

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_12,
    """roberta-large""": 5_12,
    """roberta-large-mnli""": 5_12,
    """distilroberta-base""": 5_12,
    """roberta-base-openai-detector""": 5_12,
    """roberta-large-openai-detector""": 5_12,
}







@lru_cache()
def      snake_case__							(  ):





     """simple docstring"""







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







def      snake_case__							(  lowerCAmelCase_     ):





     """simple docstring"""







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



class 						a_			(				__A	):



      """simple docstring"""







      __UpperCAmelCase     						= VOCAB_FILES_NAMES
      __UpperCAmelCase     						= PRETRAINED_VOCAB_FILES_MAP
      __UpperCAmelCase     						= PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
      __UpperCAmelCase     						= ['input_ids', 'attention_mask']
      def __init__( self	:				Optional[Any]     ,snake_case	:				int     ,snake_case	:				Dict     ,snake_case	:				Any="replace"     ,snake_case	:				List[str]="<s>"     ,snake_case	:				Union[str, Any]="</s>"     ,snake_case	:				int="</s>"     ,snake_case	:				int="<s>"     ,snake_case	:				int="<unk>"     ,snake_case	:				Dict="<pad>"     ,snake_case	:				Union[str, Any]="<mask>"     ,snake_case	:				str=False     ,**snake_case	:				int     ,):
           SCREAMING_SNAKE_CASE 		=AddedToken(A_     ,lstrip=A_     ,rstrip=A_							) if isinstance(A_     ,A_							) else bos_token
           SCREAMING_SNAKE_CASE 		=AddedToken(A_     ,lstrip=A_     ,rstrip=A_							) if isinstance(A_     ,A_							) else eos_token
           SCREAMING_SNAKE_CASE 		=AddedToken(A_     ,lstrip=A_     ,rstrip=A_							) if isinstance(A_     ,A_							) else sep_token
           SCREAMING_SNAKE_CASE 		=AddedToken(A_     ,lstrip=A_     ,rstrip=A_							) if isinstance(A_     ,A_							) else cls_token
           SCREAMING_SNAKE_CASE 		=AddedToken(A_     ,lstrip=A_     ,rstrip=A_							) if isinstance(A_     ,A_							) else unk_token
           SCREAMING_SNAKE_CASE 		=AddedToken(A_     ,lstrip=A_     ,rstrip=A_							) if isinstance(A_     ,A_							) else pad_token

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

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

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

           # Should have added re.IGNORECASE so BPE merges can happen for capitalized versions of contractions
           SCREAMING_SNAKE_CASE 		=re.compile(r'\'s|\'t|\'re|\'ve|\'m|\'ll|\'d| ?\p{L}+| ?\p{N}+| ?[^\s\p{L}\p{N}]+|\s+(?!\S)|\s+'							)
      @property
      def 			_lowerCAmelCase	( self	:				Dict							):
           return len(self.encoder							)
      def 			_lowerCAmelCase	( self	:				List[Any]							):
           return dict(self.encoder     ,**self.added_tokens_encoder							)
      def 			_lowerCAmelCase	( self	:				List[str]     ,snake_case	:				str							):



           if token in self.cache:
                return self.cache[token]
           SCREAMING_SNAKE_CASE 		=tuple(A_							)
           SCREAMING_SNAKE_CASE 		=get_pairs(A_							)

           if not pairs:
                return token

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

                     if word[i] == first and i < len(A_							) - 1 and word[i + 1] == second:
                          new_word.append(first + second							)
                          i += 2
                     else:
                          new_word.append(word[i]							)
                          i += 1
                SCREAMING_SNAKE_CASE 		=tuple(A_							)
                SCREAMING_SNAKE_CASE 		=new_word
                if len(A_							) == 1:
                     break
                else:
                     SCREAMING_SNAKE_CASE 		=get_pairs(A_							)
           SCREAMING_SNAKE_CASE 		=' '.join(A_							)
           SCREAMING_SNAKE_CASE 		=word
           return word
      def 			_lowerCAmelCase	( self	:				Any     ,snake_case	:				Union[str, Any]							):
           SCREAMING_SNAKE_CASE 		=[]
           for token in re.findall(self.pat     ,A_							):
                SCREAMING_SNAKE_CASE 		=''.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(A_							).split(' '							)							)
           return bpe_tokens
      def 			_lowerCAmelCase	( self	:				Optional[Any]     ,snake_case	:				Union[str, Any]							):
           return self.encoder.get(A_     ,self.encoder.get(self.unk_token							)							)
      def 			_lowerCAmelCase	( self	:				Union[str, Any]     ,snake_case	:				str							):
           return self.decoder.get(A_							)
      def 			_lowerCAmelCase	( self	:				List[Any]     ,snake_case	:				List[str]							):
           SCREAMING_SNAKE_CASE 		=''.join(A_							)
           SCREAMING_SNAKE_CASE 		=bytearray([self.byte_decoder[c] for c in text]							).decode('utf-8'     ,errors=self.errors							)
           return text
      def 			_lowerCAmelCase	( self	:				List[str]     ,snake_case	:				Any     ,snake_case	:				Optional[Any] = None							):



           if not os.path.isdir(A_							):
                logger.error(f'Vocabulary path ({save_directory}) should be a directory'							)
                return
           SCREAMING_SNAKE_CASE 		=os.path.join(
               A_     ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file']							)
           SCREAMING_SNAKE_CASE 		=os.path.join(
               A_     ,(filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['merges_file']							)

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

           SCREAMING_SNAKE_CASE 		=0
           with open(A_     ,'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 snake_case							: 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!'							)
                          SCREAMING_SNAKE_CASE 		=token_index
                     writer.write(' '.join(A_							) + '\n'							)
                     index += 1

           return vocab_file, merge_file
      def 			_lowerCAmelCase	( self	:				int     ,snake_case	:				Union[str, Any]     ,snake_case	:				Optional[Any] = None							):



           if token_ids_a is None:
                return [self.cls_token_id] + token_ids_a + [self.sep_token_id]
           SCREAMING_SNAKE_CASE 		=[self.cls_token_id]
           SCREAMING_SNAKE_CASE 		=[self.sep_token_id]
           return cls + token_ids_a + sep + sep + token_ids_a + sep
      def 			_lowerCAmelCase	( self	:				Tuple     ,snake_case	:				List[Any]     ,snake_case	:				Optional[Any] = None     ,snake_case	:				Tuple = False							):



           if already_has_special_tokens:
                return super().get_special_tokens_mask(
                    token_ids_a=A_     ,token_ids_a=A_     ,already_has_special_tokens=A_							)

           if token_ids_a is None:
                return [1] + ([0] * len(A_							)) + [1]
           return [1] + ([0] * len(A_							)) + [1, 1] + ([0] * len(A_							)) + [1]
      def 			_lowerCAmelCase	( self	:				Union[str, Any]     ,snake_case	:				str     ,snake_case	:				Optional[Any] = None							):
           SCREAMING_SNAKE_CASE 		=[self.sep_token_id]
           SCREAMING_SNAKE_CASE 		=[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 			_lowerCAmelCase	( self	:				str     ,snake_case	:				Dict     ,snake_case	:				int=False     ,**snake_case	:				List[Any]							):
           SCREAMING_SNAKE_CASE 		=kwargs.pop('add_prefix_space'     ,self.add_prefix_space							)
           if (is_split_into_words or add_prefix_space) and (len(A_							) > 0 and not text[0].isspace()):
                SCREAMING_SNAKE_CASE 		=' ' + text
           return (text, kwargs)






"""simple docstring"""






from math import gcd


def 							A__ (     UpperCamelCase__ = 12_000    ):


  '''simple docstring'''


  _SCREAMING_SNAKE_CASE        =			0
  for d in range(max_d + 1    ):
    for n in range(d // 3 + 1       ,							(d + 1) // 2    ):
      if gcd(UpperCamelCase__       ,							UpperCamelCase__    ) == 1:
        fractions_number += 1
  return fractions_number


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