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ci: harden GitHub Actions workflows and add zizmor scan #576

ci: harden GitHub Actions workflows and add zizmor scan

ci: harden GitHub Actions workflows and add zizmor scan #576

Triggered via pull request September 3, 2026 10:47
Status Success
Total duration 8m 45s
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 (3.12, 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 (3.11, 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
382 KB
sha256:45cc350ed8116c147f45e3a7d6a7193b6bac58bfb15f3aa920a51d5808e34ee1
mkl_random Linux Python 3.11
404 KB
sha256:85fcc4558d1cd1e8600efbc9fbc21ce8096b9084816cd6e7e5895d026052f979
mkl_random Linux Python 3.12
390 KB
sha256:ae0e8f8aaafac4c17f0aec2aad882ccf2bb2fdc26cb8bcc2f35df558189b0617
mkl_random Linux Python 3.13
392 KB
sha256:b5339167be85c8f364f1c6f991a0c46498c2113d52eeca79f56435d0f880478c
mkl_random Linux Python 3.14
394 KB
sha256:90d320d6523bceda4c5b3cb1f60c1d3061023652c383476f7c8512f2f87858ce
mkl_random Windows Python 3.10
318 KB
sha256:64faeb7ccbc1c7b67736ba274fac05eaf3e36e62221dbdba95851b3cd19d877f
mkl_random Windows Python 3.11
340 KB
sha256:8c38f42b57be4d1d1a6441baf9bd7bb114a8b044966deef7a38570ae0afd4548
mkl_random Windows Python 3.12
313 KB
sha256:089cb1e10e36dd1869278bdad8b892861b14d96440e558d89a544c31d8151fb8
mkl_random Windows Python 3.13
314 KB
sha256:b4f9a6fb15340d3be2156659e25d02b096b6fc0fb38c18fc656e54889009a1d0
mkl_random Windows Python 3.14
314 KB
sha256:5279c4e2d90598fb6189261156bcd1aaaea48fcf0e91f027138e25155a30be6f