




'''simple docstring'''






import copy

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


lowercase	:      List[str]				=       logging.get_logger(__name__)

lowercase	:      Any				=       {
    '''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   SCREAMING_SNAKE_CASE_		(       lowerCamelCase_				):
 __snake_case	:     Any			   =      "musicgen_decoder"
 __snake_case	:     Tuple			   =      ["past_key_values"]



 def __init__(  self   ,		A=2048   ,		A=2048   ,		A=24   ,		A=4096   ,		A=16   ,		A=0.0   ,		A=True   ,		A="gelu"   ,		A=1024   ,		A=0.1   ,		A=0.0   ,		A=0.0   ,		A=0.0_2   ,		A=False   ,		A=4   ,		A=2048   ,		A=2048   ,		A=None   ,		A=False   ,		**A   ,		):






        '''simple docstring'''




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






class   SCREAMING_SNAKE_CASE_		(       lowerCamelCase_				):
 __snake_case	:     Optional[Any]			   =      "musicgen"
 __snake_case	:     List[str]			   =      True



 def __init__(  self   ,		**A ):






        '''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''' )

        lowercase  :		Union[str, Any]						=      kwargs.pop('''text_encoder''' )
        lowercase  :		Dict						=      text_encoder_config.pop('''model_type''' )

        lowercase  :		List[str]						=      kwargs.pop('''audio_encoder''' )
        lowercase  :		Dict						=      audio_encoder_config.pop('''model_type''' )

        lowercase  :		List[str]						=      kwargs.pop('''decoder''' )

        lowercase  :		List[Any]						=      AutoConfig.for_model(A   ,		**A )
        lowercase  :		Optional[Any]						=      AutoConfig.for_model(A   ,		**A )
        lowercase  :		Tuple						=      MusicgenDecoderConfig(**A )
        lowercase  :		List[str]						=      True



 @classmethod
 def    SCREAMING_SNAKE_CASE(  cls   ,		A   ,		A   ,		A   ,		**A   ,		):






        '''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    SCREAMING_SNAKE_CASE(  self ):






        '''simple docstring'''




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










'''simple docstring'''






import math
from timeit import timeit




def 		a_( lowerCamelCase      )				->int:






       '''simple docstring'''




       lowercase  :		Dict						=      0
       lowercase  :		Union[str, Any]						=      abs(lowerCamelCase      )
       while True:
              lowercase  :		List[Any]						=      n // 10
              digits += 1
              if n == 0:
                     break
       return digits




def 		a_( lowerCamelCase      )				->int:






       '''simple docstring'''




       return 1 if n == 0 else math.floor(math.log(abs(lowerCamelCase      )   ,				10      ) + 1      )




def 		a_( lowerCamelCase      )				->int:






       '''simple docstring'''




       return len(str(abs(lowerCamelCase      )      )      )




def 		a_( )				->None:






       '''simple docstring'''




       from collections.abc import Callable

       def benchmark_a_function(lowerCamelCase   ,				lowerCamelCase      ) -> None:
              lowercase  :		str						=      f"""{func.__name__}({value})"""
              lowercase  :		Optional[Any]						=      timeit(f"""__main__.{call}"""   ,				setup='''import __main__'''      )
              print(f"""{call}: {func(lowerCamelCase      )} -- {timing} seconds"""      )

       for value in (26_2144, 1125_8999_0684_2624, 126_7650_6002_2822_9401_4967_0320_5376):
              for func in (num_digits, num_digits_fast, num_digits_faster):
                     benchmark_a_function(lowerCamelCase   ,				lowerCamelCase      )
              print()


if __name__ == "__main__":
      import doctest

      doctest.testmod()
      benchmark()




