Consider this code in a colab notebook cell:

import cloudpickle

MY_PI = 3.1415

def get_pi():
  return MY_PI

print(cloudpickle.dumps(get_pi))

every time I rerun this cell I get a different output. This is unlike a Python script where it gives a consistent output. I am trying to use cloudpickle to capture the function and persist it in a storage for later use. I want to update the storage only when there is a material change in the behavior of the function, but because of this behavior in the notebook I am running into redundant updates of the storage which is costly. Is there a way I can avoid this?