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setup.py
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setup.py
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"""A setuptools based setup module.
See:
https://packaging.python.org/en/latest/distributing.html
https://github.com/pypa/sampleproject
"""
# Always prefer setuptools over distutils
from setuptools import setup, find_packages
# To use a consistent encoding
from codecs import open
from os import path
# Read some info from the where package itself
import where
here = path.abspath(path.dirname(__file__))
exe = where.__executable__
# Get the long description from the relevant file
with open(path.join(here, "README.md"), encoding="utf-8") as f:
long_description = f.read()
setup(
name=where.__name__,
version=where.__version__,
description=[s.replace("\n", " ") for s in where.__doc__.strip().split("\n\n")][0],
long_description=long_description,
# The project's main homepage.
url="https://github.com/kartverket/where",
# Author details
author="Norwegian Mapping Authority",
author_email="ann-silje.kirkvik@kartverket.no",
# See https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers=[
"Development Status :: 4 - Beta",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Natural Language :: English",
"Operating System :: MacOS",
"Operating System :: Microsoft",
"Operating System :: POSIX :: Linux",
"Programming Language :: Python :: 3",
"Topic :: Scientific/Engineering",
],
# What does your project relate to?
keywords="referenceframe vlbi slr gnss",
# Using find_packages to find all subpackages in where. This is done explicitly because find_packages uses a VERY
# long time to traverse the directory tree of data (and the exclude option to find_packages only excludes after
# doing a full traverse).
packages=["config", "where"] + ["where." + p for p in find_packages(where="where")],
# 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=[
"cython",
"folium",
"IPython",
"jplephem",
"matplotlib>=3.1.1",
"midgard>=1.3.0",
"numpy",
"pandas",
"pint",
"pycurl",
"scipy",
"colorama",
"h5py",
"netCDF4",
"python-editor",
"seaborn",
"cartopy",
],
# List additional groups of dependencies here (e.g. development dependencies). You can install these using the
# following syntax, for example:
# $ pip install -e .[optional,dev_tools]
extras_require={
"optional": [],
"dev_tools": ["black", "bumpversion", "flake8", "line_profiler", "mypy", "pytest"],
},
# 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={
# 'sample': ['package_data.dat'],
# },
# 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": [
f"{exe}=where.__main__:main",
f"{exe:profiler}=where.tools.profiler:profiler",
f"{exe:release}=where_release:main",
f"{exe:runner}=where.runner:main",
f"{exe:there}=where.there:main",
f"{exe:tools}=where.tools:main",
],
"gui_scripts": [],
},
)