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Usage:: P = ParamSpec('P') Parameter specification variables exist primarily for the benefit of static type checkers. They are used to forward the parameter types of one callable to another callable, a pattern commonly found in higher order functions and decorators. They are only valid when used in ``Concatenate``, or s the first argument to ``Callable``. In Python 3.10 and higher, they are also supported in user-defined Generics at runtime. See class Generic for more information on generic types. An example for annotating a decorator:: T = TypeVar('T') P = ParamSpec('P') def add_logging(f: Callable[P, T]) -> Callable[P, T]: '''A type-safe decorator to add logging to a function.''' def inner(*args: P.args, **kwargs: P.kwargs) -> T: logging.info(f'{f.__name__} was called') return f(*args, **kwargs) return inner @add_logging def add_two(x: float, y: float) -> float: '''Add two numbers together.''' return x + y Parameter specification variables defined with covariant=True or contravariant=True can be used to declare covariant or contravariant generic types. These keyword arguments are valid, but their actual semantics are yet to be decided. See PEP 612 for details. Parameter specification variables can be introspected. e.g.: P.__name__ == 'T' P.__bound__ == None P.__covariant__ == False P.__contravariant__ == False Note that only parameter specification variables defined in global scope can be pickled. cC�t|�Sr�)rrvrururxr��r�zParamSpec.argscCrr�)r rvrururxr��r�zParamSpec.kwargsNFr�cCstt�||g�||_t|�|_t|�|_t|�|_|r#t�|d�|_ nd|_ t �||�t�}|dkr8||_dSdS)NzBound must be a type.r) r�r�r|r�� __covariant__�__contravariant__r�r�r�� __bound__r�rr})rwr�r�r�r�r�r�r�rururxr��s �zParamSpec.__init__cCs2|jrd}n|jrd}n|jrd}nd}||jS)N��+�-�~)r�rrr|)rw�prefixrururxry�s zParamSpec.__repr__cCr�r��r�r�rvrururxr��r�zParamSpec.__hash__cC�||uSr�rur�rururxr��r�zParamSpec.__eq__cC�|jSr��r|rvrururxr��zParamSpec.__reduce__cOrNr�rur$rururxr^�rzzParamSpec.__call__)r|r}r~r�r�rr��propertyr�r�rar�ryr�r�r�r^rurururxr|s/ �rcsJeZdZejZdZ�fdd�Zdd�Zdd�Z dd �Z ed d��Z�Z S)�_ConcatenateGenericAliasFcst��|�||_||_dSr�)r�r�r�r�)rwr�r�r�rurxr��s z!_ConcatenateGenericAlias.__init__cs2tj��|j��dd��fdd�|jD��d�S)N�[r�c3s�|]}�|�VqdSr�ru)r�r'�r�rurxr��r@z4_ConcatenateGenericAlias.__repr__.<locals>.<genexpr>r�)r�r�r�r�r�rvrurrxry�s�z!_ConcatenateGenericAlias.__repr__cCr�r�)r�r�r�rvrururxr��r�z!_ConcatenateGenericAlias.__hash__cOrNr�rur$rururxr^�rzz!_ConcatenateGenericAlias.__call__cCstdd�|jD��S)Ncss$�|] }t|tjtf�r|VqdSr�)r�r�rr)r�rtrururxr��s�� z:_ConcatenateGenericAlias.__parameters__.<locals>.<genexpr>)r�r�rvrururxr��s�z'_ConcatenateGenericAlias.__parameters__)r|r}r~r�r�r�r�r�ryr�r^rr�r�rurur�rxr�srcsZ|dkrtd��t|t�s|f}t|dt�std��d�t�fdd�|D��}t||�S)Nruz&Cannot take a Concatenate of no types.rzAThe last parameter to Concatenate should be a ParamSpec variable.z/Concatenate[arg, ...]: each arg must be a type.c3r�r�r�r�r�rurxr�r�z'_concatenate_getitem.<locals>.<genexpr>)r�r�r�rrr�rur�rx�_concatenate_getitems rcC� t||�S)�&Used in conjunction with ``ParamSpec`` and ``Callable`` to represent a higher order function which adds, removes or transforms parameters of a callable. For example:: Callable[Concatenate[int, P], int] See PEP 612 for detailed information. �rr�rururxrs c@rr)�_ConcatenateFormcCrr�rr�rururxr�)r�z_ConcatenateForm.__getitem__N�r|r}r~r�rurururxr(rrrrAcC� t�||�d��}t�||f�S)� Special typing form 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). � accepts only a single type.�r�r�r��rwr��itemrururxrA>s,c@rr)�_TypeGuardFormcC�"t�||j�d��}t�||f�S�Nz accepts only a single type�r�r�r�r�rrururxr�o� �z_TypeGuardForm.__getitem__NrrurururxrnrrrrBcCr)�zSpecial typing form used to annotate the return type of a user-defined type narrower function. ``TypeIs`` only accepts a single type argument. At runtime, functions marked this way should return a boolean. ``TypeIs`` 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 ``TypeIs[...]`` as its return type to alert static type checkers to this intention. Using ``-> TypeIs`` 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 intersection of the type inside ``TypeGuard`` and the argument's previously known type. For example:: def is_awaitable(val: object) -> TypeIs[Awaitable[Any]]: return hasattr(val, '__await__') def f(val: Union[int, Awaitable[int]]) -> int: if is_awaitable(val): assert_type(val, Awaitable[int]) else: assert_type(val, int) ``TypeIs`` also works with type variables. For more information, see PEP 742 (Narrowing types with TypeIs). rrrrururxrB�s&c@rr)�_TypeIsFormcCr r!r"rrururxr��r#z_TypeIsForm.__getitem__Nrrurururxr%�rr%r$c@sneZdZdZdd�Zdd�Zdd�Zdd �Zd d�Zdd �Z dd�Z dd�Zdd�Zdd�Z ejdd��ZdS)�_SpecialForm)r�r��_getitemcCs||_|j|_|j|_dSr�)r'r|r�r��rwr�rururxr�sz_SpecialForm.__init__cCs|dvr|jSt|��)N>r|r~)r�r�)rwrrururx�__getattr__sz_SpecialForm.__getattr__cC�td|��)Nr�r�)rwr-rururxr_ r�z_SpecialForm.__mro_entries__cCsd|j��Sr�r�rvrururxryr�z_SpecialForm.__repr__cCrr�r�rvrururxr�rz_SpecialForm.__reduce__cOr*)NzCannot instantiate r��rwr��kwdsrururxr^r�z_SpecialForm.__call__cC�tj||fSr��r�rjr�rururx�__or__r�z_SpecialForm.__or__cC�tj||fSr�r.r�rururx�__ror__r�z_SpecialForm.__ror__cCr�)Nz! cannot be used with isinstance()r�r�rururxr�r�z_SpecialForm.__instancecheck__cCr�)Nz! cannot be used with issubclass()r�)rwr�rururxr3"r�z_SpecialForm.__subclasscheck__cCs|�||�Sr�)r'r�rururxr�%r�z_SpecialForm.__getitem__N)r|r}r~rDr�r)r_ryr�r^r/r1r�r3r�rr�rurururxr&�sr&rcCr�)aDRepresents an arbitrary literal string. Example:: from typing_extensions import LiteralString def query(sql: LiteralString) -> ...: ... query("SELECT * FROM table") # ok query(f"SELECT * FROM {input()}") # not ok See PEP 675 for details. r�r��rwr�rururxr-sr cCr�)z�Used to spell the type of "self" in classes. Example:: from typing import Self class ReturnsSelf: def parse(self, data: bytes) -> Self: ... return self r�r�r2rururxr DsrDcCr�)a�The 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_extensions 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 r�r�r2rururxrDYsrGcCr )��A special typing construct to mark a key of a total=False TypedDict as required. For example: class Movie(TypedDict, total=False): title: Required[str] year: int m = Movie( title='The Matrix', # typechecker error if key is omitted year=1999, ) There is no runtime checking that a required key is actually provided when instantiating a related TypedDict. rr"rrururxrGxscCr )�`A special typing construct to mark a key of a TypedDict as potentially missing. For example: class Movie(TypedDict): title: str year: NotRequired[int] m = Movie( title='The Matrix', # typechecker error if key is omitted year=1999, ) rr"rrururxrH�srHc@rr)� _RequiredFormcCr �Nrr"rrururxr��r#z_RequiredForm.__getitem__Nrrurururxr5�rr5r3r4cCr )a�A special typing construct to mark an item of a TypedDict as read-only. For example: class Movie(TypedDict): title: ReadOnly[str] year: int def mutate_movie(m: Movie) -> None: m["year"] = 1992 # allowed m["title"] = "The Matrix" # typechecker error There is no runtime checking for this property. rr"rrururxrF�sc@rr)� _ReadOnlyFormcCr r6r"rrururxr��r#z_ReadOnlyForm.__getitem__Nrrurururxr7�rr7a�A special typing construct to mark a key of a TypedDict as read-only. For example: class Movie(TypedDict): title: ReadOnly[str] year: int def mutate_movie(m: Movie) -> None: m["year"] = 1992 # allowed m["title"] = "The Matrix" # typechecker error There is no runtime checking for this propery. a�Type unpack operator. The type unpack operator takes the child types from some container type, such as `tuple[int, str]` or a `TypeVarTuple`, and 'pulls them out'. For example: # For some generic class `Foo`: Foo[Unpack[tuple[int, str]]] # Equivalent to Foo[int, str] Ts = TypeVarTuple('Ts') # Specifies that `Bar` is generic in an arbitrary number of types. # (Think of `Ts` as a tuple of an arbitrary number of individual # `TypeVar`s, which the `Unpack` is 'pulling out' directly into the # `Generic[]`.) class Bar(Generic[Unpack[Ts]]): ... Bar[int] # Valid Bar[int, str] # Also valid From Python 3.11, this can also be done using the `*` operator: Foo[*tuple[int, str]] class Bar(Generic[*Ts]): ... The operator can also be used along with a `TypedDict` to annotate `**kwargs` in a function signature. For instance: class Movie(TypedDict): name: str year: int # This function expects two keyword arguments - *name* of type `str` and # *year* of type `int`. def foo(**kwargs: Unpack[Movie]): ... Note that there is only some runtime checking of this operator. Not everything the runtime allows may be accepted by static type checkers. For more information, see PEP 646 and PEP 692. cCst|�tuSr�)r/r�r�rururx� _is_unpack! r�r9cseZdZ�fdd�Z�ZS)�_UnpackSpecialFormcst��|�t|_dSr�)r�r��_UNPACK_DOCr�r(r�rurxr�& s z_UnpackSpecialForm.__init__)r|r}r~r�r�rurur�rxr:% sr:c@seZdZejZedd��ZdS)�_UnpackAliascCsV|jtusJ�t|j�dksJ�|j\}t|tjtjf�r)|jt ur&t d��|jSdS)Nr�z*Unpack[...] must be used with a tuple type)r�rr�r�r�r�r�r�r�r�r�)rwr'rururx�__typing_unpacked_tuple_args__- s z+_UnpackAlias.__typing_unpacked_tuple_args__N)r|r}r~r�rr�rr=rurururxr<* sr<cC� t�||j�d��}t||f�Sr6�r�r�r�r<rrururxr8 srcC� t|t�Sr��r�r<r8rururxr9= r�c@seZdZejZdS)r<N)r|r}r~r�rr�rurururxr<A s c@rr)�_UnpackFormcCr>r6r?rrururxr�E s �z_UnpackForm.__getitem__NrrurururxrBD rrBcCr@r�rAr8rururxr9L r�)r r cGsLg}|D]}t|dd�}|dur|r|ddus|�|�q|�|�q|S)Nr=r.)r�r�r�)r�Znewargsr'�subargsrururx�_unpack_argsU srDc@s,eZdZdZejZed�dd�Zdd�Z dS)r zType variable tuple.r�cs2t�|��t�|�t��fdd�}|�_�S)Ncs�|j}|��}||dd�D]}t|t�rtd|��qt|�}t|�}|}||d}d} d} t|�D]+\}}t|t�sbt|dd�} | rbt| �dkrb| ddurb| dur\td��|} | d} q7| durvt || �}t ||| d�}n|||kr�td |�d |�d|d��|||kr�� r�t�j�}n||||�}g|d|��| g||�|�| g||||d�|||d��RS)Nr�z(More than one TypeVarTuple parameter in r=rr.z6More than one unpacked arbitrary-length tuple argumentrr�r�z, expected at least ) r�r�r�r r�r�� enumerater�r��minr�rDr�)r�r�r�Ztypevartuple_index�param�alen�plen�left�rightZvar_tuple_indexZfillargr�r'rC�replacement�Ztvtrurx�_typevartuple_prepare_substj s` �� z9TypeVarTuple.__new__.<locals>._typevartuple_prepare_subst)r�r r�r�r�)r�r�r�rNrurMrxr�e s -zTypeVarTuple.__new__cOr�)N�&Cannot subclass special typing classesr�r+rururxrA� r��TypeVarTuple.__init_subclass__N) r|r}r~r�r�r r�rar�rArurururxr ` s 5c@sTeZdZdZejZdd�Zed�dd�Z dd�Z d d �Zdd�Zd d�Z dd�ZdS)r a�Type variable tuple. Usage:: Ts = TypeVarTuple('Ts') In the same way that a normal type variable is a stand-in for a single type such as ``int``, a type variable *tuple* is a stand-in for a *tuple* type such as ``Tuple[int, str]``. Type variable tuples can be used in ``Generic`` declarations. Consider the following example:: class Array(Generic[*Ts]): ... The ``Ts`` type variable tuple here behaves like ``tuple[T1, T2]``, where ``T1`` and ``T2`` are type variables. To use these type variables as type parameters of ``Array``, we must *unpack* the type variable tuple using the star operator: ``*Ts``. The signature of ``Array`` then behaves as if we had simply written ``class Array(Generic[T1, T2]): ...``. In contrast to ``Generic[T1, T2]``, however, ``Generic[*Shape]`` allows us to parameterise the class with an *arbitrary* number of type parameters. Type variable tuples can be used anywhere a normal ``TypeVar`` can. This includes class definitions, as shown above, as well as function signatures and variable annotations:: class Array(Generic[*Ts]): def __init__(self, shape: Tuple[*Ts]): self._shape: Tuple[*Ts] = shape def get_shape(self) -> Tuple[*Ts]: return self._shape shape = (Height(480), Width(640)) x: Array[Height, Width] = Array(shape) y = abs(x) # Inferred type is Array[Height, Width] z = x + x # ... is Array[Height, Width] x.get_shape() # ... is tuple[Height, Width] ccs�|jVdSr�)�__unpacked__rvrururx�__iter__� s�zTypeVarTuple.__iter__r�cCs4||_t�||�t�}|dkr||_t||_dS)Nr)r|r�r�rr}rrQ)rwr�r�r�rururxr�� szTypeVarTuple.__init__cCrr�r rvrururxry� rzTypeVarTuple.__repr__cCr�r�r rvrururxr�� r�zTypeVarTuple.__hash__cCrr�rur�rururxr�� r�zTypeVarTuple.__eq__cCrr�r rvrururxr�� rzTypeVarTuple.__reduce__cOsd|vrtd��dS)Nr�rOr�r+rururxrA� s�rPN)r|r}r~r�r�rr�rRrar�ryr�r�r�rArurururxr � s,r;r�r:cCstdt|�j��tjd�|S)a�Reveal the inferred type of a variable. When a static type checker encounters a call to ``reveal_type()``, it will emit the inferred type of the argument:: x: int = 1 reveal_type(x) Running a static type checker (e.g., ``mypy``) on this example will produce output similar to 'Revealed type is "builtins.int"'. At runtime, the function prints the runtime type of the argument and returns it unchanged. zRuntime type is )�file)�printr�r|r�stderrr8rururxr;� s�_ASSERT_NEVER_REPR_MAX_LENGTH�dr&r'cCs2t|�}t|�tkr|dt�d}td|��)a1Assert to the type checker that a line of code is unreachable. Example:: def int_or_str(arg: int | str) -> None: match arg: case int(): print("It's an int") case str(): print("It's a str") case _: assert_never(arg) If a type checker finds that a call to assert_never() is reachable, it will emit an error. At runtime, this throws an exception when called. Nz...z*Expected code to be unreachable, but got: )r�r�rV�AssertionError)r'r�rururxr& s)� eq_default� order_default�kw_only_default�frozen_default�field_specifiersrYrZr[r\r].r�cs��fdd�}|S)a�Decorator that marks a function, class, or metaclass as providing dataclass-like behavior. Example: from typing_extensions import dataclass_transform _T = TypeVar("_T") # Used on a decorator function @dataclass_transform() def create_model(cls: type[_T]) -> type[_T]: ... return cls @create_model class CustomerModel: id: int name: str # Used on a base class @dataclass_transform() class ModelBase: ... class CustomerModel(ModelBase): id: int name: str # Used on a metaclass @dataclass_transform() class ModelMeta(type): ... class ModelBase(metaclass=ModelMeta): ... class CustomerModel(ModelBase): id: int name: str Each of the ``CustomerModel`` classes defined in this example will now behave similarly to a dataclass created with the ``@dataclasses.dataclass`` decorator. For example, the type checker will synthesize an ``__init__`` method. The arguments to this decorator can be used to customize this behavior: - ``eq_default`` indicates whether the ``eq`` parameter is assumed to be True or False if it is omitted by the caller. - ``order_default`` indicates whether the ``order`` parameter is assumed to be True or False if it is omitted by the caller. - ``kw_only_default`` indicates whether the ``kw_only`` parameter is assumed to be True or False if it is omitted by the caller. - ``frozen_default`` indicates whether the ``frozen`` parameter is assumed to be True or False if it is omitted by the caller. - ``field_specifiers`` specifies a static list of supported classes or functions that describe fields, similar to ``dataclasses.field()``. At runtime, this decorator records its arguments in the ``__dataclass_transform__`` attribute on the decorated object. See PEP 681 for details. cs��d�|_|S)N)rYrZr[r\r]r�)Z__dataclass_transform__)Z cls_or_fn�rYr]r\r[r�rZrurx� decorators s�z&dataclass_transform.<locals>.decoratorru)rYrZr[r\r]r�r_rur^rxr)* sI r)r9�_F)r�c Cr�)aHIndicate that a method is intended to override a method in a base class. Usage: class Base: def method(self) -> None: pass class Child(Base): @override def method(self) -> None: super().method() When this decorator is applied to a method, the type checker will validate that it overrides a method with the same name on a base class. This helps prevent bugs that may occur when a base class is changed without an equivalent change to a child class. There is no runtime checking of these properties. The decorator sets the ``__override__`` attribute to ``True`` on the decorated object to allow runtime introspection. See PEP 698 for details. T)Z__override__r�r�r&rururxr9� s��r*�_Tc @sPeZdZdZedd�dedejeje de ddfd d �Zdedefdd �Z dS)r*aIndicate that a class, function or overload is deprecated. When this decorator is applied to an object, the type checker will generate a diagnostic on usage of the deprecated object. Usage: @deprecated("Use B instead") class A: pass @deprecated("Use g instead") def f(): pass @overload @deprecated("int support is deprecated") def g(x: int) -> int: ... @overload def g(x: str) -> int: ... The warning specified by *category* will be emitted at runtime on use of deprecated objects. For functions, that happens on calls; for classes, on instantiation and on creation of subclasses. If the *category* is ``None``, no warning is emitted at runtime. The *stacklevel* determines where the warning is emitted. If it is ``1`` (the default), the warning is emitted at the direct caller of the deprecated object; if it is higher, it is emitted further up the stack. Static type checker behavior is not affected by the *category* and *stacklevel* arguments. 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