diff --git a/README.rst b/README.rst index 68438ceb2f836..95cef784847ab 100644 --- a/README.rst +++ b/README.rst @@ -41,7 +41,7 @@ .. |Scikit-ImageMinVersion| replace:: 0.16.2 .. |PandasMinVersion| replace:: 1.0.5 .. |SeabornMinVersion| replace:: 0.9.0 -.. |PytestMinVersion| replace:: 5.4.3 +.. |PytestMinVersion| replace:: 7.1.2 .. |PlotlyMinVersion| replace:: 5.10.0 .. image:: https://raw.githubusercontent.com/scikit-learn/scikit-learn/main/doc/logos/scikit-learn-logo.png diff --git a/build_tools/azure/debian_atlas_32bit_lock.txt b/build_tools/azure/debian_atlas_32bit_lock.txt index 8aba1fbc37af4..a0149cf2582d0 100644 --- a/build_tools/azure/debian_atlas_32bit_lock.txt +++ b/build_tools/azure/debian_atlas_32bit_lock.txt @@ -10,17 +10,17 @@ coverage==7.2.5 # via pytest-cov cython==0.29.34 # via -r build_tools/azure/debian_atlas_32bit_requirements.txt +iniconfig==2.0.0 + # via pytest joblib==1.1.1 # via -r build_tools/azure/debian_atlas_32bit_requirements.txt -more-itertools==9.1.0 - # via pytest packaging==23.1 # via pytest -pluggy==0.13.1 +pluggy==1.0.0 # via pytest py==1.11.0 # via pytest -pytest==5.4.3 +pytest==7.1.2 # via # -r build_tools/azure/debian_atlas_32bit_requirements.txt # pytest-cov @@ -28,5 +28,5 @@ pytest-cov==2.9.0 # via -r build_tools/azure/debian_atlas_32bit_requirements.txt threadpoolctl==2.2.0 # via -r build_tools/azure/debian_atlas_32bit_requirements.txt -wcwidth==0.2.6 +tomli==2.0.1 # via pytest diff --git a/build_tools/azure/debian_atlas_32bit_requirements.txt b/build_tools/azure/debian_atlas_32bit_requirements.txt index f5f0c6a12ae56..83baf09b14093 100644 --- a/build_tools/azure/debian_atlas_32bit_requirements.txt +++ b/build_tools/azure/debian_atlas_32bit_requirements.txt @@ -4,5 +4,5 @@ cython joblib==1.1.1 # min threadpoolctl==2.2.0 -pytest==5.4.3 # min +pytest==7.1.2 # min pytest-cov==2.9.0 # min diff --git a/build_tools/azure/py38_conda_defaults_openblas_linux-64_conda.lock b/build_tools/azure/py38_conda_defaults_openblas_linux-64_conda.lock index 476b584dc4660..4ad92d60d202a 100644 --- a/build_tools/azure/py38_conda_defaults_openblas_linux-64_conda.lock +++ b/build_tools/azure/py38_conda_defaults_openblas_linux-64_conda.lock @@ -18,7 +18,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/icu-58.2-he6710b0_3.conda#48cc14d5a https://repo.anaconda.com/pkgs/main/linux-64/jpeg-9e-h5eee18b_1.conda#ac373800fda872108412d1ccfe3fa572 https://repo.anaconda.com/pkgs/main/linux-64/lerc-3.0-h295c915_0.conda#b97309770412f10bed8d9448f6f98f87 https://repo.anaconda.com/pkgs/main/linux-64/libdeflate-1.17-h5eee18b_0.conda#b4891fa07ca4cad1c53a0d0e539482da -https://repo.anaconda.com/pkgs/main/linux-64/libffi-3.4.2-h6a678d5_6.conda#6d65e299b535d3b3613b6d4bce901834 +https://repo.anaconda.com/pkgs/main/linux-64/libffi-3.4.4-h6a678d5_0.conda#06e288f9250abef59b9a367d151fc339 https://repo.anaconda.com/pkgs/main/linux-64/libopenblas-0.3.18-hf726d26_0.conda#10422bb3b9b022e27798fc368cda69ba https://repo.anaconda.com/pkgs/main/linux-64/libuuid-1.41.5-h5eee18b_0.conda#4a6a2354414c9080327274aa514e5299 https://repo.anaconda.com/pkgs/main/linux-64/libwebp-base-1.2.4-h5eee18b_1.conda#a65a20c48061ecf2a6f4f02eae9f2366 @@ -34,7 +34,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/ccache-3.7.9-hfe4627d_0.conda#bef6f https://repo.anaconda.com/pkgs/main/linux-64/glib-2.69.1-he621ea3_2.conda#51cf1899782b3f3744aedd143fbc07f3 https://repo.anaconda.com/pkgs/main/linux-64/libedit-3.1.20221030-h5eee18b_0.conda#7c724a17739aceaf9d1633ff06962137 https://repo.anaconda.com/pkgs/main/linux-64/libevent-2.1.12-h8f2d780_0.conda#8de03cd4b6ee0ddeb0571a5199db5637 -https://repo.anaconda.com/pkgs/main/linux-64/libllvm14-14.0.6-hdb19cb5_2.conda#7375f9b1508042456a73d34d5311433f +https://repo.anaconda.com/pkgs/main/linux-64/libllvm14-14.0.6-hdb19cb5_3.conda#aefea2b45cf32f12b4f1ffaa70aa3201 https://repo.anaconda.com/pkgs/main/linux-64/libpng-1.6.39-h5eee18b_0.conda#f6aee38184512eb05b06c2e94d39ab22 https://repo.anaconda.com/pkgs/main/linux-64/libxml2-2.10.3-hcbfbd50_0.conda#95357588631b66da8f97ddbfbdf2e4e1 https://repo.anaconda.com/pkgs/main/linux-64/readline-8.2-h5eee18b_0.conda#be42180685cce6e6b0329201d9f48efb diff --git a/build_tools/azure/py38_conda_forge_mkl_win-64_conda.lock b/build_tools/azure/py38_conda_forge_mkl_win-64_conda.lock index 5160d30cd7772..2c70d173a714e 100644 --- a/build_tools/azure/py38_conda_forge_mkl_win-64_conda.lock +++ b/build_tools/azure/py38_conda_forge_mkl_win-64_conda.lock @@ -2,7 +2,7 @@ # platform: win-64 # input_hash: d20b90a2fb34524e3b754ff7df81ecfd23ca81c25ec515df39bfd005501dca12 @EXPLICIT -https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2022.12.7-h5b45459_0.conda#31de4d9887dc8eaed9e6230a5dfbb9d6 +https://conda.anaconda.org/conda-forge/win-64/ca-certificates-2023.5.7-h56e8100_0.conda#604212634bd8c4d6f20d44b946e8eedb https://conda.anaconda.org/conda-forge/win-64/intel-openmp-2023.1.0-h57928b3_46319.conda#dbc4636f419722fbf3ab6501377228ba https://conda.anaconda.org/conda-forge/win-64/mkl-include-2022.1.0-h6a75c08_874.tar.bz2#414f6ab96ad71e7a95bd00d990fa3473 https://conda.anaconda.org/conda-forge/win-64/msys2-conda-epoch-20160418-1.tar.bz2#b0309b72560df66f71a9d5e34a5efdfa @@ -23,7 +23,7 @@ https://conda.anaconda.org/conda-forge/win-64/libffi-3.4.2-h8ffe710_5.tar.bz2#2c https://conda.anaconda.org/conda-forge/win-64/libiconv-1.17-h8ffe710_0.tar.bz2#050119977a86e4856f0416e2edcf81bb https://conda.anaconda.org/conda-forge/win-64/libjpeg-turbo-2.1.5.1-hcfcfb64_0.conda#f2fad2ae9f1365e343e4329fdb1e9d63 https://conda.anaconda.org/conda-forge/win-64/libogg-1.3.4-h8ffe710_1.tar.bz2#04286d905a0dcb7f7d4a12bdfe02516d -https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.40.0-hcfcfb64_1.conda#2832b5d2aa943a96b5046cfab01d2462 +https://conda.anaconda.org/conda-forge/win-64/libsqlite-3.41.2-hcfcfb64_1.conda#aa000e5bc50d73577a62b9f8c996a8dd https://conda.anaconda.org/conda-forge/win-64/libwebp-base-1.3.0-hcfcfb64_0.conda#381a3645c51cbf478872899b16490318 https://conda.anaconda.org/conda-forge/win-64/libzlib-1.2.13-hcfcfb64_4.tar.bz2#0cc5c5cc64ee1637f37f8540a175854c https://conda.anaconda.org/conda-forge/win-64/m2w64-gcc-libgfortran-5.3.0-6.tar.bz2#066552ac6b907ec6d72c0ddab29050dc @@ -43,7 +43,7 @@ https://conda.anaconda.org/conda-forge/win-64/pcre2-10.40-h17e33f8_0.tar.bz2#251 https://conda.anaconda.org/conda-forge/win-64/python-3.8.16-h4de0772_1_cpython.conda#461d9fc92cfde68f2ca7ef0988f6326a https://conda.anaconda.org/conda-forge/win-64/zstd-1.5.2-h12be248_6.conda#62826565682d013b3e2346aaf7bded0e https://conda.anaconda.org/conda-forge/win-64/brotli-bin-1.0.9-hcfcfb64_8.tar.bz2#e18b70ed349d96086fd60a9c642b1b58 -https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda#fb9addc3db06e56abe03e0e9f21a63e6 +https://conda.anaconda.org/conda-forge/noarch/certifi-2023.5.7-pyhd8ed1ab_0.conda#5d1b71c942b8421285934dad1d891ebc https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.1.0-pyhd8ed1ab_0.conda#7fcff9f6f123696e940bda77bd4d6551 https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2#3faab06a954c2a04039983f2c4a50d99 https://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2#a50559fad0affdbb33729a68669ca1cb @@ -98,12 +98,12 @@ https://conda.anaconda.org/conda-forge/win-64/tbb-2021.9.0-h91493d7_0.conda#6aa3 https://conda.anaconda.org/conda-forge/noarch/typing-extensions-4.5.0-hd8ed1ab_0.conda#b3c594fde1a80a1fc3eb9cc4a5dfe392 https://conda.anaconda.org/conda-forge/win-64/brotlipy-0.7.0-py38h91455d4_1005.tar.bz2#9fabc7fadfb37addbe91cc67c09cda69 https://conda.anaconda.org/conda-forge/win-64/cryptography-40.0.2-py38h95f5157_0.conda#62974553699b868509f8d85a1273828e -https://conda.anaconda.org/conda-forge/win-64/fonttools-4.39.3-py38h91455d4_0.conda#eec74f1e3ec48753699469abca2f7a06 +https://conda.anaconda.org/conda-forge/win-64/fonttools-4.39.4-py38h91455d4_0.conda#9eb3fd3d1aed8bc15853dd978d9abcdb https://conda.anaconda.org/conda-forge/win-64/glib-2.76.2-h12be248_0.conda#8ac805290141731de88dcacbb4c38762 https://conda.anaconda.org/conda-forge/noarch/importlib-resources-5.12.0-pyhd8ed1ab_0.conda#3544c818f0720c89eb16ae6940ab440b https://conda.anaconda.org/conda-forge/win-64/mkl-2022.1.0-h6a75c08_874.tar.bz2#2ff89a7337a9636029b4db9466e9f8e3 https://conda.anaconda.org/conda-forge/win-64/pillow-9.5.0-py38h0c7286b_0.conda#8fa7a00618a9578494b564fef40bd063 -https://conda.anaconda.org/conda-forge/noarch/platformdirs-3.5.0-pyhd8ed1ab_0.conda#6c36f1c42dd0069b7f23acc74f19be46 +https://conda.anaconda.org/conda-forge/noarch/platformdirs-3.5.1-pyhd8ed1ab_0.conda#e2be672aece1f060adf7154f76531a35 https://conda.anaconda.org/conda-forge/win-64/pyqt5-sip-12.11.0-py38hd3f51b4_3.conda#948a9d38ac004da975f9862194c25f68 https://conda.anaconda.org/conda-forge/noarch/pytest-7.3.1-pyhd8ed1ab_0.conda#547c7de697ec99b494a28ddde185b5a4 https://conda.anaconda.org/conda-forge/win-64/gstreamer-1.22.0-h6b5321d_2.conda#86b8d2490f7068f7b23ab856b7f3139a @@ -119,7 +119,7 @@ https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-2.5.0-pyhd8ed1ab_0.ta https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.15-pyhd8ed1ab_0.conda#27db656619a55d727eaf5a6ece3d2fd6 https://conda.anaconda.org/conda-forge/win-64/liblapacke-3.9.0-16_win64_mkl.tar.bz2#983e827b7c9562075c2e74d596d056c1 https://conda.anaconda.org/conda-forge/win-64/numpy-1.24.3-py38h1d91fd2_0.conda#2768aa0aa44da206dc5fc3d1ba6ad857 -https://conda.anaconda.org/conda-forge/win-64/qt-main-5.15.8-h7f2b912_9.conda#60dc8e26f8ebc5ce1e7eeee7f60e4e94 +https://conda.anaconda.org/conda-forge/win-64/qt-main-5.15.8-h2c8576c_11.conda#5af5618d771743567cc9cc93a72da71d https://conda.anaconda.org/conda-forge/noarch/requests-2.29.0-pyhd8ed1ab_0.conda#5fa992d972fbccfc069161805122cb8d https://conda.anaconda.org/conda-forge/win-64/blas-devel-3.9.0-16_win64_mkl.tar.bz2#dc89c75a7dd26c88ac77d64bf313973e https://conda.anaconda.org/conda-forge/win-64/contourpy-1.0.7-py38hb1fd069_0.conda#6b53200dddcec578cdd90cac146eeadd @@ -127,5 +127,5 @@ https://conda.anaconda.org/conda-forge/noarch/pooch-1.7.0-pyha770c72_3.conda#593 https://conda.anaconda.org/conda-forge/win-64/pyqt-5.15.7-py38hd6c051e_3.conda#9b17c0bbf19c6e265c3967e33df8770a https://conda.anaconda.org/conda-forge/win-64/blas-2.116-mkl.tar.bz2#7529860b43278247a278c6f56a191d2e https://conda.anaconda.org/conda-forge/win-64/matplotlib-base-3.7.1-py38h528a6c7_0.conda#0aebccad15d74ec7f1bc3d62497ad1a8 -https://conda.anaconda.org/conda-forge/win-64/scipy-1.10.1-py38h1aea9ed_0.conda#34498c5c2804d14c19fa87037a5650a6 +https://conda.anaconda.org/conda-forge/win-64/scipy-1.10.1-py38h1aea9ed_3.conda#1ed766b46170f86ead2ae6b9b8151191 https://conda.anaconda.org/conda-forge/win-64/matplotlib-3.7.1-py38haa244fe_0.conda#f41a8af387463a78ad87571c767d0d80 diff --git a/build_tools/azure/py38_conda_forge_openblas_ubuntu_2204_linux-64_conda.lock b/build_tools/azure/py38_conda_forge_openblas_ubuntu_2204_linux-64_conda.lock index 9a5751a39cdac..764b5572ef4ab 100644 --- a/build_tools/azure/py38_conda_forge_openblas_ubuntu_2204_linux-64_conda.lock +++ b/build_tools/azure/py38_conda_forge_openblas_ubuntu_2204_linux-64_conda.lock @@ -3,7 +3,7 @@ # input_hash: 75dcb70ec40f9bd38136e66f4911ac8da8c539671a03f9d9b8b802ba1b6fafd8 @EXPLICIT https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81 -https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2022.12.7-ha878542_0.conda#ff9f73d45c4a07d6f424495288a26080 +https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2023.5.7-hbcca054_0.conda#f5c65075fc34438d5b456c7f3f5ab695 https://conda.anaconda.org/conda-forge/noarch/font-ttf-dejavu-sans-mono-2.37-hab24e00_0.tar.bz2#0c96522c6bdaed4b1566d11387caaf45 https://conda.anaconda.org/conda-forge/noarch/font-ttf-inconsolata-3.000-h77eed37_0.tar.bz2#34893075a5c9e55cdafac56607368fc6 https://conda.anaconda.org/conda-forge/noarch/font-ttf-source-code-pro-2.038-h77eed37_0.tar.bz2#4d59c254e01d9cde7957100457e2d5fb @@ -63,15 +63,15 @@ https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.0.9-h166bdaf_8.ta https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.0.9-h166bdaf_8.tar.bz2#04bac51ba35ea023dc48af73c1c88c25 https://conda.anaconda.org/conda-forge/linux-64/libcap-2.67-he9d0100_0.conda#d05556c80caffff164d17bdea0105a1a https://conda.anaconda.org/conda-forge/linux-64/libedit-3.1.20191231-he28a2e2_2.tar.bz2#4d331e44109e3f0e19b4cb8f9b82f3e1 -https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.10-h28343ad_4.tar.bz2#4a049fc560e00e43151dc51368915fdd +https://conda.anaconda.org/conda-forge/linux-64/libevent-2.1.12-h3358134_0.conda#c164eb2e0df905571d68f40ae957522d https://conda.anaconda.org/conda-forge/linux-64/libflac-1.4.2-h27087fc_0.tar.bz2#7daf72d8e2a8e848e11d63ed6d1026e0 https://conda.anaconda.org/conda-forge/linux-64/libgpg-error-1.46-h620e276_0.conda#27e745f6f2e4b757e95dd7225fbe6bdb https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.39-h753d276_0.conda#e1c890aebdebbfbf87e2c917187b4416 -https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.40.0-h753d276_1.conda#32565f92ca100184c67509d1d91c858a +https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.41.2-h2797004_1.conda#1d002bf709048f8021c32abfd0e0d395 https://conda.anaconda.org/conda-forge/linux-64/libvorbis-1.3.7-h9c3ff4c_0.tar.bz2#309dec04b70a3cc0f1e84a4013683bc0 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.13-h7f98852_1004.tar.bz2#b3653fdc58d03face9724f602218a904 https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.10.4-hfdac1af_0.conda#241845899caff54ac1d2b3102ad988cf -https://conda.anaconda.org/conda-forge/linux-64/mysql-common-8.0.32-ha901b37_1.conda#2c18a7a26ec0d0c23a917f37a65fc9a2 +https://conda.anaconda.org/conda-forge/linux-64/mysql-common-8.0.32-hf1915f5_2.conda#cf4a8f520fdad3a63bb2bce74576cd2d https://conda.anaconda.org/conda-forge/linux-64/openblas-0.3.21-pthreads_h320a7e8_3.tar.bz2#29155b9196b9d78022f11d86733e25a7 https://conda.anaconda.org/conda-forge/linux-64/pcre2-10.40-hc3806b6_0.tar.bz2#69e2c796349cd9b273890bee0febfe1b https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4 @@ -92,7 +92,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libsndfile-1.2.0-hb75c966_0.cond https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.5.0-ha587672_6.conda#4e5ee4b062c21519efbee7e2ae608748 https://conda.anaconda.org/conda-forge/linux-64/libxkbcommon-1.5.0-h79f4944_1.conda#04a39cdd663f295653fc143851830563 https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-16.0.3-h4dfa4b3_0.conda#540ca195771d87e180778d37c98410eb -https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-8.0.32-hd7da12d_1.conda#a69fa6f218cfed8e2d61753eeacaf034 +https://conda.anaconda.org/conda-forge/linux-64/mysql-libs-8.0.32-hca2cd23_2.conda#20b4708cd04bdc8138d03314ddd97885 https://conda.anaconda.org/conda-forge/linux-64/nss-3.89-he45b914_0.conda#2745719a58eeaab6657256a3f142f099 https://conda.anaconda.org/conda-forge/linux-64/python-3.8.16-he550d4f_1_cpython.conda#9de84cccfbc5f8350a3667bb6ef6fc30 https://conda.anaconda.org/conda-forge/linux-64/xcb-util-0.4.0-h516909a_0.tar.bz2#a88ab22508ba067b689dc12696157cee @@ -101,7 +101,7 @@ https://conda.anaconda.org/conda-forge/linux-64/xcb-util-renderutil-0.3.9-h166bd https://conda.anaconda.org/conda-forge/linux-64/xcb-util-wm-0.4.1-h516909a_0.tar.bz2#847df113dba16f0079758cacf9024409 https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.4-h0b41bf4_0.conda#ea8fbfeb976ac49cbeb594e985393514 https://conda.anaconda.org/conda-forge/linux-64/brotli-1.0.9-h166bdaf_8.tar.bz2#2ff08978892a3e8b954397c461f18418 -https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda#fb9addc3db06e56abe03e0e9f21a63e6 +https://conda.anaconda.org/conda-forge/noarch/certifi-2023.5.7-pyhd8ed1ab_0.conda#5d1b71c942b8421285934dad1d891ebc 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https://conda.anaconda.org/conda-forge/linux-64/xcb-util-0.4.0-h516909a_0.tar.bz2#a88ab22508ba067b689dc12696157cee @@ -101,7 +101,7 @@ https://conda.anaconda.org/conda-forge/linux-64/xcb-util-wm-0.4.1-h516909a_0.tar https://conda.anaconda.org/conda-forge/linux-64/xorg-libx11-1.8.4-h0b41bf4_0.conda#ea8fbfeb976ac49cbeb594e985393514 https://conda.anaconda.org/conda-forge/noarch/array-api-compat-1.2-pyhd8ed1ab_0.conda#3d34f2f6987f8d098ab00198c170a77e https://conda.anaconda.org/conda-forge/linux-64/brotli-1.0.9-h166bdaf_8.tar.bz2#2ff08978892a3e8b954397c461f18418 -https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda#fb9addc3db06e56abe03e0e9f21a63e6 +https://conda.anaconda.org/conda-forge/noarch/certifi-2023.5.7-pyhd8ed1ab_0.conda#5d1b71c942b8421285934dad1d891ebc https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.1.0-pyhd8ed1ab_0.conda#7fcff9f6f123696e940bda77bd4d6551 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https://conda.anaconda.org/conda-forge/linux-64/libsystemd0-253-h8c4010b_1.conda#9176b1e2cb8beca37a7510b0e801e38f https://conda.anaconda.org/conda-forge/noarch/munkres-1.1.4-pyh9f0ad1d_0.tar.bz2#2ba8498c1018c1e9c61eb99b973dfe19 https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.0-hfec8fc6_2.conda#5ce6a42505c6e9e6151c54c3ec8d68ea @@ -136,7 +136,7 @@ https://conda.anaconda.org/conda-forge/linux-64/tbb-2021.9.0-hf52228f_0.conda#f4 https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.1.0-pyh8a188c0_0.tar.bz2#a2995ee828f65687ac5b1e71a2ab1e0c https://conda.anaconda.org/conda-forge/noarch/toml-0.10.2-pyhd8ed1ab_0.tar.bz2#f832c45a477c78bebd107098db465095 https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2#5844808ffab9ebdb694585b50ba02a96 -https://conda.anaconda.org/conda-forge/linux-64/tornado-6.3-py311h2582759_0.conda#632f11a4c1c3f23ef34aa60e6f496375 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b/build_tools/azure/pylatest_conda_forge_mkl_osx-64_conda.lock index 0f9054666f0d4..b7a1278e1b794 100644 --- a/build_tools/azure/pylatest_conda_forge_mkl_osx-64_conda.lock +++ b/build_tools/azure/pylatest_conda_forge_mkl_osx-64_conda.lock @@ -3,9 +3,9 @@ # input_hash: 3c603992c43a9511972b71d065855a67ea7f0e25c3e7d7e0b5a6d388a4326999 @EXPLICIT https://conda.anaconda.org/conda-forge/osx-64/bzip2-1.0.8-h0d85af4_4.tar.bz2#37edc4e6304ca87316e160f5ca0bd1b5 -https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2022.12.7-h033912b_0.conda#af2bdcd68f16ce030ca957cdeb83d88a +https://conda.anaconda.org/conda-forge/osx-64/ca-certificates-2023.5.7-h8857fd0_0.conda#b704e4b79ba0d887c4870b7b09d6a4df https://conda.anaconda.org/conda-forge/osx-64/libbrotlicommon-1.0.9-hb7f2c08_8.tar.bz2#37157d273eaf3bc7d6862104161d9ec9 -https://conda.anaconda.org/conda-forge/osx-64/libcxx-16.0.2-hd57cbcb_0.conda#115c699171430d88dd8b7444fe086bbf 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https://conda.anaconda.org/conda-forge/osx-64/contourpy-1.0.7-py311hd2070f0_0.conda#d78f75103409d2c7a8774c873821ae9a -https://conda.anaconda.org/conda-forge/osx-64/pandas-2.0.1-py311hab14417_0.conda#cd9a03d6202f518e2fcb6720ddba19f7 +https://conda.anaconda.org/conda-forge/osx-64/pandas-2.0.1-py311hab14417_1.conda#618f01d1356c3443fa11378ab44dd7a4 https://conda.anaconda.org/conda-forge/noarch/pyopenssl-23.1.1-pyhd8ed1ab_0.conda#0b34aa3ab7e7ccb1765a03dd9ed29938 https://conda.anaconda.org/conda-forge/noarch/pytest-cov-4.0.0-pyhd8ed1ab_0.tar.bz2#c9e3f8bfdb9bfc34aa1836a6ed4b25d7 https://conda.anaconda.org/conda-forge/noarch/pytest-forked-1.6.0-pyhd8ed1ab_0.conda#a46947638b6e005b63d2d6271da529b0 @@ -130,7 +130,7 @@ https://conda.anaconda.org/conda-forge/osx-64/gfortran_osx-64-11.3.0-h18f7dce_1. https://conda.anaconda.org/conda-forge/noarch/pooch-1.7.0-pyha770c72_3.conda#5936894aade8240c867d292aa0d980c6 https://conda.anaconda.org/conda-forge/osx-64/cxx-compiler-1.5.2-hb8565cd_0.conda#349ae14723b98f76ea0fcb8e532b2ead https://conda.anaconda.org/conda-forge/osx-64/gfortran-12.2.0-h2c809b3_1.conda#4a5cb3bf02a98991321a1f8ec4d8c817 -https://conda.anaconda.org/conda-forge/osx-64/scipy-1.10.1-py311h939689b_0.conda#c0ba4b8d033cd4b2af087ef96e98db04 +https://conda.anaconda.org/conda-forge/osx-64/scipy-1.10.1-py311h16c3c4d_3.conda#a3ba8e96a7511ef8c3b61d28a68da6ed https://conda.anaconda.org/conda-forge/osx-64/fortran-compiler-1.5.2-haad3a49_0.conda#649a324b13eb77c6d5e98d36ea0c59f4 https://conda.anaconda.org/conda-forge/osx-64/pyamg-5.0.0-py311h349b758_0.conda#a6c92bfaa34aa9c3211ede51e683c43f https://conda.anaconda.org/conda-forge/osx-64/compilers-1.5.2-h694c41f_0.conda#1fdd3bc173dad6e7a0439962c7764ab8 diff --git a/build_tools/azure/pylatest_conda_mkl_no_openmp_osx-64_conda.lock b/build_tools/azure/pylatest_conda_mkl_no_openmp_osx-64_conda.lock index ab997e8b980e2..3ddf025b92bb8 100644 --- a/build_tools/azure/pylatest_conda_mkl_no_openmp_osx-64_conda.lock +++ b/build_tools/azure/pylatest_conda_mkl_no_openmp_osx-64_conda.lock @@ -5,12 +5,11 @@ https://repo.anaconda.com/pkgs/main/osx-64/blas-1.0-mkl.conda#cb2c87e85ac8e0ceae776d26d4214c8a https://repo.anaconda.com/pkgs/main/osx-64/ca-certificates-2023.01.10-hecd8cb5_0.conda#4544150389480f19dd67c20b3bb12d61 https://repo.anaconda.com/pkgs/main/osx-64/giflib-5.2.1-h6c40b1e_3.conda#a5ab49bdb6fdc875fb965221241e3bcf -https://repo.anaconda.com/pkgs/main/osx-64/intel-openmp-2021.4.0-hecd8cb5_3538.conda#65e79d0ffef79cbb8ebd3c71e74eb50a https://repo.anaconda.com/pkgs/main/osx-64/jpeg-9e-h6c40b1e_1.conda#fc3e61fa41309946c9283fe8737d7f41 https://repo.anaconda.com/pkgs/main/osx-64/libbrotlicommon-1.0.9-hca72f7f_7.conda#6c865b9e76fa2fad0c8ac32aa0f01f75 https://repo.anaconda.com/pkgs/main/osx-64/libcxx-14.0.6-h9765a3e_0.conda#387757bb354ae9042370452cd0fb5627 https://repo.anaconda.com/pkgs/main/osx-64/libdeflate-1.17-hb664fd8_0.conda#4236b26b451011822d3a3086282063c0 -https://repo.anaconda.com/pkgs/main/osx-64/libffi-3.4.2-hecd8cb5_6.conda#21b9e281d6c7d4c6c9bff64c7644f295 +https://repo.anaconda.com/pkgs/main/osx-64/libffi-3.4.4-hecd8cb5_0.conda#c20b2687118c471b1d70067ef2b2703f https://repo.anaconda.com/pkgs/main/osx-64/libwebp-base-1.2.4-h6c40b1e_1.conda#b5ba90f49396f024ee017794b28e8263 https://repo.anaconda.com/pkgs/main/osx-64/llvm-openmp-14.0.6-h0dcd299_0.conda#b5804d32b87dc61ca94561ade33d5f2d https://repo.anaconda.com/pkgs/main/osx-64/ncurses-6.4-hcec6c5f_0.conda#0214d1ee980e217fabc695f1e40662aa @@ -18,19 +17,21 @@ https://repo.anaconda.com/pkgs/main/noarch/tzdata-2023c-h04d1e81_0.conda#29db02a https://repo.anaconda.com/pkgs/main/osx-64/xz-5.4.2-h6c40b1e_0.conda#5e546d3c9765b4441e511804d58f6e3f https://repo.anaconda.com/pkgs/main/osx-64/zlib-1.2.13-h4dc903c_0.conda#d0202dd912bfb45d3422786531717882 https://repo.anaconda.com/pkgs/main/osx-64/ccache-3.7.9-hf120daa_0.conda#a01515a32e721c51d631283f991bc8ea +https://repo.anaconda.com/pkgs/main/osx-64/intel-openmp-2023.1.0-ha357a0b_43547.conda#aa6031369dd8c8cc6b2f393a0b2d9f0c https://repo.anaconda.com/pkgs/main/osx-64/lerc-3.0-he9d5cce_0.conda#aec2c3dbef836849c9260f05be04f3db https://repo.anaconda.com/pkgs/main/osx-64/libbrotlidec-1.0.9-hca72f7f_7.conda#b85983951745cc666d9a1b42894210b2 https://repo.anaconda.com/pkgs/main/osx-64/libbrotlienc-1.0.9-hca72f7f_7.conda#e306d7a1599202a7c95762443f110832 https://repo.anaconda.com/pkgs/main/osx-64/libgfortran5-11.3.0-h9dfd629_28.conda#1fa1a27ee100b1918c3021dbfa3895a3 https://repo.anaconda.com/pkgs/main/osx-64/libpng-1.6.39-h6c40b1e_0.conda#a3c824835f53ad27aeb86d2b55e47804 https://repo.anaconda.com/pkgs/main/osx-64/lz4-c-1.9.4-hcec6c5f_0.conda#44291e9e6920cfff30caf1299f48db38 -https://repo.anaconda.com/pkgs/main/osx-64/mkl-2021.4.0-hecd8cb5_637.conda#07d14ece4a852cefa17c1c156db8134e https://repo.anaconda.com/pkgs/main/osx-64/openssl-1.1.1t-hca72f7f_0.conda#5027baac278975d148ee3887b3f4e911 https://repo.anaconda.com/pkgs/main/osx-64/readline-8.2-hca72f7f_0.conda#971667436260e523f6f7355fdfa238bf +https://repo.anaconda.com/pkgs/main/osx-64/tbb-2021.8.0-ha357a0b_0.conda#fb48530a3eea681c11dafb95b3387c0f https://repo.anaconda.com/pkgs/main/osx-64/tk-8.6.12-h5d9f67b_0.conda#047f0af5486d19163e37fd7f8ae3d29f https://repo.anaconda.com/pkgs/main/osx-64/brotli-bin-1.0.9-hca72f7f_7.conda#110bdca1a20710820e61f7fa3047f737 https://repo.anaconda.com/pkgs/main/osx-64/freetype-2.12.1-hd8bbffd_0.conda#1f276af321375ee7fe8056843044fa76 https://repo.anaconda.com/pkgs/main/osx-64/libgfortran-5.0.0-11_3_0_hecd8cb5_28.conda#2eb13b680803f1064e53873ae0aaafb3 +https://repo.anaconda.com/pkgs/main/osx-64/mkl-2023.1.0-h59209a4_43558.conda#898a058caf42cf8b706034be6e5b2d50 https://repo.anaconda.com/pkgs/main/osx-64/sqlite-3.41.2-h6c40b1e_0.conda#6947a501943529c7536b7e4ba53802c1 https://repo.anaconda.com/pkgs/main/osx-64/zstd-1.5.5-hc035e20_0.conda#5e0b7ddb1b7dc6b630e1f9a03499c19c https://repo.anaconda.com/pkgs/main/osx-64/brotli-1.0.9-hca72f7f_7.conda#68e54d12ec67591deb2ffd70348fb00f @@ -38,7 +39,7 @@ https://repo.anaconda.com/pkgs/main/osx-64/libtiff-4.5.0-hcec6c5f_2.conda#f0b033 https://repo.anaconda.com/pkgs/main/osx-64/python-3.9.16-h218abb5_2.conda#590b5a60ce20913ad4bc77f38654bc2c https://repo.anaconda.com/pkgs/main/noarch/appdirs-1.4.4-pyhd3eb1b0_0.conda#5673d98d06171cb6eed03a6736845c4d https://repo.anaconda.com/pkgs/main/osx-64/attrs-22.1.0-py39hecd8cb5_0.conda#d0b7738bb61bd74eedfc833533dd14d4 -https://repo.anaconda.com/pkgs/main/osx-64/certifi-2022.12.7-py39hecd8cb5_0.conda#92d58f42b23801c40b4fe2ee5ba93085 +https://repo.anaconda.com/pkgs/main/osx-64/certifi-2023.5.7-py39hecd8cb5_0.conda#6a621616b67c5562036d581c8dd2c17c https://repo.anaconda.com/pkgs/main/noarch/charset-normalizer-2.0.4-pyhd3eb1b0_0.conda#e7a441d94234b2b5fafee06e25dbf076 https://repo.anaconda.com/pkgs/main/osx-64/coverage-6.2-py39hca72f7f_0.conda#55962a70ebebc8de15c4e1d745b20cdd https://repo.anaconda.com/pkgs/main/noarch/cycler-0.11.0-pyhd3eb1b0_0.conda#f5e365d2cdb66d547eb8c3ab93843aab @@ -49,6 +50,7 @@ https://repo.anaconda.com/pkgs/main/osx-64/joblib-1.1.1-py39hecd8cb5_0.conda#8c9 https://repo.anaconda.com/pkgs/main/osx-64/kiwisolver-1.4.4-py39hcec6c5f_0.conda#2ee58ba7ba854969d0b7f7db4d07459d https://repo.anaconda.com/pkgs/main/osx-64/lcms2-2.12-hf1fd2bf_0.conda#697aba7a3308226df7a93ccfeae16ffa https://repo.anaconda.com/pkgs/main/osx-64/libwebp-1.2.4-hf6ce154_1.conda#07d0981c3847293d4aea5778298a12d3 +https://repo.anaconda.com/pkgs/main/osx-64/mkl-service-2.4.0-py39h6c40b1e_1.conda#871bd93289b35f188e44feadb4cafb6e https://repo.anaconda.com/pkgs/main/noarch/munkres-1.1.4-py_0.conda#148362ba07f92abab76999a680c80084 https://repo.anaconda.com/pkgs/main/osx-64/packaging-23.0-py39hecd8cb5_0.conda#09e12aa29746fb55cc52f17b96bfe3c9 https://repo.anaconda.com/pkgs/main/osx-64/pluggy-1.0.0-py39hecd8cb5_1.conda#c5507133514846cc5f54dc4de9ba1563 @@ -68,14 +70,13 @@ https://repo.anaconda.com/pkgs/main/osx-64/zipp-3.11.0-py39hecd8cb5_0.conda#9bef https://repo.anaconda.com/pkgs/main/osx-64/cffi-1.15.1-py39h6c40b1e_3.conda#c9df0a268b6168cb890a6f65e2a81c71 https://repo.anaconda.com/pkgs/main/noarch/fonttools-4.25.0-pyhd3eb1b0_0.conda#bb9c5b5a6d892fca5efe4bf0203b6a48 https://repo.anaconda.com/pkgs/main/noarch/importlib_resources-5.2.0-pyhd3eb1b0_1.conda#3e7caf9dbd3b4771e9b951ffc7cdad80 -https://repo.anaconda.com/pkgs/main/osx-64/mkl-service-2.4.0-py39h9ed2024_0.conda#68ed4da109042256b78f9c46537bd2a3 +https://repo.anaconda.com/pkgs/main/osx-64/numpy-base-1.22.3-py39hcfaf2c3_2.conda#c4d8ba3d8709502a4905a7b05ffb5f01 https://repo.anaconda.com/pkgs/main/osx-64/pillow-9.4.0-py39hcec6c5f_0.conda#5b5389309701442bd3949665e9a88d7e https://repo.anaconda.com/pkgs/main/osx-64/pip-23.0.1-py39hecd8cb5_0.conda#e1064a892ad81368df4de5f5c66225e0 https://repo.anaconda.com/pkgs/main/osx-64/pytest-7.1.2-py39hecd8cb5_0.conda#8239bdb679b675ab8aac1bdc0756d383 https://repo.anaconda.com/pkgs/main/noarch/python-dateutil-2.8.2-pyhd3eb1b0_0.conda#211ee00320b08a1ac9fea6677649f6c9 https://repo.anaconda.com/pkgs/main/osx-64/brotlipy-0.7.0-py39h9ed2024_1003.conda#a08f6f5f899aff4a07351217b36fae41 https://repo.anaconda.com/pkgs/main/osx-64/cryptography-39.0.1-py39hf6deb26_0.conda#47eae0abc1b7f4c285ab4a4b49e34f4b -https://repo.anaconda.com/pkgs/main/osx-64/numpy-base-1.22.3-py39h3b1a694_0.conda#f68019d1d839b40739b64b6feae2b436 https://repo.anaconda.com/pkgs/main/osx-64/pytest-cov-4.0.0-py39hecd8cb5_0.conda#037d1bcc2111d7397a2bff5305252154 https://repo.anaconda.com/pkgs/main/noarch/pytest-forked-1.3.0-pyhd3eb1b0_0.tar.bz2#07970bffdc78f417d7f8f1c7e620f5c4 https://repo.anaconda.com/pkgs/main/osx-64/pyopenssl-23.0.0-py39hecd8cb5_0.conda#ed50ac428785ce7539f175822e834cfd @@ -87,11 +88,11 @@ https://repo.anaconda.com/pkgs/main/osx-64/bottleneck-1.3.5-py39h67323c0_0.conda https://repo.anaconda.com/pkgs/main/osx-64/contourpy-1.0.5-py39haf03e11_0.conda#e4bf1c4fc91f39170273f422f2c97481 https://repo.anaconda.com/pkgs/main/osx-64/matplotlib-3.7.1-py39hecd8cb5_1.conda#1daf87e0df7c65d9c4b78a9130496bf0 https://repo.anaconda.com/pkgs/main/osx-64/matplotlib-base-3.7.1-py39hda11e5a_1.conda#8463df106e548cf2816a27508a7e963a -https://repo.anaconda.com/pkgs/main/osx-64/mkl_fft-1.3.1-py39h4ab4a9b_0.conda#f947c9a1c65da729963b3035c219ba10 -https://repo.anaconda.com/pkgs/main/osx-64/mkl_random-1.2.2-py39hb2f4e1b_0.conda#1bc33de45069ad534182ca92e616ec7e -https://repo.anaconda.com/pkgs/main/osx-64/numpy-1.22.3-py39h2e5f0a9_0.conda#16892a18dae1fb1522845e4b6005b436 -https://repo.anaconda.com/pkgs/main/osx-64/numexpr-2.8.4-py39he696674_0.conda#9776eb34625bf969ba017f7362ecf23f -https://repo.anaconda.com/pkgs/main/osx-64/scipy-1.10.0-py39h91c6ef4_1.conda#517710e1e02bcaff317d317d73455939 +https://repo.anaconda.com/pkgs/main/osx-64/mkl_fft-1.3.6-py39h07fba90_1.conda#5b362466a2a0f5ecae6a5680074358f3 +https://repo.anaconda.com/pkgs/main/osx-64/mkl_random-1.2.2-py39h07fba90_1.conda#213e6499f536c22d564a40a59f10ccbe +https://repo.anaconda.com/pkgs/main/osx-64/numpy-1.22.3-py39h47b59a4_2.conda#307bb4cd4410872581e7efccb25406cc +https://repo.anaconda.com/pkgs/main/osx-64/numexpr-2.8.4-py39h47b59a4_1.conda#4e736ea95f4ae00c0e038916714ce42e +https://repo.anaconda.com/pkgs/main/osx-64/scipy-1.10.1-py39hf241641_1.conda#23198517d4cef343438720b751cddb30 https://repo.anaconda.com/pkgs/main/osx-64/pandas-1.5.3-py39h07fba90_0.conda#69af9747b3840ae270bf0ec30d321da1 https://repo.anaconda.com/pkgs/main/osx-64/pyamg-4.2.3-py39hc29d2bd_0.conda#728a52ac4cc423a4895158c08b95bedf # pip cython @ https://files.pythonhosted.org/packages/d2/49/9845f14b6716614c832535b67e3b491434d7fdecf510fcb6fe254f60a974/Cython-0.29.34-py2.py3-none-any.whl#sha256=be4f6b7be75a201c290c8611c0978549c60353890204573078e865423dbe3c83 diff --git a/build_tools/azure/pylatest_pip_openblas_pandas_linux-64_conda.lock b/build_tools/azure/pylatest_pip_openblas_pandas_linux-64_conda.lock index 66c464cf85a67..420720171a2e1 100644 --- a/build_tools/azure/pylatest_pip_openblas_pandas_linux-64_conda.lock +++ b/build_tools/azure/pylatest_pip_openblas_pandas_linux-64_conda.lock @@ -10,7 +10,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/libgomp-11.2.0-h1234567_1.conda#b37 https://repo.anaconda.com/pkgs/main/linux-64/libstdcxx-ng-11.2.0-h1234567_1.conda#57623d10a70e09e1d048c2b2b6f4e2dd https://repo.anaconda.com/pkgs/main/linux-64/_openmp_mutex-5.1-1_gnu.conda#71d281e9c2192cb3fa425655a8defb85 https://repo.anaconda.com/pkgs/main/linux-64/libgcc-ng-11.2.0-h1234567_1.conda#a87728dabf3151fb9cfa990bd2eb0464 -https://repo.anaconda.com/pkgs/main/linux-64/libffi-3.4.2-h6a678d5_6.conda#6d65e299b535d3b3613b6d4bce901834 +https://repo.anaconda.com/pkgs/main/linux-64/libffi-3.4.4-h6a678d5_0.conda#06e288f9250abef59b9a367d151fc339 https://repo.anaconda.com/pkgs/main/linux-64/ncurses-6.4-h6a678d5_0.conda#5558eec6e2191741a92f832ea826251c https://repo.anaconda.com/pkgs/main/linux-64/openssl-1.1.1t-h7f8727e_0.conda#0410db682c02665511bd4203ade48a32 https://repo.anaconda.com/pkgs/main/linux-64/xz-5.4.2-h5eee18b_0.conda#bcd31de48a0dcb44bc5b99675800c5cc @@ -21,7 +21,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/tk-8.6.12-h1ccaba5_0.conda#fa10ff4a https://repo.anaconda.com/pkgs/main/linux-64/sqlite-3.41.2-h5eee18b_0.conda#c7086c9ceb6cfe1c4c729a774a2d88a5 https://repo.anaconda.com/pkgs/main/linux-64/python-3.9.16-h7a1cb2a_2.conda#6b4f255f11b3facb3fa17061757b8cc2 https://repo.anaconda.com/pkgs/main/noarch/alabaster-0.7.12-pyhd3eb1b0_0.tar.bz2#21ad3b69a5ce6c22e724e9dbb4cffa65 -https://repo.anaconda.com/pkgs/main/linux-64/certifi-2022.12.7-py39h06a4308_0.conda#b4238d910e43d09651eebe8db79b5c68 +https://repo.anaconda.com/pkgs/main/linux-64/certifi-2023.5.7-py39h06a4308_0.conda#22fb6d26ae5933f8c2b29b5bf252f9aa https://repo.anaconda.com/pkgs/main/noarch/charset-normalizer-2.0.4-pyhd3eb1b0_0.conda#e7a441d94234b2b5fafee06e25dbf076 https://repo.anaconda.com/pkgs/main/linux-64/colorama-0.4.6-py39h06a4308_0.conda#ae47f0eeea0e7780ddd4b269884b3e99 https://repo.anaconda.com/pkgs/main/linux-64/docutils-0.18.1-py39h06a4308_3.conda#89b9d5302135916200139e107981baab @@ -30,7 +30,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/imagesize-1.4.1-py39h06a4308_0.cond https://repo.anaconda.com/pkgs/main/linux-64/markupsafe-2.1.1-py39h7f8727e_0.conda#81867b86384d8b25db1141c360803b5f https://repo.anaconda.com/pkgs/main/linux-64/packaging-23.0-py39h06a4308_0.conda#a3da65d1bfc6e59f5411c11c0fd1315f https://repo.anaconda.com/pkgs/main/noarch/pycparser-2.21-pyhd3eb1b0_0.conda#135a72ff2a31150a3a3ff0b1edd41ca9 -https://repo.anaconda.com/pkgs/main/noarch/pygments-2.11.2-pyhd3eb1b0_0.conda#eff55c770961f459a734cf86768aac98 +https://repo.anaconda.com/pkgs/main/linux-64/pygments-2.15.1-py39h06a4308_0.conda#ef67ab61c85263b289eedab42f1f9179 https://repo.anaconda.com/pkgs/main/linux-64/pysocks-1.7.1-py39h06a4308_0.conda#0a2dc6c521fd674b11a99dea461c2d84 https://repo.anaconda.com/pkgs/main/linux-64/pytz-2022.7-py39h06a4308_0.conda#42b322e3f6795196a42b1c3ddbb7807b https://repo.anaconda.com/pkgs/main/linux-64/setuptools-66.0.0-py39h06a4308_0.conda#01bcb83d74778d25c2eb2d0958999954 @@ -58,7 +58,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/sphinx-5.0.2-py39h06a4308_0.conda#8 # pip cython @ https://files.pythonhosted.org/packages/2f/6d/7dc0e08b5305ffb790043535460c2bf2e1d2a74e46e1e284d0886c6cb0ed/Cython-0.29.34-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.manylinux_2_24_x86_64.whl#sha256=cfb2302ef617d647ee590a4c0a00ba3c2da05f301dcefe7721125565d2e51351 # pip exceptiongroup @ https://files.pythonhosted.org/packages/61/97/17ed81b7a8d24d8f69b62c0db37abbd8c0042d4b3fc429c73dab986e7483/exceptiongroup-1.1.1-py3-none-any.whl#sha256=232c37c63e4f682982c8b6459f33a8981039e5fb8756b2074364e5055c498c9e # pip execnet @ https://files.pythonhosted.org/packages/81/c0/3072ecc23f4c5e0a1af35e3a222855cfd9c80a1a105ca67be3b6172637dd/execnet-1.9.0-py2.py3-none-any.whl#sha256=a295f7cc774947aac58dde7fdc85f4aa00c42adf5d8f5468fc630c1acf30a142 -# pip fonttools @ https://files.pythonhosted.org/packages/16/07/1c7547e27f559ec078801d522cc4d5127cdd4ef8e831c8ddcd9584668a07/fonttools-4.39.3-py3-none-any.whl#sha256=64c0c05c337f826183637570ac5ab49ee220eec66cf50248e8df527edfa95aeb +# pip fonttools @ https://files.pythonhosted.org/packages/ad/5f/20da4f41e33e77723b0100ded6539529bd159319ed49d6459a4647cdc7ee/fonttools-4.39.4-py3-none-any.whl#sha256=106caf6167c4597556b31a8d9175a3fdc0356fdcd70ab19973c3b0d4c893c461 # pip iniconfig @ https://files.pythonhosted.org/packages/ef/a6/62565a6e1cf69e10f5727360368e451d4b7f58beeac6173dc9db836a5b46/iniconfig-2.0.0-py3-none-any.whl#sha256=b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 # pip joblib @ https://files.pythonhosted.org/packages/91/d4/3b4c8e5a30604df4c7518c562d4bf0502f2fa29221459226e140cf846512/joblib-1.2.0-py3-none-any.whl#sha256=091138ed78f800342968c523bdde947e7a305b8594b910a0fea2ab83c3c6d385 # pip kiwisolver @ https://files.pythonhosted.org/packages/a4/36/c414d75be311ce97ef7248edcc4fc05afae2998641bf6b592d43a9dee581/kiwisolver-1.4.4-cp39-cp39-manylinux_2_12_x86_64.manylinux2010_x86_64.whl#sha256=7c43e1e1206cd421cd92e6b3280d4385d41d7166b3ed577ac20444b6995a445f diff --git a/build_tools/azure/pylatest_pip_scipy_dev_linux-64_conda.lock b/build_tools/azure/pylatest_pip_scipy_dev_linux-64_conda.lock index a45d77c9b8e2d..13a0afb3ce5e6 100644 --- a/build_tools/azure/pylatest_pip_scipy_dev_linux-64_conda.lock +++ b/build_tools/azure/pylatest_pip_scipy_dev_linux-64_conda.lock @@ -11,7 +11,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/libstdcxx-ng-11.2.0-h1234567_1.cond https://repo.anaconda.com/pkgs/main/linux-64/_openmp_mutex-5.1-1_gnu.conda#71d281e9c2192cb3fa425655a8defb85 https://repo.anaconda.com/pkgs/main/linux-64/libgcc-ng-11.2.0-h1234567_1.conda#a87728dabf3151fb9cfa990bd2eb0464 https://repo.anaconda.com/pkgs/main/linux-64/bzip2-1.0.8-h7b6447c_0.conda#9303f4af7c004e069bae22bde8d800ee -https://repo.anaconda.com/pkgs/main/linux-64/libffi-3.4.2-h6a678d5_6.conda#6d65e299b535d3b3613b6d4bce901834 +https://repo.anaconda.com/pkgs/main/linux-64/libffi-3.4.4-h6a678d5_0.conda#06e288f9250abef59b9a367d151fc339 https://repo.anaconda.com/pkgs/main/linux-64/libuuid-1.41.5-h5eee18b_0.conda#4a6a2354414c9080327274aa514e5299 https://repo.anaconda.com/pkgs/main/linux-64/ncurses-6.4-h6a678d5_0.conda#5558eec6e2191741a92f832ea826251c https://repo.anaconda.com/pkgs/main/linux-64/openssl-1.1.1t-h7f8727e_0.conda#0410db682c02665511bd4203ade48a32 @@ -23,7 +23,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/tk-8.6.12-h1ccaba5_0.conda#fa10ff4a https://repo.anaconda.com/pkgs/main/linux-64/sqlite-3.41.2-h5eee18b_0.conda#c7086c9ceb6cfe1c4c729a774a2d88a5 https://repo.anaconda.com/pkgs/main/linux-64/python-3.11.3-h7a1cb2a_0.conda#d4474259a2525cc6fb272f02ca02873e https://repo.anaconda.com/pkgs/main/noarch/alabaster-0.7.12-pyhd3eb1b0_0.tar.bz2#21ad3b69a5ce6c22e724e9dbb4cffa65 -https://repo.anaconda.com/pkgs/main/linux-64/certifi-2022.12.7-py311h06a4308_0.conda#c83da4712f456a311a15392186b607a3 +https://repo.anaconda.com/pkgs/main/linux-64/certifi-2023.5.7-py311h06a4308_0.conda#ddc0027327a53943f2d3f1d16881928d https://repo.anaconda.com/pkgs/main/noarch/charset-normalizer-2.0.4-pyhd3eb1b0_0.conda#e7a441d94234b2b5fafee06e25dbf076 https://repo.anaconda.com/pkgs/main/linux-64/colorama-0.4.6-py311h06a4308_0.conda#e9e95330183ae1f49a4448bc772c0f86 https://repo.anaconda.com/pkgs/main/linux-64/docutils-0.18.1-py311h06a4308_3.conda#4e54aecf990cdca05853247a80f0db47 @@ -32,7 +32,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/imagesize-1.4.1-py311h06a4308_0.con https://repo.anaconda.com/pkgs/main/linux-64/markupsafe-2.1.1-py311h5eee18b_0.conda#5d815163b43fe73c9e224453d470f5cf https://repo.anaconda.com/pkgs/main/linux-64/packaging-23.0-py311h06a4308_0.conda#00e34d9a35fc77d5f6d4a475c947a93e https://repo.anaconda.com/pkgs/main/noarch/pycparser-2.21-pyhd3eb1b0_0.conda#135a72ff2a31150a3a3ff0b1edd41ca9 -https://repo.anaconda.com/pkgs/main/noarch/pygments-2.11.2-pyhd3eb1b0_0.conda#eff55c770961f459a734cf86768aac98 +https://repo.anaconda.com/pkgs/main/linux-64/pygments-2.15.1-py311h06a4308_0.conda#eb9b1d0906caa6882839212263f8136c https://repo.anaconda.com/pkgs/main/linux-64/pysocks-1.7.1-py311h06a4308_0.conda#0c6bf55446eb174d2c749fd9499ca181 https://repo.anaconda.com/pkgs/main/linux-64/pytz-2022.7-py311h06a4308_0.conda#97637c3925dc85ac3cb42cd561f82f31 https://repo.anaconda.com/pkgs/main/linux-64/setuptools-66.0.0-py311h06a4308_0.conda#90e65d2a0bca81935766a7a069a6c03f @@ -57,7 +57,7 @@ https://repo.anaconda.com/pkgs/main/linux-64/sphinx-5.0.2-py311h06a4308_0.conda# # pip coverage @ https://files.pythonhosted.org/packages/57/a4/e2002682aea70aa50c07e1bd868fe2d59540d51d90b6f6cbe69558efe5f0/coverage-7.2.5-cp311-cp311-manylinux_2_5_x86_64.manylinux1_x86_64.manylinux_2_17_x86_64.manylinux2014_x86_64.whl#sha256=292300f76440651529b8ceec283a9370532f4ecba9ad67d120617021bb5ef139 # pip execnet @ https://files.pythonhosted.org/packages/81/c0/3072ecc23f4c5e0a1af35e3a222855cfd9c80a1a105ca67be3b6172637dd/execnet-1.9.0-py2.py3-none-any.whl#sha256=a295f7cc774947aac58dde7fdc85f4aa00c42adf5d8f5468fc630c1acf30a142 # pip iniconfig @ https://files.pythonhosted.org/packages/ef/a6/62565a6e1cf69e10f5727360368e451d4b7f58beeac6173dc9db836a5b46/iniconfig-2.0.0-py3-none-any.whl#sha256=b6a85871a79d2e3b22d2d1b94ac2824226a63c6b741c88f7ae975f18b6778374 -# pip platformdirs @ https://files.pythonhosted.org/packages/ce/cf/279b73aae00f7ba9d5d7664156ef323ebbf16fb556285bb223ecc45031aa/platformdirs-3.5.0-py3-none-any.whl#sha256=47692bc24c1958e8b0f13dd727307cff1db103fca36399f457da8e05f222fdc4 +# pip platformdirs @ https://files.pythonhosted.org/packages/89/7e/c6ff9ddcf93b9b36c90d88111c4db354afab7f9a58c7ac3257fa717f1268/platformdirs-3.5.1-py3-none-any.whl#sha256=e2378146f1964972c03c085bb5662ae80b2b8c06226c54b2ff4aa9483e8a13a5 # pip pluggy @ https://files.pythonhosted.org/packages/9e/01/f38e2ff29715251cf25532b9082a1589ab7e4f571ced434f98d0139336dc/pluggy-1.0.0-py2.py3-none-any.whl#sha256=74134bbf457f031a36d68416e1509f34bd5ccc019f0bcc952c7b909d06b37bd3 # pip py @ https://files.pythonhosted.org/packages/f6/f0/10642828a8dfb741e5f3fbaac830550a518a775c7fff6f04a007259b0548/py-1.11.0-py2.py3-none-any.whl#sha256=607c53218732647dff4acdfcd50cb62615cedf612e72d1724fb1a0cc6405b378 # pip six @ https://files.pythonhosted.org/packages/d9/5a/e7c31adbe875f2abbb91bd84cf2dc52d792b5a01506781dbcf25c91daf11/six-1.16.0-py2.py3-none-any.whl#sha256=8abb2f1d86890a2dfb989f9a77cfcfd3e47c2a354b01111771326f8aa26e0254 diff --git a/build_tools/azure/pypy3_linux-64_conda.lock b/build_tools/azure/pypy3_linux-64_conda.lock index 1bfd0b8f82290..9f166daf2c18f 100644 --- a/build_tools/azure/pypy3_linux-64_conda.lock +++ b/build_tools/azure/pypy3_linux-64_conda.lock @@ -3,7 +3,7 @@ # input_hash: 42c6166c936ee35159a6d1b5d7b6a9b30df5242f836e02d76e238e2d0f1faa43 @EXPLICIT https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81 -https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2022.12.7-ha878542_0.conda#ff9f73d45c4a07d6f424495288a26080 +https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2023.5.7-hbcca054_0.conda#f5c65075fc34438d5b456c7f3f5ab695 https://conda.anaconda.org/conda-forge/linux-64/libgfortran5-12.2.0-h337968e_19.tar.bz2#164b4b1acaedc47ee7e658ae6b308ca3 https://conda.anaconda.org/conda-forge/linux-64/libstdcxx-ng-12.2.0-h46fd767_19.tar.bz2#1030b1f38c129f2634eae026f704fe60 https://conda.anaconda.org/conda-forge/linux-64/python_abi-3.9-3_pypy39_pp73.conda#6f23be0f8f1e4871998437b188425ea3 @@ -25,15 +25,18 @@ https://conda.anaconda.org/conda-forge/linux-64/libzlib-1.2.13-h166bdaf_4.tar.bz https://conda.anaconda.org/conda-forge/linux-64/ncurses-6.3-h27087fc_1.tar.bz2#4acfc691e64342b9dae57cf2adc63238 https://conda.anaconda.org/conda-forge/linux-64/openssl-3.1.0-hd590300_3.conda#8f24d371ed9efb3f0b0de383fb81d51c https://conda.anaconda.org/conda-forge/linux-64/pthread-stubs-0.4-h36c2ea0_1001.tar.bz2#22dad4df6e8630e8dff2428f6f6a7036 +https://conda.anaconda.org/conda-forge/linux-64/xorg-kbproto-1.0.7-h7f98852_1002.tar.bz2#4b230e8381279d76131116660f5a241a https://conda.anaconda.org/conda-forge/linux-64/xorg-libxau-1.0.9-h7f98852_0.tar.bz2#bf6f803a544f26ebbdc3bfff272eb179 https://conda.anaconda.org/conda-forge/linux-64/xorg-libxdmcp-1.1.3-h7f98852_0.tar.bz2#be93aabceefa2fac576e971aef407908 +https://conda.anaconda.org/conda-forge/linux-64/xorg-xextproto-7.3.0-h0b41bf4_1003.conda#bce9f945da8ad2ae9b1d7165a64d0f87 +https://conda.anaconda.org/conda-forge/linux-64/xorg-xproto-7.0.31-h7f98852_1007.tar.bz2#b4a4381d54784606820704f7b5f05a15 https://conda.anaconda.org/conda-forge/linux-64/xz-5.2.6-h166bdaf_0.tar.bz2#2161070d867d1b1204ea749c8eec4ef0 https://conda.anaconda.org/conda-forge/linux-64/expat-2.5.0-hcb278e6_1.conda#8b9b5aca60558d02ddaa09d599e55920 https://conda.anaconda.org/conda-forge/linux-64/libblas-3.9.0-16_linux64_openblas.tar.bz2#d9b7a8639171f6c6fa0a983edabcfe2b https://conda.anaconda.org/conda-forge/linux-64/libbrotlidec-1.0.9-h166bdaf_8.tar.bz2#4ae4d7795d33e02bd20f6b23d91caf82 https://conda.anaconda.org/conda-forge/linux-64/libbrotlienc-1.0.9-h166bdaf_8.tar.bz2#04bac51ba35ea023dc48af73c1c88c25 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.39-h753d276_0.conda#e1c890aebdebbfbf87e2c917187b4416 -https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.40.0-h753d276_1.conda#32565f92ca100184c67509d1d91c858a +https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.41.2-h2797004_1.conda#1d002bf709048f8021c32abfd0e0d395 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.13-h7f98852_1004.tar.bz2#b3653fdc58d03face9724f602218a904 https://conda.anaconda.org/conda-forge/linux-64/openblas-0.3.21-pthreads_h320a7e8_3.tar.bz2#29155b9196b9d78022f11d86733e25a7 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4 @@ -48,16 +51,17 @@ https://conda.anaconda.org/conda-forge/linux-64/libcblas-3.9.0-16_linux64_openbl https://conda.anaconda.org/conda-forge/linux-64/liblapack-3.9.0-16_linux64_openblas.tar.bz2#955d993f41f9354bf753d29864ea20ad https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.5.0-ha587672_6.conda#4e5ee4b062c21519efbee7e2ae608748 https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-16.0.3-h4dfa4b3_0.conda#540ca195771d87e180778d37c98410eb -https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.40.0-h4ff8645_1.conda#a5cec05bd9e0a5843fa29de9591b93cb +https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.41.2-h2c6b66d_1.conda#c8771266cc289756099c04e597209862 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https://conda.anaconda.org/conda-forge/noarch/pooch-1.7.0-pyha770c72_3.conda#5936894aade8240c867d292aa0d980c6 https://conda.anaconda.org/conda-forge/noarch/sphinx-6.0.0-pyhd8ed1ab_2.conda#ac1d3b55da1669ee3a56973054fd7efb https://conda.anaconda.org/conda-forge/noarch/numpydoc-1.5.0-pyhd8ed1ab_0.tar.bz2#3c275d7168a6a135329f4acb364c229a -https://conda.anaconda.org/conda-forge/linux-64/scipy-1.10.1-py39he83f1e1_0.conda#0fb6a78da33e1aca1fcea7fe02e7c179 +https://conda.anaconda.org/conda-forge/linux-64/scipy-1.10.1-py39h6183b62_3.conda#84c4007675da392fdb99faeefda69552 https://conda.anaconda.org/conda-forge/noarch/sphinx-gallery-0.13.0-pyhd8ed1ab_0.conda#26c51b97ce59bbcce6a35ff45bc5c900 https://conda.anaconda.org/conda-forge/noarch/sphinx-prompt-1.4.0-pyhd8ed1ab_0.tar.bz2#88ee91e8679603f2a5bd036d52919cc2 https://conda.anaconda.org/conda-forge/noarch/sphinxext-opengraph-0.8.2-pyhd8ed1ab_0.conda#7f330c6004309c83cc63aed39b70d711 @@ -267,13 +267,13 @@ https://conda.anaconda.org/conda-forge/noarch/patsy-0.5.3-pyhd8ed1ab_0.tar.bz2#5 https://conda.anaconda.org/conda-forge/linux-64/pyamg-5.0.0-py39h9ff65d1_0.conda#b68d27031efaec0ebab9d20d52135abd https://conda.anaconda.org/conda-forge/linux-64/scikit-image-0.19.3-py39h4661b88_2.tar.bz2#a8d53b12aedcd84107ba8c85c81be56f https://conda.anaconda.org/conda-forge/noarch/seaborn-base-0.12.2-pyhd8ed1ab_0.conda#cf88f3a1c11536bc3c10c14ad00ccc42 -https://conda.anaconda.org/conda-forge/linux-64/statsmodels-0.13.5-py39h2ae25f5_2.tar.bz2#598b14b778a8f3e06a3579649f0e3c00 +https://conda.anaconda.org/conda-forge/linux-64/statsmodels-0.14.0-py39h0f8d45d_1.conda#b4f7f4de7614a8406935f56b1eef6a75 https://conda.anaconda.org/conda-forge/noarch/seaborn-0.12.2-hd8ed1ab_0.conda#50847a47c07812f88581081c620f5160 # pip attrs @ https://files.pythonhosted.org/packages/f0/eb/fcb708c7bf5056045e9e98f62b93bd7467eb718b0202e7698eb11d66416c/attrs-23.1.0-py3-none-any.whl#sha256=1f28b4522cdc2fb4256ac1a020c78acf9cba2c6b461ccd2c126f3aa8e8335d04 # pip defusedxml @ https://files.pythonhosted.org/packages/07/6c/aa3f2f849e01cb6a001cd8554a88d4c77c5c1a31c95bdf1cf9301e6d9ef4/defusedxml-0.7.1-py2.py3-none-any.whl#sha256=a352e7e428770286cc899e2542b6cdaedb2b4953ff269a210103ec58f6198a61 # pip fastjsonschema @ https://files.pythonhosted.org/packages/eb/e7/84b1571b866b8abd604f8b72234d16f01bd5944014ef9929b5cb0da198c1/fastjsonschema-2.16.3-py3-none-any.whl#sha256=04fbecc94300436f628517b05741b7ea009506ce8f946d40996567c669318490 # pip fqdn @ https://files.pythonhosted.org/packages/cf/58/8acf1b3e91c58313ce5cb67df61001fc9dcd21be4fadb76c1a2d540e09ed/fqdn-1.5.1-py3-none-any.whl#sha256=3a179af3761e4df6eb2e026ff9e1a3033d3587bf980a0b1b2e1e5d08d7358014 -# pip json5 @ 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https://files.pythonhosted.org/packages/f3/97/d35da363d1df4a68f1b3d44335f80235487d7ca77d1f606b0c3523118f34/nbclient-0.7.4-py3-none-any.whl#sha256=c817c0768c5ff0d60e468e017613e6eae27b6fa31e43f905addd2d24df60c125 -# pip nbconvert @ https://files.pythonhosted.org/packages/35/3a/60a1821e977104c98fa3a6142adb768a10e1c110438b323076fbda2c0087/nbconvert-7.3.1-py3-none-any.whl#sha256=d2e95904666f1ff77d36105b9de4e0801726f93b862d5b28f69e93d99ad3b19c +# pip nbconvert @ https://files.pythonhosted.org/packages/2f/90/79bf16b584f5150550b0c175ca7a6e88334226e9275cf16db13785105d73/nbconvert-7.4.0-py3-none-any.whl#sha256=af5064a9db524f9f12f4e8be7f0799524bd5b14c1adea37e34e83c95127cc818 # pip jupyter-server @ https://files.pythonhosted.org/packages/1d/dd/77a250131fcc97d4a4fa76cda07e23e6b66028aca723f36d114b635127e9/jupyter_server-2.5.0-py3-none-any.whl#sha256=e6bc1e9e96d7c55b9ce9699ff6cb9a910581fe7349e27c40389acb67632e24c0 # pip jupyterlab-server @ https://files.pythonhosted.org/packages/ad/31/cfb84feb3803c1e0e69dbe6928ab9251b9a1548b9092a5013413c0dd49f8/jupyterlab_server-2.22.1-py3-none-any.whl#sha256=1c8eb55c7cd70a50a51fef42a7b4e26ef2f7fc48728f0290604bd89b1dd156e6 # pip jupyterlite-sphinx @ https://files.pythonhosted.org/packages/34/a9/a050b891d5d06a3fe73f1e16992a846a6f6ba21660ac053f5064cbf98bae/jupyterlite_sphinx-0.8.0-py3-none-any.whl#sha256=4a20fcb585ef036d3ed1c62cd6270351f810bc9586d3638f55e6a98665b3373d diff --git a/build_tools/circle/doc_min_dependencies_linux-64_conda.lock b/build_tools/circle/doc_min_dependencies_linux-64_conda.lock index b07ed271d925d..c792a8e580d6d 100644 --- a/build_tools/circle/doc_min_dependencies_linux-64_conda.lock +++ b/build_tools/circle/doc_min_dependencies_linux-64_conda.lock @@ -3,7 +3,7 @@ # input_hash: 252ccd433e79a67f834caaea9da99946773503bd964d12afa2ea4bdd9368ef77 @EXPLICIT https://conda.anaconda.org/conda-forge/linux-64/_libgcc_mutex-0.1-conda_forge.tar.bz2#d7c89558ba9fa0495403155b64376d81 -https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2022.12.7-ha878542_0.conda#ff9f73d45c4a07d6f424495288a26080 +https://conda.anaconda.org/conda-forge/linux-64/ca-certificates-2023.5.7-hbcca054_0.conda#f5c65075fc34438d5b456c7f3f5ab695 https://conda.anaconda.org/conda-forge/noarch/kernel-headers_linux-64-2.6.32-he073ed8_15.tar.bz2#5dd5127afd710f91f6a75821bac0a4f0 https://conda.anaconda.org/conda-forge/linux-64/ld_impl_linux-64-2.36.1-hea4e1c9_2.tar.bz2#bd4f2e711b39af170e7ff15163fe87ee https://conda.anaconda.org/conda-forge/linux-64/libgcc-devel_linux-64-7.5.0-hda03d7c_20.tar.bz2#2146b25eb2a762a44fab709338a7b6d9 @@ -47,7 +47,7 @@ https://conda.anaconda.org/conda-forge/linux-64/gfortran_impl_linux-64-7.5.0-h56 https://conda.anaconda.org/conda-forge/linux-64/gxx_impl_linux-64-7.5.0-hd0bb8aa_20.tar.bz2#dbe78fc5fb9c339f8e55426559e12f7b https://conda.anaconda.org/conda-forge/linux-64/libllvm9-9.0.1-default_hc23dcda_7.tar.bz2#9f4686a2c319355fe8636ca13783c3b4 https://conda.anaconda.org/conda-forge/linux-64/libpng-1.6.39-h753d276_0.conda#e1c890aebdebbfbf87e2c917187b4416 -https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.40.0-h753d276_1.conda#32565f92ca100184c67509d1d91c858a +https://conda.anaconda.org/conda-forge/linux-64/libsqlite-3.41.2-h2797004_1.conda#1d002bf709048f8021c32abfd0e0d395 https://conda.anaconda.org/conda-forge/linux-64/libxcb-1.13-h7f98852_1004.tar.bz2#b3653fdc58d03face9724f602218a904 https://conda.anaconda.org/conda-forge/linux-64/readline-8.2-h8228510_1.conda#47d31b792659ce70f470b5c82fdfb7a4 https://conda.anaconda.org/conda-forge/linux-64/tk-8.6.12-h27826a3_0.tar.bz2#5b8c42eb62e9fc961af70bdd6a26e168 @@ -63,7 +63,7 @@ https://conda.anaconda.org/conda-forge/linux-64/libtiff-4.5.0-h6adf6a1_2.conda#2 https://conda.anaconda.org/conda-forge/linux-64/libxml2-2.9.10-hee79883_0.tar.bz2#0217b0926808b1adf93247bba489d733 https://conda.anaconda.org/conda-forge/linux-64/llvm-openmp-16.0.3-h4dfa4b3_0.conda#540ca195771d87e180778d37c98410eb https://conda.anaconda.org/conda-forge/linux-64/nss-3.89-he45b914_0.conda#2745719a58eeaab6657256a3f142f099 -https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.40.0-h4ff8645_1.conda#a5cec05bd9e0a5843fa29de9591b93cb +https://conda.anaconda.org/conda-forge/linux-64/sqlite-3.41.2-h2c6b66d_1.conda#c8771266cc289756099c04e597209862 https://conda.anaconda.org/conda-forge/linux-64/cxx-compiler-1.1.1-hc9558a2_0.tar.bz2#1eb7c67eb11eab0c98a87f84174fdde1 https://conda.anaconda.org/conda-forge/linux-64/fontconfig-2.14.2-h14ed4e7_0.conda#0f69b688f52ff6da70bccb7ff7001d1d https://conda.anaconda.org/conda-forge/linux-64/fortran-compiler-1.1.1-he991be0_0.tar.bz2#e38ac82cc517b9e245c1ae99f9f140da @@ -72,7 +72,7 @@ https://conda.anaconda.org/conda-forge/linux-64/mkl-2020.4-h726a3e6_304.tar.bz2# https://conda.anaconda.org/conda-forge/linux-64/openjpeg-2.5.0-hfec8fc6_2.conda#5ce6a42505c6e9e6151c54c3ec8d68ea https://conda.anaconda.org/conda-forge/linux-64/python-3.8.6-h852b56e_0_cpython.tar.bz2#dd65401dfb61ac030edc0dc4d15c2c51 https://conda.anaconda.org/conda-forge/noarch/alabaster-0.7.13-pyhd8ed1ab_0.conda#06006184e203b61d3525f90de394471e -https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda#fb9addc3db06e56abe03e0e9f21a63e6 +https://conda.anaconda.org/conda-forge/noarch/certifi-2023.5.7-pyhd8ed1ab_0.conda#5d1b71c942b8421285934dad1d891ebc https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.1.0-pyhd8ed1ab_0.conda#7fcff9f6f123696e940bda77bd4d6551 https://conda.anaconda.org/conda-forge/noarch/click-8.1.3-unix_pyhd8ed1ab_2.tar.bz2#20e4087407c7cb04a40817114b333dbf https://conda.anaconda.org/conda-forge/noarch/cloudpickle-2.2.1-pyhd8ed1ab_0.conda#b325bfc4cff7d7f8a868f1f7ecc4ed16 @@ -83,7 +83,7 @@ https://conda.anaconda.org/conda-forge/linux-64/cython-0.29.33-py38h8dc9893_0.co https://conda.anaconda.org/conda-forge/linux-64/docutils-0.17.1-py38h578d9bd_3.tar.bz2#34e1f12e3ed15aff218644e9d865b722 https://conda.anaconda.org/conda-forge/noarch/exceptiongroup-1.1.1-pyhd8ed1ab_0.conda#7312299d7a0ea4993159229b7d2dceb2 https://conda.anaconda.org/conda-forge/noarch/execnet-1.9.0-pyhd8ed1ab_0.tar.bz2#0e521f7a5e60d508b121d38b04874fb2 -https://conda.anaconda.org/conda-forge/noarch/fsspec-2023.4.0-pyh1a96a4e_0.conda#a993e42df87a292d8fd7396a2e2a8d75 +https://conda.anaconda.org/conda-forge/noarch/fsspec-2023.5.0-pyh1a96a4e_0.conda#20edd290b319aa0eff3e9055375756dc https://conda.anaconda.org/conda-forge/linux-64/glib-2.66.3-h58526e2_0.tar.bz2#62c2e5c84f6cdc7ded2307ef9c30dc8c https://conda.anaconda.org/conda-forge/noarch/idna-3.4-pyhd8ed1ab_0.tar.bz2#34272b248891bddccc64479f9a7fffed https://conda.anaconda.org/conda-forge/noarch/imagesize-1.4.1-pyhd8ed1ab_0.tar.bz2#7de5386c8fea29e76b303f37dde4c352 @@ -117,7 +117,7 @@ https://conda.anaconda.org/conda-forge/noarch/tenacity-8.2.2-pyhd8ed1ab_0.conda# https://conda.anaconda.org/conda-forge/noarch/threadpoolctl-3.1.0-pyh8a188c0_0.tar.bz2#a2995ee828f65687ac5b1e71a2ab1e0c https://conda.anaconda.org/conda-forge/noarch/tomli-2.0.1-pyhd8ed1ab_0.tar.bz2#5844808ffab9ebdb694585b50ba02a96 https://conda.anaconda.org/conda-forge/noarch/toolz-0.12.0-pyhd8ed1ab_0.tar.bz2#92facfec94bc02d6ccf42e7173831a36 -https://conda.anaconda.org/conda-forge/linux-64/tornado-6.3-py38h1de0b5d_0.conda#1371a9ace5486b295a373924803acaba +https://conda.anaconda.org/conda-forge/linux-64/tornado-6.3.2-py38h01eb140_0.conda#3db869202b0e523d606d13e81ca79ab6 https://conda.anaconda.org/conda-forge/noarch/typing_extensions-4.5.0-pyha770c72_0.conda#43e7d9e50261fb11deb76e17d8431aac https://conda.anaconda.org/conda-forge/noarch/wheel-0.40.0-pyhd8ed1ab_0.conda#49bb0d9e60ce1db25e151780331bb5f3 https://conda.anaconda.org/conda-forge/noarch/zipp-3.15.0-pyhd8ed1ab_0.conda#13018819ca8f5b7cc675a8faf1f5fedf @@ -143,10 +143,10 @@ https://conda.anaconda.org/conda-forge/linux-64/gst-plugins-base-1.14.5-h0935bb2 https://conda.anaconda.org/conda-forge/noarch/importlib_metadata-6.6.0-hd8ed1ab_0.conda#3cbc9615f10a3d471532b83e4250b971 https://conda.anaconda.org/conda-forge/linux-64/liblapacke-3.8.0-20_mkl.tar.bz2#8274dc30518af9df1de47f5d9e73165c https://conda.anaconda.org/conda-forge/linux-64/numpy-1.17.3-py38h95a1406_0.tar.bz2#bc0cbf611fe2f86eab29b98e51404f5e -https://conda.anaconda.org/conda-forge/noarch/platformdirs-3.5.0-pyhd8ed1ab_0.conda#6c36f1c42dd0069b7f23acc74f19be46 +https://conda.anaconda.org/conda-forge/noarch/platformdirs-3.5.1-pyhd8ed1ab_0.conda#e2be672aece1f060adf7154f76531a35 https://conda.anaconda.org/conda-forge/noarch/pytest-7.3.1-pyhd8ed1ab_0.conda#547c7de697ec99b494a28ddde185b5a4 https://conda.anaconda.org/conda-forge/linux-64/blas-2.20-mkl.tar.bz2#e7d09a07f5413e53dca5282b8fa50bed -https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.4.1-pyhd8ed1ab_0.conda#90c1b31ac4d7f6912007534a761de086 +https://conda.anaconda.org/conda-forge/noarch/dask-core-2023.5.0-pyhd8ed1ab_0.conda#03ed2d040648a5ba1063bf1cb0d87b78 https://conda.anaconda.org/conda-forge/noarch/imageio-2.28.1-pyh24c5eb1_0.conda#ef3541a8cd9a55879932486a097b7fed https://conda.anaconda.org/conda-forge/linux-64/matplotlib-base-3.1.3-py38h250f245_0.tar.bz2#eb182969d8ed019d4de6939f393270d2 https://conda.anaconda.org/conda-forge/linux-64/pandas-1.0.5-py38hcb8c335_0.tar.bz2#1e1b4382170fd26cf722ef008ffb651e diff --git a/build_tools/cirrus/py39_conda_forge_linux-aarch64_conda.lock b/build_tools/cirrus/py39_conda_forge_linux-aarch64_conda.lock index b6a8265b832bf..17b89b741198e 100644 --- a/build_tools/cirrus/py39_conda_forge_linux-aarch64_conda.lock +++ b/build_tools/cirrus/py39_conda_forge_linux-aarch64_conda.lock @@ -2,7 +2,7 @@ # platform: linux-aarch64 # input_hash: 8cbd4b39fff3a0b91b6adc652e12de7b27aa74abb8b90e9d9aa0fc141dd28d84 @EXPLICIT -https://conda.anaconda.org/conda-forge/linux-aarch64/ca-certificates-2022.12.7-h4fd8a4c_0.conda#2450fbcaf65634e0d071e47e2b8487b4 +https://conda.anaconda.org/conda-forge/linux-aarch64/ca-certificates-2023.5.7-hcefe29a_0.conda#331e624442b88d96bc05a7f2d38c61a4 https://conda.anaconda.org/conda-forge/linux-aarch64/ld_impl_linux-aarch64-2.40-h2d8c526_0.conda#16246d69e945d0b1969a6099e7c5d457 https://conda.anaconda.org/conda-forge/linux-aarch64/libgfortran5-12.2.0-hf695500_19.tar.bz2#bc890809e1f807b51bf04dfbee70ddf5 https://conda.anaconda.org/conda-forge/linux-aarch64/libstdcxx-ng-12.2.0-hc13a102_19.tar.bz2#981741cd4321edd5c504b48f74fe91f2 @@ -33,7 +33,7 @@ https://conda.anaconda.org/conda-forge/linux-aarch64/libblas-3.9.0-16_linuxaarch https://conda.anaconda.org/conda-forge/linux-aarch64/libbrotlidec-1.0.9-h4e544f5_8.tar.bz2#319956380b383ec9f6a46d585599c028 https://conda.anaconda.org/conda-forge/linux-aarch64/libbrotlienc-1.0.9-h4e544f5_8.tar.bz2#56a0a025208af24e2b43b2bbeee79802 https://conda.anaconda.org/conda-forge/linux-aarch64/libpng-1.6.39-hf9034f9_0.conda#5ec9052384a6ac85e9111e9ac7c5ec4c -https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.40.0-hf9034f9_1.conda#09ef64a914792fd6d8809eb4c181f992 +https://conda.anaconda.org/conda-forge/linux-aarch64/libsqlite-3.41.2-h194ca79_1.conda#f68594d22d8b19a461ec0c2b8dd891ab https://conda.anaconda.org/conda-forge/linux-aarch64/libxcb-1.13-h3557bc0_1004.tar.bz2#cc973f5f452272c397546eac588cddb3 https://conda.anaconda.org/conda-forge/linux-aarch64/openblas-0.3.21-pthreads_h2d9dd7e_3.tar.bz2#17a824cf9bbf0e31998d2c1a2140204c https://conda.anaconda.org/conda-forge/linux-aarch64/readline-8.2-h8fc344f_1.conda#105eb1e16bf83bfb2eb380a48032b655 @@ -48,7 +48,7 @@ https://conda.anaconda.org/conda-forge/linux-aarch64/libtiff-4.5.0-h536c0eb_6.co https://conda.anaconda.org/conda-forge/linux-aarch64/llvm-openmp-16.0.3-h8b0cb96_0.conda#2cad51d6e517ef8ae6d81fd8c39da58a https://conda.anaconda.org/conda-forge/linux-aarch64/python-3.9.16-hb363c5e_0_cpython.conda#0a7ef29549eaef817898062eeeefebd3 https://conda.anaconda.org/conda-forge/linux-aarch64/brotli-1.0.9-h4e544f5_8.tar.bz2#259d82bd990ba225508389509634b157 -https://conda.anaconda.org/conda-forge/noarch/certifi-2022.12.7-pyhd8ed1ab_0.conda#fb9addc3db06e56abe03e0e9f21a63e6 +https://conda.anaconda.org/conda-forge/noarch/certifi-2023.5.7-pyhd8ed1ab_0.conda#5d1b71c942b8421285934dad1d891ebc https://conda.anaconda.org/conda-forge/noarch/charset-normalizer-3.1.0-pyhd8ed1ab_0.conda#7fcff9f6f123696e940bda77bd4d6551 https://conda.anaconda.org/conda-forge/noarch/colorama-0.4.6-pyhd8ed1ab_0.tar.bz2#3faab06a954c2a04039983f2c4a50d99 https://conda.anaconda.org/conda-forge/noarch/cycler-0.11.0-pyhd8ed1ab_0.tar.bz2#a50559fad0affdbb33729a68669ca1cb @@ -81,7 +81,7 @@ https://conda.anaconda.org/conda-forge/noarch/zipp-3.15.0-pyhd8ed1ab_0.conda#130 https://conda.anaconda.org/conda-forge/linux-aarch64/blas-devel-3.9.0-16_linuxaarch64_openblas.tar.bz2#5e5a376c40e95ab4b99519dfe6dc8912 https://conda.anaconda.org/conda-forge/linux-aarch64/cffi-1.15.1-py39hb26bf21_3.conda#dee0362c4fde8edce396183fd6390d6e https://conda.anaconda.org/conda-forge/linux-aarch64/contourpy-1.0.7-py39hd9a2fea_0.conda#efa783bf5c2b30aba3cf22599fe0274e -https://conda.anaconda.org/conda-forge/linux-aarch64/fonttools-4.39.3-py39h24fc6b6_0.conda#bad2fcc85f041299cbd57f790dac9a94 +https://conda.anaconda.org/conda-forge/linux-aarch64/fonttools-4.39.4-py39h898b7ef_0.conda#c10973b2dc04e82014938c14b919e6e0 https://conda.anaconda.org/conda-forge/noarch/importlib-metadata-6.6.0-pyha770c72_0.conda#f91a5d5175fb7ff2a91952ec7da59cb9 https://conda.anaconda.org/conda-forge/noarch/importlib_resources-5.12.0-pyhd8ed1ab_0.conda#e5fd2260a231ee63b6969f4801082f2b https://conda.anaconda.org/conda-forge/noarch/joblib-1.2.0-pyhd8ed1ab_0.tar.bz2#7583652522d71ad78ba536bba06940eb @@ -93,7 +93,7 @@ https://conda.anaconda.org/conda-forge/linux-aarch64/blas-2.116-openblas.tar.bz2 https://conda.anaconda.org/conda-forge/linux-aarch64/brotlipy-0.7.0-py39h0fd3b05_1005.tar.bz2#5d37ef329c084829d3ff5b172a08b8f9 https://conda.anaconda.org/conda-forge/linux-aarch64/cryptography-40.0.2-py39h8a84b6a_0.conda#c6a693ddc852ab406274d8460b2bb50b https://conda.anaconda.org/conda-forge/noarch/importlib-resources-5.12.0-pyhd8ed1ab_0.conda#3544c818f0720c89eb16ae6940ab440b -https://conda.anaconda.org/conda-forge/noarch/platformdirs-3.5.0-pyhd8ed1ab_0.conda#6c36f1c42dd0069b7f23acc74f19be46 +https://conda.anaconda.org/conda-forge/noarch/platformdirs-3.5.1-pyhd8ed1ab_0.conda#e2be672aece1f060adf7154f76531a35 https://conda.anaconda.org/conda-forge/noarch/pytest-7.3.1-pyhd8ed1ab_0.conda#547c7de697ec99b494a28ddde185b5a4 https://conda.anaconda.org/conda-forge/linux-aarch64/matplotlib-base-3.7.1-py39h2983639_0.conda#6ca14f00270585ac4ff20b04106817ee https://conda.anaconda.org/conda-forge/noarch/pyopenssl-23.1.1-pyhd8ed1ab_0.conda#0b34aa3ab7e7ccb1765a03dd9ed29938 @@ -103,4 +103,4 @@ https://conda.anaconda.org/conda-forge/noarch/pytest-xdist-2.5.0-pyhd8ed1ab_0.ta https://conda.anaconda.org/conda-forge/noarch/urllib3-1.26.15-pyhd8ed1ab_0.conda#27db656619a55d727eaf5a6ece3d2fd6 https://conda.anaconda.org/conda-forge/noarch/requests-2.29.0-pyhd8ed1ab_0.conda#5fa992d972fbccfc069161805122cb8d https://conda.anaconda.org/conda-forge/noarch/pooch-1.7.0-pyha770c72_3.conda#5936894aade8240c867d292aa0d980c6 -https://conda.anaconda.org/conda-forge/linux-aarch64/scipy-1.10.1-py39hfa096b2_0.conda#46ec5fefe094813c3a3ee372bf801247 +https://conda.anaconda.org/conda-forge/linux-aarch64/scipy-1.10.1-py39hf88902c_3.conda#032bb28beb0c37c48b6e33dadc18f0ec diff --git a/doc/inspection.rst b/doc/inspection.rst index 57c1cfc3275e8..25577fdd25c45 100644 --- a/doc/inspection.rst +++ b/doc/inspection.rst @@ -29,3 +29,4 @@ to diagnose issues with model performance. modules/partial_dependence modules/permutation_importance + modules/metric_threshold_curve diff --git a/doc/modules/classes.rst b/doc/modules/classes.rst index dc13c292cb94d..b8151d1ec022b 100644 --- a/doc/modules/classes.rst +++ b/doc/modules/classes.rst @@ -651,6 +651,7 @@ Kernels: inspection.partial_dependence inspection.permutation_importance + inspection.metric_threshold_curve Plotting -------- diff --git a/doc/modules/metric_threshold_curve.rst b/doc/modules/metric_threshold_curve.rst new file mode 100644 index 0000000000000..d3736a1bbda47 --- /dev/null +++ b/doc/modules/metric_threshold_curve.rst @@ -0,0 +1,54 @@ + +.. _metric_threshold_curve: + +Metric threshold curve +====================== + +.. currentmodule:: sklearn.inspection + +Metric threshold curve is a model inspection technique that can be used +for any :term:`fitted` binary classification :term:`estimator`. The metric +threshold curve is defined to be how the threshold-dependent metric behaves +when we change the decision threshold. + +Let's consider the following trained binary classification model:: + + >>> import numpy as np + >>> import matplotlib.pyplot as plt + >>> from sklearn.datasets import make_classification + >>> from sklearn.ensemble import RandomForestClassifier + >>> from sklearn.model_selection import train_test_split + >>> from sklearn.metrics import fbeta_score + >>> from functools import partial + + >>> X, y = make_classification( + ... n_samples=10_000, weights=(0.95, ), random_state=42) + + >>> X_train_clf, X_test, y_train_clf, y_test = train_test_split( + ... X, y, random_state=42, stratify=y) + >>> X_train_clf, X_train_thr, y_train_clf, y_train_thr = train_test_split( + ... X_train_clf, y_train_clf, random_state=42, stratify=y_train_clf) + + >>> model = RandomForestClassifier(random_state=42).fit(X_train_clf, y_train_clf) + + >>> fbeta_score(y_test, model.predict(X_test), beta=2) + 0.462... + +Its validation performance, measured via the threshold-dependent metric f2 +score, is suboptimal because of the default threshold of 0.5. We can futher +look into the behaviour of that metric with:: + + >>> from sklearn.inspection import metric_threshold_curve + >>> predict_proba_thr = model.predict_proba(X_train_thr)[:, 1] + >>> f2_values, thresholds = metric_threshold_curve( + ... y_train_thr, predict_proba_thr, partial(fbeta_score, beta=2)) + + >>> best_thr = thresholds[np.argmax(f2_values)] + >>> best_thr + 0.21 + + >>> new_predict_test = (model.predict_proba(X_test)[:, 1] > best_thr).astype(int) + >>> fbeta_score(y_test, new_predict_test, beta=2) + 0.719... + +Note that the new choosen threshold optimizes the f2 score in the test set. diff --git a/doc/whats_new/v1.3.rst b/doc/whats_new/v1.3.rst index 31cc13373a9ce..faf43cf128574 100644 --- a/doc/whats_new/v1.3.rst +++ b/doc/whats_new/v1.3.rst @@ -319,6 +319,11 @@ Changelog :mod:`sklearn.inspection` ......................... +- |MajorFeature| :func:`inspection.metric_threshold_curve` has been added to + measure the relationship between the threshold used by a binary classifier + for a given threshold-dependent function. :pr:`25639` by + :user:`Carlo Lemos `. + - |API| :func:`inspection.partial_dependence` returns a :class:`utils.Bunch` with new key: `grid_values`. The `values` key is deprecated in favor of `grid_values` and the `values` key will be removed in 1.5. diff --git a/sklearn/_min_dependencies.py b/sklearn/_min_dependencies.py index cf53fa16c1e1a..5b201bf79a67a 100644 --- a/sklearn/_min_dependencies.py +++ b/sklearn/_min_dependencies.py @@ -17,7 +17,7 @@ SCIPY_MIN_VERSION = "1.5.0" JOBLIB_MIN_VERSION = "1.1.1" THREADPOOLCTL_MIN_VERSION = "2.0.0" -PYTEST_MIN_VERSION = "5.4.3" +PYTEST_MIN_VERSION = "7.1.2" CYTHON_MIN_VERSION = "0.29.33" diff --git a/sklearn/inspection/__init__.py b/sklearn/inspection/__init__.py index f73ffe8cff26f..09173c30ec1b0 100644 --- a/sklearn/inspection/__init__.py +++ b/sklearn/inspection/__init__.py @@ -7,10 +7,13 @@ from ._partial_dependence import partial_dependence from ._plot.partial_dependence import PartialDependenceDisplay +from ._metric_threshold_curve import metric_threshold_curve + __all__ = [ "partial_dependence", "permutation_importance", "PartialDependenceDisplay", "DecisionBoundaryDisplay", + "metric_threshold_curve", ] diff --git a/sklearn/inspection/_metric_threshold_curve.py b/sklearn/inspection/_metric_threshold_curve.py new file mode 100644 index 0000000000000..6139ac78c71ae --- /dev/null +++ b/sklearn/inspection/_metric_threshold_curve.py @@ -0,0 +1,178 @@ +"""Metrics per threshold curves are used to assess performance on binary +classification task given threshold grid. One can undestand the behaviour of +threshold-dependent metrics when changing the threshold. +""" + +# Authors: ######## +# License: BSD 3 clause + +from numbers import Real, Integral + +import numpy as np + +from ..utils import assert_all_finite +from ..utils import check_consistent_length +from ..utils.validation import ( + _check_pos_label_consistency, + _check_sample_weight, +) +from ..utils import column_or_1d +from ..utils.multiclass import type_of_target +from ..utils._param_validation import validate_params, Interval + + +@validate_params( + { + "y_true": ["array-like"], + "y_score": ["array-like"], + "score_func": [callable], + "threshold_grid": [ + Interval(Integral, 3, None, closed="left"), + "array-like", + None, + ], + "pos_label": [Real, str, "boolean", None], + "sample_weight": ["array-like", None], + } +) +def metric_threshold_curve( + y_true, + y_score, + score_func, + *, + threshold_grid=101, + pos_label=None, + sample_weight=None, +): + """Compute the threshold-dependent metric of interest per threshold. + + Note: this implementation is restricted to the binary classification task. + + Read more in the :ref:`User Guide `. + + .. versionadded:: 1.3 + + Parameters + ---------- + y_true : array-like of shape (n_samples,), default=None + True targets of binary classification. + + y_score : array-like of shape (n_samples,), default=None + Estimated probabilities or output of a decision function. + + score_func : callable + Threshold dependent score function (or loss function) with signature + `score_func(y, y_pred, sample_weight, **kwargs)`. + + threshold_grid : array-like, int or None, default=101 + Values of threhsold for each score calculation. If int then + `threshold_grid` percentiles of `y_score` are selected. If `None` then + all possible thresholds are selected. If int is lower then + `len(set(y_score))` then all possible thresholds are selected. + + pos_label : int, float, bool or str, default=None + The label of the positive class. + + sample_weight : array-like of shape (n_samples,), default=None + Sample weights. + + Returns + ------- + metric_values : ndarray of shape (n_thresholds,) + Score value for each threshold. At index i being the value of the + theshold-dependent metric for predictions score >= thresholds[i]. + + thresholds : ndarray of shape (n_thresholds,) + Ascending score values used as thresholds. + + See Also + -------- + precision_recall_curve : Compute precision-recall pairs for different + probability thresholds. + det_curve : Compute error rates for different probability thresholds. + roc_curve : Compute Receiver operating characteristic (ROC) curve. + + Examples + -------- + >>> import numpy as np + >>> from sklearn.metrics import accuracy_score + >>> from sklearn.inspection import metric_threshold_curve + >>> y_true = np.array([0, 0, 1, 1]) + >>> y_scores = np.array([0.1, 0.4, 0.35, 0.8]) + >>> accuracy_values, thresholds = metric_threshold_curve( + ... y_true, y_scores, accuracy_score) + >>> thresholds + array([0.1 , 0.35, 0.4 , 0.8 ]) + >>> accuracy_values + array([0.75, 0.5 , 0.75, 0.5 ]) + """ + # Check to make sure y_true is valid. + y_type = type_of_target(y_true, input_name="y_true") + if not (y_type == "binary" or (y_type == "multiclass" and pos_label is not None)): + raise ValueError("{0} format is not supported".format(y_type)) + + check_consistent_length(y_true, y_score, sample_weight) + y_true = column_or_1d(y_true) + y_score = column_or_1d(y_score) + assert_all_finite(y_true) + assert_all_finite(y_score) + + # Filter out zero-weighted samples, as they should not impact the result. + if sample_weight is not None: + sample_weight = column_or_1d(sample_weight) + sample_weight = _check_sample_weight(sample_weight, y_true) + nonzero_weight_mask = sample_weight != 0 + y_true = y_true[nonzero_weight_mask] + y_score = y_score[nonzero_weight_mask] + sample_weight = sample_weight[nonzero_weight_mask] + + pos_label = _check_pos_label_consistency(pos_label, y_true) + + # Make y_true a boolean vector. + y_true = y_true == pos_label + + # Sort scores and corresponding truth values. + desc_score_indices = np.argsort(y_score, kind="mergesort")[::-1] + y_score = y_score[desc_score_indices] + y_true = y_true[desc_score_indices] + if sample_weight is not None: + sample_weight = sample_weight[desc_score_indices] + + # Logic to see if we need to use all possible thresholds (distinct values). + all_thresholds = False + if threshold_grid is None: + all_thresholds = True + elif isinstance(threshold_grid, int): + if len(set(y_score)) < threshold_grid: + all_thresholds = True + + if all_thresholds: + # y_score typically has many tied values. Here we extract + # the indices associated with the distinct values. We also + # concatenate a value for the end of the curve. + distinct_value_indices = np.where(np.diff(y_score))[0] + threshold_idxs = np.r_[distinct_value_indices, y_true.size - 1] + thresholds = y_score[threshold_idxs[::-1]] + elif isinstance(threshold_grid, int): + # It takes representative score points to calculate the metric + # with these thresholds. + thresholds = np.percentile( + list(set(y_score)), np.linspace(0, 100, threshold_grid) + ) + else: + # If threshold_grid is an array then run some checks and sort + # it for consistency. + threshold_grid = column_or_1d(threshold_grid) + assert_all_finite(threshold_grid) + thresholds = np.sort(threshold_grid) + + # For each threshold calculates the metric. + metric_values = [] + for threshold in thresholds: + preds_threshold = (y_score > threshold).astype(int) + metric_values.append( + score_func(y_true, preds_threshold, sample_weight=sample_weight) + ) + # TODO: should we multithread the metric calculations? + + return np.array(metric_values), thresholds diff --git a/sklearn/inspection/tests/test_metric_threshold_curve.py b/sklearn/inspection/tests/test_metric_threshold_curve.py new file mode 100644 index 0000000000000..32684d7edfb61 --- /dev/null +++ b/sklearn/inspection/tests/test_metric_threshold_curve.py @@ -0,0 +1,125 @@ +import pytest +import numpy as np + +from functools import partial + +from numpy.testing import assert_allclose + +from sklearn.datasets import make_classification +from sklearn.ensemble import RandomForestClassifier +from sklearn.inspection import metric_threshold_curve +from sklearn.metrics import ( + accuracy_score, + f1_score, + fbeta_score, + precision_score, + recall_score, +) +from sklearn.utils.validation import check_random_state + + +def test_grid_int_bigger_than_set_then_all(): + """When `threshold_grid` parameter is bigger than the number of unique + `y_score` then `len(thresholds)` should be equal to `len(set(y_score))` + and thresholds should be the same from what we get with + `threshold_grid=None`. + """ + + X, y = make_classification() + clf = RandomForestClassifier(n_estimators=10, random_state=42).fit(X, y) + y_score = clf.predict_proba(X)[:, 1] + + _, thresholds_big_int = metric_threshold_curve( + y, y_score, accuracy_score, threshold_grid=len(set(y_score)) + 1000 + ) + + _, thresholds_none = metric_threshold_curve( + y, y_score, accuracy_score, threshold_grid=None + ) + + assert_allclose(thresholds_big_int, thresholds_none) + assert len(thresholds_big_int) == len(set(y_score)) + + +def test_binary_clf_curve_multiclass_error(): + rng = check_random_state(404) + y_true = rng.randint(0, 3, size=10) + y_pred = rng.rand(10) + msg = "multiclass format is not supported" + with pytest.raises(ValueError, match=msg): + metric_threshold_curve(y_true, y_pred, accuracy_score) + + +@pytest.mark.parametrize( + "metric", + [ + partial(fbeta_score, beta=3), + partial(fbeta_score, beta=0.5), + f1_score, + precision_score, + recall_score, + accuracy_score, + ], +) +def test_metric_threshold_curve_end_points(metric): + rng = check_random_state(0) + y_true = np.array([0] * 50 + [1] * 50) + y_score = rng.normal(3, size=100) + min_pred, max_score = min(y_score), max(y_score) + + metric_values, _ = metric_threshold_curve(y_true, y_score, metric) + + assert metric_values[0] == metric(y_true, (y_score > min_pred) * 1) + assert metric_values[-1] == metric(y_true, (y_score > max_score) * 1) + + +@pytest.mark.parametrize( + "metric", + [partial(fbeta_score, beta=3), precision_score, recall_score], +) +def test_zero_sample_weight_equals_excluding(metric): + rng = check_random_state(0) + y_true = np.array([0] * 50 + [1] * 50) + y_score = rng.normal(3, size=100) + + sample_weight = np.array([0] * 20 + [1] * 80) + metric_values_sw, _ = metric_threshold_curve( + y_true, y_score, metric, sample_weight=sample_weight + ) + + y_true_exclude = y_true[sample_weight != 0] + y_score_exclude = y_score[sample_weight != 0] + metric_values_exclude, _ = metric_threshold_curve( + y_true_exclude, y_score_exclude, metric + ) + + assert_allclose(metric_values_sw, metric_values_exclude) + + +def test_len_of_threshold_when_passing_int(): + y = [0] * 500 + [1] * 500 + y_score = list(range(1000)) + _, thresholds = metric_threshold_curve( + y, y_score, accuracy_score, threshold_grid=13 + ) + + assert len(thresholds) == 13 + + +def test_passing_the_grid(): + y = [0] * 500 + [1] * 500 + y_score = list(range(1000)) + + grid_sorted = np.array(list(range(200, 300))) + _, thresholds_sorted = metric_threshold_curve( + y, y_score, accuracy_score, threshold_grid=grid_sorted + ) + + assert_allclose(grid_sorted, thresholds_sorted) + + grid_not_sorted = grid_sorted[::-1] + _, thresholds_not_sorted = metric_threshold_curve( + y, y_score, accuracy_score, threshold_grid=grid_not_sorted + ) + + assert_allclose(grid_sorted, thresholds_not_sorted) diff --git a/sklearn/tests/test_public_functions.py b/sklearn/tests/test_public_functions.py index e62df15037b7d..445a4c64d64b1 100644 --- a/sklearn/tests/test_public_functions.py +++ b/sklearn/tests/test_public_functions.py @@ -174,6 +174,7 @@ def _check_function_param_validation( "sklearn.feature_selection.mutual_info_classif", "sklearn.feature_selection.mutual_info_regression", "sklearn.feature_selection.r_regression", + "sklearn.inspection.metric_threshold_curve", "sklearn.inspection.partial_dependence", "sklearn.inspection.permutation_importance", "sklearn.linear_model.orthogonal_mp",