#!/usr/bin/env python

"""The setup script."""

from setuptools import setup, find_packages

with open('README.rst') as readme_file:
    readme = readme_file.read()

with open('HISTORY.rst') as history_file:
    history = history_file.read()

requirements = ['numpy>=1.17.2',
                'scipy>=1.3.1',
                'pandas>=0.25.1',
                'arviz>=0.9.0',
                'pystan>=2.19.1.1',
                'plotly>=4.9.0']

setup_requirements = ['pytest-runner', 
                      'numpy>=1.17.2',
                      'scipy>=1.3.1',
                      'pandas>=0.25.1',
                      'arviz>=0.9.0',
                      'pystan>=2.19.1.1',
                      'plotly>=4.9.0']

test_requirements = ['pytest>=3',
                    'numpy>=1.17.2',
                    'scipy>=1.3.1',
                    'pandas>=0.25.1',
                    'arviz>=0.9.0',
                    'pystan>=2.19.1.1',
                    'plotly>=4.9.0']

long_description = '''

Class method for Bayesian estimation and comparison of means

* Free software: MIT license

Features
--------

Class method that acts as a wrapper for a `pystan <https://pystan.readthedocs.io/en/latest/index.html>` formulation of a Bayesian 't-test' using the `BEST <https://pubmed.ncbi.nlm.nih.gov/22774788/>` implementation.

- Estimates the posterior distributions of the mean and standard deviation parameters for two samples, A and B

- Estimates of the posterior distribution of the difference in mean parameters for two samples, A and B.

- Provides summary statistics and visualisations for the estimated parameters.

- The prior parameters, sample count, random seed, credible intervals, HDI and parameter names can all be customised.

- The stan model object and stan model fit object can be accessed just like using `pystan <https://pystan.readthedocs.io/en/latest/index.html>` directly
'''

setup(
    author="Oliver Chipperfield",
    author_email='omc0dev@gmail.com',
    python_requires='>=3.5',
    classifiers=[
        'Development Status :: 2 - Pre-Alpha',
        'Intended Audience :: Developers',
        'License :: OSI Approved :: MIT License',
        'Natural Language :: English',
        'Programming Language :: Python :: 3.7',
        'Programming Language :: Python :: 3.8',
    ],
    description="Class method for Bayesian estimation and comparison of means",
    install_requires=requirements,
    license="MIT license",
    long_description=long_description,
    include_package_data=True,
    keywords='bayestestimation',
    name='bayestestimation',
    packages=find_packages(include=['bayestestimation', 'bayestestimation.*']),
    setup_requires=setup_requirements,
    test_suite='tests',
    tests_require=test_requirements,
    url='https://github.com/oli-chipperfield/bayestestimation',
    version='0.1.0',
    zip_safe=False,
)
