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- import os
- from setuptools import setup, find_packages
- import subprocess
- import logging
-
- PACKAGE_NAME = 'tods'
-
- def read_file_entry_points(fname):
- with open(fname) as entry_points:
- return entry_points.read()
-
- def merge_entry_points():
- entry_list = ['tods/resources/.entry_points.ini']
- merge_entry = []
- for entry_name in entry_list:
- entry_point = read_file_entry_points(entry_name).replace(' ', '')
- path_list = entry_point.split('\n')[1:]
- merge_entry += path_list
- entry_point_merge = dict()
- entry_point_merge['d3m.primitives'] = list(set(merge_entry)) # remove dumplicated elements
- return entry_point_merge
-
- setup(
- name=PACKAGE_NAME,
- version='0.0.2',
- description='Automated Time-series Outlier Detection System',
- author='DATA Lab@Texas A&M University',
- author_email='khlai037@tamu.edu',
- url='https://tods-doc.github.io',
- packages=find_packages(exclude=['contrib', 'docs', 'tests*']),
- package_data={
- 'tods': ['resources/.entry_points.ini',
- 'resources/.requirements.txt',
- 'resources/default_pipeline.json'
- ]
- },
- install_requires=[
- 'tamu_d3m==2022.01.19',
- 'tamu_axolotl',
- 'numpy<=1.21.2',
- 'combo',
- 'simplejson==3.12.0',
- 'scikit-learn',
- 'statsmodels==0.11.1',
- 'PyWavelets>=1.1.1',
- 'pillow==7.1.2',
- 'tensorflow==2.4',
- 'keras==2.4.0',
- 'pyod',
- 'nimfa==1.4.0',
- 'stumpy==1.4.0',
- 'more-itertools==8.5.0',
- ],
-
- entry_points = merge_entry_points()
-
- )
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