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# -*- coding: utf-8 -*-
#
# you can install this to a local test virtualenv like so:
# virtualenv venv
# ./venv/bin/pip install --editable .
# ./venv/bin/pip install --editable .[dev] # with dev requirements, too
from setuptools import setup
from lynda import __version__
def read_file(filename, alt=None):
"""
Read the contents of filename or give an alternative result instead.
"""
lines = None
try:
with open(filename) as f:
lines = f.read()
except IOError:
lines = [] if alt is None else alt
return lines
requirements = read_file('requirements.txt')
trove_classifiers = [
'Development Status :: 4 - Beta',
'Environment :: Console',
'Intended Audience :: End Users/Desktop',
'License :: OSI Approved :: MIT License',
'Operating System :: OS Independent',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Programming Language :: Python :: Implementation :: CPython',
'Programming Language :: Python :: Implementation :: PyPy',
'Programming Language :: Python',
'Topic :: Education',
]
setup(
name='lynda-dl',
version=__version__,
maintainer='Nasir Khan',
maintainer_email='r0oth3x49@gmail.com',
license='MIT',
url='https://github.com/r0oth3x49/lynda-dl',
install_requires=requirements,
description='A cross-platform python based utility to download courses from lynda for personal offline use.',
keywords=['lynda-dl','lynda', 'download', 'education', 'video'],
classifiers=trove_classifiers,
packages=["lynda", "lynda._colorized"],
entry_points=dict(
console_scripts=[
'lynda-dl=lynda.lynda_dl:main'
]
),
platforms=['any'],
)
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