# coding: utf-8

"""
    Deci Training Toolkit
"""

from setuptools import setup
from setuptools import find_packages

README_LOCATION = 'README.md'
REQ_LOCATION = 'requirements.txt'
VERSION_FILE = "version.txt"


def readme():
    """print long description"""
    with open(README_LOCATION) as f:
        return f.read()


def get_requirements():
    with open(REQ_LOCATION) as f:
        return f.read().splitlines()


def get_version():
    with open(VERSION_FILE) as f:
        return f.readline()


setup(
    name='super-gradients',
    version=get_version(),
    description="SuperGradients",
    author="<NAME>",
    author_email="<EMAIL>",
    url="https://deci-ai.github.io/super-gradients/welcome.html",
    keywords=["Deci", "AI", "Training", "Deep Learning", "Computer Vision", "PyTorch", "SOTA", "Recipes", "Pre Trained", "Models"],
    install_requires=get_requirements(),
    packages=find_packages(where='./src'),
    package_dir={'': 'src'},
    package_data={
        'super_gradients.recipes': ['*.yaml', '**/*.yaml'],
        'super_gradients.common': ['auto_logging/auto_logging_conf.json'],
        'super_gradients.examples': ['*.ipynb', '**/*.ipynb'],
    },
    long_description=readme(),
    long_description_content_type="text/markdown"
)

# coding: utf-8

"""
    Deci Training Toolkit
"""

from setuptools import setup
from setuptools import find_packages

README_LOCATION = 'README.md'
REQ_LOCATION = 'requirements.txt'
VERSION_FILE = "version.txt"


def readme():
    """print long description"""
    with open(README_LOCATION) as f:
        return f.read()


def get_requirements():
    with open(REQ_LOCATION) as f:
        return f.read().splitlines()


def get_version():
    with open(VERSION_FILE) as f:
        return f.readline()


setup(
    name='super-gradients',
    version=get_version(),
    description="SuperGradients",
    author="<NAME>",
    author_email="<EMAIL>",
    url="https://deci-ai.github.io/super-gradients/welcome.html",
    keywords=["Deci", "AI", "Training", "Deep Learning", "Computer Vision", "PyTorch", "SOTA", "Recipes", "Pre Trained", "Models"],
    install_requires=get_requirements(),
    packages=find_packages(where='./src'),
    package_dir={'': 'src'},
    package_data={
        'super_gradients.recipes': ['*.yaml', '**/*.yaml'],
        'super_gradients.common': ['auto_logging/auto_logging_conf.json'],
        'super_gradients.examples': ['*.ipynb', '**/*.ipynb'],
    },
    long_description=readme(),
    long_description_content_type="text/markdown"
)

# coding: utf-8 Deci Training Toolkit print long description