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fix: norm scaling #1232

fix: norm scaling

fix: norm scaling #1232

Triggered via pull request September 16, 2026 16:28
Status Success
Total duration 11m 8s
Artifacts 20

conda-package.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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10 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 (3.11, 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
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
test_windows (3.11, numpy">=2", false, windows-latest)
warning libmamba Security Warning: This transaction includes executing package scripts (pre/post-link/unlink) if present. These scripts can contain arbitrary code. Please ensure you trust the package sources.
test_windows (3.13, numpy">=2", false, windows-latest)
warning libmamba Security Warning: This transaction includes executing package scripts (pre/post-link/unlink) if present. These scripts can contain arbitrary code. Please ensure you trust the package sources.
test_windows (3.12, numpy">=2", false, windows-latest)
warning libmamba Security Warning: This transaction includes executing package scripts (pre/post-link/unlink) if present. These scripts can contain arbitrary code. Please ensure you trust the package sources.
test_windows (3.10, numpy">=2", false, windows-latest)
warning libmamba Security Warning: This transaction includes executing package scripts (pre/post-link/unlink) if present. These scripts can contain arbitrary code. Please ensure you trust the package sources.
test_windows (3.14, numpy">=2", false, windows-latest)
warning libmamba Security Warning: This transaction includes executing package scripts (pre/post-link/unlink) if present. These scripts can contain arbitrary code. Please ensure you trust the package sources.

Artifacts

Produced during runtime
Name Size Digest
mkl_fft Linux Python 3.10
170 KB
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mkl_fft Linux Python 3.11
200 KB
sha256:f0db8319365775df30d23fe9ddb9bef96a4b44b5fde31ca394b97a9d89628136
mkl_fft Linux Python 3.12
195 KB
sha256:7e295b8e4325fb65c69cde67b82ffd74e97fa8606641490e5468fdfd2da828cd
mkl_fft Linux Python 3.13
196 KB
sha256:ed83f40330841e567c180fcef04aaf3a52d7242da991fc7b62221fe45633dd75
mkl_fft Linux Python 3.14
198 KB
sha256:f79204d77ad5e44755c5f2cd1492d71df8ada5c38487b3ea2f3ae1c9f56d4dc0
mkl_fft Linux Wheels Python 3.10
153 KB
sha256:aaef47c5022e8c98d2bbb54200be780431f61ab80581a5c3f7b6faa8bb72c2df
mkl_fft Linux Wheels Python 3.11
153 KB
sha256:142809d25d8e4c81b80d7483c1bc150fb57300de2d855a24bec0cfc86ab2ccff
mkl_fft Linux Wheels Python 3.12
153 KB
sha256:1b5a38fdbf5c404d0a12f99f82824d99582969fdce5665b9b66ee341b7d33051
mkl_fft Linux Wheels Python 3.13
153 KB
sha256:0a94e97f294ab389585dd428bb3c91d677d345d92f7874967b596c824e99b93d
mkl_fft Linux Wheels Python 3.14
153 KB
sha256:0af2c687a966f690fb125399b4d8ecc3e33365adc77ea682cc29afc89266b02a
mkl_fft Windows Python 3.10
155 KB
sha256:e290eff92f6a424ae6abf37d5d34b5b25135fa29a79e7e82b28644c8ec08863a
mkl_fft Windows Python 3.11
186 KB
sha256:51e80066cabe03d85aba2db7d1bae8fec40c29461789432bebeb7a415aad60d8
mkl_fft Windows Python 3.12
179 KB
sha256:04041f82eb4cecc120580017ae8484c4b236598d1219445161f01bbab42b5cb2
mkl_fft Windows Python 3.13
179 KB
sha256:d4ddbb5325ef31f1e83601ca83ee99f5040037d8068da200ecf638e6e8366b35
mkl_fft Windows Python 3.14
180 KB
sha256:98d2e09fe1319a6727681058194c432c8d15a4d1261668f7728272ea34c54a08
mkl_fft Windows Wheels Python 3.10
137 KB
sha256:3d457b268f6870c5f82945cac85e26f768e6f3b79330680e5796f37a52c648ae
mkl_fft Windows Wheels Python 3.11
136 KB
sha256:0e392738988e74e3dad9a381d855137fcd7ec15a14c17e01dbe46dde4f7fb92e
mkl_fft Windows Wheels Python 3.12
134 KB
sha256:12dc940df1ec53ea035e41b59c8a269a89dd21e94aafd7785eeee06ba7fbb7c6
mkl_fft Windows Wheels Python 3.13
134 KB
sha256:33d4403ed8fcdf1123ecef72047cb10a94c06f0da848ff96738a0d2eeb832520
mkl_fft Windows Wheels Python 3.14
134 KB
sha256:041e2c1c032242ea3fd8a963435d338052ce20b751ab3ecd9a9136c7c59fff09