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Merge pull request #243 from IntelPython/drop-python-3.9 #735

Merge pull request #243 from IntelPython/drop-python-3.9

Merge pull request #243 from IntelPython/drop-python-3.9 #735

Triggered via push November 3, 2025 08:32
Status Success
Total duration 14m 21s
Artifacts 8
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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8 warnings
build_windows (3.11)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.12)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.13)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
build_windows (3.10)
EnvironmentNameNotFound: Could not find conda environment: build You can list all discoverable environments with `conda info --envs`.
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`.
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)
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)
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
154 KB
sha256:e60ce43bb22c4b54a0bd4e6ba6604e71f27979c17df11a98eefc6c68c4237f0a
mkl_fft Linux Python 3.11
180 KB
sha256:0422c3c22c722043fd0dd7305018f380feabb63160b02513faccce2d503fed31
mkl_fft Linux Python 3.12
174 KB
sha256:51fdee08297eb6c568e45e96f2918bc7e802694c80d1fb4d594b0cda228695eb
mkl_fft Linux Python 3.13
174 KB
sha256:15326f79f56d9a70d033adbe950e0007c5a6e2bf659ac968fd3b694b13a6e4fc
mkl_fft Windows Python 3.10
139 KB
sha256:a3a9b5627abba52f01399f79d2751f307cd8f18cb33ccd909ee0f54bce3c6066
mkl_fft Windows Python 3.11
163 KB
sha256:d0e7bd6d5ce7d9c0df86ffb394b44ee04d333bdb0d13228c9391bc95814460b4
mkl_fft Windows Python 3.12
158 KB
sha256:5520bfee9c9f8b0e5b87d14d20e4a5c542e7560fa1cb52054ab32cbc512bf4c2
mkl_fft Windows Python 3.13
158 KB
sha256:fbb843c30d5710ac47a420284fbab7b5ff57b15704fa0ba4de1c06bcc626ad19