





"""simple docstring"""




from __future__ import annotations

from typing import Any


class        __UpperCamelCase				:






							def __init__(   self      ,					lowerCAmelCase__      )	-> None:
								a      :		Union[str, Any]	=				num_of_nodes
								a      :		list[list[int]]	=				[]
								a      :		dict[int, int]	=				{}






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__      ,					lowerCAmelCase__      )	-> None:
								self.m_edges.append([u_node, v_node, weight]      )






							def     __a   (   self      ,					lowerCAmelCase__      )	-> int:

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






							def     __a   (   self      ,					lowerCAmelCase__      )	-> None:

								if self.m_component[u_node] != u_node:
									for k in self.m_component:
										a      :		Tuple	=				self.find_component(lowerCAmelCase__      )






							def     __a   (   self      ,					lowerCAmelCase__      ,					lowerCAmelCase__      ,					lowerCAmelCase__      )	-> None:

								if component_size[u_node] <= component_size[v_node]:
									a      :		List[Any]	=				v_node
									component_size[v_node] += component_size[u_node]
									self.set_component(lowerCAmelCase__      )

								elif component_size[u_node] >= component_size[v_node]:
									a      :		Dict	=				self.find_component(lowerCAmelCase__      )
									component_size[u_node] += component_size[v_node]
									self.set_component(lowerCAmelCase__      )






							def     __a   (   self      )	-> None:
								a      :		List[str]	=				[]
								a      :		str	=				0

								a      :		list[Any]	=				[-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      )

								a      :		int	=				self.m_num_of_nodes

								while num_of_components > 1:
									for edge in self.m_edges:
										a,       a,       a      :		Any	=				edge

										a      :		Tuple	=				self.m_component[u]
										a      :		List[str]	=				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
												):
													a      :		int	=				[u, v, w]

									for edge in minimum_weight_edge:
										if isinstance(lowerCAmelCase__      ,					lowerCAmelCase__      ):
											a,       a,       a      :		Union[str, Any]	=				edge

											a      :		Any	=				self.m_component[u]
											a      :		str	=				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

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






def       _SCREAMING_SNAKE_CASE		(	) ->None:






	'''simple docstring'''








if __name__ == "__main__":
		import doctest

		doctest.testmod()









"""simple docstring"""




import unittest
from dataclasses import dataclass

import pytest

from accelerate.commands.config.config_args import SageMakerConfig
from accelerate.utils import ComputeEnvironment
from accelerate.utils.launch import _convert_nargs_to_dict


@dataclass
class        __UpperCamelCase				(						a__						):
							lowerCamelCase   :					List[str]      					=ComputeEnvironment.AMAZON_SAGEMAKER
							lowerCamelCase   :					str      					=True
							lowerCamelCase   :					Union[str, Any]      					="""ml.p3.2xlarge"""
							lowerCamelCase   :					str      					="""accelerate_sagemaker_execution_role"""
							lowerCamelCase   :					int      					="""hf-sm"""
							lowerCamelCase   :					int      					="""us-east-1"""
							lowerCamelCase   :					Tuple      					=1
							lowerCamelCase   :					Any      					="""accelerate-sagemaker-1"""
							lowerCamelCase   :					str      					="""1.6"""
							lowerCamelCase   :					Tuple      					="""4.4"""
							lowerCamelCase   :					Optional[int]      					="""train.py"""
							lowerCamelCase   :					Optional[Any]      					=[
							    """--model_name_or_path""",
							    """bert""",
							    """--do_train""",
							    """False""",
							    """--epochs""",
							    """3""",
							    """--learning_rate""",
							    """5e-5""",
							    """--max_steps""",
							    """50.5""",
							]
							lowerCamelCase   :					Union[str, Any]      					=[
							    """--model_name_or_path""",
							    """bert""",
							    """--do_train""",
							    """--do_test""",
							    """False""",
							    """--do_predict""",
							    """--epochs""",
							    """3""",
							    """--learning_rate""",
							    """5e-5""",
							    """--max_steps""",
							    """50.5""",
							]


class        __UpperCamelCase				(						unittest.TestCase						):






							def     __a   (   self      )	-> List[str]:
								# If no defaults are changed, `to_kwargs` returns an empty dict.
								a      :		str	=				_convert_nargs_to_dict(MockLaunchConfig.success_training_script_args      )
								assert isinstance(converted_args["model_name_or_path"]      ,					lowerCAmelCase__      )
								assert isinstance(converted_args["do_train"]      ,					lowerCAmelCase__      )
								assert isinstance(converted_args["epochs"]      ,					lowerCAmelCase__      )
								assert isinstance(converted_args["learning_rate"]      ,					lowerCAmelCase__      )
								assert isinstance(converted_args["max_steps"]      ,					lowerCAmelCase__      )

								with pytest.raises(lowerCAmelCase__      ):
									_convert_nargs_to_dict(MockLaunchConfig.fail_training_script_args      )


