setup.py
import os
import re
# To use a consistent encoding
from codecs import open as copen
from setuptools import find_packages, setup
here = os.path.abspath(os.path.dirname(__file__))
# Get the long description from the relevant file
with copen(os.path.join(here, 'README.rst'), encoding='utf-8') as f:
long_description = f.read()
def read(*parts):
with copen(os.path.join(here, *parts), 'r') as fp:
return fp.read()
def find_version(*file_paths):
version_file = read(*file_paths)
version_match = re.search(r"^__version__ = ['\"]([^'\"]*)['\"]",
version_file, re.M)
if version_match:
return version_match.group(1)
raise RuntimeError("Unable to find version string.")
__version__ = find_version("keras_bed_sequence", "__version__.py")
test_deps = [
"pytest",
"pytest-cov",
"coveralls",
"validate_version_code",
"codacy-coverage",
"silence_tensorflow",
"crr_labels"
]
extras = {
'test': test_deps,
}
setup(
name='keras_bed_sequence',
version=__version__,
description="Lazily one-hot encoding bed sequences using Keras Sequence.",
long_description=long_description,
url="https://github.com/LucaCappelletti94/keras_bed_sequence",
author="Luca Cappelletti",
author_email="cappelletti.luca94@gmail.com",
# Choose your license
license='MIT',
include_package_data=True,
python_requires='>3.5.2',
classifiers=[
'Development Status :: 3 - Alpha',
'License :: OSI Approved :: MIT License',
'Programming Language :: Python :: 3'
],
packages=find_packages(exclude=['contrib', 'docs', 'tests*']),
tests_require=test_deps,
# Add here the package dependencies
install_requires=[
"numpy",
"numba>=0.50",
"pandas",
"keras_mixed_sequence>=1.0.19",
"ucsc_genomes_downloader>=1.1.25"
],
extras_require=extras,
)