mirror of
https://github.com/Doctorado-ML/benchmark.git
synced 2025-08-16 07:55:54 +00:00
64 lines
1.8 KiB
Python
64 lines
1.8 KiB
Python
import setuptools
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import os
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def readme():
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with open("README.md") as f:
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return f.read()
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def get_data(field):
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item = ""
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file_name = "_version.py" if field == "version" else "__init__.py"
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with open(os.path.join("benchmark", file_name)) as f:
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for line in f.readlines():
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if line.startswith(f"__{field}__"):
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delim = '"' if '"' in line else "'"
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item = line.split(delim)[1]
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break
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else:
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raise RuntimeError(f"Unable to find {field} string.")
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return item
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def import_scripts():
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result = []
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names = os.listdir(os.path.join("benchmark", "scripts"))
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for name in names:
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result.append(os.path.join("benchmark", "scripts", name))
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return result
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setuptools.setup(
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name="benchmark",
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version=get_data("version"),
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license=get_data("license"),
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description="Oblique decision tree with svm nodes",
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long_description=readme(),
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long_description_content_type="text/markdown",
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packages=setuptools.find_packages(),
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url="https://github.com/Doctorado-ML/benchmark",
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author=get_data("author"),
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author_email=get_data("author_email"),
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keywords="scikit-learn oblique-classifier oblique-decision-tree decision-\
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tree svm svc",
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classifiers=[
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"Development Status :: 4 - Beta",
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"License :: OSI Approved :: " + get_data("license"),
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"Programming Language :: Python :: 3.8",
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"Natural Language :: English",
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"Topic :: Scientific/Engineering :: Artificial Intelligence",
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"Intended Audience :: Science/Research",
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],
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install_requires=[
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"scikit-learn",
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"odte",
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"pandas",
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"mufs",
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"xlsxwriter",
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"tqdm",
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],
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zip_safe=False,
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scripts=import_scripts(),
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)
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