
'''simple docstring'''







import json
import os
from functools import lru_cache
from typing import List, Optional, Tuple

import regex as re

from ...tokenization_utils import AddedToken, PreTrainedTokenizer
from ...utils import logging


lowerCAmelCase_      =   logging.get_logger(__name__)

lowerCAmelCase_      =   {
    "vocab_file": "vocab.json",
    "merges_file": "merges.txt",
}

lowerCAmelCase_      =   {
    "vocab_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/vocab.json",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/vocab.json",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/vocab.json",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/vocab.json",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/vocab.json",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/vocab.json"
        ),
    },
    "merges_file": {
        "roberta-base": "https://huggingface.co/roberta-base/resolve/main/merges.txt",
        "roberta-large": "https://huggingface.co/roberta-large/resolve/main/merges.txt",
        "roberta-large-mnli": "https://huggingface.co/roberta-large-mnli/resolve/main/merges.txt",
        "distilroberta-base": "https://huggingface.co/distilroberta-base/resolve/main/merges.txt",
        "roberta-base-openai-detector": "https://huggingface.co/roberta-base-openai-detector/resolve/main/merges.txt",
        "roberta-large-openai-detector": (
            "https://huggingface.co/roberta-large-openai-detector/resolve/main/merges.txt"
        ),
    },
}

lowerCAmelCase_      =   {
    "roberta-base": 5_1_2,
    "roberta-large": 5_1_2,
    "roberta-large-mnli": 5_1_2,
    "distilroberta-base": 5_1_2,
    "roberta-base-openai-detector": 5_1_2,
    "roberta-large-openai-detector": 5_1_2,
}







@lru_cache()
def   lowerCAmelCase(  ):







       '''simple docstring'''






       lowerCamelCase__				   =      (
           list(range(ord("!"      )      , ord("~"      ) + 1      )      ) + list(range(ord("¡"      )      , ord("¬"      ) + 1      )      ) + list(range(ord("®"      )      , ord("ÿ"      ) + 1      )      )
       )
       lowerCamelCase__				   =      bs[:]
       lowerCamelCase__				   =      0
       for b in range(2**8      ):
              if b not in bs:
                     bs.append(a__      )
                     cs.append(2**8 + n      )
                     n += 1
       lowerCamelCase__				   =      [chr(a__      ) for n in cs]
       return dict(zip(a__      , a__      )      )







def   lowerCAmelCase(  a__    :  List[str]      ):







       '''simple docstring'''






       lowerCamelCase__				   =      set()
       lowerCamelCase__				   =      word[0]
       for char in word[1:]:
              pairs.add((prev_char, char)      )
              lowerCamelCase__				   =      char
       return pairs







class 		snake_case_       (						A__						):



   """simple docstring"""





   __lowerCAmelCase	:							Optional[int]								=VOCAB_FILES_NAMES
   __lowerCAmelCase	:							List[Any]								=PRETRAINED_VOCAB_FILES_MAP
   __lowerCAmelCase	:							Dict								=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
   __lowerCAmelCase	:							Any								=['''input_ids''', '''attention_mask''']







   def __init__( self			,   UpperCamelCase			,   UpperCamelCase			,   UpperCamelCase="replace"			,   UpperCamelCase="<s>"			,   UpperCamelCase="</s>"			,   UpperCamelCase="</s>"			,   UpperCamelCase="<s>"			,   UpperCamelCase="<unk>"			,   UpperCamelCase="<pad>"			,   UpperCamelCase="<mask>"			,   UpperCamelCase=False			,   **UpperCamelCase			,   ):
          lowerCamelCase__				   =      AddedToken(UpperCamelCase			,   lstrip=UpperCamelCase			,   rstrip=UpperCamelCase) if isinstance(UpperCamelCase			,   UpperCamelCase) else bos_token
          lowerCamelCase__				   =      AddedToken(UpperCamelCase			,   lstrip=UpperCamelCase			,   rstrip=UpperCamelCase) if isinstance(UpperCamelCase			,   UpperCamelCase) else eos_token
          lowerCamelCase__				   =      AddedToken(UpperCamelCase			,   lstrip=UpperCamelCase			,   rstrip=UpperCamelCase) if isinstance(UpperCamelCase			,   UpperCamelCase) else sep_token
          lowerCamelCase__				   =      AddedToken(UpperCamelCase			,   lstrip=UpperCamelCase			,   rstrip=UpperCamelCase) if isinstance(UpperCamelCase			,   UpperCamelCase) else cls_token
          lowerCamelCase__				   =      AddedToken(UpperCamelCase			,   lstrip=UpperCamelCase			,   rstrip=UpperCamelCase) if isinstance(UpperCamelCase			,   UpperCamelCase) else unk_token
          lowerCamelCase__				   =      AddedToken(UpperCamelCase			,   lstrip=UpperCamelCase			,   rstrip=UpperCamelCase) if isinstance(UpperCamelCase			,   UpperCamelCase) else pad_token

          # Mask token behave like a normal word, i.e. include the space before it
          lowerCamelCase__				   =      AddedToken(UpperCamelCase			,   lstrip=UpperCamelCase			,   rstrip=UpperCamelCase) if isinstance(UpperCamelCase			,   UpperCamelCase) else mask_token

          super().__init__(
              errors=UpperCamelCase			,   bos_token=UpperCamelCase			,   eos_token=UpperCamelCase			,   unk_token=UpperCamelCase			,   sep_token=UpperCamelCase			,   cls_token=UpperCamelCase			,   pad_token=UpperCamelCase			,   mask_token=UpperCamelCase			,   add_prefix_space=UpperCamelCase			,   **UpperCamelCase			,   )

          with open(UpperCamelCase			,   encoding="utf-8") as vocab_handle:
                 lowerCamelCase__				   =      json.load(UpperCamelCase)
          lowerCamelCase__				   =      {v: k for k, v in self.encoder.items()}
          lowerCamelCase__				   =      errors  # how to handle errors in decoding
          lowerCamelCase__				   =      bytes_to_unicode()
          lowerCamelCase__				   =      {v: k for k, v in self.byte_encoder.items()}
          with open(UpperCamelCase			,   encoding="utf-8") as merges_handle:
                 lowerCamelCase__				   =      merges_handle.read().split("\n")[1:-1]
          lowerCamelCase__				   =      [tuple(merge.split()) for merge in bpe_merges]
          lowerCamelCase__				   =      dict(zip(UpperCamelCase			,   range(len(UpperCamelCase))))
          lowerCamelCase__				   =      {}
          lowerCamelCase__				   =      add_prefix_space

          # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
          lowerCamelCase__				   =      re.compile(r"'s|'t|'re|'ve|'m|'ll|'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+")







   @property
   def     __UpperCAmelCase      ( self):
          return len(self.encoder)







   def     __UpperCAmelCase      ( self):
          return dict(self.encoder			,   **self.added_tokens_encoder)







   def     __UpperCAmelCase      ( self			,   UpperCamelCase):
          if token in self.cache:
                 return self.cache[token]
          lowerCamelCase__				   =      tuple(UpperCamelCase)
          lowerCamelCase__				   =      get_pairs(UpperCamelCase)

          if not pairs:
                 return token

          while True:
                 lowerCamelCase__				   =      min(UpperCamelCase			,   key=lambda UpperCamelCase: self.bpe_ranks.get(UpperCamelCase			,   float("inf")))
                 if bigram not in self.bpe_ranks:
                        break
                 lowerCamelCase__   ,		lowerCamelCase__				   =      bigram
                 lowerCamelCase__				   =      []
                 lowerCamelCase__				   =      0
                 while i < len(UpperCamelCase):
                        try:
                               lowerCamelCase__				   =      word.index(UpperCamelCase			,   UpperCamelCase)
                        except ValueError:
                               new_word.extend(word[i:])
                               break
                        else:
                               new_word.extend(word[i:j])
                               lowerCamelCase__				   =      j

                        if word[i] == first and i < len(UpperCamelCase) - 1 and word[i + 1] == second:
                               new_word.append(first + second)
                               i += 2
                        else:
                               new_word.append(word[i])
                               i += 1
                 lowerCamelCase__				   =      tuple(UpperCamelCase)
                 lowerCamelCase__				   =      new_word
                 if len(UpperCamelCase) == 1:
                        break
                 else:
                        lowerCamelCase__				   =      get_pairs(UpperCamelCase)
          lowerCamelCase__				   =      " ".join(UpperCamelCase)
          lowerCamelCase__				   =      word
          return word







   def     __UpperCAmelCase      ( self			,   UpperCamelCase):
          lowerCamelCase__				   =      []
          for token in re.findall(self.pat			,   UpperCamelCase):
                 lowerCamelCase__				   =      "".join(
                     self.byte_encoder[b] for b in token.encode("utf-8"))  # Maps all our bytes to unicode strings, avoiding control tokens of the BPE (spaces in our case)
                 bpe_tokens.extend(bpe_token for bpe_token in self.bpe(UpperCamelCase).split(" "))
          return bpe_tokens







   def     __UpperCAmelCase      ( self			,   UpperCamelCase):
          return self.encoder.get(UpperCamelCase			,   self.encoder.get(self.unk_token))







   def     __UpperCAmelCase      ( self			,   UpperCamelCase):
          return self.decoder.get(UpperCamelCase)







   def     __UpperCAmelCase      ( self			,   UpperCamelCase):
          lowerCamelCase__				   =      "".join(UpperCamelCase)
          lowerCamelCase__				   =      bytearray([self.byte_decoder[c] for c in text]).decode("utf-8"			,   errors=self.errors)
          return text







   def     __UpperCAmelCase      ( self			,   UpperCamelCase			,   UpperCamelCase = None):
          if not os.path.isdir(UpperCamelCase):
                 logger.error(f"""Vocabulary path ({save_directory}) should be a directory""")
                 return
          lowerCamelCase__				   =      os.path.join(
              UpperCamelCase			,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"])
          lowerCamelCase__				   =      os.path.join(
              UpperCamelCase			,   (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["merges_file"])

          with open(UpperCamelCase			,   "w"			,   encoding="utf-8") as f:
                 f.write(json.dumps(self.encoder			,   indent=2			,   sort_keys=UpperCamelCase			,   ensure_ascii=UpperCamelCase) + "\n")

          lowerCamelCase__				   =      0
          with open(UpperCamelCase			,   "w"			,   encoding="utf-8") as writer:
                 writer.write("#version: 0.2\n")
                 for bpe_tokens, token_index in sorted(self.bpe_ranks.items()			,   key=lambda UpperCamelCase: kv[1]):
                        if index != token_index:
                               logger.warning(
                                   f"""Saving vocabulary to {merge_file}: BPE merge indices are not consecutive."""
                                   " Please check that the tokenizer is not corrupted!")
                               lowerCamelCase__				   =      token_index
                        writer.write(" ".join(UpperCamelCase) + "\n")
                        index += 1

          return vocab_file, merge_file







   def     __UpperCAmelCase      ( self			,   UpperCamelCase			,   UpperCamelCase = None):
          if token_ids_a is None:
                 return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
          lowerCamelCase__				   =      [self.cls_token_id]
          lowerCamelCase__				   =      [self.sep_token_id]
          return cls + token_ids_a + sep + sep + token_ids_a + sep







   def     __UpperCAmelCase      ( self			,   UpperCamelCase			,   UpperCamelCase = None			,   UpperCamelCase = False):
          if already_has_special_tokens:
                 return super().get_special_tokens_mask(
                     token_ids_a=UpperCamelCase			,   token_ids_a=UpperCamelCase			,   already_has_special_tokens=UpperCamelCase)

          if token_ids_a is None:
                 return [1] + ([0] * len(UpperCamelCase)) + [1]
          return [1] + ([0] * len(UpperCamelCase)) + [1, 1] + ([0] * len(UpperCamelCase)) + [1]







   def     __UpperCAmelCase      ( self			,   UpperCamelCase			,   UpperCamelCase = None):
          lowerCamelCase__				   =      [self.sep_token_id]
          lowerCamelCase__				   =      [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 + sep + token_ids_a + sep) * [0]







   def     __UpperCAmelCase      ( self			,   UpperCamelCase			,   UpperCamelCase=False			,   **UpperCamelCase):
          lowerCamelCase__				   =      kwargs.pop("add_prefix_space"			,   self.add_prefix_space)
          if (is_split_into_words or add_prefix_space) and (len(UpperCamelCase) > 0 and not text[0].isspace()):
                 lowerCamelCase__				   =      " " + text
          return (text, kwargs)



'''simple docstring'''







def   lowerCAmelCase(  a__    :  int = 1000      ):







       '''simple docstring'''






       lowerCamelCase__				   =      0
       for i in range(a__      ):
              if i % 3 == 0 or i % 5 == 0:
                     result += i
       return result


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

