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ci: harden GitHub Actions workflows and add zizmor scan #870

ci: harden GitHub Actions workflows and add zizmor scan

ci: harden GitHub Actions workflows and add zizmor scan #870

Triggered via pull request September 3, 2026 10:19
Status Success
Total duration 10m 9s
Artifacts 24

conda-package.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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7 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 (3.14, 2.3, 3.14.* *_cp314, 3.14)
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 (3.14, 2.3, 3.14.* *_cp314t, 3.14t)
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
test_linux (3.14, numpy">=2", false, ubuntu-latest, 3.14.* *_cp314t, 3.14t)
Failed to restore: The specified blob does not exist. RequestId:3ada76de-f01e-0013-468e-3bf0fc000000 Time:2026-09-03T10:27:02.6201704Z

Artifacts

Produced during runtime
Name Size Digest
mkl_umath Linux Python 3.10
126 KB
sha256:19b1a56b0c2916b405736dd9fa85e14ee1a05df3604a263cbca944b2c87f6751
mkl_umath Linux Python 3.11
130 KB
sha256:c498608a0578340c0677cf1db1b560109834b0712dec56729d31fbca88b9f40b
mkl_umath Linux Python 3.12
129 KB
sha256:e3165e105f19c1261b82d57fc3afd67866fdef487d71172c336259e0f91fb2a0
mkl_umath Linux Python 3.13
129 KB
sha256:8c0a0d2b2b484f766a9ebd8c4efb42126df335725397e777d227b748abb16c2b
mkl_umath Linux Python 3.14
130 KB
sha256:d917685ca30aba1da20daeda0d7d201d50dfc6ed2e38eb6c1f42b72a2ed4588b
mkl_umath Linux Python 3.14t
133 KB
sha256:706be8641456da93138e2fbfe573de941759e2099ca105dcdf4eee0b3b8e419c
mkl_umath Linux Wheels Python 3.10
136 KB
sha256:2d8c264f34a50b856e3a4dd63e795945e0596edb1b1f88eefd958861016f2642
mkl_umath Linux Wheels Python 3.11
136 KB
sha256:295b78e36d7e0f18c40cf32078c7663a76a6d28a745e89e8671c06ebfbdded7b
mkl_umath Linux Wheels Python 3.12
136 KB
sha256:f943aa58291f14dcf841d9b501e3fafa8aab84ba464576a3914194d95f135667
mkl_umath Linux Wheels Python 3.13
135 KB
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mkl_umath Linux Wheels Python 3.14
135 KB
sha256:c15261468e13d14dd0e79d87c02fd0c48deb1a60f436b87f8450b30fbf2c7056
mkl_umath Linux Wheels Python 3.14t
139 KB
sha256:c68484395d3de72028dd7ac14852d1bb822b2b24b54c3b6957703779e3c0a64e
mkl_umath Windows Python 3.10
145 KB
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mkl_umath Windows Python 3.11
149 KB
sha256:f4744d116a42ff67b0e1ff0b9a69a6946648e98ad19cbae5f2f8858a71e3c5da
mkl_umath Windows Python 3.12
148 KB
sha256:8505c0b46acd19dcb1ee12471c7561b632d9a902e9fd1bbd153071e8ad86378f
mkl_umath Windows Python 3.13
147 KB
sha256:8a44fc20b5beb3c617b02a8152f1399f408d9a755f9177b50053205f3d15eafb
mkl_umath Windows Python 3.14
149 KB
sha256:2468c53330acbba7c89ded2357a1e9158e5e489adaf80e2256104febe3a32ae3
mkl_umath Windows Python 3.14t
154 KB
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mkl_umath Windows Wheels Python 3.10
161 KB
sha256:f081b14663e8d935b16c53e706baf3239ef6f22befbddfbfd57fc04e8e7c50fb
mkl_umath Windows Wheels Python 3.11
160 KB
sha256:fb86c7f00f4a3d808fad8fc9fbc18ab4262bc60c2b1b7ac9acb0ad33569014ba
mkl_umath Windows Wheels Python 3.12
160 KB
sha256:0bc2a3b7e1a80bcc49d1cc316c00996fe053bcea3b891b82e356a1b0778027ee
mkl_umath Windows Wheels Python 3.13
159 KB
sha256:3c4f64157383245a52a2122c4d9d7b0007ee0acf6977481419a4837d07f0d528
mkl_umath Windows Wheels Python 3.14
160 KB
sha256:1b2c68228268620e12ae51f711b7da8262c523f3e060e97cce1ac632b3f88df0
mkl_umath Windows Wheels Python 3.14t
166 KB
sha256:3b3b806776ff5e6dadb79fe45abb790b374e05b587a450ce9a19e866c9b03d97