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setup.py
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setup.py
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# Python MIAAIM implementation
# Developer: Joshua M. Hess, BSc
# Developed at the Vaccine & Immunotherapy Center, Mass. General Hospital
# Import setuptools
import setuptools
# Get the readme
def readme():
with open("README.md", encoding="UTF-8") as readme_file:
return readme_file.read()
# Pip configuration
configuration = {
"name": "miaaim-python",
"version": "0.0.1",
"description": "Multi-omics Image Alignment and Analysis by Information Manifolds",
"long_description": readme(),
"long_description_content_type": "text/markdown",
"classifiers": [
"Intended Audience :: Science/Research",
"Intended Audience :: Developers",
"License :: OSI Approved",
"Programming Language :: Python",
"Topic :: Software Development",
"Topic :: Scientific/Engineering",
"Operating System :: Microsoft :: Windows",
"Operating System :: POSIX",
"Operating System :: Unix",
"Operating System :: MacOS",
"Programming Language :: Python :: 3.6",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
],
"keywords": "high-dimensional image imaging mulitplex manifold-learning",
"url": "https://github.com/JoshuaHess12/miaaim-python",
"maintainer": "Joshua Hess",
"maintainer_email": "[email protected]",
"license": "MIT",
"package_dir": {"": "miaaim"},
"packages": setuptools.find_packages(where='miaaim'),
"install_requires":[
'scikit-image>=0.17.2',
'numpy>=1.19.5',
'pandas>=1.1.5',
'pyimzML>=1.4.1',
'nibabel>=3.2.1',
'scipy>=1.5.4',
'h5py>=3.1.0',
"pathlib",
"umap-learn>=0.5.1",
"uncertainties",
"seaborn",
"matplotlib",
"scikit-learn",
"PyYAML",
"hdi-utils==0.0.3.1"
]
}
# Apply setup
setuptools.setup(**configuration)