
    bMhA                    l   d Z ddlmZ ddlZddlZddlZddlmZm	Z	m
Z
mZmZmZmZmZ ddlmZ ddlmZmZ ddlmZmZmZmZ dd	lmZ dd
lmZ ddlmZ ddl m!Z! ddl"m#Z#m$Z$m%Z% erddl&m'Z' ddl(m)Z) dZ* ed          Z+ej,        dk    re eej-        e#e%f          eddddddddddd
dHd(                        Z. eej-        e#e%f          eddddddddddd
dId,                        Z.n` eej-        e#e%f          eddddddddd-dJd.                        Z. eej-        e#e%f          eddddddddd-dKd/                        Z. eej-        e#e%f          	 dLddddddddddd
dMd2            Z.dNd4Z/ ee0          Z1ej,        d5k     rdOd:Z2e2ej3        _4        ddd;dd<dPdCZ5dQdGZ6dS )Rz7Provide an enhanced dataclass that performs validation.    )annotationsN)TYPE_CHECKINGAnyCallableGenericLiteralNoReturnTypeVaroverload)warn)	TypeGuarddataclass_transform   )_config_decorators_namespace_utils_typing_extra)_dataclasses)getattr_migration)
ConfigDict)PydanticUserError)Field	FieldInfoPrivateAttr)PydanticDataclass)MappingNamespace)	dataclassrebuild_dataclass_T   
   )field_specifiersFT.
initrepreqorderunsafe_hashfrozenconfigvalidate_on_initkw_onlyslotsr%   Literal[False]r&   boolr'   r(   r)   r*   r+    ConfigDict | type[object] | Noner,   bool | Noner-   r.   return-Callable[[type[_T]], type[PydanticDataclass]]c        
            d S N r$   s
             T/var/www/html/test/jupyter/venv/lib/python3.11/site-packages/pydantic/dataclasses.pyr   r      s	     	    _clstype[_T]type[PydanticDataclass]c       
            d S r6   r7   )r:   r%   r&   r'   r(   r)   r*   r+   r,   r-   r.   s              r8   r   r   /   s	     #&#r9   r%   r&   r'   r(   r)   r*   r+   r,   c                    d S r6   r7   r>   s           r8   r   r   B   s	     	r9   c                   d S r6   r7   )	r:   r%   r&   r'   r(   r)   r*   r+   r,   s	            r8   r   r   Q   s	     #&#r9   type[_T] | NoneGCallable[[type[_T]], type[PydanticDataclass]] | type[PydanticDataclass]c       
   	         |du s
J d            |dus
J d            t           j        dk    r|	|
dni dd
dfd}| |n
 ||           S )a  !!! abstract "Usage Documentation"
        [`dataclasses`](../concepts/dataclasses.md)

    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.   cls	type[Any]r3   Nonec                   | j         D ]}t          |di           }|D ]}t          | |d          }t          |t                    s)d|i}t          j        dk    r|j        rd|d<   |j        dur
|j        |d<   t          | |t          j
        di |           | j                            d          i | _        ||         | j        |<   dS )	a  Make 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__Ndefaultr    Tr-   r&   r7   )__mro__getattr
isinstancer   sysversion_infor-   r&   setattrdataclassesfield__dict__getrH   )rD   annotation_clsr   
field_namefield_value
field_argss         r8   make_pydantic_fields_compatiblez2dataclass.<locals>.make_pydantic_fields_compatible   s    "k 	J 	JN*1.BSUW*X*XK) J J
%c:t<<!+y99  %.{#;
 #w..;3F.,0Jy) #4//)4)9Jv&Z):)H)HZ)H)HIII <##$566>*,C'2=j2I#J//-J	J 	Jr9   r<   c           
        ddl m}  ||           rt          d| j         dd          | }t	          d | j        D                       }|s20t          | d	          r t          d
| j         dt          d           nt          | d	d          }t          j        |          }t          j                            |           }| j        }t!          j        |           rLd}| f}t%          | t&                    rt&          | j                 }	||	fz   }t+          j        | j        |          }  |            *}
|j        r t          d| j        dt          d           n	|j        pd}
t1          j        | fd|
d} d| _        || _        || _        |j        | _        |j        | _        t=          t>                    | _         d| _!        t!          j"        | |d           | S )zCreate a Pydantic dataclass from a regular dataclass.

        Args:
            cls: The class to create the Pydantic dataclass from.

        Returns:
            A Pydantic dataclass.
        r   )is_model_classz(Cannot create a Pydantic dataclass from z" as it is already a Pydantic modelzdataclass-on-model)codec              3  >   K   | ]}t          j        |          V  d S r6   )rP   is_dataclass).0bases     r8   	<genexpr>z6dataclass.<locals>.create_dataclass.<locals>.<genexpr>   s-       Z ZD!9$!?!? Z Z Z Z Z Zr9   N__pydantic_config__z[`config` is set via both the `dataclass` decorator and `__pydantic_config__` for dataclass zK. The `config` specification from `dataclass` decorator will take priority.   )category
stacklevelzN`frozen` is set via both the `dataclass` decorator and `config` for dataclass zW.This is not recommended. The `frozen` specification on `dataclass` will take priority.FT)r%   r&   r'   r(   r)   r*   )raise_errors)#_internal._utilsrZ   r   __name__any	__bases__hasattrr   UserWarningrK   r   ConfigWrapperr   DecoratorInfosbuild__doc___pydantic_dataclassesis_builtin_dataclass
issubclassr   __parameters__types	new_classr*   rP   r   __is_pydantic_dataclass____pydantic_decorators__
__module____qualname__classmethod_pydantic_fields_complete__pydantic_fields_complete____pydantic_complete__complete_dataclass)rD   rZ   original_clshas_dataclass_baseconfig_dictconfig_wrapper
decoratorsoriginal_docbasesgeneric_basefrozen_r+   r'   r*   kwargsrX   r(   r&   r)   s              r8   create_dataclassz#dataclass.<locals>.create_dataclass   s    	544444># 	#k3<kkk)   
  ! Z ZCM Z Z ZZZ! 	f&8WSJ_=`=`&8]nqnz ] ] ]$	    !' 2ffEZ\`8a8a .{;; /55c::

 { 5c:: 	7  L
 FE#w'' 0&s'9://#,66C'',,, G$ meheq m m m( 	    %+4uG#

 #

 

 

 

 )-%&0#"%0'4+67P+Q+Q($)! 	0nSXYYYY
r9   N)rD   rE   r3   rF   )rD   rE   r3   r<   )rM   rN   )r:   r%   r&   r'   r(   r)   r*   r+   r,   r-   r.   r   r   rX   s     ``````    @@r8   r   r   a   s    ^ 5===S===5(((*Y(((
7""$u55J J J JB` ` ` ` ` ` ` ` ` ` ` ` `D  $|1A1A$1G1GGr9   rD   c                b    t          d | j                                        D                       S )zReturn whether the fields where successfully collected (i.e. type hints were successfully resolves).

    This is a private property, not meant to be used outside Pydantic.
    c              3  $   K   | ]}|j         V  d S r6   )	_complete)r^   
field_infos     r8   r`   z,_pydantic_fields_complete.<locals>.<genexpr>#  s%      WW
z#WWWWWWr9   )all__pydantic_fields__values)rD   s    r8   r{   r{     s0    
 WWc6M6T6T6V6VWWWWWWr9   )r!      argsr   r   r	   c                      t          d          )a9  This 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[<parameter>]`.
        z 'InitVar' object is not callable)	TypeError)r   r   s     r8   _call_initvarr   ,  s    
 :;;;r9   rb   )forcere   _parent_namespace_depth_types_namespacer   re   r   intr   MappingNamespace | Nonec               <   |s	| j         rdS dD ]}|| j        v rt          | |           d| _         ||}n!|dk    rt          j        |d          pi }ni }t          j        |          }t          j        | t          j
        | j        d          ||d	          S )
ax  Try to rebuild the pydantic-core schema for the dataclass.

    This may be necessary when one of the annotations is a ForwardRef which could not be resolved during
    the initial attempt to build the schema, and automatic rebuilding fails.

    This is analogous to `BaseModel.model_rebuild`.

    Args:
        cls: The class to rebuild the pydantic-core schema for.
        force: Whether to force the rebuilding of the schema, defaults to `False`.
        raise_errors: Whether to raise errors, defaults to `True`.
        _parent_namespace_depth: The depth level of the parent namespace, defaults to 2.
        _types_namespace: The types namespace, defaults to `None`.

    Returns:
        Returns `None` if the schema is already "complete" and rebuilding was not required.
        If rebuilding _was_ required, returns `True` if rebuilding was successful, otherwise `False`.
    N)__pydantic_core_schema____pydantic_validator____pydantic_serializer__Fr   T)parent_depthr   )parent_namespace)check)re   ns_resolver_force_build)r}   rR   delattrr   parent_frame_namespacer   
NsResolverrp   r~   r   rl   ra   )rD   r   re   r   r   attr
rebuild_nsr   s           r8   r   r   6  s    4  S. ta  3< C %C#%

	 1	$	$"9G^fjkkkqoq


"-#  K !3c5UCCC!
 
 
 
 
r9   class_rE   "TypeGuard[type[PydanticDataclass]]c               `    	 d| j         v ot          j        |           S # t          $ r Y dS w xY w)zWhether a class is a pydantic dataclass.

    Args:
        class_: The class.

    Returns:
        `True` if the class is a pydantic dataclass, `False` otherwise.
    rv   F)rR   rP   r]   AttributeError)r   s    r8   is_pydantic_dataclassr   s  sG    *fo=b+BZ[aBbBbb   uus    
--)r%   r/   r&   r0   r'   r0   r(   r0   r)   r0   r*   r0   r+   r1   r,   r2   r-   r0   r.   r0   r3   r4   )r:   r;   r%   r/   r&   r0   r'   r0   r(   r0   r)   r0   r*   r2   r+   r1   r,   r2   r-   r0   r.   r0   r3   r<   )r%   r/   r&   r0   r'   r0   r(   r0   r)   r0   r*   r2   r+   r1   r,   r2   r3   r4   )r:   r;   r%   r/   r&   r0   r'   r0   r(   r0   r)   r0   r*   r2   r+   r1   r,   r2   r3   r<   r6   )r:   rA   r%   r/   r&   r0   r'   r0   r(   r0   r)   r0   r*   r2   r+   r1   r,   r2   r-   r0   r.   r0   r3   rB   )rD   r<   r3   r0   )r   r   r   r   r3   r	   )rD   r<   r   r0   re   r0   r   r   r   r   r3   r2   )r   rE   r3   r   )7ro   
__future__r   _annotationsrP   rM   rt   typingr   r   r   r   r   r	   r
   r   warningsr   typing_extensionsr   r   	_internalr   r   r   r   r   rp   
_migrationr   r+   r   errorsr   fieldsr   r   r   _internal._dataclassesr   _internal._namespace_utilsr   __all__r   rN   rQ   r   r{   rg   __getattr__r   InitVar__call__r   r   r7   r9   r8   <module>r      sE   = = 2 2 2 2 2 2     



  ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^ ^       < < < < < < < < L L L L L L L L L L L L < < < < < < ) ) ) ) ) )       % % % % % % 1 1 1 1 1 1 1 1 1 1 =999999<<<<<<
*WT]]w;+<e[*QRRR  %!37(,     X SR ;+<e[*QRRR  %!"37(,& & & & & X SR& &" ;+<e[*QRRR  %!"37(,     X SR ;+<e[*QRRR  %!"37(,& & & & & X SR& {'8%&MNNN yH !/3$(yH yH yH yH yH ONyHxX X X X  ))g< < < < $1K  #$04: : : : : :z     r9   