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setup.py
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86 lines (81 loc) · 2.69 KB
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#!/usr/bin/env python
# Copyright 2019 CSIRO (Data61)
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.
from setuptools import find_packages, setup
import versioneer
readme = open("README.md").read()
setup(
name="landshark",
version=versioneer.get_version(),
cmdclass=versioneer.get_cmdclass(),
description="Large-scale spatial inference with Tensorflow",
long_description=readme,
author="Data61",
author_email="dave.cole@data61.csiro.au",
url="https://github.com/data61/landshark",
packages=find_packages(),
package_dir={"landshark": "landshark"},
include_package_data=True,
entry_points={
"console_scripts": [
"landshark = landshark.scripts.cli:cli",
"skshark = landshark.scripts.skcli:cli",
"landshark-import = landshark.scripts.importers:cli",
"landshark-extract = landshark.scripts.extractors:cli",
]
},
install_requires=[
"numpy>=1.16.0",
"scipy>=0.19",
"click>=6.7",
"rasterio>=1.0.2",
"tables>=3.4.2",
"pyshp>=1.2.12",
"mypy>=0.521",
"mypy_extensions>=0.3.0",
"lru-dict>=1.1.6",
"tqdm>=4.19.6",
"scikit-learn>=0.20.0",
"tensorflow>=1.8,<2.0"
],
extras_require={
"dev": [
"jedi>=0.10.2",
"pytest>=3.1.3",
"pytest-flake8>=0.8.1",
"pytest-mock>=1.6.2",
"flake8-bugbear==18.2.0",
"flake8-builtins==1.4.1",
"pytest-cov>=2.5.1",
"flake8-comprehensions>=1.4.1",
"flake8-docstrings>=1.1.0",
"flake8-isort>=2.5",
"flake8-quotes>=0.11.0",
]
},
license="Apache 2.0",
zip_safe=False,
keywords="landshark",
classifiers=[
"Development Status :: 4 - Beta",
"License :: OSI Approved :: Apache Software License",
"Operating System :: POSIX",
"Natural Language :: English",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"Topic :: Software Development :: Libraries :: Python Modules",
],
)