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Fix imports for py3, clean setup.py
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draperunner committed May 13, 2017
1 parent 9bcbcad commit 40213ba
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Showing 3 changed files with 5 additions and 66 deletions.
1 change: 0 additions & 1 deletion git_pretty/__init__.py
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from git_pretty import console_script_wrapper
68 changes: 4 additions & 64 deletions setup.py
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setup(
name='git-pretty',

# Versions should comply with PEP440. For a discussion on single-sourcing
# the version across setup.py and the project code, see
# https://packaging.python.org/en/latest/single_source_version.html
version='0.1.1',

version='0.1.2',
description='An implementation of Justin Hileman\'s chart from "Changing History, or How to Git Pretty"',
long_description=long_description,

# The project's main homepage.
url='https://github.com/draperunner/git-pretty',

# Author details
author='Mats Byrkjeland',
author_email='[email protected]',

# Choose your license
license='MIT',

# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 4 - Beta',

# Indicate who your project is intended for
'Intended Audience :: Developers',
# 'Topic :: Scientific/Engineering :: Artificial Intelligence',

# Pick your license as you wish (should match "license" above)
'Topic :: Software Development',
'Topic :: Software Development :: Version Control :: Git',
'License :: OSI Approved :: MIT License',

# Specify the Python versions you support here. In particular, ensure
# that you indicate whether you support Python 2, Python 3 or both.
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
],

# What does your project relate to?
keywords='git',

# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['contrib', 'docs', 'tests']),

# Alternatively, if you want to distribute just a my_module.py, uncomment
# this:
# py_modules=["my_module"],

# List run-time dependencies here. These will be installed by pip when
# your project is installed. For an analysis of "install_requires" vs pip's
# requirements files see:
# https://packaging.python.org/en/latest/requirements.html
install_requires=['future'],

# List additional groups of dependencies here (e.g. development
# dependencies). You can install these using the following syntax,
# for example:
# $ pip install -e .[dev,test]
extras_require={
'dev': [],
'test': [],
},

# If there are data files included in your packages that need to be
# installed, specify them here. If using Python 2.6 or less, then these
# have to be included in MANIFEST.in as well.
package_data={},

# Although 'package_data' is the preferred approach, in some case you may
# need to place data files outside of your packages. See:
# http://docs.python.org/3.4/distutils/setupscript.html#installing-additional-files # noqa
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
# data_files=[('my_data', ['data/data_file'])],

# To provide executable scripts, use entry points in preference to the
# "scripts" keyword. Entry points provide cross-platform support and allow
# pip to create the appropriate form of executable for the target platform.
entry_points={
'console_scripts': [
'git-pretty=git_pretty:console_script_wrapper'
'git-pretty=git_pretty.git_pretty:console_script_wrapper'
],
},
)
2 changes: 1 addition & 1 deletion test.py
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import unittest

import git_pretty
from git_pretty import git_pretty


def test_path(path):
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