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setup.py
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68 lines (66 loc) · 1.85 KB
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import setuptools
from spatialmeta._version import version
version = version
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="spatialMETA",
version=version,
url="https://github.com/RuonanTian/SpatialMETA",
author="Ruonan Tian",
author_email="ruonan.23@intl.zju.edu.cn",
description="spatialMETA: a deep learning framework for spatial multiomics",
long_description=long_description,
long_description_content_type='text/markdown',
packages=setuptools.find_packages(
exclude=["*docs*"]
),
install_requires=[
"sphinx_rtd_theme==1.2.0",
"sphinx-hoverxref==1.3.0",
"anndata==0.8.0",
"scanpy==1.8.1",
"pandas==1.4.2",
"matplotlib==3.5.2",
"seaborn==0.11.2",
"scikit-learn==0.24.1",
"einops==0.4.1",
"biopython==1.79",
"plotly==5.10.0",
"scipy==1.10.0",
"pyimzml==1.5.3",
"dash_bootstrap_components==1.5.0",
"dash_daq==0.5.0",
"python_dotplot",
"intervaltree==3.1.0",
"leidenalg",
"molmass",
"svgpathtools==1.6.1",
"shapely==2.0.3",
"numpy==1.21.6",
"numba==0.57.1",
"umap-learn==0.5.1",
"adjusttext==1.1.1",
"colour==0.1.5",
"kornia==0.7.2",
"elasticdeform",
"tifffile",
],
extras_require={
"gpu": [
"torch==2.2.2+cu121",
"torchvision==0.17.2+cu121",
"torchgeometry==0.1.2+cu121",
],
"cpu": [
"torch==2.2.2",
"torchvision==0.17.2",
"torchgeometry==0.1.2",
]
},
dependency_links=[
"https://download.pytorch.org/whl/cu121",
"https://miropsota.github.io/torch_packages_builder",
],
include_package_data=False,
)