Files
benchmark/setup.py

76 lines
1.9 KiB
Python

import setuptools
import os
def readme():
with open("README.md") as f:
return f.read()
def get_data(field, file_name="__init__.py"):
item = ""
with open(os.path.join("benchmark", file_name)) as f:
for line in f.readlines():
if line.startswith(f"__{field}__"):
delim = '"' if '"' in line else "'"
item = line.split(delim)[1]
break
else:
raise RuntimeError(f"Unable to find {field} string.")
return item
def get_requirements():
with open("requirements.txt") as f:
return f.read().splitlines()
def script_names():
scripts = [
"benchmark",
"best",
"build_best",
"build_grid",
"grid",
"list",
"main",
"pair_check",
"print_strees",
"report",
"summary",
"init_project",
"flask",
]
result = []
for script in scripts:
result.append(f"be_{script}=benchmark.scripts.be_{script}:main")
return result
setuptools.setup(
name="benchmark",
version=get_data("version", "_version.py"),
license=get_data("license"),
description="Benchmark of models with different datasets",
long_description=readme(),
long_description_content_type="text/markdown",
packages=setuptools.find_packages(),
url="https://github.com/Doctorado-ML/benchmark",
author=get_data("author"),
author_email=get_data("author_email"),
keywords="scikit-learn benchmark",
classifiers=[
"Development Status :: 4 - Beta",
"License :: OSI Approved :: " + get_data("license"),
"Programming Language :: Python :: 3.10",
"Natural Language :: English",
"Topic :: Scientific/Engineering :: Artificial Intelligence",
"Intended Audience :: Science/Research",
],
install_requires=get_requirements(),
zip_safe=False,
entry_points={
"console_scripts": script_names(),
},
)