



"""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_retribert import RetriBertTokenizer


A:   List[str]								=		logging.get_logger(__name__)

A:   Any								=		{"vocab_file": "vocab.txt", "tokenizer_file": "tokenizer.json"}

A:   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"
        ),
    },
}

A:   Dict								=		{
    "yjernite/retribert-base-uncased": 5_1_2,
}


A:   Dict								=		{
    "yjernite/retribert-base-uncased": {"do_lower_case": True},
}



class       SCREAMING_SNAKE_CASE__  (					UpperCAmelCase__ ):
   __lowerCAmelCase  :   Any						=						VOCAB_FILES_NAMES
   __lowerCAmelCase  :   str						=						PRETRAINED_VOCAB_FILES_MAP
   __lowerCAmelCase  :   Dict						=						PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __lowerCAmelCase  :   Any						=						PRETRAINED_INIT_CONFIGURATION
   __lowerCAmelCase  :   Any						=						RetriBertTokenizer
   __lowerCAmelCase  :   Any						=						['input_ids', 'attention_mask']

   def __init__(   self      ,     _SCREAMING_SNAKE_CASE=None      ,     _SCREAMING_SNAKE_CASE=None      ,     _SCREAMING_SNAKE_CASE=True      ,     _SCREAMING_SNAKE_CASE="[UNK]"      ,     _SCREAMING_SNAKE_CASE="[SEP]"      ,     _SCREAMING_SNAKE_CASE="[PAD]"      ,     _SCREAMING_SNAKE_CASE="[CLS]"      ,     _SCREAMING_SNAKE_CASE="[MASK]"      ,     _SCREAMING_SNAKE_CASE=True      ,     _SCREAMING_SNAKE_CASE=None      ,     **_SCREAMING_SNAKE_CASE      ,     )  ->      Dict:





    '''simple docstring'''




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

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

    UpperCAmelCase	:					Optional[int]	=	do_lower_case

   def 	SCREAMING_SNAKE_CASE     (   self      ,     _SCREAMING_SNAKE_CASE      ,     _SCREAMING_SNAKE_CASE=None						)  ->      Union[str, Any]:





    '''simple docstring'''




    UpperCAmelCase	:					Union[str, 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 	SCREAMING_SNAKE_CASE     (   self      ,     _SCREAMING_SNAKE_CASE      ,     _SCREAMING_SNAKE_CASE = None						)  ->      List[int]:





    '''simple docstring'''




    UpperCAmelCase	:					str	=	[self.sep_token_id]
    UpperCAmelCase	:					Tuple	=	[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 	SCREAMING_SNAKE_CASE     (   self      ,     _SCREAMING_SNAKE_CASE      ,     _SCREAMING_SNAKE_CASE = None						)  ->      Tuple[str]:





    '''simple docstring'''




    UpperCAmelCase	:					Tuple	=	self._tokenizer.model.save(_SCREAMING_SNAKE_CASE      ,     name=_SCREAMING_SNAKE_CASE						)
    return tuple(_SCREAMING_SNAKE_CASE						)





"""simple docstring"""
from math import isqrt, loga

def       _snake_case						(						UpperCamelCase						:		int						):
 UpperCAmelCase	:					Any	=	[True] * max_number
 for i in range(2			,		isqrt(max_number - 1						) + 1						):
  if is_prime[i]:
   for j in range(i**2			,		UpperCamelCase			,		UpperCamelCase						):
    UpperCAmelCase	:					str	=	False

 return [i for i in range(2			,		UpperCamelCase						) if is_prime[i]]

def       _snake_case						(						UpperCamelCase						:		int = 800800			,		UpperCamelCase						:		int = 800800						):
 UpperCAmelCase	:					Union[str, Any]	=	degree * loga(UpperCamelCase						)
 UpperCAmelCase	:					int	=	int(UpperCamelCase						)
 UpperCAmelCase	:					Union[str, Any]	=	calculate_prime_numbers(UpperCamelCase						)

 UpperCAmelCase	:					Dict	=	0
 UpperCAmelCase	:					Optional[int]	=	0
 UpperCAmelCase	:					Dict	=	len(UpperCamelCase						) - 1
 while left < right:
  while (
      prime_numbers[right] * loga(prime_numbers[left]						)
      + prime_numbers[left] * loga(prime_numbers[right]						)
      > upper_bound
  ):
   right -= 1
  hybrid_integers_count += right - left
  left += 1

 return hybrid_integers_count


if __name__ == "__main__":
      print(f"""{solution() = }""")
