通过numpy.random.seed设置的随机种子是否在子模块之间维护？

Question

If I set a seed for my RNG eg numpy.random.seed(0) and I call a submodule, will the RNG's state be maintained?

eg

# some_lib.py
def do_thing():
  return numpy.random.rand()

# parent module
import some_lib
numpy.seed(0)
...
some_lib.do_thing()

Will the numpy state set by the parent be used by the child?

Answer 1

The seed is a global value for all uses of numpy . So as long as the child module doesn't reseed it, or pull values from it non-deterministically (effectively adjusting it to a new seed based on advancing the old), then the seed will be preserved.

Most PRNG libraries behave this way, because the alternative is pretty useless; for reproducible tests, you want to be able to set the seed once, and have everything rely on that stable seed. If there was a per-module seed, the testing module couldn't seed the PRNG used by the module being tested.

Answer 2

在测试中，似乎numpy的RNG状态由子进程维护。