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Merge pull request #113 from IntelPython/build-with-meson #533

Merge pull request #113 from IntelPython/build-with-meson

Merge pull request #113 from IntelPython/build-with-meson #533

Triggered via push August 11, 2026 14:08
Status Success
Total duration 10m 24s
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 (3.12, 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 (3.14, 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 (3.10, 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
363 KB
sha256:18db6392d11ae411a4b737977360534859b0998c30a9e938bb1471d3cea9d8ae
mkl_random Linux Python 3.11
381 KB
sha256:db4df3c546c1f1fe7683e82c8d50472419c476262b9a649d06748a9c57d30939
mkl_random Linux Python 3.12
373 KB
sha256:6b0610df2c5d2267f66bc1a8e9c03b2191d98c4c833cbe0f4a000164510c807f
mkl_random Linux Python 3.13
377 KB
sha256:3b1d2f749ebb3c2cede3d954cb89fe11e74b5a36159a5f40ff93fc2d881e38d2
mkl_random Linux Python 3.14
380 KB
sha256:e4e52d12fd37220d90c5849a41971dcc5cc35cafd7678a61b85e216e73727feb
mkl_random Windows Python 3.10
295 KB
sha256:3af8f43d97f64b5bfe6b64499e02473a4308a4cfb061920e80d9abe9b6317de2
mkl_random Windows Python 3.11
317 KB
sha256:bb2e70f1d55570096b885d947e5b8da83022597d30b61b9146033c8452092e4d
mkl_random Windows Python 3.12
298 KB
sha256:39b8828cce55907db809ea98664b041ddf25951c9c96380a53a3745d343b1f8c
mkl_random Windows Python 3.13
299 KB
sha256:2aa74540da2027061e192b293952dc971fbca251fd5e25aa044296015db7abfb
mkl_random Windows Python 3.14
299 KB
sha256:5365c60863ae56c273dc97ec2334aca7fd13dda68af4e89d6bcb9c153adcc8a8