o a+)h8@s~ ddlZddlZddlZddlZddlZddlZddlZddlZgdZ dZ e Z e ZefddZejdkr;ddZnejd krEd dZnd dZdd d ZejZedZedZedZejdddZejdddZejdkrzddlmZnGddde ZGdddedZejZeedrejdddkrejZnGdd d ejdd!Z e dd"d#Zejdkrej!Z!nd$d%Z!d&d'Z"eed(rej#Z#nGd)d*d*ejdd!Z$e$d(d+d#Z#ej%Z%eed,rej&Z&ej'Z'ej(Z(ne)e*ej)e+Z,d-d.Z&d/d,Z'd0d1Z(ej-Z-ej.Z.ej/Z/ej0Z0ej1Z1ej2Z2ej3Z3ej4Z4ej5Z5eed2r)ej6Z6n e7ej6eefZ6ej8Z8ej9Z9ej:Z:ej;Z;ejd4d5Z?d6d7Z@d8d9ZAeed:r^ejBZBnd;d<ZCGd=d>d>ejDZEGd?d:d:eEdZBeed@r~ejFZFndAd@ZFeFZGeedBrejHZHn eFGdCdBdBeBZHeedDrejIZIejJZJejKZKn=dEdFZLdGdHZMdIeM_NddJdKdLZOdMeO_NGdNdOdOe ZJeJdPe+fiZIePeI_QdQeI_ReedOrejJeJfZSneJfZSdRdSZKeedTrejTZTndUdTZTeedDrejUZUnddlZddlZdVdWZVddYdZZUeed[rejWZWejXZXnGd\d]d]ejYdd!ZXGd^d[d[ZWejdddkr>ejZZZej[Z[n4zdd_lm\Z\Wn e]ySejYZ\Ynwzdd`lm^Z_Wn e]yiejYZ_YnwdadbZZdcddZ[eeder|ej`Z`n-ejddd krGdfdgdgejdd!ZaeadhdeZ`nGdidgdgejdd!Zaeadedjd#Z`GdkdldlZbGdmdndnejebdd!ZeedorejcZcejdZdnGdpdqdqZeGdrdodoeeZcGdsdtdteeZdeedurGdvduduejfebdd!Zfn GdwduduegebZfeedxs GdydzdzegZhejid{d|ZjeedxrejkZkejhZhn"ejddd kr/ead}dxZknGd~ddejdd!Zleldxdd#ZkeedrJejmZmn-ejddd krfGdddejdd!ZnenddZmnGdddejdd!Znenddd#ZmGdddejodd!ZeedrejpZpneddZpeedrejqZqneddZqeedrejrZrneddZreedDrejsZsejtZtn9ejddd krGdddejdd!ZueuddDZseuddZtnGdddejdd!ZvevdDdd#Zsevddd#ZteedrejwZwnKejddd kr-Gdddejdd!ZxGdddejYdd!ZyexddZwddZzn GdddejYdd!ZyGdddejdd!Z{e{ddd#ZwddZzeedr`Gdddej|ebdd!Z|nGdddebZ|eedrrej}Z}n dedefddZ}eedrej~Z~n derderfddZ~eedrejZn2ddXdXdddedededejejej-ejejdejffdfdejdejegeff ddZeedrejZnejdejdejfdZdedefddZeedsee_ee_ejdkrejZdSddZdddZejZehdZGddÄde ZdddńZejjRe_Re eddiZejdkr6de_NddɄZee_dS)N)8AnyClassVar ConcatenateFinal LiteralString ParamSpec ParamSpecArgsParamSpecKwargsSelfTypeTypeVar TypeVarTupleUnpack Awaitable AsyncIterator AsyncIterable CoroutineAsyncGeneratorAsyncContextManagerChainMapContextManagerCounterDeque DefaultDict NamedTuple OrderedDict TypedDict SupportsIndex Annotated assert_never assert_typeclear_overloadsdataclass_transform get_overloadsfinalget_args get_originget_type_hintsIntVar is_typeddictLiteralNewTypeoverloadoverrideProtocol reveal_typeruntimeruntime_checkableText TypeAlias TypeGuard TYPE_CHECKINGNeverNoReturnRequired NotRequiredTc Cs|s t|d|tur!t|dr|jst|dt|j}t|}||krat|drKdd|jD}tdd|D}|dkrK|||krKdStd ||krSd nd d |d |d|dS)zCheck correct count for parameters of a generic cls (internal helper). 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The contents of this function are very similar to logic found in typing.Generic.__init_subclass__ on the CPython main branch. rNzECannot inherit from Generic[...] and/or Protocol[...] multiple types., c3s |] }|vrt|VqdSrCstrr`gvarsetr;r@rErz+_maybe_adjust_parameters..cs|]}t|VqdSrCr)r>gr;r;r@rEzSome type variables (z) are not listed in [])rrTrhrrDrUrrr.r{rHr:rjoinre)rMrbgvarsrZthe_basetvarsets_varss_argsr;rr@_maybe_adjust_parameterss8      rr.cOst|jr tddS)Nz Protocols cannot be instantiated)typerrHrurrr;r;r@_no_inits rcseZdZfddZZS) _ProtocolMetacsVtddr trtjrdSjr%tfddtDr%dStS)NrFTc3s:|]}t|ott|d pt|duVqdSrC)rJrrrrMinstancer;r@rEs   z2_ProtocolMeta.__instancecheck__..) rr issubclassrxrrrrrrsrrwrr@rss   z_ProtocolMeta.__instancecheck__)r{r|r}rsr~r;r;rwr@rsrcs>eZdZdZdZdZfddZejddZ dd Z Z S) r.aBase class for protocol classes. Protocol classes are defined as:: class Proto(Protocol): def meth(self) -> int: ... 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This allows a simple-minded structural check very similar to the one-offs in collections.abc such as Hashable. z@@runtime_checkable can be only applied to protocol classes, got T)rDrrrHrrr;r;r@r1ls rc@s$eZdZdZejdefddZdS)rr;returncCdSrCr;rzr;r;r@ __index__szSupportsIndex.__index__N)r{r|r}rrabstractmethodintrr;r;r;r@rsr8c Cs<ztdjddvrtdWdSttfyYdSw)Nrr{)rrrTz4TypedDict does not support instance and class checksF)rrrrHr ValueError)rMrr;r;r@ _check_failssrcOs0|std|d|dd}}t|i|S)N)TypedDict.__new__(): not enough argumentsrr)rHdict)rr_r;r;r@ _dict_newsrz,($cls, _typename, _fields=None, /, **kwargs)totalc OsN|std|d|dd}}|r|d|dd}}nd|vr5|d}ddl}|jdtddntd|rTz|\}Wn1tyStd t|dd wd |vrpt|dkrp|d }ddl}|jd tddnd}|dury|}n|rtd dt|i}zt dj dd|d<Wn t tfyYnwt |d||dS)NrrrZ _typenamez5Passing '_typename' as keyword argument is deprecatedr) stacklevelzGTypedDict.__new__() missing 1 required positional argument: '_typename'z?TypedDict.__new__() takes from 2 to 3 positional arguments but z were given_fieldsz3Passing '_fields' as keyword argument is deprecatedz@TypedDict takes either a dict or keyword arguments, but not bothrr{__main__r|r;r)rHpopwarningswarnDeprecationWarningrrKrrrrrr_TypedDictMeta)rrrrtypenamerfieldsnsr;r;r@_typeddict_newsL       r$z;($cls, _typename, _fields=None, /, *, total=True, **kwargs)cs4eZdZdfdd Zdfdd ZeZZZS)r Tcst|||dSrC)rrr)rMrbasesr#rrwr;r@rr_z_TypedDictMeta.__init__cs|dkrtnt|d<t||tf|}tdd|Dr'tjtf|_t |i}| di}dfdd| D}t }t } |D] } | | j di| | j d d | | j d d qD| || D];\} } t| } | turt| }|r|d } t| } | tur|| qn| tur| | qn|r|| qn| | qn||_t||_t| |_t|d s||_|S)NrrcsrrC)rrTrr>rr;r;r@rErz)_TypedDictMeta.__new__..rz?TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a typecsi|] \}}|t|qSr;r)r>ntprr;r@ sz*_TypedDictMeta.__new__..__required_keys__r;__optional_keys__r __total__)r$rrrrrrrTrrrritemsrupdaterr&rr%r8rr9r frozensetr*r+rJr,)rMrr%r#rtp_dictrown_annotations required_keys optional_keysrZannotation_keyZannotation_typeZannotation_originZannotation_argsrwrr@rsL           z_TypedDictMeta.__new__)T) r{r|r}rrrrs__subclasscheck__r~r;r;rwr@r s9r raA simple typed name space. At runtime it is equivalent to a plain dict. TypedDict creates a dictionary type that expects all of its instances to have a certain set of keys, with each key associated with a value of a consistent type. This expectation is not checked at runtime but is only enforced by type checkers. 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') The type info can be accessed via the Point2D.__annotations__ dict, and the Point2D.__required_keys__ and Point2D.__optional_keys__ frozensets. TypedDict supports two additional equivalent forms:: Point2D = TypedDict('Point2D', x=int, y=int, label=str) Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str}) The class syntax is only supported in Python 3.6+, while two other syntax forms work for Python 2.7 and 3.2+ cCst|ttS)aCheck if an annotation is a TypedDict class For example:: class Film(TypedDict): title: str year: int is_typeddict(Film) # => True is_typeddict(Union[list, str]) # => False )rDre_TYPEDDICT_TYPESr(r;r;r@r)?s r)r cC|S)aAssert (to the type checker) that the value is of the given type. When the type checker encounters a call to assert_type(), it emits an error if the value is not of the specified type:: def greet(name: str) -> None: assert_type(name, str) # ok assert_type(name, int) # type checker error At runtime this returns the first argument unchanged and otherwise does nothing. r;)Z__valZ__typr;r;r@r Qs cCst|tr t|jSt|dr|jttfvrt|jdSt|tj r9t dd|jD}||jkr4|S| |Stt dr\t|t j r\t dd|jD}||jkrU|St |j|Stt drt|t jrt dd|jD}||jkrx|Sttj|S|S) z=Strips Annotated, Required and NotRequired from a given type.rrcsrrC _strip_extrasr>ar;r;r@rEorz _strip_extras..rWcsrrCr8r:r;r;r@rEtrrXcsrrCr8r:r;r;r@rEyr)rD_AnnotatedAliasr9rrJr8r9rrTrUre copy_withrfrWrXrreduceoperatoror_)rZ stripped_argsr;r;r@r9hs(       r9FcCsHttdrtj|||dd}ntj|||d}|r|Sdd|DS)aReturn type hints for an object. This is often the same as obj.__annotations__, but it handles forward references encoded as string literals, adds Optional[t] if a default value equal to None is set and recursively replaces all 'Annotated[T, ...]', 'Required[T]' or 'NotRequired[T]' with 'T' (unless 'include_extras=True'). The argument may be a module, class, method, or function. The annotations are returned as a dictionary. For classes, annotations include also inherited members. TypeError is raised if the argument is not of a type that can contain annotations, and an empty dictionary is returned if no annotations are present. BEWARE -- the behavior of globalns and localns is counterintuitive (unless you are familiar with how eval() and exec() work). The search order is locals first, then globals. - If no dict arguments are passed, an attempt is made to use the globals from obj (or the respective module's globals for classes), and these are also used as the locals. If the object does not appear to have globals, an empty dictionary is used. - If one dict argument is passed, it is used for both globals and locals. - If two dict arguments are passed, they specify globals and locals, respectively. rT)globalnslocalnsinclude_extras)rBrCcSsi|] \}}|t|qSr;r8)r>krZr;r;r@r)sz"get_type_hints..)rJrTr'r-)rvrBrCrDhintr;r;r@r's r'rcsHeZdZdZfddZddZddZdd Zd d Zd d Z Z S)r<aKRuntime representation of an annotated type. At its core 'Annotated[t, dec1, dec2, ...]' is an alias for the type 't' with extra annotations. The alias behaves like a normal typing alias, instantiating is the same as instantiating the underlying type, binding it to types is also the same. cs2t|tr |j|}|j}t||||_dSrC)rDr< __metadata__rrrr)ruoriginmetadatarwr;r@rs   z_AnnotatedAlias.__init__cCs$t|dksJ|d}t||jS)Nrr)rKr<rG)rurnew_typer;r;r@r=s z_AnnotatedAlias.copy_withcCs,dt|jdddd|jDdS)Nztyping_extensions.Annotated[rcsrrC)rr:r;r;r@rErz+_AnnotatedAlias.__repr__..r)rT _type_reprrrrGrzr;r;r@rysz_AnnotatedAlias.__repr__cCstjt|jf|jffSrC)r?getitemrrrGrzr;r;r@ __reduce__sz_AnnotatedAlias.__reduce__cCs*t|tstS|j|jkrdS|j|jkS)NF)rDr<rrrGrurr;r;r@__eq__s   z_AnnotatedAlias.__eq__cCt|j|jfSrC)hashrrGrzr;r;r@__hash__z_AnnotatedAlias.__hash__) r{r|r}rrr=ryrMrOrRr~r;r;rwr@r<s r<c@s2eZdZdZdZddZejddZddZ d S) raAdd context specific metadata to a type. Example: Annotated[int, runtime_check.Unsigned] indicates to the hypothetical runtime_check module that this type is an unsigned int. Every other consumer of this type can ignore this metadata and treat this type as int. The first argument to Annotated must be a valid type (and will be in the __origin__ field), the remaining arguments are kept as a tuple in the __extra__ field. Details: - It's an error to call `Annotated` with less than two arguments. - Nested Annotated are flattened:: Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3] - Instantiating an annotated type is equivalent to instantiating the underlying type:: Annotated[C, Ann1](5) == C(5) - Annotated can be used as a generic type alias:: Optimized = Annotated[T, runtime.Optimize()] Optimized[int] == Annotated[int, runtime.Optimize()] OptimizedList = Annotated[List[T], runtime.Optimize()] OptimizedList[int] == Annotated[List[int], runtime.Optimize()] r;cOtd)Nz&Type Annotated cannot be instantiated.rHrr;r;r@rzAnnotated.__new__cCsnt|tr t|dkrtdttf}t|d|vr |d}n d}t|d|}t|dd}t ||S)NrzUAnnotated[...] should be used with at least two arguments (a type and an annotation).rz$Annotated[t, ...]: t must be a type.r) rDrerKrHrrr&rTrr<)rMrZallowed_special_formsrHrrIr;r;r@rs  zAnnotated.__class_getitem__cOstd|jd)NCannot subclass z .Annotated)rHr|rr;r;r@r s zAnnotated.__init_subclass__N) r{r|r}rrrrTr rr r;r;r;r@rs   )_BaseGenericAlias)rWcCs>t|trtSt|tjttttfr|j S|tj urtj SdS)a6Get the unsubscripted version of a type. This supports generic types, Callable, Tuple, Union, Literal, Final, ClassVar and Annotated. Return None for unsupported types. Examples:: get_origin(Literal[42]) is Literal get_origin(int) is None get_origin(ClassVar[int]) is ClassVar get_origin(Generic) is Generic get_origin(Generic[T]) is Generic get_origin(Union[T, int]) is Union get_origin(List[Tuple[T, T]][int]) == list get_origin(P.args) is P N) rDr<rrTrU_typing_GenericAliasrXrr rrr6r;r;r@r&'s   r&cCszt|tr |jf|jSt|tjtfr;t|ddrdS|j}t |t j j ur9|dt ur9t|dd|df}|SdS)aGet type arguments with all substitutions performed. For unions, basic simplifications used by Union constructor are performed. Examples:: get_args(Dict[str, int]) == (str, int) get_args(int) == () get_args(Union[int, Union[T, int], str][int]) == (int, str) get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int]) get_args(Callable[[], T][int]) == ([], int) r^Fr;rNr)rDr<rrGrTrUrYrrr& collectionsrrEllipsisr)r(resr;r;r@r%?s  r%r3c@eZdZddZdS)_TypeAliasFormcCrrrrzr;r;r@ry\r_TypeAliasForm.__repr__Nr{r|r}ryr;r;r;r@r^[ r^cCt|d)a&Special marker indicating 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.  is not subscriptablerUrr;r;r@r3_s c@r])r^cCrrrrzr;r;r@ryorr_Nr`r;r;r;r@r^nraaSpecial marker indicating 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.c@seZdZdZdZddZdS) _DefaultMixinzMixin for TypeVarLike defaults.r;cCsFt|ttfrtdd|D|_dS|rt|d|_dSd|_dS)Ncss|] }t|dVqdS)Default must be a typeNr)r>dr;r;r@rEsz)_DefaultMixin.__init__..re)rDrerZ __default__rTr)rudefaultr;r;r@rs z_DefaultMixin.__init__N)r{r|r}rrrr;r;r;r@rds rdcs2eZdZdZdZddddddfdd ZZS)r zType variable.rTNF)boundrmrorginfer_variancec sztj|g|R|||dt||||_z tdjdd}Wn tt fy1d}Ynw|dkr;||_ dSdSN)rhrmrorr{rtyping_extensions) rrrrdZ__infer_variance__rrrrrrr|) rurrhrmrorgri constraintsdef_modrwr;r@rs  zTypeVar.__init__r{r|r}rrr~r;r;rwr@r sr rc@s$eZdZdZdZddZddZdS) _Immutablez3Mixin to indicate that object should not be copied.r;cCr7rCr;rzr;r;r@__copy__z_Immutable.__copy__cCr7rCr;)rumemor;r;r@ __deepcopy__rqz_Immutable.__deepcopy__N)r{r|r}rrrprsr;r;r;r@ros  roc@(eZdZdZddZddZddZdS) raQThe args for a ParamSpec object. Given a ParamSpec object P, P.args is an instance of ParamSpecArgs. ParamSpecArgs objects have a reference back to their ParamSpec: P.args.__origin__ is P This type is meant for runtime introspection and has no special meaning to static type checkers. cC ||_dSrCrrurHr;r;r@rrzParamSpecArgs.__init__cC|jjdS)Nz.argsrr{rzr;r;r@ryzParamSpecArgs.__repr__cCt|tstS|j|jkSrC)rDrrrrNr;r;r@rO  zParamSpecArgs.__eq__Nr{r|r}rrryrOr;r;r;r@r   c@rt) r a[The kwargs for a ParamSpec object. Given a ParamSpec object P, P.kwargs is an instance of ParamSpecKwargs. ParamSpecKwargs objects have a reference back to their ParamSpec: P.kwargs.__origin__ is P This type is meant for runtime introspection and has no special meaning to static type checkers. cCrurCrvrwr;r;r@rrzParamSpecKwargs.__init__cCrx)Nz.kwargsryrzr;r;r@ryrzzParamSpecKwargs.__repr__cCr{rC)rDr rrrNr;r;r@rOr|zParamSpecKwargs.__eq__Nr}r;r;r;r@r r~r rcs0eZdZdZdZdddddfdd ZZS)rz!Parameter specification variable.rTNFrhrmrorgc sjtj||||dt||z tdjdd}Wn ttfy)d}Ynw|dkr3||_ dSdSrj rrrrdrrrrrrr|rurrhrmrorgrmrwr;r@rs   ParamSpec.__init__rnr;r;rwr@rs csreZdZdZejZeddZeddZ dddddfd d Z d d Z d dZ ddZ ddZddZZS)ra'Parameter specification variable. 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. cCt|SrC)rrzr;r;r@r0zParamSpec.argscCrrC)r rzr;r;r@r4rzParamSpec.kwargsNFrc st|g||_t||_t||_|rt|d|_nd|_t ||z t dj dd}Wn ttfy@d}Ynw|dkrJ||_dSdS)NzBound must be a type.rr{rrk)rrrr{bool __covariant____contravariant__rTr __bound__rdrrrrrrr|rrwr;r@r8s     rcCs&|jrd}n|jr d}nd}||jS)N+-~)rrr{)ruprefixr;r;r@ryLs  zParamSpec.__repr__cCrrCrrRrzr;r;r@rRUrzParamSpec.__hash__cC||uSrCr;rNr;r;r@rOXrVzParamSpec.__eq__cC|jSrCr{rzr;r;r@rM[zParamSpec.__reduce__cOr rCr;rr;r;r@__call___rqzParamSpec.__call__)r{r|r}rrTr rxpropertyrrrryrRrOrMrr~r;r;rwr@rs/   rcsJeZdZejZdZfddZddZddZ dd Z e d d Z Z S) _ConcatenateGenericAliasFcst|||_||_dSrC)rrrrr)rurHrrwr;r@rns  z!_ConcatenateGenericAlias.__init__cs2tj|jddfdd|jDdS)Nrrc3s|]}|VqdSrCr;)r>argrKr;r@rEvrz4_ConcatenateGenericAlias.__repr__..r)rTrKrrrrzr;rr@ryss z!_ConcatenateGenericAlias.__repr__cCrPrC)rQrrrzr;r;r@rRxrSz!_ConcatenateGenericAlias.__hash__cOr rCr;rr;r;r@r|rqz!_ConcatenateGenericAlias.__call__cCstdd|jDS)Ncss$|] }t|tjtfr|VqdSrC)rDrTr r)r>r(r;r;r@rEs  z:_ConcatenateGenericAlias.__parameters__..)rerrzr;r;r@r:sz'_ConcatenateGenericAlias.__parameters__)r{r|r}rTrUrxr^rryrRrrr:r~r;r;rwr@rfs rcsZ|dkrtdt|ts|f}t|dtstddtfdd|D}t||S)Nr;z&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.c3rrCrr=rr;r@rErz'_concatenate_getitem..)rHrDrerrrr;rr@_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. rrr;r;r@rs c@r)_ConcatenateFormcCrrrrzr;r;r@ryrz_ConcatenateForm.__repr__cCrrCrrr;r;r@rrz_ConcatenateForm.__getitem__Nrr;r;r;r@r rrr4c@r])_TypeGuardFormcCrrrrzr;r;r@ryr_TypeGuardForm.__repr__Nr`r;r;r;r@rrarcCs t||d}t||fS) 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). r)rTrrUrr;r;r@r4s,c@r)rcCrrrrzr;r;r@ryrrcCr)Nz accepts only a single typerrr;r;r@rrz_TypeGuardForm.__getitem__Nrr;r;r;r@rrrc@sneZdZdZddZddZddZdd Zd d Zd d Z ddZ ddZ ddZ ddZ ejddZdS) _SpecialForm)rr_getitemcCs||_|j|_|j|_dSrC)rr{rr)rurLr;r;r@r3s z_SpecialForm.__init__cCs|dvr|jSt|)N>r{r})rr)rurr;r;r@ __getattr__8sz_SpecialForm.__getattr__cCtd|)NrWrU)rur%r;r;r@__mro_entries__>rzz_SpecialForm.__mro_entries__cCs d|jSrrrzr;r;r@ryArz_SpecialForm.__repr__cCrrCrrzr;r;r@rMDrz_SpecialForm.__reduce__cOr)NzCannot instantiate rUrurrr;r;r@rGrzz_SpecialForm.__call__cCstj||fSrCrTUnionrNr;r;r@__or__Jrzz_SpecialForm.__or__cCstj||fSrCrrNr;r;r@__ror__Mrzz_SpecialForm.__ror__cCrb)Nz! cannot be used with isinstance()rUrtr;r;r@rsPrzz_SpecialForm.__instancecheck__cCrb)Nz! cannot be used with issubclass()rU)rurMr;r;r@r4Srzz_SpecialForm.__subclasscheck__cCs |||SrC)rrr;r;r@rVrz_SpecialForm.__getitem__N)r{r|r}rrrrryrMrrrrsr4rTr rr;r;r;r@r0srrcCrb)aPRepresents an arbitrary literal string. Example:: from pip._vendor.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. rcrUrurr;r;r@r^sr cCrb)zUsed to spell the type of "self" in classes. Example:: from typing import Self class ReturnsSelf: def parse(self, data: bytes) -> Self: ... return self rcrUrr;r;r@r usr6cCrb)aThe 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 pip._vendor.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 rcrUrr;r;r@r6sc@r])_ExtensionsSpecialFormcCrrrrzr;r;r@ryrz_ExtensionsSpecialForm.__repr__Nr`r;r;r;r@rrarcCr)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. rrrr;r;r@r8scCr)`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, ) rrrr;r;r@r9sr9c@r) _RequiredFormcCrrrrzr;r;r@ryrz_RequiredForm.__repr__cCrrrrr;r;r@rrz_RequiredForm.__getitem__Nrr;r;r;r@rrrrrrc@r])_UnpackSpecialFormcCrrrrzr;r;r@ryrz_UnpackSpecialForm.__repr__Nr`r;r;r;r@rrarc@eZdZejZdS _UnpackAliasNr{r|r}rTr rxr;r;r;r@r rcC t||jd}t||fS)A special typing construct to unpack a variadic type. For example: Shape = TypeVarTuple('Shape') Batch = NewType('Batch', int) def add_batch_axis( x: Array[Unpack[Shape]] ) -> Array[Batch, Unpack[Shape]]: ... rrTrrrrr;r;r@rs cC t|tSrCrDrrvr;r;r@r<rr<c@rrrr;r;r;r@rrc@r) _UnpackFormcCrrrrzr;r;r@ryrz_UnpackForm.__repr__cCrrrrr;r;r@r!s  z_UnpackForm.__getitem__Nrr;r;r;r@rrrrcCrrCrrr;r;r@r<3rr cs&eZdZdZddfdd ZZS)r zType variable tuple.Nrgc sbt|t||z tdjdd}Wn ttfy%d}Ynw|dkr/||_ dSdSNrr{rrkrrurrgrmrwr;r@r=s   TypeVarTuple.__init__rnr;r;rwr@r :sc@sTeZdZdZejZddZddddZdd Z d d Z d d Z ddZ ddZ dS)r aType 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|jVdSrC) __unpacked__rzr;r;r@__iter__ys zTypeVarTuple.__iter__Nrc Csb||_t||z tdjdd}Wn ttfy"d}Ynw|dkr*||_ t ||_ dSr) r{rdrrrrrrrr|rrrr;r;r@r|s rcCrrCrrzr;r;r@ryrzTypeVarTuple.__repr__cCrrCrrzr;r;r@rRrzTypeVarTuple.__hash__cCrrCr;rNr;r;r@rOrVzTypeVarTuple.__eq__cCrrCrrzr;r;r@rMrzTypeVarTuple.__reduce__cOsd|vrtddS)Nrz&Cannot subclass special typing classesrUrr;r;r@r szTypeVarTuple.__init_subclass__)r{r|r}rrTr rxrrryrRrOrMr r;r;r;r@r Js, r/__objr cCstdt|jtjd|S)aReveal 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)printrr{rstderr)rr;r;r@r/sr__argcCrT)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. zExpected code to be unreachable)AssertionErrorrr;r;r@rsr"r;) eq_default order_defaultkw_only_defaultfield_specifiersrrrr.rc sfdd}|S)a Decorator that marks a function, class, or metaclass as providing dataclass-like behavior. Example: from pip._vendor.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. - ``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. csd|_|S)N)rrrrr)Z__dataclass_transform__)Z cls_or_fnrrrrrr;r@ decoratorsz&dataclass_transform..decoratorr;)rrrrrrr;rr@r"sF r-_F)rhcCr7)aIndicate 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. See PEP 698 for details. r;rr;r;r@r-&sc Cs0z tdjddWSttfyYdSw)Nrr{r)rrrrrrr;r;r;r@_callerQs rcCsPdd|D}dd|D}tj||||d}||_|j_tjdkr&||_|S)NcSsg|]\}}|qSr;r;r>r'rZr;r;r@rAXz!_make_nmtuple..c Ss&i|]\}}|t|d|dqS)zfield z annotation must be a typerrr;r;r@r)Ysz!_make_nmtuple..defaultsmoduler\)rZ namedtuplerrr version_infoZ _field_types)rrfrrr"rnm_tplr;r;r@ _make_nmtupleWs r>r{r|rc@r])_NamedTupleMetac sDt|vsJ|D]}|tur|tjurtdqtdd|D}di}g}|D]&}|vr7||q+|rQtd|dt|dkrFdnd d d |q+t || fd d |Ddd}||_ tj|vrwtjj j } t| |_ D]} | tvrtd| | tvr| |jvrt|| | qytj|vr||S)Nz3can only inherit from a NamedTuple type and Genericcss |] }|tur tn|VqdSrC) _NamedTuplerer&r;r;r@rEnrz*_NamedTupleMeta.__new__..rzNon-default namedtuple field z cannot follow default fieldrs rcsg|]}|qSr;r;)r>r'r#r;r@rA{rz+_NamedTupleMeta.__new__..r|rz&Cannot overwrite NamedTuple attribute )rrTrrHrerrcrKrrr-rrr classmethod_prohibited_namedtuple_fieldsr_special_namedtuple_fieldsrsetattrr ) rMr!r%r#rrf default_names field_namerZ class_getitemkeyr;rr@rhsL         z_NamedTupleMeta.__new__N)r{r|r}rr;r;r;r@rgrarcKs.|dur |}n|rtdt||tdS)NzIEither list of fields or keywords can be provided to NamedTuple, not both)r)r-rHrr)Z __typenameZ__fieldsrr;r;r@rs  r)rRz$(typename, fields=None, /, **kwargs)cCst|vsJtfSrC)rr)r%r;r;r@_namedtuple_mro_entriess rrC)NNF)r;)rrZcollections.abcrr?rrfrVrT__all__ZPEP_560rZ GenericMetarrIrQrr[rhr7r rirjrkrlrnrrqrrJrrrr$r(r*rrr,r#r! defaultdictpartialrrr rrrrrrrrr_aliasrrrr+r2r5rrrrr.rABCMetarr1r0rrr r)rr__text_signature__r$r{r|rr5r r'r9rr<rUr&r%rX ImportErrorrWrYr3r^rdrr rorrrr rrrr4r_Finalrr r6r8r9rrrrrr<rr r/rr"rrrrr-rrrr _prohibitedrr/rrrrrrr;r;r;r@s<E                (   )    ,?      ,'=         f!     / / +               Q     R      %