



from collections import defaultdict


def A    (							__UpperCamelCase       )    ->   int:
			A__	  =     1
			A__	  =     True
			for v in tree[start]:
						if v not in visited:
									ret += dfs(__UpperCamelCase       )
			if ret % 2 == 0:
						cuts.append(__UpperCamelCase       )
			return ret


def A    (							)    ->   Dict:
			dfs(1       )


if __name__ == "__main__":
							SCREAMING_SNAKE_CASE__			,						SCREAMING_SNAKE_CASE__   			=   1_0, 9
							SCREAMING_SNAKE_CASE__   			=   defaultdict(list)
							SCREAMING_SNAKE_CASE__   			=   {}
							SCREAMING_SNAKE_CASE__   			=   []
							SCREAMING_SNAKE_CASE__   			=   0
							SCREAMING_SNAKE_CASE__   			=   [(2, 1), (3, 1), (4, 3), (5, 2), (6, 1), (7, 2), (8, 6), (9, 8), (1_0, 8)]
							for u, v in edges:
														tree[u].append(v)
														tree[v].append(u)
							even_tree()
							print(len(cuts) - 1)











import warnings

from ...utils import logging
from .image_processing_yolos import YolosImageProcessor


_lowercase		:  int			       =logging.get_logger(__name__)






class 						UpperCamelCase_  (  snake_case__							):



					def __init__(		self     :     Tuple       ,      *lowerCamelCase     :     List[Any]       ,      **lowerCamelCase     :     Union[str, Any]						):
							warnings.warn(
							    'The class YolosFeatureExtractor is deprecated and will be removed in version 5 of Transformers. Please'
							    ' use YolosImageProcessor instead.'       ,      lowerCamelCase       ,      )
							super().__init__(*lowerCamelCase       ,      **lowerCamelCase						)
