import setuptools
from pathlib import Path

this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()

setuptools.setup(
    name='valentine',
    version='0.1.4',
    description='Valentine Matcher',
    license_files=('LICENSE',),
    author='<NAME>',
    author_email='<EMAIL>',
    maintainer='<NAME>',
    maintainer_email='<EMAIL>',
    url='https://delftdata.github.io/valentine/',
    download_url='https://github.com/delftdata/valentine/archive/refs/tags/v0.1.4.tar.gz',
    packages=setuptools.find_packages(exclude=('tests*', 'examples*')),
    install_requires=[
        'numpy>=1.21,<2.0',
        'scipy>=1.7,<2.0',
        'pandas>=1.3,<1.4',
        'nltk>=3.6,<3.7',
        'snakecase>=1.0,<2.0',
        'anytree>=2.8,<2.9',
        'six>=1.16,<1.17',
        'strsim==0.0.3',
        'networkx>=2.6,<2.7',
        'chardet>=4.0.0,<5.0.0',
        'python-Levenshtein==0.12.2',
        'PuLP>=2.5.1,<2.6',
        'pyemd==0.5.1',
        'python-dateutil>=2.8,<2.9'
    ],
    keywords=['matching', 'valentine', 'schema matching', 'dataset discovery', 'coma', 'cupid', 'similarity flooding'],
    include_package_data=True,
    python_requires='>=3.7,<3.11',
    long_description=long_description,
    long_description_content_type='text/markdown'
)

import setuptools
from pathlib import Path

this_directory = Path(__file__).parent
long_description = (this_directory / "README.md").read_text()

setuptools.setup(
    name='valentine',
    version='0.1.4',
    description='Valentine Matcher',
    license_files=('LICENSE',),
    author='<NAME>',
    author_email='<EMAIL>',
    maintainer='<NAME>',
    maintainer_email='<EMAIL>',
    url='https://delftdata.github.io/valentine/',
    download_url='https://github.com/delftdata/valentine/archive/refs/tags/v0.1.4.tar.gz',
    packages=setuptools.find_packages(exclude=('tests*', 'examples*')),
    install_requires=[
        'numpy>=1.21,<2.0',
        'scipy>=1.7,<2.0',
        'pandas>=1.3,<1.4',
        'nltk>=3.6,<3.7',
        'snakecase>=1.0,<2.0',
        'anytree>=2.8,<2.9',
        'six>=1.16,<1.17',
        'strsim==0.0.3',
        'networkx>=2.6,<2.7',
        'chardet>=4.0.0,<5.0.0',
        'python-Levenshtein==0.12.2',
        'PuLP>=2.5.1,<2.6',
        'pyemd==0.5.1',
        'python-dateutil>=2.8,<2.9'
    ],
    keywords=['matching', 'valentine', 'schema matching', 'dataset discovery', 'coma', 'cupid', 'similarity flooding'],
    include_package_data=True,
    python_requires='>=3.7,<3.11',
    long_description=long_description,
    long_description_content_type='text/markdown'
)
