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GeezerVison is showing github.com — python-graphblas/scripts/check_versions.sh at 50-tensor · python-graphblas/python-graphblas Expand file tree/ Copy pathcheck_versions.shMore file actions executable file ·35 lines (35 loc) · 2.03 KB / Copy pathcheck_versions.shFile metadata and controlsexecutable file ·35 lines (35 loc) · 2.03 KB 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 #!/usr/bin/env bash # Simple helper to check versions of dependencies. # Use, adjust, copy/paste, etc. as necessary to answer your questions. # This may be helpful when updating dependency versions in CI. # Tip: add `--json` for more information. # # When updating versions throughout the repo (CI, pyproject.toml, pre-commit, etc.), # also update these version numbers to match the latest versions we currently test. # # scripts/audit_pypi_versions.py and scripts/audit_conda_versions.py ask the same # questions automatically, and also check the pools and tables in ci_pick_versions.py # against what is published. The "Audit dependency versions" workflow runs both weekly. conda search 'flake8-bugbear[channel=conda-forge]>=26.10.27' conda search 'flake8-simplify[channel=conda-forge]>=0.31.1' conda search 'numpy[channel=conda-forge]>=2.5' # ci_pick_versions.py caps an unpinned pandas below 3.1 for now (see its MAINT note). conda search 'pandas[channel=conda-forge]>=3.0' conda search 'scipy[channel=conda-forge]>=1.18' conda search 'networkx[channel=conda-forge]>=3.7' conda search 'awkward[channel=conda-forge]>=2.14' conda search 'sparse[channel=conda-forge]>=0.19' # fast_matrix_market is deprecated (no longer maintained; last supported Python is 3.12) conda search 'numba[channel=conda-forge]>=0.68' conda search 'pyyaml[channel=conda-forge]>=6.0' # matplotlib is installed unpinned for the notebooks job; ci_pick_versions.py caps it # below 3.11 when the numpy pick predates matplotlib's numpy >=1.25 runtime floor. conda search 'matplotlib-base[channel=conda-forge]>=3.11' # The notebooks job also installs these, unpinned, wherever it installs numba, which # datashader depends on. They are what graphblas.viz.datashade needs. conda search 'datashader[channel=conda-forge]>=0.19' conda search 'holoviews[channel=conda-forge]>=1.23' conda search 'hvplot[channel=conda-forge]>=0.12' conda search 'bokeh[channel=conda-forge]>=3.10' conda search 'python-suitesparse-graphblas[channel=conda-forge]>=10.5.2' # conda search 'python[channel=conda-forge]>=3.11 *pypy*' |
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