


"""simple docstring"""






import copy
from typing import Dict

from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ..auto.configuration_auto import CONFIG_MAPPING
from ..bit import BitConfig


__snake_case												=							logging.get_logger(__name__)

__snake_case												=							{
    'google/vit-hybrid-base-bit-384': 'https://huggingface.co/vit-hybrid-base-bit-384/resolve/main/config.json',
    # See all ViT hybrid models at https://huggingface.co/models?filter=vit
}


class      __lowerCamelCase	(       lowerCAmelCase__					):

     '''simple docstring'''
     A_							:						List[str]     =		"vit-hybrid"


     def __init__(   self     ,					__UpperCAmelCase=None     ,					__UpperCAmelCase=768     ,					__UpperCAmelCase=12     ,					__UpperCAmelCase=12     ,					__UpperCAmelCase=3072     ,					__UpperCAmelCase="gelu"     ,					__UpperCAmelCase=0.0     ,					__UpperCAmelCase=0.0     ,					__UpperCAmelCase=0.02     ,					__UpperCAmelCase=1e-1_2     ,					__UpperCAmelCase=224     ,					__UpperCAmelCase=1     ,					__UpperCAmelCase=3     ,					__UpperCAmelCase=[1, 1024, 24, 24]     ,					__UpperCAmelCase=True     ,					**__UpperCAmelCase     ,					)							->				Dict:
          super().__init__(**_SCREAMING_SNAKE_CASE				)

          if backbone_config is None:
               logger.info('''`backbone_config` is `None`. Initializing the config with a `BiT` backbone.'''				)
               _a     						=					{
                   '''global_padding''': '''same''',
                   '''layer_type''': '''bottleneck''',
                   '''depths''': [3, 4, 9],
                   '''out_features''': ['''stage3'''],
                   '''embedding_dynamic_padding''': True,
               }

          if isinstance(_SCREAMING_SNAKE_CASE     ,					_SCREAMING_SNAKE_CASE				):
               if "model_type" in backbone_config:
                    _a     						=					CONFIG_MAPPING[backbone_config['''model_type''']]
               else:
                    logger.info(
                        '''`model_type` is not found in `backbone_config`. Use `Bit` as the backbone configuration class.'''				)
                    _a     						=					BitConfig
               _a     						=					backbone_config_class(**_SCREAMING_SNAKE_CASE				)

          _a     						=					backbone_featmap_shape
          _a     						=					backbone_config
          _a     						=					hidden_size
          _a     						=					num_hidden_layers
          _a     						=					num_attention_heads
          _a     						=					intermediate_size
          _a     						=					hidden_act
          _a     						=					hidden_dropout_prob
          _a     						=					attention_probs_dropout_prob
          _a     						=					initializer_range
          _a     						=					layer_norm_eps
          _a     						=					image_size
          _a     						=					patch_size
          _a     						=					num_channels
          _a     						=					qkv_bias





     def 				_UpperCAmelCase   (   self				)							->				Dict[str, any]:
          _a     						=					copy.deepcopy(self.__dict__				)
          _a     						=					self.backbone_config.to_dict()
          _a     						=					self.__class__.model_type
          return output


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()
