setup.cfg

[metadata]
name = radionets
version = 0.3.1
author = Kevin Schmidt, Felix Geyer
author_email = kevin3.schmidt@tu-dortmund.de, felix.geyer@tu-dortmund.de
license = MIT
description = Imaging radio interferometric data with neural networks
url = https://github.com/radionets-project/radionets
classifiers =
    Development Status :: 4 - Beta
    Intended Audience :: Science/Research
    License :: OSI Approved :: MIT License
    Natural Language :: English
    Operating System :: OS Independent
    Programming Language :: Python
    Programming Language :: Python :: 3.6
    Programming Language :: Python :: 3.7
    Programming Language :: Python :: 3.8
    Programming Language :: Python :: 3 :: Only
    Topic :: Scientific/Engineering :: Astronomy
    Topic :: Scientific/Engineering :: Physics
    Topic :: Scientific/Engineering :: Artificial Intelligence
    Topic :: Scientific/Engineering :: Information Analysis

[aliases]
test = pytest

[options]
packages = find:
zip_safe = False
setup_requires = pytest-runner
install_requires =
    fastai
    kornia
    pytorch-msssim
    numpy
    astropy
    tqdm
    click
    numba
    jupyter
    h5py
    scikit-image
    pandas
    toml
    pytest
    pytest-cov
    pytest-order
    comet_ml
    pre-commit
tests_require = pytest

[tool:pytest]
addopts = --verbose

[options.entry_points]
console_scripts =
    radionets_simulations = radionets.simulations.scripts.simulate_images:main
    radionets_training = radionets.dl_training.scripts.start_training:main
    radionets_evaluation = radionets.evaluation.scripts.start_evaluation:main