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#! /usr/bin/env python
import openturns as ot
ot.TESTPREAMBLE()
# Kolmogorov related functions
nValues = [
2,
5,
10,
20,
50,
100,
200,
500,
1000,
2000,
5000,
10000,
20000,
100000,
1000000,
]
xValues = [
0.0001,
0.0002,
0.0005,
0.001,
0.002,
0.005,
0.01,
0.02,
0.05,
0.1,
0.2,
0.5,
1.0,
1.2,
1.5,
2.0,
5.0,
10.0,
20.0,
50.0,
]
for i in range(len(nValues)):
n = nValues[i]
for j in range(len(xValues)):
x = xValues[j]
cdf = ot.DistFunc.pKolmogorov(n, x)
if cdf < 1e-16:
cdf = 0.0
ccdf = ot.DistFunc.pKolmogorov(n, x, True)
if ccdf < 1e-16:
ccdf = 0.0
print(f"pKolmogorov( {n} , {x:.12g} )={cdf:.6g} , complementary={ccdf:.6g}")
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