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Merge pull request #148 from IntelPython/task/coverity #508

Merge pull request #148 from IntelPython/task/coverity

Merge pull request #148 from IntelPython/task/coverity #508

Triggered via push August 4, 2026 06:07
Status Success
Total duration 12m 10s
Artifacts 10
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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5 warnings
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
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

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
388 KB
sha256:8c8627a245f9b5091d1cb0a761ba78b0c4ac65a0ac62fce478f595ca9597d328
mkl_random Linux Python 3.11
409 KB
sha256:be28e86edf6929b60de329c7e7e072321cc6d8b7bbdd72311f8c15fad232b00d
mkl_random Linux Python 3.12
399 KB
sha256:84dfb54b81a88d08bc31c6019c650ebaf99a56a59b9119302a508a7869b7e96f
mkl_random Linux Python 3.13
404 KB
sha256:355aea5323fdc3665ecec7668c64133ced0aa7892fc50cc8fa443c5e4bb52fd1
mkl_random Linux Python 3.14
405 KB
sha256:20dc6972a8c4881f1b94e5c634b2d450e1240c4fec428dc799c27d13f1eeec2a
mkl_random Windows Python 3.10
317 KB
sha256:e3758ab721d6469e3ecba58ea039812ac66f9b70d9c0c480bac0dc92deae44c0
mkl_random Windows Python 3.11
338 KB
sha256:db38a9a620bba0c2abf77fe67ba65762faa22f581779bf3ca9864ed67ed4119f
mkl_random Windows Python 3.12
319 KB
sha256:2f4b5b233a91d546cb9eb7faaceed785f42146c830c1c8589b4c4ea10f55706e
mkl_random Windows Python 3.13
320 KB
sha256:ec2b309b85759108a12b80db7c895f57220b8fb37023117cd9c6eca2b5d01a5d
mkl_random Windows Python 3.14
321 KB
sha256:c413287485bcd232f16a070e8bb7c7ae875838cc198df601cfcbbe80ae9e6578