336612 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 5 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 7.72301019 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= -1.46468163, fd= -1.45642336, err= -0.00825827 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 11, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at -2.02967759 -3.27144142 0.00000000)
iedge= 11, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086537 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 -4.72301019 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at -0.70042392 -4.72301019 0.00000000)
...too many errors to list
iedge= 12, ipnt= 7 (X): anal= 2.10795248, fd= 2.10816156, err= -0.00020908 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 7 (Y): anal= 1.37102951, fd= 1.37116549, err= -0.00013599 (at -2.02967759 -0.27144142 24.00000000)
iedge= 12, ipnt= 8 (X): anal= 1.87586197, fd= 1.87499661, err= 0.00086536 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 8 (Y): anal= 1.45303644, fd= 1.45236613, err= 0.00067031 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 9 (X): anal= 1.63062226, fd= 1.63167726, err= -0.00105500 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 9 (Y): anal= 1.49325745, fd= 1.49422358, err= -0.00096613 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 10 (X): anal= 1.38353269, fd= 1.38486153, err= -0.00132884 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 10 (Y): anal= 1.49412542, fd= 1.49556048, err= -0.00143506 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 11 (X): anal= 1.14757161, fd= 1.14110129, err= 0.00647032 (at -0.70042392 -1.72301019 24.00000000)
iedge= 12, ipnt= 11 (Y): anal= 1.46468163, fd= 1.45642336, err= 0.00825827 (at -0.70042392 -1.72301019 24.00000000)
...too many errors to list
d(Edge)/d(X2) check complete with 124 total errors (errmax= 7.3896e-02)
d(Node)/d(X2) check complete with 0 total errors (errmax= 5.5819e-07)
*********************************************************
Starting configuration sensitivity wrt "R2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "R2" for ibody=21
iface= 1, ipnt= 154 (X): anal= -0.02889938, fd= 0.00000112, err= -0.02890050 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Y): anal= 0.01481745, fd= -0.00000057, err= 0.01481802 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 154 (Z): anal= -0.00771778, fd= 0.00000030, err= -0.00771808 (at 1.78156735 -2.47094289 23.60856445)
iface= 1, ipnt= 155 (X): anal= -0.02872110, fd= 0.00000111, err= -0.02872222 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Y): anal= 0.01472604, fd= -0.00000057, err= 0.01472661 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 155 (Z): anal= -0.00810328, fd= 0.00000031, err= -0.00810359 (at 1.89588371 -2.45934597 23.21415669)
iface= 1, ipnt= 156 (X): anal= -0.02855919, fd= 0.00000111, err= -0.02856030 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Y): anal= 0.01464303, fd= -0.00000057, err= 0.01464359 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 156 (Z): anal= -0.00843402, fd= 0.00000033, err= -0.00843435 (at 2.01998890 -2.44101424 22.81709766)
iface= 1, ipnt= 157 (X): anal= -0.02841540, fd= 0.00000111, err= -0.02841651 (at 2.15269789 -2.41676300 22.41770833)
...too many errors to list
iface= 2, ipnt= 514 (X): anal= -0.00011501, fd= -0.00000111, err= -0.00011390 (at 2.81123673 5.63562662 23.60856445)
iface= 2, ipnt= 515 (X): anal= -0.00011333, fd= -0.00000110, err= -0.00011223 (at 2.92555309 5.64722354 23.21415669)
iface= 2, ipnt= 516 (X): anal= -0.00011178, fd= -0.00000108, err= -0.00011069 (at 3.04965827 5.66555527 22.81709766)
iface= 2, ipnt= 517 (X): anal= -0.00011038, fd= -0.00000107, err= -0.00010931 (at 3.18236727 5.68980651 22.41770833)
iface= 2, ipnt= 518 (X): anal= -0.00010916, fd= -0.00000107, err= -0.00010810 (at 3.32249508 5.71916196 22.01630965)
iface= 2, ipnt= 519 (X): anal= -0.00010814, fd= -0.00000106, err= -0.00010708 (at 3.46885668 5.75280633 21.61322257)
iface= 2, ipnt= 520 (X): anal= -0.00010733, fd= -0.00000106, err= -0.00010627 (at 3.62026708 5.78992431 21.20876805)
iface= 2, ipnt= 521 (X): anal= -0.00010673, fd= -0.00000105, err= -0.00010567 (at 3.77554125 5.82970062 20.80326703)
iface= 2, ipnt= 522 (X): anal= -0.00010634, fd= -0.00000105, err= -0.00010529 (at 3.93349421 5.87131995 20.39704049)
iface= 2, ipnt= 523 (X): anal= -0.00010617, fd= -0.00000106, err= -0.00010512 (at 4.09294093 5.91396701 19.99040936)
...too many errors to list
iface= 3, ipnt= 154 (X): anal= -0.98858527, fd= -0.98134716, err= -0.00723811 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Y): anal= 2.83930791, fd= 2.81851939, err= 0.02078852 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 154 (Z): anal= -0.21677688, fd= -0.21518970, err= -0.00158717 (at 1.13037390 8.67038304 23.60856445)
iface= 3, ipnt= 155 (X): anal= -0.98977478, fd= -0.98252796, err= -0.00724682 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Y): anal= 2.84272428, fd= 2.82191075, err= 0.02081353 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 155 (Z): anal= -0.19015680, fd= -0.18876453, err= -0.00139227 (at 1.24469027 8.68197997 23.21415669)
iface= 3, ipnt= 156 (X): anal= -0.99068778, fd= -0.98343428, err= -0.00725351 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Y): anal= 2.84534652, fd= 2.82451379, err= 0.02083273 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 156 (Z): anal= -0.16681506, fd= -0.16559370, err= -0.00122137 (at 1.36879545 8.70031170 22.81709766)
iface= 3, ipnt= 157 (X): anal= -0.99137867, fd= -0.98412011, err= -0.00725856 (at 1.50150445 8.72456294 22.41770833)
...too many errors to list
iface= 4, ipnt= 154 (X): anal= -2.77488976, fd= -2.77510257, err= 0.00021282 (at -2.87630608 2.51031222 23.60856445)
iface= 4, ipnt= 155 (X): anal= -2.73696819, fd= -2.73717810, err= 0.00020991 (at -2.76198972 2.52190914 23.21415669)
iface= 4, ipnt= 156 (X): anal= -2.70202711, fd= -2.70223434, err= 0.00020723 (at -2.63788454 2.54024087 22.81709766)
iface= 4, ipnt= 157 (X): anal= -2.67072683, fd= -2.67093165, err= 0.00020483 (at -2.50517554 2.56449211 22.41770833)
iface= 4, ipnt= 158 (X): anal= -2.64352603, fd= -2.64372877, err= 0.00020274 (at -2.36504773 2.59384756 22.01630965)
iface= 4, ipnt= 159 (X): anal= -2.62073618, fd= -2.62093717, err= 0.00020099 (at -2.21868613 2.62749193 21.61322257)
iface= 4, ipnt= 160 (X): anal= -2.60256335, fd= -2.60276295, err= 0.00019960 (at -2.06727573 2.66460991 21.20876805)
iface= 4, ipnt= 161 (X): anal= -2.58913960, fd= -2.58933816, err= 0.00019857 (at -1.91200155 2.70438622 20.80326703)
iface= 4, ipnt= 162 (X): anal= -2.58054547, fd= -2.58074339, err= 0.00019791 (at -1.75404860 2.74600555 20.39704049)
iface= 4, ipnt= 163 (X): anal= -2.57682544, fd= -2.57702307, err= 0.00019763 (at -1.59460188 2.78865261 19.99040936)
...too many errors to list
d(Face)/d(R2) check complete with 5545 total errors (errmax= 3.0533e-02)
iedge= 2, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -5.47498971 0.00000000)
iedge= 2, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000167, err= 0.02416477 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 1.84579784 -5.13504297 0.00000000)
iedge= 2, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 2.00255196 -4.78997392 0.00000000)
iedge= 2, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 2.14833053 -4.44012664 0.00000000)
iedge= 2, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 -4.08585021 0.00000000)
iedge= 2, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 2.28298829 -4.08585021 0.00000000)
...too many errors to list
iedge= 4, ipnt= 1 (X): anal= -0.03053142, fd= 0.00000118, err= -0.03053261 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 1 (Y): anal= 0.01565424, fd= -0.00000061, err= 0.01565485 (at 1.67822482 -2.47498971 24.00000000)
iedge= 4, ipnt= 2 (X): anal= 0.02416310, fd= -0.00000166, err= 0.02416477 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 2 (Y): anal= -0.01144023, fd= 0.00000079, err= -0.01144102 (at 1.84579784 -2.13504297 24.00000000)
iedge= 4, ipnt= 3 (X): anal= -0.00323698, fd= -0.00000121, err= -0.00323577 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 3 (Y): anal= 0.00140922, fd= 0.00000053, err= 0.00140869 (at 2.00255196 -1.78997392 24.00000000)
iedge= 4, ipnt= 4 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 4 (Y): anal= 0.00263088, fd= -0.00000051, err= 0.00263139 (at 2.14833053 -1.44012664 24.00000000)
iedge= 4, ipnt= 5 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 -1.08585021 24.00000000)
iedge= 4, ipnt= 5 (Y): anal= -0.00160175, fd= 0.00000034, err= -0.00160209 (at 2.28298829 -1.08585021 24.00000000)
...too many errors to list
iedge= 5, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 2.70789420 2.63157980 0.00000000)
iedge= 5, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 2.61894990 2.99999997 0.00000000)
iedge= 5, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 2.61894990 2.99999997 0.00000000)
iedge= 5, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 2.51841551 3.36542758 0.00000000)
iedge= 5, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 2.51841551 3.36542758 0.00000000)
iedge= 5, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 2.40639108 3.72749806 0.00000000)
iedge= 5, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 2.40639108 3.72749806 0.00000000)
iedge= 5, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 2.28298829 4.08585021 0.00000000)
iedge= 5, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 4.44012664 0.00000000)
...too many errors to list
iedge= 7, ipnt= 7 (X): anal= -0.00012372, fd= -0.00000120, err= -0.00012252 (at 2.70789420 5.63157980 24.00000000)
iedge= 7, ipnt= 8 (X): anal= 0.00049256, fd= -0.00000037, err= 0.00049293 (at 2.61894990 5.99999997 24.00000000)
iedge= 7, ipnt= 8 (Y): anal= 0.00012718, fd= -0.00000010, err= 0.00012727 (at 2.61894990 5.99999997 24.00000000)
iedge= 7, ipnt= 9 (X): anal= -0.00062261, fd= 0.00000107, err= -0.00062367 (at 2.51841551 6.36542758 24.00000000)
iedge= 7, ipnt= 9 (Y): anal= -0.00018191, fd= 0.00000031, err= -0.00018222 (at 2.51841551 6.36542758 24.00000000)
iedge= 7, ipnt= 10 (X): anal= -0.00085252, fd= -0.00000142, err= -0.00085110 (at 2.40639108 6.72749806 24.00000000)
iedge= 7, ipnt= 10 (Y): anal= -0.00027860, fd= -0.00000046, err= -0.00027813 (at 2.40639108 6.72749806 24.00000000)
iedge= 7, ipnt= 11 (X): anal= 0.00442321, fd= -0.00000094, err= 0.00442415 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 11 (Y): anal= 0.00160175, fd= -0.00000034, err= 0.00160209 (at 2.28298829 7.08585021 24.00000000)
iedge= 7, ipnt= 12 (X): anal= -0.00660563, fd= 0.00000128, err= -0.00660691 (at 2.14833053 7.44012664 24.00000000)
...too many errors to list
iedge= 8, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317243, err= 0.02089660 (at 1.02703137 5.66633623 0.00000000)
iedge= 8, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 0.56744546 5.48476474 0.00000000)
iedge= 8, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 0.12435777 5.26599275 0.00000000)
iedge= 8, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at -0.29922254 5.01149766 0.00000000)
iedge= 8, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022462, err= 0.00184476 (at -0.70042392 4.72301019 0.00000000)
iedge= 8, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at -0.70042392 4.72301019 0.00000000)
...too many errors to list
iedge= 10, ipnt= 1 (X): anal= -0.99372477, fd= -0.98644903, err= -0.00727574 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 1 (Y): anal= 2.85406903, fd= 2.83317244, err= 0.02089660 (at 1.02703137 8.66633623 24.00000000)
iedge= 10, ipnt= 2 (X): anal= -1.20929884, fd= -1.21630318, err= 0.00700434 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 2 (Y): anal= 2.72658575, fd= 2.74237832, err= -0.01579257 (at 0.56744546 8.48476474 24.00000000)
iedge= 10, ipnt= 3 (X): anal= -1.43893027, fd= -1.43784272, err= -0.00108755 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 3 (Y): anal= 2.63498142, fd= 2.63298989, err= 0.00199153 (at 0.12435777 8.26599275 24.00000000)
iedge= 10, ipnt= 4 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 4 (Y): anal= 2.50957358, fd= 2.50576510, err= 0.00380848 (at -0.29922254 8.01149766 24.00000000)
iedge= 10, ipnt= 5 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 7.72301019 24.00000000)
iedge= 10, ipnt= 5 (Y): anal= 2.35914518, fd= 2.36149971, err= -0.00235453 (at -0.70042392 7.72301019 24.00000000)
...too many errors to list
iedge= 11, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982865, err= 0.00022928 (at -2.97964862 -0.49373460 0.00000000)
iedge= 11, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at -1.74341393 -3.67423263 0.00000000)
iedge= 11, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at -1.42497893 -4.05210403 0.00000000)
iedge= 11, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829393, err= -0.00037896 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at -1.07652787 -4.40248942 0.00000000)
iedge= 11, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 -4.72301019 0.00000000)
iedge= 11, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at -0.70042392 -4.72301019 0.00000000)
iedge= 11, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 -5.01149766 0.00000000)
...too many errors to list
iedge= 12, ipnt= 1 (X): anal= -2.98959937, fd= -2.98982866, err= 0.00022928 (at -2.97964862 2.50626540 24.00000000)
iedge= 12, ipnt= 8 (X): anal= -2.37146128, fd= -2.37170796, err= 0.00024668 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 8 (Y): anal= -1.83692601, fd= -1.83711709, err= 0.00019108 (at -1.74341393 -0.67423263 24.00000000)
iedge= 12, ipnt= 9 (X): anal= -2.21275856, fd= -2.21245764, err= -0.00030092 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 9 (Y): anal= -2.02635417, fd= -2.02607860, err= -0.00027557 (at -1.42497893 -1.05210403 24.00000000)
iedge= 12, ipnt= 10 (X): anal= -2.03867289, fd= -2.03829393, err= -0.00037896 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 10 (Y): anal= -2.20163427, fd= -2.20122502, err= -0.00040925 (at -1.07652787 -1.40248942 24.00000000)
iedge= 12, ipnt= 11 (X): anal= -1.84837985, fd= -1.85022461, err= 0.00184476 (at -0.70042392 -1.72301019 24.00000000)
iedge= 12, ipnt= 11 (Y): anal= -2.35914518, fd= -2.36149971, err= 0.00235453 (at -0.70042392 -1.72301019 24.00000000)
iedge= 12, ipnt= 12 (X): anal= -1.65208072, fd= -1.64957355, err= -0.00250717 (at -0.29922254 -2.01149766 24.00000000)
...too many errors to list
d(Edge)/d(R2) check complete with 136 total errors (errmax= 3.0533e-02)
d(Node)/d(R2) check complete with 0 total errors (errmax= 3.7469e-07)
*********************************************************
Starting configuration sensitivity wrt "DX1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX1" for ibody=21
d(Face)/d(DX1) check complete with 0 total errors (errmax= 6.5420e-08)
d(Edge)/d(DX1) check complete with 0 total errors (errmax= 5.7496e-08)
d(Node)/d(DX1) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY1" for ibody=21
d(Face)/d(DY1) check complete with 0 total errors (errmax= 6.4322e-08)
d(Edge)/d(DY1) check complete with 0 total errors (errmax= 5.7805e-08)
d(Node)/d(DY1) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ1"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ1" for ibody=21
d(Face)/d(DZ1) check complete with 0 total errors (errmax= 2.8389e-07)
d(Edge)/d(DZ1) check complete with 0 total errors (errmax= 2.3824e-07)
d(Node)/d(DZ1) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX2" for ibody=21
d(Face)/d(DX2) check complete with 0 total errors (errmax= 1.9076e-07)
d(Edge)/d(DX2) check complete with 0 total errors (errmax= 1.9008e-07)
d(Node)/d(DX2) check complete with 0 total errors (errmax= 4.6884e-10)
*********************************************************
Starting configuration sensitivity wrt "DY2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY2" for ibody=21
d(Face)/d(DY2) check complete with 0 total errors (errmax= 1.6985e-07)
d(Edge)/d(DY2) check complete with 0 total errors (errmax= 1.7993e-07)
d(Node)/d(DY2) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ2" for ibody=21
d(Face)/d(DZ2) check complete with 0 total errors (errmax= 1.4268e-07)
d(Edge)/d(DZ2) check complete with 0 total errors (errmax= 1.1459e-07)
d(Node)/d(DZ2) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "DX3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DX3" for ibody=21
d(Face)/d(DX3) check complete with 0 total errors (errmax= 3.9457e-08)
d(Edge)/d(DX3) check complete with 0 total errors (errmax= 3.8437e-08)
d(Node)/d(DX3) check complete with 0 total errors (errmax= 4.1933e-10)
*********************************************************
Starting configuration sensitivity wrt "DY3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DY3" for ibody=21
d(Face)/d(DY3) check complete with 0 total errors (errmax= 4.0972e-08)
d(Edge)/d(DY3) check complete with 0 total errors (errmax= 3.6881e-08)
d(Node)/d(DY3) check complete with 0 total errors (errmax= 1.3075e-09)
*********************************************************
Starting configuration sensitivity wrt "DZ3"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "DZ3" for ibody=21
d(Face)/d(DZ3) check complete with 0 total errors (errmax= 7.9131e-08)
d(Edge)/d(DZ3) check complete with 0 total errors (errmax= 6.7576e-08)
d(Node)/d(DZ3) check complete with 0 total errors (errmax= 3.0839e-09)
*********************************************************
Starting configuration sensitivity wrt "S2"
*********************************************************
Propagating velocities throughout feature tree
Computing analytic sensitivities (if possible) for ibody=21
Computing finite difference sensitivities for ibody=21
Comparing configuration sensitivities wrt "S2" for ibody=21
d(Face)/d(S2) check complete with 0 total errors (errmax= 3.4015e-09)
d(Edge)/d(S2) check complete with 0 total errors (errmax= 4.6709e-09)
d(Node)/d(S2) check complete with 0 total errors (errmax= 1.1182e-09)
==> sensCSM completed successfully
Total CPU time in ocsmGetVel -> 1.047 sec
Sensitivity checks complete with 21250 total errors (max config err= 8.4451e-02) with 0 suppressions
real 0m8.432s
user 0m7.636s
sys 0m1.184s
++++ set +x
data/basic/designP4c -config passed (as expected)
--------------------------------------------------------------------------------------------------
================================ Found errors ================================
==================================================================================================
[Execution node] check if [reynolds] is in [[windows10x64, windows7x64]]
Run condition [Execution node ] preventing perform for step [Execute Windows batch command]
[GNU C Compiler (gcc)] Sleeping for 5 seconds due to JENKINS-32191...
[GNU C Compiler (gcc)] Parsing console log (workspace: '/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64')
[GNU C Compiler (gcc)] Successfully parsed console log
[GNU C Compiler (gcc)] -> found 0 issues (skipped 0 duplicates)
[GNU C Compiler (gcc)] Skipping post processing
[GNU C Compiler (gcc)] No filter has been set, publishing all 0 issues
[GNU C Compiler (gcc)] Repository miner is not configured, skipping mining
[Clang (LLVM based)] Sleeping for 5 seconds due to JENKINS-32191...
[Clang (LLVM based)] Parsing console log (workspace: '/jenkins/workspace/ESP_QuickTestOcsm/7.3/sensCSM/config/LINUX64')
[Clang (LLVM based)] Successfully parsed console log
[Clang (LLVM based)] -> found 0 issues (skipped 0 duplicates)
[Clang (LLVM based)] Skipping post processing
[Clang (LLVM based)] No filter has been set, publishing all 0 issues
[Clang (LLVM based)] Repository miner is not configured, skipping mining
[Static Analysis] Reference build recorder is not configured
[Static Analysis] Obtaining reference build from same job (7.3,LINUX64,reynolds)
[Static Analysis] Using reference build 'ESP_QuickTestOcsm/CASREV=7.3,ESP_ARCH=LINUX64,buildnode=reynolds #165' to compute new, fixed, and outstanding issues
[Static Analysis] Issues delta (vs. reference build): outstanding: 0, new: 0, fixed: 0
[Static Analysis] Evaluating quality gates
[Static Analysis] -> PASSED - Total (any severity): 0 - Quality QualityGate: 1
[Static Analysis] -> All quality gates have been passed
[Static Analysis] Health report is disabled - skipping
[Static Analysis] Created analysis result for 0 issues (found 0 new issues, fixed 0 issues)
[Static Analysis] Attaching ResultAction with ID 'analysis' to build 'ESP_QuickTestOcsm/CASREV=7.3,ESP_ARCH=LINUX64,buildnode=reynolds #166'.
[Checks API] No suitable checks publisher found.
[PostBuildScript] - [INFO] Executing post build scripts.
[PostBuildScript] - [INFO] build step #0 should only be executed on MATRIX
[WS-CLEANUP] Deleting project workspace...
[WS-CLEANUP] done
Finished: SUCCESS