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Bump github/codeql-action from 4.31.0 to 4.31.2 #570

Bump github/codeql-action from 4.31.0 to 4.31.2

Bump github/codeql-action from 4.31.0 to 4.31.2 #570

Triggered via pull request November 3, 2025 08:32
Status Failure
Total duration 10m 58s
Artifacts 8

conda-package-cf.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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7 errors and 4 warnings
test_windows (3.13, numpy">=2", false, windows-latest)
Process completed with exit code 1.
test_windows (3.10, numpy">=2", false, windows-latest)
The strategy configuration was canceled because "test_windows._3_13_numpy___2__false_wi" failed
test_windows (3.10, 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_13_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_13_numpy___2__false_wi" failed
test_windows (3.12, numpy">=2", false, windows-latest)
The operation was canceled.
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`.
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`.

Artifacts

Produced during runtime
Name Size Digest
mkl_fft Linux Python 3.10
154 KB
sha256:557f88a61cee7b191c265e6caa334b53d57521fd0c68c89ddcd9ed140bad7f38
mkl_fft Linux Python 3.11
178 KB
sha256:32280f3203019e6a9aa36584483ea1167fdeaccc2a5cf72216aa93a57dccf321
mkl_fft Linux Python 3.12
174 KB
sha256:b96d3eb0ba22bace58382e7194d6113105796653597fe67b81b3a5ffb20b57c9
mkl_fft Linux Python 3.13
174 KB
sha256:4802e88e4b567d993622b2f78438248391915df421a0569212f2ca7a0f30ba87
mkl_fft Windows Python 3.10
138 KB
sha256:62e1323b6822219088c4a6ec45f46593e29ec0ec1300d019c978dd5281cdedd8
mkl_fft Windows Python 3.11
162 KB
sha256:05277165d282d4eb05bf4dfc31f432e8933b313a021f7a5e7dffad496d0d346e
mkl_fft Windows Python 3.12
157 KB
sha256:3161d9b0c4a86019374134c2c7e613db4e9a53f13b7b434f98e6041757629c54
mkl_fft Windows Python 3.13
157 KB
sha256:802ba08512c1ee6fab625004c0c865a88ea72f204b85b5344859ffec23d32033