


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
from ...utils.backbone_utils import BackboneConfigMixin, get_aligned_output_features_output_indices


snake_case							: Dict      =   logging.get_logger(__name__)

snake_case							: List[Any]      =   {
    '''microsoft/resnet-50''': '''https://huggingface.co/microsoft/resnet-50/blob/main/config.json''',
}







class  snake_case_     (lowerCamelCase_			,		lowerCamelCase_   ):
					UpperCAmelCase__      :					Union[str, Any]					   =    '''resnet'''
					UpperCAmelCase__      :					List[Any]					   =    ['''basic''', '''bottleneck''']
					def __init__(   self     :Optional[int]    ,__snake_case     :int=3    ,__snake_case     :Union[str, Any]=64    ,__snake_case     :Any=[2_56, 5_12, 10_24, 20_48]    ,__snake_case     :Dict=[3, 4, 6, 3]    ,__snake_case     :str="bottleneck"    ,__snake_case     :Optional[int]="relu"    ,__snake_case     :Union[str, Any]=False    ,__snake_case     :List[str]=None    ,__snake_case     :Union[str, Any]=None    ,**__snake_case     :Dict    ,)      ->					Dict:
												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__    =  num_channels
												a__    =  embedding_size
												a__    =  hidden_sizes
												a__    =  depths
												a__    =  layer_type
												a__    =  hidden_act
												a__    =  downsample_in_first_stage
												a__    =  ['stem'] + [F'stage{idx}' for idx in range(1    ,len(__snake_case   ) + 1   )]
												a__   ,      a__    =  get_aligned_output_features_output_indices(
												    out_features=__snake_case    ,out_indices=__snake_case    ,stage_names=self.stage_names   )







class  snake_case_     (lowerCamelCase_   ):
					UpperCAmelCase__      :					int					   =    version.parse('''1.11'''   )
					@property
					def 				lowerCamelCase__(   self     :Any   )      ->					Mapping[str, Mapping[int, str]]:
												return OrderedDict(
												    [
												        ('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'}),
												    ]   )



					@property
					def 				lowerCamelCase__(   self     :List[str]   )      ->					float:
												return 1E-3








from math import ceil, sqrt






def 							__lowercase     (				__lowerCAmelCase							:       int = 1_0_0_0_0_0_0     ):
							a__    =  0

							for outer_width in range(3      ,					(limit // 4) + 2     ):
														if outer_width**2 > limit:
																					a__    =  max(ceil(sqrt(outer_width**2 - limit     )     )      ,					1     )
														else:
																					a__    =  1
														if (outer_width - hole_width_lower_bound) % 2:
																					hole_width_lower_bound += 1

														answer += (outer_width - hole_width_lower_bound - 2) // 2 + 1

							return answer


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




