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Merge pull request #367 from vchamarthi/asv-branch #1194

Merge pull request #367 from vchamarthi/asv-branch

Merge pull request #367 from vchamarthi/asv-branch #1194

Triggered via push August 20, 2026 14:48
Status Success
Total duration 9m 58s
Artifacts 20
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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5 warnings
build_windows (3.12, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.13, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.11, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.14, 2.3)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html
build_windows (3.10, 2.2)
WARNING conda.conda_pypi.main:notify_externally_managed_future(156): Did you know? You can install many PyPI packages with conda using the conda-pypi beta. Get started: https://docs.conda.io/projects/conda/en/stable/new-features.html

Artifacts

Produced during runtime
Name Size Digest
mkl_fft Linux Python 3.10
160 KB
sha256:534bd9790466ecb0641406cee4d7430b0ef9cadf3367c8b839277c28db7b0511
mkl_fft Linux Python 3.11
187 KB
sha256:d6f021de79c5559c81325f438a3e82612f3a1b9dc33a04ddb0a005893c4b6a8e
mkl_fft Linux Python 3.12
185 KB
sha256:1e6345162dc18781132d0ad677d0c383a5fac445de2832f26561ef1d67dd1ce0
mkl_fft Linux Python 3.13
183 KB
sha256:da872fd0bd617351d67316dec68242ee4670ebe7bcf5caf6746b08d0762e3096
mkl_fft Linux Python 3.14
185 KB
sha256:a6cec986705193269eab34b6ef433f34e8a2f1d865b63db6182de3e3a3741f97
mkl_fft Linux Wheels Python 3.10
144 KB
sha256:053424a328aa44aff2f74be9255f68a8860f963b0d5acb4e5abe5ccbccb2419e
mkl_fft Linux Wheels Python 3.11
144 KB
sha256:c448170a846218443482bb417590c8595746d16cdb3b3f5c876c1fd8a611295c
mkl_fft Linux Wheels Python 3.12
147 KB
sha256:cbafa086ab118b965fa90e85495e730dac86398afd8a75dcb2c0f65a1d25d8ce
mkl_fft Linux Wheels Python 3.13
143 KB
sha256:b63ba70fdecee9d540938bad9273442bddccb7f0fd8902f5fa04004241076169
mkl_fft Linux Wheels Python 3.14
144 KB
sha256:29811856e57e533fc3b4d8e312b3750f213e848795d74e9205d67b4957c66214
mkl_fft Windows Python 3.10
144 KB
sha256:7b6328472fe2f71b3af09291bb0c8142b0bc19a3036df2abce7389e4d3dd5fc1
mkl_fft Windows Python 3.11
171 KB
sha256:85928114b9caf7ec63f238255c5260b1cb0939d7afb5898bc190fca8826ff0ca
mkl_fft Windows Python 3.12
165 KB
sha256:781174d9240d63762203d41bf6658ad53ed6643011d11731ff1859a9b67375bb
mkl_fft Windows Python 3.13
165 KB
sha256:4fb3b0fff7445d02cfedacda2169fd5a4b13b4087b31b0b0aaa195dca2118b69
mkl_fft Windows Python 3.14
167 KB
sha256:20c9e0ab894cbb7a138728d307c66d1fe93a9680e2734e32cc33f1c85063f3f1
mkl_fft Windows Wheels Python 3.10
126 KB
sha256:87779acf625627b03301d3b2405dfb3dfe621727283cf60a00060caf3f0c3c0e
mkl_fft Windows Wheels Python 3.11
126 KB
sha256:b8dd4d588d007706c9523cb2fbf0b24fdb1a3275b6493c262b0cdb8c551c734b
mkl_fft Windows Wheels Python 3.12
124 KB
sha256:981e02a3a3b97b12fb838c427aafa59ba11e5ef25f5042bfb0a0fc8384548f48
mkl_fft Windows Wheels Python 3.13
124 KB
sha256:c923a1209735aa6456f412dc13ce2074323c5352a9b99cc713130f5255defc40
mkl_fft Windows Wheels Python 3.14
124 KB
sha256:310db15bc150c81f015132fde7d4deafaa5dc6ebf4c0676fc13b5052ad0b5fbf