Drop Python 3.9 and bump NumPy versions in conda-package workflow #127
ndgrigorianconda-package-cf.yml
on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Annotations
12 errors and 4 warnings
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test_linux (3.10, numpy">=2", false, ubuntu-latest)
Unable to download artifact(s): Artifact not found for name: mkl_random Linux Python
Please ensure that your artifact is not expired and the artifact was uploaded using a compatible version of toolkit/upload-artifact.
For more information, visit the GitHub Artifacts FAQ: https://github.com/actions/toolkit/blob/main/packages/artifact/docs/faq.md
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test_linux (3.13, numpy">=2", false, ubuntu-latest)
Unable to download artifact(s): Artifact not found for name: mkl_random Linux Python
Please ensure that your artifact is not expired and the artifact was uploaded using a compatible version of toolkit/upload-artifact.
For more information, visit the GitHub Artifacts FAQ: https://github.com/actions/toolkit/blob/main/packages/artifact/docs/faq.md
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test_linux (3.11, numpy">=2", false, ubuntu-latest)
The strategy configuration was canceled because "test_linux._3_13_numpy___2__false_ub" failed
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test_linux (3.11, numpy">=2", false, ubuntu-latest)
Unable to download artifact(s): Artifact not found for name: mkl_random Linux Python
Please ensure that your artifact is not expired and the artifact was uploaded using a compatible version of toolkit/upload-artifact.
For more information, visit the GitHub Artifacts FAQ: https://github.com/actions/toolkit/blob/main/packages/artifact/docs/faq.md
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test_linux (3.12, numpy">=2", false, ubuntu-latest)
The strategy configuration was canceled because "test_linux._3_13_numpy___2__false_ub" failed
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test_linux (3.12, numpy">=2", false, ubuntu-latest)
The operation was canceled.
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test_windows (3.13, numpy">=2", false, windows-latest)
Unable to download artifact(s): Artifact not found for name: mkl_random Windows Python
Please ensure that your artifact is not expired and the artifact was uploaded using a compatible version of toolkit/upload-artifact.
For more information, visit the GitHub Artifacts FAQ: https://github.com/actions/toolkit/blob/main/packages/artifact/docs/faq.md
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test_windows (3.11, numpy">=2", false, windows-latest)
The strategy configuration was canceled because "test_windows._3_13_numpy___2__false_wi" failed
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test_windows (3.10, numpy">=2", false, windows-latest)
The strategy configuration was canceled because "test_windows._3_13_numpy___2__false_wi" failed
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test_windows (3.10, numpy">=2", false, windows-latest)
Unable to download artifact(s): Artifact not found for name: mkl_random Windows Python
Please ensure that your artifact is not expired and the artifact was uploaded using a compatible version of toolkit/upload-artifact.
For more information, visit the GitHub Artifacts FAQ: https://github.com/actions/toolkit/blob/main/packages/artifact/docs/faq.md
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test_windows (3.12, numpy">=2", false, windows-latest)
The strategy configuration was canceled because "test_windows._3_13_numpy___2__false_wi" failed
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test_windows (3.12, numpy">=2", false, windows-latest)
A task was canceled.
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build_windows (3.10, 2.2)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
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build_windows (3.13, 2.3)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
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build_windows (3.11, 2.3)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
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build_windows (3.12, 2.3)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
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Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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mkl_random Linux Python 3.10
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304 KB |
sha256:c17e17bb3191e5effc0ce8b62e62d185e8acfa28277d45167c24325badecdcbd
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mkl_random Linux Python 3.11
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319 KB |
sha256:c0567d42d16413e6c38305955d905138c1541c293e118c5e5c01d6156a52cae3
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mkl_random Linux Python 3.12
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318 KB |
sha256:cfe3f9afef494be650e1c9b3329d2f32d6f5bc1d6bf61e48c2dc018ce23d544b
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mkl_random Linux Python 3.13
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316 KB |
sha256:009ee2b6af81607386dcc36b3bd64701202f4f63d7d7c571bafd5fec1d29c56f
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mkl_random Windows Python 3.10
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244 KB |
sha256:1c4d46ad8c425de2fedad366f79295dd8665b2882e900d795d65da08e99f219b
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mkl_random Windows Python 3.11
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253 KB |
sha256:5a096dc33eb15bcc630ef3bebc1de12e97ad2e55e87ffb0544f25d28de80f97c
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mkl_random Windows Python 3.12
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238 KB |
sha256:0ff23867a3645c8c80f32998f1383a90b130331091dfa72b7d2ab1dd4c013f58
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mkl_random Windows Python 3.13
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238 KB |
sha256:e96783dca3c2cc76c2c390efb222e632b5457a8d12e1bafb4e2f91c5d647dddd
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