Skip to content

take fast path if c2c transform does not need padding or trimming #703

take fast path if c2c transform does not need padding or trimming

take fast path if c2c transform does not need padding or trimming #703

Re-run triggered March 6, 2026 17:35
Status Success
Total duration 13m 36s
Artifacts 10

conda-package-cf.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Fit to window
Zoom out
Zoom in

Annotations

20 warnings
build_windows (3.10, 2.2)
ERROR: 'conda activate "build"' exited with code 1.
build_windows (3.10, 2.2)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.13, 2.3)
ERROR: 'conda activate "build"' exited with code 1.
build_windows (3.13, 2.3)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.11, 2.3)
ERROR: 'conda activate "build"' exited with code 1.
build_windows (3.11, 2.3)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.14, 2.3)
ERROR: 'conda activate "build"' exited with code 1.
build_windows (3.14, 2.3)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.12, 2.3)
ERROR: 'conda activate "build"' exited with code 1.
build_windows (3.12, 2.3)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
test_windows (3.14, numpy">=2", false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
test_windows (3.14, numpy">=2", false, windows-latest)
EnvironmentNameNotFound: Could not find conda environment: test_mkl_fft You can list all discoverable environments with `conda info --envs`.
test_windows (3.13, numpy">=2", false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
test_windows (3.13, numpy">=2", 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, numpy">=2", false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
test_windows (3.11, numpy">=2", 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, numpy">=2", false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
test_windows (3.12, numpy">=2", 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, numpy">=2", false, windows-latest)
ERROR: 'conda activate "test_mkl_fft"' exited with code 1.
test_windows (3.10, numpy">=2", 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
sha256:1464abf716484e0eb2ef6fa58eb8393139dd90d301a78203c63b1c16494d8446
mkl_fft Linux Python 3.11
181 KB
sha256:c4404f438449b426bb8d0a0adf1960b8e35753940e2629ca4328a9423f3949d8
mkl_fft Linux Python 3.12
178 KB
sha256:e4c7b5870e99d2f695b5cbff35e122dfc1605f75e8c7af91dffa14bcca41ad7e
mkl_fft Linux Python 3.13
177 KB
sha256:3078e616c603dde59d3e36d1481b4ef5930a33ad06bca36907bce8b96c426240
mkl_fft Linux Python 3.14
179 KB
sha256:8b3ea1784a4289a475bc76130fb192cf6d7b331757d6792ff56a8c31d2812a05
mkl_fft Windows Python 3.10
142 KB
sha256:44a52ed15dee865f0a4a2605f83e88cc6db80a12e98698254cfeb7333feb7cd7
mkl_fft Windows Python 3.11
167 KB
sha256:6fba06040b4a3dd4e13efbca472a357283846664f6830e7af5937a7e4b36559d
mkl_fft Windows Python 3.12
162 KB
sha256:0830b8080f6d0e8358e5529a6e38c7508dc65831804f21c2a4beb9d1c955a894
mkl_fft Windows Python 3.13
163 KB
sha256:147ef9116f275d109c091a659d3f4d31275e5cfbe3b3935254452fe10af9d1fe
mkl_fft Windows Python 3.14
164 KB
sha256:6612c0d797e6f96bcccaf2cbb38f25c806f0708b70fa225a30f0dfccf0edf59f