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python3.11/
__pycache__/
typing.cpython-311.pyc

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The typing module: Support for gradual typing as defined by PEP 484 and subsequent PEPs.

Among other things, the module includes the following:
* Generic, Protocol, and internal machinery to support generic aliases.
  All subscripted types like X[int], Union[int, str] are generic aliases.
* Various "special forms" that have unique meanings in type annotations:
  NoReturn, Never, ClassVar, Self, Concatenate, Unpack, and others.
* Classes whose instances can be type arguments to generic classes and functions:
  TypeVar, ParamSpec, TypeVarTuple.
* Public helper functions: get_type_hints, overload, cast, final, and others.
* Several protocols to support duck-typing:
  SupportsFloat, SupportsIndex, SupportsAbs, and others.
* Special types: NewType, NamedTuple, TypedDict.
* Deprecated wrapper submodules for re and io related types.
* Deprecated aliases for builtin types and collections.abc ABCs.

Any name not present in __all__ is an implementation detail
that may be changed without notice. Use at your own risk!
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ByteString	ContainerContextManagerHashable	ItemsViewIterableIteratorKeysViewMappingMappingViewMutableMappingMutableSequence
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ValuesView	Awaitable
AsyncIterator
AsyncIterable	Coroutine
CollectionAsyncGeneratorAsyncContextManager
ReversibleSupportsAbs
SupportsBytesSupportsComplex
SupportsFloat
SupportsIndexSupportsInt
SupportsRoundChainMapCounterDequeDictDefaultDictListOrderedDictSet	FrozenSet
NamedTuple	TypedDict	GeneratorBinaryIOIOMatchPatternTextIOAnyStrassert_typeassert_nevercastclear_overloadsdataclass_transformfinalget_args
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TYPE_CHECKING	TypeAlias	TypeGuardUnpackFallow_special_formscv|tdSt|trt|||S|S)z=For converting None to type(None), and strings to ForwardRef.N)moduleis_class)type
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    As a special case, accept None and return type(None) instead. Also wrap strings
    into ForwardRef instances. Consider several corner cases, for example plain
    special forms like Union are not valid, while Union[int, str] is OK, etc.
    The msg argument is a human-readable error message, e.g.::

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    The canonical representation for a Callable's __args__ flattens the
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    For example::

        >>> 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__,
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    r)rcollectionsabcrlenr)typargss  r_should_unflatten_callable_argsrs>&	+/22	=Ta;N47$;$;<rc0t|tjrt|St|tr#|jdkr|jS|jd|jS|durdSt|tjr|jSt|S)a;Return the repr() of an object, special-casing types (internal helper).

    If obj is a type, we return a shorter version than the default
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        >>> T = TypeVar('T')
        >>> _collect_parameters((T, Callable[P, T]))
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    collections.abc.Iterable - isinstance(foo, Iterable) would be True.

    Luckily, we can instead prevent iteration by setting __iter__ to None, which
    is treated specially.
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rrr5r5s#00000rr5c(eZdZfdZfdZxZS)_AnyMetacv|turtdt|S)Nz+typing.Any cannot be used with isinstance())rrsuperr,)rr	__class__s  rr,z_AnyMeta.__instancecheck__s33;;IJJJww((---rcZ|turdStS)Nz
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"""""""""rr8c"eZdZdZfdZxZS)raWSpecial type indicating an unconstrained type.

    - Any is compatible with every type.
    - Any assumed to have all methods.
    - All values assumed to be instances of Any.

    Note that all the above statements are true from the point of view of
    static type checkers. At runtime, Any should not be used with instance
    checks.
    cn|turtdtj|g|Ri|S)NzAny cannot be instantiated)rrr:__new__)rrkwargsr;s   rrBzAny.__new__
sA#::8999uwws4T444V444r)rrrrrBr>r?s@rrrsB		555555555rr)	metaclassc&t|d)aSpecial type indicating functions that never return.

    Example::

        from typing import NoReturn

        def stop() -> NoReturn:
            raise Exception('no way')

    NoReturn can also be used as a bottom type, a type that
    has no values. Starting in Python 3.11, the Never type should
    be used for this concept instead. Type checkers should treat the two
    equivalently.
     is not subscriptablerr2s  rreres t222
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33rc&t|d)adThe bottom type, a type that has no members.

    This can be used to define a function that should never be
    called, or a function that never returns::

        from typing import Never

        def never_call_me(arg: Never) -> None:
            pass

        def int_or_str(arg: int | str) -> None:
            never_call_me(arg)  # type checker error
            match arg:
                case int():
                    print("It's an int")
                case str():
                    print("It's a str")
                case _:
                    never_call_me(arg)  # OK, arg is of type Never
    rFrr2s  rrara%s,t222
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33rc&t|d)asUsed to spell the type of "self" in classes.

    Example::

        from typing import Self

        class Foo:
            def return_self(self) -> Self:
                ...
                return self

    This is especially useful for:
        - classmethods that are used as alternative constructors
        - annotating an `__enter__` method which returns self
    rFrr2s  rrmrm>s"t222
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33rc&t|d)a
Represents an arbitrary literal string.

    Example::

        from typing import LiteralString

        def run_query(sql: LiteralString) -> None:
            ...

        def caller(arbitrary_string: str, literal_string: LiteralString) -> None:
            run_query("SELECT * FROM students")  # OK
            run_query(literal_string)  # OK
            run_query("SELECT * FROM " + literal_string)  # OK
            run_query(arbitrary_string)  # type checker error
            run_query(  # type checker error
                f"SELECT * FROM students WHERE name = {arbitrary_string}"
            )

    Only string literals and other LiteralStrings are compatible
    with LiteralString. This provides a tool to help prevent
    security issues such as SQL injection.
    rFrr2s  rr`r`Rs0t222
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33rcJt||d}t||fS)a>Special type construct to mark class variables.

    An annotation wrapped in ClassVar indicates that a given
    attribute is intended to be used as a class variable and
    should not be set on instances of that class.

    Usage::

        class Starship:
            stats: ClassVar[dict[str, int]] = {} # class variable
            damage: int = 10                     # instance variable

    ClassVar accepts only types and cannot be further subscribed.

    Note that ClassVar is not a class itself, and should not
    be used with isinstance() or issubclass().
     accepts only single type.rrrrrs   rrrm.&zd#F#F#FGGDw'''rcJt||d}t||fS)aSpecial typing construct to indicate final names to type checkers.

    A final name cannot be re-assigned or overridden in a subclass.

    For example::

        MAX_SIZE: Final = 9000
        MAX_SIZE += 1  # Error reported by type checker

        class Connection:
            TIMEOUT: Final[int] = 10

        class FastConnector(Connection):
            TIMEOUT = 1  # Error reported by type checker

    There is no runtime checking of these properties.
    rKrLrMs   rrrrNrcx|dkrtdt|ts|f}dtfd|D}t|}t	|dkr|dSt	|dkr#td|vrt
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    On Python 3.10 and higher, the | operator
    can also be used to denote unions;
    X | Y means the same thing to the type checker as Union[X, Y].

    To define a union, use e.g. Union[int, str]. Details:
    - The arguments must be types and there must be at least one.
    - None as an argument is a special case and is replaced by
      type(None).
    - Unions of unions are flattened, e.g.::

        assert Union[Union[int, str], float] == Union[int, str, float]

    - Unions of a single argument vanish, e.g.::

        assert Union[int] == int  # The constructor actually returns int

    - Redundant arguments are skipped, e.g.::

        assert Union[int, str, int] == Union[int, str]

    - When comparing unions, the argument order is ignored, e.g.::

        assert Union[int, str] == Union[str, int]

    - You cannot subclass or instantiate a union.
    - You can use Optional[X] as a shorthand for Union[X, None].
    r
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    This form can be used to indicate to type checkers that the corresponding
    variable or function parameter has a value equivalent to the provided
    literal (or one of several literals)::

        def validate_simple(data: Any) -> Literal[True]:  # always returns True
            ...

        MODE = Literal['r', 'rb', 'w', 'wb']
        def open_helper(file: str, mode: MODE) -> str:
            ...

        open_helper('/some/path', 'r')  # Passes type check
        open_helper('/other/path', 'typo')  # Error in type checker

    Literal[...] cannot be subclassed. At runtime, an arbitrary value
    is allowed as type argument to Literal[...], but type checkers may
    impose restrictions.
    c3 K|]	\}}|V
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AAc&t|d)a:Special form for marking type aliases.

    Use TypeAlias to indicate that an assignment should
    be recognized as a proper type alias definition by type
    checkers.

    For example::

        Predicate: TypeAlias = Callable[..., bool]

    It's invalid when used anywhere except as in the example above.
    rFrr2s  rrprpst222
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33rc0|dkrtdt|ts|f}|ddus*t|dtstddgfd|ddD|dR}t	||d	
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    ``Concatenate`` can be used in conjunction with ``ParamSpec`` and
    ``Callable`` to represent a higher-order function which adds, removes or
    transforms the parameters of a callable.

    For example::

        Callable[Concatenate[int, P], int]

    See PEP 612 for detailed information.
    r
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;CRAAAACRCAAAR:b>RRJ#D*59;;;;rcJt||d}t||fS)aSpecial typing construct for marking user-defined type guard functions.

    ``TypeGuard`` can be used to annotate the return type of a user-defined
    type guard function.  ``TypeGuard`` only accepts a single type argument.
    At runtime, functions marked this way should return a boolean.

    ``TypeGuard`` aims to benefit *type narrowing* -- a technique used by static
    type checkers to determine a more precise type of an expression within a
    program's code flow.  Usually type narrowing is done by analyzing
    conditional code flow and applying the narrowing to a block of code.  The
    conditional expression here is sometimes referred to as a "type guard".

    Sometimes it would be convenient to use a user-defined boolean function
    as a type guard.  Such a function should use ``TypeGuard[...]`` as its
    return type to alert static type checkers to this intention.

    Using  ``-> TypeGuard`` tells the static type checker that for a given
    function:

    1. The return value is a boolean.
    2. If the return value is ``True``, the type of its argument
       is the type inside ``TypeGuard``.

       For example::

           def is_str(val: Union[str, float]):
               # "isinstance" type guard
               if isinstance(val, str):
                   # Type of ``val`` is narrowed to ``str``
                   ...
               else:
                   # Else, type of ``val`` is narrowed to ``float``.
                   ...

    Strict type narrowing is not enforced -- ``TypeB`` need not be a narrower
    form of ``TypeA`` (it can even be a wider form) and this may lead to
    type-unsafe results.  The main reason is to allow for things like
    narrowing ``List[object]`` to ``List[str]`` even though the latter is not
    a subtype of the former, since ``List`` is invariant.  The responsibility of
    writing type-safe type guards is left to the user.

    ``TypeGuard`` also works with type variables.  For more information, see
    PEP 647 (User-Defined Type Guards).
    rKrLrMs   rrqrqs/\zd#F#F#FGGDw'''rcHeZdZdZdZddddZdZd	Zd
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