SimplicialLDLT Error on Windows #449
Description
SimplicialLDLT gives an error on windows (installed from conda-forge)
I created a fresh environment and installed eigenpy.
micromamba install eigenpy -n eigenpy -c conda-forge
Name Version Build Channel
---------------------------------------------------------------------------
bzip2 1.0.8 hcfcfb64_5 conda-forge
ca-certificates 2024.2.2 h56e8100_0 conda-forge
eigen 3.4.0 h91493d7_0 conda-forge
eigenpy 3.4.0 py312h0bfd76e_0 conda-forge
intel-openmp 2024.0.0 h57928b3_49841 conda-forge
libblas 3.9.0 21_win64_mkl conda-forge
libboost 1.82.0 h65993cd_6 conda-forge
libboost-devel 1.82.0 h91493d7_6 conda-forge
libboost-headers 1.82.0 h57928b3_6 conda-forge
libboost-python 1.82.0 py312h4f1204c_6 conda-forge
libboost-python-devel 1.82.0 py312hd42ba9a_6 conda-forge
libcblas 3.9.0 21_win64_mkl conda-forge
libexpat 2.6.2 h63175ca_0 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 3.45.2 hcfcfb64_0 conda-forge
libxml2 2.12.6 hc3477c8_0 conda-forge
libzlib 1.2.13 hcfcfb64_5 conda-forge
mkl 2024.0.0 h66d3029_49657 conda-forge
numpy 1.26.4 py312h8753938_0 conda-forge
openssl 3.2.1 hcfcfb64_0 conda-forge
pip 24.0 pyhd8ed1ab_0 conda-forge
pthreads-win32 2.9.1 hfa6e2cd_3 conda-forge
python 3.12.2 h2628c8c_0_cpython conda-forge
python_abi 3.12 4_cp312 conda-forge
scipy 1.12.0 py312h8753938_2 conda-forge
setuptools 69.2.0 pyhd8ed1ab_0 conda-forge
tbb 2021.11.0 h91493d7_1 conda-forge
tk 8.6.13 h5226925_1 conda-forge
tzdata 2024a 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
wheel 0.42.0 pyhd8ed1ab_0 conda-forge
xz 5.2.6 h8d14728_0 conda-forge
zstd 1.5.5 h12be248_0 conda-forge
Then I tried to run the unittest for SimplicialLDLT
import numpy as np
from scipy.sparse import csc_matrix
import eigenpy
dim = 100
rng = np.random.default_rng()
A = rng.random((dim, dim))
A = (A + A.T) * 0.5 + np.diag(10.0 + rng.random(dim))
A = csc_matrix(A)
ldlt = eigenpy.SimplicialLDLT(A)
which resulted in the following error:
TypeError: No registered converter was able to produce a C++ rvalue of type class Eigen::Matrix<int,-1,1,0,-1,1> from this Python object of type numpy.ndarray
The issue seems to be only present on Windows.
On my macbook (osx-arm64) everything works as expected.
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