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#! /usr/bin/env python
import openturns as ot
ot.TESTPREAMBLE()
distribution = ot.LogUniform(1.0, 2.5)
size = 10000
sample = distribution.getSample(size)
factory = ot.LogUniformFactory()
estimatedDistribution = factory.build(sample)
print("Distribution =", distribution)
print("Estimated distribution=", estimatedDistribution)
estimatedDistribution = factory.build()
print("Default distribution=", estimatedDistribution)
estimatedDistribution = factory.build(distribution.getParameter())
print("Distribution from parameters=", estimatedDistribution)
estimatedLogUniform = factory.buildAsLogUniform(sample)
print("LogUniform =", distribution)
print("Estimated logUniform=", estimatedLogUniform)
estimatedLogUniform = factory.buildAsLogUniform()
print("Default logUniform=", estimatedLogUniform)
estimatedLogUniform = factory.buildAsLogUniform(distribution.getParameter())
print("LogUniform from parameters=", estimatedLogUniform)
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