





import copy

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


__lowercase							:Union[str, Any]							=	logging.get_logger(__name__)

__lowercase							:Tuple							=	{
    "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  _a  (					lowercase__				):






							"""simple docstring"""

							snake_case_							=    "musicgen_decoder"
							snake_case_							=    ["past_key_values"]

							def __init__(   self					:  Any				,						a					:  Optional[int]=20_48				,						a					:  Optional[int]=20_48				,						a					:  List[Any]=24				,						a					:  Optional[Any]=40_96				,						a					:  Tuple=16				,						a					:  Tuple=0.0				,						a					:  List[Any]=True				,						a					:  Dict="gelu"				,						a					:  List[Any]=10_24				,						a					:  Optional[Any]=0.1				,						a					:  List[Any]=0.0				,						a					:  int=0.0				,						a					:  List[Any]=0.02				,						a					:  Tuple=False				,						a					:  Union[str, Any]=4				,						a					:  Tuple=20_48				,						a					:  str=20_48				,						a					:  Any=None				,						a					:  Optional[int]=False				,						**a					:  Tuple				,						)						->List[Any]:
													SCREAMING_SNAKE_CASE__  :					List[Any] =       vocab_size
													SCREAMING_SNAKE_CASE__  :					str =       max_position_embeddings
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       hidden_size
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       ffn_dim
													SCREAMING_SNAKE_CASE__  :					List[Any] =       num_hidden_layers
													SCREAMING_SNAKE_CASE__  :					Tuple =       num_attention_heads
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       dropout
													SCREAMING_SNAKE_CASE__  :					List[str] =       attention_dropout
													SCREAMING_SNAKE_CASE__  :					Any =       activation_dropout
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       activation_function
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       initializer_factor
													SCREAMING_SNAKE_CASE__  :					Tuple =       layerdrop
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       use_cache
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       scale_embedding  # scale factor will be sqrt(d_model) if True
													SCREAMING_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  _a  (					lowercase__				):






							"""simple docstring"""

							snake_case_							=    "musicgen"
							snake_case_							=    True

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

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

													SCREAMING_SNAKE_CASE__  :					str =       kwargs.pop("audio_encoder"     )
													SCREAMING_SNAKE_CASE__  :					Dict =       audio_encoder_config.pop("model_type"     )

													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       kwargs.pop("decoder"     )

													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       AutoConfig.for_model(a				,						**a     )
													SCREAMING_SNAKE_CASE__  :					int =       AutoConfig.for_model(a				,						**a     )
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       MusicgenDecoderConfig(**a     )
													SCREAMING_SNAKE_CASE__  :					Tuple =       True

							@classmethod
							def   A_	(   cls					:  List[Any]				,						a					:  PretrainedConfig				,						a					:  PretrainedConfig				,						a					:  MusicgenDecoderConfig				,						**a					:  Dict				,						)						->Tuple:
													return cls(
													    text_encoder=text_encoder_config.to_dict()				,						audio_encoder=audio_encoder_config.to_dict()				,						decoder=decoder_config.to_dict()				,						**a				,						)






							def   A_	(   self					:  Tuple     )						->Any:
													SCREAMING_SNAKE_CASE__  :					Any =       copy.deepcopy(self.__dict__     )
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       self.text_encoder.to_dict()
													SCREAMING_SNAKE_CASE__  :					Any =       self.audio_encoder.to_dict()
													SCREAMING_SNAKE_CASE__  :					List[Any] =       self.decoder.to_dict()
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       self.__class__.model_type
													return output






from __future__ import annotations

from collections.abc import Iterable
from dataclasses import dataclass
from typing import Any



class  _a  :






							"""simple docstring"""

							snake_case_							=    ("_front", "_back", "_len")



							@dataclass
							class  _a  :






														"""simple docstring"""

														snake_case_							=    None
														snake_case_							=    None
														snake_case_							=    None







							class  _a  :






														"""simple docstring"""

														snake_case_							=    ("_cur",)

														def __init__(   self					:  Tuple				,						a					:  Deque._Node | None     )						->None:
																				SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       cur

														def __iter__(   self					:  Dict     )						->Deque._Iterator:
																				return self






														def   A_	(   self					:  int     )						->Any:
																				if self._cur is None:
																										# finished iterating
																										raise StopIteration
																				SCREAMING_SNAKE_CASE__  :					Tuple =       self._cur.val
																				SCREAMING_SNAKE_CASE__  :					int =       self._cur.next_node

																				return val







							def __init__(   self					:  str				,						a					:  Iterable[Any] | None = None     )						->None:
													SCREAMING_SNAKE_CASE__  :					Any =       None
													SCREAMING_SNAKE_CASE__  :					Any =       None
													SCREAMING_SNAKE_CASE__  :					int =       0

													if iterable is not None:
																			# append every value to the deque
																			for val in iterable:
																									self.append(a     )

							def   A_	(   self					:  Tuple				,						a					:  Any     )						->None:
													SCREAMING_SNAKE_CASE__  :					Optional[Any] =       self._Node(a				,						a				,						a     )
													if self.is_empty():
																			# front = back
																			SCREAMING_SNAKE_CASE__  :					int =       node
																			SCREAMING_SNAKE_CASE__  :					Dict =       1
													else:
																			# connect nodes
																			SCREAMING_SNAKE_CASE__  :					Optional[int] =       node
																			SCREAMING_SNAKE_CASE__  :					Any =       self._back
																			SCREAMING_SNAKE_CASE__  :					Tuple =       node  # assign new back to the new node

																			self._len += 1

																			# make sure there were no errors
																			assert not self.is_empty(), "Error on appending value."

							def   A_	(   self					:  List[str]				,						a					:  Any     )						->None:
													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._Node(a				,						a				,						a     )
													if self.is_empty():
																			# front = back
																			SCREAMING_SNAKE_CASE__  :					str =       node
																			SCREAMING_SNAKE_CASE__  :					Dict =       1
													else:
																			# connect nodes
																			SCREAMING_SNAKE_CASE__  :					Any =       self._front
																			SCREAMING_SNAKE_CASE__  :					Tuple =       node
																			SCREAMING_SNAKE_CASE__  :					int =       node  # assign new front to the new node

																			self._len += 1

																			# make sure there were no errors
																			assert not self.is_empty(), "Error on appending value."

							def   A_	(   self					:  Dict				,						a					:  Iterable[Any]     )						->None:
													for val in iterable:
																			self.append(a     )

							def   A_	(   self					:  Tuple				,						a					:  Iterable[Any]     )						->None:
													for val in iterable:
																			self.appendleft(a     )

							def   A_	(   self					:  Any     )						->Any:
													assert not self.is_empty(), "Deque is empty."

													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._back
													SCREAMING_SNAKE_CASE__  :					Optional[int] =       self._back.prev_node  # set new back
													# drop the last node - python will deallocate memory automatically
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       None

													self._len -= 1

													return topop.val

							def   A_	(   self					:  Any     )						->Any:
													assert not self.is_empty(), "Deque is empty."

													SCREAMING_SNAKE_CASE__  :					Any =       self._front
													SCREAMING_SNAKE_CASE__  :					Dict =       self._front.next_node  # set new front and drop the first node
													SCREAMING_SNAKE_CASE__  :					Dict =       None

													self._len -= 1

													return topop.val

							def   A_	(   self					:  str     )						->bool:
													return self._front is None

							def __len__(   self					:  List[str]     )						->int:
													return self._len

							def __eq__(   self					:  List[Any]				,						a					:  object     )						->bool:

													if not isinstance(a				,						a     ):
																			return NotImplemented

													SCREAMING_SNAKE_CASE__  :					List[Any] =       self._front
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       other._front

													# if the length of the dequeues are not the same, they are not equal
													if len(self     ) != len(a     ):
																			return False

													while me is not None and oth is not None:
																			# compare every value
																			if me.val != oth.val:
																									return False
																			SCREAMING_SNAKE_CASE__  :					Any =       me.next_node
																			SCREAMING_SNAKE_CASE__  :					Any =       oth.next_node

													return True

							def __iter__(   self					:  Any     )						->Deque._Iterator:
													return Deque._Iterator(self._front     )






							def __repr__(   self					:  Any     )						->str:
													SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       []
													SCREAMING_SNAKE_CASE__  :					int =       self._front
													while aux is not None:
																			# append the values in a list to display
																			values_list.append(aux.val     )
																			SCREAMING_SNAKE_CASE__  :					Union[str, Any] =       aux.next_node

													return f"""[{', '.join(repr(a     ) for val in values_list     )}]"""


if __name__ == "__main__":
				import doctest

				doctest.testmod()