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Merge pull request #350 from IntelPython/start-2.4.0-dev-cycle #1143
conda-package.yml
on: push
Matrix: build_linux
Matrix: build_windows
Matrix: test_linux
Matrix: test_windows
Annotations
6 warnings
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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
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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
|
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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
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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
|
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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
|
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test_windows (3.14, numpy">=2", false, windows-latest)
warning libmamba Download error (35) SSL connect error [https://conda.anaconda.org/conda-forge/win-64/openssl-3.6.3-hf411b9b_0.conda]
Recv failure: Connection was reset
warning libmamba Retrying in 2 seconds
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Artifacts
Produced during runtime
| Name | Size | Digest | |
|---|---|---|---|
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mkl_fft Linux Python 3.10
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160 KB |
sha256:de07e11c5a028b73fdffe02cbba07086e775245dc921cce71c7c65f965ff7ea9
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mkl_fft Linux Python 3.11
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189 KB |
sha256:348353589c5fc2610088aa1b0e4d082c3c5751e6ed543d2295661cb9dc767b79
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mkl_fft Linux Python 3.12
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186 KB |
sha256:87d1af8256822a1b7817be01e02d3b66e9e032fca6c5644f267054f00322052e
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mkl_fft Linux Python 3.13
|
184 KB |
sha256:d16fdf9d012236a309ef4dcf05df32bb0a0307090aba2aa7dbdd4a2dd329e392
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mkl_fft Linux Python 3.14
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185 KB |
sha256:9af7752723b84f21228956e933b7aaed0518c1e191d7a97953eaaaf298238af2
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mkl_fft Linux Wheels Python 3.10
|
146 KB |
sha256:8676ef3d84ffe868d9663c030bdc6b1116b88befbbbac13bc109e4178f3e4449
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mkl_fft Linux Wheels Python 3.11
|
146 KB |
sha256:f2d1ff46ba92ee9ef9433fd0fadd5400445d35fe2a17c2bb6a6d3f1c62de528c
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mkl_fft Linux Wheels Python 3.12
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147 KB |
sha256:be1dd9325fe0c9d190af6b73726368148a4c68de96cb73b87c3acee68c22186b
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mkl_fft Linux Wheels Python 3.13
|
145 KB |
sha256:ea80e3334ead5fd3cfdd9f61536f442c34ded5bf110081ac47d44ebfa3d0cd57
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mkl_fft Linux Wheels Python 3.14
|
145 KB |
sha256:ad35211d6dcbbc5677425a9b3fa99bae9f1ec39c3f4e9185a7a543fb84473b02
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mkl_fft Windows Python 3.10
|
144 KB |
sha256:c6b087e26f1d6a548b407441268d6fe53e0d8a4b2e45c62eb688b64b124c8fe2
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mkl_fft Windows Python 3.11
|
172 KB |
sha256:3b7de9ba0e1f9e5871b6f198eb22fe8b3a9841f0a5fd52fa80342359c7d422e2
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mkl_fft Windows Python 3.12
|
166 KB |
sha256:59224eabf4b237544cfbe1dfcdb5242946c7267090b0d21ce2bb26ca92640895
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mkl_fft Windows Python 3.13
|
166 KB |
sha256:6b3e37820480074c37af0a3daa75d73b82bfb59b6b3b8755819d12f472e5aae9
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mkl_fft Windows Python 3.14
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167 KB |
sha256:5c578d264d6e3c3541cdac2c6d51bea9e92f35c8463510e85142b115a8046975
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mkl_fft Windows Wheels Python 3.10
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127 KB |
sha256:340d8a077c986fc0e7cfc23cc140f12afa667d6c1882a8cc29747f452a9831f5
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mkl_fft Windows Wheels Python 3.11
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127 KB |
sha256:7c400fb09208ba21f06799e3207fae7f059fc3bb0adb9858df2c51e3c9277e74
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mkl_fft Windows Wheels Python 3.12
|
125 KB |
sha256:06e313e89d8b79824083f7197f34834c88988c4f4367857dcb36e20805edb87a
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mkl_fft Windows Wheels Python 3.13
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125 KB |
sha256:d5ea4ba56d29f219fbaf82e337b95c1a082651d1b3b84e9165a26d933868b597
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mkl_fft Windows Wheels Python 3.14
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124 KB |
sha256:29015b149ca36eafe9f4a8969a313e269da6ca8897a03f01831b6deaa271c968
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