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setup.py
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from pathlib import Path
from setuptools import find_packages
from setuptools import setup
this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()
setup(
name='angorapy',
version='0.10.8',
description='Build Goal-driven Models of the Sensorimotor Cortex with Ease.',
long_description_content_type='text/markdown',
long_description=long_description,
url='http://www.angorapy.org',
author='Tonio Weidler',
author_email='research@tonioweidler.de',
license='GPL-3.0',
packages=find_packages(),
install_requires=[
"imageio==2.28.1",
# tensorflow and extensions
"tensorflow[and-cuda]==2.15.1",
"tensorflow_probability==0.23.0",
"tensorflow_graphics==2021.12.3",
"tensorflow_datasets",
"tqdm",
"simplejson",
"psutil",
"scipy",
"argcomplete",
"matplotlib",
"scikit-learn==1.2.2",
"pandas==1.4.4",
"nvidia-ml-py3",
"seaborn",
"distance",
"statsmodels==0.14.0",
"keras_cortex==0.0.8",
"mediapy",
# environments
"gymnasium[mujoco]==0.28.1",
"mujoco",
"dm_control==1.0.12",
"mujoco_utils",
],
extras_require={
"box2d": ["box2d-py==2.3.5",
"gymnasium[mujoco,box2d]==0.28.1"],
"webinterface": ["itsdangerous==2.0.1",
"werkzeug==2.0.3",
"Flask~=1.1.2",
"Jinja2==3.0.3",
"bokeh==2.3.3",
"flask_jsglue"],
},
include_package_data=True,
package_data={
"angorapy": ["tasks/**/*"],
},
classifiers=[
'Development Status :: 3 - Alpha',
'Intended Audience :: Science/Research',
'License :: OSI Approved :: GNU General Public License v3 (GPLv3)',
'Operating System :: POSIX :: Linux',
'Programming Language :: Python :: 3',
'Programming Language :: Python :: 3.8',
'Programming Language :: Python :: 3.9',
'Programming Language :: Python :: 3.10',
],
python_requires=">=3.8",
)