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#!/usr/bin/env python
# -*- coding: utf-8 -*-
from pathlib import Path
from setuptools import find_packages, setup
# Package meta-data.
NAME = 'image_captioning'
DESCRIPTION = "Generating image captions"
EMAIL = "------"
AUTHOR = "----------"
REQUIRES_PYTHON = ">=3.7.0"
# The rest no need to touch too much :)
# ------------------------------------------------
# Except, perhaps the License and Trove Classifiers!
# Trove Classifiers: https://pypi.org/classifiers/
long_description = DESCRIPTION
# Load the package's VERSION file as a dictionary.
about = {}
ROOT_DIR = Path(__file__).resolve().parent
print(ROOT_DIR)
REQUIREMENTS_DIR = ROOT_DIR / 'requirements'
PACKAGE_DIR = ROOT_DIR / 'image_captioning'
with open(PACKAGE_DIR / "VERSION") as f:
_version = f.read().strip()
about["__version__"] = _version
# What packages are required for this module to be executed?
def list_reqs(fname="requirements.txt"):
with open(REQUIREMENTS_DIR / fname) as fd:
return fd.read().splitlines()
# Where the magic happens:
setup(
name=NAME,
version=about["__version__"],
description=DESCRIPTION,
long_description=long_description,
long_description_content_type="text/markdown",
author=AUTHOR,
author_email=EMAIL,
python_requires=REQUIRES_PYTHON,
packages=find_packages(exclude=("tests",)),
package_data={"regression_model": ["VERSION"]},
install_requires=list_reqs(),
extras_require={},
include_package_data=True,
license="BSD-3",
classifiers=[
# Trove classifiers
# Full list: https://pypi.python.org/pypi?%3Aaction=list_classifiers
"License :: OSI Approved :: MIT License",
"Programming Language :: Python",
"Programming Language :: Python :: 3",
"Programming Language :: Python :: 3.7",
"Programming Language :: Python :: 3.8",
"Programming Language :: Python :: 3.9",
"Programming Language :: Python :: 3.10",
"Programming Language :: Python :: 3.11",
"Programming Language :: Python :: Implementation :: CPython",
"Programming Language :: Python :: Implementation :: PyPy",
],
)