




import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_squeezebert import SqueezeBertTokenizer


_lowerCamelCase      			=						logging.get_logger(__name__)

_lowerCamelCase      			=						{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

_lowerCamelCase      			=						{
    'vocab_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/vocab.txt'
        ),
        'squeezebert/squeezebert-mnli': 'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/vocab.txt',
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/vocab.txt'
        ),
    },
    'tokenizer_file': {
        'squeezebert/squeezebert-uncased': (
            'https://huggingface.co/squeezebert/squeezebert-uncased/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli': (
            'https://huggingface.co/squeezebert/squeezebert-mnli/resolve/main/tokenizer.json'
        ),
        'squeezebert/squeezebert-mnli-headless': (
            'https://huggingface.co/squeezebert/squeezebert-mnli-headless/resolve/main/tokenizer.json'
        ),
    },
}

_lowerCamelCase      			=						{
    'squeezebert/squeezebert-uncased': 5_12,
    'squeezebert/squeezebert-mnli': 5_12,
    'squeezebert/squeezebert-mnli-headless': 5_12,
}


_lowerCamelCase      			=						{
    'squeezebert/squeezebert-uncased': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli': {'do_lower_case': True},
    'squeezebert/squeezebert-mnli-headless': {'do_lower_case': True},
}



class       a					(       _A      ):

     '''simple docstring'''





     lowerCAmelCase    :	int       		=  VOCAB_FILES_NAMES
     lowerCAmelCase    :	List[str]       		=  PRETRAINED_VOCAB_FILES_MAP
     lowerCAmelCase    :	List[Any]       		=  PRETRAINED_INIT_CONFIGURATION
     lowerCAmelCase    :	Any       		=  PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     lowerCAmelCase    :	List[Any]       		=  SqueezeBertTokenizer
     def __init__(     self       :      List[Any] ,   __snake_case       :      Any=None ,   __snake_case       :      List[str]=None ,   __snake_case       :      List[Any]=True ,   __snake_case       :      Union[str, Any]="[UNK]" ,   __snake_case       :      List[str]="[SEP]" ,   __snake_case       :      Dict="[PAD]" ,   __snake_case       :      Any="[CLS]" ,   __snake_case       :      Dict="[MASK]" ,   __snake_case       :      str=True ,   __snake_case       :      List[str]=None ,   **__snake_case       :      Optional[int] ,   ):
         super().__init__(
             __snake_case ,   tokenizer_file=__snake_case ,   do_lower_case=__snake_case ,   unk_token=__snake_case ,   sep_token=__snake_case ,   pad_token=__snake_case ,   cls_token=__snake_case ,   mask_token=__snake_case ,   tokenize_chinese_chars=__snake_case ,   strip_accents=__snake_case ,   **__snake_case ,   )

         UpperCAmelCase_										=					json.loads(self.backend_tokenizer.normalizer.__getstate__()    )
         if (
             normalizer_state.get('''lowercase''' ,   __snake_case    ) != do_lower_case
             or normalizer_state.get('''strip_accents''' ,   __snake_case    ) != strip_accents
             or normalizer_state.get('''handle_chinese_chars''' ,   __snake_case    ) != tokenize_chinese_chars
         ):
             UpperCAmelCase_										=					getattr(__snake_case ,   normalizer_state.pop('''type'''    )    )
             UpperCAmelCase_										=					do_lower_case
             UpperCAmelCase_										=					strip_accents
             UpperCAmelCase_										=					tokenize_chinese_chars
             UpperCAmelCase_										=					normalizer_class(**__snake_case    )

         UpperCAmelCase_										=					do_lower_case
     def   lowerCamelCase_       (     self       :      int ,   __snake_case       :      Dict ,   __snake_case       :      List[Any]=None    ):
         UpperCAmelCase_										=					[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   lowerCamelCase_       (     self       :      List[str] ,   __snake_case       :      List[int] ,   __snake_case       :      Optional[List[int]] = None    ):
         UpperCAmelCase_										=					[self.sep_token_id]
         UpperCAmelCase_										=					[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   lowerCamelCase_       (     self       :      Optional[int] ,   __snake_case       :      str ,   __snake_case       :      Optional[str] = None    ):
         UpperCAmelCase_										=					self._tokenizer.model.save(__snake_case ,   name=__snake_case    )
         return tuple(__snake_case    )











def  SCREAMING_SNAKE_CASE     (	__UpperCamelCase      :						Optional[Any]				)  ->							Union[str, Any]:
    UpperCAmelCase_										=					len(__UpperCamelCase				)
    while cur > 1:
        # Find the maximum number in arr
        UpperCAmelCase_										=					arr.index(max(arr[0:cur]				)				)
        # Reverse from 0 to mi
        UpperCAmelCase_										=					arr[mi::-1] + arr[mi + 1 : len(__UpperCamelCase				)]
        # Reverse whole list
        UpperCAmelCase_										=					arr[cur - 1 :: -1] + arr[cur : len(__UpperCamelCase				)]
        cur -= 1
    return arr


if __name__ == "__main__":
 _lowerCamelCase      			=						input('Enter numbers separated by a comma:\n').strip()
 _lowerCamelCase      			=						[int(item) for item in user_input.split(',')]
 print(pancake_sort(unsorted))





