Make it possible for reveal_type() to format types in the same way as error messages

Feature

Add an option to reveal_type() to format the type in the same way as error messages. Something like reveal_type(variable, format="short") or similar API.

Pitch

Example (based on a bug in numpy 2.2):

import numpy as np
from numpy.typing import NDArray

def multiply(image: NDArray[np.float64], factor: float) -> NDArray[np.float64]:
    reveal_type(image * factor)
    return image * factor

results in

test.py:7: note: Revealed type is "numpy.ndarray[builtins.tuple[builtins.int, ...], numpy.dtype[numpy.floating[Any]]]"
test.py:8: error: Incompatible return value type (got "ndarray[tuple[int, ...], dtype[floating[Any]]]", expected "ndarray[tuple[int, ...], dtype[float64]]")  [return-value]

The error is a numpy bug, and not the point of this request. My point is that the type formatting in reveal_type() is different than in the error message, which makes debugging harder. Compare

numpy.ndarray[builtins.tuple[builtins.int, ...], numpy.dtype[numpy.floating[Any]]]
ndarray[tuple[int, ...], dtype[floating[Any]]]

I would like to be able to get reveal_type() to display the type in the same way. Form a quick look, it seems that the error message uses format_type_distinctly() whereas reveal_type() uses the str representation. I assume the this is done intentionally and we don't want to change this by default (if that's not the case, could we just change it?). Therefore. I propose to make this configurable through an optional parameter.

Beginnen Sie damit, nachzuverfolgen, wie reveal_type() derzeit die String-Darstellung verwendet, und vergleichen Sie sie mit format_type_distinctly(), das im Issue als Formatter für Fehlermeldungen bezeichnet wird. Ermitteln Sie das Verhalten der optionalen API und überprüfen Sie, dass das neue Format eine Typausgabe im Fehlerstil erzeugt und dabei das bestehende Standardverhalten beibehält.