

from typing import Dict, List, Optional, Tuple

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


UpperCamelCase__     :					Tuple								=			logging.get_logger(__name__)



class 					__snake_case     (			lowerCAmelCase__				):
  __lowerCAmelCase   :		List[str]         =     ['input_ids', 'attention_mask']

  def __init__(    self  ,						_A="[PAD]"  ,						_A="[BOS]"  ,						_A="[EOS]"  ,						_A="[MASK]"  ,						_A="[CLS]"  ,						_A="[SEP]"  ,						_A=2048  ,						**_A  ,						):
      SCREAMING_SNAKE_CASE_													=  AddedToken(_A  ,						lstrip=_A  ,						rstrip=_A) if isinstance(_A  ,						_A) else pad_token
      SCREAMING_SNAKE_CASE_													=  AddedToken(_A  ,						lstrip=_A  ,						rstrip=_A) if isinstance(_A  ,						_A) else bos_token
      SCREAMING_SNAKE_CASE_													=  AddedToken(_A  ,						lstrip=_A  ,						rstrip=_A) if isinstance(_A  ,						_A) else eos_token
      SCREAMING_SNAKE_CASE_													=  AddedToken(_A  ,						lstrip=_A  ,						rstrip=_A) if isinstance(_A  ,						_A) else mask_token
      SCREAMING_SNAKE_CASE_													=  AddedToken(_A  ,						lstrip=_A  ,						rstrip=_A) if isinstance(_A  ,						_A) else cls_token
      SCREAMING_SNAKE_CASE_													=  AddedToken(_A  ,						lstrip=_A  ,						rstrip=_A) if isinstance(_A  ,						_A) else sep_token

      super().__init__(
          pad_token=_A  ,						bos_token=_A  ,						eos_token=_A  ,						mask_token=_A  ,						cls_token=_A  ,						sep_token=_A  ,						model_max_length=_A  ,						**_A  ,						)

      SCREAMING_SNAKE_CASE_													=  2**8  # utf is 8 bits

      # define special tokens dict
      SCREAMING_SNAKE_CASE_													=  {
          self.pad_token: 0,
          self.bos_token: 1,
          self.eos_token: 2,
          self.mask_token: 3,
          self.cls_token: 4,
          self.sep_token: 5,
      }
      SCREAMING_SNAKE_CASE_													=  len(self.special_tokens_encoder)
      SCREAMING_SNAKE_CASE_													=  {v: k for k, v in self.special_tokens_encoder.items()}

  def   lowerCAmelCase__   (    self):
      SCREAMING_SNAKE_CASE_													=  self.special_tokens_encoder.copy()
      vocab.update(self.added_tokens_encoder)
      for i in range(self._utf_vocab_size):
          SCREAMING_SNAKE_CASE_													=  chr(_A)
          SCREAMING_SNAKE_CASE_													=  i + len(self.special_tokens_encoder)
      return vocab

  @property
  def   lowerCAmelCase__   (    self):
      return self._utf_vocab_size + self._num_special_tokens

  def   lowerCAmelCase__   (    self  ,						_A  ,						_A = None  ,						_A = False):
      if already_has_special_tokens:
          return super().get_special_tokens_mask(
              token_ids_a=_A  ,						token_ids_a=_A  ,						already_has_special_tokens=_A)

      # normal case: some special tokens
      if token_ids_a is None:
          return [1] + [0] * len(_A) + [1]
      return [1] + ([0] * len(_A)) + [1] + ([0] * len(_A)) + [1]

  def   lowerCAmelCase__   (    self  ,						_A  ,						_A = None):
      if token_ids_a is None:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
      else:
          return [self.cls_token_id] + token_ids_a + [self.sep_token_id] + token_ids_a + [self.sep_token_id]

  def   lowerCAmelCase__   (    self  ,						_A):
      SCREAMING_SNAKE_CASE_													=  [chr(_A) for i in text.encode('utf-8')]
      return tokens

  def   lowerCAmelCase__   (    self  ,						_A):
      if token in self.special_tokens_encoder:
          SCREAMING_SNAKE_CASE_													=  self.special_tokens_encoder[token]
      elif token in self.added_tokens_encoder:
          SCREAMING_SNAKE_CASE_													=  self.added_tokens_encoder[token]
      elif len(_A) != 1:
          SCREAMING_SNAKE_CASE_													=  self.unk_token_id
      else:
          SCREAMING_SNAKE_CASE_													=  ord(_A) + self._num_special_tokens
      return token_id

  def   lowerCAmelCase__   (    self  ,						_A):
      if index in self.special_tokens_decoder:
          SCREAMING_SNAKE_CASE_													=  self.special_tokens_decoder[index]
      elif index in self.added_tokens_decoder:
          SCREAMING_SNAKE_CASE_													=  self.added_tokens_decoder[index]
      else:
          SCREAMING_SNAKE_CASE_													=  chr(index - self._num_special_tokens)
      return token

  def   lowerCAmelCase__   (    self  ,						_A):
      SCREAMING_SNAKE_CASE_													=  b''
      for token in tokens:
          if token in self.special_tokens_decoder:
              SCREAMING_SNAKE_CASE_													=  self.special_tokens_decoder[token].encode('utf-8')
          elif token in self.added_tokens_decoder:
              SCREAMING_SNAKE_CASE_													=  self.special_tokens_decoder[token].encode('utf-8')
          elif token in self.special_tokens_encoder:
              SCREAMING_SNAKE_CASE_													=  token.encode('utf-8')
          elif token in self.added_tokens_encoder:
              SCREAMING_SNAKE_CASE_													=  token.encode('utf-8')
          else:
              SCREAMING_SNAKE_CASE_													=  bytes([ord(_A)])
          bstring += tok_string
      SCREAMING_SNAKE_CASE_													=  bstring.decode('utf-8'  ,						errors='replace')
      return string


  def   lowerCAmelCase__   (    self  ,						_A  ,						_A = None):
      return ()





import copy

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


UpperCamelCase__     :					Optional[Any]								=			logging.get_logger(__name__)

UpperCamelCase__     :					List[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 					__snake_case     (			lowerCAmelCase__				):
  __lowerCAmelCase   :		Any         =     'musicgen_decoder'
  __lowerCAmelCase   :		Optional[Any]         =     ['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  ,						):
      SCREAMING_SNAKE_CASE_													=  vocab_size
      SCREAMING_SNAKE_CASE_													=  max_position_embeddings
      SCREAMING_SNAKE_CASE_													=  hidden_size
      SCREAMING_SNAKE_CASE_													=  ffn_dim
      SCREAMING_SNAKE_CASE_													=  num_hidden_layers
      SCREAMING_SNAKE_CASE_													=  num_attention_heads
      SCREAMING_SNAKE_CASE_													=  dropout
      SCREAMING_SNAKE_CASE_													=  attention_dropout
      SCREAMING_SNAKE_CASE_													=  activation_dropout
      SCREAMING_SNAKE_CASE_													=  activation_function
      SCREAMING_SNAKE_CASE_													=  initializer_factor
      SCREAMING_SNAKE_CASE_													=  layerdrop
      SCREAMING_SNAKE_CASE_													=  use_cache
      SCREAMING_SNAKE_CASE_													=  scale_embedding  # scale factor will be sqrt(d_model) if True
      SCREAMING_SNAKE_CASE_													=  num_codebooks
      super().__init__(
          pad_token_id=_A  ,						bos_token_id=_A  ,						eos_token_id=_A  ,						tie_word_embeddings=_A  ,						**_A  ,						)






class 					__snake_case     (			lowerCAmelCase__				):
  __lowerCAmelCase   :		int         =     'musicgen'
  __lowerCAmelCase   :		Optional[Any]         =     True

  def __init__(    self  ,						**_A):
      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_													=  kwargs.pop('text_encoder')
      SCREAMING_SNAKE_CASE_													=  text_encoder_config.pop('model_type')

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

      SCREAMING_SNAKE_CASE_													=  kwargs.pop('decoder')

      SCREAMING_SNAKE_CASE_													=  AutoConfig.for_model(_A  ,						**_A)
      SCREAMING_SNAKE_CASE_													=  AutoConfig.for_model(_A  ,						**_A)
      SCREAMING_SNAKE_CASE_													=  MusicgenDecoderConfig(**_A)
      SCREAMING_SNAKE_CASE_													=  True

  @classmethod
  def   lowerCAmelCase__   (    cls  ,						_A  ,						_A  ,						_A  ,						**_A  ,						):
      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):
      SCREAMING_SNAKE_CASE_													=  copy.deepcopy(self.__dict__)
      SCREAMING_SNAKE_CASE_													=  self.text_encoder.to_dict()
      SCREAMING_SNAKE_CASE_													=  self.audio_encoder.to_dict()
      SCREAMING_SNAKE_CASE_													=  self.decoder.to_dict()
      SCREAMING_SNAKE_CASE_													=  self.__class__.model_type
      return output


