





import os
from shutil import copyfile
from typing import Optional, Tuple

from ...tokenization_utils_fast import PreTrainedTokenizerFast
from ...utils import is_sentencepiece_available, logging


if is_sentencepiece_available():
       from .tokenization_reformer import ReformerTokenizer
else:
       lowercase     :			str     						=	None


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


lowercase     :			Optional[int]     						=	"""▁"""

lowercase     :			Optional[int]     						=	{"""vocab_file""": """spiece.model""", """tokenizer_file""": """tokenizer.json"""}

lowercase     :			List[Any]     						=	{
    """vocab_file""": {
        """google/reformer-crime-and-punishment""": (
            """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/spiece.model"""
        )
    },
    """tokenizer_file""": {
        """google/reformer-crime-and-punishment""": (
            """https://huggingface.co/google/reformer-crime-and-punishment/resolve/main/tokenizer.json"""
        )
    },
}

lowercase     :			List[Any]     						=	{
    """google/reformer-crime-and-punishment""": 52_4288,
}

class 			__A(    _a			):
     __A							=							VOCAB_FILES_NAMES
     __A							=							PRETRAINED_VOCAB_FILES_MAP
     __A							=							PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __A							=							["""input_ids""", """attention_mask"""]
     __A							=							ReformerTokenizer

     def __init__(   self,							A=None,							A=None,							A="</s>",							A="<unk>",							A=[],							**A,							):





            """simple docstring"""

            super().__init__(
                snake_case_,							tokenizer_file=snake_case_,							eos_token=snake_case_,							unk_token=snake_case_,							additional_special_tokens=snake_case_,							**snake_case_,							)

            _UpperCamelCase														=    vocab_file
            _UpperCamelCase														=    False if not self.vocab_file else True



     def 						_UpperCamelCase  (   self,							A,							A = None   ):





            """simple docstring"""

            if not self.can_save_slow_tokenizer:
                   raise ValueError(
                       '''Your fast tokenizer does not have the necessary information to save the vocabulary for a slow '''
                       '''tokenizer.'''   )

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

            if os.path.abspath(self.vocab_file   ) != os.path.abspath(snake_case_   ):
                   copyfile(self.vocab_file,							snake_case_   )

            return (out_vocab_file,)














"""simple docstring"""





from math import gcd







def 	lowerCAmelCase_(			SCREAMING_SNAKE_CASE = 1_20_00       )       ->						int:
    """simple docstring"""

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


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




