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Merge pull request #85 from IntelPython/update-miniconda-gh-action #142

Merge pull request #85 from IntelPython/update-miniconda-gh-action

Merge pull request #85 from IntelPython/update-miniconda-gh-action #142

Triggered via push November 25, 2025 17:31
Status Success
Total duration 12m 52s
Artifacts 8
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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8 warnings
build_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
build_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
build_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
build_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
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 (3.13, 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

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
320 KB
sha256:ca6009136ed2fb97d4648aee3dd666397e7e4c5bf8e29dc3cc8ca0ae34a949c6
mkl_random Linux Python 3.11
330 KB
sha256:ece70562ee843f0fb0a013b416b0fecc364b1d4d088381da0338f6104050ad11
mkl_random Linux Python 3.12
325 KB
sha256:71950a42881ae77dca4e8c49b9e1aedda1e368bfda41568f22f18d448b5c3675
mkl_random Linux Python 3.13
326 KB
sha256:f9e70847f743222d586c9c93b8b068e1e37195f0f479df84af8c2acda9be91e3
mkl_random Windows Python 3.10
263 KB
sha256:c12411cb0b6412e96056083914c9fb4024c9b860a13bc73b019fd19cd9274dfc
mkl_random Windows Python 3.11
271 KB
sha256:5fe74a0f959ab77aa3ed4c3bb5f6fc68e4e1d01074e7182f64e244ce04d8e262
mkl_random Windows Python 3.12
259 KB
sha256:5d7aa0b527cefeb7e893d46da1e8813ff613353bf184026b5821397f1fc746b9
mkl_random Windows Python 3.13
259 KB
sha256:707137a0d08172338e4d3bded25c19850a4df645f462bd29bdb32f49ff578b47