Note
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Random generator parametrization¶
The seed of the pseudo random generator is initialized to 0 when the module is imported.
It means the same script will yield the same results across several replications.
It is also possible to initialize the random generator differently:
by setting a seed
by setting the complete generator state
import openturns as ot
import os
import time
ot.Log.Show(ot.Log.NONE)
Example 0: using a fixed seed¶
ot.RandomGenerator.SetSeed(77)
Example 1: using the python process id¶
ot.RandomGenerator.SetSeed(os.getpid())
Example 2: using the time in milliseconds¶
ot.RandomGenerator.SetSeed(int(1000 * time.time() % 1e9))
Example 3: using a previously saved generator state¶
# use the random generator
ot.Normal().getSample(100)
# save the generator state
particularState = ot.RandomGenerator.GetState()
ot.Normal().getRealization()
load the generator state
ot.RandomGenerator.SetState(particularState)
ot.Normal().getRealization()