What is the scope of a random seed in Python?
Question:
If I use the Python function random.seed(my_seed) in one class in my module, will this seed remain for all the other classes instantiated in this module?
Answers:
Yes, the seed is set for the (hidden) global Random() instance in the module. From the documentation:
The functions supplied by this module are actually bound methods of a hidden instance of the random.Random class. You can instantiate your own instances ofRandom to get generators that don’t share state.
Use separate Random() instances if you need to keep the seeds separate; you can pass in a new seed when you instantiate it:
>>> from random import Random
>>> myRandom = Random(anewseed)
>>> randomvalue = myRandom.randint(0, 10)
The class supports the same interface as the module.
If I use the Python function random.seed(my_seed) in one class in my module, will this seed remain for all the other classes instantiated in this module?
Yes, the seed is set for the (hidden) global Random() instance in the module. From the documentation:
The functions supplied by this module are actually bound methods of a hidden instance of the
random.Randomclass. You can instantiate your own instances ofRandomto get generators that don’t share state.
Use separate Random() instances if you need to keep the seeds separate; you can pass in a new seed when you instantiate it:
>>> from random import Random
>>> myRandom = Random(anewseed)
>>> randomvalue = myRandom.randint(0, 10)
The class supports the same interface as the module.