

"""simple docstring"""



from ...configuration_utils import PretrainedConfig
from ...utils import logging


SCREAMING_SNAKE_CASE_					:	Tuple							  =						logging.get_logger(__name__)

SCREAMING_SNAKE_CASE_					:	Dict							  =						{
    'microsoft/cvt-13': 'https://huggingface.co/microsoft/cvt-13/resolve/main/config.json',
    # See all Cvt models at https://huggingface.co/models?filter=cvt
}



class 					a						(       _lowerCamelCase				):



    """simple docstring"""



    UpperCAmelCase						 =					"cvt"

    def __init__(     self: Any    ,						UpperCamelCase: Dict=3    ,						UpperCamelCase: str=[7, 3, 3]    ,						UpperCamelCase: str=[4, 2, 2]    ,						UpperCamelCase: Tuple=[2, 1, 1]    ,						UpperCamelCase: Dict=[64, 1_92, 3_84]    ,						UpperCamelCase: Any=[1, 3, 6]    ,						UpperCamelCase: List[str]=[1, 2, 10]    ,						UpperCamelCase: Any=[4.0, 4.0, 4.0]    ,						UpperCamelCase: Union[str, Any]=[0.0, 0.0, 0.0]    ,						UpperCamelCase: Optional[int]=[0.0, 0.0, 0.0]    ,						UpperCamelCase: List[str]=[0.0, 0.0, 0.1]    ,						UpperCamelCase: List[Any]=[True, True, True]    ,						UpperCamelCase: Optional[int]=[False, False, True]    ,						UpperCamelCase: Optional[Any]=["dw_bn", "dw_bn", "dw_bn"]    ,						UpperCamelCase: Any=[3, 3, 3]    ,						UpperCamelCase: Tuple=[1, 1, 1]    ,						UpperCamelCase: int=[2, 2, 2]    ,						UpperCamelCase: Any=[1, 1, 1]    ,						UpperCamelCase: List[str]=[1, 1, 1]    ,						UpperCamelCase: Union[str, Any]=0.02    ,						UpperCamelCase: Optional[int]=1e-1_2    ,						**UpperCamelCase: Optional[Any]    ,						):






         """simple docstring"""


         super().__init__(**UpperCamelCase       )
         A__										=  num_channels
         A__										=  patch_sizes
         A__										=  patch_stride
         A__										=  patch_padding
         A__										=  embed_dim
         A__										=  num_heads
         A__										=  depth
         A__										=  mlp_ratio
         A__										=  attention_drop_rate
         A__										=  drop_rate
         A__										=  drop_path_rate
         A__										=  qkv_bias
         A__										=  cls_token
         A__										=  qkv_projection_method
         A__										=  kernel_qkv
         A__										=  padding_kv
         A__										=  stride_kv
         A__										=  padding_q
         A__										=  stride_q
         A__										=  initializer_range
         A__										=  layer_norm_eps









"""simple docstring"""



from collections import defaultdict





def  _snake_case     (    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  _snake_case     (    ):
     dfs(1			)


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_  ,SCREAMING_SNAKE_CASE_					:	Any							  =						1_0, 9
 SCREAMING_SNAKE_CASE_					:	Any							  =						defaultdict(list)
 SCREAMING_SNAKE_CASE_					:	dict[int, bool]							  =						{}
 SCREAMING_SNAKE_CASE_					:	list[int]							  =						[]
 SCREAMING_SNAKE_CASE_					:	Optional[int]							  =						0
 SCREAMING_SNAKE_CASE_					:	Any							  =						[(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)






