




'''simple docstring'''

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


a  :				Any									=  logging.get_logger(__name__)

a  :				Tuple									=  {
    'google/bit-50': 'https://huggingface.co/google/bit-50/resolve/main/config.json',
}






class 						a				(   _lowerCamelCase   ,     _lowerCamelCase     ):
				snake_case_      =		"bit"
				snake_case_      =		["preactivation", "bottleneck"]
				snake_case_      =		["SAME", "VALID"]


				def __init__(		self    :					Tuple       ,				lowercase_    :					Union[str, Any]=3       ,				lowercase_    :					Tuple=64       ,				lowercase_    :					Optional[int]=[256, 512, 1024, 2048]       ,				lowercase_    :					Dict=[3, 4, 6, 3]       ,				lowercase_    :					Any="preactivation"       ,				lowercase_    :					str="relu"       ,				lowercase_    :					List[Any]=None       ,				lowercase_    :					List[Any]=32       ,				lowercase_    :					Optional[Any]=0.0       ,				lowercase_    :					Optional[Any]=False       ,				lowercase_    :					Union[str, Any]=32       ,				lowercase_    :					str=1       ,				lowercase_    :					List[Any]=None       ,				lowercase_    :					List[str]=None       ,				**lowercase_    :					Tuple       ,				):
									super().__init__(**lowercase_					)
									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:
																			snake_case_									=				global_padding.upper()
														else:
																			raise ValueError(F"Padding strategy {global_padding} not supported"					)
									snake_case_									=				num_channels
									snake_case_									=				embedding_size
									snake_case_									=				hidden_sizes
									snake_case_									=				depths
									snake_case_									=				layer_type
									snake_case_									=				hidden_act
									snake_case_									=				global_padding
									snake_case_									=				num_groups
									snake_case_									=				drop_path_rate
									snake_case_									=				embedding_dynamic_padding
									snake_case_									=				output_stride
									snake_case_									=				width_factor

									snake_case_									=				['''stem'''] + [F"stage{idx}" for idx in range(1       ,				len(lowercase_					) + 1					)]
									snake_case_			,snake_case_									=				get_aligned_output_features_output_indices(
									    out_features=lowercase_       ,				out_indices=lowercase_       ,				stage_names=self.stage_names					)







'''simple docstring'''

from collections import defaultdict


def 		__magic_name__    (	__UpperCAmelCase	)		->					int:

					'''simple docstring'''

					snake_case_									=				1
					snake_case_									=				True
					for v in tree[start]:
										if v not in visited:
															ret += dfs(__UpperCAmelCase	)
					if ret % 2 == 0:
										cuts.append(__UpperCAmelCase	)
					return ret


def 		__magic_name__    (	)		->					Union[str, Any]:

					'''simple docstring'''

					dfs(1	)


if __name__ == "__main__":
							a		,a  :				Dict									=  10, 9
							a  :				Dict									=  defaultdict(list)
							a  :				dict[int, bool]									=  {}
							a  :				list[int]									=  []
							a  :				Tuple									=  0
							a  :				str									=  [(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (10, 8)]
							for u, v in edges:
														tree[u].append(v)
														tree[v].append(u)
							even_tree()
							print(len(cuts) - 1)

