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This method is called when TypedDict is subclassed, or when TypedDict is instantiated. This way TypedDict supports all three syntax forms described in its docstring. Subclasses and instances of TypedDict return actual dictionaries. zHcannot inherit from both a TypedDict type and a non-TypedDict base classNzCannot combine closed=z and extra_itemscss|]}t|tjƒVqdSr„)rEr†rYr>ryryr|røész)_TypedDictMeta.__new__..ryr=Ú__orig_bases__rÚ__annotate__r´z?TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a typecs$i|]\}}|tj|ˆˆjd“qS)©rl)r†rór€©rõÚnÚtp©r÷Útp_dictryr|Ú sÿz*_TypedDictMeta.__new__..csi|]\}}|t |ˆ¡“qSryròrwröryr|r|sÿÚ__required_keys__Ú__optional_keys__Ú__readonly_keys__Ú__mutable_keys__©rtéÚ__extra_items__z5Special key __extra_items__ does not support Requiredz8Special key __extra_items__ does not support NotRequired)%r¾ror†rYr›rNrAr£ÚdictrrÚhasattrrtÚ _TAKES_MODULEÚitemsrÁrÚupdaterrrFÚpoprnrKrLrírJÚdiscardrrÅr}r~rr€Ú __total__Z __closed__rƒ)r¥r³r,ÚnsrqrrrsrZgeneric_baserZown_annotationsZ required_keysZ optional_keysZ readonly_keysZmutable_keysZextra_items_typeZ base_dictrmZ qualifiersZannotation_keyryrzr|r£Ùsœ þ þÿ ÿ ÿ z_TypedDictMeta.__new__cCstdƒ‚dS)Nz4TypedDict does not support instance and class checks©r›r8ryryr|r2Lsz _TypedDictMeta.__subclasscheck__) rr€rrNr£r„rXr2rryryryr|ro×sÿqrorycCstfSr„)Ú _TypedDict©r,ryryr|ÚTórrpcKs|tks|dkr”|tkrd}nd}d|›d|›d}|›d|d}tj|td d |dk rz|dk rz|dk rz||d <d}|tk rŽ||d<t}|}n|r tdƒ‚|rÆtjdkr¶tdƒ‚tjdtd d dt|ƒi} t ƒ} | dk rè| | d<t |d| |||d}tf|_|S)aqA simple typed namespace. At runtime it is equivalent to a plain dict. TypedDict creates a dictionary type such that a type checker will expect all instances to have a certain set of keys, where each key is associated with a value of a consistent type. This expectation is not checked at runtime. 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 an additional equivalent form:: Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str}) By default, all keys must be present in a TypedDict. It is possible to override this by specifying totality:: class Point2D(TypedDict, total=False): x: int y: int This means that a Point2D TypedDict can have any of the keys omitted. A type checker is only expected to support a literal False or True as the value of the total argument. True is the default, and makes all items defined in the class body be required. The Required and NotRequired special forms can also be used to mark individual keys as being required or not required:: class Point2D(TypedDict): x: int # the "x" key must always be present (Required is the default) y: NotRequired[int] # the "y" key can be omitted See PEP 655 for more details on Required and NotRequired. Nú2Failing to pass a value for the 'fields' parameterú(Passing `None` as the 'fields' parameterú`z = TypedDict(z, {})`zœ is deprecated and will be disallowed in Python 3.15. To create a TypedDict class with 0 fields using the functional syntax, pass an empty dictionary, e.g. r1r©Ú stacklevelFTrrrsz@TypedDict takes either a dict or keyword arguments, but not bothrz$TypedDict takes no keyword argumentsz§The kwargs-based syntax for TypedDict definitions is deprecated in Python 3.11, will be removed in Python 3.13, and may not be understood by third-party type checkers.rr€ryrp) Ú_markerÚwarningsÚwarnÚDeprecationWarningrNr›rrFr„rrorrt)ÚtypenameÚfieldsrqrrrsr§Údeprecated_thingÚexampleÚdeprecation_msgrŒrlÚtdryryr|rTsJ9üü ûÿcCs"ttdƒr|tjkrdSt|tƒS)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 rF)r…r†rr…Ú_TYPEDDICT_TYPES©ryryryr|r8ÁscCs|S)aÊAssert (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. ry)rñÚtypryryr|r'Ös cCst|tƒrt|jƒSt|dƒr<|jtttfkr.r‰css|]}t|ƒVqdSr„r¤r¦ryryr|røösrŠcss|]}t|ƒVqdSr„r¤r¦ryryr|røûs)r…Ú_AnnotatedAliasr¥rèr…rKrLrJr·r†r‡r¹rrˆr‰rŠr ÚreduceÚoperatorÚor_)rŒZ stripped_argsryryr|r¥ês( r¥cCs|ttdƒrtj|||dd}ntj|||d}tjdkrFt||||ƒtjdkrbdd„| ¡Dƒ}|rj|Sd d„| ¡DƒS) aˆReturn 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. r%T)ÚglobalnsÚlocalnsÚinclude_extras)r¬rr˜rŽcSs,i|]$\}}|t|ƒtkr|nt|j“qSry)r2ror·©rõÚkrŒryryr|r|-s ý ÿz"get_type_hints..cSsi|]\}}|t|ƒ“qSryr¤r¯ryryr|r|5s)r…r†r5rrFÚ_clean_optionalr‡)rŸr¬rr®Úhintryryr|r5s" ÿ ücCs&t|ƒtk rdS|jdtk r"dSdS)z detects Union[..., None] patternFrT)r2ror·Ú _NoneTyper‹ryryr|Ú_could_be_inserted_optional9s r´cCsf|rt|tƒrdSt |¡}|s$dS|j}| ¡D],\}}t|ƒr2||ks2||dk rZq2||}|dkrnt}t|tƒrú|dkrÄt|t j ƒr”|j}n"|} t| dƒrª| j } q˜t| diƒ}|dkrÐ|}n|dkrÐ|}tjdkrät|ƒ}nt|t|t j ƒd}t |||¡} tjdkr,t| ƒtkr,t| j} | |ksXtt dƒr2t| t jƒr2t|t jƒs2| ||<q2dS)NÚ__wrapped__Ú__globals__rŽ)Úis_argumentrŠ)r…r¾r†Ú _get_defaultsrr‡r´r³rÓrˆÚ ModuleTyperr…rµrÕrrFrVÚ _eval_typer2ror·rŠ)rŸÚhintsr¬rråZoriginal_hintsr³rcÚoriginal_valueÚnsobjZoriginal_evaluatedryryr|r±DsZ ÿ þ þ þ ý ür±csHeZdZdZ‡fdd„Zdd„Zdd„Zdd „Zd d„Zdd „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|tƒr|j|}|j}tƒ ||¡||_dSr„)r…r¨Ú__metadata__rèrœrË)r{rëÚmetadatar ryr|rËs z_AnnotatedAlias.__init__cCs$t|ƒdkst‚|d}t||jƒS©Nr´r)rÎrÐr¨r¾)r{r»Únew_typeryryr|r”sz_AnnotatedAlias.copy_withcCs,dt |j¡›dd dd„|jDƒ¡›dS)Nztyping_extensions.Annotated[ú, css|]}t|ƒVqdSr„)Úreprr¦ryryr|røšsz+_AnnotatedAlias.__repr__..ú])r†Ú _type_reprrèÚjoinr¾rzryryr|r}™sz_AnnotatedAlias.__repr__cCstjt|jf|j˜ffSr„)rªÚgetitemr%rèr¾rzryryr|rhsÿz_AnnotatedAlias.__reduce__cCs*t|tƒstS|j|jkrdS|j|jkS)NF)r…r¨rÀrèr¾©r{rÂryryr|rÃ¢s z_AnnotatedAlias.__eq__cCst|j|jfƒSr„)rÄrèr¾rzryryr|rÆ©sz_AnnotatedAlias.__hash__)rr€rr¨rËrr}rhrÃrÆr¢ryryr r|r¨…sr¨c@s2eZdZdZdZdd„Zejdd„ƒZdd„Z d S) r%a¡Add context specific metadata to a type. Example: Annotated[int, runtime_check.Unsigned] indicates to the hypothetical runtime_check module that this type is an unsigned int. Every other consumer of this type can ignore this metadata and treat this type as int. The first argument to Annotated must be a valid type (and will be in the __origin__ field), the remaining arguments are kept as a tuple in the __extra__ field. Details: - It's an error to call `Annotated` with less than two arguments. - Nested Annotated are flattened:: Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3] - Instantiating an annotated type is equivalent to instantiating the underlying type:: Annotated[C, Ann1](5) == C(5) - Annotated can be used as a generic type alias:: Optimized = Annotated[T, runtime.Optimize()] Optimized[int] == Annotated[int, runtime.Optimize()] OptimizedList = Annotated[List[T], runtime.Optimize()] OptimizedList[int] == Annotated[List[int], runtime.Optimize()] rycOstdƒ‚dS)Nz&Type Annotated cannot be instantiated.rr¤ryryr|r£ÏszAnnotated.__new__cCsnt|tƒrt|ƒdkrtdƒ‚ttf}t|dƒ|kr@|d}nd}t |d|¡}t|dd…ƒ}t ||ƒS)NrzUAnnotated[...] should be used with at least two arguments (a type and an annotation).rz$Annotated[t, ...]: t must be a type.r´) r…r¹rÎr›rrr2r†rór¨)r¥r»Zallowed_special_formsrër÷r¿ryryr|Ú__class_getitem__Òs zAnnotated.__class_getitem__cOstd|j›dƒ‚dS)NúCannot subclass z .Annotated)r›r€r¤ryryr|r@ásÿzAnnotated.__init_subclass__N) rr€rr¨rCr£r†rrÉr@ryryryr|r%¬s )Ú_BaseGenericAlias)r‰cCs>t|tƒrtSt|tjttttfƒr*|j S|tj kr:tj 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)r…r¨r%r†r‡Ú_typing_GenericAliasrËrr rèrYr¢ryryr|r2ùs ÿ cCszt|tƒr|jf|j˜St|tjtfƒrvt|ddƒr8dS|j}t |ƒt jjkrr|dt k rrt|dd…ƒ|df}|SdS)aÆGet 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) rFryrNr)r…r¨rèr¾r†r‡rÌrÕr·r2r=rrRÚEllipsisrÍ)ryÚresryryr|r1s cCst|›dƒ‚dS)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. ú is not subscriptableNr©r{rºryryr|rB-sa%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.cs‡fdd„|_ˆ|_dS)Ncsˆtk Sr„)rMry©Údefaultryr|rLr‘z_set_default..)Úhas_defaultÚ__default__)Ú type_paramrÒryrÑr|Ú_set_defaultKsrÖcCstdd}|dkr||_dS)Nrtrr)rr€)ZtypevarlikeÚdef_modryryr|Ú_set_modulePs rØc@seZdZdZdZeZdS)Ú _DefaultMixinzMixin for TypeVarLike defaults.ryN)rr€rr¨rCrÖrËryryryr|rÙWsrÙc@seZdZeedœdd„ZdS)Ú_TypeVarLikeMeta)Ú_TypeVarLikeMeta__instancer:cCst||jƒSr„)r…Ú_backported_typevarlike)r¥rÛryryr|r`sz"_TypeVarLikeMeta.__instancecheck__N)rr€rrÚboolrryryryr|rÚ_srÚ)rc@s:eZdZdZejZdddeddœdd„Zddœdd „Z dS) rzType variable.NF)Úboundr•r—rÒÚinfer_variancec s„ttdƒr(tj|f|ž||||dœŽ‰n4tj|f|ž|||dœŽ‰|rV|sN|rVtdƒ‚|ˆ_tˆ|ƒtˆƒ‡fdd„}|ˆ_ˆS)NrC©rÞr•r—rß©rÞr•r—z1Variance cannot be specified with infer_variance.cs,ˆ ¡r(|j ˆ¡t|ƒkr(|ˆjf7}|Sr„)rÓÚ__parameters__ÚindexrÎrÔ)Úaliasr¦©Ztypevarryr|Ú_tvar_prepare_substsÿþz,TypeVar.__new__.._tvar_prepare_subst)r…r†rrÚ__infer_variance__rÖrØÚ__typing_prepare_subst__) r¥r³rÞr•r—rÒrßÚconstraintsræryrår|r£ms$ þ ÿ zTypeVar.__new__r9cCstdt›dƒ‚dS)Nútype 'z(.TypeVar' is not an acceptable base typerbr;ryryr|r@ŠszTypeVar.__init_subclass__) rr€rr¨r†rrÜrMr£r@ryryryr|rhsþc@s$eZdZdZdZdd„Zdd„ZdS)Ú _Immutablez3Mixin to indicate that object should not be copied.rycCs|Sr„ryrzryryr|Ú__copy__˜sz_Immutable.__copy__cCs|Sr„ry)r{Úmemoryryr|Ú__deepcopy__›sz_Immutable.__deepcopy__N)rr€rr¨rCrìrîryryryr|rë”srëc@s(eZdZdZdd„Zdd„Zdd„ZdS) 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. cCs ||_dSr„©rè©r{rëryryr|rËªszParamSpecArgs.__init__cCs|jj›dS)Nz.args©rèrrzryryr|r}szParamSpecArgs.__repr__cCst|tƒstS|j|jkSr„)r…rrÀrèrÈryryr|rÃ°s zParamSpecArgs.__eq__N©rr€rr¨rËr}rÃryryryr|ržsc@s(eZdZdZdd„Zdd„Zdd„ZdS) 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. cCs ||_dSr„rïrðryryr|rËÁszParamSpecKwargs.__init__cCs|jj›dS)Nz.kwargsrñrzryryr|r}ÄszParamSpecKwargs.__repr__cCst|tƒstS|j|jkSr„)r…r rÀrèrÈryryr|rÃÇs zParamSpecKwargs.__eq__Nròryryryr|r µs)rc@s:eZdZdZejZddddedœdd„Zddœdd „Z dS) rzParameter specification.NF©rÞr•r—rßrÒcs`ttdƒr tj|||||d‰ntj||||d‰|ˆ_tˆ|ƒtˆƒ‡fdd„}|ˆ_ˆS)NrCràrács²|j}| ˆ¡}|t|ƒkr0ˆ ¡r0|ˆjf•}|t|ƒkrJtd|›ƒ‚t|ƒdkrxt |d¡sx|dkspt‚|f}n6t ||t ƒr®|d|…t||ƒf||dd…˜}|S)NúToo few arguments for r´r)rârãrÎrÓrÔr›r†Ú_is_param_exprrÐr…rÍr¹)rär¦r»Úi©Z paramspecryr|Ú_paramspec_prepare_substës (z3ParamSpec.__new__.._paramspec_prepare_subst)r…r†rrçrÖrØrè)r¥r³rÞr•r—rßrÒrøryr÷r|r£Ùs ýþ zParamSpec.__new__r9cCstdt›dƒ‚dS)Nrêz*.ParamSpec' is not an acceptable base typerbr;ryryr|r@þszParamSpec.__init_subclass__) rr€rr¨r†rrÜrMr£r@ryryryr|rÔsþ%c@sleZdZdZejZedd„ƒZedd„ƒZ dddde dœd d „Zdd„Zd d„Z dd„Zdd„Zdd„ZdS)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. cCst|ƒSr„)rrzryryr|r¦7szParamSpec.argscCst|ƒSr„)r rzryryr|r§;szParamSpec.kwargsNFrócCspt ||g¡||_t|ƒ|_t|ƒ|_t|ƒ|_|rFt |d¡|_ nd|_ t ||¡tƒ}|dkrl||_dS)NzBound must be a type.r) rÍrËrrÝÚ __covariant__Ú__contravariant__rçr†róÚ __bound__rÙrr€)r{r³rÞr•r—rßrÒr×ryryr|rË?s zParamSpec.__init__cCs2|jrd}n|jrd}n|jr$d}nd}||jS)NÚú+ú-ú~)rçrùrúr)r{Úprefixryryr|r}QszParamSpec.__repr__cCs t |¡Sr„©rîrÆrzryryr|rÆ\szParamSpec.__hash__cCs||kSr„ryrÈryryr|rÃ_szParamSpec.__eq__cCs|jSr„©rrzryryr|rhbszParamSpec.__reduce__cOsdSr„ryr#ryryr|rXfszParamSpec.__call__)rr€rr¨r†rr¡Úpropertyr¦r§rMrËr}rÆrÃrhrXryryryr|rs/ ÿÚ _type_convert)Úallow_special_formscCsT|dkrtdƒSt|tƒrPtjdkr,t|ƒStjdkrBt||dSt|||dS|S)z=For converting None to type(None), and strings to ForwardRef.N)rtré)rtrérv)rlZis_class)r¾r…rÓrrFrV)r&rlrryryr|rps csZeZdZejZdZ‡fdd„Zdd„Zdd„Z dd „Z ed d„ƒZdd „Z dd„Z‡ZS)Ú_ConcatenateGenericAliasFcstƒ |¡||_||_dSr„)rœrËrèr·)r{rër¦r ryr|rË†sz!_ConcatenateGenericAlias.__init__cs2tj‰ˆ|jƒ›dd ‡fdd„|jDƒ¡›dS)Nú[rÂc3s|]}ˆ|ƒVqdSr„ry©rõr&©rÅryr|røsz4_ConcatenateGenericAlias.__repr__..rÄ)r†rÅrèrÆr·rzryrr|r}‹sz!_ConcatenateGenericAlias.__repr__cCst|j|jfƒSr„)rÄrèr·rzryryr|rÆsz!_ConcatenateGenericAlias.__hash__cOsdSr„ryr#ryryr|rX”sz!_ConcatenateGenericAlias.__call__cCstdd„|jDƒƒS)Ncss"|]}t|tjtfƒr|VqdSr„)r…r†rr)rõryryryr|rø™sz:_ConcatenateGenericAlias.__parameters__..)r¹r·rzryryr|râ—sÿz'_ConcatenateGenericAlias.__parameters__cCs|t|dtƒr&|dd…|dj˜}nHt|dttfƒrL|dd…|d˜S|ddksnt|dtƒsntdƒ‚| |j|¡S©Nr.úMThe last parameter to Concatenate should be a ParamSpec variable or ellipsis.) r…rr·rÍr¹rr›r¡rè©r{r»ryryr|rŸsú"_ConcatenateGenericAlias.copy_withc sž|jttfkrtd|›ƒ‚|js0t|›dƒ‚t|tƒs@|f}tdd„|DƒŽ}|j}|D]ð}t|ddƒ}|dk r€|||ƒ}q\t|t ƒr\| |¡}|t|ƒkr¼t|dtƒtk r¼||j f•}|t|ƒkrÖtd|›ƒ‚t|ƒdkrt|d ƒs|d kst‚|f}q\t||tƒr\t||tƒs\|d|…t||ƒf||dd…˜}q\t|ƒ}t|ƒ}||kr–td ||krzdnd›d |›d|›d|›ƒ‚tt|j|ƒƒ‰g}|jD]Þ} t| tƒrÎ| | ¡q°t| tƒr2ˆ| } t| tjƒrút| ƒs"ttdƒr‚t| tjƒr‚t| ddƒr‚t| ›dƒ‚nPt| ttdƒsHtjn tjtjfƒr‚| j} | r‚t‡fdd„| Dƒƒ}| |} | | ¡q°| t|ƒ¡S)Nz%Cannot subscript already-subscripted rúcss|]}t|ƒVqdSr„)rrôryryr|rø³sú7_ConcatenateGenericAlias.__getitem__..rèrÔrôr´rrûrürýrþrÿrr‰Ú__unpacked__Fú is not valid as type argumentc3s|]}ˆ|VqdSr„ry)rõÚx©Zsubstryr|røñs)rèrYr=r›râr…r¹Ú_unpack_argsrÕrrãrÎrMrÔrõrÐrÍrr„Úzipr·r¾r¸rr†r‡Ú _is_unpackr…rˆr‰r)r{r¦r»ÚparamÚprepareröÚalenÚplenÚnew_argsr&Z subparamsÚsubargsryrr|rÒªs‚ ÿþÿü* (ÿ ÿÿý ü ûÿ ýú$_ConcatenateGenericAlias.__getitem__)rr€rr†r‡r¡rrËr}rÆrXrrârrÒr¢ryryr r|r~s rcs,eZdZdZ‡fdd„Z‡fdd„Z‡ZS)rr†cs‚t|dttfƒr&|dd…|d˜St|dtjƒrN|dd…|dj˜}n"|ddkspt|dtƒsptdƒ‚ttj|ƒ |¡Sr) r…rÍr¹r†rr·rr›rœrrr ryr|rsrcsBtƒ |¡}t|tƒr>tdd„|Dƒƒr>ttdd„|DƒŽƒS|S)Ncss|]}t|ƒVqdSr„©r©rõrŒryryr|rø srcss|] }|VqdSr„ry©rõrxryryr|røs)rœrÒr…r¹rAr)r{r¦rcr ryr|rÒsr)rr€rrrÒr¢ryryr r|rýs c@seZdZdS)Ú_EllipsisDummyN)rr€rryryryr|r"sr"cCs |ddkr(tjdkr(|dd…tf˜}tjdkrHt||ttfdd}n t||ƒ}|dtk rb|Stdd„|jDƒƒ|_tjd kr†|Std d„|jDƒƒ|_|S)Nr.)rtrr©rtrƒrtT)Z_typevar_typesZ_paramspec_tvarscss|]}|tk r|ndVqdS).N©r"rôryryr|rø$sÿz,_create_concatenate_alias..r‚css|]}|tk r|VqdSr„r$rôryryr|rø)sÿ) rrFr"rrrr¹r·râ)rërºZconcatenateryryr|Ú_create_concatenate_aliass" þ ÿ r%cst|dkrtdƒ‚t|tƒs |f}|ddksBt|dtƒsBtdƒ‚d‰‡fdd„|dd…Dƒ|df˜}t||ƒS) Nryz&Cannot take a Concatenate of no types.r.r z/Concatenate[arg, ...]: each arg must be a type.c3s|]}t |ˆ¡VqdSr„ròrôröryr|rø9sz'_concatenate_getitem..)r›r…r¹rr%rÐryrör|Ú_concatenate_getitem/s ÿr&cCs t||ƒS)á&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. ©r&rÐryryr|rCsc@seZdZdd„ZdS)Ú_ConcatenateFormcCs t||ƒSr„r(rÐryryr|rÒSsz_ConcatenateForm.__getitem__N©rr€rrÒryryryr|r)Rsr)r'cCs t ||›d¡}t ||f¡S)á 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). ú accepts only a single type.©r†rór‡©r{rºÚitemryryr|rEhs,c@seZdZdd„ZdS)Ú_TypeGuardFormcCs"t ||j›d¡}t ||f¡S©Nz accepts only a single type©r†rórr‡r.ryryr|rÒ™s ÿz_TypeGuardForm.__getitem__Nr*ryryryr|r0˜sr0r+cCs t ||›d¡}t ||f¡S)áwSpecial 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 ``TypeIs`` 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). r,r-r.ryryr|rFÐs&c@seZdZdd„ZdS)Ú_TypeIsFormcCs"t ||j›d¡}t ||f¡Sr1r2r.ryryr|rÒûs ÿz_TypeIsForm.__getitem__Nr*ryryryr|r4úsr4r3c@seZdZdd„ZdS)Ú _TypeFormFormcCs|Sr„ryržryryr|rX/ sú_TypeFormForm.__call__N)rr€rrXryryryr|r5, sr5cCs t ||›d¡}t ||f¡S)áÕA special form representing the value that results from the evaluation of a type expression. This value encodes the information supplied in the type expression, and it represents the type described by that type expression. When used in a type expression, TypeForm describes a set of type form objects. It accepts a single type argument, which must be a valid type expression. ``TypeForm[T]`` describes the set of all type form objects that represent the type T or types that are assignable to T. Usage: def cast[T](typ: TypeForm[T], value: Any) -> T: ... reveal_type(cast(int, "x")) # int See PEP 747 for more information. r,r-r.ryryr|rD2 sc@seZdZdd„Zdd„ZdS)r5cCs"t ||j›d¡}t ||f¡Sr1r2r.ryryr|rÒJ s ÿz_TypeFormForm.__getitem__cCs|Sr„ryržryryr|rXO sr6N)rr€rrÒrXryryryr|r5I sr7c@sneZdZdZdd„Zdd„Zdd„Zdd „Zd d„Zdd „Z dd„Z dd„Zdd„Zdd„Z ejdd„ƒZdS)Ú_SpecialForm)rr¨Ú_getitemcCs||_|j|_|j|_dSr„)r9rrr¨©r{rÇryryr|rËk sz_SpecialForm.__init__cCs|dkr|jSt|ƒ‚dS)N>rr)rr°)r{r/ryryr|Ú__getattr__p sz_SpecialForm.__getattr__cCstd|›ƒ‚dS)NrÊr)r{r,ryryr|rYv sz_SpecialForm.__mro_entries__cCsd|j›Sr«r¬rzryryr|r}y sz_SpecialForm.__repr__cCs|jSr„r¬rzryryr|rh| sz_SpecialForm.__reduce__cOstd|›ƒ‚dS)NzCannot instantiate r©r{r¦Úkwdsryryr|rX sz_SpecialForm.__call__cCstj||fSr„©r†rorÈryryr|Ú__or__‚ sz_SpecialForm.__or__cCstj||fSr„r>rÈryryr|Ú__ror__… sz_SpecialForm.__ror__cCst|›dƒ‚dS)Nz! cannot be used with isinstance()rržryryr|rˆ sz_SpecialForm.__instancecheck__cCst|›dƒ‚dS)Nz! cannot be used with issubclass()r)r{r¥ryryr|r2‹ sz_SpecialForm.__subclasscheck__cCs| ||¡Sr„)r9rÐryryr|rÒŽ sz_SpecialForm.__getitem__N)rr€rrCrËr;rYr}rhrXr?r@rr2r†rrÒryryryr|r8h sr8cCst|›dƒ‚dS)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. rÏNrrryryr|r– scCst|›dƒ‚dS)zòUsed to spell the type of "self" in classes. Example:: from typing import Self class ReturnsSelf: def parse(self, data: bytes) -> Self: ... return self rÏNrrryryr|r scCst|›dƒ‚dS)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 rÏNrrryryr|rHÂ scCs"t ||j›d¡}t ||f¡S)áêA 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. r,r2r.ryryr|rKá scCs"t ||j›d¡}t ||f¡S)á`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, ) r,r2r.ryryr|rLõ sc@seZdZdd„ZdS)Ú _RequiredFormcCs"t ||j›d¡}t ||f¡S©Nr,r2r.ryryr|rÒ s ÿz_RequiredForm.__getitem__Nr*ryryryr|rC srCrArBcCs"t ||j›d¡}t ||f¡S)aŸA 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. r,r2r.ryryr|rJ1 sc@seZdZdd„ZdS)Ú _ReadOnlyFormcCs"t ||j›d¡}t ||f¡SrDr2r.ryryr|rÒF s ÿz_ReadOnlyForm.__getitem__Nr*ryryryr|rEE srEaœA 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. aÜType 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|ƒtkSr„)r2r©rŸryryr|rŠ srcseZdZ‡fdd„Z‡ZS)Ú_UnpackSpecialFormcstƒ |¡t|_dSr„)rœrËÚ_UNPACK_DOCr¨r:r ryr|rË sz_UnpackSpecialForm.__init__)rr€rrËr¢ryryr r|rGŽ srGcsDeZdZejdkrejZedd„ƒZ edd„ƒZ ‡fdd„Z‡ZS)Ú_UnpackAliasr˜cCsV|jtkst‚t|jƒdks t‚|j\}t|tjtj fƒrR|jt k rLtdƒ‚|jSdS©Nr´z*Unpack[...] must be used with a tuple type)rèrrÐrÎr·r…r†r‡rˆr‰r¹r›©r{r&ryryr|Ú__typing_unpacked_tuple_args__˜ s ú+_UnpackAlias.__typing_unpacked_tuple_args__cCs0|jtkst‚t|jƒdks t‚t|jdtƒSrÀ©rèrrÐrÎr·r…r rzryryr|Ú#__typing_is_unpacked_typevartuple__£ sú0_UnpackAlias.__typing_is_unpacked_typevartuple__cs|jr |Stƒ |¡Sr„©rOrœrÒ©r{r¦r ryr|rÒ© sú_UnpackAlias.__getitem__) rr€rrrFr†rr¡rrLrOrÒr¢ryryr r|rI“ s rIcCs t ||j›d¡}t||fƒSrD©r†rórrIr.ryryr|r® scCs t|tƒSr„©r…rIrFryryr|r³ scs:eZdZejZedd„ƒZedd„ƒZ‡fdd„Z ‡Z S)rIcCsP|jtkst‚t|jƒdks t‚|j\}t|tjƒrL|jtk rFt dƒ‚|jSdSrJ) rèrrÐrÎr·r…r†r‡r¹r›rKryryr|rLº s rMcCs0|jtkst‚t|jƒdks t‚t|jdtƒSrÀrNrzryryr|rOÅ srPcs|jr |Stƒ |¡Sr„rQrRr ryr|rÒË srS)rr€rr†rr¡rrLrOrÒr¢ryryr r|rI· s c@seZdZdd„ZdS)Ú_UnpackFormcCs t ||j›d¡}t||fƒSrDrTr.ryryr|rÒÑ s ÿz_UnpackForm.__getitem__Nr*ryryryr|rVÐ srVcCs t|tƒSr„rUrFryryr|rØ scGsLg}|D]>}t|ddƒ}|dk r<|r0|ddks<| |¡q| |¡q|S)NrLr.)rÕr¶r¸)r¦Znewargsr&rryryr|rÜ sr)r c@s,eZdZdZejZedœdd„Zdd„Z dS)r zType variable tuple.rÑcs2t |¡‰tˆ|ƒtˆƒ‡fdd„}|ˆ_ˆS)Ncs|j}| ˆ¡}||dd…D]}t|tƒr td|›ƒ‚q t|ƒ}t|ƒ}|}||d}d} d} t|ƒD]V\}}t|tƒsnt|ddƒ} | rnt| ƒdkrn| ddkrn| dk r¸tdƒ‚|} | d} qn| dk rìt || ƒ}t ||| dƒ}n,|||krtd |›d |›d|d›ƒ‚|||kr<ˆ ¡r._typevartuple_prepare_subst)r†r rÖrØrè)r¥r³rÒr]ryr\r|r£ò s -zTypeVarTuple.__new__cOstdƒ‚dS)Nú&Cannot subclass special typing classesrr<ryryr|r@'súTypeVarTuple.__init_subclass__N) rr€rr¨r†r rÜrMr£r@ryryryr|r í s5c@sTeZdZdZejZdd„Zedœdd„Z dd„Z d d „Zdd„Zd d„Z dd„ZdS)r aÅType 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„)rrzryryr|Ú__iter__ZszTypeVarTuple.__iter__rÑcCs4||_t ||¡tƒ}|dkr&||_t||_dS)Nr)rrÙrËrr€rr)r{r³rÒr×ryryr|rË]szTypeVarTuple.__init__cCs|jSr„rrzryryr|r}hszTypeVarTuple.__repr__cCs t |¡Sr„rrzryryr|rÆkszTypeVarTuple.__hash__cCs||kSr„ryrÈryryr|rÃnszTypeVarTuple.__eq__cCs|jSr„rrzryryr|rhqszTypeVarTuple.__reduce__cOsd|krtdƒ‚dS)Nr®r^rr<ryryr|r@tsr_N)rr€rr¨r†rr¡r`rMrËr}rÆrÃrhr@ryryryr|r +s,)rŸr:cCstdt|ƒj›tjd|S)açReveal 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 )Úfile)Úprintr¾rrÚstderrrFryryr|r>|sÚ_ASSERT_NEVER_REPR_MAX_LENGTHéd©r&r:cCs6t|ƒ}t|ƒtkr$|dt…d}td|›ƒ‚dS)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: )rÃrÎrdrÐ)r&rcryryr|r&™s)Ú eq_defaultÚ order_defaultÚkw_only_defaultÚfrozen_defaultÚfield_specifiers.)rgrhrirjrkr§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. csˆˆˆˆˆˆdœ|_|S)N)rgrhrirjrkr§)Z__dataclass_transform__)Z cls_or_fn©rgrkrjrir§rhryr|Ú decoratorsúz&dataclass_transform..decoratorry)rgrhrirjrkr§rmryrlr|r)·sI Ú_F)rÞc Cs(z d|_Wnttfk r"YnX|S)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%ryryr|r<s )rtrurtÚ_Tc@sHeZdZdZeddœeejeje e ddœdd„Zeedœd d „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. The deprecation message passed to the decorator is saved in the ``__deprecated__`` attribute on the decorated object. If applied to an overload, the decorator must be after the ``@overload`` decorator for the attribute to exist on the overload as returned by ``get_overloads()``. See PEP 702 for details. r´©Úcategoryr–N)Úmessagerqr–r:cCs4t|tƒstdt|ƒj›ƒ‚||_||_||_dS)Nz2Expected an object of type str for 'message', not )r…rÓr›r¾rrrrqr–)r{rrrqr–ryryr|rËfs ÿzdeprecated.__init__rfc sv|j‰|j‰|j‰ˆdkr$ˆˆ_ˆStˆtƒræddl}ddlm}ˆj ‰| ˆ¡‡‡‡‡‡fdd„ƒ}t|ƒˆ_ ˆj‰tˆ|ƒr®ˆj ‰| ˆ¡‡‡‡‡fdd„ƒ}t|ƒˆ_n"| ˆ¡‡‡‡‡fdd„ƒ}|ˆ_ˆˆ_|_ˆ|_ˆStˆƒrdddl}ddl}ddl}| ˆ¡‡‡‡‡fdd „ƒ}|j ˆ¡rTtjd krJ| |¡}n |jj|_ˆˆ_|_|Stdˆ›ƒ‚dS)Nr)Ú MethodTypecsh|ˆkrtjˆˆˆddˆtjk r6ˆ|f|ž|ŽS|jtjkr\|sJ|r\t|j›dƒ‚nˆ|ƒSdS)Nr´rpz() takes no arguments)r˜r™rîr£rËr›rr¤)r&rqr÷Úoriginal_newr–ryr|r£†s z$deprecated.__call__..__new__cstjˆˆˆddˆ||ŽS©Nr´rp©r˜r™©r¦r§©rqr÷Úoriginal_init_subclassr–ryr|r@šsz.deprecated.__call__..__init_subclass__cstjˆˆˆddˆ||ŽSrurvrwrxryr|r@£scstjˆˆˆddˆ||ŽSrurvrw)r&rqr÷r–ryr|Úwrapper²sz$deprecated.__call__..wrapperrJzY@deprecated decorator with non-None category must be applied to a class or callable, not )rrrqr–Z__deprecated__r…r¾r Útypesrsr£Úwrapsr[r@rÔÚclassmethodrGZasyncio.coroutinesr5Ú coroutinesÚiscoroutinefunctionrrFZmarkcoroutinefunctionÚ _is_coroutiner›) r{r&r rsr£r@Úasyncior5rzry)r&rqr÷ryrtr–r|rXwsP ÿzdeprecated.__call__)rr€rr¨ršrÓr†rgrÚWarningr<rËrorXryryryr|r*<s.úùcCs|dkpt|ttttfƒS©N.)r…r¹rÍrrr%ryryr|rõÆs ÿrõcCs|dkpt|tttttjfƒSrƒ)r…r¹rÍrrr†r%ryryr|rõËs ûþcCszt |¡rHt|tjƒrHt|jƒdkrHt|jdtƒrH|rHt |dƒsHdS|sZt |›dƒ‚|tkrŠt|dƒrr|js€t |›dƒ‚t|jƒ}t|ƒ}||krv|}t|dƒr.dd„|jDƒ}t dd „|Dƒƒ}|dkræ|||krædS||kr.t||d tƒtk r dSt dd „|Dƒƒ}||8}d|›}tjd kr>dnd}t d||krTdnd›d|›d|›d|›d|› ƒ‚dS)ú“Check correct count for parameters of a generic cls (internal helper). This gives a nice error message in case of count mismatch. r´rNrúrâcSsg|]}t|ƒs|‘qSryrrôryryr|Ú úsú"_check_generic..css|]}t|tƒVqdSr„)r…r rôryryr|røûsú!_check_generic..rÔcss|]}t|dtƒtk VqdS©rÔN©rÕrMrôryryr|rø sÿ ÿrùr‚Ú argumentsrºrûrürýú z for rÿr)r5ÚisclassrEr†rYrÎrâr…rrõr›r—r…ÚsumrÕrMrrF)r¥rºÚelenrÚ expect_valZ num_tv_tuplesÚnum_default_tvZthingsryryr|Ú_check_genericàsJÿþý ü ÿÿÿ r‘c Cs´|st|›dƒ‚t|ƒ}||kr°|}t|dƒr„dd„|jDƒ}||kr„t||dtƒtk r`dStdd„|Dƒƒ}||8}d |›}td ||kr”dnd›d |›d|›d|›ƒ‚dS)r„rúrâcSsg|]}t|ƒs|‘qSryrrôryryr|r…" sr†rÔNcss|]}t|dtƒtk VqdSrˆr‰rôryryr|rø/ sÿ ÿr‡rùrûrürýrþrÿr)r›rÎr…rârÕrMr)r¥rºrŽrrrryryr|r‘ s& ÿÿÿ r9c Csjzt d¡}Wnttfk r(YdSX|j d¡dkr>dS|j d¡}|tjkpd|t kpd|tj kSdS)NrFrr†rë) rrr°rrrÚf_localsr†rYr=)Úframerëryryr|Ú"_has_generic_or_protocol_as_origin= sr”cCs<t|ƒtk rdSt|ƒ}t|ƒo:t|ƒdko:t|dƒtkS)NFr´r)r2rr1rÝrÎr¾Ú_TYPEVARTUPLE_TYPES)rr¦ryryr|Ú_is_unpacked_typevartupleS s ÿýr–Ú_collect_type_varsc sþ|dkrtj}g‰tƒ}d}d}|D]Ð}t|ƒr6d}ndt||ƒršt|tƒsš|ˆkrš|rt|dtƒtk }|r||rvtdƒ‚d}n|rtd|›dƒ‚ˆ |¡t |ƒr¾ˆ ‡fdd „|jDƒ¡q$t|t ƒr$|D]&}t|gƒD]}|ˆkrÚˆ |¡qÚqÌq$t ˆƒS) zºCollect all type variable contained in types in order of first appearance (lexicographic order). For example:: _collect_type_vars((T, List[S, T])) == (T, S) NFTrÔú2Type parameter with a default follows TypeVarTupleúType parameter ú8 without a default follows type parameter with a defaultcsg|]}|ˆkr|‘qSryryr ©Útvarsryr|r…† sz&_collect_type_vars..)r†rr”r–r…rIrÕrMr›r¸rr¶râr¹r—) r{Z typevar_typesÚenforce_default_orderingÚdefault_encounteredÚtype_var_tuple_encounteredrŒrÓrÚ collectedryr›r|r—` s@ÿÿþ c Csøg}tƒ}d}d}|D]Ø}t|tƒr&qt|tƒr^|D]&}t|gƒD]}||krB| |¡qBq4qt|dƒr¾||krî|r²t|dtƒtk }|r”|r”t dƒ‚|ržd}n|r²t d|›dƒ‚| |¡qt |ƒrÊd}t|dd ƒD]}||krÖ| |¡qÖqt|ƒS) zâCollect all type variables and parameter specifications in args in order of first appearance (lexicographic order). For example:: assert _collect_parameters((T, Callable[P, T])) == (T, P) FZ__typing_subst__rÔr˜Tr™ršrâry)r”r…r¾r¹Ú_collect_parametersr¸r…rÕrMr›r–) r¦rºrržrŸrŒrr rÓryryr|r¡’ s< ÿr¡cCsPdd„|Dƒ}dd„|Dƒ}tj||||d}||_|j_tjdkrL||_|S)NcSsg|]\}}|‘qSryry©rõrxrŒryryr|r…Ö sz!_make_nmtuple..c Ss&i|]\}}|t |d|›d¡“qS)zfield z annotation must be a typeròr¢ryryr|r|× sÿz!_make_nmtuple..©rårlrŽ)r=Ú namedtuplerr£rrFÚ_field_types)r³r{rlrårœrÚnm_tplryryr|Ú _make_nmtupleÕ sÿÿ r§r€rrc@seZdZdd„ZdS)Ú_NamedTupleMetacs0t|kst‚|D]}|tk r|tjk rtdƒ‚qtdd„|Dƒƒ}dˆkrTˆd}ndˆkrjˆddƒ}ni}g}|D]L}|ˆkrŽ| |¡qv|rvtd|›dt|ƒdkr¬d nd ›dd |¡›ƒ‚qvt || ¡‡fd d„|Dƒˆdd}||_tj|kr*ttdƒrt tjƒ|_ntjjj} t | ƒ|_ˆ ¡D]ä\} }| tkrRtd| ƒ‚nÂ| tkr2| |jkrxt|| ˆ| ƒzt|ƒj}Wntk rœYnxXz|||| ƒWndtk r} zDdt|ƒj›d| ›d|›}tjdkrø| |¡‚n t|ƒ| ‚W5d} ~ XYnXq2tj|kr,| ¡|S)Nz3can only inherit from a NamedTuple type and Genericcss|]}|tkrtn|VqdSr„)Ú_NamedTupler¹)rõrryryr|røì sz*_NamedTupleMeta.__new__..rrur´zNon-default namedtuple field z cannot follow default fieldÚsrür‹rÂcsg|]}ˆ|‘qSryryr!©rŒryr|r…ÿ sz+_NamedTupleMeta.__new__..r€r£Ú_generic_class_getitemz&Cannot overwrite NamedTuple attribute zError calling __set_name__ on z instance z in rJ)r©rÐr†rYr›r¹r¸rÎrÆr§r‡rBr…r}r¬rÉrÔÚ_prohibited_namedtuple_fieldsr°Ú_special_namedtuple_fieldsÚ_fieldsrðr¾Ú__set_name__Ú BaseExceptionrrrFZadd_noteÚRuntimeErrorr@)r¥r›r,rŒrr{Ú default_namesÚ field_namer¦Z class_getitemÚkeyrñÚset_namerIr÷ryr«r|r£æ shÿ 2ý ÿ z_NamedTupleMeta.__new__N)rr€rr£ryryryr|r¨å sr¨cCst|kst‚tfSr„)rrÐr©rryryr|Ú_namedtuple_mro_entries-sr·cKsÎ|tkr:|rd}d}q€d}d|›d|›d}d|d}nF|d krt|rPtd ƒ‚q€d}d|›d|›d}d|d}n|r€tdƒ‚|tks|d kr²tj|j|d dtdd| ¡}t||tƒd}t f|_ |S)aoTyped version of namedtuple. Usage:: class Employee(NamedTuple): name: str id: int This is equivalent to:: Employee = collections.namedtuple('Employee', ['name', 'id']) The resulting class has an extra __annotations__ attribute, giving a dict that maps field names to types. (The field names are also in the _fields attribute, which is part of the namedtuple API.) An alternative equivalent functional syntax is also accepted:: Employee = NamedTuple('Employee', [('name', str), ('id', int)]) z3Creating NamedTuple classes using keyword argumentszq{name} is deprecated and will be disallowed in Python {remove}. Use the class-based or functional syntax instead.r’r”z = NamedTuple(z, [])`z¡{name} is deprecated and will be disallowed in Python {remove}. To create a NamedTuple class with 0 fields using the functional syntax, pass an empty list, e.g. r1Nz\Cannot pass `None` as the 'fields' parameter and also specify fields using keyword argumentsr“zIEither list of fields or keywords can be provided to NamedTuple, not bothz3.15)r³rÏrr•rv)r—r›r˜r™Úformatršr‡r§rrrt)r›rœr§rrŸržÚntryryr|r1sHÿûûÿûûýc@seZdZdZdS)ra§Base class for classes that implement the buffer protocol. The buffer protocol allows Python objects to expose a low-level memory buffer interface. Before Python 3.12, it is not possible to implement the buffer protocol in pure Python code, or even to check whether a class implements the buffer protocol. In Python 3.12 and higher, the ``__buffer__`` method allows access to the buffer protocol from Python code, and the ``collections.abc.Buffer`` ABC allows checking whether a class implements the buffer protocol. To indicate support for the buffer protocol in earlier versions, inherit from this ABC, either in a stub file or at runtime, or use ABC registration. This ABC provides no methods, because there is no Python-accessible methods shared by pre-3.12 buffer classes. It is useful primarily for static checks. N)rr€rr¨ryryryr|rwscCsBz|j d|j¡WStk r<tdt|ƒj›ƒd‚YnXdS)aReturn the class's "original" bases prior to modification by `__mro_entries__`. Examples:: from typing import TypeVar, Generic from typing_extensions import NamedTuple, TypedDict T = TypeVar("T") class Foo(Generic[T]): ... class Bar(Foo[int], float): ... class Baz(list[str]): ... Eggs = NamedTuple("Eggs", [("a", int), ("b", str)]) Spam = TypedDict("Spam", {"a": int, "b": str}) assert get_original_bases(Bar) == (Foo[int], float) assert get_original_bases(Baz) == (list[str],) assert get_original_bases(Eggs) == (NamedTuple,) assert get_original_bases(Spam) == (TypedDict,) assert get_original_bases(int) == (object,) rtz"Expected an instance of type, not N)rrrBr°r›r¾rr;ryryr|r3•sÿþc@sReZdZdZdd„Zdd„Zdd„Zdd „Zd d„Ze j dkrNd d„Zdd„ZdS)r:aLNewType creates simple unique types with almost zero runtime overhead. NewType(name, tp) is considered a subtype of tp by static type checkers. At runtime, NewType(name, tp) returns a dummy callable that simply returns its argument. Usage:: UserId = NewType('UserId', int) def name_by_id(user_id: UserId) -> str: ... UserId('user') # Fails type check name_by_id(42) # Fails type check name_by_id(UserId(42)) # OK num = UserId(5) + 1 # type: int cCs|Sr„ryržryryr|rXÅszNewType.__call__cCs@||_d|kr| d¡d}||_||_tƒ}|dkr<||_dS)Nr1rr)rÚ rpartitionrÚ __supertype__rr€)r{r³ryr×ryryr|rËÈszNewType.__init__cs|j‰G‡fdd„dƒ}|fS)NcseZdZ‡fdd„ZdS)z&NewType.__mro_entries__..Dummycs&|j}td|›d|›dˆ›dƒ‚dS)NzGCannot subclass an instance of NewType. 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This provides a backport of the new `type` statement in Python 3.12: type ListOrSet[T] = list[T] | set[T] is equivalent to: T = TypeVar("T") ListOrSet = TypeAliasType("ListOrSet", list[T] | set[T], type_params=(T,)) The name ListOrSet can then be used as an alias for the type it refers to. The type_params argument should contain all the type parameters used in the value of the type alias. If the alias is not generic, this argument is omitted. Static type checkers should only support type aliases declared using TypeAliasType that follow these rules: - The first argument (the name) must be a string literal. - The TypeAliasType instance must be immediately assigned to a variable of the same name. (For example, 'X = TypeAliasType("Y", int)' is invalid, as is 'X, Y = TypeAliasType("X", int), TypeAliasType("Y", int)'). ry)Útype_paramsr²c Csàt|tƒstdƒ‚t|tƒs$tdƒ‚||_||_d}g}|D]z}t|tttfƒrXt |ƒrftd|›ƒ‚t |dtƒtk }|rŽ|sŽtd|›dƒ‚|r–d}t|tƒr¬| |¡q<| |¡qrâr€rÅrÆzattribute 'z3' of 'typing.TypeAliasType' objects is not writablez0'typing.TypeAliasType' object has no attribute 'ú')r°rÈryryr|rÇus ÿ ÿz$TypeAliasType._raise_attribute_errorr9cCs|jSr„rrzryryr|r}ƒszTypeAliasType.__repr__r˜rcsT|dkrdS|dkrdSt|tƒr>ˆdkr>‡‡fdd„|DƒSt |dˆj›d¡S)N.rcsg|]}ˆ |ˆd¡‘qS)r´©Ú_check_single_paramr ©Ú recursionr{ryr|r…sÿz5TypeAliasType._check_single_param..ú Subscripting ú requires a type.)r…rÍr†rór)r{rrÎryrÍr|rÌ‡sÿÿz!TypeAliasType._check_single_paramcs6tjdkr t‡fdd„|DƒƒSt‡fdd„|DƒƒS)Nr˜c3s|]}ˆ |¡VqdSr„rË©rõr/rzryr|rø—sÿz2TypeAliasType._check_parameters..c3s$|]}t |dˆj›d¡VqdS)rÏrÐN)r†rórrÑrzryr|rø›s ýÿ)rrFr¹rÐryrzr|Ú_check_parameters•s þýzTypeAliasType._check_parameterscCsd|jstdƒ‚t|tƒs|f}tjdkr4t ||¡St|ƒ}| |¡}t ||ƒ}|j|kr`||_|S)Nz+Only generic type aliases are subscriptabler‚)rÆr›r…r¹rrFrˆr‰r—rÒrÁrâ)r{rºZ type_varsräryryr|rÒ¡s zTypeAliasType.__getitem__cCs|jSr„rrzryryr|rh²szTypeAliasType.__reduce__cOstdƒ‚dS)NzEtype 'typing_extensions.TypeAliasType' is not an acceptable base typerr¤ryryr|r@µsÿzTypeAliasType.__init_subclass__cCstdƒ‚dS)NzType alias is not callablerrzryryr|rX¼szTypeAliasType.__call__r‚cCst|ƒstStj||fSr„©r¿rÀr†ro)r{rZryryr|r?ÀszTypeAliasType.__or__cCst|ƒstStj||fSr„rÓ)r{rYryryr|r@ÇszTypeAliasType.__ror__)r)rr€rr¨rÓrËrîrïrHrÉrÇr}rrFrÌrÒrÒrhr@rXr?r@r¢ryryr r|rC,s % )ryr:cCs(t|tƒo&t|ddƒo&|tk o&|tjk S)aZReturn True if the given type is a Protocol. Example:: >>> from typing_extensions import Protocol, is_protocol >>> class P(Protocol): ... def a(self) -> str: ... ... b: int >>> is_protocol(P) True >>> is_protocol(int) False r"F)r…r¾rÕr=r†r¢ryryr|r7Ñs ÿþücCs6t|ƒst|›dƒ‚t|dƒr*t|jƒStt|ƒƒS)aReturn the set of members defined in a Protocol. Example:: >>> from typing_extensions import Protocol, get_protocol_members >>> class P(Protocol): ... def a(self) -> str: ... ... b: int >>> get_protocol_members(P) frozenset({'a', 'b'}) Raise a TypeError for arguments that are not Protocols. z is not a Protocolr )r7r›r…rÅr rr¢ryryr|r4æs c@sLeZdZdZeddœdd„Zedœdd„Zedœd d „Ze e dœdd „ZdS)r+afDefine the documentation of a type annotation using ``Annotated``, to be used in class attributes, function and method parameters, return values, and variables. The value should be a positional-only string literal to allow static tools like editors and documentation generators to use it. This complements docstrings. 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Returns a dict. get_annotations() returns a new dict every time it's called; calling it twice on the same object will return two different but equivalent dicts. This is a backport of `inspect.get_annotations`, which has been in the standard library since Python 3.10. See the standard library documentation for more: https://docs.python.org/3/library/inspect.html#inspect.get_annotations This backport adds the *format* argument introduced by PEP 649. The three formats supported are: * VALUE: the annotations are returned as-is. This is the default and it is compatible with the behavior on previous Python versions. * FORWARDREF: return annotations as-is if possible, but replace any undefined names with ForwardRef objects. The implementation proposed by PEP 649 relies on language changes that cannot be backported; the typing-extensions implementation simply returns the same result as VALUE. * STRING: return annotations as strings, in a format close to the original source. Again, this behavior cannot be replicated directly in a backport. As an approximation, typing-extensions retrieves the annotations under VALUE semantics and then stringifies them. 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This is similar to calling the ForwardRef.evaluate() method, but unlike that method, evaluate_forward_ref() also: * Recursively evaluates forward references nested within the type hint. * Rejects certain objects that are not valid type hints. * Replaces type hints that evaluate to None with types.NoneType. * Supports the *FORWARDREF* and *STRING* formats. *forward_ref* must be an instance of ForwardRef. *owner*, if given, should be the object that holds the annotations that the forward reference derived from, such as a module, class object, or function. It is used to infer the namespaces to use for looking up names. *globals* and *locals* can also be explicitly given to provide the global and local namespaces. *type_params* is a tuple of type parameters that are in scope when evaluating the forward reference. 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