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#! /usr/bin/env python
import openturns as ot
ot.TESTPREAMBLE()
distribution = ot.Arcsine(1.0, 2.5)
size = 10000
sample = distribution.getSample(size)
factory = ot.ArcsineFactory()
estimatedDistribution = factory.build(sample)
print("distribution=", repr(distribution))
print("Estimated distribution=", repr(estimatedDistribution))
# non-regression for #572
mydist = ot.ArcsineFactory().build(distribution.getSample(10))
myde = ot.MonteCarloExperiment(mydist, 10)
estimatedDistribution = factory.build()
print("Default distribution=", estimatedDistribution)
estimatedDistribution = factory.build(distribution.getParameter())
print("Distribution from parameters=", estimatedDistribution)
estimatedArcsine = factory.buildAsArcsine(sample)
print("Arcsine =", distribution)
print("Estimated Arcsine=", estimatedArcsine)
estimatedArcsine = factory.buildAsArcsine()
print("Default Arcsine=", estimatedArcsine)
estimatedArcsine = factory.buildAsArcsine(distribution.getParameter())
print("Arcsine from parameters=", estimatedArcsine)
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