from __future__ import annotations

from typing import Any




class   lowercase_    :



	"""simple docstring"""





	def __init__(				self						,     __SCREAMING_SNAKE_CASE							)		->int:
								lowerCAmelCase      						=						num_of_nodes
								lowerCAmelCase      						=						[]
								lowerCAmelCase      						=						{}


	def      SCREAMING_SNAKE_CASE_							(				self						,     __SCREAMING_SNAKE_CASE						,     __SCREAMING_SNAKE_CASE						,     __SCREAMING_SNAKE_CASE							)		->Dict:
								self.m_edges.append([u_node, v_node, weight]							)


	def      SCREAMING_SNAKE_CASE_							(				self						,     __SCREAMING_SNAKE_CASE							)		->str:

								if self.m_component[u_node] == u_node:
															return u_node
								return self.find_component(self.m_component[u_node]							)


	def      SCREAMING_SNAKE_CASE_							(				self						,     __SCREAMING_SNAKE_CASE							)		->Any:

								if self.m_component[u_node] != u_node:
															for k in self.m_component:
																						lowerCAmelCase      						=						self.find_component(lowerCamelCase__							)


	def      SCREAMING_SNAKE_CASE_							(				self						,     __SCREAMING_SNAKE_CASE						,     __SCREAMING_SNAKE_CASE						,     __SCREAMING_SNAKE_CASE							)		->Dict:

								if component_size[u_node] <= component_size[v_node]:
															lowerCAmelCase      						=						v_node
															component_size[v_node] += component_size[u_node]
															self.set_component(lowerCamelCase__							)

								elif component_size[u_node] >= component_size[v_node]:
															lowerCAmelCase      						=						self.find_component(lowerCamelCase__							)
															component_size[u_node] += component_size[v_node]
															self.set_component(lowerCamelCase__							)




	def      SCREAMING_SNAKE_CASE_							(				self							)		->Any:
								lowerCAmelCase      						=						[]
								lowerCAmelCase      						=						0

								lowerCAmelCase      						=						[-1] * self.m_num_of_nodes

								# A list of components (initialized to all of the nodes)
								for node in range(self.m_num_of_nodes							):
															self.m_component.update({node: node}							)
															component_size.append(1							)

								lowerCAmelCase      						=						self.m_num_of_nodes

								while num_of_components > 1:
															for edge in self.m_edges:
																						lowerCAmelCase      						=						edge

																						lowerCAmelCase      						=						self.m_component[u]
																						lowerCAmelCase      						=						self.m_component[v]

																						if u_component != v_component:

																													for component in (u_component, v_component):
																																				if (
																																				    minimum_weight_edge[component] == -1
																																				    or minimum_weight_edge[component][2] > w
																																				):
																																											lowerCAmelCase      						=						[u, v, w]

															for edge in minimum_weight_edge:
																						if isinstance(lowerCamelCase__						,     lowerCamelCase__							):
																													lowerCAmelCase      						=						edge

																													lowerCAmelCase      						=						self.m_component[u]
																													lowerCAmelCase      						=						self.m_component[v]

																													if u_component != v_component:
																																				mst_weight += w
																																				self.union(lowerCamelCase__						,     lowerCamelCase__						,     lowerCamelCase__							)
																																				print(F"Added edge [{u} - {v}]\nAdded weight: {w}\n"							)
																																				num_of_components -= 1

															lowerCAmelCase      						=						[-1] * self.m_num_of_nodes
								print(F"The total weight of the minimal spanning tree is: {mst_weight}"							)

def   SCREAMING_SNAKE_CASE_	(		)	->      str:
							pass


if __name__ == "__main__":
	import doctest

	doctest.testmod()




from collections import OrderedDict
from typing import List, Mapping

from packaging import version

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


a  :      Optional[int]            =    logging.get_logger(__name__)

a  :      Optional[Any]            =    {
    """google/efficientnet-b7""": """https://huggingface.co/google/efficientnet-b7/resolve/main/config.json""",
}

class 					_lowercase    (     UpperCAmelCase__			):






    '''simple docstring'''
    SCREAMING_SNAKE_CASE:				Dict          =    'efficientnet'




    def __init__(    self       ,						lowerCamelCase__ = 3       ,						lowerCamelCase__ = 600       ,						lowerCamelCase__ = 2.0       ,						lowerCamelCase__ = 3.1       ,						lowerCamelCase__ = 8       ,						lowerCamelCase__ = [3, 3, 5, 3, 5, 5, 3]       ,						lowerCamelCase__ = [32, 16, 24, 40, 80, 112, 192]       ,						lowerCamelCase__ = [16, 24, 40, 80, 112, 192, 320]       ,						lowerCamelCase__ = []       ,						lowerCamelCase__ = [1, 2, 2, 2, 1, 2, 1]       ,						lowerCamelCase__ = [1, 2, 2, 3, 3, 4, 1]       ,						lowerCamelCase__ = [1, 6, 6, 6, 6, 6, 6]       ,						lowerCamelCase__ = 0.2_5       ,						lowerCamelCase__ = "swish"       ,						lowerCamelCase__ = 2_560       ,						lowerCamelCase__ = "mean"       ,						lowerCamelCase__ = 0.0_2       ,						lowerCamelCase__ = 0.0_0_1       ,						lowerCamelCase__ = 0.9_9       ,						lowerCamelCase__ = 0.5       ,						lowerCamelCase__ = 0.2       ,						**lowerCamelCase__       ,						):
       super().__init__(**lowerCamelCase__ )

       lowerCAmelCase_:							str       =	num_channels
       lowerCAmelCase_:							str       =	image_size
       lowerCAmelCase_:							int       =	width_coefficient
       lowerCAmelCase_:							Union[str, Any]       =	depth_coefficient
       lowerCAmelCase_:							int       =	depth_divisor
       lowerCAmelCase_:							List[str]       =	kernel_sizes
       lowerCAmelCase_:							Tuple       =	in_channels
       lowerCAmelCase_:							List[str]       =	out_channels
       lowerCAmelCase_:							List[str]       =	depthwise_padding
       lowerCAmelCase_:							Optional[int]       =	strides
       lowerCAmelCase_:							List[str]       =	num_block_repeats
       lowerCAmelCase_:							Any       =	expand_ratios
       lowerCAmelCase_:							List[Any]       =	squeeze_expansion_ratio
       lowerCAmelCase_:							Optional[int]       =	hidden_act
       lowerCAmelCase_:							Optional[int]       =	hidden_dim
       lowerCAmelCase_:							Dict       =	pooling_type
       lowerCAmelCase_:							Optional[Any]       =	initializer_range
       lowerCAmelCase_:							int       =	batch_norm_eps
       lowerCAmelCase_:							List[str]       =	batch_norm_momentum
       lowerCAmelCase_:							List[Any]       =	dropout_rate
       lowerCAmelCase_:							Union[str, Any]       =	drop_connect_rate
       lowerCAmelCase_:							Tuple       =	sum(lowerCamelCase__ ) * 4





class 					_lowercase    (     UpperCAmelCase__			):






    '''simple docstring'''
    SCREAMING_SNAKE_CASE:				Optional[Any]          =    version.parse('1.11'			)




    @property
    def      _a    (    self ):
       return OrderedDict(
           [
               ("pixel_values", {0: "batch", 1: "num_channels", 2: "height", 3: "width"}),
           ] )




    @property
    def      _a    (    self ):
       return 1E-5