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Remove Windows numpy <2.4 pin from conda-forge recipe #772

Remove Windows numpy <2.4 pin from conda-forge recipe

Remove Windows numpy <2.4 pin from conda-forge recipe #772

Triggered via pull request July 8, 2026 22:18
Status Success
Total duration 13m 32s
Artifacts 10

conda-package.yml

on: pull_request
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
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5 warnings
build_windows (3.11, 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 (3.10, 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 (3.12, 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

Artifacts

Produced during runtime
Name Size Digest
mkl_umath Linux Python 3.10
168 KB
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mkl_umath Linux Python 3.11
177 KB
sha256:03c8f175aeae9e5b2a938371ebe4b70a23ca3362d6e58883de4cc7f306ef91f3
mkl_umath Linux Python 3.12
174 KB
sha256:b2ae53bf0bd049f7ce6e099d39926398398e9995ef5f98cd5237bdb96771ec78
mkl_umath Linux Python 3.13
174 KB
sha256:0d5a3722f5dc58abbc7f958ebf79d693a3df1972eda102b66695356eb8ac4b81
mkl_umath Linux Python 3.14
176 KB
sha256:78bb5ac5a43d73e5058b039ebc710dff4b9a919df05d376d102b163a02534caa
mkl_umath Windows Python 3.10
185 KB
sha256:e9e8e9f3587555065140d5acc50dee730f4c506f9b2e30a699d7db878bb3fc2e
mkl_umath Windows Python 3.11
197 KB
sha256:ca0d1137f05804ce17ea582e79ad2cdc7792e32ee142a1aa56e5e38b5043a6eb
mkl_umath Windows Python 3.12
195 KB
sha256:a2751c12b6decefcd8f5e637eaa200e23639f180318316f6783c47f1ff635172
mkl_umath Windows Python 3.13
195 KB
sha256:616ce63db56616fa82208cb809bedee1a67949185846c7d35f631055ae309975
mkl_umath Windows Python 3.14
197 KB
sha256:a3400427514a6993131d63958d3e636fa65ed6867d72ca4da94877701bd95511