






from collections import OrderedDict
from typing import Mapping

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


__UpperCAmelCase      =				logging.get_logger(__name__)

__UpperCAmelCase      =				{
    "google/electra-small-generator": "https://huggingface.co/google/electra-small-generator/resolve/main/config.json",
    "google/electra-base-generator": "https://huggingface.co/google/electra-base-generator/resolve/main/config.json",
    "google/electra-large-generator": "https://huggingface.co/google/electra-large-generator/resolve/main/config.json",
    "google/electra-small-discriminator": (
        "https://huggingface.co/google/electra-small-discriminator/resolve/main/config.json"
    ),
    "google/electra-base-discriminator": (
        "https://huggingface.co/google/electra-base-discriminator/resolve/main/config.json"
    ),
    "google/electra-large-discriminator": (
        "https://huggingface.co/google/electra-large-discriminator/resolve/main/config.json"
    ),
}
class 	a_(		lowercase__	):



     """simple docstring"""



     __snake_case		:				List[Any]  					='''electra'''





     def __init__(		self					:	int  ,  lowerCAmelCase__					:	Any=3_0_5_2_2  ,  lowerCAmelCase__					:	List[str]=1_2_8  ,  lowerCAmelCase__					:	Optional[int]=2_5_6  ,  lowerCAmelCase__					:	List[str]=1_2  ,  lowerCAmelCase__					:	Dict=4  ,  lowerCAmelCase__					:	List[Any]=1_0_2_4  ,  lowerCAmelCase__					:	List[Any]="gelu"  ,  lowerCAmelCase__					:	Union[str, Any]=0.1  ,  lowerCAmelCase__					:	List[str]=0.1  ,  lowerCAmelCase__					:	Tuple=5_1_2  ,  lowerCAmelCase__					:	int=2  ,  lowerCAmelCase__					:	int=0.02  ,  lowerCAmelCase__					:	str=1e-12  ,  lowerCAmelCase__					:	List[str]="first"  ,  lowerCAmelCase__					:	Any=True  ,  lowerCAmelCase__					:	List[Any]="gelu"  ,  lowerCAmelCase__					:	Optional[Any]=0.1  ,  lowerCAmelCase__					:	List[Any]=0  ,  lowerCAmelCase__					:	List[str]="absolute"  ,  lowerCAmelCase__					:	Tuple=True  ,  lowerCAmelCase__					:	List[str]=None  ,  **lowerCAmelCase__					:	int  ,  )							->	List[str]:

      """simple docstring"""
      super().__init__(pad_token_id=lowerCAmelCase__  ,  **lowerCAmelCase__)

      SCREAMING_SNAKE_CASE				    =		vocab_size
      SCREAMING_SNAKE_CASE				    =		embedding_size
      SCREAMING_SNAKE_CASE				    =		hidden_size
      SCREAMING_SNAKE_CASE				    =		num_hidden_layers
      SCREAMING_SNAKE_CASE				    =		num_attention_heads
      SCREAMING_SNAKE_CASE				    =		intermediate_size
      SCREAMING_SNAKE_CASE				    =		hidden_act
      SCREAMING_SNAKE_CASE				    =		hidden_dropout_prob
      SCREAMING_SNAKE_CASE				    =		attention_probs_dropout_prob
      SCREAMING_SNAKE_CASE				    =		max_position_embeddings
      SCREAMING_SNAKE_CASE				    =		type_vocab_size
      SCREAMING_SNAKE_CASE				    =		initializer_range
      SCREAMING_SNAKE_CASE				    =		layer_norm_eps

      SCREAMING_SNAKE_CASE				    =		summary_type
      SCREAMING_SNAKE_CASE				    =		summary_use_proj
      SCREAMING_SNAKE_CASE				    =		summary_activation
      SCREAMING_SNAKE_CASE				    =		summary_last_dropout
      SCREAMING_SNAKE_CASE				    =		position_embedding_type
      SCREAMING_SNAKE_CASE				    =		use_cache
      SCREAMING_SNAKE_CASE				    =		classifier_dropout

class 	a_(		lowercase__	):



     """simple docstring"""



     @property
     def     __UpperCamelCase						(		self					:	List[str])							->	Mapping[str, Mapping[int, str]]:

      """simple docstring"""
      if self.task == "multiple-choice":
       SCREAMING_SNAKE_CASE				    =		{0: 'batch', 1: 'choice', 2: 'sequence'}
      else:
       SCREAMING_SNAKE_CASE				    =		{0: 'batch', 1: 'sequence'}
      return OrderedDict(
          [
              ('input_ids', dynamic_axis),
              ('attention_mask', dynamic_axis),
              ('token_type_ids', dynamic_axis),
          ])







import math
from collections.abc import Generator




def        __UpperCamelCase     (      _A					:							int		)				->Generator[int, None, None]:



							"""simple docstring"""
							lowerCamelCase_								=(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      ,  _A		):
																					if (i % j) == 0:
																												break
														else:
																					yield i




def        __UpperCamelCase     (      _A					:							int		)				->Generator[int, None, None]:



							"""simple docstring"""
							lowerCamelCase_								=(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)
														lowerCamelCase_								=int(math.sqrt(_A		)		) + 1
														for j in range(2      ,  _A		):
																					if (i % j) == 0:
																												break
														else:
																					yield i




def        __UpperCamelCase     (      _A					:							int		)				->Generator[int, None, None]:



							"""simple docstring"""
							lowerCamelCase_								=(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):
														lowerCamelCase_								=int(math.sqrt(_A		)		) + 1
														for j in range(3      ,  _A      ,  2		):
																					# As we removed the even numbers, we don't need them now
																					if (i % j) == 0:
																												break
														else:
																					yield i




def        __UpperCamelCase     (      )				->Dict:



							"""simple docstring"""
							from timeit import timeit

							lowerCamelCase_								="""from __main__ import slow_primes, primes, fast_primes"""
							print(timeit("""slow_primes(1_000_000_000_000)"""      ,  setup=_A      ,  number=1000000		)		)
							print(timeit("""primes(1_000_000_000_000)"""      ,  setup=_A      ,  number=1000000		)		)
							print(timeit("""fast_primes(1_000_000_000_000)"""      ,  setup=_A      ,  number=1000000		)		)


if __name__ == "__main__":
	__A	:   Union[str, Any]	=					int(input('Calculate primes up to:\n>> ').strip())
	for ret in primes(number):
		print(ret)
	benchmark()
