Skip to content

Merge pull request #167 from IntelPython/fix_uniform_return #567

Merge pull request #167 from IntelPython/fix_uniform_return

Merge pull request #167 from IntelPython/fix_uniform_return #567

Triggered via push September 1, 2026 13:27
Status Success
Total duration 9m 57s
Artifacts 10
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Fit to window
Zoom out
Zoom in

Annotations

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
383 KB
sha256:374263add42ff26024a5fdf0eb8adfd5cb0a5631216e06213c1b3215ae79cab1
mkl_random Linux Python 3.11
404 KB
sha256:97e46335a634432e7d292a9b13b43dd09ee5de0dfbeab5581187be13d9133e23
mkl_random Linux Python 3.12
391 KB
sha256:71345258b12495a5622b186af0e960027057d6fb420337d879f9190777f6838e
mkl_random Linux Python 3.13
393 KB
sha256:1d52289d656fdea03b3ceb870484e62eb9edbd84001b37005354db3d8fc6e102
mkl_random Linux Python 3.14
393 KB
sha256:0d1d1f06f36e3fbe176a38074814cd61a1278535b99ba1e435ea838cfd52f0d7
mkl_random Windows Python 3.10
319 KB
sha256:761808a6092bdc3c4b0bf3a6e3eaf5423c08369169e88a8c92abb78f684fadba
mkl_random Windows Python 3.11
340 KB
sha256:5e42b56b765d631c1f23df5430ef36d36c580798b5431fd2798f1563d4fb7fe7
mkl_random Windows Python 3.12
313 KB
sha256:202c0eb57ae4bcd783d63d411655c40965329a551505df872737ff5604dfbcfb
mkl_random Windows Python 3.13
314 KB
sha256:a253944465561b3524c71bd2fa06ccb7f66ad5b959913321a91e2b46f7bc0dfa
mkl_random Windows Python 3.14
315 KB
sha256:e356315ed92faa07b06777526f74eb93c54de4096da924462e1c1f5c35190775