this post was submitted on 14 May 2024
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Programmer Humor

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Explanation: Python is a programming language. Numpy is a library for python that makes it possible to run large computations much faster than in native python. In order to make that possible, it needs to keep its own set of data types that are different from python's native datatypes, which means you now have two different bool types and two different sets of True and False. Lovely.

Mypy is a type checker for python (python supports static typing, but doesn't actually enforce it). Mypy treats numpy's bool_ and python's native bool as incompatible types, leading to the asinine error message above. Mypy is "technically" correct, since they are two completely different classes. But in practice, there is little functional difference between bool and bool_. So you have to do dumb workarounds like declaring every bool values as bool | np.bool_ or casting bool_ down to bool. Ugh. Both numpy and mypy declared this issue a WONTFIX. Lovely.

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[–] [email protected] 107 points 7 months ago* (last edited 7 months ago) (1 children)

bool_ via Numpy is its own object, and it's fundamentally different from bool in Python (which is itself a subclass of int, whereas bool_ is not).

They are used similarly, but they're similar in the same way a fork and a spork can both be used to eat spaghetti.

[–] Donkter 66 points 7 months ago (2 children)

And do you eat that spaghetti out of a bool?

[–] [email protected] 3 points 7 months ago* (last edited 7 months ago)

Class SpaghettiBool:

def contain_spaghetti():
    pass

sure, why not.

(I'm too lazy to do a proper Protocol)

[–] [email protected] 1 points 7 months ago

No i write some spaghetti with a lot of bools