



import copy

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


__magic_name__       =     logging.get_logger(__name__)

__magic_name__       =     {
    '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__       (       _snake_case       ):


					"""simple docstring"""



					A__  :				List[Any]					 =				'''musicgen_decoder'''
					A__  :				Tuple					 =				['''past_key_values''']

					def __init__(		self     :Optional[Any]      ,  lowercase__     :Optional[Any]=2048      ,  lowercase__     :int=2048      ,  lowercase__     :str=24      ,  lowercase__     :List[str]=4096      ,  lowercase__     :Optional[int]=16      ,  lowercase__     :Tuple=0.0      ,  lowercase__     :Dict=True      ,  lowercase__     :int="gelu"      ,  lowercase__     :int=1024      ,  lowercase__     :Dict=0.1      ,  lowercase__     :Dict=0.0      ,  lowercase__     :Any=0.0      ,  lowercase__     :Union[str, Any]=0.02      ,  lowercase__     :Dict=False      ,  lowercase__     :Optional[Any]=4      ,  lowercase__     :List[str]=2048      ,  lowercase__     :str=2048      ,  lowercase__     :List[str]=None      ,  lowercase__     :Dict=False      ,  **lowercase__     :List[Any]      ,  ):
										lowercase						   =       vocab_size
										lowercase						   =       max_position_embeddings
										lowercase						   =       hidden_size
										lowercase						   =       ffn_dim
										lowercase						   =       num_hidden_layers
										lowercase						   =       num_attention_heads
										lowercase						   =       dropout
										lowercase						   =       attention_dropout
										lowercase						   =       activation_dropout
										lowercase						   =       activation_function
										lowercase						   =       initializer_factor
										lowercase						   =       layerdrop
										lowercase						   =       use_cache
										lowercase						   =       scale_embedding  # scale factor will be sqrt(d_model) if True
										lowercase						   =       num_codebooks
										super().__init__(
										    pad_token_id=_lowerCAmelCase      ,  bos_token_id=_lowerCAmelCase      ,  eos_token_id=_lowerCAmelCase      ,  tie_word_embeddings=_lowerCAmelCase      ,  **_lowerCAmelCase      ,  )




class 	a__       (       _snake_case       ):


					"""simple docstring"""



					A__  :				List[str]					 =				'''musicgen'''
					A__  :				Tuple					 =				True

					def __init__(		self     :int      ,  **lowercase__     :Optional[Any]    ):
										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'    )

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

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

										lowercase						   =       kwargs.pop('decoder'    )

										lowercase						   =       AutoConfig.for_model(_lowerCAmelCase      ,  **_lowerCAmelCase    )
										lowercase						   =       AutoConfig.for_model(_lowerCAmelCase      ,  **_lowerCAmelCase    )
										lowercase						   =       MusicgenDecoderConfig(**_lowerCAmelCase    )
										lowercase						   =       True

					@classmethod
					def 				__UpperCAmelCase		(		cls     :int      ,  lowercase__     :PretrainedConfig      ,  lowercase__     :PretrainedConfig      ,  lowercase__     :MusicgenDecoderConfig      ,  **lowercase__     :Dict      ,  ):
										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     :Dict    ):
										lowercase						   =       copy.deepcopy(self.__dict__    )
										lowercase						   =       self.text_encoder.to_dict()
										lowercase						   =       self.audio_encoder.to_dict()
										lowercase						   =       self.decoder.to_dict()
										lowercase						   =       self.__class__.model_type
										return output








from __future__ import annotations



def 	_a  (					__SCREAMING_SNAKE_CASE					:  list		,				__SCREAMING_SNAKE_CASE					:  list    ):






  """simple docstring"""




  _lowerCAmelCase						=		[None] * (len(__SCREAMING_SNAKE_CASE    ) + len(__SCREAMING_SNAKE_CASE    ))

  _lowerCAmelCase						=		0  # pointer to current index for left Half
  _lowerCAmelCase						=		0  # pointer to current index for the right Half
  _lowerCAmelCase						=		0  # pointer to current index for the sorted array Half

  while pointera < len(__SCREAMING_SNAKE_CASE    ) and pointera < len(__SCREAMING_SNAKE_CASE    ):
    if left_half[pointera] < right_half[pointera]:
      _lowerCAmelCase						=		left_half[pointera]
      pointera += 1
      index += 1
    else:
      _lowerCAmelCase						=		right_half[pointera]
      pointera += 1
      index += 1
  while pointera < len(__SCREAMING_SNAKE_CASE    ):
    _lowerCAmelCase						=		left_half[pointera]
    pointera += 1
    index += 1

  while pointera < len(__SCREAMING_SNAKE_CASE    ):
    _lowerCAmelCase						=		right_half[pointera]
    pointera += 1
    index += 1

  return sorted_array



def 	_a  (					__SCREAMING_SNAKE_CASE					:  list    ):






  """simple docstring"""




  if len(__SCREAMING_SNAKE_CASE    ) <= 1:
    return array
  # the actual formula to calculate the middle element = left + (right - left) // 2
  # this avoids integer overflow in case of large N
  _lowerCAmelCase						=		0 + (len(__SCREAMING_SNAKE_CASE    ) - 0) // 2

  # Split the array into halves till the array length becomes equal to One
  # merge the arrays of single length returned by mergeSort function and
  # pass them into the merge arrays function which merges the array
  _lowerCAmelCase						=		array[:middle]
  _lowerCAmelCase						=		array[middle:]

  return merge(merge_sort(__SCREAMING_SNAKE_CASE    )		,				merge_sort(__SCREAMING_SNAKE_CASE    )    )


if __name__ == "__main__":
       import doctest

       doctest.testmod()
