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#! /usr/bin/env python
from __future__ import print_function
from openturns import *
TESTPREAMBLE()
RandomGenerator.SetSeed(0)
try:
distribution = Exponential(2.5, -1.3)
size = 10000
sample = distribution.getSample(size)
factory = ExponentialFactory()
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)
estimatedExponential = factory.buildAsExponential(sample)
print("Exponential =", distribution)
print("Estimated exponential=", estimatedExponential)
estimatedExponential = factory.buildAsExponential()
print("Default exponential=", estimatedExponential)
estimatedExponential = factory.buildAsExponential(
distribution.getParameter())
print("Exponential from parameters=", estimatedExponential)
sample = [[0.0]]*size
estimatedDistribution = factory.build(sample)
print("Estimated distribution=", repr(estimatedDistribution))
sample = [[1.0]]*size
estimatedDistribution = factory.build(sample)
print("Estimated distribution=", repr(estimatedDistribution))
except:
import sys
print("t_ExponentialFactory_std.py", sys.exc_info()[0], sys.exc_info()[1])
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