Prepare for 1.3.0 release
#209
antonwolfyconda-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 (3.12)
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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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 (3.9)
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 (3.9, 1.26)
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, 2.2)
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 (3.11, 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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Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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mkl_random Linux Python 3.10
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305 KB |
sha256:bd78e55fe0fa930000f091c543ef8b6d08b8a613b1248a1eade188fcdef06748
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mkl_random Linux Python 3.11
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321 KB |
sha256:246775e6d5b72ce484431061f23d2f17e37231fdae5429665a6de037e4434d50
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mkl_random Linux Python 3.12
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318 KB |
sha256:5bfc250204b35453349711b885cd80ce36a540327b9a53a45a19d154321da554
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mkl_random Linux Python 3.9
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306 KB |
sha256:df3b126115bcffcce966d2a3dd9dfd99d2fc80acf26d31f6230098be55bd00fc
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mkl_random Windows Python 3.10
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241 KB |
sha256:00ff048fd306f6aca8032961b4150be74cf6f48a78c5f2d592685720926d9953
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mkl_random Windows Python 3.11
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253 KB |
sha256:cbf766d161d10239c2b68cd669ecd821016fd34299f9845f3769e4cd307c10f9
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mkl_random Windows Python 3.12
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241 KB |
sha256:93dac16840ab1dd48b47332cd15200d36e2dd2d639066f0df06b85848e521787
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mkl_random Windows Python 3.9
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244 KB |
sha256:a493da22f8e4c03ed182b34b0969ef936bdc6050f86297501eca788207a1d24a
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