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Drop Python 3.9 and bump NumPy versions in conda-package workflow #229

Drop Python 3.9 and bump NumPy versions in conda-package workflow

Drop Python 3.9 and bump NumPy versions in conda-package workflow #229

Triggered via pull request October 30, 2025 19:21
Status Success
Total duration 12m 38s
Artifacts 8

conda-package.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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8 warnings
build_windows (3.12)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
build_windows (3.10)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
build_windows (3.13)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
build_windows (3.11)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
test_windows (3.13, 2.3)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
test_windows (3.12, 2.3)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
test_windows (3.10, 2.2)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
test_windows (3.11, 2.3)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
305 KB
sha256:c21402bfa1f1d57e42fe1618e42b58299931d7fa0e9fe04a35150e9cc9e05ea7
mkl_random Linux Python 3.11
320 KB
sha256:bc0ff906be2b73bf4c11d96a87312fce819868b15a04a08ebdfa2c3c889ee14f
mkl_random Linux Python 3.12
318 KB
sha256:3e3c7a0fa350d95e556f5c1122d734bffd1c861c89f671c78df6970460d52691
mkl_random Linux Python 3.13
319 KB
sha256:309cb2eabc7493fe806c3024f726536d7626613a945a4a41517c25972b908e79
mkl_random Windows Python 3.10
245 KB
sha256:346050735c1399e21db67168d21edbd4b18978952bd5dc7b921ce0abc1e118fb
mkl_random Windows Python 3.11
250 KB
sha256:c1dcb8f061e5893cdc06cecb271f84304aa850e27dc85ccdf0c7021483d34fce
mkl_random Windows Python 3.12
239 KB
sha256:3fa13576b6e4f142ce4b10ae0f66c93ca4da438f9d7d3b9817ac706b0e3f7f6c
mkl_random Windows Python 3.13
243 KB
sha256:01392fd172b68fc82c6914724baf213163f3c8d77deec2d3a915fa405a150ce8