Simulating integer overflow in Python

Question

Python 2 has two integer datatypes int and long, and automatically converts between them as necessary, especially in order to avoid integer overflo

Answer 1

Use NumPy (which is written in C and exposes native machine-level integers). NumPy has these integer types:

Signed integers:

• np.int8
• np.int16
• np.int32

Unsigned integers:

• np.uint8
• np.uint16
• np.uint32

For example (notice it overflows after integer value 127):

import numpy as np

counter = np.int8(0)
one = np.int8(1)

for i in range(130):
    print(type(counter), counter)
    counter = counter + one

At any point you can convert back to a Python integer with just int(counter), for example.