gh-112194: Convert more examples to doctests in `typing.py` (#112195)

Co-authored-by: Alex Waygood <Alex.Waygood@Gmail.com>

1 files changed, 43 insertions, 31 deletions

diff --git a/Lib/typing.py b/Lib/typing.py
index 5e3e1f2..a96c708 100644
--- a/Lib/typing.py
+++ b/Lib/typing.py
@@ -212,8 +212,12 @@ def _should_unflatten_callable_args(typ, args):
 
     For example::
 
-        assert collections.abc.Callable[[int, int], str].__args__ == (int, int, str)
-        assert collections.abc.Callable[ParamSpec, str].__args__ == (ParamSpec, str)
+        >>> import collections.abc
+        >>> P = ParamSpec('P')
+        >>> collections.abc.Callable[[int, int], str].__args__ == (int, int, str)
+        True
+        >>> collections.abc.Callable[P, str].__args__ == (P, str)
+        True
 
     As a result, if we need to reconstruct the Callable from its __args__,
     we need to unflatten it.
@@ -255,7 +259,10 @@ def _collect_parameters(args):
 
     For example::
 
-        assert _collect_parameters((T, Callable[P, T])) == (T, P)
+        >>> P = ParamSpec('P')
+        >>> T = TypeVar('T')
+        >>> _collect_parameters((T, Callable[P, T]))
+        (~T, ~P)
     """
     parameters = []
     for t in args:
@@ -2244,14 +2251,15 @@ def get_origin(tp):
 
     Examples::
 
-        assert get_origin(Literal[42]) is Literal
-        assert get_origin(int) is None
-        assert get_origin(ClassVar[int]) is ClassVar
-        assert get_origin(Generic) is Generic
-        assert get_origin(Generic[T]) is Generic
-        assert get_origin(Union[T, int]) is Union
-        assert get_origin(List[Tuple[T, T]][int]) is list
-        assert get_origin(P.args) is P
+        >>> P = ParamSpec('P')
+        >>> assert get_origin(Literal[42]) is Literal
+        >>> assert get_origin(int) is None
+        >>> assert get_origin(ClassVar[int]) is ClassVar
+        >>> assert get_origin(Generic) is Generic
+        >>> assert get_origin(Generic[T]) is Generic
+        >>> assert get_origin(Union[T, int]) is Union
+        >>> assert get_origin(List[Tuple[T, T]][int]) is list
+        >>> assert get_origin(P.args) is P
     """
     if isinstance(tp, _AnnotatedAlias):
         return Annotated
@@ -2272,11 +2280,12 @@ def get_args(tp):
 
     Examples::
 
-        assert get_args(Dict[str, int]) == (str, int)
-        assert get_args(int) == ()
-        assert get_args(Union[int, Union[T, int], str][int]) == (int, str)
-        assert get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int])
-        assert get_args(Callable[[], T][int]) == ([], int)
+        >>> T = TypeVar('T')
+        >>> assert get_args(Dict[str, int]) == (str, int)
+        >>> assert get_args(int) == ()
+        >>> assert get_args(Union[int, Union[T, int], str][int]) == (int, str)
+        >>> assert get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int])
+        >>> assert get_args(Callable[[], T][int]) == ([], int)
     """
     if isinstance(tp, _AnnotatedAlias):
         return (tp.__origin__,) + tp.__metadata__
@@ -2295,12 +2304,15 @@ def is_typeddict(tp):
 
     For example::
 
-        class Film(TypedDict):
-            title: str
-            year: int
-
-        is_typeddict(Film)              # => True
-        is_typeddict(Union[list, str])  # => False
+        >>> from typing import TypedDict
+        >>> class Film(TypedDict):
+        ...     title: str
+        ...     year: int
+        ...
+        >>> is_typeddict(Film)
+        True
+        >>> is_typeddict(dict)
+        False
     """
     return isinstance(tp, _TypedDictMeta)
 
@@ -2898,15 +2910,15 @@ def TypedDict(typename, fields=_sentinel, /, *, total=True):
 
     Usage::
 
-        class Point2D(TypedDict):
-            x: int
-            y: int
-            label: str
-
-        a: Point2D = {'x': 1, 'y': 2, 'label': 'good'}  # OK
-        b: Point2D = {'z': 3, 'label': 'bad'}           # Fails type check
-
-        assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first')
+        >>> class Point2D(TypedDict):
+        ...     x: int
+        ...     y: int
+        ...     label: str
+        ...
+        >>> a: Point2D = {'x': 1, 'y': 2, 'label': 'good'}  # OK
+        >>> b: Point2D = {'z': 3, 'label': 'bad'}           # Fails type check
+        >>> Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first')
+        True
 
     The type info can be accessed via the Point2D.__annotations__ dict, and
     the Point2D.__required_keys__ and Point2D.__optional_keys__ frozensets.