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Support array_like low/high bounds for randint #574

Support array_like low/high bounds for randint

Support array_like low/high bounds for randint #574

Triggered via pull request September 2, 2026 17:10
Status Success
Total duration 9m 59s
Artifacts 10

conda-package.yml

on: pull_request
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 (3.10, 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 (3.11, 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 (3.12, 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
408 KB
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mkl_random Linux Python 3.11
430 KB
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mkl_random Linux Python 3.12
418 KB
sha256:422bafdebe72808b073f5f8c2bcdf59b1389f567866a9936ad4bd79d1b42f831
mkl_random Linux Python 3.13
419 KB
sha256:4ca1fe5735df3249a7fd298e2af2081cac18202615ad3a4a2748a930624081ec
mkl_random Linux Python 3.14
420 KB
sha256:b198650ea7626d9d42001923524d7e5a872f31950252aa74db11585895ceb5c0
mkl_random Windows Python 3.10
337 KB
sha256:25d5f7efaf374630c1dd7b51353a4e5c87d653922205d281aa31018894456d00
mkl_random Windows Python 3.11
360 KB
sha256:916642e389a39670db9b2d0c8d585ff86d785966b6281c706a6b761da28bfab1
mkl_random Windows Python 3.12
332 KB
sha256:f7bdf0d56815014b91cdc10f666648864aabdfee99710d9d9e280c56e1dade2a
mkl_random Windows Python 3.13
332 KB
sha256:fbc3cf53531760c468b05a3c713d248432f40a8711728641698f969f46aa3aa7
mkl_random Windows Python 3.14
333 KB
sha256:b146134a02c2aa7bcc8ea17804344e52b9af8c639276b7aa345f20f51cf8ebe1