`in` keyword should narrow Union[TypedDict, ...]

Feature

Using in on a Union[TypedDict] should narrow the Union. There is already something similar for isinstance that can narrow based on types. If a certain key exists you could narrow down that your types from a Union as well. This would prevent an error saying a certain key is missing because you checked already, they code can safely access the key. Currently the only workaround for this would be to use cast() but really shouldn't be necessary.

Pitch

After the change the following code should pass validation.

from typing import castm Union
from typing_extensions import TypedDict

class Movie(TypedDict):
    name: str
    year: int

class MovieResponse(TypedDict):
    movie: Movie

class Book(TypedDict):
    name: str
    year: int

class BookResponse(TypedDict):
    book: Book

MediaResponse = Union[MovieResponse, BookResponse]

response : MediaResponse = MovieResponse(movie=Movie(name="Blade Runner", year=1982))

if 'movie' in response:
    reveal_type(response)  # Current: Union[MovieResponse, BookResponse]
                           # Desired: Union[MovieResponse]
    print(response["movie"])  # This fails due to `BookResponse` not having a key "movie"
                              # but we already validated existance of the 'movie' key and that type
                              # should no longer be considered here
    print(cast(MovieResponse, response)["movie"])  # current workaround

Empieza examinando el estrechamiento basado en isinstance existente de mypy y, después, sigue cómo se validan las comprobaciones de claves de Union y TypedDict. El trabajo está terminado cuando una comprobación in estrecha la respuesta al TypedDict coincidente y el ejemplo proporcionado supera la validación sin cast().