Align conda-forge recipe with normal recipe #865
conda-package.yml
on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Annotations
10 warnings
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test_windows (3.14, false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
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test_windows (3.14, false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft
You can list all discoverable environments with `conda info --envs`.
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test_windows (3.10, false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
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test_windows (3.10, false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft
You can list all discoverable environments with `conda info --envs`.
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test_windows (3.12, false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
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test_windows (3.12, false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft
You can list all discoverable environments with `conda info --envs`.
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test_windows (3.11, false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
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test_windows (3.11, false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft
You can list all discoverable environments with `conda info --envs`.
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test_windows (3.13, false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
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test_windows (3.13, false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft
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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157 KB |
sha256:8dd54a493cabdf3d9674b502307b02c5e676976f3b18833ed37d6c23c6e5ff63
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mkl_fft Linux Python 3.11
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181 KB |
sha256:ab0d599422cb95bfb778c7068fe4d2aee70897cac04f7d4546264897ca711c36
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mkl_fft Linux Python 3.12
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178 KB |
sha256:e7fc85e41a4f997e58c2c47f7e0154d7e88782b056f31320db274b6a884406cd
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mkl_fft Linux Python 3.13
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177 KB |
sha256:361992ffc716e517b1b6a638322d608159d827237f66b154bbf0d2ed4783e6a1
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mkl_fft Linux Python 3.14
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178 KB |
sha256:e2c655a8e0e05b7e558f5ba08c2a3f7f277c734f2bcae1907182cab82b68e2cf
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mkl_fft Windows Python 3.10
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142 KB |
sha256:8fa7bd079e74fa5f82cdaa20dca39cc6d02d6adfda6e07c06fcb0e91bf396ee8
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mkl_fft Windows Python 3.11
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168 KB |
sha256:c5a7f943f4e2282d8123fa25e871943502da471c08728227a827db988f39d0d8
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mkl_fft Windows Python 3.12
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163 KB |
sha256:bb32e410de92f1899f8f76d962d042ca39974a76f8aa474435aefabbc774c62a
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mkl_fft Windows Python 3.13
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163 KB |
sha256:ba710f03e6f47b0b7874b37d2c36b4c132e7a25cf5dfb5b7b06d12223921ad29
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mkl_fft Windows Python 3.14
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164 KB |
sha256:d21976dc245e8b21f48a9d25fcf5801564268409befefb5c7ce8ed9eee560ee2
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