Become benchmark suite

setup.py

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+import setuptools
+import os
+
+
+def readme():
+    with open("README.md") as f:
+        return f.read()
+
+
+def get_data(field):
+    item = ""
+    file_name = "_version.py" if field == "version" else "__init__.py"
+    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 import_scripts():
+    result = []
+    names = os.listdir(os.path.join("benchmark", "scripts"))
+    for name in names:
+        result.append(os.path.join("benchmark", "scripts", name))
+    return result
+
+
+setuptools.setup(
+    name="benchmark",
+    version=get_data("version"),
+    license=get_data("license"),
+    description="Oblique decision tree with svm nodes",
+    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 oblique-classifier oblique-decision-tree decision-\
+    tree svm svc",
+    classifiers=[
+        "Development Status :: 4 - Beta",
+        "License :: OSI Approved :: " + get_data("license"),
+        "Programming Language :: Python :: 3.8",
+        "Natural Language :: English",
+        "Topic :: Scientific/Engineering :: Artificial Intelligence",
+        "Intended Audience :: Science/Research",
+    ],
+    install_requires=[
+        "scikit-learn",
+        "odte",
+        "pandas",
+        "mufs",
+        "xlsxwriter",
+        "tqdm",
+    ],
+    zip_safe=False,
+    scripts=import_scripts(),
+)