To describe what I mean, consider the following dummy example:
import numpy as np1
import numpy as np2
seed1 = 1
seed2 = 2
np1.random.seed(seed1)
np2.random.seed(seed2)
where np1.random.normal(0, 2, 1)
returns a value completely regardless of what seed2
was. (Which of course does not work in this example.
Is there anyway to have such functionality where there are two independent random generating objects?
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