
def   lowerCamelCase__							(					a		,		a      )      ->   list:
   _A:  List[str]					=       word.split()

   def justify(a		,		a		,		a      ) -> str:
      _A:  Tuple					=       max_width - width
      _A:  Any					=       len(a      )
      if len(a      ) == 1:
         # if there is only word in line
         # just insert overall_spaces_count for the remainder of line
         return line[0] + " " * overall_spaces_count
      else:
         _A:  Any					=       words_count - 1
         # num_spaces_between_words_list[i] : tells you to insert
         # num_spaces_between_words_list[i] spaces
         # after word on line[i]
         _A:  Union[str, Any]					=       spaces_to_insert_between_words * [
             overall_spaces_count // spaces_to_insert_between_words
         ]
         _A:  Tuple					=       (
             overall_spaces_count % spaces_to_insert_between_words
         )
         # distribute spaces via round robin to the left words
         for i in range(a      ):
            num_spaces_between_words_list[i] += 1
         _A:  int					=       []
         for i in range(a      ):
            # add the word
            aligned_words_list.append(line[i]      )
            # add the spaces to insert
            aligned_words_list.append(num_spaces_between_words_list[i] * ''' '''      )
         # just add the last word to the sentence
         aligned_words_list.append(line[-1]      )
         # join the aligned words list to form a justified line
         return "".join(a      )

   _A:  List[str]					=       []
   _A:  list[str]					=       []
   _A:  Any					=       0
   for word in words:
      if width + len(a      ) + len(a      ) <= max_width:
         # keep adding words until we can fill out max_width
         # width = sum of length of all words (without overall_spaces_count)
         # len(word) = length of current word
         # len(line) = number of overall_spaces_count to insert between words
         line.append(a      )
         width += len(a      )
      else:
         # justify the line and add it to result
         answer.append(justify(a		,		a		,		a      )      )
         # reset new line and new width
         _A			,  _A:  Union[str, Any]					=       [word], len(a      )
   _A:  Union[str, Any]					=       max_width - width - len(a      )
   answer.append(''' '''.join(a      ) + (remaining_spaces + 1) * ''' '''      )
   return answer


if __name__ == "__main__":
   from doctest import testmod

   testmod()





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_convbert import ConvBertTokenizer


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

UpperCAmelCase__		:     Dict     			=      {'vocab_file': 'vocab.txt'}

UpperCAmelCase__		:     List[Any]     			=      {
    'vocab_file': {
        'YituTech/conv-bert-base': 'https://huggingface.co/YituTech/conv-bert-base/resolve/main/vocab.txt',
        'YituTech/conv-bert-medium-small': (
            'https://huggingface.co/YituTech/conv-bert-medium-small/resolve/main/vocab.txt'
        ),
        'YituTech/conv-bert-small': 'https://huggingface.co/YituTech/conv-bert-small/resolve/main/vocab.txt',
    }
}

UpperCAmelCase__		:     Union[str, Any]     			=      {
    'YituTech/conv-bert-base': 512,
    'YituTech/conv-bert-medium-small': 512,
    'YituTech/conv-bert-small': 512,
}


UpperCAmelCase__		:     Dict     			=      {
    'YituTech/conv-bert-base': {'do_lower_case': True},
    'YituTech/conv-bert-medium-small': {'do_lower_case': True},
    'YituTech/conv-bert-small': {'do_lower_case': True},
}






class UpperCAmelCase   (						SCREAMING_SNAKE_CASE__   ):





   '''simple docstring'''
   __UpperCamelCase		:    Any 				=    VOCAB_FILES_NAMES
   __UpperCamelCase		:    Tuple 				=    PRETRAINED_VOCAB_FILES_MAP
   __UpperCamelCase		:    str 				=    PRETRAINED_INIT_CONFIGURATION
   __UpperCamelCase		:    int 				=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __UpperCamelCase		:    int 				=    ConvBertTokenizer


   def __init__(					self     :							Tuple			,			lowerCAmelCase_     :							int=None			,			lowerCAmelCase_     :							List[Any]=None			,			lowerCAmelCase_     :							Optional[Any]=True			,			lowerCAmelCase_     :							List[Any]="[UNK]"			,			lowerCAmelCase_     :							Optional[Any]="[SEP]"			,			lowerCAmelCase_     :							Optional[Any]="[PAD]"			,			lowerCAmelCase_     :							List[Any]="[CLS]"			,			lowerCAmelCase_     :							Optional[int]="[MASK]"			,			lowerCAmelCase_     :							Any=True			,			lowerCAmelCase_     :							List[str]=None			,			**lowerCAmelCase_     :							List[Any]			,			):

      """simple docstring"""
      super().__init__(
          lowerCAmelCase_			,			tokenizer_file=lowerCAmelCase_			,			do_lower_case=lowerCAmelCase_			,			unk_token=lowerCAmelCase_			,			sep_token=lowerCAmelCase_			,			pad_token=lowerCAmelCase_			,			cls_token=lowerCAmelCase_			,			mask_token=lowerCAmelCase_			,			tokenize_chinese_chars=lowerCAmelCase_			,			strip_accents=lowerCAmelCase_			,			**lowerCAmelCase_			,			)

      _A:  List[Any]					=       json.loads(self.backend_tokenizer.normalizer.__getstate__()     )
      if (
          normalizer_state.get('''lowercase'''			,			lowerCAmelCase_     ) != do_lower_case
          or normalizer_state.get('''strip_accents'''			,			lowerCAmelCase_     ) != strip_accents
          or normalizer_state.get('''handle_chinese_chars'''			,			lowerCAmelCase_     ) != tokenize_chinese_chars
      ):
         _A:  List[str]					=       getattr(lowerCAmelCase_			,			normalizer_state.pop('''type'''     )     )
         _A:  List[Any]					=       do_lower_case
         _A:  Optional[Any]					=       strip_accents
         _A:  Union[str, Any]					=       tokenize_chinese_chars
         _A:  Optional[int]					=       normalizer_class(**lowerCAmelCase_     )

      _A:  Optional[Any]					=       do_lower_case


   def  __magic_name__				(					self     :							str			,			lowerCAmelCase_     :							Tuple			,			lowerCAmelCase_     :							Union[str, Any]=None     ):

      """simple docstring"""
      _A:  Dict					=       [self.cls_token_id] + token_ids_a + [self.sep_token_id]

      if token_ids_a:
         output += token_ids_a + [self.sep_token_id]

      return output


   def  __magic_name__				(					self     :							Union[str, Any]			,			lowerCAmelCase_     :							List[int]			,			lowerCAmelCase_     :							Optional[List[int]] = None     ):

      """simple docstring"""
      _A:  Any					=       [self.sep_token_id]
      _A:  int					=       [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     ) * [0] + len(token_ids_a + sep     ) * [1]


   def  __magic_name__				(					self     :							int			,			lowerCAmelCase_     :							str			,			lowerCAmelCase_     :							Optional[str] = None     ):

      """simple docstring"""
      _A:  str					=       self._tokenizer.model.save(lowerCAmelCase_			,			name=lowerCAmelCase_     )
      return tuple(lowerCAmelCase_     )



