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#!/usr/bin/env python
from __future__ import print_function
from setuptools import setup, find_packages
from distutils.core import Command
import os
import re
import sys
import subprocess
# Generate version.py
with open('glue/version.py') as infile:
exec(infile.read())
# If the version is not stable, we can add a git hash to the __version__
if '.dev' in __version__: # noqa
# Find hash for __githash__ and dev number for __version__ (can't use hash
# as per PEP440)
command_hash = 'git rev-list --max-count=1 --abbrev-commit HEAD'
command_number = 'git rev-list --count HEAD'
try:
commit_hash = subprocess.check_output(
command_hash, shell=True).decode('ascii').strip()
commit_number = subprocess.check_output(
command_number, shell=True).decode('ascii').strip()
except Exception:
pass
else:
# We write the git hash and value so that they gets frozen if installed
with open(os.path.join('glue', '_githash.py'), 'w') as f:
f.write("__githash__ = \"{githash}\"\n".format(
githash=commit_hash))
f.write("__dev_value__ = \"{dev_value}\"\n".format(
dev_value=commit_number))
# We modify __version__ here too for commands such as egg_info
__version__ = re.sub('\.dev[^"]*', '.dev{0}'.format(commit_number),
__version__) # noqa
with open('README.rst') as infile:
LONG_DESCRIPTION = infile.read()
cmdclass = {}
# Define built-in plugins
entry_points = """
[glue.plugins]
export_d3po = glue.plugins.export_d3po:setup
export_plotly = glue.plugins.exporters.plotly.qt:setup
pv_slicer = glue.plugins.tools.pv_slicer:setup
coordinate_helpers = glue.plugins.coordinate_helpers:setup
spectral_cube = glue.plugins.data_factories.spectral_cube:setup
dendro_factory = glue.plugins.dendro_viewer:setup
dendro_viewer = glue.plugins.dendro_viewer.qt:setup
image_viewer = glue.viewers.image.qt:setup
scatter_viewer = glue.viewers.scatter.qt:setup
histogram_viewer = glue.viewers.histogram.qt:setup
profile_viewer = glue.viewers.profile.qt:setup
table_viewer = glue.viewers.table.qt:setup
data_exporters = glue.core.data_exporters:setup
fits_format = glue.io.formats.fits:setup
export_python = glue.plugins.tools:setup
[gui_scripts]
glue = glue.main:main
"""
install_requires = ['numpy>=1.9',
'pandas>=0.14',
'astropy>=2.0',
'matplotlib>=2.0',
'qtpy>=1.2',
'setuptools>=1.0',
'ipython>=4.0',
'ipykernel',
'qtconsole',
'dill>=0.2',
'xlrd>=1.0',
'h5py>=2.4',
'bottleneck>=1.2',
'mpl-scatter-density>=0.4']
# Glue can work with PyQt5 and PySide2. We first check if they are already
# installed before adding PyQt5 to install_requires, since the conda
# installation of PyQt5 is not recognized by install_requires.
try:
import PyQt5 # noqa
except ImportError:
try:
import PySide2 # noqa
except ImportError:
install_requires.append('PyQt5')
extras_require = {
'recommended': ['scipy',
'scikit-image',
'plotly'],
'astronomy': ['PyAVM',
'astrodendro',
'spectral-cube']
}
extras_require['all'] = (extras_require['recommended'] +
extras_require['astronomy'])
extras_require['test'] = ['pytest>=3.5,<3.7',
'pytest-cov',
'pytest-qt',
'pytest-faulthandler',
'objgraph',
'mock']
setup(name='glue-core',
version=__version__,
description='Multidimensional data visualzation across files',
long_description=LONG_DESCRIPTION,
author='Chris Beaumont, Thomas Robitaille',
author_email='glueviz@gmail.com',
url='http://glueviz.org',
install_requires=install_requires,
extras_require=extras_require,
classifiers=[
'Intended Audience :: Science/Research',
'Operating System :: OS Independent',
'Programming Language :: Python',
'Programming Language :: Python :: 2',
'Programming Language :: Python :: 2.7',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.3',
'Programming Language :: Python :: 3.4',
'Programming Language :: Python :: 3.5',
'Programming Language :: Python :: 3.6',
'Programming Language :: Python :: 3.7',
'Topic :: Scientific/Engineering :: Visualization',
'License :: OSI Approved :: BSD License'
],
packages=find_packages(),
entry_points=entry_points,
cmdclass=cmdclass,
package_data={'': ['*.ui', '*.glu','*.txt', '*.csv']})
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