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setup.py
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import setuptools
with open("README.md", "r", encoding="utf-8") as fh:
long_description = fh.read()
setuptools.setup(
name="fightchurn",
version="1.2.0",
author="Carl Gold",
author_email="carl@fightchurnwithdata.com",
description="Code from the book Fighting Churn With Data",
long_description=long_description,
long_description_content_type="text/markdown",
url="https://github.com/carl24k/fight-churn",
project_urls={
"Bug Tracker": "https://github.com/carl24k/fight-churn/issues",
},
classifiers=[
"Programming Language :: Python :: 3",
"License :: OSI Approved :: MIT License",
"Operating System :: OS Independent",
],
package_data={'fightchurn' : ['fightchurn/churnsim/*/*.csv',
'fightchurn/churnsim/*/*.sql',
'fightchurn/churnsim/*/*.yaml',
'fightchurn/listings/conf/*.json',
'fightchurn/listings/*/*.sql']},
include_package_data=True,
packages=['fightchurn',
'fightchurn.churnsim',
'fightchurn.churnsim.conf',
'fightchurn.churnsim.schema',
'fightchurn.listings',
'fightchurn.listings.conf',
'fightchurn.listings.chap3',
'fightchurn.listings.chap5',
'fightchurn.listings.chap6',
'fightchurn.listings.chap7',
'fightchurn.listings.chap8',
'fightchurn.listings.chap9',
'fightchurn.listings.chap10'],
scripts=['fightchurn/run_churn_listing.py',
'fightchurn/churnsim/churndb.py',
'fightchurn/churnsim/churnsim.py'],
python_requires=">=3.9,<3.13",
install_requires=["antlr4-python3-runtime~=4.9",
"bleach~=6.0",
"build~=0.10",
"certifi",
"chardet~=5.2",
"cloudpickle~=2.2",
"colorama~=0.4",
"cycler~=0.11",
"docutils~=0.20",
"greenlet~=3.0",
"hydra-core~=1.3",
"importlib-metadata~=6.8",
"joblib~=1.3",
"keyring~=24.2",
"kiwisolver~=1.4",
"llvmlite~=0.40",
"matplotlib~=3.7",
"numba~=0.57",
"numpy~=2.0",
"packaging~=23.1",
"pandas~=2.0",
"patsy~=0.5",
"Pillow~=10.3",
"filelock~=3.12",
"omegaconf~=2.3",
"pkginfo~=1.9",
"postgres~=4.0",
"psycopg2-binary~=2.9",
"psycopg2-pool~=1.1",
"Pygments~=2.16",
"pyparsing~=2.4",
"python-dateutil~=2.8",
"pytz~=2023.3",
"pytest",
"readme-renderer~=41.0",
"requests~=2.31",
"requests-toolbelt~=1.0",
"rfc3986~=1.5",
"scikit-learn~=1.6",
"scipy~=1.11",
"shap~=0.42",
"six~=1.16",
"slicer~=0.0",
"SQLAlchemy~=1.4",
"statsmodels~=0.14",
"toml~=0.10",
"tqdm~=4.66",
"twine~=4.0",
"urllib3~=2.0",
"webencodings~=0.5",
"xgboost~=2.1",
"zipp~=3.16"]
)