Python中随机种子的范围是什么? [英] What is the scope of a random seed in Python?

问题描述

如果我在模块的一个类中使用Python函数random.seed(my_seed)，该种子是否会在该模块中实例化的所有其他类中保留?

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?

推荐答案

是的，为模块中的(隐藏)全局Random()实例设置了种子.从文档:

Yes, the seed is set for the (hidden) global Random() instance in the module. From the documentation:

此模块提供的功能实际上是random.Random类的隐藏实例的绑定方法.您可以实例化自己的Random实例，以获取不共享状态的生成器.

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.

如果需要将种子分开，请使用单独的Random()实例；您可以在实例化时传递新的种子:

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)

该类支持与模块相同的接口.

The class supports the same interface as the module.

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