




"""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


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

A_      =    {
    '''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'''
        ),
    },
}

A_      =    {
    '''unc-nlp/lxmert-base-uncased''': 5_12,
}

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






class  lowercase(					__a			):







 '''simple docstring'''





 lowercase__			 = VOCAB_FILES_NAMES
 lowercase__			 = PRETRAINED_VOCAB_FILES_MAP
 lowercase__			 = PRETRAINED_INIT_CONFIGURATION
 lowercase__			 = PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
 lowercase__			 = LxmertTokenizer


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




   '''simple docstring'''



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

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

   _snake_case							:		int								=  do_lower_case


 def 			UpperCamelCase_       (    self:		List[Any],				a_:		Tuple,				a_:		List[Any]=None		):




   '''simple docstring'''



   _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 			UpperCamelCase_       (    self:		str,				a_:		List[int],				a_:		Optional[List[int]] = None		):




   '''simple docstring'''



   _snake_case							:		Optional[Any]								=  [self.sep_token_id]
   _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 			UpperCamelCase_       (    self:		Dict,				a_:		str,				a_:		Optional[str] = None		):




   '''simple docstring'''



   _snake_case							:		Union[str, Any]								=  self._tokenizer.model.save(a_,				name=a_		)
   return tuple(a_		)








"""simple docstring"""


def  UpperCAmelCase__	(snake_case__							: int = 1_00_00_00   ):
  """simple docstring"""

  _snake_case							:		Dict								=  [i - 1 for i in range(limit + 1   )]

  for i in range(2		,       limit + 1   ):
    if phi[i] == i - 1:
      for j in range(2 * i		,       limit + 1		,       snake_case__   ):
        phi[j] -= phi[j] // i

  return sum(phi[2 : limit + 1]   )


if __name__ == "__main__":
     print(solution())


