ZDiJ&SrSSKJrJr SSKrSSKJr SrSrS,Sjr"SS \ 5r \ "S \ 405r \ \ lS \ l\S4S jr\S4S jr\S4Sjr\S4Sjr\4Sjr\4Sjr"SS5rSrSr"SS5r"SS5r\"5r"SS\ 5r\"5r"SS\S9r"SS \S9r"S!S"\S9r "S#S$\S9r!\\\ \!4H!r"S%RG\"RS&9\"lM# C"S'\$S(\\$\4S)\4S*jr%S'\$S)\4S+jr&g)-zDefines experimental extensions to the standard "typing" module that are supported by the mypy typechecker. Example usage: from mypy_extensions import TypedDict )AnyDictN) _type_checkc[R"S5RSS;a [S5eg![[ 4a gf=f)N__name__)abc functoolstypingz4TypedDict does not support instance and class checksF)sys _getframe f_globals TypeErrorAttributeError ValueError)clsothers W/var/www/html/Aiprofessor/professorTrac/lib/python3.13/site-packages/mypy_extensions.py _check_failsrsW ==  % %j 19W WRS S X  J '   s26A A c[U0UD6$N)dict)rargskwargss r _dict_newrs    c URSS5nUcUnOU(a [S5e[U5US.n[R"S5R R SS5US'[US USS 9$![[4a Nf=f) NtotalTz@TypedDict takes either a dict or keyword arguments, but not both)__annotations__ __total__rr__main__ __module__)_from_functional_call) poprrr r rgetrr_TypedDictMeta)r _typename_fieldsrrnss r_typeddict_newr+s JJw %E () )"'] ?B ==+5599*jQ< )R4 HH J '   s3A99B  B c4^\rSrSrSU4Sjjr\=rrSrU=r $)r'0c >S[5;a"SSKnURS[U(aSOSS9 US:Xa[O[ US'[ [U]#X[4U5nURS05nS n UR5V V s0sHupU [X5_M nn n UH.n URU RRS055 M0 Xl[!US 5(dXGlU$s sn n f) N TypedDictrzmypy_extensions.TypedDict is deprecated, and will be removed in a future version. Use typing.TypedDict or typing_extensions.TypedDict instead. stacklevel__new__rz?TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a typer )globalswarningswarnDeprecationWarningr+rsuperr'r4rr&itemsrupdate__dict__rhasattrr )rnamebasesr*rr$r6tp_dictannsmsgntpbase __class__s rr4_TypedDictMeta.__new__1s ') #  MMS#!6AA  +/+*=99 4SLvv',O59ZZ\B\EA;r''\BD KK ))*;R@ A"&w ,, %  CsC6r#)TF) rr" __qualname____firstlineno__r4r__instancecheck____subclasscheck____static_attributes__ __classcell__)rFs@rr'r'0s!F-98)rr'r/aA simple typed name space. At runtime it is equivalent to a plain dict. TypedDict creates a dictionary type that expects all of its instances to have a certain set of keys, with each key associated with a value of a consistent type. This expectation is not checked at runtime but is only enforced by typecheckers. Usage:: Point2D = TypedDict('Point2D', {'x': int, 'y': int, 'label': str}) a: Point2D = {'x': 1, 'y': 2, 'label': 'good'} # OK b: Point2D = {'z': 3, 'label': 'bad'} # Fails type check assert Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first') The type info could be accessed via Point2D.__annotations__. TypedDict supports two additional equivalent forms:: Point2D = TypedDict('Point2D', x=int, y=int, label=str) class Point2D(TypedDict): x: int y: int label: str The latter syntax is only supported in Python 3.6+, while two other syntax forms work for 3.2+ cU$)zA normal positional argumentr#typer>s rArgrQz KrcU$)z*A positional argument with a default valuer#rOs r DefaultArgrTrRrcU$)zA keyword-only argumentr#rOs rNamedArgrVrRrcU$)z,A keyword-only argument with a default valuer#rOs rDefaultNamedArgrXrRrcU$)z*A *args-style variadic positional argumentr#rPs rVarArgr[rRrcU$)z*A **kwargs-style variadic keyword argumentr#rZs rKwArgr]rRrc\rSrSrSrg)_DEPRECATED_NoReturnr#N)rr"rHrIrLr#rrr_r_sDrr_cU$rr#)rs rtraitrbs JrcS$)NcU$rr#)xs rmypyc_attr..sQrr#)attrskwattrss r mypyc_attrrjs rc \rSrSrSrSrSrg)_FlexibleAliasClsAppliedcXlgrval)selfrps r__init__!_FlexibleAliasClsApplied.__init__srcUR$rrorqrs r __getitem__$_FlexibleAliasClsApplied.__getitem__s xxrroN)rr"rHrIrrrvrLr#rrrlrls rrlc\rSrSrSrSrg)_FlexibleAliasClsc[US5$)N)rlrus rrv_FlexibleAliasCls.__getitem__s'R11rr#N)rr"rHrIrvrLr#rrryrys2rryc\rSrSrSrSrg)_NativeIntMetac"[U[5$r) isinstanceint)rinsts rrJ _NativeIntMeta.__instancecheck__s$$$rr#N)rr"rHrIrJrLr#rrrrs%rrc"\rSrSrS\4SjrSrg)i64rc@U[La [X5$[U5$r _sentinelrrrerEs rr4 i64.__new__ y q< 1v rr#Nrr"rHrIrr4rLr#rrrr yrr) metaclassc"\rSrSrS\4SjrSrg)i32rc@U[La [X5$[U5$rrrs rr4 i32.__new__rrr#Nrr#rrrrrrrc"\rSrSrS\4SjrSrg)i16rc@U[La [X5$[U5$rrrs rr4 i16.__new__rrr#Nrr#rrrrrrrc"\rSrSrS\4SjrSrg)u8rc@U[La [X5$[U5$rrrs rr4 u8.__new__rrr#Nrr#rrrrrrra/A native fixed-width integer type when used with mypyc. In code not compiled with mypyc, behaves like the 'int' type in these runtime contexts: * {name}(x[, base=n]) converts a number or string to 'int' * isinstance(x, {name}) is the same as isinstance(x, int) r>r>module_globalsreturncURSU35=ncS[SUS3n[U5eX!U'US;a SUSUSUS 3nO S US35eS SKnUR U[ S S 9 U$)N _DEPRECATED_zmodule 'z' has no attribute ''>NoReturnz'mypy_extensions.zF' is deprecated, and will be removed in a future version. Use 'typing.z' or 'typing_extensions.z ' insteadz-Add deprecation message for 'mypy_extensions.rr0r2)r&rrr6r7r8)r>rrprBr6s r_warn_deprecationrs!!L"788A "6tfA>S!!4 |v&& 8i I NEdV1MMu MM#)aM8 Jrc&[U[5S9$)N)r)rr5rs r __getattr__rs T') <rs !I$$9T$9N ; 4   Bt d D 4  !  22 "# %T% H NNN>c3"I  F **F +#Cc3hC$=c=c=r