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72 lines
2.2 KiB
72 lines
2.2 KiB
"""
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Setup script for EMCAD.
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"""
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from setuptools import setup, find_packages
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import os
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# Read the README file
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with open("README.md", "r", encoding="utf-8") as fh:
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long_description = fh.read()
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# Read requirements
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with open("requirements.txt", "r", encoding="utf-8") as fh:
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requirements = [line.strip() for line in fh if line.strip() and not line.startswith("#")]
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setup(
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name="emcad",
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version="1.0.0",
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author="Md Mostafijur Rahman, Mustafa Munir, Radu Marculescu",
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author_email="mostafij.rahman@utexas.edu",
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description="Efficient Multi-scale Convolutional Attention Decoding for Medical Image Segmentation",
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long_description=long_description,
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long_description_content_type="text/markdown",
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url="https://github.com/SLDGroup/EMCAD",
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project_urls={
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"Bug Tracker": "https://github.com/SLDGroup/EMCAD/issues",
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"Documentation": "https://github.com/SLDGroup/EMCAD/docs",
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"Source Code": "https://github.com/SLDGroup/EMCAD",
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},
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packages=find_packages(where="src"),
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package_dir={"": "src"},
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classifiers=[
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"Development Status :: 4 - Beta",
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"Intended Audience :: Science/Research",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Topic :: Scientific/Engineering :: Medical Science Apps.",
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"License :: OSI Approved :: MIT License",
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"Programming Language :: Python :: 3",
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"Programming Language :: Python :: 3.8",
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"Programming Language :: Python :: 3.9",
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"Programming Language :: Python :: 3.10",
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"Operating System :: OS Independent",
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],
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python_requires=">=3.8",
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install_requires=requirements,
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extras_require={
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"dev": [
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"pytest>=6.0",
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"pytest-cov>=2.0",
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"black>=21.0",
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"isort>=5.0",
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"flake8>=3.8",
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"mypy>=0.800",
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],
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"docs": [
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"sphinx>=4.0",
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"sphinx-rtd-theme>=0.5",
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"sphinx-autodoc-typehints>=1.12",
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],
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},
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entry_points={
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"console_scripts": [
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"emcad-train=emcad.scripts.train:main",
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"emcad-test=emcad.scripts.test:main",
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],
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},
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include_package_data=True,
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package_data={
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"emcad": ["configs/*.yaml"],
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},
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)
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