

"""simple docstring"""



import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from .tokenization_lxmert import LxmertTokenizer


SCREAMING_SNAKE_CASE_					:	List[str]							  =						{'vocab_file': 'vocab.txt', 'tokenizer_file': 'tokenizer.json'}

SCREAMING_SNAKE_CASE_					:	Dict							  =						{
    'vocab_file': {
        'unc-nlp/lxmert-base-uncased': 'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/vocab.txt',
    },
    'tokenizer_file': {
        'unc-nlp/lxmert-base-uncased': (
            'https://huggingface.co/unc-nlp/lxmert-base-uncased/resolve/main/tokenizer.json'
        ),
    },
}

SCREAMING_SNAKE_CASE_					:	List[Any]							  =						{
    'unc-nlp/lxmert-base-uncased': 5_1_2,
}

SCREAMING_SNAKE_CASE_					:	int							  =						{
    'unc-nlp/lxmert-base-uncased': {'do_lower_case': True},
}



class 					a						(       snake_case__				):



    """simple docstring"""



    UpperCAmelCase						 =					VOCAB_FILES_NAMES
    UpperCAmelCase						 =					PRETRAINED_VOCAB_FILES_MAP
    UpperCAmelCase						 =					PRETRAINED_INIT_CONFIGURATION
    UpperCAmelCase						 =					PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
    UpperCAmelCase						 =					LxmertTokenizer

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






         """simple docstring"""


         super().__init__(
             lowercase_    ,						tokenizer_file=lowercase_    ,						do_lower_case=lowercase_    ,						unk_token=lowercase_    ,						sep_token=lowercase_    ,						pad_token=lowercase_    ,						cls_token=lowercase_    ,						mask_token=lowercase_    ,						tokenize_chinese_chars=lowercase_    ,						strip_accents=lowercase_    ,						**lowercase_    ,						)

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

         A__										=  do_lower_case

    def 				UpperCamelCase	(     self: Tuple    ,						UpperCamelCase: Optional[Any]    ,						UpperCamelCase: int=None       ):






         """simple docstring"""


         A__										=  [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: List[str]    ,						UpperCamelCase: Optional[Any]    ,						UpperCamelCase: List[Any] = None       ):






         """simple docstring"""


         A__										=  [self.sep_token_id]
         A__										=  [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: List[Any]    ,						UpperCamelCase: int    ,						UpperCamelCase: str = None       ):






         """simple docstring"""


         A__										=  self._tokenizer.model.save(lowercase_    ,						name=lowercase_       )
         return tuple(lowercase_       )









"""simple docstring"""



def  _snake_case     (    UpperCAmelCase_  :					Optional[Any]					,   UpperCAmelCase_  :					Optional[Any]			):
     A__										=  [0 for i in range(r + 1			)]
     # nc0 = 1
     A__										=  1
     for i in range(1					,   n + 1			):
          # to compute current row from previous row.
          A__										=  min(UpperCAmelCase_					,   UpperCAmelCase_			)
          while j > 0:
               c[j] += c[j - 1]
               j -= 1
     return c[r]

print(binomial_coefficient(n=1_0, r=5))






