import copy

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import AutoConfig


UpperCAmelCase      		=					logging.get_logger(__name__)




class  __lowerCAmelCase	(							a_    ):



 '''simple docstring'''
 _lowerCamelCase    :						Optional[int]					     =			'speech-encoder-decoder'
 _lowerCamelCase    :						str					     =			True

 def __init__(      self							:		int							,      **lowerCamelCase							:		Optional[Any]	)			->				Optional[int]:
        super().__init__(**lowerCamelCase	)
        if "encoder" not in kwargs or "decoder" not in kwargs:
               raise ValueError(
                   f"A configuraton of type {self.model_type} cannot be instantiated because not both `encoder` and"
                   f" `decoder` sub-configurations are passed, but only {kwargs}"	)

        _UpperCamelCase  :							Any	    =	kwargs.pop('encoder'	)
        _UpperCamelCase  :							List[Any]	    =	encoder_config.pop('model_type'	)
        _UpperCamelCase  :							Union[str, Any]	    =	kwargs.pop('decoder'	)
        _UpperCamelCase  :							Optional[Any]	    =	decoder_config.pop('model_type'	)

        _UpperCamelCase  :							Dict	    =	AutoConfig.for_model(lowerCamelCase							,      **lowerCamelCase	)
        _UpperCamelCase  :							Dict	    =	AutoConfig.for_model(lowerCamelCase							,      **lowerCamelCase	)
        _UpperCamelCase  :							List[Any]	    =	True

 @classmethod
 def        __snake_case       (      cls							:		Union[str, Any]							,      lowerCamelCase							:		PretrainedConfig							,      lowerCamelCase							:		PretrainedConfig							,      **lowerCamelCase							:		Any	)			->				PretrainedConfig:
        logger.info('Setting `config.is_decoder=True` and `config.add_cross_attention=True` for decoder_config'	)
        _UpperCamelCase  :							str	    =	True
        _UpperCamelCase  :							Optional[int]	    =	True

        return cls(encoder=encoder_config.to_dict()							,      decoder=decoder_config.to_dict()							,      **lowerCamelCase	)

 def        __snake_case       (      self							:		List[Any]	)			->				Optional[Any]:
        _UpperCamelCase  :							Optional[Any]	    =	copy.deepcopy(self.__dict__	)
        _UpperCamelCase  :							List[Any]	    =	self.encoder.to_dict()
        _UpperCamelCase  :							Optional[Any]	    =	self.decoder.to_dict()
        _UpperCamelCase  :							List[Any]	    =	self.__class__.model_type
        return output





"""simple docstring"""




import enum
import inspect
import warnings
from functools import wraps
from typing import Callable, Optional

from .logging import get_logger


A__   :						Optional[Any] 							=     set()
A__   :						List[str] 							=     get_logger(__name__)



def 				a__			(					lowerCAmelCase						:							Optional[str] = None		):






     '''simple docstring'''

     def decorator(lowerCAmelCase						:							Callable		):
          global _emitted_deprecation_warnings

          if inspect.isclass(lowerCAmelCase		):
               UpperCAmelCase__				:			Any							=    deprecated_class_or_function.__init__
               UpperCAmelCase__				:			Optional[int]							=    deprecated_class_or_function.__name__
          else:
               UpperCAmelCase__				:			str							=    deprecated_class_or_function
               UpperCAmelCase__				:			List[Any]							=    deprecated_function.__name__
               # Support deprecating __init__ class method: class name instead
               UpperCAmelCase__				:			List[str]							=    name if name != "__init__" else deprecated_function.__qualname__.split("."		)[-2]

          UpperCAmelCase__				:			Optional[Any]							=    (
              F"{name} is deprecated and will be removed in the next major version of datasets." + F" {help_message}"
              if help_message
              else ""
          )

          @wraps(lowerCAmelCase		)
          def wrapper(*lowerCAmelCase						:							int							,     **lowerCAmelCase						:							str		):
               UpperCAmelCase__				:			List[str]							=    hash(lowerCAmelCase		)
               if func_hash not in _emitted_deprecation_warnings:
                    warnings.warn(lowerCAmelCase							,     category=lowerCAmelCase							,     stacklevel=2		)
                    _emitted_deprecation_warnings.add(lowerCAmelCase		)
               return deprecated_function(*lowerCAmelCase							,     **lowerCAmelCase		)

          UpperCAmelCase__				:			List[str]							=    "deprecated"

          if inspect.isclass(lowerCAmelCase		):
               UpperCAmelCase__				:			List[str]							=    wrapper
               return deprecated_class_or_function
          else:
               return wrapper

     return decorator







class 	_lowercase    (							enum.EnumMeta					):


     '''simple docstring'''





     def __getattribute__(   cls			,      __UpperCamelCase	)->       Optional[Any]:
          UpperCAmelCase__				:			Optional[int]							=    super().__getattribute__(__UpperCamelCase	)
          if isinstance(__UpperCamelCase			,      enum.Enum	) and obj._on_access:
               obj._on_access()
          return obj



     def __getitem__(   cls			,      __UpperCamelCase	)->       Optional[int]:
          UpperCAmelCase__				:			Union[str, Any]							=    super().__getitem__(__UpperCamelCase	)
          if member._on_access:
               member._on_access()
          return member



     def __call__(   cls			,      __UpperCamelCase			,      __UpperCamelCase=None			,      *, __UpperCamelCase=None			,      __UpperCamelCase=None			,      __UpperCamelCase=None			,      __UpperCamelCase=1	)->       Dict:
          UpperCAmelCase__				:			Optional[int]							=    super().__call__(__UpperCamelCase			,      __UpperCamelCase			,      module=__UpperCamelCase			,      qualname=__UpperCamelCase			,      type=__UpperCamelCase			,      start=__UpperCamelCase	)
          if isinstance(__UpperCamelCase			,      enum.Enum	) and obj._on_access:
               obj._on_access()
          return obj







class 	_lowercase    (							enum.Enum						, metaclass=lowerCAmelCase_					):


     '''simple docstring'''





     def __new__(   cls			,      __UpperCamelCase	)->       Union[str, Any]:
          UpperCAmelCase__				:			int							=    object.__new__(cls	)
          UpperCAmelCase__				:			int							=    value
          UpperCAmelCase__				:			Optional[int]							=    member.deprecate
          return member



     @property
     def 			lowerCAmelCase__							(   self	)->       Union[str, Any]:
          return ""



     def 			lowerCAmelCase__							(   self	)->       int:
          UpperCAmelCase__				:			Tuple							=    F" {self.help_message}" if self.help_message else ""
          warnings.warn(
              F"'{self.__objclass__.__name__}' is deprecated and will be removed in the next major version of datasets."
              + help_message			,      __UpperCamelCase			,      stacklevel=3			,      )



