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chore(deps): bump the github-actions group with 4 updates #543

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

chore(deps): bump the github-actions group with 4 updates #543

Triggered via pull request August 15, 2026 06:55
Status Success
Total duration 9m 23s
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 (3.14, 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 (3.11, 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 (3.12, 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
363 KB
sha256:ead193ed8ac220a4d5badb58536b6ab997c5cda4ef4fc23f61d09578d9b8bff7
mkl_random Linux Python 3.11
380 KB
sha256:fdc3c539f6f24615cc648e1d5c5cb7600ab0563318d745789f5d7a3af9ba84eb
mkl_random Linux Python 3.12
373 KB
sha256:fa8b0b9df17657754828f82c61eb8b5efa379fa2bba40eb91b5ae41f0c2c158f
mkl_random Linux Python 3.13
376 KB
sha256:9fc29673065eda854eee5563b5b049e0d9f5fe11d1d39dbe98ca39391f997ca8
mkl_random Linux Python 3.14
379 KB
sha256:867d7dd5af817d1d6d9197417fd18b4f70d596ff66e9f843aab924e1a2952728
mkl_random Windows Python 3.10
295 KB
sha256:8b61f65a45782ef764db716b1a5b4972df7d6e247d1feb5e5271f2639c5ccc53
mkl_random Windows Python 3.11
318 KB
sha256:ac08c2f4e9c0956e0460aaf1f9011e4e7e1224aaedd6cba33f957c0236832403
mkl_random Windows Python 3.12
296 KB
sha256:03aa302f7c3ca9f03a7bb4c077591c7683cda88176f5901623bdfa064cef7ae2
mkl_random Windows Python 3.13
299 KB
sha256:1558d9fb67b1c887cefb4898f134057612330d45f0d0e40361225e458211eb08
mkl_random Windows Python 3.14
298 KB
sha256:d7d5f3079e1bd8ee15d87ac050cfd25c0731651028922bb66961da6b79cf9fdb