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Remove Windows numpy <2.4 pin from conda-forge recipe #158

Remove Windows numpy <2.4 pin from conda-forge recipe

Remove Windows numpy <2.4 pin from conda-forge recipe #158

Triggered via pull request July 8, 2026 22:18
Status Success
Total duration 10m 59s
Artifacts 10

conda-package-cf.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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5 warnings
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 (3.10, 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 (3.12, 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

Artifacts

Produced during runtime
Name Size Digest
mkl_umath Linux Python 3.10
167 KB
sha256:6c713559288f2f052df8432bd25e975643c429520c1422830d35c04270c7c23c
mkl_umath Linux Python 3.11
176 KB
sha256:639d9cd9f6b497272866dc63797a35600e6b1fc6ee9166cfc7fb8fb1bbfc40f0
mkl_umath Linux Python 3.12
175 KB
sha256:1ad9960e8b277b7a6b9925745898868f8c1b4e1b9b0cfe3415dd0f103dbb4c89
mkl_umath Linux Python 3.13
175 KB
sha256:9aff3bb9f5838cc3ad225781441f5536e6ad9b7072e46dc77b18d2990ea3af9f
mkl_umath Linux Python 3.14
175 KB
sha256:4cb207db6360cd988269c96ebb91db98169bc333c1b05f9428461861aaf7187c
mkl_umath Windows Python 3.10
186 KB
sha256:c9bcd6e21ae9c8bf7e0bd49f46033884cff52b0c5ce5b8e43b5e5eedce050d5a
mkl_umath Windows Python 3.11
198 KB
sha256:dfe2a42a07906c4a2095f90234d358204955484aa9e00f23b752a9745171f8cf
mkl_umath Windows Python 3.12
194 KB
sha256:1762d4ffef97b2619e7b1585b276a3297adfce8159a29a5d4f3889443a53b98e
mkl_umath Windows Python 3.13
196 KB
sha256:64e73fff49a55c30ed9f60175362b3f7d2fb43201bb40de82000869e658631ee
mkl_umath Windows Python 3.14
195 KB
sha256:74719c642438588e43040fe4c90f07a9f8676edb9bb251753c735ffc6ea4748a