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fix: norm scaling #1233

fix: norm scaling

fix: norm scaling #1233

Triggered via pull request September 16, 2026 16:55
Status Success
Total duration 8m 41s
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 (3.10, 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
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 (3.11, 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
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.
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 (3.11, 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 (3.12, 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.

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
199 KB
sha256:1e408b577c47168f06a89498bea3eb881a7143e7237124b3ff456fa6345373d4
mkl_fft Linux Python 3.12
195 KB
sha256:acaed226ace0e4650a013d45f32143dddc227c733357e7369095b91f518b2525
mkl_fft Linux Python 3.13
196 KB
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mkl_fft Linux Python 3.14
198 KB
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mkl_fft Linux Wheels Python 3.10
153 KB
sha256:e59e8b656ad69c9850fa1b82e7c4f696dfe733c08791c56920890a35e4c88a19
mkl_fft Linux Wheels Python 3.11
153 KB
sha256:ca455ba06556c2ec5bd454c3b5d45d4e73371c5bd4924f5f7769b8ba1ebbbc45
mkl_fft Linux Wheels Python 3.12
153 KB
sha256:5b135f2e6e5a297b302810fc18a03ee90311c5e2d2727e1365683224c836abf0
mkl_fft Linux Wheels Python 3.13
153 KB
sha256:869184d9ca88d81e59357fde80b34d173ca58cec4a6d3aa998a63f0b792d6576
mkl_fft Linux Wheels Python 3.14
153 KB
sha256:261d07c1ef2fa7ba9c9be76e0a810d40f457621e907808db552f5bc6196d117e
mkl_fft Windows Python 3.10
156 KB
sha256:dddd7c890bb18ba77c1c2b9752a36717445ed56ba2ad870381247c7ab1f61723
mkl_fft Windows Python 3.11
185 KB
sha256:8291d7500dd0961af1abf235eb683ae9327462d17c1e10fdc732e19187309749
mkl_fft Windows Python 3.12
179 KB
sha256:c429704dad2033c053330b480722b49710e3f7c8c315db01f017e21a0b882369
mkl_fft Windows Python 3.13
179 KB
sha256:09575a1605ef13e2427cfad0a9c26d3259a268cfaed6c6f453bab5eecf524a7e
mkl_fft Windows Python 3.14
180 KB
sha256:4816578855ab0af2a4b3657117cd8c535b82f2dd0d034dc06385a590d869b3c1
mkl_fft Windows Wheels Python 3.10
137 KB
sha256:1b0ce698b56025568ad59a6e8a6ecf4b73abb4dbfb14fcf88b80993dc96bfe41
mkl_fft Windows Wheels Python 3.11
136 KB
sha256:0e85035847fe49ecae297127237f773ca76af6a6c8b8866f60c37cefe9d9a6df
mkl_fft Windows Wheels Python 3.12
134 KB
sha256:1addf5be4d276a540d21ea432b191daf1d87ea619ef11e5602b0ccbbccf093ff
mkl_fft Windows Wheels Python 3.13
134 KB
sha256:aa5765a4790250c2b699ffa72f30e4e372c688a625cb9cc57e5e4586623d2789
mkl_fft Windows Wheels Python 3.14
134 KB
sha256:808fe7f6a8485ecfe267570f6dcab2c94dce1348bf0828ec8c4d7a09ce031a17