


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 __future__ import annotations






def 							__lowercase     (				__lowerCAmelCase							:       list[int]     ):  # This function is recursive
							a__    =  len(__lowerCAmelCase     )
							# If the array contains only one element, we return it (it's the stop condition of
							# recursion)
							if array_length <= 1:
														return array
														# Else
							a__    =  array[0]
							a__    =  False
							a__    =  1
							a__    =  []
							while not is_found and i < array_length:
														if array[i] < pivot:
																					a__    =  True
																					a__    =  [element for element in array[i:] if element >= array[i]]
																					a__    =  longest_subsequence(__lowerCAmelCase     )
																					if len(__lowerCAmelCase     ) > len(__lowerCAmelCase     ):
																												a__    =  temp_array
														else:
																					i += 1

							a__    =  [element for element in array[1:] if element >= pivot]
							a__    =  [pivot, *longest_subsequence(__lowerCAmelCase     )]
							if len(__lowerCAmelCase     ) > len(__lowerCAmelCase     ):
														return temp_array
							else:
														return longest_subseq


if __name__ == "__main__":
						import doctest

						doctest.testmod()




