Merge pull request #269 from vchamarthi/fix/absolute-nan #880
conda-package.yml
on: push
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Annotations
12 warnings
|
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, 3.14.* *_cp314t, 3.14t)
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 (3.14, 2.3, 3.14.* *_cp314, 3.14)
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 (3.11, 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 (3.14, numpy">=2", false, windows-latest, 3.14.* *_cp314, 3.14)
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 (3.13, 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 (3.14, numpy">=2", false, windows-latest, 3.14.* *_cp314t, 3.14t)
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.
|
Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
|
mkl_umath Linux Python 3.10
|
126 KB |
sha256:fd5c1baa939f2702320efb55fd18f40ce39d110ec819eff7d5356d0a190d55ec
|
|
|
mkl_umath Linux Python 3.11
|
131 KB |
sha256:5b33fbb6c63f2635b6a5094f6dd281527f546a26fba89e95501ca081e7edba4f
|
|
|
mkl_umath Linux Python 3.12
|
130 KB |
sha256:244be6d44325f5989eb1fd0b92e99cc6a0038b509ef9836c898396c669b78a64
|
|
|
mkl_umath Linux Python 3.13
|
130 KB |
sha256:c2c84cc851975d2e2b2cb46b8afeef845dffce73d3412fb27d347ed9b3c2bc65
|
|
|
mkl_umath Linux Python 3.14
|
131 KB |
sha256:a7b651adf8bd79db2f4af374296b3742bde9de94ea67feaaf55c1fa3c097907b
|
|
|
mkl_umath Linux Python 3.14t
|
133 KB |
sha256:571b54c8628b1c42f55ada93475048ef79f10b862c8dcdf14e2709a760910424
|
|
|
mkl_umath Linux Wheels Python 3.10
|
136 KB |
sha256:ed06aef398d07cf98f1801d5ae92be3bad0c5cb830465541605e7c89c1641ef7
|
|
|
mkl_umath Linux Wheels Python 3.11
|
136 KB |
sha256:f68f2628b05bcdaa23e4e484683d430fcad723a34b0f3635c5366e9fcd7665b4
|
|
|
mkl_umath Linux Wheels Python 3.12
|
136 KB |
sha256:c69a0eef69bfa7b6a4d8288066766fce6459c4fb7438c6d03674048312dd0d23
|
|
|
mkl_umath Linux Wheels Python 3.13
|
135 KB |
sha256:fb186f4e8e43319142028a32acd1a21b280405d1d3480a9a8e8042c0d3ebf010
|
|
|
mkl_umath Linux Wheels Python 3.14
|
136 KB |
sha256:c7c0be4aa557872491ddc0c4351bc59d5df679dca08ee9e69fcbd8bae87c02fa
|
|
|
mkl_umath Linux Wheels Python 3.14t
|
140 KB |
sha256:2d53b7ccd54c3147be7a60733c8565dfc8176f9f94154e7295d5618c35068f7f
|
|
|
mkl_umath Windows Python 3.10
|
144 KB |
sha256:f62acf153713f075d75f10aabb1455c53c181cd564b068fc0ea96cd1f92b6be6
|
|
|
mkl_umath Windows Python 3.11
|
149 KB |
sha256:ef28ffeedff2b8cfa4e2576f3a4a67ed2581c066bf39bda467e099e376953193
|
|
|
mkl_umath Windows Python 3.12
|
147 KB |
sha256:b4b133e1e42c067cd56c835bbc9b6eabf04b0c1ea4a44fd4aa43b33bbe918270
|
|
|
mkl_umath Windows Python 3.13
|
148 KB |
sha256:2c9884964932ed7f3eae1e3cf6931b0e48056e82e8477a8edae4610962e680a1
|
|
|
mkl_umath Windows Python 3.14
|
148 KB |
sha256:c11b240ce1ab795ca72e54f95affdd5ebe0988f55f2044cd8601dd0f3c48c809
|
|
|
mkl_umath Windows Python 3.14t
|
154 KB |
sha256:a3fbaefd26f875709db6ef1ed40f7e93a9b1db64e16f0c5384a8d3a8e2ce0654
|
|
|
mkl_umath Windows Wheels Python 3.10
|
161 KB |
sha256:490d6f50f822bcdc15cf6ebec70debff0fc0a76ade48da4813feb87fa4c61e5c
|
|
|
mkl_umath Windows Wheels Python 3.11
|
160 KB |
sha256:54128f3a7749d9b60a603e82943bb19c12050d7a3cb626c479e8d2845039f823
|
|
|
mkl_umath Windows Wheels Python 3.12
|
160 KB |
sha256:d43bff42c6f676e8a64461eae0d7fd975b2f41b2ef02c51e190315c99f032910
|
|
|
mkl_umath Windows Wheels Python 3.13
|
159 KB |
sha256:4df5109ab6f471ea1948160010e99469212adc6ca5a9a3e037207c4f0ef52585
|
|
|
mkl_umath Windows Wheels Python 3.14
|
160 KB |
sha256:3c26e30d974745eeaabba699981b0b30d48c820bf4aada41955853898aa2678c
|
|
|
mkl_umath Windows Wheels Python 3.14t
|
166 KB |
sha256:a68700b28715c9425f09a6d661c4d619ef5ca41cbb0dbee986fcacee90eae3e0
|
|