simleng_ai/setup.py at development · sednabcn/simleng_ai · GitHub

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
24
25
26
27
28
29
30
31
32
33
34
35
36
37
38
39
40
41
42
43
44
45
46
47
48
49
50
51
52
53
54
55
56
57
58
59
60
61
62
63
64
65
66
67
68
69
70
71
72
73
74
75
76
77
78
79
80
81
82
<<<<<<< HEAD
import versioneer
from setuptools import find_packages, setup

=======
import tomllib
import versioneer
from setuptools import find_packages, setup

def read_pyproject(file_path):
    with open(file_path, 'rb') as file:
        data = tomllib.load(file)
    return data
# Read dependencies from pyproject.toml
config = read_pyproject('pyproject.toml')
requirements = config['build-system']['requires']

>>>>>>> c5abd60 (Update the package including categorical/mixture dataset preprocessing)
setup(
    name="simleng_ai",  # unknown option
    version=versioneer.get_version(),
    cmdclass=versioneer.get_cmdclass(),
    description="A module to develop Data_Analysis starategies",
<<<<<<< HEAD
    long_description="Data Analysis-Machine Learning",
=======
    long_description="Readme.md",
    #"Data Analysis-Machine Learning",
>>>>>>> c5abd60 (Update the package including categorical/mixture dataset preprocessing)
    long_description_content_type="text/x-rst",
    packages=find_packages(),
    classifiers=[
        "Programming Language :: Python :: 3",
        # License, see https://choosealicense.com
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
    ],
    url=[
        "https://github.com/sednabcn/simleng_ai",
        "https://github.com/sednabcn/simleng_ai/issues",
    ],
    # entry_points={
    #    "console_scripts": [""],
    # },
    author="Ruperto Pedro Bonet Chaple",
    author_email="ruperto.bonet@modelphysmat.com",
    License=["MIT"],
    # packages=["simleng_ai"],
    readme="Readme.md",  # unknown option
    python_requires=">=3.8",
    keywords="simleng data_analisys setuptools development",
    # manifest_in=["./input_file/simleng.txt","./datasets/*"],
<<<<<<< HEAD
    install_requires=[
        "biokit >=0.5.0",
        "colormap>=1.0.4",
        "matplotlib>=3.7.1",
        "numpy>=1.24.4",  # 1.24.4
        "packaging>=23",  # 21.3
        "pandas>=2.0.3",  # 2.0.3
        "scipy>=1.11.4",  # 1.8.0
        "statsmodels>=0.14.0",  # 0.14.0
        "scikit-learn>=1.3.0",
    ],
=======

    install_requires=requirements,
    package_data={"":  ["*.xlsx", "*.json", "*.cfg", "*.txt", "*.bin"],
         "_datasets_.pimas":["*"],
         "_datasets_.iris":["*"],
         "_datasets_.banknote":["*"],
         "output_results.pimas":["*"],
         "output_results.banknote":["*"],
                  },
    exclude_package_data={'simleng_ai':['__pycache__']},
>>>>>>> c5abd60 (Update the package including categorical/mixture dataset preprocessing)
    test_suite="nose.collector",
    tests_require=["nose"],
    scripts=["bin/api.py"],
    include_package_data=True,
    zip_safe=False,
)