Comments (2)
It can easily be build for 3.10 my simply changing the requrements.txt to <= 3.10
from scikit-sparse.
Also note that pyproject.toml
is missing requirements for 3.10, and it needs an unpinned numpy
version for future Python versions. Consider removing the existing numpy pins and depending just on oldest-supported-numpy
instead.
from scikit-sparse.
Related Issues (20)
- Working With CHOLMOD Built from Source HOT 1
- convert csc_matrix or lil_matrix to tensor form
- Python 3.9 support (regenerate with new cython) HOT 2
- xx HOT 1
- Can't find "cholmod.h" while installing using pip on macOS HOT 2
- computing selective inverse efficiently
- Support GPU?
- Support Apple silicon? HOT 8
- There is a "Process finished with exit code -1073741819 (0xC0000005)" HOT 1
- Adding citations
- Adapt package to work with SciPy's 'LinearOperator' interface
- Python 3.10? HOT 1
- Solving poisson equation with Cholesky HOT 1
- Problems with installation
- Import Error: symbol not found when importing sksparse.cholmod HOT 2
- Support for Python 3.11 HOT 2
- Pip installation fails during cython compilation HOT 5
- tests/test_data intentionally not part of the PyPI tarball?
- ImportError: dlopen(.../cholmod.cpython-311-darwin.so): Library not loaded: @rpath/libblas.3.dylib HOT 1
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from scikit-sparse.