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# Copyright 2022 The ml_dtypes Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
"""Setuptool-based build for ml_dtypes."""
import fnmatch
import platform
import numpy as np
from setuptools import Extension
from setuptools import setup
from setuptools.command.build_py import build_py as build_py_orig
if platform.system() == "Windows":
COMPILE_ARGS = [
"/std:c++17",
"/DEIGEN_MPL2_ONLY",
"/EHsc",
"/bigobj",
]
else:
COMPILE_ARGS = [
"-std=c++17",
"-DEIGEN_MPL2_ONLY",
"-fvisibility=hidden",
# -ftrapping-math is necessary because NumPy looks at floating point
# exception state to determine whether to emit, e.g., invalid value
# warnings. Without this setting, on Mac ARM we see spurious "invalid
# value" warnings when running the tests.
"-ftrapping-math",
]
exclude = ["third_party*"]
class build_py(build_py_orig): # pylint: disable=invalid-name
def find_package_modules(self, package, package_dir):
modules = super().find_package_modules(package, package_dir)
return [ # pylint: disable=g-complex-comprehension
(pkg, mod, file)
for (pkg, mod, file) in modules
if not any(
fnmatch.fnmatchcase(pkg + "." + mod, pat=pattern)
for pattern in exclude
)
]
setup(
ext_modules=[
Extension(
"ml_dtypes._ml_dtypes_ext",
[
"ml_dtypes/_src/dtypes.cc",
"ml_dtypes/_src/numpy.cc",
],
include_dirs=[
"third_party/eigen",
".",
np.get_include(),
],
extra_compile_args=COMPILE_ARGS,
)
],
cmdclass={"build_py": build_py},
)
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