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setup.py
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setup.py
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"""
adapted from https://github.com/fmaussion/scispack;
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
here = path.abspath(path.dirname(__file__))
# Get the long description from the README file
with open(path.join(here, 'README.md'), encoding='utf-8') as f:
long_description = f.read()
# %%
setup(
name='MBsandbox',
version='0.0.1', # Required
description='Better mass balance models for OGGM', # Required
long_description=long_description, # Optional
# Denotes that our long_description is in Markdown; valid values are
# text/plain, text/x-rst, and text/markdown
#
# Optional if long_description is written in reStructuredText (rst) but
# required for plain-text or Markdown; if unspecified, "applications should
# attempt to render [the long_description] as text/x-rst; charset=UTF-8 and
# fall back to text/plain if it is not valid rst" (see link below)
#
# This field corresponds to the "Description-Content-Type" metadata field:
# https://packaging.python.org/specifications/core-metadata/#description-content-type-optional
long_description_content_type='text/markdown', # Optional (see note above)
url='https://github.com/OGGM/massbalance-sandbox',
# This should be your name or the name of the organization which owns the
# project.
author='Lilian Schuster, Fabien Maussion & OGGM contributors', # Optional
# This should be a valid email address corresponding to the author listed
# above.
# Classifiers help users find your project by categorizing it.
#
# For a list of valid classifiers, see https://pypi.org/classifiers/
classifiers=[ # Optional
# How mature is this project? Common values are
# 3 - Alpha
# 4 - Beta
# 5 - Production/Stable
'Development Status :: 3 - Alpha',
# Indicate who your project is intended for
'Intended Audience :: Science/Research',
'Topic :: Software Development :: Build Tools',
# Pick your license as you wish
'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 :: 3.9',
],
# This field adds keywords for your project which will appear on the
# project page. What does your project relate to?
# Note that this is a string of words separated by whitespace, not a list.
keywords='glaciers climate geosciences',
# You can just specify package directories manually here if your project is
# simple. Or you can use find_packages().
#
# Alternatively, if you just want to distribute a single Python file, use
# the `py_modules` argument instead as follows, which will expect a file
# called `my_module.py` to exist:
#
# py_modules=["my_module"],
#
packages=find_packages(exclude=['docs', 'MBsandbox.tests']),
# , 'massbalance-sandbox.tests']), # Required
# This field lists other packages that your project depends on to run.
# Any package you put here will be installed by pip when your project is
# installed, so they must be valid existing projects.
#
# For an analysis of "install_requires" vs pip's requirements files see:
# https://packaging.python.org/en/latest/requirements.html
# OGGM v153 needs to be installed
install_requires=[],
# 'numpy', 'pytest', 'matplotlib', 'scipy', 'pandas',
# 'xarray', 'netCDF4', 'shapely', 'tables', 'geopandas', 'salem',
# 'joblib', 'descartes','rasterio', 'motionless', 'scikit-image' 'oggm'
# List additional groups of dependencies here (e.g. development
# dependencies). Users will be able to install these using the "extras"
# syntax, for example:
#
# $ pip install sampleproject[dev]
#
# Similar to `install_requires` above, these must be valid existing
# projects.
extras_require={ # Optional
# 'test': ['pytest'],
# 'docs': ['ast']
},
python_requires='>=3.7',
# If there are data files included in your packages that need to be
# installed, specify them here.
#package_data={ # Optional
#},
#include_package_data=True,
#package_data={'': ['data/*.csv'], '':['MBsandbox/data/*.csv']},
# 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={}, # Optional
# 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.
#
# For example, the following would provide a command called `sample` which
# executes the function `main` from this package when invoked:
# entry_points={ # Optional
# 'console_scripts': [
# 'scispack=scispack.cli:main',
# ],
# },
# entry_points={ # Optional
# },
# List additional URLs that are relevant to your project as a dict.
#
# This field corresponds to the "Project-URL" metadata fields:
# https://packaging.python.org/specifications/core-metadata/#project-url-multiple-use
#
# Examples listed include a pattern for specifying where the package tracks
# issues, where the source is hosted, where to say thanks to the package
# maintainers, and where to support the project financially. The key is
# what's used to render the link text on PyPI.
project_urls={ # Optional
'Bug Reports': 'https://github.com/OGGM/massbalance-sandbox/issues',
},
)