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Merge pull request #267 from IntelPython/ci/harden-workflows-zizmor #258

Merge pull request #267 from IntelPython/ci/harden-workflows-zizmor

Merge pull request #267 from IntelPython/ci/harden-workflows-zizmor #258

Triggered via push September 3, 2026 13:35
Status Success
Total duration 11m 18s
Artifacts 12
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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6 warnings
build_windows (3.14, 2.3, 3.14.* *_cp314, 3.14)
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 (3.12, 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 (3.14, 2.3, 3.14.* *_cp314t, 3.14t)
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
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

Artifacts

Produced during runtime
Name Size Digest
mkl_umath Linux Python 3.10
125 KB
sha256:3b4f687c1d6e378d63ca5f3ae97960523c337395651bdbfaf373a8cc6ed5e3a4
mkl_umath Linux Python 3.11
129 KB
sha256:62fb12718769c3e64c43edf092e4e8209b3bc85b2a93b57772c2eeaba26c69db
mkl_umath Linux Python 3.12
128 KB
sha256:2671c3fcc228364b28b8d1831c1eb706d053f60fad88058aedd95a0cba97699d
mkl_umath Linux Python 3.13
127 KB
sha256:c084e37bf6313ee2f8ad4ae1565ab9d7a4189c09f7a5e30c0ea6678a3780ba89
mkl_umath Linux Python 3.14
129 KB
sha256:63e7301a5db0e29f779b19a105effadba3a254fba3e76c7a54d68d3e13649130
mkl_umath Linux Python 3.14t
131 KB
sha256:1c4d3f6efc2d3484938f7dd1e688a444f92e5fc95942ae97c24c704f26e35573
mkl_umath Windows Python 3.10
143 KB
sha256:2a1f79d9a86f8e3ae8998b35d85fd51c5a78b2d740aa19019fbd0c2922fcc430
mkl_umath Windows Python 3.11
148 KB
sha256:639e45e4f8bd417eea6d19bd845884da44c36c357e46e9126dc96fed6f29d2ce
mkl_umath Windows Python 3.12
145 KB
sha256:364912409e9fec285fef812c63a1d768824ecc0bc72256c050b8636dbd8f36b9
mkl_umath Windows Python 3.13
146 KB
sha256:0e646475a99965a1330b62a1ab176378e30c4bb8268372606b856ed1e4335966
mkl_umath Windows Python 3.14
146 KB
sha256:89b8231e5e4b38b7bb48d25f7f8bb983ee22dcb48070a329430026f453f95b97
mkl_umath Windows Python 3.14t
152 KB
sha256:a2d358f9c5699a4c6b1b35d9b8812e77c5c251a13e16541a0431611251693928