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setup.py
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setup.py
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# *****************************************************************************
#
# Copyright (c) 2020, the pyEX authors.
#
# This file is part of the jupyterlab_templates library, distributed under the terms of
# the Apache License 2.0. The full license can be found in the LICENSE file.
#
import io
import os
import os.path
from codecs import open
from setuptools import find_packages, setup
pjoin = os.path.join
here = os.path.abspath(os.path.dirname(__file__))
name = "annotator"
def get_version(file, name="__version__"):
path = os.path.realpath(file)
version_ns = {}
with io.open(path, encoding="utf8") as f:
exec(f.read(), {}, version_ns)
return version_ns[name]
version = get_version(pjoin(here, name, "_version.py"))
with open(pjoin(here, "README.md"), encoding="utf-8") as f:
long_description = f.read().replace("\r\n", "\n")
requires = [
"dash>=1.9.0",
"dash_core_components>=1.8.0",
"dash_html_components>=1.0.2",
"dash_table>=4.6.0",
"pandas>=1.0",
]
requires_dev = requires + [
"black>=20.",
"bump2version>=1.0.0",
"flake8>=3.7.8",
"flake8-black>=0.2.1",
"mock",
"pytest>=4.3.0",
"pytest-cov>=2.6.1",
"Sphinx>=1.8.4",
"sphinx-markdown-builder>=0.5.2",
]
setup(
name=name,
version=version,
description="Dataset annotator",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/fashionlab/{name}".format(name=name),
author="Tim Paine",
author_email="[email protected]",
license="Apache 2.0",
classifiers=[
"Development Status :: 3 - Alpha",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
],
keywords="machine learning annotation data",
zip_safe=False,
packages=find_packages(exclude=[]),
install_requires=requires,
extras_require={
"dev": requires_dev,
},
)