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setup.py
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import pathlib
from setuptools import setup, find_packages
HERE = pathlib.Path(__file__).parent
VERSION = "0.1.4"
PACKAGE_NAME = "ADLStream"
AUTHOR = "Pedro Lara-Benítez & Manuel Carranza-García"
AUTHOR_EMAIL = "[email protected]"
URL = "https://adlstream.readthedocs.io"
PROJECT_URLS = {
"Download": "https://github.com/pedrolarben/ADLStream/tags",
"API Documentation": "https://adlstream.readthedocs.io/API/overview/",
"Paper": "https://doi.org/10.3233/ICA-200617",
}
CLASSIFIERS = [
"Development Status :: 3 - Alpha",
"Environment :: GPU :: NVIDIA CUDA :: 11.2",
"Programming Language :: Python",
"Programming Language :: Python :: 3 :: Only",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Intended Audience :: Developers",
"Intended Audience :: Education",
"Intended Audience :: Science/Research",
"License :: OSI Approved :: MIT License",
"Topic :: Scientific/Engineering",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Topic :: Scientific/Engineering :: Information Analysis",
"Topic :: Software Development",
"Topic :: Software Development :: Libraries",
"Topic :: Software Development :: Libraries :: Python Modules",
]
LICENSE = "MIT"
DESCRIPTION = "ADLStream is a novel asynchronous dual-pipeline deep learning framework for data stream mining"
LONG_DESCRIPTION = (HERE / "README.md").read_text()
LONG_DESC_TYPE = "text/markdown"
INSTALL_REQUIRES = [
"numpy",
"tensorflow>=2.1.0",
"tensorflow-addons>=0.11.0",
"keras-tcn",
"matplotlib",
"scikit-learn",
"kafka-python",
"matplotlib",
]
setup(
name=PACKAGE_NAME,
version=VERSION,
description=DESCRIPTION,
long_description=LONG_DESCRIPTION,
long_description_content_type=LONG_DESC_TYPE,
author=AUTHOR,
license=LICENSE,
author_email=AUTHOR_EMAIL,
url=URL,
project_urls=PROJECT_URLS,
classifiers=CLASSIFIERS,
install_requires=INSTALL_REQUIRES,
packages=find_packages(),
setup_requires=["pytest-runner"],
tests_require=["pytest>=4.4.1"],
)