setup.cfg

# This file is used to configure your project.
# Read more about the various options under:
# http://setuptools.readthedocs.io/en/latest/setuptools.html#configuring-setup-using-setup-cfg-files

[metadata]
name = tabgan
description = Applying GAN in tabular data generation for uneven distribution
author = Insaf Ashrapov
author_email = iashrapov@gmail.com
license = Apache License 2.0
long_description = file: pip_desc.md
long_description_content_type = text/markdown; charset=UTF-8
url = https://github.com/Diyago/GAN-for-tabular-data
project_urls =
    Documentation = https://github.com/Diyago/GAN-for-tabular-data
# Change if running only on Windows, Mac or Linux (comma-separated)
platforms = any
# Add here all kinds of additional classifiers as defined under
# https://pypi.python.org/pypi?%3Aaction=list_classifiers
classifiers =
    Development Status :: 5 - Production/Stable
    Programming Language :: Python
    Programming Language :: Python :: 3
    Programming Language :: Python :: 3.9
    Programming Language :: Python :: 3.10
    Programming Language :: Python :: 3.11
    Programming Language :: Python :: 3.12
    Programming Language :: Python :: 3.13

[options]
zip_safe = False
packages = find:
include_package_data = True
package_dir =
    =src
# DON'T CHANGE THE FOLLOWING LINE! IT WILL BE UPDATED BY PYSCAFFOLD!
setup_requires =
# Add here dependencies of your project (semicolon/line-separated), e.g.
# install_requires = numpy; scipy
# The usage of test_requires is discouraged, see `Dependency Management` docs
# tests_require = pytest; pytest-cov
# Require a specific Python version, e.g. Python 2.7 or >= 3.4
# python_requires = >= 3.4
python_requires = >= 3.9
install_requires =
    pandas
    numpy>=2.0
    category_encoders
    torch>=1.0
    lightgbm>=2.2.3
    scikit_learn>=1.5.2
    torchvision
    python-dateutil
    tqdm
    xgboost
    be-great>=0.0.13
    matplotlib>=3.5
    requests

[options.packages.find]
where = src
exclude =
    tests
    Research
    images

[options.extras_require]
# Add here additional requirements for extra features, to install with:
# `pip install tabgan[PDF]` like:
# PDF = ReportLab; RXP
# Add here test requirements (semicolon/line-separated)
testing =
    pytest
    pytest-cov

[options.entry_points]
console_scripts =
    tabgan-generate = tabgan.cli:main

[test]
# py.test options when running `python setup.py test`
# addopts = --verbose
extras = True

[tool:pytest]
# Options for py.test:
# Specify command line options as you would do when invoking py.test directly.
# e.g. --cov-report html (or xml) for html/xml output or --junitxml junit.xml
# in order to write a coverage file that can be read by Jenkins.
addopts =
    --cov tabgan --cov-report term-missing
    --verbose
norecursedirs =
    dist
    build
    .tox
testpaths = tests
# Use pytest markers to select/deselect specific tests
# markers =
#     slow: mark tests as slow (deselect with '-m "not slow"')

[aliases]
dists = bdist_wheel

[bdist_wheel]
# Use this option if your package is pure-python
universal = 1

[build_sphinx]
source_dir = docs
build_dir = build/sphinx

[devpi:upload]
# Options for the devpi: PyPI server and packaging tool
# VCS export must be deactivated since we are using setuptools-scm
no-vcs = 1
formats = bdist_wheel

[flake8]
# Some sane defaults for the code style checker flake8
max-line-length = 88
extend-ignore = E203, W503
# ^  Black-compatible
#    E203 and W503 have edge cases handled by black
exclude =
    .tox
    build
    dist
    .eggs
    docs/conf.py
    Research
    images

[pyscaffold]
# PyScaffold's parameters when the project was created.
# This will be used when updating. Do not change!
version = 0.0.1
package = tabgan