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Merge pull request #243 from IntelPython/drop-python-3.9 #569

Merge pull request #243 from IntelPython/drop-python-3.9

Merge pull request #243 from IntelPython/drop-python-3.9 #569

Triggered via push November 3, 2025 08:32
Status Failure
Total duration 11m 2s
Artifacts 8
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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7 errors and 4 warnings
test_windows (3.10, numpy">=2", false, windows-latest)
Process completed with exit code 1.
test_windows (3.13, numpy">=2", false, windows-latest)
The strategy configuration was canceled because "test_windows._3_10_numpy___2__false_wi" failed
test_windows (3.13, numpy">=2", false, windows-latest)
The operation was canceled.
test_windows (3.11, numpy">=2", false, windows-latest)
The strategy configuration was canceled because "test_windows._3_10_numpy___2__false_wi" failed
test_windows (3.11, numpy">=2", false, windows-latest)
The operation was canceled.
test_windows (3.12, numpy">=2", false, windows-latest)
The strategy configuration was canceled because "test_windows._3_10_numpy___2__false_wi" failed
test_windows (3.12, numpy">=2", false, windows-latest)
The operation was canceled.
build_windows (3.12, 2.3)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.11, 2.3)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.13, 2.3)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.10, 2.2)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.

Artifacts

Produced during runtime
Name Size Digest
mkl_fft Linux Python 3.10
152 KB
sha256:6a94dab9086c50e9bfc89b1555a845f75f349a22d516dbbfc702c8af9bf3cc2a
mkl_fft Linux Python 3.11
179 KB
sha256:2c34254830d520654e80bdb7814b02e34bcdc8a4e7b45ed89c23261b159bf575
mkl_fft Linux Python 3.12
174 KB
sha256:1c41ecd23a7af37bc63c4bf017d24d887a05946abbcbdf5b3dd2027136942582
mkl_fft Linux Python 3.13
174 KB
sha256:4e46b8d3e7dadb04ee660dd2815b15867eea53a64073aa2b216a45e889619a3b
mkl_fft Windows Python 3.10
138 KB
sha256:100c4216f2998c01f6348b99f8afaf5dec625dd3d565e55e48a6edf4cfe72ae4
mkl_fft Windows Python 3.11
162 KB
sha256:28eee4d05e618e94bd7d26751bc2c4c828b930b4ab6735ba218aaeaeab9f7322
mkl_fft Windows Python 3.12
157 KB
sha256:aae0af7161402560bb3c17718e2ca2e2a46f23490286590625b564b34d4de7e8
mkl_fft Windows Python 3.13
157 KB
sha256:78348f637a844fedcfccfb3e1c63ef1f299d923ba599c32cbddcce10c752d964