I\'ve read about when to use assert vs. exceptions, but I\'m still not \"getting it\". It seems like whenever I think I\'m in a situation where I should use assert, later on in
Generelly, assert is there to verify an assumption you have about your code, i.e. at that point in time, either the assert succeeds, or your implementation is somehow buggy. An exception is acutally expecting an error to happen and "embracing" it, i.e. allowing you to handle it.
A good example is checking the arguments of a function for consistency:
def f(probability_vector, positive_number):
assert sum(probability_vector) == 1., "probability vectors have to sum to 1"
assert positive_number >= 0., "positive_number should be positive"
# body of function goes here
A good guideline is using assert
when its triggering means a bug in your code. When your code assumes something and acts upon the assumption, it's recommended to protect this assumption with an assert
. This assert
failing means your assumption isn't correct, which means your code isn't correct.
tend to use assert to check for things that should never happen. sort of like a sanity check.
Another thing to realize is that asserts are removed when optimized:
The current code generator emits no code for an assert statement when optimization is requested at compile time.