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#! /usr/bin/env python
import openturns as ot
ot.TESTPREAMBLE()
distribution = ot.Skellam(10.0, 5.0)
size = 10000
sample = distribution.getSample(size)
factory = ot.SkellamFactory()
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)
estimatedSkellam = factory.buildAsSkellam(sample)
print("Skellam =", distribution)
print("Estimated skellam=", estimatedSkellam)
estimatedSkellam = factory.buildAsSkellam()
print("Default skellam=", estimatedSkellam)
estimatedSkellam = factory.buildAsSkellam(distribution.getParameter())
print("Skellam from parameters=", estimatedSkellam)
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