
'''simple docstring'''
import copy

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


lowercase__		    =	logging.get_logger(__name__)

lowercase__		    =	{
    "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"""

		lowerCamelCase							=		"""musicgen_decoder"""
		lowerCamelCase							=		["""past_key_values"""]



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






				"""simple docstring"""







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







class      snake_case__    (	UpperCamelCase__ ):







		"""simple docstring"""

		lowerCamelCase							=		"""musicgen"""
		lowerCamelCase							=		True



		def __init__(	self							:       Tuple   ,     **UpperCamelCase__							:       int	)		->       Tuple:






				"""simple docstring"""







				super().__init__(**__A	)
				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'''	)

				snake_case   :    Optional[int]			       =		kwargs.pop('''text_encoder'''	)
				snake_case   :    Union[str, Any]			       =		text_encoder_config.pop('''model_type'''	)

				snake_case   :    int			       =		kwargs.pop('''audio_encoder'''	)
				snake_case   :    Union[str, Any]			       =		audio_encoder_config.pop('''model_type'''	)

				snake_case   :    Union[str, Any]			       =		kwargs.pop('''decoder'''	)

				snake_case   :    List[str]			       =		AutoConfig.for_model(__A   ,     **__A	)
				snake_case   :    Union[str, Any]			       =		AutoConfig.for_model(__A   ,     **__A	)
				snake_case   :    int			       =		MusicgenDecoderConfig(**__A	)
				snake_case   :    Tuple			       =		True



		@classmethod
		def 	lowerCAmelCase							(	cls							:       Tuple   ,     UpperCamelCase__							:       PretrainedConfig   ,     UpperCamelCase__							:       PretrainedConfig   ,     UpperCamelCase__							:       MusicgenDecoderConfig   ,     **UpperCamelCase__							:       Dict   ,     )		->       str:






				"""simple docstring"""







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



		def 	lowerCAmelCase							(	self							:       Union[str, Any]	)		->       List[Any]:






				"""simple docstring"""







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









def  SCREAMING_SNAKE_CASE__							(				UpperCamelCase__:							str			):
		SCREAMING_SNAKE_CASE__								=					SCREAMING_SNAKE_CASE__								=					0
		for letter in data:
				SCREAMING_SNAKE_CASE__								=					(hash_ << 4) + ord(UpperCamelCase__			)
				SCREAMING_SNAKE_CASE__								=					hash_ & 0XF_0_0_0_0_0_0_0
				if x != 0:
						hash_ ^= x >> 24
				hash_ &= ~x
		return hash_


if __name__ == "__main__":
	import doctest

	doctest.testmod()