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Align conda-forge recipe with normal recipe #864

Align conda-forge recipe with normal recipe

Align conda-forge recipe with normal recipe #864

Triggered via pull request March 6, 2026 06:23
Status Success
Total duration 15m 2s
Artifacts 10

conda-package.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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10 warnings
test_windows (3.13, false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
test_windows (3.13, false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft You can list all discoverable environments with `conda info --envs`.
test_windows (3.12, false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
test_windows (3.12, false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft You can list all discoverable environments with `conda info --envs`.
test_windows (3.14, false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
test_windows (3.14, false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft You can list all discoverable environments with `conda info --envs`.
test_windows (3.11, false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
test_windows (3.11, false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft You can list all discoverable environments with `conda info --envs`.
test_windows (3.10, false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
test_windows (3.10, false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft You can list all discoverable environments with `conda info --envs`.

Artifacts

Produced during runtime
Name Size Digest
mkl_fft Linux Python 3.10
157 KB
sha256:4244c2b32f60be587f09ece6ae1dd899d59e81b035ce2bb153986903443d1bbd
mkl_fft Linux Python 3.11
182 KB
sha256:858de096ac81e2188d0ee09b2fd6b5a6b9054f09af2d257fdf4770db6d2bc179
mkl_fft Linux Python 3.12
178 KB
sha256:1b40b8305a75d181ed0697939a298050080aaa4a3a967a3ad8b18e493838048b
mkl_fft Linux Python 3.13
177 KB
sha256:4cde8b651f587bd35fdd453f756aff74885a7d41e07ddb518b83143715631332
mkl_fft Linux Python 3.14
178 KB
sha256:1cf2a1f3b1f6e71cc13a0936e6f0cfbc18074dec9e8e9b09575af979452a4d9c
mkl_fft Windows Python 3.10
143 KB
sha256:8e0c7b5609b45c772e7559f739bf45f47542defd74089370ae4aa0286f956d26
mkl_fft Windows Python 3.11
167 KB
sha256:28c2db090a0b48e6e8db5a10669dd8daed03f66bcc06ddaa1375304cb9ece9ca
mkl_fft Windows Python 3.12
163 KB
sha256:313fa3f08e858f33b858d46f3d2575a335f56db4b172f889bee46ecfbfa0ae1a
mkl_fft Windows Python 3.13
162 KB
sha256:5cc45e2267e62351c0b3c7b8b76090ba48e5d06ca6a63fb0f3bed81cccdf9690
mkl_fft Windows Python 3.14
164 KB
sha256:a4950dee05c265544336d6d865d57839c19393c5ddcbcb23ffe60b926c7544ac