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setup.py
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setup.py
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"""
To build with coverage of Cython files
export SM_CYTHON_COVERAGE=1
python -m pip install -e .
pytest --cov=statsmodels statsmodels
coverage html
"""
from setuptools import Command, Extension, find_packages, setup
from setuptools.dist import Distribution
from collections import defaultdict
import fnmatch
import os
from os.path import join as pjoin, relpath
from pathlib import Path
import shutil
import sys
import pkg_resources
SETUP_DIR = Path(__file__).parent.resolve()
try:
# SM_FORCE_C is a testing shim to force setup to use C source files
FORCE_C = int(os.environ.get("SM_FORCE_C", 0))
if FORCE_C:
raise ImportError("Force import error for testing")
from Cython import Tempita
from Cython.Build import cythonize
from Cython.Distutils import build_ext
HAS_CYTHON = True
except ImportError:
from setuptools.command.build_ext import build_ext
HAS_CYTHON = False
try:
import numpy # noqa: F401
HAS_NUMPY = True
except ImportError:
HAS_NUMPY = False
###############################################################################
# Key Values that Change Each Release
###############################################################################
# These are strictly installation requirements. Builds requirements are
# managed in pyproject.toml
INSTALL_REQUIRES = []
with open("requirements.txt", encoding="utf-8") as req:
for line in req.readlines():
INSTALL_REQUIRES.append(line.split("#")[0].strip())
CYTHON_MIN_VER = "0.29.26" # released 2020
EXTRAS_REQUIRE = {
"build": ["cython>=" + CYTHON_MIN_VER],
"develop": ["cython>=" + CYTHON_MIN_VER],
"docs": [
"sphinx",
"nbconvert",
"jupyter_client",
"ipykernel",
"matplotlib",
"nbformat",
"numpydoc",
"pandas-datareader",
],
}
###############################################################################
# Values that rarely change
###############################################################################
DISTNAME = "statsmodels"
DESCRIPTION = "Statistical computations and models for Python"
README = SETUP_DIR.joinpath("README.rst").read_text()
LONG_DESCRIPTION = README
MAINTAINER = "statsmodels Developers"
MAINTAINER_EMAIL = "[email protected]"
URL = "https://www.statsmodels.org/"
LICENSE = "BSD License"
DOWNLOAD_URL = ""
PROJECT_URLS = {
"Bug Tracker": "https://github.com/statsmodels/statsmodels/issues",
"Documentation": "https://www.statsmodels.org/stable/index.html",
"Source Code": "https://github.com/statsmodels/statsmodels",
}
CLASSIFIERS = [
"Development Status :: 4 - Beta",
"Environment :: Console",
"Programming Language :: Cython",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Operating System :: OS Independent",
"Intended Audience :: End Users/Desktop",
"Intended Audience :: Developers",
"Intended Audience :: Science/Research",
"Natural Language :: English",
"License :: OSI Approved :: BSD License",
"Topic :: Office/Business :: Financial",
"Topic :: Scientific/Engineering",
]
FILES_TO_INCLUDE_IN_PACKAGE = ["LICENSE.txt", "setup.cfg"]
FILES_COPIED_TO_PACKAGE = []
for filename in FILES_TO_INCLUDE_IN_PACKAGE:
if os.path.exists(filename):
dest = os.path.join("statsmodels", filename)
shutil.copy2(filename, dest)
FILES_COPIED_TO_PACKAGE.append(dest)
STATESPACE_RESULTS = "statsmodels.tsa.statespace.tests.results"
ADDITIONAL_PACKAGE_DATA = {
"statsmodels": FILES_TO_INCLUDE_IN_PACKAGE,
"statsmodels.datasets.tests": ["*.zip"],
"statsmodels.iolib.tests.results": ["*.dta"],
"statsmodels.stats.tests.results": ["*.json"],
"statsmodels.tsa.vector_ar.tests.results": ["*.npz", "*.dat"],
"statsmodels.stats.tests": ["*.txt"],
"statsmodels.stats.libqsturng": ["*.r", "*.txt", "*.dat"],
"statsmodels.stats.libqsturng.tests": ["*.csv", "*.dat"],
"statsmodels.sandbox.regression.tests": ["*.dta", "*.csv"],
STATESPACE_RESULTS: ["*.pkl", "*.csv"],
STATESPACE_RESULTS + ".frbny_nowcast": ["test*.mat"],
STATESPACE_RESULTS + ".frbny_nowcast.Nowcasting.data.US": ["*.csv"],
}
##############################################################################
# Extension Building
##############################################################################
CYTHON_COVERAGE = os.environ.get("SM_CYTHON_COVERAGE", False)
CYTHON_COVERAGE = CYTHON_COVERAGE in ("1", "true", '"true"')
CYTHON_TRACE_NOGIL = str(int(CYTHON_COVERAGE))
if CYTHON_COVERAGE:
print("Building with coverage for Cython code")
COMPILER_DIRECTIVES = {"linetrace": CYTHON_COVERAGE}
DEFINE_MACROS = [
("CYTHON_TRACE_NOGIL", CYTHON_TRACE_NOGIL),
("NPY_NO_DEPRECATED_API", "NPY_1_7_API_VERSION"),
]
exts = dict(
_stl={"source": "statsmodels/tsa/stl/_stl.pyx"},
_exponential_smoothers={
"source": "statsmodels/tsa/holtwinters/_exponential_smoothers.pyx"
}, # noqa: E501
_ets_smooth={
"source": "statsmodels/tsa/exponential_smoothing/_ets_smooth.pyx"
}, # noqa: E501
_innovations={"source": "statsmodels/tsa/_innovations.pyx"},
_hamilton_filter={
"source": "statsmodels/tsa/regime_switching/_hamilton_filter.pyx.in"
}, # noqa: E501
_kim_smoother={
"source": "statsmodels/tsa/regime_switching/_kim_smoother.pyx.in"
}, # noqa: E501
_arma_innovations={
"source": "statsmodels/tsa/innovations/_arma_innovations.pyx.in"
}, # noqa: E501
linbin={"source": "statsmodels/nonparametric/linbin.pyx"},
_qn={"source": "statsmodels/robust/_qn.pyx"},
_smoothers_lowess={
"source": "statsmodels/nonparametric/_smoothers_lowess.pyx"
}, # noqa: E501
)
statespace_exts = [
"statsmodels/tsa/statespace/_initialization.pyx.in",
"statsmodels/tsa/statespace/_representation.pyx.in",
"statsmodels/tsa/statespace/_kalman_filter.pyx.in",
"statsmodels/tsa/statespace/_filters/_conventional.pyx.in",
"statsmodels/tsa/statespace/_filters/_inversions.pyx.in",
"statsmodels/tsa/statespace/_filters/_univariate.pyx.in",
"statsmodels/tsa/statespace/_filters/_univariate_diffuse.pyx.in",
"statsmodels/tsa/statespace/_kalman_smoother.pyx.in",
"statsmodels/tsa/statespace/_smoothers/_alternative.pyx.in",
"statsmodels/tsa/statespace/_smoothers/_classical.pyx.in",
"statsmodels/tsa/statespace/_smoothers/_conventional.pyx.in",
"statsmodels/tsa/statespace/_smoothers/_univariate.pyx.in",
"statsmodels/tsa/statespace/_smoothers/_univariate_diffuse.pyx.in",
"statsmodels/tsa/statespace/_simulation_smoother.pyx.in",
"statsmodels/tsa/statespace/_cfa_simulation_smoother.pyx.in",
"statsmodels/tsa/statespace/_tools.pyx.in",
]
class CleanCommand(Command):
user_options = []
def initialize_options(self) -> None:
pass
def finalize_options(self) -> None:
pass
def run(self) -> None:
msg = """
python setup.py clean is not supported.
Use one of:
* `git clean -xdf` to clean all untracked files
* `git clean -Xdf` to clean untracked files ignored by .gitignore
"""
print(msg)
sys.exit(1)
def update_extension(extension, requires_math=True):
import numpy as np
numpy_includes = [np.get_include()]
extra_incl = pkg_resources.resource_filename("numpy", "core/include")
numpy_includes += [extra_incl]
numpy_includes = list(set(numpy_includes))
numpy_math_libs = {
"include_dirs": [np.get_include()],
"library_dirs": [os.path.join(np.get_include(), '..', 'lib')],
"libraries": ["npymath"]
}
if not hasattr(extension, "include_dirs"):
return
extension.include_dirs = list(set(extension.include_dirs + numpy_includes))
if requires_math:
extension.include_dirs += numpy_math_libs["include_dirs"]
extension.libraries += numpy_math_libs["libraries"]
extension.library_dirs += numpy_math_libs["library_dirs"]
class DeferredBuildExt(build_ext):
"""build_ext command for use when numpy headers are needed."""
def build_extensions(self):
self._update_extensions()
build_ext.build_extensions(self)
def _update_extensions(self):
for extension in self.extensions:
requires_math = extension.name in EXT_REQUIRES_NUMPY_MATH_LIBS
update_extension(extension, requires_math=requires_math)
cmdclass = {"clean": CleanCommand}
if not HAS_NUMPY:
cmdclass["build_ext"] = DeferredBuildExt
def check_source(source_name):
"""Chooses C or pyx source files, and raises if C is needed but missing"""
source_ext = ".pyx"
if not HAS_CYTHON:
source_name = source_name.replace(".pyx.in", ".c")
source_name = source_name.replace(".pyx", ".c")
source_ext = ".c"
if not os.path.exists(source_name):
msg = (
"C source not found. You must have Cython installed to "
"build if the C source files have not been generated."
)
raise IOError(msg)
return source_name, source_ext
def process_tempita(source_name):
"""Runs pyx.in files through tempita is needed"""
if source_name.endswith("pyx.in"):
with open(source_name, "r", encoding="utf-8") as templated:
pyx_template = templated.read()
pyx = Tempita.sub(pyx_template)
pyx_filename = source_name[:-3]
with open(pyx_filename, "w", encoding="utf-8") as pyx_file:
pyx_file.write(pyx)
file_stats = os.stat(source_name)
try:
os.utime(
pyx_filename,
ns=(file_stats.st_atime_ns, file_stats.st_mtime_ns),
)
except AttributeError:
os.utime(pyx_filename, (file_stats.st_atime, file_stats.st_mtime))
source_name = pyx_filename
return source_name
EXT_REQUIRES_NUMPY_MATH_LIBS = []
extensions = []
for config in exts.values():
uses_blas = True
source, ext = check_source(config["source"])
source = process_tempita(source)
name = source.replace("/", ".").replace(ext, "")
include_dirs = config.get("include_dirs", [])
depends = config.get("depends", [])
libraries = config.get("libraries", [])
library_dirs = config.get("library_dirs", [])
uses_numpy_libraries = config.get("numpy_libraries", False)
if uses_blas or uses_numpy_libraries:
EXT_REQUIRES_NUMPY_MATH_LIBS.append(name)
ext = Extension(
name,
[source],
include_dirs=include_dirs,
depends=depends,
libraries=libraries,
library_dirs=library_dirs,
define_macros=DEFINE_MACROS,
)
extensions.append(ext)
for source in statespace_exts:
source, ext = check_source(source)
source = process_tempita(source)
name = source.replace("/", ".").replace(ext, "")
EXT_REQUIRES_NUMPY_MATH_LIBS.append(name)
ext = Extension(
name,
[source],
include_dirs=["statsmodels/src"],
depends=[],
libraries=[],
library_dirs=[],
define_macros=DEFINE_MACROS,
)
extensions.append(ext)
if HAS_NUMPY:
for extension in extensions:
requires_math = extension.name in EXT_REQUIRES_NUMPY_MATH_LIBS
update_extension(extension, requires_math=requires_math)
if HAS_CYTHON:
extensions = cythonize(
extensions,
compiler_directives=COMPILER_DIRECTIVES,
language_level=3,
force=CYTHON_COVERAGE,
)
##############################################################################
# Construct package data
##############################################################################
package_data = defaultdict(list)
filetypes = ["*.csv", "*.txt", "*.dta"]
for root, _, filenames in os.walk(
pjoin(os.getcwd(), "statsmodels", "datasets")
): # noqa: E501
matches = []
for filetype in filetypes:
for filename in fnmatch.filter(filenames, filetype):
matches.append(filename)
if matches:
package_data[".".join(relpath(root).split(os.path.sep))] = filetypes
for root, _, _ in os.walk(pjoin(os.getcwd(), "statsmodels")):
if root.endswith("results"):
package_data[".".join(relpath(root).split(os.path.sep))] = filetypes
for path, filetypes in ADDITIONAL_PACKAGE_DATA.items():
package_data[path].extend(filetypes)
if os.path.exists("MANIFEST"):
os.unlink("MANIFEST")
class BinaryDistribution(Distribution):
def is_pure(self):
return False
setup(
name=DISTNAME,
maintainer=MAINTAINER,
ext_modules=extensions,
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
license=LICENSE,
url=URL,
download_url=DOWNLOAD_URL,
project_urls=PROJECT_URLS,
long_description=LONG_DESCRIPTION,
classifiers=CLASSIFIERS,
platforms="any",
cmdclass=cmdclass,
packages=find_packages(),
package_data=package_data,
distclass=BinaryDistribution,
include_package_data=False, # True will install all files in repo
install_requires=INSTALL_REQUIRES,
extras_require=EXTRAS_REQUIRE,
zip_safe=False,
python_requires=">=3.8",
)
# Clean-up copied files
for copy in FILES_COPIED_TO_PACKAGE:
os.unlink(copy)