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task: add patch methods for mkl_random #222

task: add patch methods for mkl_random

task: add patch methods for mkl_random #222

Triggered via pull request March 6, 2026 13:46
Status Failure
Total duration 13m 5s
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 (3.13, 2.3)
Process completed with exit code 1.
test_linux (3.10, 2.2)
The strategy configuration was canceled because "test_linux._3_13_2_3" failed
test_linux (3.10, 2.2)
The operation was canceled.
test_linux (3.14, 2.3)
The strategy configuration was canceled because "test_linux._3_13_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_13_2_3" failed
test_linux (3.11, 2.3)
The operation was canceled.
test_linux (3.12, 2.3)
The strategy configuration was canceled because "test_linux._3_13_2_3" failed
test_linux (3.12, 2.3)
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)
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.
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.

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
346 KB
sha256:558e546e6bc83c0bb6b00a50939d181945a320e0cc91235326ed1aaeb6abd78b
mkl_random Linux Python 3.11
358 KB
sha256:be2e79e6ed56be4b917ee566a4f54f825cd97903a93b9ed9d81fcdc16d91e6e7
mkl_random Linux Python 3.12
352 KB
sha256:bfd6309722a634601a37355279235963395531fa04221b95f14616c6eba167b6
mkl_random Linux Python 3.13
356 KB
sha256:394802d0f398d15b56272a87bfdbe1ef8d499e939a777cfd8dbc8bdd134c382e
mkl_random Linux Python 3.14
351 KB
sha256:3fa9570eab79a80be6d1af28eefdc8be0c38c1a6959bf03bad42d4ddced2896a
mkl_random Windows Python 3.10
287 KB
sha256:2d1801bf557eff7c54b2fd95f4e7c9c11bdbd5e95298b11247ade61542a9dda0
mkl_random Windows Python 3.11
299 KB
sha256:74e586a3a7cd817f2e7cebe5cd6132692e1306e295fa8a7960a2da1e9525378f
mkl_random Windows Python 3.12
282 KB
sha256:5c3330063d174eba4387f71cdec9d4b55faef6ee0081419d9662901d3fc70bcd
mkl_random Windows Python 3.13
283 KB
sha256:98df8fcc1ce0e3cb55eef1978c885ddf87a6758de7658b9250f0b0b5e43723cc
mkl_random Windows Python 3.14
283 KB
sha256:911132472baa308d81f62dbd10a5a96139a267163e24496097009abe02804ac3