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setup.py
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#!/usr/bin/env python
import importlib.util
from pathlib import Path
from setuptools import find_namespace_packages, setup
spec = importlib.util.spec_from_file_location(
"atlas_building_tools.version",
"atlas_building_tools/version.py",
)
module = importlib.util.module_from_spec(spec)
spec.loader.exec_module(module)
VERSION = module.__version__
setup(
name="atlas-building-tools",
author="BlueBrain NSE",
author_email="bbp-ou-nse@groupes.epfl.ch",
version=VERSION,
description="Library containing tools for building atlases",
long_description="Library containing tools for building atlases",
url="https://bbpgitlab.epfl.ch/nse/atlas-building-tools",
download_url="git@bbpgitlab.epfl.ch:nse/atlas-building-tools.git",
license="BBP-internal-confidential",
python_requires=">=3.7",
install_requires=[
"atlas-direction-vectors>=0.1.1",
"atlas-splitter>=0.1.1",
"atlas-placement-hints>=0.1.1",
"atlas-densities>=0.1.1",
"cgal_pybind>=0.1.4",
"poisson-recon-pybind>=0.1.2", # python3.9/3.10 wheels for >=0.1.2
"voxcell>=3.0.0",
"click>=7.0",
"numpy>=1.15.0",
"rtree>=0.8.3", # soft dep required for trimesh to allow indexing
# Since version 1.6.0, scipy.optimize.linprog has fast, new methods for large, sparse problems
# from the HiGHS library. We use the "highs" method in the densities module.
"scipy>=1.6.0",
"trimesh>=2.38.10",
],
extras_require={
"cell-detection": [
"cairosvg>=2.4.2",
"scikit-image>=0.17.2",
"Pillow>=7.1.2",
],
"tests": ["pytest>=4.4.0", "cairosvg>=2.4.2"],
},
packages=find_namespace_packages(include=["atlas_building_tools*"]),
include_package_data=True,
entry_points={"console_scripts": ["atlas-building-tools=atlas_building_tools.app.cli:cli"]},
classifiers=[
"Development Status :: 2 - Pre-Alpha",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
],
)