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Merge pull request #157 from IntelPython/prepare-for-1.5.0-release #536

Merge pull request #157 from IntelPython/prepare-for-1.5.0-release

Merge pull request #157 from IntelPython/prepare-for-1.5.0-release #536

Triggered via push August 11, 2026 21:25
Status Success
Total duration 9m 7s
Artifacts 10
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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5 warnings
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 (3.13, 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
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 (3.14, 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

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
363 KB
sha256:e0c8147a5bf354ed189d8a263ded51608ec843a669d52c685c2d6703010dc974
mkl_random Linux Python 3.11
381 KB
sha256:4d59723699c49cf8c08042d55e1b95ddd769a9f1830b4471358dae24e9270755
mkl_random Linux Python 3.12
373 KB
sha256:90855c07da4c4bbe4f942e9822ec074a99c9936dd8078b834638eee80d42b82c
mkl_random Linux Python 3.13
376 KB
sha256:15a010ab97710664d6b7bbb3e17b05fe9c0a84f29d4b36481fe7841c52def811
mkl_random Linux Python 3.14
379 KB
sha256:fc62cbe136e6114a779d68735f00e51cf0adfcf344e7d7dbb8bfdacae05589d8
mkl_random Windows Python 3.10
295 KB
sha256:2609b8ce14a946ccc2da7ee079c56d1a32783083db4607d5790765ad73f39b4e
mkl_random Windows Python 3.11
317 KB
sha256:be28aa643cb4158b04e15980029978c71014bd0a9c2ba1ae056b8350fe1a66f9
mkl_random Windows Python 3.12
297 KB
sha256:6b04526ff7126ff96b83385a13c9f893c59a954f65bb6b24a1afc36ad74a5cf5
mkl_random Windows Python 3.13
299 KB
sha256:00e10865a7b32ac0599870d4716551c914e42d63adc167bc1ef9214672a93b7b
mkl_random Windows Python 3.14
299 KB
sha256:83ce0c4f70a4fc1124e95f7605c7d20beb58eef4ece4f09bc09ac78d47b692cf