





import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ....tokenization_utils_fast import PreTrainedTokenizerFast
from ....utils import logging
from .tokenization_retribert import RetriBertTokenizer


lowerCAmelCase							:       Optional[int]					 =	logging.get_logger(__name__)

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

lowerCAmelCase							:       List[str]					 =	{
    """vocab_file""": {
        """yjernite/retribert-base-uncased""": (
            """https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/vocab.txt"""
        ),
    },
    """tokenizer_file""": {
        """yjernite/retribert-base-uncased""": (
            """https://huggingface.co/yjernite/retribert-base-uncased/resolve/main/tokenizer.json"""
        ),
    },
}

lowerCAmelCase							:       List[Any]					 =	{
    """yjernite/retribert-base-uncased""": 512,
}


lowerCAmelCase							:       Tuple					 =	{
    """yjernite/retribert-base-uncased""": {"""do_lower_case""": True},
}





class 				a			(      __lowercase			):
				SCREAMING_SNAKE_CASE__     :   List[Any]		      =     VOCAB_FILES_NAMES
				SCREAMING_SNAKE_CASE__     :   Any		      =     PRETRAINED_VOCAB_FILES_MAP
				SCREAMING_SNAKE_CASE__     :   List[str]		      =     PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
				SCREAMING_SNAKE_CASE__     :   Optional[Any]		      =     PRETRAINED_INIT_CONFIGURATION
				SCREAMING_SNAKE_CASE__     :   List[str]		      =     RetriBertTokenizer
				SCREAMING_SNAKE_CASE__     :   Tuple		      =     ['''input_ids''', '''attention_mask''']






				def __init__(  self			, _lowerCAmelCase=None			, _lowerCAmelCase=None			, _lowerCAmelCase=True			, _lowerCAmelCase="[UNK]"			, _lowerCAmelCase="[SEP]"			, _lowerCAmelCase="[PAD]"			, _lowerCAmelCase="[CLS]"			, _lowerCAmelCase="[MASK]"			, _lowerCAmelCase=True			, _lowerCAmelCase=None			, **_lowerCAmelCase			, ):

										"""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			, )

										__SCREAMING_SNAKE_CASE:				Dict           =   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
										):
																__SCREAMING_SNAKE_CASE:				str           =   getattr(_lowerCAmelCase			, normalizer_state.pop('''type'''					)					)
																__SCREAMING_SNAKE_CASE:				Tuple           =   do_lower_case
																__SCREAMING_SNAKE_CASE:				str           =   strip_accents
																__SCREAMING_SNAKE_CASE:				Union[str, Any]           =   tokenize_chinese_chars
																__SCREAMING_SNAKE_CASE:				int           =   normalizer_class(**_lowerCAmelCase					)

										__SCREAMING_SNAKE_CASE:				int           =   do_lower_case






				def 			snake_case_    (  self			, _lowerCAmelCase			, _lowerCAmelCase=None					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				List[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 			snake_case_    (  self			, _lowerCAmelCase			, _lowerCAmelCase = None					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				List[Any]           =   [self.sep_token_id]
										__SCREAMING_SNAKE_CASE:				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 			snake_case_    (  self			, _lowerCAmelCase			, _lowerCAmelCase = None					):

										"""simple docstring"""




										__SCREAMING_SNAKE_CASE:				Optional[int]           =   self._tokenizer.model.save(_lowerCAmelCase			, name=_lowerCAmelCase					)
										return tuple(_lowerCAmelCase					)










def 		lowerCAmelCase  (	UpperCamelCase__   :   List[Any]       ,			UpperCamelCase__   :   Dict					)      ->    List[Any]:

						"""simple docstring"""





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




print(binomial_coefficient(n=10, r=5))



