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task: add patch methods for mkl_random #227

task: add patch methods for mkl_random

task: add patch methods for mkl_random #227

Triggered via pull request March 6, 2026 14:27
Status Failure
Total duration 10m 45s
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 (3.11, 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_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_windows (3.14, 2.3)
Process completed with exit code 1.
test_windows (3.11, 2.3)
The strategy configuration was canceled because "test_windows._3_14_2_3" failed
test_windows (3.11, 2.3)
The operation was canceled.
test_windows (3.12, 2.3)
The strategy configuration was canceled because "test_windows._3_14_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_14_2_3" failed
test_windows (3.10, 2.2)
The operation was canceled.
test_windows (3.13, 2.3)
The strategy configuration was canceled because "test_windows._3_14_2_3" failed
test_windows (3.13, 2.3)
The operation was canceled.

Artifacts

Produced during runtime
Name Size Digest
mkl_random Linux Python 3.10
346 KB
sha256:ec9c7a0a409ec0728d231560d87517b992b3ef7056a1f0df5fc11df80621b946
mkl_random Linux Python 3.11
358 KB
sha256:9c75589ab44380926db911d34cdfb8efd0c0dafee52029e3d791210de0282e05
mkl_random Linux Python 3.12
351 KB
sha256:fd7261395adfe52fd916dcfe08a271f2a30e44aafe2acb2558ad53177bdff14d
mkl_random Linux Python 3.13
354 KB
sha256:604cf4d486578ccbf1a046c042c4fc8b5d5ac0a682a63aa23e121085bbba6c39
mkl_random Linux Python 3.14
351 KB
sha256:215f26f87bb614f1a0e242c2bd122ca67a677ede6489af7513e54c3a736d8d23
mkl_random Windows Python 3.10
283 KB
sha256:5dce27ee1d7a788c43e1fcabca432d829ce25611115a099d12ee99c7de87eb10
mkl_random Windows Python 3.11
296 KB
sha256:736973b5a7d17eeccd58301e1b110d8ed02e1a7db5e5e012c0425261de138db3
mkl_random Windows Python 3.12
281 KB
sha256:7690597d2368039f5a58bffd1e594987bfe750d2cd688b7cda0e72d4edbda1c9
mkl_random Windows Python 3.13
282 KB
sha256:f34e4dc669e891f7a6f32ca4ad605483a873958dbbf15685fce8926520569079
mkl_random Windows Python 3.14
282 KB
sha256:643a7ff90458fb308c086a140c3fe341597761c72e2dc09c72f4daf9f29fe847