


"""simple docstring"""


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


__snake_case    					=					logging.get_logger(__name__)

__snake_case    					=					{'vocab_file': 'vocab.txt'}

__snake_case    					=					{
    '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',
    }
}

__snake_case    					=					{
    'YituTech/conv-bert-base': 512,
    'YituTech/conv-bert-medium-small': 512,
    'YituTech/conv-bert-small': 512,
}


__snake_case    					=					{
    '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 				_SCREAMING_SNAKE_CASE				(							__UpperCAmelCase  ):
   """simple docstring"""



   _a   :       Tuple									=    VOCAB_FILES_NAMES
   _a   :       str									=    PRETRAINED_VOCAB_FILES_MAP
   _a   :       Dict									=    PRETRAINED_INIT_CONFIGURATION
   _a   :       List[Any]									=    PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   _a   :       List[Any]									=    ConvBertTokenizer


   def __init__(						self ,     lowerCamelCase__=None ,     lowerCamelCase__=None ,     lowerCamelCase__=True ,     lowerCamelCase__="[UNK]" ,     lowerCamelCase__="[SEP]" ,     lowerCamelCase__="[PAD]" ,     lowerCamelCase__="[CLS]" ,     lowerCamelCase__="[MASK]" ,     lowerCamelCase__=True ,     lowerCamelCase__=None ,     **lowerCamelCase__ ,     )      ->							Optional[int]:
    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__ ,     )

    lowercase__       :       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
    ):
     lowercase__       :       Tuple				=						getattr(lowerCamelCase__ ,     normalizer_state.pop("""type"""						)						)
     lowercase__       :       str				=						do_lower_case
     lowercase__       :       List[str]				=						strip_accents
     lowercase__       :       Optional[Any]				=						tokenize_chinese_chars
     lowercase__       :       int				=						normalizer_class(**lowerCamelCase__						)

    lowercase__       :       str				=						do_lower_case


   def 					UpperCAmelCase__(						self ,     lowerCamelCase__ ,     lowerCamelCase__=None						)      ->							Dict:
    lowercase__       :       Any				=						[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 					UpperCAmelCase__(						self ,     lowerCamelCase__ ,     lowerCamelCase__ = None						)      ->							List[int]:
    lowercase__       :       Tuple				=						[self.sep_token_id]
    lowercase__       :       Optional[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						) * [0] + len(token_ids_a + sep						) * [1]







   def 					UpperCAmelCase__(						self ,     lowerCamelCase__ ,     lowerCamelCase__ = None						)      ->							Tuple[str]:
    lowercase__       :       Optional[Any]				=						self._tokenizer.model.save(lowerCamelCase__ ,     name=lowerCamelCase__						)
    return tuple(lowerCamelCase__						)



"""simple docstring"""


import random


def    _lowerCamelCase   (     lowerCamelCase__	:							Tuple       ,		lowerCamelCase__	:							Dict       ,		lowerCamelCase__	:							str  ):
 lowercase__       :       List[Any]				=						a[left_index]
 lowercase__       :       List[Any]				=						left_index + 1
 for j in range(left_index + 1       ,		lowerCamelCase__  ):
  if a[j] < pivot:
   lowercase__	,       lowercase__       :       Dict				=						a[i], a[j]
   i += 1
 lowercase__	,       lowercase__       :       Any				=						a[i - 1], a[left_index]
 return i - 1


def    _lowerCamelCase   (     lowerCamelCase__	:							int       ,		lowerCamelCase__	:							Tuple       ,		lowerCamelCase__	:							Optional[int]  ):
 if left < right:
  lowercase__       :       str				=						random.randint(lowerCamelCase__       ,		right - 1  )
  lowercase__	,       lowercase__       :       Any				=						(
      a[left],
      a[pivot],
  )  # switches the pivot with the left most bound
  lowercase__       :       str				=						partition(lowerCamelCase__       ,		lowerCamelCase__       ,		lowerCamelCase__  )
  quick_sort_random(
      lowerCamelCase__       ,		lowerCamelCase__       ,		lowerCamelCase__  )  # recursive quicksort to the left of the pivot point
  quick_sort_random(
      lowerCamelCase__       ,		pivot_index + 1       ,		lowerCamelCase__  )  # recursive quicksort to the right of the pivot point


def    _lowerCamelCase   (     ):
 lowercase__       :       List[Any]				=						input("""Enter numbers separated by a comma:\n"""  ).strip()
 lowercase__       :       int				=						[int(lowerCamelCase__  ) for item in user_input.split(""","""  )]

 quick_sort_random(lowerCamelCase__       ,		0       ,		len(lowerCamelCase__  )  )

 print(lowerCamelCase__  )


if __name__ == "__main__":
   main()