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task: add patch methods for mkl_random #225

task: add patch methods for mkl_random

task: add patch methods for mkl_random #225

Triggered via pull request March 6, 2026 14:21
Status Failure
Total duration 14m 34s
Artifacts 10

conda-package-cf.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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18 errors
test_linux (3.12, 2.3)
Process completed with exit code 1.
test_linux (3.13, 2.3)
The strategy configuration was canceled because "test_linux._3_12_2_3" failed
test_linux (3.13, 2.3)
Process completed with exit code 1.
test_linux (3.14, 2.3)
The strategy configuration was canceled because "test_linux._3_12_2_3" failed
test_linux (3.14, 2.3)
The operation was canceled.
test_linux (3.11, 2.3)
The strategy configuration was canceled because "test_linux._3_12_2_3" failed
test_linux (3.11, 2.3)
The operation was canceled.
test_linux (3.10, 2.2)
The strategy configuration was canceled because "test_linux._3_12_2_3" failed
test_linux (3.10, 2.2)
The operation was canceled.
test_windows (3.13, 2.3)
Process completed with exit code 1.
test_windows (3.12, 2.3)
The strategy configuration was canceled because "test_windows._3_13_2_3" failed
test_windows (3.12, 2.3)
Process completed with exit code 1.
test_windows (3.11, 2.3)
The strategy configuration was canceled because "test_windows._3_13_2_3" failed
test_windows (3.11, 2.3)
The operation was canceled.
test_windows (3.10, 2.2)
The strategy configuration was canceled because "test_windows._3_13_2_3" failed
test_windows (3.10, 2.2)
The operation was canceled.
test_windows (3.14, 2.3)
The strategy configuration was canceled because "test_windows._3_13_2_3" failed
test_windows (3.14, 2.3)
The operation was canceled.

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
345 KB
sha256:74bbed10c97f5219e6e29be8250475e199b789165a3733f765fe811797a508fb
mkl_random Linux Python 3.11
358 KB
sha256:5aea10ed8143eef46a04ba3ffce3da115bc5abe541519e3212aa9eb39f653a6a
mkl_random Linux Python 3.12
352 KB
sha256:b79c8fa2be5ba80601e56a3c80349e4db42c9992bc6551e1dcfd4afbd0f8ad38
mkl_random Linux Python 3.13
354 KB
sha256:e317a6aebff7fea3f017728158c6d90b18a51255c37cb8e03a1a6d989595db28
mkl_random Linux Python 3.14
351 KB
sha256:806365a5e44e30a0dfeb20d584d3e3f6e6005492b0ebebee4d59dae30b927a93
mkl_random Windows Python 3.10
283 KB
sha256:6995850d90c9a152e1fbb3aada2356ee05fb834b97117e0f8514c8692370533d
mkl_random Windows Python 3.11
295 KB
sha256:e94b126ff6e8b3290f7f8624bf854be7e49b71e3b14216374420633bc4735da9
mkl_random Windows Python 3.12
285 KB
sha256:b97e7096564d7de2088643f47083139b544984016211981d54699d810a9dca4a
mkl_random Windows Python 3.13
286 KB
sha256:1ed19a00e6cb6fb51b84487b672a3a27285c48aebcd5b208beec3b21379cf4cf
mkl_random Windows Python 3.14
285 KB
sha256:b6b15577c7e887867ea4c0f75e2d847b756af8fe4fd84f2d2b2d64a25dcf8b58