



"""simple docstring"""
import copy

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


__SCREAMING_SNAKE_CASE     :  Optional[int]										=					logging.get_logger(__name__)

__SCREAMING_SNAKE_CASE     :  Union[str, 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 							lowerCamelCase_(      A__			):





					'''simple docstring'''



					lowercase__      :				Tuple        =       'musicgen_decoder'
					lowercase__      :				List[str]        =       ['past_key_values']

					def __init__(			self ,				lowerCamelCase__=2_0_4_8 ,				lowerCamelCase__=2_0_4_8 ,				lowerCamelCase__=2_4 ,				lowerCamelCase__=4_0_9_6 ,				lowerCamelCase__=1_6 ,				lowerCamelCase__=0.0 ,				lowerCamelCase__=True ,				lowerCamelCase__="gelu" ,				lowerCamelCase__=1_0_2_4 ,				lowerCamelCase__=0.1 ,				lowerCamelCase__=0.0 ,				lowerCamelCase__=0.0 ,				lowerCamelCase__=0.0_2 ,				lowerCamelCase__=False ,				lowerCamelCase__=4 ,				lowerCamelCase__=2_0_4_8 ,				lowerCamelCase__=2_0_4_8 ,				lowerCamelCase__=None ,				lowerCamelCase__=False ,				**lowerCamelCase__ ,				):
									_lowerCamelCase					     = vocab_size
									_lowerCamelCase					     = max_position_embeddings
									_lowerCamelCase					     = hidden_size
									_lowerCamelCase					     = ffn_dim
									_lowerCamelCase					     = num_hidden_layers
									_lowerCamelCase					     = num_attention_heads
									_lowerCamelCase					     = dropout
									_lowerCamelCase					     = attention_dropout
									_lowerCamelCase					     = activation_dropout
									_lowerCamelCase					     = activation_function
									_lowerCamelCase					     = initializer_factor
									_lowerCamelCase					     = layerdrop
									_lowerCamelCase					     = use_cache
									_lowerCamelCase					     = scale_embedding  # scale factor will be sqrt(d_model) if True
									_lowerCamelCase					     = num_codebooks
									super().__init__(
									    pad_token_id=lowerCamelCase__ ,				bos_token_id=lowerCamelCase__ ,				eos_token_id=lowerCamelCase__ ,				tie_word_embeddings=lowerCamelCase__ ,				**lowerCamelCase__ ,				)


class 							lowerCamelCase_(      A__			):





					'''simple docstring'''



					lowercase__      :				Tuple        =       'musicgen'
					lowercase__      :				Dict        =       True

					def __init__(			self ,				**lowerCamelCase__      ):
									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'''      )

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

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

									_lowerCamelCase					     = kwargs.pop('''decoder'''      )

									_lowerCamelCase					     = AutoConfig.for_model(lowerCamelCase__ ,				**lowerCamelCase__      )
									_lowerCamelCase					     = AutoConfig.for_model(lowerCamelCase__ ,				**lowerCamelCase__      )
									_lowerCamelCase					     = MusicgenDecoderConfig(**lowerCamelCase__      )
									_lowerCamelCase					     = True

					@classmethod
					def 	snake_case__					(			cls ,				lowerCamelCase__ ,				lowerCamelCase__ ,				lowerCamelCase__ ,				**lowerCamelCase__ ,				):
									return cls(
									    text_encoder=text_encoder_config.to_dict() ,				audio_encoder=audio_encoder_config.to_dict() ,				decoder=decoder_config.to_dict() ,				**lowerCamelCase__ ,				)





					def 	snake_case__					(			self      ):
									_lowerCamelCase					     = copy.deepcopy(self.__dict__      )
									_lowerCamelCase					     = self.text_encoder.to_dict()
									_lowerCamelCase					     = self.audio_encoder.to_dict()
									_lowerCamelCase					     = self.decoder.to_dict()
									_lowerCamelCase					     = self.__class__.model_type
									return output








"""simple docstring"""







import sys

def _a (		_snake_case      ,       _snake_case							):







      """simple docstring"""






      if not numbers:
            return 0
      if target == 0 and target in numbers:
            return 0
      if not isinstance(_snake_case      ,       (list, tuple)							) or not all(
          isinstance(_snake_case      ,       _snake_case							) for number in numbers							):
            raise ValueError("""numbers must be an iterable of integers"""							)

      UpperCAmelCase							=       UpperCAmelCase							=       UpperCAmelCase							=       0
      UpperCAmelCase							=       sys.maxsize

      while right < len(_snake_case							):
            curr_sum += numbers[right]
            while curr_sum >= target and left <= right:
                  UpperCAmelCase							=       min(_snake_case      ,       right - left + 1							)
                  curr_sum -= numbers[left]
                  left += 1
            right += 1

      return 0 if min_len == sys.maxsize else min_len



