climada_python/setup.py at main · M4dMonkey/climada_python · GitHub

History

89 lines (71 loc) · 1.9 KB

Raw

"""A setuptools based setup module.

"""

from pathlib import Path

from setuptools import setup, find_packages

here = Path(__file__).parent.absolute()

# Get the long description from the README file

with open(here.joinpath('README.md'), encoding='utf-8') as f:

long_description = f.read()

# Get the data recursively from the data folder

def package_files(directory):

return [str(path_object)

for path_object in directory.glob('**/*')

if path_object.is_file() and path_object.name[0] != '.'

]

extra_files = package_files(here / 'data')

# Add configuration files

extra_files.append(str(here / 'climada/conf/climada.conf'))

setup(

name='climada',

version='2.1.1',

description='CLIMADA in Python',

long_description=long_description,

url='https://github.com/davidnbresch/climada_python',

author='ETH',

license='OSI Approved :: GNU General Public License v3 (GPLv3)',

classifiers=[

# 3 - Alpha

# 4 - Beta

# 5 - Production/Stable

'Development Status :: 4 - Beta',

'Topic :: Climate Adaptation',

'Programming Language :: Python :: 3.8',

keywords='climate adaptation',

packages=find_packages(where='.'),

install_requires=[

'bottleneck',

'cartopy',

'cfgrib',

'contextily',

'dask',

'deprecation',

'geopandas',

'h5py',

'haversine',

'matplotlib',

'netcdf4',

'numba',

'overpy',

'pandas',

'pandas-datareader',

'pathos',

'peewee',

'pillow',

'pint',

'pybufrkit',

'pycountry',

'rasterio',

'scikit-learn',

'statsmodels',

'tables',

'tabulate',

'tqdm',

'xarray',

'xlrd',

'xlsxwriter',

'xmlrunner'

package_data={'': extra_files},

include_package_data=True

)

climada_python/setup.py at main · M4dMonkey/climada_python · GitHub

Expand file tree

Breadcrumbs

setup.py

Latest commit

History

Breadcrumbs

setup.py

File metadata and controls