





'''simple docstring'''




from collections import OrderedDict
from typing import Mapping

from packaging import version

from ...configuration_utils import PretrainedConfig
from ...onnx import OnnxConfig
from ...utils import logging


a__				: Dict									=    logging.get_logger(__name__)

a__				: Tuple									=    {
    '''apple/mobilevitv2-1.0''': '''https://huggingface.co/apple/mobilevitv2-1.0/resolve/main/config.json''',
}






class 							__snake_case    (				__magic_name__       ):
	__lowerCAmelCase						=     '''mobilevitv2'''





	def __init__(		self			,					UpperCamelCase_=3			,					UpperCamelCase_=256			,					UpperCamelCase_=2			,					UpperCamelCase_=2.0			,					UpperCamelCase_="swish"			,					UpperCamelCase_=3			,					UpperCamelCase_=32			,					UpperCamelCase_=0.1			,					UpperCamelCase_=0.0_2			,					UpperCamelCase_=1E-5			,					UpperCamelCase_=512			,					UpperCamelCase_=[6, 12, 18]			,					UpperCamelCase_=0.1			,					UpperCamelCase_=255			,					UpperCamelCase_=[2, 4, 3]			,					UpperCamelCase_=[128, 192, 256]			,					UpperCamelCase_=1.0			,					UpperCamelCase_=2			,					UpperCamelCase_=0.0			,					UpperCamelCase_=0.0			,					**UpperCamelCase_			,					)			->		Union[str, Any]:
		super().__init__(**UpperCamelCase_		)

		snake_case__  					=      num_channels
		snake_case__  					=      image_size
		snake_case__  					=      patch_size
		snake_case__  					=      expand_ratio
		snake_case__  					=      hidden_act
		snake_case__  					=      conv_kernel_size
		snake_case__  					=      output_stride
		snake_case__  					=      initializer_range
		snake_case__  					=      layer_norm_eps
		snake_case__  					=      n_attn_blocks
		snake_case__  					=      base_attn_unit_dims
		snake_case__  					=      width_multiplier
		snake_case__  					=      ffn_multiplier
		snake_case__  					=      ffn_dropout
		snake_case__  					=      attn_dropout
		snake_case__  					=      classifier_dropout_prob

		# decode head attributes for semantic segmentation
		snake_case__  					=      aspp_out_channels
		snake_case__  					=      atrous_rates
		snake_case__  					=      aspp_dropout_prob
		snake_case__  					=      semantic_loss_ignore_index






class 							__snake_case    (				__magic_name__       ):
	__lowerCAmelCase						=     version.parse('''1.11'''       )





	@property
	def      _snake_case      (		self		)			->		Mapping[str, Mapping[int, str]]:
		return OrderedDict([('pixel_values', {0: 'batch', 1: 'num_channels', 2: 'height', 3: 'width'})]		)





	@property
	def      _snake_case      (		self		)			->		Mapping[str, Mapping[int, str]]:
		if self.task == "image-classification":
			return OrderedDict([('logits', {0: 'batch'})]		)
		else:
			return OrderedDict([('last_hidden_state', {0: 'batch'}), ('pooler_output', {0: 'batch'})]		)





	@property
	def      _snake_case      (		self		)			->		float:
		return 1E-4










'''simple docstring'''




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

a__				: Optional[Any]									=    [[1, 4], [2, 4], [3], [], [], [4], [2, 7], [3], []]

a__				: List[str]									=    [0 for x in range(len(graph))]
a__				: List[Any]									=    []




def 	__lowerCamelCase (  UpperCAmelCase_				,							UpperCAmelCase_       )      ->Dict:
	snake_case__  					=      1
	while stack:
		snake_case__  					=      stack.pop()
		print(UpperCAmelCase_				,							clothes[current_clothing]       )
		order += 1




def 	__lowerCamelCase (  UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_       )      ->Dict:
	snake_case__  					=      1
	for v in graph[u]:
		if not visited[v]:
			depth_first_search(UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_       )

	stack.append(UpperCAmelCase_       )




def 	__lowerCamelCase (  UpperCAmelCase_				,							UpperCAmelCase_       )      ->Union[str, Any]:
	for v in range(len(UpperCAmelCase_       )       ):
		if not visited[v]:
			depth_first_search(UpperCAmelCase_				,							UpperCAmelCase_				,							UpperCAmelCase_       )


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



