





def 						lowerCamelCase__     (     UpperCamelCase__			:       list[list[int]]       ,    UpperCamelCase__			:       int       ,    UpperCamelCase__			:       int       ,    UpperCamelCase__			:       list[int]						)			-> bool:



     '''simple docstring'''




     if graph[path[curr_ind - 1]][next_ver] == 0:
          return False

     # 2. Validate that next vertex is not already in path
     return not any(vertex == next_ver for vertex in path						)





def 						lowerCamelCase__     (     UpperCamelCase__			:       list[list[int]]       ,    UpperCamelCase__			:       list[int]       ,    UpperCamelCase__			:       int						)			-> bool:



     '''simple docstring'''




     if curr_ind == len(UpperCamelCase__						):
          # return whether path exists between current and starting vertices
          return graph[path[curr_ind - 1]][path[0]] == 1

     # Recursive Step
     for next_ver in range(0       ,    len(UpperCamelCase__						)						):
          if valid_connection(UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__       ,    UpperCamelCase__						):
               # Insert current vertex  into path as next transition
               _snake_case									=				next_ver
               # Validate created path
               if util_hamilton_cycle(UpperCamelCase__       ,    UpperCamelCase__       ,    curr_ind + 1						):
                    return True
               # Backtrack
               _snake_case									=				-1
     return False





def 						lowerCamelCase__     (     UpperCamelCase__			:       list[list[int]]       ,    UpperCamelCase__			:       int = 0						)			-> list[int]:



     '''simple docstring'''




     _snake_case									=				[-1] * (len(UpperCamelCase__						) + 1)
     # initialize start and end of path with starting index
     _snake_case									=				_snake_case									=				start_index
     # evaluate and if we find answer return path either return empty array
     return path if util_hamilton_cycle(UpperCamelCase__       ,    UpperCamelCase__       ,    1						) else []










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


UpperCAmelCase_      							=     logging.get_logger(__name__)

UpperCAmelCase_      							=     {
    """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 			UpperCamelCase_		(  _lowerCamelCase					):
					lowerCAmelCase_							=	'''vit_msn'''




					def __init__(		self				,						lowerCAmelCase_=768				,						lowerCAmelCase_=12				,						lowerCAmelCase_=12				,						lowerCAmelCase_=3072				,						lowerCAmelCase_="gelu"				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=0.0				,						lowerCAmelCase_=0.02				,						lowerCAmelCase_=1E-06				,						lowerCAmelCase_=224				,						lowerCAmelCase_=16				,						lowerCAmelCase_=3				,						lowerCAmelCase_=True				,						**lowerCAmelCase_				,						)		->							str:
										super().__init__(**lowerCAmelCase_  )

										_snake_case									=				hidden_size
										_snake_case									=				num_hidden_layers
										_snake_case									=				num_attention_heads
										_snake_case									=				intermediate_size
										_snake_case									=				hidden_act
										_snake_case									=				hidden_dropout_prob
										_snake_case									=				attention_probs_dropout_prob
										_snake_case									=				initializer_range
										_snake_case									=				layer_norm_eps
										_snake_case									=				image_size
										_snake_case									=				patch_size
										_snake_case									=				num_channels
										_snake_case									=				qkv_bias



