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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
try:
distribution = Chi(0.5)
size = 10000
sample = distribution.getSample(size)
factory = ChiFactory()
estimatedDistribution = factory.build(sample)
print("distribution=", repr(distribution))
print("Estimated distribution=", repr(estimatedDistribution))
distribution = Chi(1.0)
sample = distribution.getSample(size)
estimatedDistribution = factory.build(sample)
print("distribution=", repr(distribution))
print("Estimated distribution=", repr(estimatedDistribution))
distribution = Chi(2.5)
sample = distribution.getSample(size)
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)
estimatedChi = factory.buildAsChi(sample)
print("Chi =", distribution)
print("Estimated chi=", estimatedChi)
estimatedChi = factory.buildAsChi()
print("Default chi=", estimatedChi)
estimatedChi = factory.buildAsChi(distribution.getParameter())
print("Chi from parameters=", estimatedChi)
except:
import sys
print("t_ChiFactory_std.py", sys.exc_info()[0], sys.exc_info()[1])
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