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setup.py
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setup.py
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#! /usr/bin/env python
"""Install script for sktime"""
# adapted from https://github.com/scikit-learn/scikit-learn/blob/d2476fb679f05e80c56e8b151ff0f6d7a470e4ae/setup.py#L20
import setuptools # need this due to versioning of setuptools vs distutils, see https://stackoverflow.com/questions/21136266/typeerror-dist-must-be-a-distribution-instance
import codecs
import os
import platform
import re
import shutil
import sys
import traceback
from distutils.command.clean import clean as Clean
from pkg_resources import parse_version
NUMPY_MIN_VERSION = "1.17.0"
SCIPY_MIN_VERSION = "1.2.0"
JOBLIB_MIN_VERSION = "0.13"
PANDAS_MIN_VERSION = "0.23.0"
SKLEARN_MIN_VERSION = "0.21.0"
STATSMODELS_MIN_VERSION = "0.9.0"
SCIKIT_POSTHOCS_MIN_VERSION = "0.5.0"
HERE = os.path.abspath(os.path.dirname(__file__))
def read(*parts):
# intentionally *not* adding an encoding option to open, See:
# https://github.com/pypa/virtualenv/issues/201#issuecomment-3145690
with codecs.open(os.path.join(HERE, *parts), 'r') as fp:
return fp.read()
def find_version(*file_paths):
version_file = read(*file_paths)
version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]", version_file, re.M)
if version_match:
return version_match.group(1)
else:
raise RuntimeError("Unable to find version string.")
WEBSITE = 'https://alan-turing-institute.github.io/sktime/'
DISTNAME = 'sktime'
DESCRIPTION = 'scikit-learn compatible toolbox for learning with time series/panel data'
with codecs.open('README.rst', encoding='utf-8-sig') as f:
LONG_DESCRIPTION = f.read()
MAINTAINER = 'F. Király'
MAINTAINER_EMAIL = '[email protected]'
URL = 'https://github.com/alan-turing-institute/sktime'
LICENSE = 'BSD-3-Clause'
DOWNLOAD_URL = 'https://pypi.org/project/sktime/#files'
PROJECT_URLS = {
'Issue Tracker': 'https://github.com/alan-turing-institute/sktime/issues',
'Documentation': WEBSITE,
'Source Code': 'https://github.com/alan-turing-institute/sktime'
}
VERSION = find_version('sktime', '__init__.py')
INSTALL_REQUIRES = (
'numpy>={}'.format(NUMPY_MIN_VERSION),
'scipy>={}'.format(SCIPY_MIN_VERSION),
'scikit-learn>={}'.format(SKLEARN_MIN_VERSION),
'pandas>={}'.format(PANDAS_MIN_VERSION),
'joblib>={}'.format(JOBLIB_MIN_VERSION),
'scikit-posthocs>={}'.format(SCIKIT_POSTHOCS_MIN_VERSION),
'statsmodels>={}'.format(STATSMODELS_MIN_VERSION)
)
CLASSIFIERS = [
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
'License :: OSI Approved',
'Programming Language :: Python',
'Topic :: Software Development',
'Topic :: Scientific/Engineering',
'Operating System :: Microsoft :: Windows',
'Operating System :: POSIX',
'Operating System :: Unix',
'Operating System :: MacOS',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7'
]
EXTRAS_REQUIRE = {
'tests': [
'pytest',
'pytest-cov'
],
'docs': [
'sphinx',
'sphinx-gallery',
'sphinx_rtd_theme',
'numpydoc',
'matplotlib'
]
}
# Optional setuptools features
# We need to import setuptools early, if we want setuptools features,
# as it monkey-patches the 'setup' function
# For some commands, use setuptools
SETUPTOOLS_COMMANDS = {
'develop', 'release', 'bdist_egg', 'bdist_rpm',
'bdist_wininst', 'install_egg_info', 'build_sphinx',
'egg_info', 'easy_install', 'upload', 'bdist_wheel',
'--single-version-externally-managed',
}
if SETUPTOOLS_COMMANDS.intersection(sys.argv):
import setuptools
extra_setuptools_args = dict(
zip_safe=False, # the package can run out of an .egg file
include_package_data=True,
extras_require={
'alldeps': EXTRAS_REQUIRE
},
)
else:
extra_setuptools_args = dict()
# Custom clean command to remove build artifacts
class CleanCommand(Clean):
description = "Remove build artifacts from the source tree"
def run(self):
Clean.run(self)
# Remove c files if we are not within a sdist package
cwd = os.path.abspath(os.path.dirname(__file__))
remove_c_files = not os.path.exists(os.path.join(cwd, 'PKG-INFO'))
if remove_c_files:
print('Will remove generated .c files')
if os.path.exists('build'):
shutil.rmtree('build')
for dirpath, dirnames, filenames in os.walk('sktime'):
for filename in filenames:
if any(filename.endswith(suffix) for suffix in
(".so", ".pyd", ".dll", ".pyc")):
os.unlink(os.path.join(dirpath, filename))
continue
extension = os.path.splitext(filename)[1]
if remove_c_files and extension in ['.c', '.cpp']:
pyx_file = str.replace(filename, extension, '.pyx')
if os.path.exists(os.path.join(dirpath, pyx_file)):
os.unlink(os.path.join(dirpath, filename))
for dirname in dirnames:
if dirname == '__pycache__':
shutil.rmtree(os.path.join(dirpath, dirname))
cmdclass = {'clean': CleanCommand}
# custom build_ext command to set OpenMP compile flags depending on os and
# compiler
# build_ext has to be imported after setuptools
try:
from numpy.distutils.command.build_ext import build_ext # noqa
class build_ext_subclass(build_ext):
def build_extensions(self):
from sktime._build_utils.openmp_helpers import get_openmp_flag
if not os.getenv('SKTIME_NO_OPENMP'):
openmp_flag = get_openmp_flag(self.compiler)
for e in self.extensions:
e.extra_compile_args += openmp_flag
e.extra_link_args += openmp_flag
build_ext.build_extensions(self)
cmdclass['build_ext'] = build_ext_subclass
except ImportError:
# Numpy should not be a dependency just to be able to introspect
# that python 3.6 is required.
pass
def configuration(parent_package='', top_path=None):
if os.path.exists('MANIFEST'):
os.remove('MANIFEST')
from numpy.distutils.misc_util import Configuration
config = Configuration(None, parent_package, top_path)
# Avoid non-useful msg:
# "Ignoring attempt to set 'name' (from ... "
config.set_options(
ignore_setup_xxx_py=True,
assume_default_configuration=True,
delegate_options_to_subpackages=True,
quiet=True
)
config.add_subpackage('sktime')
return config
def get_numpy_status():
"""
Returns a dictionary containing a boolean specifying whether NumPy
is up-to-date, along with the version string (empty string if
not installed).
"""
numpy_status = {}
try:
import numpy
numpy_version = numpy.__version__
numpy_status['up_to_date'] = parse_version(
numpy_version) >= parse_version(NUMPY_MIN_VERSION)
numpy_status['version'] = numpy_version
except ImportError:
traceback.print_exc()
numpy_status['up_to_date'] = False
numpy_status['version'] = ""
return numpy_status
def setup_package():
metadata = dict(
name=DISTNAME,
maintainer=MAINTAINER,
maintainer_email=MAINTAINER_EMAIL,
description=DESCRIPTION,
license=LICENSE,
url=URL,
download_url=DOWNLOAD_URL,
project_urls=PROJECT_URLS,
version=VERSION,
long_description=LONG_DESCRIPTION,
classifiers=CLASSIFIERS,
cmdclass=cmdclass,
python_requires=">=3.6",
install_requires=INSTALL_REQUIRES,
**extra_setuptools_args
)
# For some actions, NumPy is not required.
# They are required to succeed without Numpy for example when
# pip is used to install sktime when Numpy is not yet
# present in the system.
if len(sys.argv) == 1 or (
len(sys.argv) >= 2 and ('--help' in sys.argv[1:] or
sys.argv[1] in ('--help-commands',
'egg_info',
'--version',
'clean'))):
try:
from setuptools import setup
except ImportError:
from distutils.core import setup
metadata['version'] = VERSION
# otherwise check Python and NumPy version
else:
if sys.version_info < (3, 6):
raise RuntimeError(
"sktime requires Python 3.6 or later. The current"
" Python version is %s installed in %s."
% (platform.python_version(), sys.executable))
numpy_status = get_numpy_status()
numpy_req_str = "sktime requires NumPy >= {}.\n".format(
NUMPY_MIN_VERSION)
instructions = (f"Installation instructions are available on the "
f"sktime website: {WEBSITE}\n")
if numpy_status['up_to_date'] is False:
if numpy_status['version']:
raise ImportError("Your installation of "
"NumPy {} is out-of-date.\n{}{}"
.format(numpy_status['version'],
numpy_req_str, instructions))
else:
raise ImportError("NumPy is not installed.\n{}{}"
.format(numpy_req_str, instructions))
from numpy.distutils.core import setup
metadata['configuration'] = configuration
setup(**metadata)
if __name__ == "__main__":
setup_package()