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Update conda-forge conda recipe #220

Update conda-forge conda recipe

Update conda-forge conda recipe #220

Triggered via pull request March 6, 2026 08:14
Status Success
Total duration 12m 11s
Artifacts 10

conda-package-cf.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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10 warnings
test_windows (3.12, 2.3)
ERROR: 'conda activate "test_mkl_random"' exited with code 1.
test_windows (3.12, 2.3)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_random You can list all discoverable environments with `conda info --envs`.
test_windows (3.13, 2.3)
ERROR: 'conda activate "test_mkl_random"' exited with code 1.
test_windows (3.13, 2.3)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_random You can list all discoverable environments with `conda info --envs`.
test_windows (3.14, 2.3)
ERROR: 'conda activate "test_mkl_random"' exited with code 1.
test_windows (3.14, 2.3)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_random You can list all discoverable environments with `conda info --envs`.
test_windows (3.11, 2.3)
ERROR: 'conda activate "test_mkl_random"' exited with code 1.
test_windows (3.11, 2.3)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_random You can list all discoverable environments with `conda info --envs`.
test_windows (3.10, 2.2)
ERROR: 'conda activate "test_mkl_random"' exited with code 1.
test_windows (3.10, 2.2)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_random You can list all discoverable environments with `conda info --envs`.

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
341 KB
sha256:e153b096a13abd73644054fb7b557936408c3768719b48f0072c9ca1b5a1b230
mkl_random Linux Python 3.11
349 KB
sha256:7a86ec1b1543eb77cc7744e1fbd757437683ad8e79e52225a8fc248402974ea3
mkl_random Linux Python 3.12
344 KB
sha256:9d3d6178f53d9862426e4261704fa6df72e6729e55b105c5797b75a0df420d4d
mkl_random Linux Python 3.13
346 KB
sha256:3d88e01df20d0962278c93b08d6923efde944813f884f0ffd8a362ad32bb5453
mkl_random Linux Python 3.14
349 KB
sha256:e50542a18753b0d6991e419fe1b670a297c4cb02c80b6cecc779833c2c727bcd
mkl_random Windows Python 3.10
277 KB
sha256:bc11492c30266e868bd0f0b339df4ac2777066d8bd954f5c12df1ae7aab088cd
mkl_random Windows Python 3.11
288 KB
sha256:58da1564e8328518650f8a1f42c51f52959caa9ce9cf5394dfa9113aa6d96cf0
mkl_random Windows Python 3.12
274 KB
sha256:5b4074f6adafca5a2178d925e31386556e99c611945bbaa7ac276ba43fa23626
mkl_random Windows Python 3.13
275 KB
sha256:5604d8653ac8726c5f2d11c5366f7f2502c881274a7b600148d37503b0179fd9
mkl_random Windows Python 3.14
274 KB
sha256:0bf86e41a9a7e813ea7a800ad9377b6afecd172fea670f4c89b694bb26fc3827