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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 inspect
import os
from os.path import dirname, join as pjoin, relpath
from pathlib import Path
import shutil
import sys
import numpy as np
from packaging.version import parse
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, __version__ as cython_version
from Cython.Build import cythonize
from Cython.Distutils import build_ext
HAS_CYTHON = True
CYTHON_3 = parse(cython_version) >= parse("3.0")
except ImportError:
from setuptools.command.build_ext import build_ext # noqa: F401
HAS_CYTHON = CYTHON_3 = False
SETUP_DIR = Path(__file__).parent.resolve()
###############################################################################
# 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())
DEVELOP_REQUIRES = []
with open("requirements-dev.txt", encoding="utf-8") as req:
for line in req.readlines():
DEVELOP_REQUIRES.append(line.split("#")[0].strip())
CYTHON_MIN_VER = "3.0.10" # released January 2023
EXTRAS_REQUIRE = {
"build": ["cython>=" + CYTHON_MIN_VER],
"develop": ["cython>=" + CYTHON_MIN_VER] + DEVELOP_REQUIRES,
"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 = "pystatsmodels@googlegroups.com"
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 :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: 3.12",
"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.stl.tests.results": ["*.csv"],
"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)
cmdclass = {"clean": CleanCommand}
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 OSError(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, 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
NUMPY_INCLUDES = sorted(
{np.get_include(), pjoin(dirname(inspect.getfile(np.core)), "include")}
)
NUMPY_MATH_LIBS = {
"include_dirs": [np.get_include()],
"library_dirs": [os.path.join(np.get_include(), "..", "lib")],
"libraries": ["npymath"],
}
extensions = []
for config in exts.values():
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)
include_dirs = sorted(set(include_dirs + NUMPY_MATH_LIBS["include_dirs"]))
libraries = sorted(set(libraries + NUMPY_MATH_LIBS["libraries"]))
library_dirs = sorted(set(library_dirs + NUMPY_MATH_LIBS["library_dirs"]))
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 = Extension(
name,
[source],
include_dirs=["statsmodels/src"] + NUMPY_MATH_LIBS["include_dirs"],
depends=[],
libraries=NUMPY_MATH_LIBS["libraries"],
library_dirs=NUMPY_MATH_LIBS["library_dirs"],
define_macros=DEFINE_MACROS,
)
extensions.append(ext)
COMPILER_DIRECTIVES["cpow"] = True
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=">=3.9",
)
# Clean-up copied files
for copy in FILES_COPIED_TO_PACKAGE:
os.unlink(copy)