




import copy

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


SCREAMING_SNAKE_CASE:    List[Any]											=   logging.get_logger(__name__)

SCREAMING_SNAKE_CASE:    Dict											=   {
    '''facebook/musicgen-small''': '''https://huggingface.co/facebook/musicgen-small/resolve/main/config.json''',
    # See all Musicgen models at https://huggingface.co/models?filter=musicgen
}



class       lowercase_		(SCREAMING_SNAKE_CASE__   ):
						lowerCAmelCase__ 			="musicgen_decoder"
						lowerCAmelCase__ 			=["past_key_values"]



						def __init__( self  :      Union[str, Any]				,       snake_case__  :      Any=20_48				,       snake_case__  :      Optional[int]=20_48				,       snake_case__  :      Any=24				,       snake_case__  :      Tuple=40_96				,       snake_case__  :      Optional[int]=16				,       snake_case__  :      Tuple=0.0				,       snake_case__  :      List[Any]=True				,       snake_case__  :      Dict="gelu"				,       snake_case__  :      Optional[Any]=10_24				,       snake_case__  :      Optional[Any]=0.1				,       snake_case__  :      int=0.0				,       snake_case__  :      str=0.0				,       snake_case__  :      Any=0.02				,       snake_case__  :      int=False				,       snake_case__  :      Optional[Any]=4				,       snake_case__  :      int=20_48				,       snake_case__  :      str=20_48				,       snake_case__  :      List[Any]=None				,       snake_case__  :      Optional[int]=False				,       **snake_case__  :      Optional[Any]				,       ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       vocab_size
								SCREAMING_SNAKE_CASE_							=       max_position_embeddings
								SCREAMING_SNAKE_CASE_							=       hidden_size
								SCREAMING_SNAKE_CASE_							=       ffn_dim
								SCREAMING_SNAKE_CASE_							=       num_hidden_layers
								SCREAMING_SNAKE_CASE_							=       num_attention_heads
								SCREAMING_SNAKE_CASE_							=       dropout
								SCREAMING_SNAKE_CASE_							=       attention_dropout
								SCREAMING_SNAKE_CASE_							=       activation_dropout
								SCREAMING_SNAKE_CASE_							=       activation_function
								SCREAMING_SNAKE_CASE_							=       initializer_factor
								SCREAMING_SNAKE_CASE_							=       layerdrop
								SCREAMING_SNAKE_CASE_							=       use_cache
								SCREAMING_SNAKE_CASE_							=       scale_embedding  # scale factor will be sqrt(d_model) if True
								SCREAMING_SNAKE_CASE_							=       num_codebooks
								super().__init__(
								    pad_token_id=snake_case__				,       bos_token_id=snake_case__				,       eos_token_id=snake_case__				,       tie_word_embeddings=snake_case__				,       **snake_case__				,       )



class       lowercase_		(SCREAMING_SNAKE_CASE__   ):
						lowerCAmelCase__ 			="musicgen"
						lowerCAmelCase__ 			=True



						def __init__( self  :      Union[str, Any]				,       **snake_case__  :      str     ):

								"""simple docstring"""

								super().__init__(**snake_case__     )
								if "text_encoder" not in kwargs or "audio_encoder" not in kwargs or "decoder" not in kwargs:
										raise ValueError('Config has to be initialized with text_encoder, audio_encoder and decoder config'     )

								SCREAMING_SNAKE_CASE_							=       kwargs.pop('text_encoder'     )
								SCREAMING_SNAKE_CASE_							=       text_encoder_config.pop('model_type'     )

								SCREAMING_SNAKE_CASE_							=       kwargs.pop('audio_encoder'     )
								SCREAMING_SNAKE_CASE_							=       audio_encoder_config.pop('model_type'     )

								SCREAMING_SNAKE_CASE_							=       kwargs.pop('decoder'     )

								SCREAMING_SNAKE_CASE_							=       AutoConfig.for_model(snake_case__				,       **snake_case__     )
								SCREAMING_SNAKE_CASE_							=       AutoConfig.for_model(snake_case__				,       **snake_case__     )
								SCREAMING_SNAKE_CASE_							=       MusicgenDecoderConfig(**snake_case__     )
								SCREAMING_SNAKE_CASE_							=       True



						@classmethod
						def   __a				( cls  :      List[Any]				,       snake_case__  :      PretrainedConfig				,       snake_case__  :      PretrainedConfig				,       snake_case__  :      MusicgenDecoderConfig				,       **snake_case__  :      Tuple				,       ):

								"""simple docstring"""

								return cls(
								    text_encoder=text_encoder_config.to_dict()				,       audio_encoder=audio_encoder_config.to_dict()				,       decoder=decoder_config.to_dict()				,       **snake_case__				,       )






						def   __a				( self  :      List[str]     ):

								"""simple docstring"""

								SCREAMING_SNAKE_CASE_							=       copy.deepcopy(self.__dict__     )
								SCREAMING_SNAKE_CASE_							=       self.text_encoder.to_dict()
								SCREAMING_SNAKE_CASE_							=       self.audio_encoder.to_dict()
								SCREAMING_SNAKE_CASE_							=       self.decoder.to_dict()
								SCREAMING_SNAKE_CASE_							=       self.__class__.model_type
								return output





from __future__ import annotations


def 				_a       (				lowerCAmelCase						,	lowerCAmelCase   )->  int:
		SCREAMING_SNAKE_CASE_			,							SCREAMING_SNAKE_CASE_							=       0, len(lowerCAmelCase   ) - 1
		while start_ind <= end_ind:
				if array[start_ind] == search_item:
						return start_ind
				elif array[end_ind] == search_item:
						return end_ind
				else:
						start_ind += 1
						end_ind -= 1
    # returns -1 if search_item is not found in array
		return -1


if __name__ == "__main__":
						print(double_linear_search(list(range(1_0_0)), 4_0))