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#! /usr/bin/env python
import openturns as ot
ot.TESTPREAMBLE()
def clean(inPoint):
dim = inPoint.getDimension()
for i in range(dim):
if abs(inPoint[i]) < 1.0e-10:
inPoint[i] = 0.0
else:
inPoint[i] = 1e-4 * int(1e4 * inPoint[i])
return inPoint
iMax = 5
# First test
distribution = ot.Uniform()
algo0 = ot.LegendreFactory()
algo1 = ot.AdaptiveStieltjesAlgorithm(distribution)
print(algo1)
for i in range(iMax):
print(
distribution.getClassName() + " Reference(",
i,
")=",
clean(algo0.getRecurrenceCoefficients(i)),
)
print(
distribution.getClassName() + " AdaStielj(",
i,
")=",
clean(algo1.getRecurrenceCoefficients(i)),
)
# Second test
distribution = ot.Beta(0.5, 2.5, -1.0, 1.0)
algo0 = ot.JacobiFactory(0.5, 3.0, 1)
algo1 = ot.AdaptiveStieltjesAlgorithm(distribution)
print(algo1)
for i in range(iMax):
print(
distribution.getClassName() + " Reference(",
i,
")=",
clean(algo0.getRecurrenceCoefficients(i)),
)
print(
distribution.getClassName() + " AdaStielj(",
i,
")=",
clean(algo1.getRecurrenceCoefficients(i)),
)
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