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After installing libflang 5 in a conda environment, a kernel crash occurs when trying to solve a linear system with a singular matrix.
Flang 5 is pinned as the default Fortran compiler across conda-forge. conda_build_config.yaml
I narrowed the issue down to the following:
libflang 5.0.0 depends on openmp 5.0.0
openmp 5.0.0 overwrites "libiomp5md.dll" that was installed by numpy. The two dlls are very different in size (2mb for the numpy one, 600kb for the openmp one)
Openmp places its "libiomp5md.dll" in Library\bin.
The version from numpy is either in Library\bin (channel main) or directly in bin (conda-forge).
Actual Behavior
Using numpy.linalg.solve on singular matrix with dimension over 149 crashes the Kernel.
Expected Behavior
Expected a "LinAlgError: Singular matrix" as it is shown with matrices up to the dimension of 149.
Steps to Reproduce
Create a new conda environment with python 3.11, numpy (and ipython for convenience)
Solution to issue cannot be found in the documentation.
Issue
The original issue was filed here: python-control/Slycot#230
The issue was also filed with the numpy feedstock: conda-forge/numpy-feedstock#308
After installing libflang 5 in a conda environment, a kernel crash occurs when trying to solve a linear system with a singular matrix.
Flang 5 is pinned as the default Fortran compiler across conda-forge. conda_build_config.yaml
I narrowed the issue down to the following:
Openmp places its "libiomp5md.dll" in Library\bin.
The version from numpy is either in Library\bin (channel main) or directly in bin (conda-forge).
Actual Behavior
Using numpy.linalg.solve on singular matrix with dimension over 149 crashes the Kernel.
Expected Behavior
Expected a "LinAlgError: Singular matrix" as it is shown with matrices up to the dimension of 149.
Steps to Reproduce
mamba create -n slycot_crash python=3.11 numpy ipython -c conda-forge
mamba activate slycot_crash
ipython
exit
mamba install openmp=5 -c conda-forge
Installed packages
# Name Version Build Channel asttokens 2.4.1 pyhd8ed1ab_0 conda-forge bzip2 1.0.8 hcfcfb64_5 conda-forge ca-certificates 2023.11.17 h56e8100_0 conda-forge colorama 0.4.6 pyhd8ed1ab_0 conda-forge decorator 5.1.1 pyhd8ed1ab_0 conda-forge exceptiongroup 1.2.0 pyhd8ed1ab_2 conda-forge executing 2.0.1 pyhd8ed1ab_0 conda-forge intel-openmp 2024.0.0 h57928b3_49841 conda-forge ipython 8.20.0 pyh7428d3b_0 conda-forge jedi 0.19.1 pyhd8ed1ab_0 conda-forge libblas 3.9.0 21_win64_mkl conda-forge libcblas 3.9.0 21_win64_mkl conda-forge libexpat 2.5.0 h63175ca_1 conda-forge libffi 3.4.2 h8ffe710_5 conda-forge libhwloc 2.9.3 default_haede6df_1009 conda-forge libiconv 1.17 hcfcfb64_2 conda-forge liblapack 3.9.0 21_win64_mkl conda-forge libsqlite 3.44.2 hcfcfb64_0 conda-forge libxml2 2.12.4 hc3477c8_1 conda-forge libzlib 1.2.13 hcfcfb64_5 conda-forge llvm-meta 5.0.0 0 conda-forge matplotlib-inline 0.1.6 pyhd8ed1ab_0 conda-forge mkl 2024.0.0 h66d3029_49657 conda-forge numpy 1.26.3 py311h0b4df5a_0 conda-forge openmp 5.0.0 vc14_1 conda-forge openssl 3.2.0 hcfcfb64_1 conda-forge parso 0.8.3 pyhd8ed1ab_0 conda-forge pickleshare 0.7.5 py_1003 conda-forge pip 23.3.2 pyhd8ed1ab_0 conda-forge prompt-toolkit 3.0.42 pyha770c72_0 conda-forge pthreads-win32 2.9.1 hfa6e2cd_3 conda-forge pure_eval 0.2.2 pyhd8ed1ab_0 conda-forge pygments 2.17.2 pyhd8ed1ab_0 conda-forge python 3.11.7 h2628c8c_1_cpython conda-forge python_abi 3.11 4_cp311 conda-forge setuptools 69.0.3 pyhd8ed1ab_0 conda-forge six 1.16.0 pyh6c4a22f_0 conda-forge stack_data 0.6.2 pyhd8ed1ab_0 conda-forge tbb 2021.11.0 h91493d7_1 conda-forge tk 8.6.13 h5226925_1 conda-forge traitlets 5.14.1 pyhd8ed1ab_0 conda-forge typing_extensions 4.9.0 pyha770c72_0 conda-forge tzdata 2023d h0c530f3_0 conda-forge ucrt 10.0.22621.0 h57928b3_0 conda-forge vc 14.3 hcf57466_18 conda-forge vc14_runtime 14.38.33130 h82b7239_18 conda-forge vs2015_runtime 14.38.33130 hcb4865c_18 conda-forge wcwidth 0.2.13 pyhd8ed1ab_0 conda-forge wheel 0.42.0 pyhd8ed1ab_0 conda-forge xz 5.2.6 h8d14728_0 conda-forge
Environment info
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