






import math
from collections.abc import Generator
def        UpperCAmelCase      (   _lowercase      ):


    '''simple docstring'''



    _lowercase     =	(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        UpperCAmelCase      (   _lowercase      ):


    '''simple docstring'''



    _lowercase     =	(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)
        _lowercase     =	int(math.sqrt(_lowercase      )      ) + 1
        for j in range(2,      _lowercase      ):
            if (i % j) == 0:
                break
        else:
            yield i
def        UpperCAmelCase      (   _lowercase      ):


    '''simple docstring'''



    _lowercase     =	(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):
        _lowercase     =	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        UpperCAmelCase      (   ):


    '''simple docstring'''



    from timeit import timeit

    _lowercase     =	'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__":
   lowerCamelCase										=  int(input('''Calculate primes up to:\n>> ''').strip())
   for ret in primes(number):
      print(ret)
   benchmark()








from typing import List, Union

from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowerCamelCase										=  logging.get_logger(__name__)

lowerCamelCase										=  {
    '''allenai/led-base-16384''': '''https://huggingface.co/allenai/led-base-16384/resolve/main/config.json''',
    # See all LED models at https://huggingface.co/models?filter=led
}

class 					snake_case_							(       lowercase_      ):







   """simple docstring"""



   __lowerCAmelCase      =						"""led"""
   __lowerCAmelCase      =						{
       """num_attention_heads""": """encoder_attention_heads""",
       """hidden_size""": """d_model""",
       """attention_probs_dropout_prob""": """attention_dropout""",
       """initializer_range""": """init_std""",
   }

   def __init__(    self:	int   ,       snake_case__:	str=50_265   ,       snake_case__:	Dict=16_384   ,       snake_case__:	str=1_024   ,       snake_case__:	Tuple=12   ,       snake_case__:	int=4_096   ,       snake_case__:	Union[str, Any]=16   ,       snake_case__:	int=12   ,       snake_case__:	Union[str, Any]=4_096   ,       snake_case__:	Optional[Any]=16   ,       snake_case__:	str=0.0   ,       snake_case__:	Optional[Any]=0.0   ,       snake_case__:	List[Any]=True   ,       snake_case__:	List[Any]=True   ,       snake_case__:	List[Any]="gelu"   ,       snake_case__:	Optional[int]=1_024   ,       snake_case__:	List[Any]=0.1   ,       snake_case__:	int=0.0   ,       snake_case__:	List[str]=0.0   ,       snake_case__:	List[str]=0.02   ,       snake_case__:	Dict=2   ,       snake_case__:	int=0.0   ,       snake_case__:	Optional[int]=1   ,       snake_case__:	Tuple=0   ,       snake_case__:	Union[str, Any]=2   ,       snake_case__:	Union[List[int], int] = 512   ,       **snake_case__:	int   ,       )  ->		List[Any]:


       """simple docstring"""



       _lowercase     =	vocab_size
       _lowercase     =	max_encoder_position_embeddings
       _lowercase     =	max_decoder_position_embeddings
       _lowercase     =	d_model
       _lowercase     =	encoder_ffn_dim
       _lowercase     =	encoder_layers
       _lowercase     =	encoder_attention_heads
       _lowercase     =	decoder_ffn_dim
       _lowercase     =	decoder_layers
       _lowercase     =	decoder_attention_heads
       _lowercase     =	dropout
       _lowercase     =	attention_dropout
       _lowercase     =	activation_dropout
       _lowercase     =	activation_function
       _lowercase     =	init_std
       _lowercase     =	encoder_layerdrop
       _lowercase     =	decoder_layerdrop
       _lowercase     =	classifier_dropout
       _lowercase     =	use_cache
       _lowercase     =	encoder_layers
       _lowercase     =	attention_window

       super().__init__(
           pad_token_id=snake_case__   ,       bos_token_id=snake_case__   ,       eos_token_id=snake_case__   ,       is_encoder_decoder=snake_case__   ,       decoder_start_token_id=snake_case__   ,       **snake_case__   ,       )
