<commit_before>from setuptools import setup
from setuptools import find_packages


def readme():
    with open('README.md', encoding='utf-8') as file:
        return file.read()


setup(
    name='LocText',
    version='1.0.1',
    description='NLP-based Relation Extraction (RE) of: Proteins <--> Cell Compartments',
    long_description=readme(),
    url='https://github.com/Rostlab/LocText',
    author='<NAME>, <NAME>',
    author_email='<EMAIL>',

    packages=find_packages(exclude=['tests']),

    test_suite='pytest-runner',
    setup_requires=['pytest'],

    dependency_links=[
        'https://github.com/Rostlab/nalaf/tree/develop#egg=nalaf'
    ],

    install_requires=[
        # 'nalaf',
        'scikit-learn == 0.18.1',<commit_msg>(TEMPORARY) force spacy to v1.7.5<commit_after>from setuptools import setup
from setuptools import find_packages


def readme():
    with open('README.md', encoding='utf-8') as file:
        return file.read()


setup(
    name='LocText',
    version='1.0.1',
    description='NLP-based Relation Extraction (RE) of: Proteins <--> Cell Compartments',
    long_description=readme(),
    url='https://github.com/Rostlab/LocText',
    author='<NAME>, <NAME>',
    author_email='<EMAIL>',

    packages=find_packages(exclude=['tests']),

    test_suite='pytest-runner',
    setup_requires=['pytest'],

    dependency_links=[
        'https://github.com/Rostlab/nalaf/tree/develop#egg=nalaf'
    ],

    install_requires=[
        # 'nalaf',
        'spacy == v1.7.5',
        'scikit-learn == 0.18.1',

{'fraction_non_alphanumeric': 0.1649417852522639, 'fraction_numerical': 0.014230271668822769, 'mean_word_length': 3.4074074074074074, 'pattern_counts': {'":': 0, '<': 11, '<?xml version=': 0, '>': 11, 'https://': 4, 'lorem ipsum': 0, 'www.': 0, 'xml': 0}, 'pii_count': 0, 'substrings_counts': 0, 'word_list_counts': {'cursed_substrings.json': 0, 'profanity_word_list.json': 0, 'sexual_word_list.json': 0, 'zh_pornsignals.json': 0}}
{'dir': 'git-commits-cleaned', 'id': '4948718', 'n_tokens_mistral': 544, 'n_tokens_neox': 523, 'n_words': 89}