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setup.py
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setup.py
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# Always prefer setuptools over distutils
from setuptools import setup, find_packages
from setuptools.command.test import test as TestCommand
from codecs import open # To use a consistent encoding
from os import path
import sys
here = path.abspath(path.dirname(__file__))
# Get the long description from the relevant file
with open(path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
setup(
name='pyprecag',
version='0.2.2',
description='A suite of tools for Precision Agriculture',
long_description=long_description,
# The project's main homepage.
url='https://github.com/CSIRO-Precision-Agriculture/pyprecag',
# Author details
author='Christina Ratcliff',
author_email='pat@csiro.au',
# Choose your license
license='CSIRO Open Source Software License Agreement',
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
# How mature is this project? Common values are
# 1 - Planning
# 2 - Pre-Alpha
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
# 6 - Mature
'Development Status :: 2 - Pre-Alpha',
# Indicate who your project is intended for
# 'Intended Audience :: ',
# 'Topic :: Todo :: Todo',
# Pick your license as you wish (should match "license" above)
'License :: OSI Approved :: BSD 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',
'Programming Language :: Python :: 2.7',
# 'Programming Language :: Python :: 3',
# 'Programming Language :: Python :: 3.2',
# 'Programming Language :: Python :: 3.3',
# 'Programming Language :: Python :: 3.4',
],
# What does your project relate to?
keywords='',
# You can just specify the packages manually here if your project is
# simple. Or you can use find_packages().
packages=find_packages(exclude=['tests']),
include_package_data=True,
platforms='any',
test_suite='tests.test_pyprecag',
# 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/technical.html#install-requires-vs-requirements-files
install_requires=[
'future',
'fiona',
'gdal', # Required Microsoft Visual C++ Compiler for Python 2.7
'rasterio>1,<=1.0.13', # Required Numpy
'geopandas>=0.4.0',
# These were included to prevent import errors:
'unidecode',
'scipy',
'chardet',
],
# 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': [
'bumpversion',
'check-manifest',
'ipython',
'ipdb',
'pylint',
'sphinx',
'sphinx_rtd_theme',
'wheel',
'twine',
],
'test': [
'pylint',
'tox',
],
},
# If there are data files included in your packages that need to be
# installed, specify them here using relative paths:
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
# In this case, 'data_file' will be installed into '<sys.prefix>/my_data'
# data_files=[('my_data', ['data/data_file'])],
data_files=[],
# 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.
# Delete either or both of these if not required (and remove the corresponding imports in the package __init__.py
entry_points={
},
# Is your project zip safe?
# zip_safe=True,
)