



'''simple docstring'''
from collections import OrderedDict
from typing import Mapping

from packaging import version

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


snake_case_				:			str						 =						logging.get_logger(__name__)

snake_case_				:			List[Any]						 =						{
    'apple/mobilevitv2-1.0': 'https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json',
}






class 							lowercase__			(							lowercase     ):
	lowercase__						       =    """mobilevitv2"""





	def __init__(				self      :       Optional[int]				,lowerCamelCase__      :       Optional[int]=3				,lowerCamelCase__      :       str=256				,lowerCamelCase__      :       Optional[Any]=2				,lowerCamelCase__      :       int=2.0				,lowerCamelCase__      :       List[Any]="swish"				,lowerCamelCase__      :       Any=3				,lowerCamelCase__      :       List[str]=32				,lowerCamelCase__      :       List[str]=0.1				,lowerCamelCase__      :       Dict=0.0_2				,lowerCamelCase__      :       List[Any]=1E-5				,lowerCamelCase__      :       List[str]=512				,lowerCamelCase__      :       Union[str, Any]=[6, 12, 18]				,lowerCamelCase__      :       Any=0.1				,lowerCamelCase__      :       List[str]=255				,lowerCamelCase__      :       List[str]=[2, 4, 3]				,lowerCamelCase__      :       List[Any]=[128, 192, 256]				,lowerCamelCase__      :       Union[str, Any]=1.0				,lowerCamelCase__      :       Optional[Any]=2				,lowerCamelCase__      :       Optional[Any]=0.0				,lowerCamelCase__      :       Optional[int]=0.0				,**lowerCamelCase__      :       Optional[int]				,):







							'''simple docstring'''
							super().__init__(**lowerCamelCase__				)

							_UpperCamelCase      :	List[Any]				       =     num_channels
							_UpperCamelCase      :	int				       =     image_size
							_UpperCamelCase      :	Tuple				       =     patch_size
							_UpperCamelCase      :	Tuple				       =     expand_ratio
							_UpperCamelCase      :	str				       =     hidden_act
							_UpperCamelCase      :	List[Any]				       =     conv_kernel_size
							_UpperCamelCase      :	Dict				       =     output_stride
							_UpperCamelCase      :	Union[str, Any]				       =     initializer_range
							_UpperCamelCase      :	Optional[int]				       =     layer_norm_eps
							_UpperCamelCase      :	List[str]				       =     n_attn_blocks
							_UpperCamelCase      :	Optional[Any]				       =     base_attn_unit_dims
							_UpperCamelCase      :	Tuple				       =     width_multiplier
							_UpperCamelCase      :	Optional[Any]				       =     ffn_multiplier
							_UpperCamelCase      :	List[Any]				       =     ffn_dropout
							_UpperCamelCase      :	Tuple				       =     attn_dropout
							_UpperCamelCase      :	List[Any]				       =     classifier_dropout_prob

							# decode head attributes for semantic segmentation
							_UpperCamelCase      :	Optional[Any]				       =     aspp_out_channels
							_UpperCamelCase      :	Optional[int]				       =     atrous_rates
							_UpperCamelCase      :	List[str]				       =     aspp_dropout_prob
							_UpperCamelCase      :	str				       =     semantic_loss_ignore_index






class 							lowercase__			(							lowercase     ):
	lowercase__						       =    version.parse("""1.11"""     )





	@property
	def 			UpperCamelCase_						(				self      :       Optional[Any]				):







							'''simple docstring'''
							return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})]				)





	@property
	def 			UpperCamelCase_						(				self      :       int				):







							'''simple docstring'''
							if self.task == "image-classification":
													return OrderedDict([('logits', {0: 'batch'})]				)
							else:
													return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]				)





	@property
	def 			UpperCamelCase_						(				self      :       Any				):







							'''simple docstring'''
							return 1E-4







'''simple docstring'''
import math






def A__					(  UpperCAmelCase_							):

						if 1 < number < 4:
												# 2 and 3 are primes
												return True
						elif number < 2 or number % 2 == 0 or number % 3 == 0:
												# Negatives, 0, 1, all even numbers, all multiples of 3 are not primes
												return False

						# All primes number are in format of 6k +/- 1
						for i in range(5						,						int(math.sqrt(UpperCAmelCase_							) + 1							)						,						6							):
												if number % i == 0 or number % (i + 2) == 0:
																		return False
						return True






def A__					(  UpperCAmelCase_ = 1_0_0_0						,						UpperCAmelCase_ = 1_0_0_0							):
						_UpperCamelCase      :	str				       =     [0, 0, 0]  # length, a, b
						for a in range((a_limit * -1) + 1						,						UpperCAmelCase_							):
												for b in range(2						,						UpperCAmelCase_							):
																		if is_prime(UpperCAmelCase_							):
																								_UpperCamelCase      :	List[str]				       =     0
																								_UpperCamelCase      :	Union[str, Any]				       =     0
																								while is_prime((n**2) + (a * n) + b							):
																														count += 1
																														n += 1
																								if count > longest[0]:
																														_UpperCamelCase      :	Any				       =     [count, a, b]
						_UpperCamelCase      :	Dict				       =     longest[1] * longest[2]
						return ans


if __name__ == "__main__":
					print(solution(1000, 1000))


