


from __future__ import annotations

from typing import Any







class        lowerCamelCase__	:






			"""simple docstring"""






			def __init__(							self      ,						snake_case     ):

						'''simple docstring'''


						UpperCamelCase__					=       num_of_nodes
						UpperCamelCase__					=       []
						UpperCamelCase__					=       {}




			def 				snake_case__				(							self      ,						snake_case      ,						snake_case      ,						snake_case     ):

						'''simple docstring'''


						self.m_edges.append([u_node, v_node, weight]     )




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


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




			def 				snake_case__				(							self      ,						snake_case     ):

						'''simple docstring'''


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




			def 				snake_case__				(							self      ,						snake_case      ,						snake_case      ,						snake_case     ):

						'''simple docstring'''


						if component_size[u_node] <= component_size[v_node]:
									UpperCamelCase__					=       v_node
									component_size[v_node] += component_size[u_node]
									self.set_component(lowercase_     )

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







			def 				snake_case__				(							self     ):

						'''simple docstring'''


						UpperCamelCase__					=       []
						UpperCamelCase__					=       0

						UpperCamelCase__					=       [-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     )

						UpperCamelCase__					=       self.m_num_of_nodes

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

												UpperCamelCase__					=       self.m_component[u]
												UpperCamelCase__					=       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
																		):
																					UpperCamelCase__					=       [u, v, w]

									for edge in minimum_weight_edge:
												if isinstance(lowercase_      ,						lowercase_     ):
															UpperCamelCase__					=       edge

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

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

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



def 			UpperCamelCase_(				)->		str:
			pass








if __name__ == "__main__":
						import doctest

						doctest.testmod()






from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_sentencepiece_available,
    is_speech_available,
    is_torch_available,
)


__UpperCamelCase    		=       {
    'configuration_trocr': ['TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP', 'TrOCRConfig'],
    'processing_trocr': ['TrOCRProcessor'],
}


try:
						if not is_torch_available():
												raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
						pass
else:
						__UpperCamelCase    		=       [
						    'TROCR_PRETRAINED_MODEL_ARCHIVE_LIST',
						    'TrOCRForCausalLM',
						    'TrOCRPreTrainedModel',
						]


if TYPE_CHECKING:
						from .configuration_trocr import TROCR_PRETRAINED_CONFIG_ARCHIVE_MAP, TrOCRConfig
						from .processing_trocr import TrOCRProcessor

						try:
												if not is_torch_available():
																		raise OptionalDependencyNotAvailable()
						except OptionalDependencyNotAvailable:
												pass
						else:
												from .modeling_trocr import TROCR_PRETRAINED_MODEL_ARCHIVE_LIST, TrOCRForCausalLM, TrOCRPreTrainedModel

else:
						import sys

						__UpperCamelCase    		=       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


