Created
August 7, 2020 16:49
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(lsst-scipipe-1a1d771) bash-4.2$ ./bin/run_demo.sh | |
+ '[' '!' -f DATA_REPO/butler.yaml ']' | |
+ butler create DATA_REPO | |
Downloading https://hpiers.obspm.fr/iers/bul/bulc/Leap_Second.dat | |
|=========================================================================================================================================================================================================| 1.3k/1.3k (100.00%) 0s | |
+ butler register-instrument DATA_REPO lsst.obs.subaru.HyperSuprimeCam | |
+ '[' '!' -d DATA_REPO/HSC/calib ']' | |
+ butler import DATA_REPO /mnt/lsst/src/lsst/pipelines_check/export_dir --export-file /mnt/lsst/src/lsst/pipelines_check/export_dir/export.yaml --output-run shared/ci_hsc --skip-dimensions instrument,physical_filter,detector | |
++ find -L DATA_REPO/HSC/raw -type f | |
find: 'DATA_REPO/HSC/raw': No such file or directory | |
+ '[' -z '' ']' | |
+ butler ingest-raws DATA_REPO --dir export_dir/HSC/raw/all/raw/r/HSC-R/ | |
+ butler define-visits DATA_REPO -i HSC --collections HSC/raw/all | |
Downloading ftp://cddis.gsfc.nasa.gov/pub/products/iers/finals2000A.all | |
|=========================================================================================================================================================================================================| 3.3M/3.3M (100.00%) 3s | |
+ export OMP_NUM_THREADS=1 | |
+ OMP_NUM_THREADS=1 | |
+ pipetask run -d 'exposure=903342 AND detector=10' -j 1 -b DATA_REPO/butler.yaml -i HSC/calib,HSC/raw/all,ref_cats,shared/ci_hsc --register-dataset-types -p /opt/lsst/software/stack/stack/miniconda3-py37_4.8.2-1a1d771/Linux64/pipe_tasks/20.0.0-14-g7cb2d310/pipelines/ProcessCcd.yaml --instrument lsst.obs.subaru.HyperSuprimeCam --output-run demo_collection | |
ctrl.mpexec.cmdLineFwk INFO: QuantumGraph contains 3 quanta for 3 tasks | |
afw.image.MaskedImageFitsReader WARN: Mask unreadable (FitsReader not initialized; desired HDU is probably missing.); using default | |
Caught signal 11, backtrace follows: | |
/opt/lsst/software/stack/stack/miniconda3-py37_4.8.2-1a1d771/Linux64/utils/20.0.0+3/lib/libutils.so(+0x17364) [0x7f2e67b1b364] | |
/lib64/libc.so.6(+0x363b0) [0x7f2e6a22a3b0] | |
/opt/lsst/software/stack/stack/miniconda3-py37_4.8.2-1a1d771/Linux64/afw/20.0.0-4-gde602ef96+5/lib/libafw.so(lsst::afw::image::MaskedImage<float, int, float> lsst::afw::image::MaskedImageFitsReader::read<float, int, float>(lsst::geom::Box2I const&, lsst::afw::image::ImageOrigin, bool, bool, bool)+0x843) [0x7f2e5e0bbf33] | |
/opt/lsst/software/stack/stack/miniconda3-py37_4.8.2-1a1d771/Linux64/afw/20.0.0-4-gde602ef96+5/lib/libafw.so(lsst::afw::image::MaskedImage<float, int, float> lsst::afw::image::ExposureFitsReader::readMaskedImage<float, int, float>(lsst::geom::Box2I const&, lsst::afw::image::ImageOrigin, bool, bool)+0x1a) [0x7f2e5e0282aa] | |
/opt/lsst/software/stack/stack/miniconda3-py37_4.8.2-1a1d771/Linux64/afw/20.0.0-4-gde602ef96+5/lib/libafw.so(lsst::afw::image::Exposure<float, int, float> lsst::afw::image::ExposureFitsReader::read<float, int, float>(lsst::geom::Box2I const&, lsst::afw::image::ImageOrigin, bool, bool)+0x28) [0x7f2e5e02aff8] | |
/opt/lsst/software/stack/stack/miniconda3-py37_4.8.2-1a1d771/Linux64/afw/20.0.0-4-gde602ef96+5/lib/libafw.so(lsst::afw::image::Exposure<float, int, float>::Exposure(std::__cxx11::basic_string<char, std::char_traits<char>, std::allocator<char> > const&, lsst::geom::Box2I const&, lsst::afw::image::ImageOrigin, bool, bool)+0x2fb) [0x7f2e5e0231bb] | |
/opt/lsst/software/stack/stack/miniconda3-py37_4.8.2-1a1d771/Linux64/afw/20.0.0-4-gde602ef96+5/python/lsst/afw/image/exposure/exposure.so(+0x5debb) [0x7f2e5a8fbebb] | |
/opt/lsst/software/stack/stack/miniconda3-py37_4.8.2-1a1d771/Linux64/afw/20.0.0-4-gde602ef96+5/python/lsst/afw/image/exposure/exposure.so(+0x49212) [0x7f2e5a8e7212] | |
python((null)+0x24d) [0x563d23bc061d] | |
python(_PyMethodDef_RawFastCallDict+0x24d) [0x563d23bc061d] | |
python((null)+0x21) [0x563d23bc07a1] | |
python(_PyCFunction_FastCallDict+0x21) [0x563d23bc07a1] | |
python((null)+0x63) [0x563d23bbee03] | |
python(_PyObject_Call_Prepend+0x63) [0x563d23bbee03] | |
python(PyObject_Call+0x6e) [0x563d23bb175e] | |
python(+0x9e52a) [0x563d23b2852a] | |
python(+0x16bfa7) [0x563d23bf5fa7] | |
python(PyObject_Call+0x6e) [0x563d23bb175e] | |
python((null)+0x1f6a) [0x563d23c58d6a] | |
python(_PyEval_EvalFrameDefault+0x1f6a) [0x563d23c58d6a] | |
python((null)+0x2f9) [0x563d23b9f8f9] | |
python(_PyEval_EvalCodeWithName+0x2f9) [0x563d23b9f8f9] | |
python((null)+0x325) [0x563d23bee985] | |
python(_PyFunction_FastCallKeywords+0x325) [0x563d23bee985] | |
python((null)+0x6a0) [0x563d23c574a0] | |
python(_PyEval_EvalFrameDefault+0x6a0) [0x563d23c574a0] | |
python((null)+0x2f9) [0x563d23b9f8f9] | |
python(_PyEval_EvalCodeWithName+0x2f9) [0x563d23b9f8f9] | |
python((null)+0x387) [0x563d23bee9e7] | |
python(_PyFunction_FastCallKeywords+0x387) [0x563d23bee9e7] | |
python((null)+0x14e7) [0x563d23c582e7] | |
python(_PyEval_EvalFrameDefault+0x14e7) [0x563d23c582e7] | |
python((null)+0x2f9) [0x563d23b9f8f9] | |
python(_PyEval_EvalCodeWithName+0x2f9) [0x563d23b9f8f9] | |
python((null)+0x387) [0x563d23bee9e7] | |
python(_PyFunction_FastCallKeywords+0x387) [0x563d23bee9e7] | |
python((null)+0x14e7) [0x563d23c582e7] | |
python(_PyEval_EvalFrameDefault+0x14e7) [0x563d23c582e7] | |
python((null)+0xab8) [0x563d23ba00b8] | |
python(_PyEval_EvalCodeWithName+0xab8) [0x563d23ba00b8] | |
python((null)+0x387) [0x563d23bee9e7] | |
python(_PyFunction_FastCallKeywords+0x387) [0x563d23bee9e7] | |
python((null)+0x14e7) [0x563d23c582e7] | |
python(_PyEval_EvalFrameDefault+0x14e7) [0x563d23c582e7] | |
python((null)+0xab8) [0x563d23ba00b8] | |
python(_PyEval_EvalCodeWithName+0xab8) [0x563d23ba00b8] | |
python((null)+0x387) [0x563d23bee9e7] | |
python(_PyFunction_FastCallKeywords+0x387) [0x563d23bee9e7] | |
python((null)+0x14e7) [0x563d23c582e7] | |
python(_PyEval_EvalFrameDefault+0x14e7) [0x563d23c582e7] | |
python((null)+0xab8) [0x563d23ba00b8] | |
python(_PyEval_EvalCodeWithName+0xab8) [0x563d23ba00b8] | |
python((null)+0x387) [0x563d23bee9e7] | |
python(_PyFunction_FastCallKeywords+0x387) [0x563d23bee9e7] | |
python((null)+0x6a0) [0x563d23c574a0] | |
python(_PyEval_EvalFrameDefault+0x6a0) [0x563d23c574a0] | |
python((null)+0x5da) [0x563d23b9fbda] | |
python(_PyEval_EvalCodeWithName+0x5da) [0x563d23b9fbda] | |
python((null)+0x387) [0x563d23bee9e7] | |
python(_PyFunction_FastCallKeywords+0x387) [0x563d23bee9e7] | |
python((null)+0x4cb9) [0x563d23c5bab9] | |
python(_PyEval_EvalFrameDefault+0x4cb9) [0x563d23c5bab9] | |
python((null)+0xab8) [0x563d23ba00b8] | |
python(_PyEval_EvalCodeWithName+0xab8) [0x563d23ba00b8] | |
python((null)+0x387) [0x563d23bee9e7] | |
python(_PyFunction_FastCallKeywords+0x387) [0x563d23bee9e7] | |
python((null)+0x6a0) [0x563d23c574a0] | |
python(_PyEval_EvalFrameDefault+0x6a0) [0x563d23c574a0] | |
python((null)+0xfb) [0x563d23bee75b] | |
python(_PyFunction_FastCallKeywords+0xfb) [0x563d23bee75b] | |
python((null)+0x6a0) [0x563d23c574a0] | |
python(_PyEval_EvalFrameDefault+0x6a0) [0x563d23c574a0] | |
python((null)+0xfb) [0x563d23bee75b] | |
python(_PyFunction_FastCallKeywords+0xfb) [0x563d23bee75b] | |
python((null)+0x6a0) [0x563d23c574a0] | |
python(_PyEval_EvalFrameDefault+0x6a0) [0x563d23c574a0] | |
python((null)+0xfb) [0x563d23bee75b] | |
python(_PyFunction_FastCallKeywords+0xfb) [0x563d23bee75b] | |
python((null)+0x6a0) [0x563d23c574a0] | |
python(_PyEval_EvalFrameDefault+0x6a0) [0x563d23c574a0] | |
python((null)+0xab8) [0x563d23ba00b8] | |
python(_PyEval_EvalCodeWithName+0xab8) [0x563d23ba00b8] | |
python((null)+0x387) [0x563d23bee9e7] | |
python(_PyFunction_FastCallKeywords+0x387) [0x563d23bee9e7] | |
python((null)+0x14e7) [0x563d23c582e7] | |
python(_PyEval_EvalFrameDefault+0x14e7) [0x563d23c582e7] | |
python((null)+0xfb) [0x563d23bee75b] | |
python(_PyFunction_FastCallKeywords+0xfb) [0x563d23bee75b] | |
python((null)+0x6a0) [0x563d23c574a0] | |
python(_PyEval_EvalFrameDefault+0x6a0) [0x563d23c574a0] | |
python((null)+0xfb) [0x563d23bee75b] | |
python(_PyFunction_FastCallKeywords+0xfb) [0x563d23bee75b] | |
python((null)+0x6a0) [0x563d23c574a0] | |
python(_PyEval_EvalFrameDefault+0x6a0) [0x563d23c574a0] | |
python((null)+0x2f9) [0x563d23b9f8f9] | |
python(_PyEval_EvalCodeWithName+0x2f9) [0x563d23b9f8f9] | |
python((null)+0x325) [0x563d23bee985] | |
python(_PyFunction_FastCallKeywords+0x325) [0x563d23bee985] | |
python((null)+0x6a0) [0x563d23c574a0] | |
python(_PyEval_EvalFrameDefault+0x6a0) [0x563d23c574a0] | |
python((null)+0x2f9) [0x563d23b9f8f9] | |
python(_PyEval_EvalCodeWithName+0x2f9) [0x563d23b9f8f9] | |
python((null)+0x325) [0x563d23bee985] | |
python(_PyFunction_FastCallKeywords+0x325) [0x563d23bee985] | |
python((null)+0x6a0) [0x563d23c574a0] | |
python(_PyEval_EvalFrameDefault+0x6a0) [0x563d23c574a0] | |
python((null)+0x2f9) [0x563d23b9f8f9] | |
python(_PyEval_EvalCodeWithName+0x2f9) [0x563d23b9f8f9] | |
python(PyEval_EvalCodeEx+0x44) [0x563d23ba0824] | |
python(PyEval_EvalCode+0x1c) [0x563d23ba084c] | |
python(+0x22c684) [0x563d23cb6684] | |
python(PyRun_FileExFlags+0xa1) [0x563d23cc0ab1] | |
python(PyRun_SimpleFileExFlags+0x1c3) [0x563d23cc0ca3] | |
python(+0x237d95) [0x563d23cc1d95] | |
python((null)+0x3c) [0x563d23cc1ebc] | |
python(_Py_UnixMain+0x3c) [0x563d23cc1ebc] | |
/lib64/libc.so.6((null)+0xf5) [0x7f2e6a216505] | |
/lib64/libc.so.6(__libc_start_main+0xf5) [0x7f2e6a216505] | |
python(+0x1dcbd0) [0x563d23c66bd0] | |
./bin/run_demo.sh: line 40: 470 Segmentation fault pipetask run -d "exposure=903342 AND detector=10" -j 1 -b DATA_REPO/butler.yaml -i HSC/calib,HSC/raw/all,ref_cats,shared/ci_hsc --register-dataset-types -p "${PIPE_TASKS_DIR}/pipelines/ProcessCcd.yaml" --instrument lsst.obs.subaru.HyperSuprimeCam --output-run demo_collection |
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