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Merge pull request #174 from IntelPython/dependabot/pre_commit/pre-co… #591

Merge pull request #174 from IntelPython/dependabot/pre_commit/pre-co…

Merge pull request #174 from IntelPython/dependabot/pre_commit/pre-co… #591

Triggered via push September 5, 2026 10:44
Status Success
Total duration 9m 32s
Artifacts 10
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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6 warnings
build_windows (3.14, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.12, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.10, 2.2)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.13, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.11, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
test_windows (3.12, numpy">=2", false)
warning libmamba Download error (35) SSL connect error [https://conda.anaconda.org/conda-forge/win-64/python-3.12.14-hb12b558_3_cpython.conda] Recv failure: Connection was reset warning libmamba Retrying in 2 seconds

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
409 KB
sha256:e448276d49dfefa104e9b05b53bd9a83266a1a7970c0e24f1d7c8efbe47eb2e1
mkl_random Linux Python 3.11
432 KB
sha256:cd3871790a50511715a5c5565f1cd2dc9c719afbd29ff1e55d8d1a287de9164a
mkl_random Linux Python 3.12
419 KB
sha256:c2f8f744b43c883616d40c71d38f4241641ae01bddc8ffab6a25bc3a62476558
mkl_random Linux Python 3.13
419 KB
sha256:f2c2abc26e802234719ee92ecdb8074998e4c2efbe5c435574dbd9e96e82890c
mkl_random Linux Python 3.14
422 KB
sha256:63ef6139f38dd1d5213d57cfd0e933907d1de83052603cc1959198514aaa9443
mkl_random Windows Python 3.10
338 KB
sha256:164254e4172a71910866300dcf9207cfdac854bc8f34e1558d8747daaeab285e
mkl_random Windows Python 3.11
360 KB
sha256:31bebc9f6d3f6c7bca154255809f2dfae5f04070dc416ce43a182f0d5db8596a
mkl_random Windows Python 3.12
333 KB
sha256:fa568c0fdac4237bb53f7243b8bb63368f287e253c3c0fc218e6d42fd67b1261
mkl_random Windows Python 3.13
332 KB
sha256:c82dc30c2237f04f0bfea1a948337fe1049cad5c7225c33b218c4cd0f75eefa2
mkl_random Windows Python 3.14
333 KB
sha256:d6ab952dd4c3f56ecb229236348dc8e475c45a5f49ece8f7515e91120c1e6d93