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Merge pull request #150 from IntelPython/backport/dependabot-grouping #510

Merge pull request #150 from IntelPython/backport/dependabot-grouping

Merge pull request #150 from IntelPython/backport/dependabot-grouping #510

Triggered via push August 4, 2026 13:11
Status Success
Total duration 9m 4s
Artifacts 10
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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5 warnings
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 (3.14, 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 (3.11, 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
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

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
388 KB
sha256:aab29623c24dcb6011c98b1beff4d4b015ebd97593e945d06895c95a3b44f464
mkl_random Linux Python 3.11
410 KB
sha256:d647b1ad4e44e17ae84dd9f7ddabff401ece54b7e876f5a286e762c591967246
mkl_random Linux Python 3.12
400 KB
sha256:443db93866f440437b101d5b161d05763db4e8c9d777f73191ac1248d9ac06db
mkl_random Linux Python 3.13
403 KB
sha256:503286e8a175011abe392a5f68fced1a51f1b73132b08cd5bcee363b808cda91
mkl_random Linux Python 3.14
404 KB
sha256:b1e8f315f09b8fa505d7ad1eef7f87915bd522128adb558e503e260739d87c09
mkl_random Windows Python 3.10
317 KB
sha256:f0be8a083edcf153305d9f46a5c42e9b1dd8c6c85f9d06b261b388d80c914084
mkl_random Windows Python 3.11
338 KB
sha256:44b6b94488e4b4a94d973edda4fe69bfe0fdd57d02fd1f71b7506af392b29fec
mkl_random Windows Python 3.12
319 KB
sha256:d97bd42cbb3f74354c1fff62168de5260f3fe5f75e12a8903d0e59acc03ea135
mkl_random Windows Python 3.13
320 KB
sha256:1ccbc4d088735ac9455a11a4d73c3d8cc0a4f8e325112764ffeab1d8ddb67943
mkl_random Windows Python 3.14
324 KB
sha256:4737e26d31111f876471c9b2abadc55c2c33ddbaf7a22ae2bf07f5c7ffc6d31c