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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",
"Cython>=0.29.18",
"pybind11>=2.4.3",
"pythran",
# 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=='3.6' and platform_machine=='aarch64'",
"numpy==1.19.2; python_version=='3.7' and platform_machine=='aarch64'",
# default numpy requirements
"numpy==1.16.5; python_version=='3.6' and platform_machine!='aarch64' and platform_python_implementation != 'PyPy'",
"numpy==1.16.5; python_version=='3.7' and platform_machine!='aarch64' and platform_python_implementation != 'PyPy'",
"numpy==1.17.3; python_version=='3.8' and platform_machine!='aarch64' and platform_python_implementation != 'PyPy'",
"numpy==1.19.3; python_version=='3.9' and platform_python_implementation != 'PyPy'",
# First PyPy versions for which there are numpy wheels
"numpy==1.19.0; python_version=='3.6' and platform_python_implementation=='PyPy'",
"numpy==1.20.0; python_version=='3.7' 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>='3.10'",
"numpy; python_version>='3.8' and platform_python_implementation=='PyPy'",
]