


from __future__ import annotations

from typing import Generic, TypeVar

UpperCAmelCase_      : List[Any]  					=       TypeVar('T')
class  SCREAMING_SNAKE_CASE__  (				Generic[T]			):
      def __init__(       self				:       Optional[Any]     ,							SCREAMING_SNAKE_CASE__				:       T     )		->			None:
             a_					:		Optional[int]							=  data
             a_					:		int							=  self
             a_					:		str							=  0
class  SCREAMING_SNAKE_CASE__  (				Generic[T]			):
      def __init__(       self				:       Optional[Any]     )		->			None:
             # map from node name to the node object
             a_					:		dict[T, DisjointSetTreeNode[T]]							=  {}
      def        SCREAMING_SNAKE_CASE							(       self				:       List[Any]     ,							SCREAMING_SNAKE_CASE__				:       T     )		->			None:
             # create a new set with x as its member
             a_					:		Dict							=  DisjointSetTreeNode(SCREAMING_SNAKE_CASE__     )
      def        SCREAMING_SNAKE_CASE							(       self				:       Optional[int]     ,							SCREAMING_SNAKE_CASE__				:       T     )		->			DisjointSetTreeNode[T]:
             # find the set x belongs to (with path-compression)
             a_					:		List[Any]							=  self.map[data]
             if elem_ref != elem_ref.parent:
                    a_					:		Union[str, Any]							=  self.find_set(elem_ref.parent.data     )
             return elem_ref.parent
      def        SCREAMING_SNAKE_CASE							(       self				:       Dict     ,							SCREAMING_SNAKE_CASE__				:       DisjointSetTreeNode[T]     ,							SCREAMING_SNAKE_CASE__				:       DisjointSetTreeNode[T]     )		->			None:
             # helper function for union operation
             if nodea.rank > nodea.rank:
                    a_					:		List[str]							=  nodea
             else:
                    a_					:		Optional[Any]							=  nodea
                    if nodea.rank == nodea.rank:
                           nodea.rank += 1

      def        SCREAMING_SNAKE_CASE							(       self				:       Optional[int]     ,							SCREAMING_SNAKE_CASE__				:       T     ,							SCREAMING_SNAKE_CASE__				:       T     )		->			None:
             # merge 2 disjoint sets
             self.link(self.find_set(SCREAMING_SNAKE_CASE__     )     ,							self.find_set(SCREAMING_SNAKE_CASE__     )     )
class  SCREAMING_SNAKE_CASE__  (				Generic[T]			):
      def __init__(       self				:       Optional[int]     )		->			None:
             # connections: map from the node to the neighbouring nodes (with weights)
             a_					:		dict[T, dict[T, int]]							=  {}
      def        SCREAMING_SNAKE_CASE							(       self				:       Optional[Any]     ,							SCREAMING_SNAKE_CASE__				:       T     )		->			None:
             # add a node ONLY if its not present in the graph
             if node not in self.connections:
                    a_					:		Optional[Any]							=  {}
      def        SCREAMING_SNAKE_CASE							(       self				:       str     ,							SCREAMING_SNAKE_CASE__				:       T     ,							SCREAMING_SNAKE_CASE__				:       T     ,							SCREAMING_SNAKE_CASE__				:       int     )		->			None:
             # add an edge with the given weight
             self.add_node(SCREAMING_SNAKE_CASE__     )
             self.add_node(SCREAMING_SNAKE_CASE__     )
             a_					:		List[str]							=  weight
             a_					:		List[Any]							=  weight

      def        SCREAMING_SNAKE_CASE							(       self				:       List[str]     )		->			GraphUndirectedWeighted[T]:
             a_					:		Tuple							=  []
             a_					:		Dict							=  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 SCREAMING_SNAKE_CASE__     : x[2]     )

             # creating the disjoint set
             a_					:		List[Any]							=  DisjointSetTree[T]()
             for node in self.connections:
                    disjoint_set.make_set(SCREAMING_SNAKE_CASE__     )

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









import re
from pathlib import Path
from unittest import TestCase

import pytest






@pytest.mark.integration
class     lowercase__       (	__lowerCamelCase				):

   '''simple docstring'''


   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Union[str, Any]:






       """simple docstring"""

       with open(__magic_name__,		encoding='''utf-8'''							) as input_file:
           UpperCamelCase__							:				Tuple          =      re.compile(R'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''							)
           UpperCamelCase__							:				str          =      input_file.read()
           UpperCamelCase__							:				List[Any]          =      regexp.search(__magic_name__							)

       return match




   def       UpperCamelCase__  (    self,		__magic_name__							) ->      Any:






       """simple docstring"""

       with open(__magic_name__,		encoding='''utf-8'''							) as input_file:
           UpperCamelCase__							:				Dict          =      re.compile(R'''#[^\r\n]*print\(|\"[^\r\n]*print\(|\"\"\".*?print\(.*?\"\"\"|(print\()''',		re.DOTALL							)
           UpperCamelCase__							:				Any          =      input_file.read()
           # use `re.finditer` to handle the case where the ignored groups would be matched first by `re.search`
           UpperCamelCase__							:				Tuple          =      regexp.finditer(__magic_name__							)

       UpperCamelCase__							:				Dict          =      [match for match in matches if match is not None and match.group(1							) is not None]
       return matches[0] if matches else None




   def       UpperCamelCase__  (    self							) ->      List[Any]:






       """simple docstring"""
       UpperCamelCase__							:				int          =      Path('''./datasets'''							)
       UpperCamelCase__							:				Any          =      list(dataset_paths.absolute().glob('''**/*.py'''							)							)

       for dataset in dataset_files:
           if self._no_encoding_on_file_open(str(__magic_name__							)							):
               raise AssertionError(f"open(...) must use utf-8 encoding in {dataset}"							)




   def       UpperCamelCase__  (    self							) ->      Dict:






       """simple docstring"""
       UpperCamelCase__							:				Optional[int]          =      Path('''./datasets'''							)
       UpperCamelCase__							:				Optional[Any]          =      list(dataset_paths.absolute().glob('''**/*.py'''							)							)

       for dataset in dataset_files:
           if self._no_print_statements(str(__magic_name__							)							):
               raise AssertionError(f"print statement found in {dataset}. Use datasets.logger/logging instead."							)

