&V.j> DdZddlmZddlZddlZddlZddlmZm Z m Z m Z m Z m Z mZddlmZddlmZmZmZddlmZmZmZmZdd lmZdd lmZdd lmZdd l m!Z!dd l"m#Z#m$Z$m%Z%er ddl&m'Z'ddl(m)Z)dZ*e dZ+ejXdk\reejZe#e%feddddddddddd d%dZ.eejZe#e%feddddddddddd d&dZ.n|eejZe#e%feddddddddd d'dZ.eejZe#e%feddddddddd d(dZ.eejZe#e%f d)ddddddddddd d*dZ.ee/Z0dejXcxkrdkrnnd+d Z1e1ejd_3ddd!dd" d,d#Z4d-d$Z5y).z7Provide an enhanced dataclass that performs validation.) annotationsN) TYPE_CHECKINGAnyCallableGenericNoReturnTypeVaroverload)warn)Literal TypeGuarddataclass_transform)_config _decorators_namespace_utils _typing_extra) _dataclasses)getattr_migration) ConfigDict)PydanticUserError)Field FieldInfo PrivateAttr)PydanticDataclass)MappingNamespace) dataclassrebuild_dataclass_T )field_specifiersFT. initrepreqorder unsafe_hashfrozenconfigvalidate_on_initkw_onlyslotsc yNr$s VC:\xampp\htdocs\tradingbinance\backend\.venv\Lib\site-packages\pydantic/dataclasses.pyrrs c yr0r1) _clsr%r&r'r(r)r*r+r,r-r.s r2rr/s#&r3r%r&r'r(r)r*r+r,cyr0r1r6s r2rrBs r3cyr0r1) r5r%r&r'r(r)r*r+r,s r2rrQs#&r3c  |dusJd|dusJdtjdk\r| | d ni dd d  fd } || S| |S) aUsage docs: https://docs.pydantic.dev/2.10/concepts/dataclasses/ A decorator used to create a Pydantic-enhanced dataclass, similar to the standard Python `dataclass`, but with added validation. This function should be used similarly to `dataclasses.dataclass`. Args: _cls: The target `dataclass`. init: Included for signature compatibility with `dataclasses.dataclass`, and is passed through to `dataclasses.dataclass` when appropriate. If specified, must be set to `False`, as pydantic inserts its own `__init__` function. repr: A boolean indicating whether to include the field in the `__repr__` output. eq: Determines if a `__eq__` method should be generated for the class. order: Determines if comparison magic methods should be generated, such as `__lt__`, but not `__eq__`. unsafe_hash: Determines if a `__hash__` method should be included in the class, as in `dataclasses.dataclass`. frozen: Determines if the generated class should be a 'frozen' `dataclass`, which does not allow its attributes to be modified after it has been initialized. If not set, the value from the provided `config` argument will be used (and will default to `False` otherwise). config: The Pydantic config to use for the `dataclass`. validate_on_init: A deprecated parameter included for backwards compatibility; in V2, all Pydantic dataclasses are validated on init. kw_only: Determines if `__init__` method parameters must be specified by keyword only. Defaults to `False`. slots: Determines if the generated class should be a 'slots' `dataclass`, which does not allow the addition of new attributes after instantiation. Returns: A decorator that accepts a class as its argument and returns a Pydantic `dataclass`. Raises: AssertionError: Raised if `init` is not `False` or `validate_on_init` is `False`. Fz7pydantic.dataclasses.dataclass only supports init=Falsez-validate_on_init=False is no longer supportedr )r-r.c |jD]}t|dg}|D]}t||d}t|ts!d|i}tj dk\r|j rd|d<|jdur|j|d<t||tjdi||jjdi|_ |||j|<y) aMake sure that stdlib `dataclasses` understands `Field` kwargs like `kw_only` To do that, we simply change `x: int = pydantic.Field(..., kw_only=True)` into `x: int = dataclasses.field(default=pydantic.Field(..., kw_only=True), kw_only=True)` __annotations__Ndefaultr Tr-r&r1)__mro__getattr isinstancersys version_infor-r&setattr dataclassesfield__dict__getr;)clsannotation_clsr field_name field_value field_argss r2make_pydantic_fields_compatiblez2dataclass..make_pydantic_fields_compatibles"kkN".2CRHK) %c:t< !+y9%.{#; ##w.;3F3F,0Jy)##4/)4)9)9Jv&Z):):)HZ)HI<<##$56>*,C'2=j2I##J/-* *r3c ddlm}||rtd|jdd|}t d|j D}|s. ,t |d r td |jd td   n t|d d}tj|}tjj|}|j}t!j"|rNd}|f}t%|t&rt&|j(} || fz}t+j,|j|}| / } |j.r1td|jdtd n|j.xsd} t1j2|fd | d}||_||_|j6|_|j8|_d|_t!j<||d|S)zCreate a Pydantic dataclass from a regular dataclass. 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ZCMM ZZ!f&8WSJ_=` mnqnznzm{|\]$  !' 2fEZ\`8a  ..{; //55c: {{ 5 5c : L FE#w'&s'9'9: ///#,,6C',  G$$deheqeqdtumm( %++4uG##   #    '1#" %00'44$)! 00nSXY r3)rG type[Any]returnNone)rGrzr{type[PydanticDataclass])r@rA)r5r%r&r'r(r)r*r+r,r-r.ryrxrLs `````` @@r2rrasu\ 5=SSS= 5 (Y*YY ( 7"$u5!JF[[z $| G1A$1GGr3)r!)r! ctd)a9This function does nothing but raise an error that is as similar as possible to what you'd get if you were to try calling `InitVar[int]()` without this monkeypatch. The whole purpose is just to ensure typing._type_check does not error if the type hint evaluates to `InitVar[]`. z 'InitVar' object is not callable) TypeError)argsrxs r2 _call_initvarr s :;;r3rV)forcerY_parent_namespace_depth_types_namespacecB|s |jryd|jvr t|d||}n#|dkDrtj|dxsi}ni}t j |}tj|tj|jd||d S) axTry to rebuild the pydantic-core schema for the dataclass. 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