Add 3.14 python #572
jharlow-intelconda-package-cf.yml
on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Annotations
7 errors and 4 warnings
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test_windows (3.11, numpy">=2", false, windows-latest)
Process completed with exit code 1.
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test_windows (3.13, numpy">=2", false, windows-latest)
The strategy configuration was canceled because "test_windows._3_11_numpy___2__false_wi" failed
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test_windows (3.13, numpy">=2", false, windows-latest)
The operation was canceled.
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test_windows (3.10, numpy">=2", false, windows-latest)
The strategy configuration was canceled because "test_windows._3_11_numpy___2__false_wi" failed
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test_windows (3.10, numpy">=2", false, windows-latest)
The operation was canceled.
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test_windows (3.12, numpy">=2", false, windows-latest)
The strategy configuration was canceled because "test_windows._3_11_numpy___2__false_wi" failed
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test_windows (3.12, numpy">=2", false, windows-latest)
The operation was canceled.
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build_windows (3.13, 2.3)
EnvironmentNameNotFound: Could not find conda environment: build
You can list all discoverable environments with `conda info --envs`.
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build_windows (3.10, 2.2)
EnvironmentNameNotFound: Could not find conda environment: build
You can list all discoverable environments with `conda info --envs`.
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build_windows (3.11, 2.3)
EnvironmentNameNotFound: Could not find conda environment: build
You can list all discoverable environments with `conda info --envs`.
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build_windows (3.12, 2.3)
EnvironmentNameNotFound: Could not find conda environment: build
You can list all discoverable environments with `conda info --envs`.
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Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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mkl_fft Linux Python 3.10
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153 KB |
sha256:8914a35a6cb949c158d56237e37756ae4a45874e7e56993c8e377a7d2601e067
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mkl_fft Linux Python 3.11
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179 KB |
sha256:7081c9ed0d41961f504347f7b6351b850a234777b73c67472282dcf57d05d65e
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mkl_fft Linux Python 3.12
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174 KB |
sha256:16c80352aad32f24e7059e9e9713a7b80aad83d986b155662f04ebd6c334f2b4
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mkl_fft Linux Python 3.13
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174 KB |
sha256:c49daddaed2be6ea768a8a51f54ce3c3907540cfa0b20297fe236faa0a7ad019
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mkl_fft Windows Python 3.10
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139 KB |
sha256:9de74d43a9011f2bcb8fc85259e1ecacc508ca30f66189c485861333b307f9fb
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mkl_fft Windows Python 3.11
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162 KB |
sha256:4a8def9be3a1d653032d177011edfb2bc16a85f5187ab7775534211778c11c13
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mkl_fft Windows Python 3.12
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157 KB |
sha256:cdab035fb8494cc9c0f5b7f1a9f230320738d448111cc173ec65013530853252
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mkl_fft Windows Python 3.13
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157 KB |
sha256:aaf7fd66f45d04e03cde813fbc1fd3204a3b8f529c167484692f9d8ed4b5336f
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