What happens when you store a numpy array with not enough memory allocated?

Question

I was just playing around with np.array and its memory allocation, I expected that if you tried to store an array that was too big for the memory allocation you would just get an error or would just store the first x number of digits. Instead I just got back seemingly random numbers. What is going on behind the scenes here?

import numpy as np

def create_new_array(num_list):
  new_array = np.array(num_list,np.int8)
  return print(new_array)

create_new_array([31112 , 32321, 24567,456,324,789])

output: [-120, 65, -9, -56, 68, 21]

Changing the input values slightly gives completly differnt outputs and I'm very curiouse as to why this is.