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setup.py
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setup.py
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#!/usr/bin/env python
import os
import unittest
from setuptools import setup, find_packages
VERSION = '0.3.3'
ENTRY_POINTS = {
'orange3.addon': (
'timeseries = orangecontrib.timeseries',
),
# Entry point used to specify packages containing tutorials accessible
# from welcome screen. Tutorials are saved Orange Workflows (.ows files).
'orange.widgets.tutorials': (
# Syntax: any_text = path.to.package.containing.tutorials
),
# Entry point used to specify packages containing widgets.
'orange.widgets': (
# Syntax: category name = path.to.package.containing.widgets
# Widget category specification can be seen in
# orangecontrib/datafusion/widgets/__init__.py
'Time Series = orangecontrib.timeseries.widgets',
),
# Widget help
"orange.canvas.help": (
'html-index = orangecontrib.timeseries.widgets:WIDGET_HELP_PATH',
)
}
# http://stackoverflow.com/a/37033551/892987
def discover_tests():
return unittest.defaultTestLoader.discover(
'orangecontrib.timeseries',
pattern='test_*.py',
top_level_dir='.')
if __name__ == '__main__':
setup(
name="Orange3-Timeseries",
description="Orange3 add-on for exploring time series and sequential data.",
long_description=open(os.path.join(os.path.dirname(__file__), 'README.md')).read(),
version=VERSION,
author='Bioinformatics Laboratory, FRI UL',
author_email='[email protected]',
url='https://github.com/biolab/orange3-timeseries',
license='CC-BY-NC-3.0',
keywords=(
'time series',
'sequence analysis',
'orange3 add-on',
'ARIMA',
'VAR model',
'forecast'
),
packages=find_packages(),
package_data={
"orangecontrib.timeseries.widgets": ["icons/*.svg",
"*.js"],
"orangecontrib.timeseries.widgets.highcharts": ["_highcharts/*.js",
"_highcharts/*.html",
"_highcharts/*.css",
"_highcharts/LICENSE"],
"orangecontrib.timeseries": ["datasets/*.tab",
"datasets/*.csv"],
},
install_requires=[
'Orange3',
'statsmodels>=0.6.1',
'pandas', # statsmodels requires this but doesn't have it in dependencies?
'pandas_datareader',
'numpy',
'scipy>=0.17',
],
entry_points=ENTRY_POINTS,
test_suite='setup.discover_tests',
namespace_packages=['orangecontrib'],
zip_safe=False,
classifiers=[
'Development Status :: 4 - Beta',
'Environment :: X11 Applications :: Qt',
'Environment :: Plugins',
'Programming Language :: Python',
'License :: Other/Proprietary License',
'Operating System :: OS Independent',
'Topic :: Scientific/Engineering :: Artificial Intelligence',
'Topic :: Scientific/Engineering :: Visualization',
'Topic :: Software Development :: Libraries :: Python Modules',
'Intended Audience :: Education',
'Intended Audience :: Science/Research',
'Intended Audience :: Developers',
]
)