
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:
   _A  					= None


_A  					= logging.get_logger(__name__)


_A  					= "▁"

_A  					= {"vocab_file": "spiece.model", "tokenizer_file": "tokenizer.json"}

_A  					= {
    "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"
        )
    },
}

_A  					= {
    "google/reformer-crime-and-punishment": 52_42_88,
}







class      lowerCamelCase		(  A_  ):
     UpperCAmelCase__				:							List[str]           =		VOCAB_FILES_NAMES
     UpperCAmelCase__				:							List[str]           =		PRETRAINED_VOCAB_FILES_MAP
     UpperCAmelCase__				:							Optional[int]           =		PRETRAINED_POSITIONAL_EMBEDDINGS_SIZES
     UpperCAmelCase__				:							Tuple           =		['''input_ids''', '''attention_mask''']
     UpperCAmelCase__				:							str           =		ReformerTokenizer





     def __init__(self      :    Dict				,    _A      :    Tuple=None				,    _A      :    Tuple=None				,    _A      :    str="</s>"				,    _A      :    List[Any]="<unk>"				,    _A      :    Any=[]				,    **_A      :    Optional[Any]				,    )						->						List[Any]:
         super().__init__(
             UpperCAmelCase_				,    tokenizer_file=UpperCAmelCase_				,    eos_token=UpperCAmelCase_				,    unk_token=UpperCAmelCase_				,    additional_special_tokens=UpperCAmelCase_				,    **UpperCAmelCase_				,    )

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





     def 		UpperCAmelCase(self      :    Optional[int]				,    _A      :    str				,    _A      :    Optional[str] = None   )						->						Any:
         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(UpperCAmelCase_   ):
             logger.error(f'Vocabulary path ({save_directory}) should be a directory'   )
             return
         snake_case      =					os.path.join(
             UpperCAmelCase_				,    (filename_prefix + "-" if filename_prefix else "") + VOCAB_FILES_NAMES["vocab_file"]   )

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

         return (out_vocab_file,)









import math
from collections.abc import Generator


def      lowerCamelCase__	(   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Generator		  =			(i for i in range(1  ,   (max_n + 1) ))
  for i in (n for n in numbers if n > 1):
    for j in range(2  ,   lowercase ):
      if (i % j) == 0:
        break
    else:
      yield i


def      lowerCamelCase__	(   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Generator		  =			(i for i in range(1  ,   (max_n + 1) ))
  for i in (n for n in numbers if n > 1):
    # only need to check for factors up to sqrt(i)
    SCREAMING_SNAKE_CASE				:					str		  =			int(math.sqrt(lowercase ) ) + 1
    for j in range(2  ,   lowercase ):
      if (i % j) == 0:
        break
    else:
      yield i


def      lowerCamelCase__	(   lowercase ):

  """simple docstring"""






  SCREAMING_SNAKE_CASE				:					Generator		  =			(i for i in range(1  ,   (max_n + 1)  ,   2 ))
  # It's useless to test even numbers as they will not be prime
  if max_n > 2:
    yield 2  # Because 2 will not be tested, it's necessary to yield it now
  for i in (n for n in numbers if n > 1):
    SCREAMING_SNAKE_CASE				:					Optional[Any]		  =			int(math.sqrt(lowercase ) ) + 1
    for j in range(3  ,   lowercase  ,   2 ):
      # As we removed the even numbers, we don't need them now
      if (i % j) == 0:
        break
    else:
      yield i


def      lowerCamelCase__	(   ):

  """simple docstring"""






  from timeit import timeit

  SCREAMING_SNAKE_CASE				:					Tuple		  =			"from __main__ import slow_primes, primes, fast_primes"
  print(timeit("slow_primes(1_000_000_000_000)"  ,   setup=lowercase  ,   number=1000000 ) )
  print(timeit("primes(1_000_000_000_000)"  ,   setup=lowercase  ,   number=1000000 ) )
  print(timeit("fast_primes(1_000_000_000_000)"  ,   setup=lowercase  ,   number=1000000 ) )


if __name__ == "__main__":
   snake_case			 =						int(input("""Calculate primes up to:\n>> """).strip())
   for ret in primes(number):
      print(ret)
   benchmark()






