I have a function, it’s return type is tuple[bool, set[int] | str]. If the 0th item is True, then the 1st item is the result set[int], else the 1st item is a str showing the reason why it failed. It’s like this

I’m writing functions that act on pandas.Series with a DateTimeIndex. I can do type hints, like so:

I am using a dependency that has type hints but doesn’t test them and some of them are just broken. For example:

import typing a: dict[int, int] = {} b: dict[int, int | str] = a c: typing.Mapping[int, int | str] = a d: typing.Mapping[int | str, int] = a Pylance reports an error for “b: dict[int, int | str] = a”: Expression of type “dict[int, int]” is incompatible with declared type “dict[int, int | str]” “dict[int, […]

I would like to use a generic class in Python that is instantiated with a variable number of type parameters. This can be achieved using TypeVarTuple. For each of these type parameters, I want to fill a data structure (e.g., a list). The list can have a different length for each data type. Ideally, I would like to type hint a tuple of lists, each corresponding to a type from the TypeVarTuple.

I would like to use a generic class in Python that is instantiated with a variable number of type parameters. This can be achieved using TypeVarTuple. For each of these type parameters, I want to fill a data structure (e.g., a list). The list can have a different length for each data type. Ideally, I would like to type hint a tuple of lists, each corresponding to a type from the TypeVarTuple.

Below is an example of a TypedDict:

I genuinely cannot find an answer to this and related questions on here (such as 1, 2) are for NamedTuple from the typing module.

The functions have in common, that the type of the first argument determines the type of the return value.

I have a class like this with field members consisting of different types, and inside my class I have __new__(cls, **kwargs) and I would like to type hint **kwargs.