






"""simple docstring"""
from __future__ import annotations

from typing import Generic, TypeVar

lowerCamelCase_       			=   TypeVar('''T''')







class     UpperCamelCase_ (Generic[T]  ):





	def __init__(   self      :				int			,			lowerCAmelCase_      :				T		)		->    None:
				UpperCAmelCase_  :				Optional[Any]      =      data
				UpperCAmelCase_  :				Any      =      self
				UpperCAmelCase_  :				Tuple      =      0







class     UpperCamelCase_ (Generic[T]  ):





	def __init__(   self      :				Union[str, Any]		)		->    None:
				# map from node name to the node object
				UpperCAmelCase_  :				dict[T, DisjointSetTreeNode[T]]      =      {}





	def   _SCREAMING_SNAKE_CASE   (   self      :				Tuple			,			lowerCAmelCase_      :				T		)		->    None:
				# create a new set with x as its member
				UpperCAmelCase_  :				Dict      =      DisjointSetTreeNode(lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				Union[str, Any]			,			lowerCAmelCase_      :				T		)		->    DisjointSetTreeNode[T]:
				# find the set x belongs to (with path-compression)
				UpperCAmelCase_  :				str      =      self.map[data]
				if elem_ref != elem_ref.parent:
							UpperCAmelCase_  :				Optional[Any]      =      self.find_set(elem_ref.parent.data		)
				return elem_ref.parent





	def   _SCREAMING_SNAKE_CASE   (   self      :				Dict			,			lowerCAmelCase_      :				DisjointSetTreeNode[T]			,			lowerCAmelCase_      :				DisjointSetTreeNode[T]		)		->    None:
				# helper function for union operation
				if nodea.rank > nodea.rank:
							UpperCAmelCase_  :				List[Any]      =      nodea
				else:
							UpperCAmelCase_  :				int      =      nodea
							if nodea.rank == nodea.rank:
										nodea.rank += 1





	def   _SCREAMING_SNAKE_CASE   (   self      :				Union[str, Any]			,			lowerCAmelCase_      :				T			,			lowerCAmelCase_      :				T		)		->    None:
				# merge 2 disjoint sets
				self.link(self.find_set(lowerCAmelCase_		)			,			self.find_set(lowerCAmelCase_		)		)







class     UpperCamelCase_ (Generic[T]  ):





	def __init__(   self      :				Optional[int]		)		->    None:
				# connections: map from the node to the neighbouring nodes (with weights)
				UpperCAmelCase_  :				dict[T, dict[T, int]]      =      {}





	def   _SCREAMING_SNAKE_CASE   (   self      :				Optional[int]			,			lowerCAmelCase_      :				T		)		->    None:
				# add a node ONLY if its not present in the graph
				if node not in self.connections:
							UpperCAmelCase_  :				int      =      {}





	def   _SCREAMING_SNAKE_CASE   (   self      :				Dict			,			lowerCAmelCase_      :				T			,			lowerCAmelCase_      :				T			,			lowerCAmelCase_      :				int		)		->    None:
				# add an edge with the given weight
				self.add_node(lowerCAmelCase_		)
				self.add_node(lowerCAmelCase_		)
				UpperCAmelCase_  :				Optional[Any]      =      weight
				UpperCAmelCase_  :				Union[str, Any]      =      weight





	def   _SCREAMING_SNAKE_CASE   (   self      :				Optional[Any]		)		->    GraphUndirectedWeighted[T]:
				UpperCAmelCase_  :				Union[str, Any]      =      []
				UpperCAmelCase_  :				Optional[Any]      =      set()
				for start in self.connections:
							for end in self.connections[start]:
										if (start, end) not in seen:
													seen.add((end, start)		)
													edges.append((start, end, self.connections[start][end])		)
				edges.sort(key=lambda lowerCAmelCase_		: x[2]		)

				# creating the disjoint set
				UpperCAmelCase_  :				List[str]      =      DisjointSetTree[T]()
				for node in self.connections:
							disjoint_set.make_set(lowerCAmelCase_		)

				# MST generation
				UpperCAmelCase_  :				List[str]      =      0
				UpperCAmelCase_  :				Any      =      0
				UpperCAmelCase_  :				int      =      GraphUndirectedWeighted[T]()
				while num_edges < len(self.connections		) - 1:
							UpperCAmelCase_  ,			UpperCAmelCase_  ,			UpperCAmelCase_  :				Optional[int]      =      edges[index]
							index += 1
							UpperCAmelCase_  :				int      =      disjoint_set.find_set(lowerCAmelCase_		)
							UpperCAmelCase_  :				Union[str, Any]      =      disjoint_set.find_set(lowerCAmelCase_		)
							if parent_u != parent_v:
										num_edges += 1
										graph.add_edge(lowerCAmelCase_			,			lowerCAmelCase_			,			lowerCAmelCase_		)
										disjoint_set.union(lowerCAmelCase_			,			lowerCAmelCase_		)
				return graph











"""simple docstring"""
import json
import os
import tempfile

from transformers.testing_utils import check_json_file_has_correct_format







class     UpperCamelCase_ :
	__magic_name__			   =       None





	def   _SCREAMING_SNAKE_CASE   (   self      :				Any		)		->    List[Any]:
				UpperCAmelCase_  :				Tuple      =      self.feature_extraction_class(**self.feat_extract_dict		)
				UpperCAmelCase_  :				Union[str, Any]      =      json.loads(feat_extract.to_json_string()		)
				for key, value in self.feat_extract_dict.items():
							self.assertEqual(obj[key]			,			lowerCAmelCase_		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				str		)		->    int:
				UpperCAmelCase_  :				Dict      =      self.feature_extraction_class(**self.feat_extract_dict		)

				with tempfile.TemporaryDirectory() as tmpdirname:
							UpperCAmelCase_  :				List[Any]      =      os.path.join(lowerCAmelCase_			,			"feat_extract.json"		)
							feat_extract_first.to_json_file(lowerCAmelCase_		)
							UpperCAmelCase_  :				Any      =      self.feature_extraction_class.from_json_file(lowerCAmelCase_		)

				self.assertEqual(feat_extract_second.to_dict()			,			feat_extract_first.to_dict()		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				int		)		->    Dict:
				UpperCAmelCase_  :				Optional[Any]      =      self.feature_extraction_class(**self.feat_extract_dict		)

				with tempfile.TemporaryDirectory() as tmpdirname:
							UpperCAmelCase_  :				Optional[Any]      =      feat_extract_first.save_pretrained(lowerCAmelCase_		)[0]
							check_json_file_has_correct_format(lowerCAmelCase_		)
							UpperCAmelCase_  :				Any      =      self.feature_extraction_class.from_pretrained(lowerCAmelCase_		)

				self.assertEqual(feat_extract_second.to_dict()			,			feat_extract_first.to_dict()		)





	def   _SCREAMING_SNAKE_CASE   (   self      :				Any		)		->    Optional[Any]:
				UpperCAmelCase_  :				Optional[int]      =      self.feature_extraction_class()
				self.assertIsNotNone(lowerCAmelCase_		)



