






# Lint as: python3

import hashlib
from typing import Union







def 						a_      (__A			)							->	bytes:



					"""simple docstring"""
					if isinstance(__A							,					__A			):
										# Data already in bytes, returns as it as
										return hash_data
					elif isinstance(__A							,					__A			):
										# We keep the data as it as for it ot be later encoded to UTF-8
										# However replace `\\` with `/` for Windows compatibility
										__a				:	Any			=				hash_data.replace("\\"							,					"/"			)
					elif isinstance(__A							,					__A			):
										__a				:	List[str]			=				str(__A			)
					else:
										# If data is not of the required type, raise error
										raise InvalidKeyError(__A			)

					return hash_data.encode("utf-8"			)




class        snake_case_					(						__UpperCamelCase			):

						"""simple docstring"""



						def __init__(self:				Optional[int]   ,				__UpperCAmelCase:				str      )						->    Optional[Any]:




											'''simple docstring'''



											__a				:	Union[str, Any]			=				"\nFAILURE TO GENERATE DATASET: Invalid key type detected"
											__a				:	Tuple			=				f'\nFound Key {hash_data} of type {type(__UpperCAmelCase      )}'
											__a				:	List[str]			=				"\nKeys should be either str, int or bytes type"
											super().__init__(f'{self.prefix}{self.err_msg}{self.suffix}'      )




class        snake_case_					(						__UpperCamelCase			):

						"""simple docstring"""



						def __init__(self:				Optional[int]   ,				__UpperCAmelCase:				str   ,				__UpperCAmelCase:				List[str]   ,				__UpperCAmelCase:				Optional[int]=""      )						->    Any:




											'''simple docstring'''



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




class        snake_case_					:

						"""simple docstring"""



						def __init__(self:				Optional[int]   ,				__UpperCAmelCase:				str      )						->    Optional[Any]:




											'''simple docstring'''



											__a				:	Optional[Any]			=				hashlib.mda(_as_bytes(__UpperCAmelCase      )      )



						def 					UpperCAmelCase__				(self:				str   ,				__UpperCAmelCase:				Union[str, int, bytes]      )						->    int:




											'''simple docstring'''



											__a				:	Dict			=				self._split_mda.copy()
											__a				:	Tuple			=				_as_bytes(__UpperCAmelCase      )
											mda.update(__UpperCAmelCase      )
											# Convert to integer with hexadecimal conversion
											return int(mda.hexdigest()   ,				16      )













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        snake_case_					(						__UpperCamelCase			):

						"""simple docstring"""



						snake_case__   					=			"""musicgen_decoder"""
						snake_case__   					=			["""past_key_values"""]



						def __init__(self:				str   ,				__UpperCAmelCase:				Union[str, Any]=2048   ,				__UpperCAmelCase:				Union[str, Any]=2048   ,				__UpperCAmelCase:				List[Any]=24   ,				__UpperCAmelCase:				Dict=4096   ,				__UpperCAmelCase:				int=16   ,				__UpperCAmelCase:				Dict=0.0   ,				__UpperCAmelCase:				str=True   ,				__UpperCAmelCase:				Tuple="gelu"   ,				__UpperCAmelCase:				Optional[Any]=1024   ,				__UpperCAmelCase:				Optional[Any]=0.1   ,				__UpperCAmelCase:				List[Any]=0.0   ,				__UpperCAmelCase:				int=0.0   ,				__UpperCAmelCase:				List[Any]=0.02   ,				__UpperCAmelCase:				Union[str, Any]=False   ,				__UpperCAmelCase:				Any=4   ,				__UpperCAmelCase:				Tuple=2048   ,				__UpperCAmelCase:				Tuple=2048   ,				__UpperCAmelCase:				Dict=None   ,				__UpperCAmelCase:				Dict=False   ,				**__UpperCAmelCase:				Any   ,				)						->    Optional[Any]:




											'''simple docstring'''



											__a				:	Dict			=				vocab_size
											__a				:	List[str]			=				max_position_embeddings
											__a				:	int			=				hidden_size
											__a				:	Union[str, Any]			=				ffn_dim
											__a				:	List[Any]			=				num_hidden_layers
											__a				:	List[Any]			=				num_attention_heads
											__a				:	List[Any]			=				dropout
											__a				:	str			=				attention_dropout
											__a				:	Union[str, Any]			=				activation_dropout
											__a				:	Optional[int]			=				activation_function
											__a				:	List[str]			=				initializer_factor
											__a				:	Union[str, Any]			=				layerdrop
											__a				:	Optional[int]			=				use_cache
											__a				:	List[Any]			=				scale_embedding  # scale factor will be sqrt(d_model) if True
											__a				:	str			=				num_codebooks
											super().__init__(
											    pad_token_id=__UpperCAmelCase   ,				bos_token_id=__UpperCAmelCase   ,				eos_token_id=__UpperCAmelCase   ,				tie_word_embeddings=__UpperCAmelCase   ,				**__UpperCAmelCase   ,				)




class        snake_case_					(						__UpperCamelCase			):

						"""simple docstring"""



						snake_case__   					=			"""musicgen"""
						snake_case__   					=			True



						def __init__(self:				Union[str, Any]   ,				**__UpperCAmelCase:				Optional[int]      )						->    List[str]:




											'''simple docstring'''



											super().__init__(**__UpperCAmelCase      )
											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"      )

											__a				:	List[Any]			=				kwargs.pop("text_encoder"      )
											__a				:	Optional[Any]			=				text_encoder_config.pop("model_type"      )

											__a				:	Union[str, Any]			=				kwargs.pop("audio_encoder"      )
											__a				:	Dict			=				audio_encoder_config.pop("model_type"      )

											__a				:	Optional[Any]			=				kwargs.pop("decoder"      )

											__a				:	Optional[int]			=				AutoConfig.for_model(__UpperCAmelCase   ,				**__UpperCAmelCase      )
											__a				:	int			=				AutoConfig.for_model(__UpperCAmelCase   ,				**__UpperCAmelCase      )
											__a				:	List[Any]			=				MusicgenDecoderConfig(**__UpperCAmelCase      )
											__a				:	Optional[int]			=				True



						@classmethod
						def 					UpperCAmelCase__				(cls:				Union[str, Any]   ,				__UpperCAmelCase:				PretrainedConfig   ,				__UpperCAmelCase:				PretrainedConfig   ,				__UpperCAmelCase:				MusicgenDecoderConfig   ,				**__UpperCAmelCase:				Any   ,				)						->    Tuple:




											'''simple docstring'''



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



						def 					UpperCAmelCase__				(self:				List[str]      )						->    int:




											'''simple docstring'''



											__a				:	Dict			=				copy.deepcopy(self.__dict__      )
											__a				:	Optional[Any]			=				self.text_encoder.to_dict()
											__a				:	Optional[Any]			=				self.audio_encoder.to_dict()
											__a				:	Tuple			=				self.decoder.to_dict()
											__a				:	List[Any]			=				self.__class__.model_type
											return output





