Skip to content

Backport gh-77

Backport gh-77 #211

Triggered via pull request October 6, 2025 17:21
Status Success
Total duration 14m 32s
Artifacts 8

conda-package.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Fit to window
Zoom out
Zoom in

Annotations

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 (3.11)
WARNING conda.cli.main_config:_set_key(451): Key auto_activate_base is an alias of auto_activate; setting value with latter
build_windows (3.9)
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
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
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
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
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

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
305 KB
sha256:4843355dc04a07add58dbf1b6e84ebb4ab0a2a5bfccbe50ebc832b707766f007
mkl_random Linux Python 3.11
320 KB
sha256:a72919fb57ea918ff6256a52d5e2a981bb9ae9aea7c3dfc79fb290b6a9e19f09
mkl_random Linux Python 3.12
317 KB
sha256:3bbec6b4c56079b17cac67ac146c9c502bbe0501ea1ce8988cbd2941bc451815
mkl_random Linux Python 3.9
306 KB
sha256:42688f4b9cb9f57e52e49f7f46bb7f4ce4d177435c02f92605ce68f178e41719
mkl_random Windows Python 3.10
241 KB
sha256:e241915b737d942eca0ca9df00f1eb239e3aadeaf3a79c0baa2df636a4e3a6e9
mkl_random Windows Python 3.11
250 KB
sha256:fc77bee45b7a2302458099e1e5ee5762387b165d105a96726bf8fe39b61cdc27
mkl_random Windows Python 3.12
238 KB
sha256:1ce055d85b7af8ee280055f3f90f46ccdcd9471dcf943f528a509b414c2ff086
mkl_random Windows Python 3.9
242 KB
sha256:72983e49bf1fcc2cee553896e221fe9048031ba7201287b0b95f4e78d08c99d6