o GgS@s~dZddlmZddlZddlmZddZddZd2d d ZGd d d eZ e d e fiZ e e _ de _edfddZedfddZedfddZedfddZefddZefddZGdddZddZdd ZGd!d"d"ZGd#d$d$ZeZGd%d&d&eZeZGd'd(d(ed)ZGd*d+d+ed)ZGd,d-d-ed)ZGd.d/d/ed)Z eeee fD] Z!d0j"e!j d1e!_q[!dS)3zDefines experimental extensions to the standard "typing" module that are supported by the mypy typechecker. Example usage: from mypy_extensions import TypedDict )AnyN _type_checkc Cs<ztdjddvrtdWdSttfyYdSw)N__name__)abc functoolstypingz4TypedDict does not support instance and class checksF)sys _getframe f_globals TypeErrorAttributeError ValueError)clsotherrR/var/www/html/AyurvedaChatbot/venv/lib/python3.10/site-packages/mypy_extensions.py _check_failssrcOst|i|SN)dict)rargskwargsrrr _dict_newsrc Kst|dd}|dur |}n|rtdt||d}ztdjdd|d<Wn ttfy3Ynwt |d |S) NtotalTz@TypedDict takes either a dict or keyword arguments, but not both)__annotations__ __total__rr__main__ __module__r) popr rr r r getrr_TypedDictMeta)r _typename_fieldsrrnsrrr_typeddict_news  r%cs&eZdZdfdd ZeZZZS)r!Tcs|dkrtnt|d<tt|||tf|}|di}dfdd|D}|D] }||j diq+||_ t |dsC||_ |S)N TypedDict__new__rz?TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a typecsi|] \}}|t|qSrr).0ntpmsgrr =sz*_TypedDictMeta.__new__..r) r%rsuperr!r'rr itemsupdate__dict__rhasattrr)rnamebasesr$rtp_dictannsbase __class__r+rr'1s  z_TypedDictMeta.__new__)T)rr __qualname__r'r__instancecheck____subclasscheck__ __classcell__rrr8rr!0sr!r&aA simple typed name space. At runtime it is equivalent to a plain dict. TypedDict creates a dictionary type that expects all of its instances to have a certain set of keys, with each key associated with a value of a consistent type. This expectation is not checked at runtime but is only enforced by typecheckers. Usage:: Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str}) a: Point2D = {'x': 1, 'y': 2, 'label': 'good'} # OK b: Point2D = {'z': 3, 'label': 'bad'} # Fails type check assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first') The type info could be accessed via Point2D.__annotations__. TypedDict supports two additional equivalent forms:: Point2D = TypedDict('Point2D', x=int, y=int, label=str) class Point2D(TypedDict): x: int y: int label: str The latter syntax is only supported in Python 3.6+, while two other syntax forms work for 3.2+ cC|S)zA normal positional argumentrtyper3rrrArgkrAcCr>)z*A positional argument with a default valuerr?rrr DefaultArgprBrCcCr>)zA keyword-only argumentrr?rrrNamedArgurBrDcCr>)z,A keyword-only argument with a default valuerr?rrrDefaultNamedArgzrBrEcCr>)z*A *args-style variadic positional argumentrr@rrrVarArgrBrGcCr>)z*A **kwargs-style variadic keyword argumentrrFrrrKwArgrBrHc@s eZdZdS)NoReturnN)rrr:rrrrrIs rIcCr>rr)rrrrtraitsrJcOsddS)NcSr>rr)xrrrszmypyc_attr..r)attrskwattrsrrr mypyc_attrsrOc@seZdZddZddZdS)_FlexibleAliasClsAppliedcCs ||_dSrval)selfrRrrr__init__ z!_FlexibleAliasClsApplied.__init__cCs|jSrrQrSrrrr __getitem__sz$_FlexibleAliasClsApplied.__getitem__N)rrr:rTrWrrrrrPs rPc@eZdZddZdS)_FlexibleAliasClscCs t|dS)N)rPrVrrrrWs z_FlexibleAliasCls.__getitem__N)rrr:rWrrrrrY rYc@rX)_NativeIntMetacCs t|tSr) isinstanceint)rinstrrrr;rUz _NativeIntMeta.__instancecheck__N)rrr:r;rrrrr\r[r\c@eZdZdefddZdS)i64rcC|tur t||St|Sr _sentinelr^rrKr7rrrr' z i64.__new__Nrrr:rdr'rrrrrara) metaclassc@r`)i32rcCrbrrcrerrrr'rfz i32.__new__Nrgrrrrrjrhrjc@r`)i16rcCrbrrcrerrrr'rfz i16.__new__Nrgrrrrrkrhrkc@r`)u8rcCrbrrcrerrrr'rfz u8.__new__Nrgrrrrrlrhrla/A native fixed-width integer type when used with mypyc. In code not compiled with mypyc, behaves like the 'int' type in these runtime contexts: * {name}(x[, base=n]) converts a number or string to 'int' * isinstance(x, {name}) is the same as isinstance(x, int) )r3r)#__doc__r rr rrrr%r@r!rr&rrrArCrDrErGrHrIrJrOrPrY FlexibleAliasr\objectrdrarjrkrl _int_typeformatrrrrsH   !