# -*- coding: utf-8 -*-
"""
Created on Tue Sep 22 20:43:42 2020

@author: 49009427
"""
import setuptools


with open('README.md') as f:
    long_description = ''.join(f.readlines())


setuptools.setup(
    name="GenHMM1d", # Replace with your own username
    version="0.0.1",
    author="Mamadou Yamar Thioub and Bouchra R Nasri",
    author_email="mamadou-yamar.thioub@hec.ca",
    description="Inference, goodness-of-fit tests, and predictions for continuous and discrete univariate Hidden Markov Models (HMM). The goodness-of-fit test is based on a Cramer-von Mises statistic and uses parametric bootstrap to estimate the p-value. The description of the methodology is taken from Nasri et al (2020) <doi: 10.1029/2019WR025122>.",
    long_description_content_type="text/markdown",
    url="https://github.com/mamadouyamar/GenHMM1d",
    #packages=setuptools.find_packages(),
    classifiers=[
        "Programming Language :: Python :: 3",
        "License :: OSI Approved :: MIT License",
        "Operating System :: OS Independent",
    ],
    packages=['GenHMM1d'],
    #install_requires=['scipy','numpy','joblib','math','multiprocessing'],
    python_requires='>=3.6',
)