Total Complexity | 0 |
Total Lines | 32 |
Duplicated Lines | 0 % |
Changes | 0 |
1 | import setuptools |
||
2 | from klib import _version |
||
3 | |||
4 | with open("README.md", "r") as fh: |
||
5 | long_description = fh.read() |
||
6 | |||
7 | setuptools.setup( |
||
8 | name="klib", |
||
9 | version=f"{_version.__version__}", |
||
10 | author="Andreas Kanz", |
||
11 | author_email="[email protected]", |
||
12 | description="Customized data preprocessing functions for frequent tasks.", |
||
13 | long_description=long_description, |
||
14 | long_description_content_type="text/markdown", |
||
15 | url="https://github.com/akanz1/klib", |
||
16 | packages=setuptools.find_packages(), |
||
17 | classifiers=[ |
||
18 | "License :: OSI Approved :: MIT License", |
||
19 | "Operating System :: OS Independent", |
||
20 | "Programming Language :: Python :: 3.6", |
||
21 | "Programming Language :: Python :: 3.7", |
||
22 | "Programming Language :: Python :: 3.8" |
||
23 | ], |
||
24 | install_requires=[ |
||
25 | 'matplotlib >= 2.1.2', |
||
26 | 'numpy >= 1.13.3', |
||
27 | 'pandas >= 1.0.0', |
||
28 | 'seaborn >= 0.1.0', |
||
29 | 'scikit-learn >= 0.22', |
||
30 | ], |
||
31 | python_requires='>=3.6', |
||
32 | ) |
||
33 |