


'''simple docstring'''
def 			_lowercase       (				UpperCamelCase__       :					Union[str, Any],				UpperCamelCase__       :					Optional[Any],				UpperCamelCase__       :					Optional[Any],				UpperCamelCase__       :					Union[str, Any]=None			):
 __A  :		List[str]       =			(path or []) + [u]
 for v in graph[u]:
  if visited_edge[u][v] is False:
   __A  :		Dict       =			True, True
   __A  :		Dict       =			dfs(UpperCamelCase__,				UpperCamelCase__,				UpperCamelCase__,				UpperCamelCase__			)
 return path


def 			_lowercase       (				UpperCamelCase__       :					Optional[int],				UpperCamelCase__       :					List[str]			):
 __A  :		List[Any]       =			0
 __A  :		str       =			-1
 for i in range(UpperCamelCase__			):
  if i not in graph.keys():
   continue
  if len(graph[i]			) % 2 == 1:
   odd_degree_nodes += 1
   __A  :		Union[str, Any]       =			i
 if odd_degree_nodes == 0:
  return 1, odd_node
 if odd_degree_nodes == 2:
  return 2, odd_node
 return 3, odd_node


def 			_lowercase       (				UpperCamelCase__       :					List[str],				UpperCamelCase__       :					Dict			):
 __A  :		Dict       =			[[False for _ in range(max_node + 1			)] for _ in range(max_node + 1			)]
 __A  :		int       =			check_circuit_or_path(UpperCamelCase__,				UpperCamelCase__			)
 if check == 3:
  print('graph is not Eulerian'			)
  print('no path'			)
  return
 __A  :		str       =			1
 if check == 2:
  __A  :		Dict       =			odd_node
  print('graph has a Euler path'			)
 if check == 1:
  print('graph has a Euler cycle'			)
 __A  :		Any       =			dfs(UpperCamelCase__,				UpperCamelCase__,				UpperCamelCase__			)
 print(UpperCamelCase__			)


def 			_lowercase       (				):
 __A  :		Union[str, Any]       =			{1: [2, 3, 4], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [4]}
 __A  :		Tuple       =			{1: [2, 3, 4, 5], 2: [1, 3], 3: [1, 2], 4: [1, 5], 5: [1, 4]}
 __A  :		List[str]       =			{1: [2, 3, 4], 2: [1, 3, 4], 3: [1, 2], 4: [1, 2, 5], 5: [4]}
 __A  :		Optional[int]       =			{1: [2, 3], 2: [1, 3], 3: [1, 2]}
 __A  :		Any       =			{
     1: [],
     2: []
     # all degree is zero
 }
 __A  :		Optional[int]       =			10
 check_euler(UpperCamelCase__,				UpperCamelCase__			)
 check_euler(UpperCamelCase__,				UpperCamelCase__			)
 check_euler(UpperCamelCase__,				UpperCamelCase__			)
 check_euler(UpperCamelCase__,				UpperCamelCase__			)
 check_euler(UpperCamelCase__,				UpperCamelCase__			)


if __name__ == "__main__":
 main()










'''simple docstring'''
from ...configuration_utils import PretrainedConfig
from ...utils import logging


UpperCAmelCase_ :     Dict								=      logging.get_logger(__name__)

UpperCAmelCase_ :     Optional[int]								=      {
    'sayakpaul/vit-msn-base': 'https://huggingface.co/sayakpaul/vit-msn-base/resolve/main/config.json',
    # See all ViT MSN models at https://huggingface.co/models?filter=vit_msn
}

class 						_lowerCamelCase					(    snake_case_				):




 '''simple docstring'''
 __lowercase				:		Tuple    							=						'''vit_msn'''


 def __init__(      self      ,      __lowercase=768      ,      __lowercase=12      ,      __lowercase=12      ,      __lowercase=3_072      ,      __lowercase="gelu"      ,      __lowercase=0.0      ,      __lowercase=0.0      ,      __lowercase=0.0_2      ,      __lowercase=1E-06      ,      __lowercase=224      ,      __lowercase=16      ,      __lowercase=3      ,      __lowercase=True      ,      **__lowercase      ,      ):

  """simple docstring"""







  super().__init__(**__lowercase						)

  __A  :		Tuple       =			hidden_size
  __A  :		Optional[int]       =			num_hidden_layers
  __A  :		str       =			num_attention_heads
  __A  :		Dict       =			intermediate_size
  __A  :		Optional[Any]       =			hidden_act
  __A  :		Union[str, Any]       =			hidden_dropout_prob
  __A  :		Optional[Any]       =			attention_probs_dropout_prob
  __A  :		List[str]       =			initializer_range
  __A  :		Dict       =			layer_norm_eps
  __A  :		List[Any]       =			image_size
  __A  :		Optional[int]       =			patch_size
  __A  :		List[Any]       =			num_channels
  __A  :		Optional[Any]       =			qkv_bias






