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ogrisellesteve
andauthored
MAINT unpin cython in CI config (#27627)
Co-authored-by: Loïc Estève <loic.esteve@ymail.com>
1 parent fb6b9f5 commit b22c706

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build_tools/azure/debian_atlas_32bit_lock.txt

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#
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attrs==23.1.0
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# via pytest
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coverage==7.3.0
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coverage==7.3.2
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# via pytest-cov
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cython==0.29.36
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cython==0.29.33
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# via -r build_tools/azure/debian_atlas_32bit_requirements.txt
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iniconfig==2.0.0
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# via pytest
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joblib==1.1.1
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# via -r build_tools/azure/debian_atlas_32bit_requirements.txt
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packaging==23.1
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packaging==23.2
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# via pytest
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pluggy==1.3.0
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# via pytest

build_tools/azure/debian_atlas_32bit_requirements.txt

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# DO NOT EDIT: this file is generated from the specification found in the
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# following script to centralize the configuration for CI builds:
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# build_tools/update_environments_and_lock_files.py
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cython<3.0.0
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cython==0.29.33 # min
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joblib==1.1.1 # min
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threadpoolctl==2.2.0
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pytest==7.1.2 # min

build_tools/azure/py38_conda_defaults_openblas_environment.yml

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- numpy=1.17.3 # min
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- blas[build=openblas]
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- scipy=1.5.0 # min
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- cython<3.0.0
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- cython=0.29.33 # min
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- joblib
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- threadpoolctl=2.2.0
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- matplotlib=3.3.4 # min

build_tools/azure/py38_conda_defaults_openblas_linux-64_conda.lock

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# Generated by conda-lock.
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# platform: linux-64
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# input_hash: 8ab29d5bd10968567d77fd3563ef1c61a10907318ccab81f9e3703588aa4dfd6
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# input_hash: 59b748d4b41a3e69462c0c657961aebaa5b15bc3caad670dff038296fa151c6e
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@EXPLICIT
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https://repo.anaconda.com/pkgs/main/linux-64/_libgcc_mutex-0.1-main.conda#c3473ff8bdb3d124ed5ff11ec380d6f9
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https://repo.anaconda.com/pkgs/main/linux-64/blas-1.0-openblas.conda#9ddfcaef10d79366c90128f5dc444be8
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https://repo.anaconda.com/pkgs/main/linux-64/icu-58.2-he6710b0_3.conda#48cc14d5ad1a9bcd8dac17211a8deb8b
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https://repo.anaconda.com/pkgs/main/linux-64/jpeg-9e-h5eee18b_1.conda#ac373800fda872108412d1ccfe3fa572
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https://repo.anaconda.com/pkgs/main/linux-64/lerc-3.0-h295c915_0.conda#b97309770412f10bed8d9448f6f98f87
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https://repo.anaconda.com/pkgs/main/linux-64/libdeflate-1.17-h5eee18b_0.conda#b4891fa07ca4cad1c53a0d0e539482da
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https://repo.anaconda.com/pkgs/main/linux-64/libdeflate-1.17-h5eee18b_1.conda#82831ef0b6c9595382d74e0c281f6742
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https://repo.anaconda.com/pkgs/main/linux-64/libffi-3.4.4-h6a678d5_0.conda#06e288f9250abef59b9a367d151fc339
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https://repo.anaconda.com/pkgs/main/linux-64/libopenblas-0.3.18-hf726d26_0.conda#10422bb3b9b022e27798fc368cda69ba
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https://repo.anaconda.com/pkgs/main/linux-64/libuuid-1.41.5-h5eee18b_0.conda#4a6a2354414c9080327274aa514e5299
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https://repo.anaconda.com/pkgs/main/linux-64/libpq-12.15-hdbd6064_1.conda#218227d255f6056b6f49f52dd0d1731f
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https://repo.anaconda.com/pkgs/main/linux-64/libwebp-1.3.2-h11a3e52_0.conda#9e0d6c9abdd97b076c66d4cf488589ee
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https://repo.anaconda.com/pkgs/main/linux-64/nss-3.89.1-h6a678d5_0.conda#4d9d28fc3a0ca4916f281d2f5429ac50
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https://repo.anaconda.com/pkgs/main/linux-64/openjpeg-2.4.0-h3ad879b_0.conda#86baecb47ecaa7f7ff2657a1f03b90c9
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https://repo.anaconda.com/pkgs/main/linux-64/python-3.8.18-h955ad1f_0.conda#fa35c1028f48db26df051ee75dd9422f
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https://repo.anaconda.com/pkgs/main/linux-64/certifi-2023.7.22-py38h06a4308_0.conda#59416ad8979a654bb8f5184b62d8a9e7
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https://repo.anaconda.com/pkgs/main/noarch/cycler-0.11.0-pyhd3eb1b0_0.conda#f5e365d2cdb66d547eb8c3ab93843aab
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https://repo.anaconda.com/pkgs/main/linux-64/cython-0.29.36-py38h5eee18b_0.conda#0465e461450c86b395da9ccc3853d7dc
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https://repo.anaconda.com/pkgs/main/linux-64/cython-0.29.33-py38h6a678d5_0.conda#eb105388ba8bcf5ce82cf4cd5deeb5f9
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https://repo.anaconda.com/pkgs/main/linux-64/exceptiongroup-1.0.4-py38h06a4308_0.conda#db954e73dca6076c64a1004d71b45784
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https://repo.anaconda.com/pkgs/main/noarch/execnet-1.9.0-pyhd3eb1b0_0.conda#f895937671af67cebb8af617494b3513
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https://repo.anaconda.com/pkgs/main/noarch/iniconfig-1.1.1-pyhd3eb1b0_0.tar.bz2#e40edff2c5708f342cef43c7f280c507
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https://repo.anaconda.com/pkgs/main/linux-64/mysql-5.7.24-h721c034_2.conda#dfc19ca2466d275c4c1f73b62c57f37b
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https://repo.anaconda.com/pkgs/main/linux-64/numpy-base-1.17.3-py38h2f8d375_0.conda#40edbb76ecacefb1e6ab639b514822b1
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https://repo.anaconda.com/pkgs/main/linux-64/packaging-23.1-py38h06a4308_0.conda#9ec9b6ee22dad7f49806c51218befd5b
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https://repo.anaconda.com/pkgs/main/linux-64/pillow-9.4.0-py38h6a678d5_1.conda#3cc4f7f7c7ca5d7a5c5f26ad5425d8ef
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https://repo.anaconda.com/pkgs/main/linux-64/pillow-10.0.1-py38ha6cbd5a_0.conda#a27702df8dc6874ab9baeef7ffb565f3
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https://repo.anaconda.com/pkgs/main/linux-64/pluggy-1.0.0-py38h06a4308_1.conda#87bb1d3f6cf3e409a1dac38cee99918e
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https://repo.anaconda.com/pkgs/main/linux-64/ply-3.11-py38_0.conda#d6a69c576c6e4d19e3074eaae3d149f2
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https://repo.anaconda.com/pkgs/main/noarch/py-1.11.0-pyhd3eb1b0_0.conda#7205a898ed2abbf6e9b903dff6abe08e
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https://repo.anaconda.com/pkgs/main/noarch/threadpoolctl-2.2.0-pyh0d69192_0.conda#bbfdbae4934150b902f97daaf287efe2
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https://repo.anaconda.com/pkgs/main/noarch/toml-0.10.2-pyhd3eb1b0_0.conda#cda05f5f6d8509529d1a2743288d197a
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https://repo.anaconda.com/pkgs/main/linux-64/tomli-2.0.1-py38h06a4308_0.conda#791cce9de9913e9587b0a85cd8419123
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https://repo.anaconda.com/pkgs/main/linux-64/tornado-6.3.2-py38h5eee18b_0.conda#276225b0c9533f993c5d71ac01e72ddf
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https://repo.anaconda.com/pkgs/main/linux-64/tornado-6.3.3-py38h5eee18b_0.conda#8030fb73590f8370a558f783b4f9f030
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https://repo.anaconda.com/pkgs/main/linux-64/coverage-7.2.2-py38h5eee18b_0.conda#a05c1732d4e67102d2aa8d7e56de778b
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https://repo.anaconda.com/pkgs/main/linux-64/numpy-1.17.3-py38h7e8d029_0.conda#5f2b196b515f8fe6b37e3d224650577d
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https://repo.anaconda.com/pkgs/main/linux-64/pytest-7.4.0-py38h06a4308_0.conda#ba6c58ef1c6ba5247ccc17d41fdd71e5

build_tools/azure/py38_conda_forge_mkl_environment.yml

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- numpy
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- blas[build=mkl]
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- scipy
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- cython<3.0.0
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- cython
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- joblib
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- threadpoolctl
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- matplotlib

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