a ZgS@sdZddlmZddlZddlmZddZddZd2d 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!_qb[!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<z tdjddvrtdWnttfy6Yn0dS)N__name__)abc functoolstypingz4TypedDict does not support instance and class checksF)sys _getframe f_globals TypeErrorAttributeError ValueError)clsotherr]/var/www/html/cobodadashboardai.evdpl.com/venv/lib/python3.9/site-packages/mypy_extensions.py _check_failss  rcOst|i|SN)dict)rargskwargsrrr _dict_newsrc Kst|dd}|dur|}n |r&tdt||d}ztdjdd|d<WnttfyfYn0t |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)rZ _typename_fieldsrrnsrrr_typeddict_news r$cs&eZdZdfdd ZeZZZS)r!Tcs|dkr tnt|d<tt|||tf|}|di}dfdd|D}|D]}||j diqV||_ t |ds||_ |S)N TypedDict__new__rz?TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a typecsi|]\}}|t|qSrr).0ntpmsgrr =z*_TypedDictMeta.__new__..r) r$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+ cCs|S)zA normal positional argumentrtyper3rrrArgksr@cCs|S)z*A positional argument with a default valuerr>rrr DefaultArgpsrAcCs|S)zA keyword-only argumentrr>rrrNamedArgusrBcCs|S)z,A keyword-only argument with a default valuerr>rrrDefaultNamedArgzsrCcCs|S)z*A *args-style variadic positional argumentrr?rrrVarArgsrEcCs|S)z*A **kwargs-style variadic keyword argumentrrDrrrKwArgsrFc@s eZdZdS)NoReturnN)rrr:rrrrrGr-rGcCs|Srr)rrrrtraitsrHcOsddS)NcSs|Srr)xrrrr-zmypyc_attr..r)attrsZkwattrsrrr mypyc_attrsrLc@seZdZddZddZdS)_FlexibleAliasClsAppliedcCs ||_dSrval)selfrOrrr__init__sz!_FlexibleAliasClsApplied.__init__cCs|jSrrNrPrrrr __getitem__sz$_FlexibleAliasClsApplied.__getitem__N)rrr:rQrSrrrrrMsrMc@seZdZddZdS)_FlexibleAliasClscCs t|dS)N)rMrRrrrrSsz_FlexibleAliasCls.__getitem__N)rrr:rSrrrrrTsrTc@seZdZddZdS)_NativeIntMetacCs t|tSr) isinstanceint)rinstrrrr;sz _NativeIntMeta.__instancecheck__N)rrr:r;rrrrrVsrVc@seZdZdefddZdS)i64rcCs|turt||St|Sr _sentinelrXrrIr7rrrr&s z i64.__new__Nrrr:r\r&rrrrrZsrZ) metaclassc@seZdZdefddZdS)i32rcCs|turt||St|Srr[r]rrrr&s z i32.__new__Nr^rrrrr`sr`c@seZdZdefddZdS)i16rcCs|turt||St|Srr[r]rrrr&s z i16.__new__Nr^rrrrrasrac@seZdZdefddZdS)u8rcCs|turt||St|Srr[r]rrrr&s z u8.__new__Nr^rrrrrbsrba/A native fixed-width integer type when used with mypyc. In code not compiled with mypyc, behaves like the 'int' type in these runtime contexts: * {name}(x[, base=n]) converts a number or string to 'int' * isinstance(x, {name}) is the same as isinstance(x, int) )r3)N)#__doc__r rr rrrr$r?r!rr%rrr@rArBrCrErFrGrHrLrMrTZ FlexibleAliasrVobjectr\rZr`rarbZ _int_typeformatrrrrsF    !