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Linux 4gvps.4gvps.com 3.10.0-1127.18.2.vz7.163.46 #1 SMP Fri Nov 20 21:47:55 MSK 2020 x86_64
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/opt/alt/python311/lib64/python3.11/__pycache__/
38.135.39.45

 
[ NAME ] [ SIZE ] [ PERM ] [ DATE ] [ ACT ]
+FILE +DIR
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  asynchat.cpython-311.pyc 11.621 KB -rw-r--r-- 2024-04-17 18:12 R E G D
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  bdb.cpython-311.pyc 37.78 KB -rw-r--r-- 2024-04-17 18:12 R E G D
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"""""""""rrEc"eZdZdZfdZxZS)raWSpecial type indicating an unconstrained type. - Any is compatible with every type. - Any assumed to have all methods. - All values assumed to be instances of Any. Note that all the above statements are true from the point of view of static type checkers. At runtime, Any should not be used with instance checks. cv|turtdt|S)NzAny cannot be instantiated)rrrG__new__)rrkwargsrHs rrOz Any.__new__s1 #::899 9wws###r)rrrrrOrKrLs@rrr sB  $$$$$$$$$rr) metaclassc&t|d)aSpecial type indicating functions that never return. Example:: from typing import NoReturn def stop() -> NoReturn: raise Exception('no way') NoReturn can also be used as a bottom type, a type that has no values. Starting in Python 3.11, the Never type should be used for this concept instead. Type checkers should treat the two equivalently.  is not subscriptablerr?s rreres t222 3 33rc&t|d)adThe 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 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 rSrr?s rrara3s, t222 3 33rc&t|d)asUsed to spell the type of "self" in classes. Example:: from typing import Self class Foo: def return_self(self) -> Self: ... return self This is especially useful for: - classmethods that are used as alternative constructors - annotating an `__enter__` method which returns self rSrr?s rrmrmLs" t222 3 33rc&t|d)a Represents an arbitrary literal string. Example:: from typing import LiteralString def run_query(sql: LiteralString) -> None: ... def caller(arbitrary_string: str, literal_string: LiteralString) -> None: run_query("SELECT * FROM students") # OK run_query(literal_string) # OK run_query("SELECT * FROM " + literal_string) # OK run_query(arbitrary_string) # type checker error run_query( # type checker error f"SELECT * FROM students WHERE name = {arbitrary_string}" ) Only string literals and other LiteralStrings are compatible with LiteralString. This provides a tool to help prevent security issues such as SQL injection. rSrr?s rr`r``s0 t222 3 33rcJt||d}t||fS)a>Special type construct to mark class variables. An annotation wrapped in ClassVar indicates that a given attribute is intended to be used as a class variable and should not be set on instances of that class. Usage:: class Starship: stats: ClassVar[dict[str, int]] = {} # class variable damage: int = 10 # instance variable ClassVar accepts only types and cannot be further subscribed. Note that ClassVar is not a class itself, and should not be used with isinstance() or issubclass().  accepts only single type.rrr rrs rrr{.& zd#F#F#F G GD w ' ''rcJt||d}t||fS)aSpecial typing construct to indicate final names to type checkers. A final name cannot be re-assigned or overridden in a subclass. For example:: MAX_SIZE: Final = 9000 MAX_SIZE += 1 # Error reported by type checker class Connection: TIMEOUT: Final[int] = 10 class FastConnector(Connection): TIMEOUT = 1 # Error reported by type checker There is no runtime checking of these properties. rXrYrZs rrrr[rcx|dkrtdt|ts|f}dtfd|D}t|}t |dkr|dSt |dkr#t d|vrt ||d St ||S) aUnion type; Union[X, Y] means either X or Y. On Python 3.10 and higher, the | operator can also be used to denote unions; X | Y means the same thing to the type checker as Union[X, Y]. 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Details: - The arguments must be types and there must be at least one. - None as an argument is a special case and is replaced by type(None). - Unions of unions are flattened, e.g.:: assert Union[Union[int, str], float] == Union[int, str, float] - Unions of a single argument vanish, e.g.:: assert Union[int] == int # The constructor actually returns int - Redundant arguments are skipped, e.g.:: assert Union[int, str, int] == Union[int, str] - When comparing unions, the argument order is ignored, e.g.:: assert Union[int, str] == Union[str, int] - You cannot subclass or instantiate a union. - You can use Optional[X] as a shorthand for Union[X, None]. r z Cannot take a Union of no types.z)Union[arg, ...]: each arg must be a type.c38K|]}t|VdSr rrrrs rrzUnion..s-??q{1c**??????rrrNrname)rryrrrrxrr rrs @rr"r"s>R:;;; j% ( (# ] 5C????J?????J%j11J :!!} :!T j 8 8!$ DDDD dJ / //rc`t||d}t|tdfS)z,Optional[X] is equivalent to Union[X, None].z requires a single type.N)rr"rx)r rr{s rrrs1 jT"C"C"C D DC d4jj !!rc t|} tdttt |D}n#t $rYnwxYwt ||S)aSpecial typing form to define literal types (a.k.a. value types). 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For example:: Callable[Concatenate[int, P], int] See PEP 612 for detailed information. r z&Cannot take a Concatenate of no types.r.zMThe last parameter to Concatenate should be a ParamSpec variable or ellipsis.z/Concatenate[arg, ...]: each arg must be a type.c38K|]}t|VdSr r_r`s rrzConcatenate..#s-AAAK3''AAAAAArNT_paramspec_tvars)rryrrrrds @rrr sR@AAA j% ( (# ] rNc ! !Z 2 %J%J !:;; ; ;CRAAAACRCAAAR:b>RRJ #D*59 ; ; ;;rcJt||d}t||fS)aSpecial typing construct for marking user-defined type guard functions. ``TypeGuard`` can be 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). rXrYrZs rrqrq(s/\ zd#F#F#F G GD w ' ''rcHeZdZdZdZddddZdZd Zd Zd Z d Z d Z dS)rz-Internal wrapper to hold a forward reference.)__forward_arg____forward_code____forward_evaluated____forward_value____forward_is_argument____forward_is_class____forward_module__TNF)rwcXt|tstd||drd|d}n|} t |dd}n #t $rt d|wxYw||_||_d|_d|_ ||_ ||_ ||_ dS) Nz*Forward reference must be a string -- got *(z,)[0]zevalz/Forward reference must be an expression -- got F) ryrzr startswithcompile SyntaxErrorrprqrrrsrtrurv)r r{rrvrwarg_to_compilecodes rrzForwardRef.__init__bs#s## RPPPQQ Q >>#   !+^^^NN N Y>:v>>DD Y Y YWPSWWXX X Y # $%*"!%'2$$,!"(s AA6c|j|vr|S|jr||ur||ix}}n ||}n||}|j4ttj|jdd|}tt|j ||d|j |j }t|||||jhz|_ d|_|j S)N__dict__z*Forward references must evaluate to types.)rrtT)rprrrvrsysmodulesgetrrzrqrtrurrs)r rrrtype_s rrzForwardRef._evaluatezs  ? 2 2K) .WH-D-DGO%''77!""&2"KOOD$;TBBJPX T*Hg>>< 8$($= E &0x/T=Q List[T]: '''Return a list containing n references to x.''' return [x]*n def longest(x: A, y: A) -> A: '''Return the longest of two strings.''' return x if len(x) >= len(y) else y The latter example's signature is essentially the overloading of (str, str) -> str and (bytes, bytes) -> bytes. 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Then we can parameterize that class with an arbitrary number of type arguments: C[int] # Fine C[int, str] # Also fine C[()] # Even this is fine For more details, see PEP 646. 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The type unpack operator takes the child types from some container type, such as `tuple[int, str]` or a `TypeVarTuple`, and 'pulls them out'. For example:: # For some generic class `Foo`: Foo[Unpack[tuple[int, str]]] # Equivalent to Foo[int, str] Ts = TypeVarTuple('Ts') # Specifies that `Bar` is generic in an arbitrary number of types. # (Think of `Ts` as a tuple of an arbitrary number of individual # `TypeVar`s, which the `Unpack` is 'pulling out' directly into the # `Generic[]`.) class Bar(Generic[Unpack[Ts]]): ... Bar[int] # Valid Bar[int, str] # Also valid From Python 3.11, this can also be done using the `*` operator:: Foo[*tuple[int, str]] class Bar(Generic[*Ts]): ... Note that there is only some runtime checking of this operator. Not everything the runtime allows may be accepted by static type checkers. For more information, see PEP 646. rX)rr)r_UnpackGenericAliasrZs rrrrrs1> zd#F#F#F G GD d$ 9 9 99rcPeZdZdZfdZedZedZxZS)rkc<dt|jdzS)Nrxr)rrr s rr'z_UnpackGenericAlias.__repr__sT$-*++++rcX|jr|St|Sr )rrGr@rKs rr@z_UnpackGenericAlias.__getitem__s+  3 Kww""4(((rcP|j\}t|tr|jSdSr )rryrrs rrz2_UnpackGenericAlias.__typing_unpacked_tuple_args__s,} c= ) ) < trcBt|jdtSNr)ryrr!r s rrz7_UnpackGenericAlias.__typing_is_unpacked_typevartuple__s$-*L999r) rrrr'r@rrrrKrLs@rrkrks},,, ))))) X::X:::::rrkc@eZdZdZdZdZedZfdZxZ S)raCAbstract base class for generic types. A generic type is typically declared by inheriting from this class parameterized with one or more type variables. For example, a generic mapping type might be defined as:: class Mapping(Generic[KT, VT]): def __getitem__(self, key: KT) -> VT: ... # Etc. This class can then be used as follows:: def lookup_name(mapping: Mapping[KT, VT], key: KT, default: VT) -> VT: try: return mapping[key] except KeyError: return default r Fc:t|ts|f}td|D}|ttfvr|st d|jdt d|Dst d|jdtt|t|krt d|jdn|j D]!}t|dd }| |||}"t||t|j g}t|j |D]E\}}t|tr||0||Ft|}t#||d S) aParameterizes a generic class. At least, parameterizing a generic class is the *main* thing this method does. For example, for some generic class `Foo`, this is called when we do `Foo[int]` - there, with `cls=Foo` and `params=int`. 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(ellipsis).N)rrrrr rrrr{s2222rr)rryrr_is_runtime_protocol __final__) __abstractmethods____annotations__rrrrrOr__subclasshook__rrw_MutableMapping__markercxt}|jddD]}|jdvr t|di}t |jt |zD]5}|ds|tvr| |6|S)zCollect protocol members from a protocol class objects. This includes names actually defined in the class dictionary, as well as names that appear in annotations. Special names (above) are skipped. Nr)rrr_abc_) r__mro__rrrrkeysr{EXCLUDED_ATTRIBUTESadd)rattrsr annotationsrs r_get_protocol_attrsrs EEE CRC    =3 3 3 d$5r:: ++--..k6F6F6H6H1I1II  D??7++ .s7WWdxT40011WWWWWWr)rvrrs`r_is_callable_members_onlyrs0 WWWW>QRU>V>VWWW W WWrc,t|}|jrtd|jturdS|jD]4}|jdt}|tur ||_n5tj|_|j|g|Ri|dS)Nz Protocols cannot be instantiatedr) rxrrr_no_init_or_replace_initrrrobject)r rrPrrinits rrrs t**C <:;;; |333 ''}  -EFF / / /CL E 0  CL'''''''''rra__main__c tj|dzjd|S#tt f$rYdSwxYw)Nrar)r _getframe f_globalsrrr)depthdefaults rrrsU}UQY''155j'JJJ J 'tts/2AAc$t|dvS)zAllow instance and class checks for special stdlib modules. The abc and functools modules indiscriminately call isinstance() and issubclass() on the whole MRO of a user class, which may contain protocols. >Nrr)rrs r_allow_reckless_class_checksrs 5>>7 77r) rr4r)r*r6r'r2r%r8r;AbstractContextManagerAbstractAsyncContextManager)zcollections.abc contextlibceZdZfdZxZS) _ProtocolMetactddr0tddstdstdtddrtrt jrdSjr+tfdtDrdSt S) NrFrrrLInstance and class checks can only be used with @runtime_checkable protocolsTc3K|]E}t|o0tt|d pt|duVFdSr )rrr)rrrinstances rrz2_ProtocolMeta.__instancecheck__..sy:: 8T**:!'#tT":":;;;9Xt,,D8::::::r) rrrrrrHrrvrrGr9)rrrHs``rr9z_ProtocolMeta.__instancecheck__s C / / =3U;; =-1555 = <== =ne44 )#.. 8-s33 4   :::::!4C 8 8 :::::  tww((222r)rrrr9rKrLs@rrrs8333333333rrc.eZdZdZdZdZdZfdZxZS)ra_Base class for protocol classes. Protocol classes are defined as:: class Proto(Protocol): def meth(self) -> int: ... Such classes are primarily used with static type checkers that recognize structural subtyping (static duck-typing). For example:: class C: def meth(self) -> int: return 0 def func(x: Proto) -> int: return x.meth() func(C()) # Passes static type check See PEP 544 for details. Protocol classes decorated with @typing.runtime_checkable act as simple-minded runtime protocols that check only the presence of given attributes, ignoring their type signatures. 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At its core 'Annotated[t, dec1, dec2, ...]' is an alias for the type 't' with extra annotations. The alias behaves like a normal typing alias. Instantiating is the same as instantiating the underlying type; binding it to types is also the same. The metadata itself is stored in a '__metadata__' attribute as a tuple. ct|tr|j|z}|j}t ||||_dSr )ryr __metadata__rrGr)r rmetadatarHs rrz_AnnotatedAlias.__init__csR fo . . '*X5H&F ((($rc<|d}t||jSrq)rr)r rnew_types rrz_AnnotatedAlias.copy_withjs!9x):;;;rcdt|jdd|jDS)Nztyping.Annotated[{}, {}]r.c34K|]}t|VdSr )rrs rrz+_AnnotatedAlias.__repr__..rs(99!d1gg999999r)formatrrr3rr s rr'z_AnnotatedAlias.__repr__osH)00 t ' ' II99t'8999 9 9   rcHtjt|jf|jzffSr )rrrrrr s rr*z_AnnotatedAlias.__reduce__us) )D,=="   rczt|tstS|j|jko|j|jkSr )ryrrrrr0s rrz_AnnotatedAlias.__eq__zs?%11 "! !5#33<%);; =rc8t|j|jfSr )rrrr s rrz_AnnotatedAlias.__hash__sT_d&78999rcR|dvrdSt|S)N>rrr)rGr)r rrHs rrz_AnnotatedAlias.__getattr__s, / / /;ww""4(((r) rrrrrrr'r*rrrrKrLs@rrrXs%%%%%<<<       === :::)))))))))rrcReZdZdZdZdZdZeddZdZ 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. Details: - It's an error to call `Annotated` with less than two arguments. - Access the metadata via the ``__metadata__`` attribute:: assert Annotated[int, '$'].__metadata__ == ('$',) - Nested Annotated types are flattened:: assert Annotated[Annotated[T, Ann1, Ann2], Ann3] == Annotated[T, Ann1, Ann2, Ann3] - Instantiating an annotated type is equivalent to instantiating the underlying type:: assert Annotated[C, Ann1](5) == C(5) - Annotated can be used as a generic type alias:: Optimized: TypeAlias = Annotated[T, runtime.Optimize()] assert Optimized[int] == Annotated[int, runtime.Optimize()] OptimizedList: TypeAlias = Annotated[list[T], runtime.Optimize()] assert OptimizedList[int] == Annotated[list[int], runtime.Optimize()] - Annotated cannot be used with an unpacked TypeVarTuple:: Variadic: TypeAlias = Annotated[*Ts, Ann1] # NOT valid This would be equivalent to:: Annotated[T1, T2, T3, ..., Ann1] where T1, T2 etc. are TypeVars, which would be invalid, because only one type should be passed to Annotated. r c td)Nz&Type Annotated cannot be instantiated.rrrrPs rrOzAnnotated.__new__s@AAArcNt|ts|f}|j|g|RSr )ryr_class_getitem_inner)rrs rrwzAnnotated.__class_getitem__s6&%(( YF's'5f5555rTrct|dkrtdt|drtdd}t|d|d}t |dd}t ||S) NrzUAnnotated[...] should be used with at least two arguments (a type and an annotation).rz?Annotated[...] should not be used with an unpacked TypeVarTuplez$Annotated[t, ...]: t must be a type.Trsra)rrrrrr)rrrrrs rrzAnnotated._class_getitem_inners v;;??+,, , %VAY / / 5455 54VAYFFF$$vx000rcPtd|j)NzCannot subclass {}.Annotated)rrrrs rrzAnnotated.__init_subclass__s' * 1 1#. A A   rN) rrrrrrOrwrrrr rrrrs++ZIBBB666 YT 1 1 1     rrcpt|tr|jstd|zd|_|S)a:Mark a protocol class as a runtime protocol. Such protocol can be used with isinstance() and issubclass(). Raise TypeError if applied to a non-protocol class. This allows a simple-minded structural check very similar to one trick ponies in collections.abc such as Iterable. For example:: @runtime_checkable class Closable(Protocol): def close(self): ... assert isinstance(open('/some/file'), Closable) Warning: this will check only the presence of the required methods, not their type signatures! zB@runtime_checkable can be only applied to protocol classes, got %rT)rrrrrrs rrlrlsL& c7 # #)3+;)"$'()) )#C Jrc|S)zCast a value to a type. This returns the value unchanged. To the type checker this signals that the return value has the designated type, but at runtime we intentionally don't check anything (we want this to be as fast as possible). r )rrs rrWrWs  Jrc|S)aAsk a static type checker to confirm that the value is of the given type. At runtime this does nothing: it returns the first argument unchanged with no checks or side effects, no matter the actual type of the argument. When a static 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 r )rrs rrUrUs  Jrct|ddriSt|tr=i}t|jD]}|5tt j|jddi}n|}|j di}t|tj ri}|tt|n|}||||}}|D]S\} } | td} t| trt!| dd} t#| ||} | || <T|r|nd|DS|at|tjr|j }n:|} t'| d r| j} t'| d t| d i}||}n||}t|dd}|9t|t*riSt-d |t|}|D]j\} } | td} t| tr+t!| t|tj d} t#| |||| <k|r|nd |DS) a Return type hints for an object. This is often the same as obj.__annotations__, but it handles forward references encoded as string literals and recursively replaces all 'Annotated[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. For classes, the search order is globals first then locals. - 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. __no_type_check__NrrFT)rrwc4i|]\}}|t|Sr _strip_annotationsrrrs r z"get_type_hints..K s',`,`,`$!QQ0B10E0E,`,`,`r __wrapped__ __globals__z1{!r} is not a module, class, method, or function.c4i|]\}}|t|Sr rrs rrz"get_type_hints..o s'(\(\(\da,>q,A,A(\(\(\r)rryrxreversedrrrrrrrGetSetDescriptorTypervarsitemsrzrr ModuleTyperr_allowed_typesrr) rrrinclude_extrashintsr base_globalsann base_localsrcvaluensobjs rr^r^ s>s'.. #taS[)) $ $D&s{t'M'Mz[]^^ ' -##$5r::C#u9:: .5o$tDzz***7K8#3-8k "yy{{ $ $ e= JJEeS))P&u%$OOOE"5, DD#d  $'`uu,`,`RWR]R]R_R_,`,`,`` c5+ , , 9|HHE%// *)%// *umR88H ?G  C*D 1 1E } c> * * 8I++16#;;88 8 KKE{{}} ; ; e =JJE eS ! !  *30@ A AAE !'::d " \55(\(\ekkmm(\(\(\\rct|trt|jSt |dr/|jt t fvrt|jdSt|tr@td|jD}||jkr|S| |St|tr@td|jD}||jkr|St|j|St|tj rJtd|jD}||jkr|Stjt j|S|S)z(Strip the annotations from a given type.rrc34K|]}t|VdSr rrs rrz%_strip_annotations..y +HH033HHHHHHrc34K|]}t|VdSr rrs rrz%_strip_annotations..~ rrc34K|]}t|VdSr rrs rrz%_strip_annotations.. rr)ryrrrrrjrfrrrrr rrrrrr)r stripped_argss rrrr sa!_%%0!!,///q,1ALX{4K$K$K!!*Q-000!]##*HHQZHHHHH AJ & &H{{=)))!\""9HHQZHHHHH AJ & &HAL-888!U_%%=HHQZHHHHH AJ & &H m<<< Hrct|trtSt|ttt t fr|jS|turtSt|tj r tj SdS)aGet the unsubscripted version of a type. This supports generic types, Callable, Tuple, Union, Literal, Final, ClassVar, Annotated, and others. Return None for unsupported types. Examples:: >>> P = ParamSpec('P') >>> assert get_origin(Literal[42]) is Literal >>> assert get_origin(int) is None >>> assert get_origin(ClassVar[int]) is ClassVar >>> assert get_origin(Generic) is Generic >>> assert get_origin(Generic[T]) is Generic >>> assert get_origin(Union[T, int]) is Union >>> assert get_origin(List[Tuple[T, T]][int]) is list >>> assert get_origin(P.args) is P N) ryrrrr rhrirrrrtps rr\r\ sv$"o&&"(,$o788} W}}"eo&& 4rc:t|tr|jf|jzSt|tt fr8|j}t||rt|dd|df}|St|tj r|jSdS)aGet type arguments with all substitutions performed. For unions, basic simplifications used by Union constructor are performed. Examples:: >>> T = TypeVar('T') >>> assert get_args(Dict[str, int]) == (str, int) >>> assert get_args(int) == () >>> assert get_args(Union[int, Union[T, int], str][int]) == (int, str) >>> assert get_args(Union[int, Tuple[T, int]][str]) == (int, Tuple[str, int]) >>> assert get_args(Callable[[], T][int]) == ([], int) Nrr ) ryrrrrr rrrrr)rrs rr[r[ s"o&&2 "/11"}l344k *2s 3 3 ,CRC>>3r7+C "eo&&{ 2rc,t|tS)a+Check if an annotation is a TypedDict class. For example:: >>> from typing import TypedDict >>> class Film(TypedDict): ... title: str ... year: int ... >>> is_typeddict(Film) True >>> is_typeddict(dict) False )ryrrs rr_r_ s b. ) ))rdr{ct|}t|tkr|dtdz}td|)aStatically assert 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. Nrz*Expected code to be unreachable, but got: )rr_ASSERT_NEVER_REPR_MAX_LENGTHAssertionError)r{rs rrVrV sN& IIE 5zz1114445= MeMM N NNrct|trt|D]}t||}t |dr4|j|jd|jkst|dd|jkrWt|tj rd|_ t|tj r d|j _ t|trt| d|_ n#t$rYnwxYw|S)aIDecorator to indicate that annotations are not type hints. The argument must be a class or function; if it is a class, it applies recursively to all methods and classes defined in that class (but not to methods defined in its superclasses or subclasses). This mutates the function(s) or class(es) in place. rrrNT)ryrxrrrrrrrrr MethodType__func__rcr)r{keyrs rrcrc s#t#s88 # #C#s##CC00 ##*:'K'KS\'K'KKK3 d33s~EE #u122 -(,%#u/00 615 .#t$$ #c""" $      Js)C11 C>=C>cFtjfd}|S)zDecorator to give another decorator the @no_type_check effect. This wraps the decorator with something that wraps the decorated function in @no_type_check. c6|i|}t|}|Sr )rc)rrrrs rwrapped_decoratorz2no_type_check_decorator..wrapped_decorator s)y$'$''T"" r)rr)rrs` rrdrd s; _Y  rc td)z*Helper for @overload to raise when called.zYou should not call an overloaded function. A series of @overload-decorated functions outside a stub module should always be followed by an implementation that is not @overload-ed.)NotImplementedError)rrs r_overload_dummyr$ s  9 : ::rct|d|} |t|j|j|jj<n#t $rYnwxYwtS)aDecorator for overloaded functions/methods. In a stub file, place two or more stub definitions for the same function in a row, each decorated with @overload. For example:: @overload def utf8(value: None) -> None: ... @overload def utf8(value: bytes) -> bytes: ... @overload def utf8(value: str) -> bytes: ... In a non-stub file (i.e. a regular .py file), do the same but follow it with an implementation. The implementation should *not* be decorated with @overload:: @overload def utf8(value: None) -> None: ... @overload def utf8(value: bytes) -> bytes: ... @overload def utf8(value: str) -> bytes: ... def utf8(value): ... # implementation goes here The overloads for a function can be retrieved at runtime using the get_overloads() function. r)r_overload_registryrr__code__co_firstlinenorr)rfs rrgrg1 sd@ j$''A VZ1<(89RSS       s*> A  A ct|d|}|jtvrgSt|j}|j|vrgSt ||jS)z6Return all defined overloads for *func* as a sequence.r)rrrrrvalues)rr mod_dicts rr]r]Z sg j$''A|--- !!,/H~X%% (//11 2 22rc8tdS)z$Clear all overloads in the registry.N)rclearr rrrXrXf srcF d|_n#ttf$rYnwxYw|S)aDecorator to indicate final methods and final classes. Use this decorator to indicate to type checkers that the decorated method cannot be overridden, and decorated class cannot be subclassed. For example:: class Base: @final def done(self) -> None: ... class Sub(Base): def done(self) -> None: # Error reported by type checker ... @final class Leaf: ... class Other(Leaf): # Error reported by type checker ... There is no runtime checking of these properties. The decorator attempts to set the ``__final__`` attribute to ``True`` on the decorated object to allow runtime introspection. T)rrr)r s rrZrZk s>4  I &      Hs  TKTVTT_co)rV_coVT_coT_contra)rCT_co)rrrTraDeprecated alias to collections.abc.Callable. Callable[[int], str] signifies a function that takes a single parameter of type int and returns a str. The subscription syntax must always be used with exactly two values: the argument list and the return type. The argument list must be a list of types, a ParamSpec, Concatenate or ellipsis. The return type must be a single type. There is no syntax to indicate optional or keyword arguments; such function types are rarely used as callback types. r#rbrrra]Deprecated alias to builtins.tuple. Tuple[X, Y] is the cross-product type of X and Y. Example: Tuple[T1, T2] is a tuple of two elements corresponding to type variables T1 and T2. Tuple[int, float, str] is a tuple of an int, a float and a string. To specify a variable-length tuple of homogeneous type, use Tuple[T, ...]. rHrErJrKr&r:rFrGraDeprecated alias to builtins.type. builtins.type or typing.Type can be used to annotate class objects. For example, suppose we have the following classes:: class User: ... # Abstract base for User classes class BasicUser(User): ... class ProUser(User): ... class TeamUser(User): ... And a function that takes a class argument that's a subclass of User and returns an instance of the corresponding class:: U = TypeVar('U', bound=User) def new_user(user_class: Type[U]) -> U: user = user_class() # (Here we could write the user object to a database) return user joe = new_user(BasicUser) At this point the type checker knows that joe has type BasicUser. c2eZdZdZdZedefdZdS)rAz(An ABC with one abstract method __int__.r rcdSr r r s r__int__zSupportsInt.__int__  rN)rrrrrrintrr rrrArA sD22I    ^   rrAc2eZdZdZdZedefdZdS)r?z*An ABC with one abstract method __float__.r rcdSr r r s r __float__zSupportsFloat.__float__ rrN)rrrrrrfloatrr rrr?r? D44I 5   ^   rr?c2eZdZdZdZedefdZdS)r>z,An ABC with one abstract method __complex__.r rcdSr r r s r __complex__zSupportsComplex.__complex__ rrN)rrrrrrcomplexr$r rrr>r> sD66I W   ^   rr>c2eZdZdZdZedefdZdS)r=z*An ABC with one abstract method __bytes__.r rcdSr r r s r __bytes__zSupportsBytes.__bytes__% rrN)rrrrrrbytesr(r rrr=r= r!rr=c2eZdZdZdZedefdZdS)r@z*An ABC with one abstract method __index__.r rcdSr r r s r __index__zSupportsIndex.__index__0 rrN)rrrrrrrr,r rrr@r@* sD44I 3   ^   rr@c2eZdZdZdZedefdZdS)r<zMAn ABC with one abstract method __abs__ that is covariant in its return type.r rcdSr r r s r__abs__zSupportsAbs.__abs__; rrN)rrrrrrrr/r rrr<r<5 sDWWI    ^   rr<c8eZdZdZdZeddedefdZdS) rBzOAn ABC with one abstract method __round__ that is covariant in its return type.r rndigitsrcdSr r )r r1s r __round__zSupportsRound.__round__F rrNr) rrrrrrrrr3r rrrBrB@ sPYYI   T   ^   rrBr cd|D}d|D}tj||||}|x|_|j_|S)Ncg|]\}}|Sr r rnrs rr z!_make_nmtuple..L s " " "DAqa " " "rc >i|]\}}|t|d|dS)zfield z annotation must be a typer_r7s rrz!_make_nmtuple..M sD   A AEEEEFF   rdefaultsrv)r namedtuplerrO)rcrrvr;fieldsnm_tpls r _make_nmtupler?K sm " "E " " "F     E  #D&-5fFFFF>CCFV^; Mr> _makerO_asdict_fields_sourcer_replacer__getnewargs___field_defaults>rrrceZdZdZdS)NamedTupleMetac |D]#}|tur|turtd$td|D}di}g}|D]^}|vr|||r@td|dt |dkrdndd d |_t||j fd |Dd  }||_ t|vr%tj j } t| |_ D]F} | tvrtd| z| t vr | |jvrt%|| | Gt|vr||S)Nz3can only inherit from a NamedTuple type and Genericc3:K|]}|turtn|VdSr ) _NamedTupler)rrs rrz)NamedTupleMeta.__new__..d s0OOt{22eeOOOOOOrrzNon-default namedtuple field z cannot follow default fieldrasr r.c g|] }| Sr r )rr8nss rr z*NamedTupleMeta.__new__..p s(F(F(F1A(F(F(Frrr:z&Cannot overwrite NamedTuple attribute )rKrrrrrrr3r?rrrwr classmethod _prohibitedr_specialrBrr) rtypenamer!rOrr default_names field_namer> class_getitemrs ` rrOzNamedTupleMeta.__new__^ s K KD;&&4w+>+>IKKKOOOOOOO("--  ? ?JR$$Z0000 ?!> !>!>*-m*<*!>$(99]#;#;!>!>??? ? x(F(F(F(F (F(F(F&(&6888! e  #5>M'2='A'AF $ . .Ck!!$%MPS%STTTH$$FN)B)BRW--- e    $ $ & & & rN)rrrrOr rrrHrH] s#     rrHc ||}n|rtdt||tS)a?Typed 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)]) NzIEither list of fields or keywords can be provided to NamedTuple, not bothrv)rrr?r)rSr=rPs rrLrL sU(~ DCDD D 6')) < < <rc$eZdZddZeZdZeZdS)rTc4|D]0}t|tur|turtd1t d|Dr tf}nd}tt|g|t R|i}|di}dfd|D}t} t} |D]}| |j di|j dt} | | z} | | z} |j dt} | | z} | | z} | ||D]\} }t|}|tur(t|}|r|d }t|}|turd }n|t urd }n|}|r+| | | | | | | | |_t)| _t)| _t/d s|_S) a7Create a new typed dict class object. This method is called when TypedDict is subclassed, or when TypedDict is instantiated. This way TypedDict supports all three syntax forms described in its docstring. Subclasses and instances of TypedDict return actual dictionaries. zHcannot inherit from both a TypedDict type and a non-TypedDict base classc3@K|]}t|tVdSr )rrrs rrz)_TypedDictMeta.__new__.. s,55!z!W%%555555rr rz?TypedDict('Name', {f0: t0, f1: t1, ...}); each t must be a typecFi|]\}}|t|jS)rX)rr)rr8rrtp_dicts rrz*_TypedDictMeta.__new__.. sA   2 {2s7+=>>>   r__required_keys____optional_keys__rTF __total__)rxrrrrrOrrrrupdaterr\rr[rjrfrdiscardrr^rarbrrc)rrcr!rOtotalr generic_baserown_annotations required_keys optional_keys base_required base_optionalannotation_keyannotation_typeannotation_originannotation_args is_requiredrr`s @@rrOz_TypedDictMeta.__new__ s B BDDzz//D4G4G!ABBB 55u555 5 5 #:LLL,,~t5J|5JT5J5JBOO &&!2B77O     (..00      + +D   t}001BBGG H H H M--.A355IIM ] *M ] *M M--.A355IIM ] *M ] *MM?+++/>/D/D/F/F 6 6 +NO *? ; ;  I--"*?";";"D&5a&8O(2?(C(C% H,," "k11# #  6!!.111%%n5555!!.111%%n5555 #.$-m$<$<!$-m$<$<!w ,, & %G rc td)Nz4TypedDict does not support instance and class checksr)rr1s rr=z _TypedDictMeta.__subclasscheck__ sNOOOrN)T)rrrrOrr-r=r9r rrrr sJIIIIVHPPP*rrrfc ||}n|rtd|rtjdtddt |i}t }|||d<t |d|| S) a*A 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 >>> Point2D(x=1, y=2, label='first') == dict(x=1, y=2, label='first') True 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. Nz@TypedDict takes either a dict or keyword arguments, but not bothzThe 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.r stacklevelrrr rs)rwarningswarnDeprecationWarningrrr)rSr=rfrPrOrvs rrMrM s^~ )()) )    7       T&\\ *B YYF !< (B% 8 8 88rrMctfSr ) _TypedDictrZs rr|@ s:-rcTt||jd}t||fS)aSpecial typing construct to mark a TypedDict key as required. This is mainly useful for total=False TypedDicts. 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.  accepts only a single type.rrrrZs rrjrjC s0( zdj#N#N#N O OD w ' ''rcTt||jd}t||fS)a7Special typing construct to mark a TypedDict key 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~rrZs rrfrf[ s0 zdj#N#N#N O OD w ' ''rc:eZdZdZeZdZdZdZdZ dZ dZ dS) rba+NewType 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 c||_d|vr|dd}||_||_t }|dkr ||_dSdS)Nrrr)r rpartitionr __supertype__rr)r rcrrs rrzNewType.__init__ s_  $;;??3''+D )) h  %DOOO  rc6|jGfdd}|fS)NceZdZfdZdS)&NewType.__mro_entries__..Dummyc D|j}td|d|dd)NzGCannot subclass an instance of NewType. Perhaps you were looking for: `z = NewType(r.z)`)rr)r subclass_namesuperclass_names rrz8NewType.__mro_entries__..Dummy.__init_subclass__ sU # Y%YY2?YYETYYYrN)rrrr)rsrDummyr s.       rrr)r r!rrs @rr"zNewType.__mro_entries__ sG-          xrc$|jd|jS)Nr)rrr s rr'zNewType.__repr__ s/77D$5777rc|jSr )rr s rr*zNewType.__reduce__ s   rc t||fSr r/r0s rr2zNewType.__or__ r3rc t||fSr r/r0s rr5zNewType.__ror__ r6rN) rrrrr r-rr"r'r*r2r5r rrrbrbn s*H&&&   888!!!""""""""rrbceZdZdZdZeedefdZeedefdZ ed$dZ eede fdZ ede fd Zed$d Zede fd Zed%d e defdZede fdZed%de defdZed%de deefdZed&de de de fdZede fdZede fdZed'de de fdZede fdZedede fdZedeeddfd Zed(d"Zed$d#ZdS))rPaGeneric base class for TextIO and BinaryIO. This is an abstract, generic version of the return of open(). NOTE: This does not distinguish between the different possible classes (text vs. binary, read vs. write vs. read/write, append-only, unbuffered). The TextIO and BinaryIO subclasses below capture the distinctions between text vs. binary, which is pervasive in the interface; however we currently do not offer a way to track the other distinctions in the type system. r rcdSr r r s rmodezIO.mode  rcdSr r r s rrczIO.name rrNcdSr r r s rclosezIO.close rrcdSr r r s rclosedz IO.closed rrcdSr r r s rfilenoz IO.fileno rrcdSr r r s rflushzIO.flush rrcdSr r r s risattyz IO.isatty rrrr8cdSr r )r r8s rreadzIO.read rrcdSr r r s rreadablez IO.readable rrlimitcdSr r )r rs rreadlinez IO.readline rrhintcdSr r )r rs r readlinesz IO.readlines rrroffsetwhencecdSr r )r rrs rseekzIO.seek rrcdSr r r s rseekablez IO.seekable rrcdSr r r s rtellzIO.tell rrsizecdSr r )r rs rtruncatez IO.truncate rrcdSr r r s rwritablez IO.writable rrrLcdSr r r rLs rwritezIO.write rrlinescdSr r )r rs r writelinesz IO.writelines rr IO[AnyStr]cdSr r r s r __enter__z IO.__enter__ rrcdSr r )r rxr tracebacks r__exit__z IO.__exit__ rr)rN)rr4r )rr) rrrrrrrrzrrcrrrrrrrrTrrrrHrrrrrrrrrrr rrrPrP s  I  c   ^X  c   ^X    ^     ^X     ^    ^     ^   c 6   ^  $   ^   c 6   ^   c 4<   ^   3  C   ^  $   ^  c   ^   S C   ^  $   ^  v #   ^  V     ^    ^    ^   rrPc^eZdZdZdZedeeefde fdZ eddZ dS) rOz5Typed version of the return of open() in binary mode.r rLrcdSr r rs rrzBinaryIO.write rrcdSr r r s rrzBinaryIO.__enter__ rrN)rrO) rrrrrrr"r) bytearrayrrrr rrrOrO su??I uUI-. 3   ^    ^   rrOceZdZdZdZeedefdZeede fdZ eede e fdZ eede fdZeedefdZed d Zd S) rSz3Typed version of the return of open() in text mode.r rcdSr r r s rbufferz TextIO.buffer* rrcdSr r r s rencodingzTextIO.encoding/ rrcdSr r r s rerrorsz TextIO.errors4 rrcdSr r r s rline_bufferingzTextIO.line_buffering9 rrcdSr r r s rnewlineszTextIO.newlines> rrcdSr r r s rrzTextIO.__enter__C rrN)rrS)rrrrrrrrOrrzrrrrrrrrr rrrSrS% s6==I     ^X  #   ^X      ^X     ^X  #   ^X    ^   rrSceZdZfdZxZS)_DeprecatedTypec|dvr5||jvr,tj|jd|jdtdt |S)N>rrrz5 is deprecated, import directly from typing instead. z will be removed in Python 3.12.rru)rrwrxrryrG__getattribute__)rrcrHs rrz _DeprecatedType.__getattribute__I sy < < <AUAU M<""(+ """#     ww''---r)rrrrrKrLs@rrrH s8 . . . . . . . . .rrc&eZdZdZgdZeZeZeZdS)ioz)Wrapper namespace for IO generic classes.)rPrSrON)rrrr__all__rPrSrOr rrrrU s.33***G B FHHHrrz.ioc"eZdZdZddgZeZeZdS)rez&Wrapper namespace for re type aliases.rRrQN)rrrrrrRrQr rrrrd s(00'"GG EEErrz.rercftdt|jtj|S)aAsk a static type checker to reveal the inferred type of an expression. 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 the argument unchanged. zRuntime type is )file)printrxrrstderrrs rrkrkp s0 3T#YY/ 3 3#*EEEE Jr) eq_default order_defaultkw_only_defaultfield_specifiersrrrr.rPc "fd}|S)aDecorator to mark an object as providing dataclass-like behaviour. The decorator can be applied to a function, class, or metaclass. Example usage with a decorator function:: T = TypeVar("T") @dataclass_transform() def create_model(cls: type[T]) -> type[T]: ... return cls @create_model class CustomerModel: id: int name: str On a base class:: @dataclass_transform() class ModelBase: ... class CustomerModel(ModelBase): id: int name: str On a metaclass:: @dataclass_transform() class ModelMeta(type): ... class ModelBase(metaclass=ModelMeta): ... class CustomerModel(ModelBase): id: int name: str The ``CustomerModel`` classes defined above will be treated by type checkers similarly to classes created with ``@dataclasses.dataclass``. For example, type checkers will assume these classes have ``__init__`` methods that accept ``id`` and ``name``. 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()``. - Arbitrary other keyword arguments are accepted in order to allow for possible future extensions. At runtime, this decorator records its arguments in the ``__dataclass_transform__`` attribute on the decorated object. It has no other runtime effect. See PEP 681 for more details. c"d|_|S)N)rrrrrP)__dataclass_transform__) cls_or_fnrrrrPrs rrz&dataclass_transform..decorator s)$*. 0 - - )rr )rrrrrPrs````` rrYrY s=L rr r)rar)r)NNF)r )rrrrrrcollections.abcrrrr stdlib_rerrrwrrrr _typingr ImportErrorrr|rrrrrrrrrrrrrrr^rrr rrrBrxrErrerarmr`rrr"rrrprrqrrrrrrr r!rhrirrrrr9rHrNrVrrhrrrrrkrr_TYPING_INTERNALS_SPECIAL_NAMESrrrrrrrrrrrrlrWrUrBuiltinFunctionTyperrrr^rr\r[r_rrVrcrdrpartialrrrgr]rXrZrrrrrrrrr)rzrT_aliasr'r4r7r6r5r)r*r;r2r%r8rrJr#r0r,r.r1r/r$rrrrHdequerErrKr-r+r(r3rr&rr:rFrGrIrDrCrNr9rrAr?r>r=r@r<rBr?rQrRrHrLrOrKr[r"rrMr{rjrfrbrnrorPrOrSrrrrrRrQrkrYr rrrsh*('''''''###### ^^^^^^^^^^^^ m m m h5PUB@@@ 0*B < < <16/////    A A A   U.6?Y[[    DFFFFFFFF        ((/(/(/(/(/6 > > f[_0!44 6+/*A . . F;?,a 0 0 VKO. 2 2  91CSTTTfZCQMbccc vdAE///f[,amDDD f[,a00 &$a ( ( 6+& * * F;?,a 0 0  6:: vdAE/// 4     (        H        h        H        H        (4.        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