#! /usr/bin/env python

import openturns as ot

ot.TESTPREAMBLE()


distribution = ot.Bernoulli(0.7)
size = 10000
sample = distribution.getSample(size)
factory = ot.BernoulliFactory()
estimatedDistribution = factory.build(sample)
print("distribution=", repr(distribution))
print("Estimated distribution=", repr(estimatedDistribution))
estimatedDistribution = factory.build()
print("Default distribution=", estimatedDistribution)
estimatedDistribution = factory.build(distribution.getParameter())
print("Distribution from parameters=", estimatedDistribution)
estimatedBernoulli = factory.buildAsBernoulli(sample)
print("Bernoulli          =", distribution)
print("Estimated Bernoulli=", estimatedBernoulli)
estimatedBernoulli = factory.buildAsBernoulli()
print("Default Bernoulli=", estimatedBernoulli)
estimatedBernoulli = factory.buildAsBernoulli(distribution.getParameter())
print("Bernoulli from parameters=", estimatedBernoulli)
result = factory.buildEstimator(sample)
estimatedDistribution = result.getDistribution()
print("Estimated distribution            =", repr(estimatedDistribution))
parameterDistribution = result.getParameterDistribution()
print("Parameter distribution            =", parameterDistribution)