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Improve GitHub workflow conda-package.yml #240

Improve GitHub workflow conda-package.yml

Improve GitHub workflow conda-package.yml #240

Triggered via pull request November 21, 2025 16:52
Status Failure
Total duration 14m 4s
Artifacts 8

conda-package.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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14 errors and 16 warnings
test_linux (3.11, 2.3)
Process completed with exit code 4.
test_linux (3.13, 2.3)
The strategy configuration was canceled because "test_linux._3_11_2_3" failed
test_linux (3.13, 2.3)
The operation was canceled.
test_linux (3.10, 2.2)
The strategy configuration was canceled because "test_linux._3_11_2_3" failed
test_linux (3.10, 2.2)
The operation was canceled.
test_linux (3.12, 2.3)
The strategy configuration was canceled because "test_linux._3_11_2_3" failed
test_linux (3.12, 2.3)
The operation was canceled.
test_windows (3.10, 2.2)
Process completed with exit code 1.
test_windows (3.11, 2.3)
The strategy configuration was canceled because "test_windows._3_10_2_2" failed
test_windows (3.11, 2.3)
The operation was canceled.
test_windows (3.12, 2.3)
The strategy configuration was canceled because "test_windows._3_10_2_2" failed
test_windows (3.12, 2.3)
The operation was canceled.
test_windows (3.13, 2.3)
The strategy configuration was canceled because "test_windows._3_10_2_2" failed
test_windows (3.13, 2.3)
The operation was canceled.
build_linux (3.11)
No files were found with the provided path: /home/runner/work/mkl_random/mkl_random/mkl_service-*.whl. No artifacts will be uploaded.
build_linux (3.10)
No files were found with the provided path: /home/runner/work/mkl_random/mkl_random/mkl_service-*.whl. No artifacts will be uploaded.
build_linux (3.12)
No files were found with the provided path: /home/runner/work/mkl_random/mkl_random/mkl_service-*.whl. No artifacts will be uploaded.
build_linux (3.13)
No files were found with the provided path: /home/runner/work/mkl_random/mkl_random/mkl_service-*.whl. No artifacts will be uploaded.
build_windows (3.12)
No files were found with the provided path: D:\a\mkl_random\mkl_random\mkl_service-*.whl. No artifacts will be uploaded.
build_windows (3.12)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.13)
No files were found with the provided path: D:\a\mkl_random\mkl_random\mkl_service-*.whl. No artifacts will be uploaded.
build_windows (3.13)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.10)
No files were found with the provided path: D:\a\mkl_random\mkl_random\mkl_service-*.whl. No artifacts will be uploaded.
build_windows (3.10)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.11)
No files were found with the provided path: D:\a\mkl_random\mkl_random\mkl_service-*.whl. No artifacts will be uploaded.
build_windows (3.11)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
test_windows (3.10, 2.2)
EnvironmentNameNotFound: Could not find conda environment: test You can list all discoverable environments with `conda info --envs`.
test_windows (3.11, 2.3)
EnvironmentNameNotFound: Could not find conda environment: test You can list all discoverable environments with `conda info --envs`.
test_windows (3.12, 2.3)
EnvironmentNameNotFound: Could not find conda environment: test You can list all discoverable environments with `conda info --envs`.
test_windows (3.13, 2.3)
EnvironmentNameNotFound: Could not find conda environment: test You can list all discoverable environments with `conda info --envs`.

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
6.78 KB
sha256:255e49171caf7e2eac307ed4a9e6c0e503883703306c299c764ac3ec984f3c58
mkl_random Linux Python 3.11
6.79 KB
sha256:164539368517614b0bf9f0ac45b6f91c9c4b697211bad48823e80c0e34dab6c9
mkl_random Linux Python 3.12
6.82 KB
sha256:df1d0d1f74ac8621609c4306081c6e3c192e00c0de24527982e2b2bf551b0a95
mkl_random Linux Python 3.13
6.81 KB
sha256:00986c17dde8669fd9fc1344c1d9640a284d333e45c9302881d3b8de64bdfaca
mkl_random Windows Python 3.10
6.1 KB
sha256:60b8f4d828626e51a676b4f1e169538d8b84488ab3d93cf9c35d7eba846c697c
mkl_random Windows Python 3.11
6.09 KB
sha256:95d4d23253c3956a47a2293c97464b625e97ffd838e5c8d66510bbfbcc8a6af1
mkl_random Windows Python 3.12
6.1 KB
sha256:cdcf2852bc0c0c9c20e958320f863b3c6a36c6e661510dc68e438e7feb52506a
mkl_random Windows Python 3.13
6.08 KB
sha256:0fd39320d6dae1b4f452b3c86767643b1be8d74e38d89406c835c76116431d7a