同步操作将从 huanhuangongzi/mne-python 强制同步,此操作会覆盖自 Fork 仓库以来所做的任何修改,且无法恢复!!!
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#!/usr/bin/env python# Copyright (C) 2011-2019 Alexandre Gramfort# <alexandre.gramfort@inria.fr>import osimport os.path as opfrom setuptools import setup# get the version (don't import mne here, so dependencies are not needed)version = Nonewith open(op.join('mne', '_version.py'), 'r') as fid:for line in (line.strip() for line in fid):if line.startswith('__version__'):version = line.split('=')[1].strip().strip('\'')breakif version is None:raise RuntimeError('Could not determine version')descr = """MNE python project for MEG and EEG data analysis."""DISTNAME = 'mne'DESCRIPTION = descrMAINTAINER = 'Alexandre Gramfort'MAINTAINER_EMAIL = 'alexandre.gramfort@inria.fr'URL = 'https://mne.tools/dev/'LICENSE = 'BSD (3-clause)'DOWNLOAD_URL = 'http://github.com/mne-tools/mne-python'VERSION = versiondef package_tree(pkgroot):"""Get the submodule list."""# Adapted from VisPypath = op.dirname(__file__)subdirs = [op.relpath(i[0], path).replace(op.sep, '.')for i in os.walk(op.join(path, pkgroot))if '__init__.py' in i[2]]return sorted(subdirs)if __name__ == "__main__":if op.exists('MANIFEST'):os.remove('MANIFEST')with open('README.rst', 'r') as fid:long_description = fid.read()setup(name=DISTNAME,maintainer=MAINTAINER,include_package_data=True,maintainer_email=MAINTAINER_EMAIL,description=DESCRIPTION,license=LICENSE,url=URL,version=VERSION,download_url=DOWNLOAD_URL,long_description=long_description,long_description_content_type='text/x-rst',zip_safe=False, # the package can run out of an .egg fileclassifiers=['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',],platforms='any',python_requires='>=3.6',install_requires=['numpy>=1.11.3', 'scipy>=0.17.1'],packages=package_tree('mne'),package_data={'mne': [op.join('data', '*.sel'),op.join('data', 'icos.fif.gz'),op.join('data', 'coil_def*.dat'),op.join('data', 'helmets', '*.fif.gz'),op.join('data', 'FreeSurferColorLUT.txt'),op.join('data', 'image', '*gif'),op.join('data', 'image', '*lout'),op.join('data', 'fsaverage', '*.fif'),op.join('channels', 'data', 'layouts', '*.lout'),op.join('channels', 'data', 'layouts', '*.lay'),op.join('channels', 'data', 'montages', '*.sfp'),op.join('channels', 'data', 'montages', '*.txt'),op.join('channels', 'data', 'montages', '*.elc'),op.join('channels', 'data', 'neighbors', '*.mat'),op.join('datasets', 'sleep_physionet', 'SHA1SUMS'),op.join('gui', 'help', '*.json'),op.join('html', '*.js'),op.join('html', '*.css'),op.join('icons', '*.svg'),op.join('io', 'artemis123', 'resources', '*.csv'),op.join('io', 'edf', 'gdf_encodes.txt')]},entry_points={'console_scripts': ['mne = mne.commands.utils:main',]})
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