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Merge pull request #161 from IntelPython/dependabot/github_actions/gi… #546

Merge pull request #161 from IntelPython/dependabot/github_actions/gi…

Merge pull request #161 from IntelPython/dependabot/github_actions/gi… #546

Triggered via push August 17, 2026 09:11
Status Success
Total duration 9m 32s
Artifacts 10
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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5 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 (3.13, 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 (3.12, 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 (3.11, 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 (3.10, 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

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
362 KB
sha256:262156076fbdf979144a5a652bc986dd87d4b7bcdd7229a437658cf4fd6a18d7
mkl_random Linux Python 3.11
380 KB
sha256:8cbf0e5ef26aecc5a08f77bf211e6279ccbc69e2a3eee87e7527c412b1ada2ef
mkl_random Linux Python 3.12
373 KB
sha256:d691e69be54ce73fa90d273aadc730f3fc1014d9b3a81891c5844811437f8f75
mkl_random Linux Python 3.13
376 KB
sha256:8fb078e37af910f39de60a17fdb116399f75c39d742050d42464473e9b84eb4c
mkl_random Linux Python 3.14
377 KB
sha256:dbcff68da78c0ad7e1ce8db240e6d23fd16b34d1a5253db863dbc54a7fb333dd
mkl_random Windows Python 3.10
295 KB
sha256:2e66766033bf6589b0b3d5520261038e0a7d265c3c4a3c82a8dc6a69a6f00b91
mkl_random Windows Python 3.11
318 KB
sha256:2364597b49a3809e6823b9dd50f8a9549520c2c6f08a0de3cddff04adb97ea19
mkl_random Windows Python 3.12
298 KB
sha256:d2bb6ee0ada7f24163fe0f23e53de0f781a84637af2cad061cfa030e7ec2e20c
mkl_random Windows Python 3.13
299 KB
sha256:c8c4f26960fbbd57bca65ebcf7b1e6c86a09c1c76745eec853ea0a3cd4293fff
mkl_random Windows Python 3.14
299 KB
sha256:6bde1c809ffb4407dafd66165a275cd75deb1af7e12bbe2c51cde5743ec74668