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chore(deps): bump the github-actions group with 4 updates #545

chore(deps): bump the github-actions group with 4 updates

chore(deps): bump the github-actions group with 4 updates #545

Triggered via pull request August 17, 2026 08:36
Status Success
Total duration 11m 40s
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 (3.11, 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
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

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
362 KB
sha256:9f869c4e062c530c8c154fea4d7d112bdce075f74182f992a1415e417dee508a
mkl_random Linux Python 3.11
380 KB
sha256:0b224ad899be3bfe16cb6dbd137360dec158de11efde265fffd4d77609587d7a
mkl_random Linux Python 3.12
372 KB
sha256:23ecfdc74aaa04fe477b4a56ddfb91537c7625946b01ab16cac732fbef5c2067
mkl_random Linux Python 3.13
376 KB
sha256:9407fe879b5e95d3c5169322889127fadbfe425365d7839e27f9769e8ecfd826
mkl_random Linux Python 3.14
377 KB
sha256:ca3265158f95ddc72e2bca6727ed478e8ed0c9077f91509d55db442b38c54867
mkl_random Windows Python 3.10
295 KB
sha256:66efb57e073dd20c8c9d12ba768a92e707901d53fbe9452dd5d9d5075283b88b
mkl_random Windows Python 3.11
318 KB
sha256:928aced65b186cad9e2517f1d58c695b0b6b86fe9e58c8db53cd29533ec1def2
mkl_random Windows Python 3.12
296 KB
sha256:1d8ae65f797a770e1acbd90ce7813b0040613c11f92c0b33817c1907f17cdf59
mkl_random Windows Python 3.13
299 KB
sha256:02840f5aad98f342ceb79b0392e9dd07639daf60fbde7b766ccd9f9a4a7450ae
mkl_random Windows Python 3.14
299 KB
sha256:1674331d70342cf3403581ee7c3320510a291a09f7321d12f3a0804f26f12fde