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Drop Python 3.9 and bump NumPy versions in conda-package workflow #226

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

Drop Python 3.9 and bump NumPy versions in conda-package workflow #226

Triggered via pull request October 30, 2025 19:07
Status Success
Total duration 12m 36s
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 (3.13)
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
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 (3.12)
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 (3.10, 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 (3.12, 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 (3.11, 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
306 KB
sha256:9240b8813808fc7e9fd4c23dbd5e7de854426347514954ef4ee0cc38f31a4b3c
mkl_random Linux Python 3.11
321 KB
sha256:d29c4428e0e5609f8ef9df62af207b1d5996b2928be324899b5af9befbb78a64
mkl_random Linux Python 3.12
319 KB
sha256:960adfbcd10b52e40e173d67a6086b8c2c040e5fb4176e506a33ba414eded9fe
mkl_random Linux Python 3.13
319 KB
sha256:7949f8c634c40c64e58263a8fb1e472f3103dc84949488423d393ea86885260d
mkl_random Windows Python 3.10
245 KB
sha256:20ddb06abaf8ffc484a65342a159d1a6b1ee38463d76686ae6342449257c7249
mkl_random Windows Python 3.11
253 KB
sha256:d6768b56097ce44db784c077766fc871d7b9834304a2b7e9da47e724408de1a1
mkl_random Windows Python 3.12
238 KB
sha256:85f7ae215a65de433018db4cd31d7edc396147d2b210b008c423d4105aa3cd71
mkl_random Windows Python 3.13
239 KB
sha256:09b12345ed03e5c9b0a03ce75dbcc2af995f33ccef1e3dc16ab2d1e7c9bbd366