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Typing related NumPy whine:

The type annotations say `float32`, `float64`, etc. are type aliases for `Floating[32]` and `Floating[64]`. In reality, they are concrete classes.

This means that `isinstance(foo, float32)` works as expected, but pisses off static analysis tools.

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I hate when libraries do that, or create a `def ClassLike`.

I’ve found the library `beartype` to be very good for runtime checks built into partially annotated `Annotated` types with custom validators, so instead of instance checks you rely directly on signatures and typeguards.

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