






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:
      __UpperCAmelCase      				=							None


__UpperCAmelCase      				=							logging.get_logger(__name__)


__UpperCAmelCase      				=							'''▁'''

__UpperCAmelCase      				=							{'''vocab_file''': '''spiece.model''', '''tokenizer_file''': '''tokenizer.json'''}

__UpperCAmelCase      				=							{
    '''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'''
        )
    },
}

__UpperCAmelCase      				=							{
    '''google/reformer-crime-and-punishment''': 5_2_4_2_8_8,
}
class 					a_(						__lowerCAmelCase					):



     """simple docstring"""



     __snake_case						:							str       			=VOCAB_FILES_NAMES
     __snake_case						:							Any       			=PRETRAINED_VOCAB_FILES_MAP
     __snake_case						:							Any       			=PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     __snake_case						:							Any       			=['''input_ids''', '''attention_mask''']
     __snake_case						:							Optional[int]       			=ReformerTokenizer





     def __init__(						self			:					List[Any]       ,       lowerCAmelCase__			:					Tuple=None       ,       lowerCAmelCase__			:					str=None       ,       lowerCAmelCase__			:					List[str]="</s>"       ,       lowerCAmelCase__			:					Tuple="<unk>"       ,       lowerCAmelCase__			:					Optional[int]=[]       ,       **lowerCAmelCase__			:					Dict       ,       )    ->					List[Any]:

      """simple docstring"""
      super().__init__(
          __SCREAMING_SNAKE_CASE       ,       tokenizer_file=__SCREAMING_SNAKE_CASE       ,       eos_token=__SCREAMING_SNAKE_CASE       ,       unk_token=__SCREAMING_SNAKE_CASE       ,       additional_special_tokens=__SCREAMING_SNAKE_CASE       ,       **__SCREAMING_SNAKE_CASE       ,       )

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





     def   __UpperCamelCase		(						self			:					Union[str, Any]       ,       lowerCAmelCase__			:					Tuple       ,       lowerCAmelCase__			:					Any = None)    ->					Tuple[str]:

      """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(__SCREAMING_SNAKE_CASE):
       logger.error(f'''Vocabulary path ({save_directory}) should be a directory''')
       return
      SCREAMING_SNAKE_CASE							  =						os.path.join(
          __SCREAMING_SNAKE_CASE       ,       (filename_prefix + '-' if filename_prefix else '') + VOCAB_FILES_NAMES['vocab_file'])

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

      return (out_vocab_file,)








import math





def 		A_			(		lowercase_	)							->List[Any]:







 """simple docstring"""

 SCREAMING_SNAKE_CASE							  =						0
 if n % 2 == 0:
  count += 1
  while n % 2 == 0:
   SCREAMING_SNAKE_CASE							  =						int(n / 2	)
    # the n input value must be odd so that
    # we can skip one element (ie i += 2)

 SCREAMING_SNAKE_CASE							  =						3

 while i <= int(math.sqrt(lowercase_	)	):
  if n % i == 0:
   count += 1
   while n % i == 0:
    SCREAMING_SNAKE_CASE							  =						int(n / i	)
  SCREAMING_SNAKE_CASE							  =						i + 2

 # this condition checks the prime
 # number n is greater than 2

 if n > 2:
  count += 1
 return count


if __name__ == "__main__":
      __UpperCAmelCase      				=							5_1_2_4_2_1_8_3
      print(f'The number of distinct prime factors is/are {exact_prime_factor_count(n)}')
      print(f'The value of log(log(n)) is {math.log(math.log(n)):.4f}')




