


import json
from typing import List, Optional, Tuple

from tokenizers import normalizers

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import logging
from .tokenization_distilbert import DistilBertTokenizer


A   =			logging.get_logger(__name__)

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

A   =			{
    "vocab_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/vocab.txt",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/vocab.txt",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/vocab.txt"
        ),
        "distilbert-base-german-cased": "https://huggingface.co/distilbert-base-german-cased/resolve/main/vocab.txt",
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/vocab.txt"
        ),
    },
    "tokenizer_file": {
        "distilbert-base-uncased": "https://huggingface.co/distilbert-base-uncased/resolve/main/tokenizer.json",
        "distilbert-base-uncased-distilled-squad": (
            "https://huggingface.co/distilbert-base-uncased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-cased": "https://huggingface.co/distilbert-base-cased/resolve/main/tokenizer.json",
        "distilbert-base-cased-distilled-squad": (
            "https://huggingface.co/distilbert-base-cased-distilled-squad/resolve/main/tokenizer.json"
        ),
        "distilbert-base-german-cased": (
            "https://huggingface.co/distilbert-base-german-cased/resolve/main/tokenizer.json"
        ),
        "distilbert-base-multilingual-cased": (
            "https://huggingface.co/distilbert-base-multilingual-cased/resolve/main/tokenizer.json"
        ),
    },
}

A   =			{
    "distilbert-base-uncased": 512,
    "distilbert-base-uncased-distilled-squad": 512,
    "distilbert-base-cased": 512,
    "distilbert-base-cased-distilled-squad": 512,
    "distilbert-base-german-cased": 512,
    "distilbert-base-multilingual-cased": 512,
}


A   =			{
    "distilbert-base-uncased": {"do_lower_case": True},
    "distilbert-base-uncased-distilled-squad": {"do_lower_case": True},
    "distilbert-base-cased": {"do_lower_case": False},
    "distilbert-base-cased-distilled-squad": {"do_lower_case": False},
    "distilbert-base-german-cased": {"do_lower_case": False},
    "distilbert-base-multilingual-cased": {"do_lower_case": False},
}


class      lowercase__	(       __SCREAMING_SNAKE_CASE		):
  A__=	VOCAB_FILES_NAMES
  A__=	PRETRAINED_VOCAB_FILES_MAP
  A__=	PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
  A__=	PRETRAINED_INIT_CONFIGURATION
  A__=	['''input_ids''', '''attention_mask''']
  A__=	DistilBertTokenizer






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

         UpperCAmelCase__					    =  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
         ):
                UpperCAmelCase__					    =  getattr(_lowercase		,    normalizer_state.pop("type"			)			)
                UpperCAmelCase__					    =  do_lower_case
                UpperCAmelCase__					    =  strip_accents
                UpperCAmelCase__					    =  tokenize_chinese_chars
                UpperCAmelCase__					    =  normalizer_class(**_lowercase			)

         UpperCAmelCase__					    =  do_lower_case






  def       _UpperCAmelCase	(       self   :       str		,    _lowercase   :       Optional[Any]		,    _lowercase   :       List[Any]=None			):




         """simple docstring"""







         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       _UpperCAmelCase	(       self   :       Tuple		,    _lowercase   :       Optional[Any]		,    _lowercase   :       Any = None			):




         """simple docstring"""







         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       _UpperCAmelCase	(       self   :       Tuple		,    _lowercase   :       int		,    _lowercase   :       int = None			):




         """simple docstring"""







         UpperCAmelCase__					    =  self._tokenizer.model.save(_lowercase		,    name=_lowercase			)
         return tuple(_lowercase			)











'''simple docstring'''



def   lowercase__(			__UpperCamelCase:					int = 1_00_00_00    ):

      """simple docstring"""






      SCREAMING_SNAKE_CASE   :      Tuple    					=						[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      ,__UpperCamelCase    ):
                        phi[j] -= phi[j] // i

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


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


