




from ...configuration_utils import PretrainedConfig
from ...utils import logging
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


__A						:							Union[str, Any]							=  logging.get_logger(__name__)

__A						:							Union[str, Any]							=  {
    """google/bit-50""": """https://huggingface.co/google/bit-50/resolve/main/config.json""",
}




class 			UpperCAmelCase_      (   A		,      A       ):




							'''simple docstring'''



							a__						  =     '''bit'''
							a__						  =     ['''preactivation''', '''bottleneck''']
							a__						  =     ['''SAME''', '''VALID''']





							def __init__(					self       :	Any       ,     a       :	Tuple=3       ,     a       :	str=64       ,     a       :	Tuple=[256, 512, 1_024, 2_048]       ,     a       :	List[Any]=[3, 4, 6, 3]       ,     a       :	Optional[Any]="preactivation"       ,     a       :	Union[str, Any]="relu"       ,     a       :	Any=None       ,     a       :	Dict=32       ,     a       :	str=0.0       ,     a       :	List[Any]=False       ,     a       :	Dict=32       ,     a       :	str=1       ,     a       :	List[Any]=None       ,     a       :	Dict=None       ,     **a       :	Dict       ,     )			->					int:
										super().__init__(**a			)
										if layer_type not in self.layer_types:
													raise ValueError(f"""layer_type={layer_type} is not one of {",".join(self.layer_types			)}"""			)
										if global_padding is not None:
													if global_padding.upper() in self.supported_padding:
																SCREAMING_SNAKE_CASE           =					global_padding.upper()
													else:
																raise ValueError(f"""Padding strategy {global_padding} not supported"""			)
										SCREAMING_SNAKE_CASE           =					num_channels
										SCREAMING_SNAKE_CASE           =					embedding_size
										SCREAMING_SNAKE_CASE           =					hidden_sizes
										SCREAMING_SNAKE_CASE           =					depths
										SCREAMING_SNAKE_CASE           =					layer_type
										SCREAMING_SNAKE_CASE           =					hidden_act
										SCREAMING_SNAKE_CASE           =					global_padding
										SCREAMING_SNAKE_CASE           =					num_groups
										SCREAMING_SNAKE_CASE           =					drop_path_rate
										SCREAMING_SNAKE_CASE           =					embedding_dynamic_padding
										SCREAMING_SNAKE_CASE           =					output_stride
										SCREAMING_SNAKE_CASE           =					width_factor

										SCREAMING_SNAKE_CASE           =					["""stem"""] + [f"""stage{idx}""" for idx in range(1       ,     len(a			) + 1			)]
										SCREAMING_SNAKE_CASE     ,  SCREAMING_SNAKE_CASE           =					get_aligned_output_features_output_indices(
										    out_features=a       ,     out_indices=a       ,     stage_names=self.stage_names			)












from __future__ import annotations

import math
def 					lowerCamelCase_    (    SCREAMING_SNAKE_CASE   ):
			'''simple docstring'''

			if num <= 0:
						SCREAMING_SNAKE_CASE           =					f"""{num}: Invalid input, please enter a positive integer."""
						raise ValueError(SCREAMING_SNAKE_CASE   )

			SCREAMING_SNAKE_CASE           =					[True] * (num + 1)
			SCREAMING_SNAKE_CASE           =					[]
			SCREAMING_SNAKE_CASE           =					2
			SCREAMING_SNAKE_CASE           =					int(math.sqrt(SCREAMING_SNAKE_CASE   )   )

			while start <= end:
						# If start is a prime
						if sieve[start] is True:
									prime.append(SCREAMING_SNAKE_CASE   )

									# Set multiples of start be False
									for i in range(start * start					,	num + 1					,	SCREAMING_SNAKE_CASE   ):
												if sieve[i] is True:
															SCREAMING_SNAKE_CASE           =					False

						start += 1

			for j in range(end + 1					,	num + 1   ):
						if sieve[j] is True:
									prime.append(SCREAMING_SNAKE_CASE   )

			return prime


if __name__ == "__main__":
		print(prime_sieve(int(input("""Enter a positive integer: """).strip())))






