
"""simple docstring"""
def     lowerCamelCase_    (	lowerCamelCase_ )     ->			bool:


					'''simple docstring'''
					__a:						Dict		    =					9

					while num > 0:
										if num % 10 != digit:
															return False
										num //= 1_00
										digit -= 1

					return True


def     lowerCamelCase_    (	)     ->			int:


					'''simple docstring'''
					__a:						List[Any]		    =					1_38_90_26_63

					while not is_square_form(num * num ):
										if num % 10 == 3:
															num -= 6  # (3 - 6) % 10 = 7
										else:
															num -= 4  # (7 - 4) % 10 = 3

					return num * 10


if __name__ == "__main__":
			print(F"{solution() = }")


"""simple docstring"""
from ...configuration_utils import PretrainedConfig
from ...utils import logging


lowercase		:						int =					logging.get_logger(__name__)

lowercase		:						Any =					{
    'facebook/regnet-y-040': 'https://huggingface.co/facebook/regnet-y-040/blob/main/config.json',
}




class    _snake_case  (						_lowercase       ):
							SCREAMING_SNAKE_CASE		     =						'''regnet'''
							SCREAMING_SNAKE_CASE		     =						['''x''', '''y''']






							def __init__(					self						:			Union[str, Any]						, snake_case__						:			Any=3						, snake_case__						:			str=3_2						, snake_case__						:			Tuple=[1_2_8, 1_9_2, 5_1_2, 1_0_8_8]						, snake_case__						:			Union[str, Any]=[2, 6, 1_2, 2]						, snake_case__						:			str=6_4						, snake_case__						:			Optional[int]="y"						, snake_case__						:			Tuple="relu"						, **snake_case__						:			str						, ):






												"""simple docstring"""



												super().__init__(**snake_case__    )
												if layer_type not in self.layer_types:
																	raise ValueError(f"""layer_type={layer_type} is not one of {','.join(self.layer_types    )}"""    )
												__a:						Any		    =					num_channels
												__a:						List[Any]		    =					embedding_size
												__a:						Optional[int]		    =					hidden_sizes
												__a:						Optional[int]		    =					depths
												__a:						Optional[Any]		    =					groups_width
												__a:						Tuple		    =					layer_type
												__a:						str		    =					hidden_act
												# always downsample in the first stage
												__a:						List[str]		    =					True
