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task: add patch methods for mkl_random #228

task: add patch methods for mkl_random

task: add patch methods for mkl_random #228

Triggered via pull request March 6, 2026 14:28
Status Failure
Total duration 14m 53s
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 (3.10, 2.2)
Process completed with exit code 1.
test_linux (3.12, 2.3)
The strategy configuration was canceled because "test_linux._3_10_2_2" failed
test_linux (3.12, 2.3)
The operation was canceled.
test_linux (3.13, 2.3)
The strategy configuration was canceled because "test_linux._3_10_2_2" failed
test_linux (3.13, 2.3)
The operation was canceled.
test_linux (3.14, 2.3)
The strategy configuration was canceled because "test_linux._3_10_2_2" 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_10_2_2" failed
test_linux (3.11, 2.3)
The operation was canceled.
test_windows (3.10, 2.2)
Process completed with exit code 1.
test_windows (3.13, 2.3)
The strategy configuration was canceled because "test_windows._3_10_2_2" failed
test_windows (3.13, 2.3)
The operation was canceled.
test_windows (3.12, 2.3)
The strategy configuration was canceled because "test_windows._3_10_2_2" failed
test_windows (3.12, 2.3)
The operation was canceled.
test_windows (3.11, 2.3)
The strategy configuration was canceled because "test_windows._3_10_2_2" failed
test_windows (3.11, 2.3)
The operation was canceled.
test_windows (3.14, 2.3)
The strategy configuration was canceled because "test_windows._3_10_2_2" failed
test_windows (3.14, 2.3)
The operation was canceled.

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
346 KB
sha256:60bb76789c572fe726c10275275e6eec21f50433e7f655fd1575cefce4ec5fe3
mkl_random Linux Python 3.11
357 KB
sha256:1ec08829e0fb0b6b624294827eb31609174136ff1a8171609a6f2f8f6481c5bb
mkl_random Linux Python 3.12
352 KB
sha256:bcba509428fb7fc063628742d60bc82b6637c11e6abac2c60cb28254ea36a5eb
mkl_random Linux Python 3.13
354 KB
sha256:3a71e532543cef34ac7d92a77a7bb1369292815ea655d74bde6b5200a90c7ba9
mkl_random Linux Python 3.14
351 KB
sha256:1d360b0cc863dd663b75aa13b9b53f7683535f236cd5079275bb9474fc7798f9
mkl_random Windows Python 3.10
287 KB
sha256:1a7eb76252ee2d69349b002013111f0ae7775642e0dfde4d7fac9976bdfbe378
mkl_random Windows Python 3.11
295 KB
sha256:db5cc23dc7cc89ec95faa8f6097d6787816c50f52a2c1dd9f326090638c80788
mkl_random Windows Python 3.12
281 KB
sha256:646c8f1edaf23461e55d9319f8b1a9aec32415f48b5167c6d964f2f2c5f90b66
mkl_random Windows Python 3.13
286 KB
sha256:debb7b10fee48bbd7ee628cbf137990563aee2ddce36c33cca610281eba2fdd2
mkl_random Windows Python 3.14
281 KB
sha256:f387c9f529ab71ad0bfc3ca2ee4a53eee4b8280ebf349618669cad4627db4aa9