mirror of
https://github.com/vale981/poetry2nix
synced 2025-03-04 08:41:42 -05:00
Merge pull request #780 from razielgn/scipy-1-9-build-system
fix: add deps to build scipy 1.9
This commit is contained in:
commit
f73a356b8c
6 changed files with 108 additions and 2 deletions
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@ -2030,7 +2030,8 @@ lib.composeManyExtensions [
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if old.format != "wheel" then {
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nativeBuildInputs = (old.nativeBuildInputs or [ ]) ++
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[ pkgs.gfortran ] ++
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lib.optional (lib.versionAtLeast super.scipy.version "1.7.0") [ self.pythran ];
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lib.optional (lib.versionAtLeast super.scipy.version "1.7.0") [ self.pythran ] ++
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lib.optional (lib.versionAtLeast super.scipy.version "1.9.0") [ self.meson-python pkg-config ];
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propagatedBuildInputs = (old.propagatedBuildInputs or [ ]) ++ [ self.pybind11 ];
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setupPyBuildFlags = [ "--fcompiler='gnu95'" ];
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enableParallelBuilding = true;
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@ -2039,7 +2040,7 @@ lib.composeManyExtensions [
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sed -i '0,/from numpy.distutils.core/s//import setuptools;from numpy.distutils.core/' setup.py
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export NPY_NUM_BUILD_JOBS=$NIX_BUILD_CORES
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'';
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preBuild = ''
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preBuild = lib.optional (lib.versionOlder super.scipy.version "1.9.0") ''
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ln -s ${self.numpy.cfg} site.cfg
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'';
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} else old
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@ -129,6 +129,7 @@ builtins.removeAttrs
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setuptools = callTest ./setuptools { };
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scientific = callTest ./scientific { };
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scipy1_9 = callTest ./scipy1_9 { };
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test-group = callTest ./test-group { };
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}
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skipTests
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8
tests/scipy1_9/default.nix
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8
tests/scipy1_9/default.nix
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@ -0,0 +1,8 @@
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{ lib, poetry2nix, python3 }:
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poetry2nix.mkPoetryApplication {
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python = python3;
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pyproject = ./pyproject.toml;
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poetrylock = ./poetry.lock;
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src = lib.cleanSource ./.;
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}
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83
tests/scipy1_9/poetry.lock
generated
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83
tests/scipy1_9/poetry.lock
generated
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@ -0,0 +1,83 @@
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[[package]]
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name = "numpy"
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version = "1.23.3"
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description = "NumPy is the fundamental package for array computing with Python."
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category = "main"
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optional = false
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python-versions = ">=3.8"
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[[package]]
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name = "scipy"
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version = "1.9.3"
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description = "Fundamental algorithms for scientific computing in Python"
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category = "main"
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optional = false
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python-versions = ">=3.8"
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[package.dependencies]
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numpy = ">=1.18.5,<1.26.0"
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[package.extras]
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dev = ["flake8", "mypy", "pycodestyle", "typing_extensions"]
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doc = ["matplotlib (>2)", "numpydoc", "pydata-sphinx-theme (==0.9.0)", "sphinx (!=4.1.0)", "sphinx-panels (>=0.5.2)", "sphinx-tabs"]
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test = ["asv", "gmpy2", "mpmath", "pytest", "pytest-cov", "pytest-xdist", "scikit-umfpack", "threadpoolctl"]
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[metadata]
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lock-version = "1.1"
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python-versions = "^3.10"
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content-hash = "2bf99216d4d340995a6ecd5f50e972aca1c650e776af771e21cf8cf7394a06bd"
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[metadata.files]
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numpy = [
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{file = "numpy-1.23.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:c9f707b5bb73bf277d812ded9896f9512a43edff72712f31667d0a8c2f8e71ee"},
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{file = "numpy-1.23.3-cp310-cp310-macosx_11_0_arm64.whl", hash = "sha256:ffcf105ecdd9396e05a8e58e81faaaf34d3f9875f137c7372450baa5d77c9a54"},
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{file = "numpy-1.23.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0ea3f98a0ffce3f8f57675eb9119f3f4edb81888b6874bc1953f91e0b1d4f440"},
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{file = "numpy-1.23.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:004f0efcb2fe1c0bd6ae1fcfc69cc8b6bf2407e0f18be308612007a0762b4089"},
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{file = "numpy-1.23.3-cp310-cp310-win32.whl", hash = "sha256:98dcbc02e39b1658dc4b4508442a560fe3ca5ca0d989f0df062534e5ca3a5c1a"},
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{file = "numpy-1.23.3-cp310-cp310-win_amd64.whl", hash = "sha256:39a664e3d26ea854211867d20ebcc8023257c1800ae89773cbba9f9e97bae036"},
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{file = "numpy-1.23.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:1f27b5322ac4067e67c8f9378b41c746d8feac8bdd0e0ffede5324667b8a075c"},
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{file = "numpy-1.23.3-cp311-cp311-macosx_11_0_arm64.whl", hash = "sha256:2ad3ec9a748a8943e6eb4358201f7e1c12ede35f510b1a2221b70af4bb64295c"},
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{file = "numpy-1.23.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:bdc9febce3e68b697d931941b263c59e0c74e8f18861f4064c1f712562903411"},
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{file = "numpy-1.23.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:301c00cf5e60e08e04d842fc47df641d4a181e651c7135c50dc2762ffe293dbd"},
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{file = "numpy-1.23.3-cp311-cp311-win32.whl", hash = "sha256:7cd1328e5bdf0dee621912f5833648e2daca72e3839ec1d6695e91089625f0b4"},
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{file = "numpy-1.23.3-cp311-cp311-win_amd64.whl", hash = "sha256:8355fc10fd33a5a70981a5b8a0de51d10af3688d7a9e4a34fcc8fa0d7467bb7f"},
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{file = "numpy-1.23.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:bc6e8da415f359b578b00bcfb1d08411c96e9a97f9e6c7adada554a0812a6cc6"},
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{file = "numpy-1.23.3-cp38-cp38-macosx_11_0_arm64.whl", hash = "sha256:22d43376ee0acd547f3149b9ec12eec2f0ca4a6ab2f61753c5b29bb3e795ac4d"},
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{file = "numpy-1.23.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:a64403f634e5ffdcd85e0b12c08f04b3080d3e840aef118721021f9b48fc1460"},
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{file = "numpy-1.23.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:efd9d3abe5774404becdb0748178b48a218f1d8c44e0375475732211ea47c67e"},
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{file = "numpy-1.23.3-cp38-cp38-win32.whl", hash = "sha256:f8c02ec3c4c4fcb718fdf89a6c6f709b14949408e8cf2a2be5bfa9c49548fd85"},
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{file = "numpy-1.23.3-cp38-cp38-win_amd64.whl", hash = "sha256:e868b0389c5ccfc092031a861d4e158ea164d8b7fdbb10e3b5689b4fc6498df6"},
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{file = "numpy-1.23.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:09f6b7bdffe57fc61d869a22f506049825d707b288039d30f26a0d0d8ea05164"},
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{file = "numpy-1.23.3-cp39-cp39-macosx_11_0_arm64.whl", hash = "sha256:8c79d7cf86d049d0c5089231a5bcd31edb03555bd93d81a16870aa98c6cfb79d"},
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{file = "numpy-1.23.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:e5d5420053bbb3dd64c30e58f9363d7a9c27444c3648e61460c1237f9ec3fa14"},
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{file = "numpy-1.23.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d5422d6a1ea9b15577a9432e26608c73a78faf0b9039437b075cf322c92e98e7"},
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{file = "numpy-1.23.3-cp39-cp39-win32.whl", hash = "sha256:c1ba66c48b19cc9c2975c0d354f24058888cdc674bebadceb3cdc9ec403fb5d1"},
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{file = "numpy-1.23.3-cp39-cp39-win_amd64.whl", hash = "sha256:78a63d2df1d947bd9d1b11d35564c2f9e4b57898aae4626638056ec1a231c40c"},
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{file = "numpy-1.23.3-pp38-pypy38_pp73-macosx_10_9_x86_64.whl", hash = "sha256:17c0e467ade9bda685d5ac7f5fa729d8d3e76b23195471adae2d6a6941bd2c18"},
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{file = "numpy-1.23.3-pp38-pypy38_pp73-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:91b8d6768a75247026e951dce3b2aac79dc7e78622fc148329135ba189813584"},
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{file = "numpy-1.23.3-pp38-pypy38_pp73-win_amd64.whl", hash = "sha256:94c15ca4e52671a59219146ff584488907b1f9b3fc232622b47e2cf832e94fb8"},
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{file = "numpy-1.23.3.tar.gz", hash = "sha256:51bf49c0cd1d52be0a240aa66f3458afc4b95d8993d2d04f0d91fa60c10af6cd"},
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]
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scipy = [
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{file = "scipy-1.9.3-cp310-cp310-macosx_10_9_x86_64.whl", hash = "sha256:1884b66a54887e21addf9c16fb588720a8309a57b2e258ae1c7986d4444d3bc0"},
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{file = "scipy-1.9.3-cp310-cp310-macosx_12_0_arm64.whl", hash = "sha256:83b89e9586c62e787f5012e8475fbb12185bafb996a03257e9675cd73d3736dd"},
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{file = "scipy-1.9.3-cp310-cp310-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:1a72d885fa44247f92743fc20732ae55564ff2a519e8302fb7e18717c5355a8b"},
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{file = "scipy-1.9.3-cp310-cp310-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:d01e1dd7b15bd2449c8bfc6b7cc67d630700ed655654f0dfcf121600bad205c9"},
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{file = "scipy-1.9.3-cp310-cp310-win_amd64.whl", hash = "sha256:68239b6aa6f9c593da8be1509a05cb7f9efe98b80f43a5861cd24c7557e98523"},
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{file = "scipy-1.9.3-cp311-cp311-macosx_10_9_x86_64.whl", hash = "sha256:b41bc822679ad1c9a5f023bc93f6d0543129ca0f37c1ce294dd9d386f0a21096"},
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{file = "scipy-1.9.3-cp311-cp311-macosx_12_0_arm64.whl", hash = "sha256:90453d2b93ea82a9f434e4e1cba043e779ff67b92f7a0e85d05d286a3625df3c"},
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{file = "scipy-1.9.3-cp311-cp311-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:83c06e62a390a9167da60bedd4575a14c1f58ca9dfde59830fc42e5197283dab"},
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{file = "scipy-1.9.3-cp311-cp311-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:abaf921531b5aeaafced90157db505e10345e45038c39e5d9b6c7922d68085cb"},
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{file = "scipy-1.9.3-cp311-cp311-win_amd64.whl", hash = "sha256:06d2e1b4c491dc7d8eacea139a1b0b295f74e1a1a0f704c375028f8320d16e31"},
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{file = "scipy-1.9.3-cp38-cp38-macosx_10_9_x86_64.whl", hash = "sha256:5a04cd7d0d3eff6ea4719371cbc44df31411862b9646db617c99718ff68d4840"},
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{file = "scipy-1.9.3-cp38-cp38-macosx_12_0_arm64.whl", hash = "sha256:545c83ffb518094d8c9d83cce216c0c32f8c04aaf28b92cc8283eda0685162d5"},
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{file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:0d54222d7a3ba6022fdf5773931b5d7c56efe41ede7f7128c7b1637700409108"},
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{file = "scipy-1.9.3-cp38-cp38-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:cff3a5295234037e39500d35316a4c5794739433528310e117b8a9a0c76d20fc"},
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{file = "scipy-1.9.3-cp38-cp38-win_amd64.whl", hash = "sha256:2318bef588acc7a574f5bfdff9c172d0b1bf2c8143d9582e05f878e580a3781e"},
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{file = "scipy-1.9.3-cp39-cp39-macosx_10_9_x86_64.whl", hash = "sha256:d644a64e174c16cb4b2e41dfea6af722053e83d066da7343f333a54dae9bc31c"},
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{file = "scipy-1.9.3-cp39-cp39-macosx_12_0_arm64.whl", hash = "sha256:da8245491d73ed0a994ed9c2e380fd058ce2fa8a18da204681f2fe1f57f98f95"},
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{file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_aarch64.manylinux2014_aarch64.whl", hash = "sha256:4db5b30849606a95dcf519763dd3ab6fe9bd91df49eba517359e450a7d80ce2e"},
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{file = "scipy-1.9.3-cp39-cp39-manylinux_2_17_x86_64.manylinux2014_x86_64.whl", hash = "sha256:c68db6b290cbd4049012990d7fe71a2abd9ffbe82c0056ebe0f01df8be5436b0"},
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{file = "scipy-1.9.3-cp39-cp39-win_amd64.whl", hash = "sha256:5b88e6d91ad9d59478fafe92a7c757d00c59e3bdc3331be8ada76a4f8d683f58"},
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{file = "scipy-1.9.3.tar.gz", hash = "sha256:fbc5c05c85c1a02be77b1ff591087c83bc44579c6d2bd9fb798bb64ea5e1a027"},
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]
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13
tests/scipy1_9/pyproject.toml
Normal file
13
tests/scipy1_9/pyproject.toml
Normal file
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@ -0,0 +1,13 @@
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[tool.poetry]
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name = "scipy1_9"
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version = "0.1.0"
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description = ""
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authors = ["Your Name <you@example.com>"]
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[tool.poetry.dependencies]
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python = "^3.10"
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scipy = "~1.9.0"
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[build-system]
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requires = ["poetry-core"]
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build-backend = "poetry.core.masonry.api"
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0
tests/scipy1_9/scipy1_9/__init__.py
Normal file
0
tests/scipy1_9/scipy1_9/__init__.py
Normal file
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