





import copy

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


UpperCamelCase__          =logging.get_logger(__name__)

UpperCamelCase__          ={
    '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 	lowerCAmelCase__(       __lowercase			):






       '''simple docstring'''


       __snake_case       	=			'musicgen_decoder'
       __snake_case       	=			['past_key_values']




       def __init__(					self			,  __lowerCamelCase=2_0_4_8			,  __lowerCamelCase=2_0_4_8			,  __lowerCamelCase=2_4			,  __lowerCamelCase=4_0_9_6			,  __lowerCamelCase=1_6			,  __lowerCamelCase=0.0			,  __lowerCamelCase=True			,  __lowerCamelCase="gelu"			,  __lowerCamelCase=1_0_2_4			,  __lowerCamelCase=0.1			,  __lowerCamelCase=0.0			,  __lowerCamelCase=0.0			,  __lowerCamelCase=0.02			,  __lowerCamelCase=False			,  __lowerCamelCase=4			,  __lowerCamelCase=2_0_4_8			,  __lowerCamelCase=2_0_4_8			,  __lowerCamelCase=None			,  __lowerCamelCase=False			,  **__lowerCamelCase			,  )	->   Optional[Any]:
            _SCREAMING_SNAKE_CASE				:		int  			=							vocab_size
            _SCREAMING_SNAKE_CASE				:		int  			=							max_position_embeddings
            _SCREAMING_SNAKE_CASE				:		List[str]  			=							hidden_size
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							ffn_dim
            _SCREAMING_SNAKE_CASE				:		List[str]  			=							num_hidden_layers
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							num_attention_heads
            _SCREAMING_SNAKE_CASE				:		Any  			=							dropout
            _SCREAMING_SNAKE_CASE				:		int  			=							attention_dropout
            _SCREAMING_SNAKE_CASE				:		str  			=							activation_dropout
            _SCREAMING_SNAKE_CASE				:		List[str]  			=							activation_function
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							initializer_factor
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							layerdrop
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							use_cache
            _SCREAMING_SNAKE_CASE				:		int  			=							scale_embedding  # scale factor will be sqrt(d_model) if True
            _SCREAMING_SNAKE_CASE				:		int  			=							num_codebooks
            super().__init__(
                pad_token_id=__lowerCamelCase			,  bos_token_id=__lowerCamelCase			,  eos_token_id=__lowerCamelCase			,  tie_word_embeddings=__lowerCamelCase			,  **__lowerCamelCase			,  )





class 	lowerCAmelCase__(       __lowercase			):






       '''simple docstring'''


       __snake_case       	=			'musicgen'
       __snake_case       	=			True




       def __init__(					self			,  **__lowerCamelCase							)	->   Tuple:
            super().__init__(**__lowerCamelCase							)
            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				:		int  			=							kwargs.pop("text_encoder"							)
            _SCREAMING_SNAKE_CASE				:		List[Any]  			=							text_encoder_config.pop("model_type"							)

            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							kwargs.pop("audio_encoder"							)
            _SCREAMING_SNAKE_CASE				:		Optional[Any]  			=							audio_encoder_config.pop("model_type"							)

            _SCREAMING_SNAKE_CASE				:		str  			=							kwargs.pop("decoder"							)

            _SCREAMING_SNAKE_CASE				:		int  			=							AutoConfig.for_model(__lowerCamelCase			,  **__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE				:		Optional[int]  			=							AutoConfig.for_model(__lowerCamelCase			,  **__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE				:		int  			=							MusicgenDecoderConfig(**__lowerCamelCase							)
            _SCREAMING_SNAKE_CASE				:		Any  			=							True




       @classmethod
       def 			UpperCamelCase_	(					cls			,  __lowerCamelCase			,  __lowerCamelCase			,  __lowerCamelCase			,  **__lowerCamelCase			,  )	->   int:
            return cls(
                text_encoder=text_encoder_config.to_dict()			,  audio_encoder=audio_encoder_config.to_dict()			,  decoder=decoder_config.to_dict()			,  **__lowerCamelCase			,  )







       def 			UpperCamelCase_	(					self							)	->   Union[str, Any]:
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							copy.deepcopy(self.__dict__							)
            _SCREAMING_SNAKE_CASE				:		int  			=							self.text_encoder.to_dict()
            _SCREAMING_SNAKE_CASE				:		int  			=							self.audio_encoder.to_dict()
            _SCREAMING_SNAKE_CASE				:		Union[str, Any]  			=							self.decoder.to_dict()
            _SCREAMING_SNAKE_CASE				:		Tuple  			=							self.__class__.model_type
            return output

"""simple docstring"""




# Lint as: python3

import hashlib
from typing import Union

def   UpperCamelCase_  (		SCREAMING_SNAKE_CASE_			):
					if isinstance(SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			):
										# Data already in bytes, returns as it as
										return hash_data
					elif isinstance(SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			):
										# We keep the data as it as for it ot be later encoded to UTF-8
										# However replace `\\` with `/` for Windows compatibility
										SCREAMING_SNAKE_CASE				=	hash_data.replace('\\',     '/'			)
					elif isinstance(SCREAMING_SNAKE_CASE_,     SCREAMING_SNAKE_CASE_			):
										SCREAMING_SNAKE_CASE				=	str(SCREAMING_SNAKE_CASE_			)
					else:
										# If data is not of the required type, raise error
										raise InvalidKeyError(SCREAMING_SNAKE_CASE_			)

					return hash_data.encode('utf-8'			)




class      UpperCamelCase	(       __magic_name__      ):

				"""simple docstring"""



				def __init__(				self		,	lowercase__			)    ->    Dict:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	'\nFAILURE TO GENERATE DATASET: Invalid key type detected'
									SCREAMING_SNAKE_CASE				=	f'''\nFound Key {hash_data} of type {type(lowercase__			)}'''
									SCREAMING_SNAKE_CASE				=	'\nKeys should be either str, int or bytes type'
									super().__init__(f'''{self.prefix}{self.err_msg}{self.suffix}'''			)






class      UpperCamelCase	(       __magic_name__      ):

				"""simple docstring"""



				def __init__(				self		,	lowercase__		,	lowercase__		,	lowercase__=""			)    ->    Tuple:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	key
									SCREAMING_SNAKE_CASE				=	duplicate_key_indices
									SCREAMING_SNAKE_CASE				=	fix_msg
									SCREAMING_SNAKE_CASE				=	'Found multiple examples generated with the same key'
									if len(lowercase__			) <= 20:
														SCREAMING_SNAKE_CASE				=	f'''\nThe examples at index {', '.join(lowercase__			)} have the key {key}'''
									else:
														SCREAMING_SNAKE_CASE				=	f'''\nThe examples at index {', '.join(duplicate_key_indices[:20]			)}... ({len(lowercase__			) - 20} more) have the key {key}'''
									SCREAMING_SNAKE_CASE				=	'\n' + fix_msg if fix_msg else ''
									super().__init__(f'''{self.prefix}{self.err_msg}{self.suffix}'''			)






class      UpperCamelCase	:

				"""simple docstring"""



				def __init__(				self		,	lowercase__			)    ->    Union[str, Any]:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	hashlib.mda(_as_bytes(lowercase__			)			)




				def 							A					(				self		,	lowercase__			)    ->    int:
									"""simple docstring"""







									SCREAMING_SNAKE_CASE				=	self._split_mda.copy()
									SCREAMING_SNAKE_CASE				=	_as_bytes(lowercase__			)
									mda.update(lowercase__			)
									# Convert to integer with hexadecimal conversion
									return int(mda.hexdigest()		,	16			)
