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.
You know, at some point in my career I thought, it was kind of silly that so many programming languages optimize speed so much.
But I guess, that’s what you get for not doing it. People having to leave your ecosystem behind and spreading across Numpy/Polars, Cython, plain C/Rust and probably others. 🫠