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pyproject.toml
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pyproject.toml
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# Note that in maintenance branches, all build dependencies should
# have an upper bound equal to the most recent already-released version
# of the dependency. This to prevent that a future backwards-incompatible
# release will break the source build of a SciPy release.
# Do accept micro (bug-fix) releases. So for example, if pybind11 2.4.3 is
# the most recent version on PyPI:
#
# "pybind11>=2.4.3,<2.5.0",
[build-system]
requires = [
"wheel",
"setuptools<60.0", # do not increase, 60.0 enables vendored distutils
"Cython>=0.29.18",
"pybind11>=2.4.3",
"pythran>=0.9.12",
# NumPy dependencies - to update these, sync from
# https://github.com/scipy/oldest-supported-numpy/, and then
# update minimum version to match our install_requires min version
# ----------------------------------------------------------------
# numpy 1.19 was the first minor release to provide aarch64 wheels, but
# wheels require fixes contained in numpy 1.19.2
"numpy==1.19.2; python_version=='3.8' and platform_machine=='aarch64' and platform_python_implementation != 'PyPy'",
# aarch64 for py39 is covered by default requirement below
# arm64 on Darwin supports Python 3.8 and above requires numpy>=1.20.0
"numpy==1.20.0; python_version=='3.8' and platform_machine=='arm64' and platform_system=='Darwin'",
"numpy==1.20.0; python_version=='3.9' and platform_machine=='arm64' and platform_system=='Darwin'",
# default numpy requirements
"numpy==1.18.5; python_version=='3.8' and (platform_machine!='arm64' or platform_system!='Darwin') and platform_machine!='aarch64' and platform_python_implementation != 'PyPy'",
"numpy==1.19.3; python_version=='3.9' and (platform_machine!='arm64' or platform_system!='Darwin') and platform_python_implementation != 'PyPy'",
"numpy==1.21.4; python_version=='3.10' and platform_python_implementation != 'PyPy'",
# For Python versions which aren't yet officially supported,
# we specify an unpinned NumPy which allows source distributions
# to be used and allows wheels to be used as soon as they
# become available.
"numpy; python_version>='3.11'",
"numpy; python_version>='3.8' and platform_python_implementation=='PyPy'",
]
[project]
name = "SciPy"
license = {file = "LICENSE.txt"}
maintainers = [
{name = "SciPy Developers", email = "scipy-dev@python.org"},
]
# Note: Python and NumPy upper version bounds should be set correctly in
# release branches, see:
# https://scipy.github.io/devdocs/dev/core-dev/index.html#version-ranges-for-numpy-and-other-dependencies
requires-python = ">=3.8"
dependencies = [
"numpy>=1.18.5",
]
readme = "README.rst"
classifiers = [
"Development Status :: 5 - Production/Stable",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"License :: OSI Approved :: BSD License",
"Programming Language :: C",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Topic :: Software Development :: Libraries",
"Topic :: Scientific/Engineering",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX :: Linux",
"Operating System :: POSIX",
"Operating System :: Unix",
"Operating System :: MacOS",
]
dynamic = ['version', 'description']
[project.optional-dependencies]
test = [
"pytest",
"pytest-cov",
"pytest-xdist",
"asv",
"mpmath",
"gmpy2",
"threadpoolctl",
"scikit-umfpack",
]
doc = [
"sphinx!=3.1.0, !=4.1.0",
"pydata-sphinx-theme>=0.6.1",
"sphinx-panels>=0.5.2",
"matplotlib>2",
"numpydoc==1.1.0",
]
dev = [
"mypy",
"typing_extensions",
"pycodestyle",
"flake8",
]
[project.urls]
homepage = "https://scipy.org/"
documentation = "https://docs.scipy.org/doc/scipy/"
source = "https://github.com/scipy/scipy"
download = "https://github.com/scipy/scipy/releases"
tracker = "https://github.com/scipy/scipy/issues"