为什么在大型数组的计算中系统只是挂起而不引发内存错误？

Question

我的演示文稿需要内存不足系统错误。我只想通过计算得到它，而不是试图打开一个大文件。我尝试使用理解来计算一个大列表：

ll = [x**x**x**x**x for x in range(100000)]

但是系统只是挂了，没有给出任何错误。

任何人都可以就如何执行此操作提供一些建议吗？

Answer 1

您在中写道：

Method matters. I would like to use this example to show the advantage of generators over ordinary lists.

我不确定使用数字无法完成记忆的确切原因，但对于您的实验：

ll = ['just a sample string' * x for x in range(100000)]

确实会提高 MemoryError，同时：

gen = ('just a sample string' * x for x in range(100000))
for _ in range(5):
    print(next(gen))

将打印：


just a sample string
just a sample stringjust a sample string
just a sample stringjust a sample stringjust a sample string
just a sample stringjust a sample stringjust a sample stringjust a sample string

甚至相当快...

为什么在大型数组的计算中系统只是挂起而不引发内存错误？

Why in the calculation of large arrays the system simply hangs and doesn't raise a memory error?

python

out-of-memory