


'''simple docstring'''



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils import AddedToken
from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_mpnet import MPNetTokenizer


__UpperCAmelCase			:List[Any] 				=   logging.get_logger(__name__)

__UpperCAmelCase			:Union[str, Any] 				=   {'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

__UpperCAmelCase			:int 				=   {
    'vocab_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'microsoft/mpnet-base': 'https://huggingface.co/microsoft/mpnet-base/resolve/main/tokenizer.json',
    },
}

__UpperCAmelCase			:str 				=   {
    'microsoft/mpnet-base': 5_1_2,
}

__UpperCAmelCase			:int 				=   {
    'microsoft/mpnet-base': {'do_lower_case': True},
}



class 	a				(		snake_case_       ):


     """simple docstring"""






     SCREAMING_SNAKE_CASE       : Optional[Any]							   =   VOCAB_FILES_NAMES
     SCREAMING_SNAKE_CASE       : List[Any]							   =   PRETRAINED_VOCAB_FILES_MAP
     SCREAMING_SNAKE_CASE       : Union[str, Any]							   =   PRETRAINED_INIT_CONFIGURATION
     SCREAMING_SNAKE_CASE       : Dict							   =   PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     SCREAMING_SNAKE_CASE       : Optional[Any]							   =   MPNetTokenizer
     SCREAMING_SNAKE_CASE       : Dict							   =   ["input_ids", "attention_mask"]

     def __init__(				self     :		Tuple							, snake_case     :		Union[str, Any]=None							, snake_case     :		Optional[int]=None							, snake_case     :		Optional[int]=True							, snake_case     :		Tuple="<s>"							, snake_case     :		int="</s>"							, snake_case     :		Optional[int]="</s>"							, snake_case     :		Dict="<s>"							, snake_case     :		Optional[Any]="[UNK]"							, snake_case     :		Dict="<pad>"							, snake_case     :		Optional[int]="<mask>"							, snake_case     :		Tuple=True							, snake_case     :		str=None							, **snake_case     :		Tuple							, )						->							str:
          super().__init__(
              A_							, tokenizer_file=A_							, do_lower_case=A_							, bos_token=A_							, eos_token=A_							, sep_token=A_							, cls_token=A_							, unk_token=A_							, pad_token=A_							, mask_token=A_							, tokenize_chinese_chars=A_							, strip_accents=A_							, **A_							, )

          __UpperCAmelCase	: Tuple  							=			json.loads(self.backend_tokenizer.normalizer.__getstate__()			)
          if (
              pre_tok_state.get('''lowercase'''							, A_			) != do_lower_case
              or pre_tok_state.get('''strip_accents'''							, A_			) != strip_accents
          ):
               __UpperCAmelCase	: Tuple  							=			getattr(A_							, pre_tok_state.pop('''type'''			)			)
               __UpperCAmelCase	: Optional[Any]  							=			do_lower_case
               __UpperCAmelCase	: Optional[int]  							=			strip_accents
               __UpperCAmelCase	: Union[str, Any]  							=			pre_tok_class(**A_			)

          __UpperCAmelCase	: Tuple  							=			do_lower_case

     @property
     def  lowerCamelCase__ (				self     :		int			)						->							str:






          if self._mask_token is None:
               if self.verbose:
                    logger.error('''Using mask_token, but it is not set yet.'''			)
               return None
          return str(self._mask_token			)

     @mask_token.setter
     def  lowerCamelCase__ (				self     :		List[str]							, snake_case     :		int			)						->							int:
          __UpperCAmelCase	: Union[str, Any]  							=			AddedToken(A_							, lstrip=A_							, rstrip=A_			) if isinstance(A_							, A_			) else value
          __UpperCAmelCase	: List[str]  							=			value

     def  lowerCamelCase__ (				self     :		int							, snake_case     :		List[Any]							, snake_case     :		str=None			)						->							int:
          __UpperCAmelCase	: List[Any]  							=			[self.bos_token_id] + token_ids_a + [self.eos_token_id]
          if token_ids_a is None:
               return output

          return output + [self.eos_token_id] + token_ids_a + [self.eos_token_id]

     def  lowerCamelCase__ (				self     :		List[Any]							, snake_case     :		List[str]							, snake_case     :		Union[str, Any] = None			)						->							List[int]:
          __UpperCAmelCase	: Dict  							=			[self.sep_token_id]
          __UpperCAmelCase	: List[Any]  							=			[self.cls_token_id]

          if token_ids_a is None:
               return len(cls + token_ids_a + sep			) * [0]
          return len(cls + token_ids_a + sep + sep + token_ids_a + sep			) * [0]






     def  lowerCamelCase__ (				self     :		Optional[Any]							, snake_case     :		Dict							, snake_case     :		Any = None			)						->							Tuple[str]:
          __UpperCAmelCase	: Optional[int]  							=			self._tokenizer.model.save(A_							, name=A_			)
          return tuple(A_			)

'''simple docstring'''
import copy

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


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

lowerCAmelCase :  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        SCREAMING_SNAKE_CASE__	(			snake_case_):
				lowerCAmelCase_			       =				"""musicgen_decoder"""
				lowerCAmelCase_			       =				["""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_=0.02		,							A_=False		,							A_=4		,							A_=2048		,							A_=2048		,							A_=None		,							A_=False		,							**A_		,							)->						Any:







											'''simple docstring'''






											UpperCamelCase					       =			vocab_size
											UpperCamelCase					       =			max_position_embeddings
											UpperCamelCase					       =			hidden_size
											UpperCamelCase					       =			ffn_dim
											UpperCamelCase					       =			num_hidden_layers
											UpperCamelCase					       =			num_attention_heads
											UpperCamelCase					       =			dropout
											UpperCamelCase					       =			attention_dropout
											UpperCamelCase					       =			activation_dropout
											UpperCamelCase					       =			activation_function
											UpperCamelCase					       =			initializer_factor
											UpperCamelCase					       =			layerdrop
											UpperCamelCase					       =			use_cache
											UpperCamelCase					       =			scale_embedding  # scale factor will be sqrt(d_model) if True
											UpperCamelCase					       =			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__	(			snake_case_):
				lowerCAmelCase_			       =				"""musicgen"""
				lowerCAmelCase_			       =				True







				def __init__(    self		,							**A_			)->						Union[str, Any]:







											'''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'			)

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

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

											UpperCamelCase					       =			kwargs.pop('decoder'			)

											UpperCamelCase					       =			AutoConfig.for_model(A_		,							**A_			)
											UpperCamelCase					       =			AutoConfig.for_model(A_		,							**A_			)
											UpperCamelCase					       =			MusicgenDecoderConfig(**A_			)
											UpperCamelCase					       =			True







				@classmethod
				def 		UpperCAmelCase_  (    cls		,							A_		,							A_		,							A_		,							**A_		,							)->						Tuple:







											'''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 		UpperCAmelCase_  (    self			)->						Optional[Any]:







											'''simple docstring'''






											UpperCamelCase					       =			copy.deepcopy(self.__dict__			)
											UpperCamelCase					       =			self.text_encoder.to_dict()
											UpperCamelCase					       =			self.audio_encoder.to_dict()
											UpperCamelCase					       =			self.decoder.to_dict()
											UpperCamelCase					       =			self.__class__.model_type
											return output




