



'''simple docstring'''

import math
from collections.abc import Generator



def   __lowerCamelCase  (   lowerCAmelCase_						)    ->   Generator[int, None, None]:
  _a  :   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		,    lowerCAmelCase_						):
      if (i % j) == 0:
        break
    else:
      yield i



def   __lowerCamelCase  (   lowerCAmelCase_						)    ->   Generator[int, None, None]:
  _a  :   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)
    _a  :   List[str]				 =							int(math.sqrt(lowerCAmelCase_						)						) + 1
    for j in range(2		,    lowerCAmelCase_						):
      if (i % j) == 0:
        break
    else:
      yield i



def   __lowerCamelCase  (   lowerCAmelCase_						)    ->   Generator[int, None, None]:
  _a  :   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):
    _a  :   List[Any]				 =							int(math.sqrt(lowerCAmelCase_						)						) + 1
    for j in range(3		,    lowerCAmelCase_		,    2						):
      # As we removed the even numbers, we don't need them now
      if (i % j) == 0:
        break
    else:
      yield i



def   __lowerCamelCase  (   )    ->   List[Any]:
  from timeit import timeit

  _a  :   Optional[int]				 =							'from __main__ import slow_primes, primes, fast_primes'
  print(timeit('slow_primes(1_000_000_000_000)'		,    setup=lowerCAmelCase_		,    number=1000000						)						)
  print(timeit('primes(1_000_000_000_000)'		,    setup=lowerCAmelCase_		,    number=1000000						)						)
  print(timeit('fast_primes(1_000_000_000_000)'		,    setup=lowerCAmelCase_		,    number=1000000						)						)


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









'''simple docstring'''

from transformers import SqueezeBertTokenizer, SqueezeBertTokenizerFast
from transformers.testing_utils import require_tokenizers, slow

from ..bert.test_tokenization_bert import BertTokenizationTest

@require_tokenizers
class 			__magic_name__		(					_UpperCamelCase     ):
							lowerCAmelCase :					int            =      SqueezeBertTokenizer
							lowerCAmelCase :					int            =      SqueezeBertTokenizerFast
							lowerCAmelCase :					List[Any]            =      True







							def 							__lowercase    (							self      : List[str]			,**_UpperCAmelCase      : Tuple	):
									return SqueezeBertTokenizerFast.from_pretrained(self.tmpdirname			,**_UpperCAmelCase	)







							@slow
							def 							__lowercase    (							self      : Tuple	):
									_a  :   Optional[int]				 =							SqueezeBertTokenizer.from_pretrained('squeezebert/squeezebert-mnli-headless'	)

									_a  :   int				 =							tokenizer.encode('sequence builders'			,add_special_tokens=_UpperCAmelCase	)
									_a  :   List[Any]				 =							tokenizer.encode('multi-sequence build'			,add_special_tokens=_UpperCAmelCase	)

									_a  :   Union[str, Any]				 =							tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase	)
									_a  :   Dict				 =							tokenizer.build_inputs_with_special_tokens(_UpperCAmelCase			,_UpperCAmelCase	)

									assert encoded_sentence == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id]
									assert encoded_pair == [tokenizer.cls_token_id] + text + [tokenizer.sep_token_id] + text_a + [
									    tokenizer.sep_token_id
									]




