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setup.py
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48 lines (42 loc) · 2.08 KB
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from pathlib import Path
from setuptools import setup, find_packages
from immuneML.environment.Constants import Constants
def import_requirements(filename) -> list:
with open(filename, 'r') as file:
requirements = file.read().split("\n")
return requirements
setup(
name="immuneML",
version=Constants.VERSION,
description="immuneML is a software platform for machine learning analysis of immune receptor repertoires.",
long_description=open("README.md").read(),
long_description_content_type="text/markdown",
author="immuneML Team",
author_email="milenpa@student.matnat.uio.no",
url="https://github.com/uio-bmi/immuneML",
install_requires=["pytest>=4", "pandas>=1", "PyYAML>=5.3", "scikit-learn>=0.23", "gensim>=3.8", "matplotlib>=3.1", "editdistance==0.5.3",
"regex", "tzlocal", "airr>=1", "pystache==0.5.4", "torch==1.5.1", "numpy>=1.18", "h5py>=2.9.0", "dill>=0.3", "tqdm>=0.24",
"tensorboard==1.14.0", "requests>=2.21", "plotly>=4", "logomaker>=0.8", "fishersapi", "matplotlib-venn>=0.11", "scipy"],
extras_require={
"TCRDist": ["parasail==1.2", "tcrdist3>=0.1.6"]
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: GNU Affero General Public License v3"
],
python_requires='>=3.7',
packages=find_packages(exclude=["test", "test.*", "performance_tests", "performance_tests.*"]),
package_data={
'immuneML': [str(Path('IO/dataset_import/conversion/*.csv')),
str(Path("presentation/html/templates/*.html")),
str(Path("presentation/html/templates/css/*.css")),
str(Path('encodings/atchley_kmer_encoding/*.csv'))] +
[str(Path("config/default_params/") / dir.name / "*.yaml") for dir in Path("./immuneML/config/default_params/").glob("*")],
},
entry_points={
'console_scripts': [
'immune-ml = immuneML.app.ImmuneMLApp:main',
'immune-ml-quickstart = immuneML.workflows.instructions.quickstart:main'
]
},
)