




from typing import Dict, List, Optional, Tuple

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


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

class   UpperCAmelCase    (      A ):
   __SCREAMING_SNAKE_CASE		:				Dict      					=       ["input_ids", "attention_mask"]






   def __init__(						self :							Dict    ,       UpperCamelCase_ :							int="[PAD]"    ,       UpperCamelCase_ :							List[str]="[BOS]"    ,       UpperCamelCase_ :							Tuple="[EOS]"    ,       UpperCamelCase_ :							Union[str, Any]="[MASK]"    ,       UpperCamelCase_ :							Union[str, Any]="[CLS]"    ,       UpperCamelCase_ :							Dict="[SEP]"    ,       UpperCamelCase_ :							Optional[int]=20_48    ,       **UpperCamelCase_ :							Optional[int]    ,       )->      None:
     _lowercase:			Union[str, Any]      =     AddedToken(UpperCamelCase_    ,       lstrip=UpperCamelCase_    ,       rstrip=UpperCamelCase_  ) if isinstance(UpperCamelCase_    ,       UpperCamelCase_  ) else pad_token
     _lowercase:			str      =     AddedToken(UpperCamelCase_    ,       lstrip=UpperCamelCase_    ,       rstrip=UpperCamelCase_  ) if isinstance(UpperCamelCase_    ,       UpperCamelCase_  ) else bos_token
     _lowercase:			List[str]      =     AddedToken(UpperCamelCase_    ,       lstrip=UpperCamelCase_    ,       rstrip=UpperCamelCase_  ) if isinstance(UpperCamelCase_    ,       UpperCamelCase_  ) else eos_token
     _lowercase:			Dict      =     AddedToken(UpperCamelCase_    ,       lstrip=UpperCamelCase_    ,       rstrip=UpperCamelCase_  ) if isinstance(UpperCamelCase_    ,       UpperCamelCase_  ) else mask_token
     _lowercase:			Optional[int]      =     AddedToken(UpperCamelCase_    ,       lstrip=UpperCamelCase_    ,       rstrip=UpperCamelCase_  ) if isinstance(UpperCamelCase_    ,       UpperCamelCase_  ) else cls_token
     _lowercase:			List[Any]      =     AddedToken(UpperCamelCase_    ,       lstrip=UpperCamelCase_    ,       rstrip=UpperCamelCase_  ) if isinstance(UpperCamelCase_    ,       UpperCamelCase_  ) else sep_token

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

     _lowercase:			Dict      =     2**8  # utf is 8 bits

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






   def 			_a    (						self :							List[str]  )->      Dict[str, int]:
     _lowercase:			Union[str, Any]      =     self.special_tokens_encoder.copy()
     vocab.update(self.added_tokens_encoder  )
     for i in range(self._utf_vocab_size  ):
       _lowercase:			Any      =     chr(UpperCamelCase_  )
       _lowercase:			int      =     i + len(self.special_tokens_encoder  )
     return vocab






   @property
   def 			_a    (						self :							str  )->      Any:
     return self._utf_vocab_size + self._num_special_tokens






   def 			_a    (						self :							Any    ,       UpperCamelCase_ :							List[int]    ,       UpperCamelCase_ :							Optional[List[int]] = None    ,       UpperCamelCase_ :							bool = False  )->      List[int]:
     if already_has_special_tokens:
       return super().get_special_tokens_mask(
           token_ids_a=UpperCamelCase_    ,       token_ids_a=UpperCamelCase_    ,       already_has_special_tokens=UpperCamelCase_  )

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






   def 			_a    (						self :							Dict    ,       UpperCamelCase_ :							List[int]    ,       UpperCamelCase_ :							Optional[List[int]] = None  )->      List[int]:
     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 			_a    (						self :							List[str]    ,       UpperCamelCase_ :							str  )->      List[str]:
     _lowercase:			List[str]      =     [chr(UpperCamelCase_  ) for i in text.encode('utf-8'  )]
     return tokens






   def 			_a    (						self :							List[Any]    ,       UpperCamelCase_ :							str  )->      List[str]:
     if token in self.special_tokens_encoder:
       _lowercase:			List[str]      =     self.special_tokens_encoder[token]
     elif token in self.added_tokens_encoder:
       _lowercase:			Any      =     self.added_tokens_encoder[token]
     elif len(UpperCamelCase_  ) != 1:
       _lowercase:			Dict      =     self.unk_token_id
     else:
       _lowercase:			Tuple      =     ord(UpperCamelCase_  ) + self._num_special_tokens
     return token_id






   def 			_a    (						self :							List[Any]    ,       UpperCamelCase_ :							Dict  )->      Union[str, Any]:
     if index in self.special_tokens_decoder:
       _lowercase:			Union[str, Any]      =     self.special_tokens_decoder[index]
     elif index in self.added_tokens_decoder:
       _lowercase:			Union[str, Any]      =     self.added_tokens_decoder[index]
     else:
       _lowercase:			Any      =     chr(index - self._num_special_tokens  )
     return token






   def 			_a    (						self :							Any    ,       UpperCamelCase_ :							Union[str, Any]  )->      str:
     _lowercase:			Dict      =     b''
     for token in tokens:
       if token in self.special_tokens_decoder:
         _lowercase:			Dict      =     self.special_tokens_decoder[token].encode('utf-8'  )
       elif token in self.added_tokens_decoder:
         _lowercase:			List[str]      =     self.special_tokens_decoder[token].encode('utf-8'  )
       elif token in self.special_tokens_encoder:
         _lowercase:			Tuple      =     token.encode('utf-8'  )
       elif token in self.added_tokens_encoder:
         _lowercase:			Dict      =     token.encode('utf-8'  )
       else:
         _lowercase:			List[str]      =     bytes([ord(UpperCamelCase_  )]  )
       bstring += tok_string
     _lowercase:			Tuple      =     bstring.decode('utf-8'    ,       errors='replace'  )
     return string






   def 			_a    (						self :							int    ,       UpperCamelCase_ :							str    ,       UpperCamelCase_ :							Optional[str] = None  )->      Tuple[str]:
     return ()






from typing import Optional

from ..utils.logging import get_logger
from .audio_classificiation import AudioClassification
from .automatic_speech_recognition import AutomaticSpeechRecognition
from .base import TaskTemplate
from .image_classification import ImageClassification
from .language_modeling import LanguageModeling
from .question_answering import QuestionAnsweringExtractive
from .summarization import Summarization
from .text_classification import TextClassification


UpperCAmelCase__    :							Tuple       		=     [
    'AutomaticSpeechRecognition',
    'AudioClassification',
    'ImageClassification',
    'LanguageModeling',
    'QuestionAnsweringExtractive',
    'Summarization',
    'TaskTemplate',
    'TextClassification',
]

UpperCAmelCase__    :							Tuple       		=     get_logger(__name__)


UpperCAmelCase__    :							List[Any]       		=     {
    AutomaticSpeechRecognition.task: AutomaticSpeechRecognition,
    AudioClassification.task: AudioClassification,
    ImageClassification.task: ImageClassification,
    LanguageModeling.task: LanguageModeling,
    QuestionAnsweringExtractive.task: QuestionAnsweringExtractive,
    Summarization.task: Summarization,
    TextClassification.task: TextClassification,
}


def 		_lowerCamelCase					(       UpperCamelCase				)      ->		Optional[TaskTemplate]:





  """simple docstring"""





  _lowercase:			Union[str, Any]      =     task_template_dict.get('task'				)
  if task_name is None:
    logger.warning(F'Couldn\'t find template for task \'{task_name}\'. Available templates: {list(UpperCamelCase				)}'				)
    return None
  _lowercase:			int      =     NAMEaTEMPLATE.get(UpperCamelCase				)
  return template.from_dict(UpperCamelCase				)
