
A		:   Optional[Any]         =    {
    0: '''underwear''',
    1: '''pants''',
    2: '''belt''',
    3: '''suit''',
    4: '''shoe''',
    5: '''socks''',
    6: '''shirt''',
    7: '''tie''',
    8: '''watch''',
}

A		:   List[Any]         =    [[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

A		:   Optional[int]         =    [0 for x in range(len(graph))]
A		:   Tuple         =    []




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  int		,      SCREAMING_SNAKE_CASE_  :  Optional[Any]					)     ->    str:
						_lowercase									=				1
						while stack:
												_lowercase									=				stack.pop()
												print(SCREAMING_SNAKE_CASE_		,      clothes[current_clothing]					)
												order += 1




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  str		,      SCREAMING_SNAKE_CASE_  :  Tuple		,      SCREAMING_SNAKE_CASE_  :  int					)     ->    Any:
						_lowercase									=				1
						for v in graph[u]:
												if not visited[v]:
																		depth_first_search(SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_					)

						stack.append(SCREAMING_SNAKE_CASE_					)




def   UpperCamelCase__     (    SCREAMING_SNAKE_CASE_  :  List[Any]		,      SCREAMING_SNAKE_CASE_  :  str					)     ->    Optional[int]:
						for v in range(len(SCREAMING_SNAKE_CASE_					)					):
												if not visited[v]:
																		depth_first_search(SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_		,      SCREAMING_SNAKE_CASE_					)


if __name__ == "__main__":
		topological_sort(graph, visited)
		print(stack)
		print_stack(stack, clothes)

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


A		:   List[Any]         =    logging.get_logger(__name__)

A		:   str         =    {
    '''MCG-NJU/videomae-base''': '''https://huggingface.co/MCG-NJU/videomae-base/resolve/main/config.json''',
}



class       a_   ( _a						):
			a  : str				      =       '''videomae'''






			def __init__(			self							, __UpperCamelCase=224							, __UpperCamelCase=16							, __UpperCamelCase=3							, __UpperCamelCase=16							, __UpperCamelCase=2							, __UpperCamelCase=768							, __UpperCamelCase=12							, __UpperCamelCase=12							, __UpperCamelCase=3_072							, __UpperCamelCase="gelu"							, __UpperCamelCase=0.0							, __UpperCamelCase=0.0							, __UpperCamelCase=0.02							, __UpperCamelCase=1E-12							, __UpperCamelCase=True							, __UpperCamelCase=True							, __UpperCamelCase=6							, __UpperCamelCase=384							, __UpperCamelCase=4							, __UpperCamelCase=1_536							, __UpperCamelCase=True							, **__UpperCamelCase							, ):
									super().__init__(**__UpperCamelCase     )

									_lowercase									=				image_size
									_lowercase									=				patch_size
									_lowercase									=				num_channels
									_lowercase									=				num_frames
									_lowercase									=				tubelet_size

									_lowercase									=				hidden_size
									_lowercase									=				num_hidden_layers
									_lowercase									=				num_attention_heads
									_lowercase									=				intermediate_size
									_lowercase									=				hidden_act
									_lowercase									=				hidden_dropout_prob
									_lowercase									=				attention_probs_dropout_prob
									_lowercase									=				initializer_range
									_lowercase									=				layer_norm_eps
									_lowercase									=				qkv_bias
									_lowercase									=				use_mean_pooling

									_lowercase									=				decoder_num_attention_heads
									_lowercase									=				decoder_hidden_size
									_lowercase									=				decoder_num_hidden_layers
									_lowercase									=				decoder_intermediate_size
									_lowercase									=				norm_pix_loss