Drop Python 3.9 and bump NumPy versions in conda-package workflow #226
conda-package.yml
on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Annotations
8 warnings
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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
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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
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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
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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
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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
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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
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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
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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
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Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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mkl_random Linux Python 3.10
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306 KB |
sha256:9240b8813808fc7e9fd4c23dbd5e7de854426347514954ef4ee0cc38f31a4b3c
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mkl_random Linux Python 3.11
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321 KB |
sha256:d29c4428e0e5609f8ef9df62af207b1d5996b2928be324899b5af9befbb78a64
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mkl_random Linux Python 3.12
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319 KB |
sha256:960adfbcd10b52e40e173d67a6086b8c2c040e5fb4176e506a33ba414eded9fe
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mkl_random Linux Python 3.13
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319 KB |
sha256:7949f8c634c40c64e58263a8fb1e472f3103dc84949488423d393ea86885260d
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mkl_random Windows Python 3.10
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245 KB |
sha256:20ddb06abaf8ffc484a65342a159d1a6b1ee38463d76686ae6342449257c7249
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mkl_random Windows Python 3.11
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253 KB |
sha256:d6768b56097ce44db784c077766fc871d7b9834304a2b7e9da47e724408de1a1
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mkl_random Windows Python 3.12
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238 KB |
sha256:85f7ae215a65de433018db4cd31d7edc396147d2b210b008c423d4105aa3cd71
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mkl_random Windows Python 3.13
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239 KB |
sha256:09b12345ed03e5c9b0a03ce75dbcc2af995f33ccef1e3dc16ab2d1e7c9bbd366
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