
"""simple docstring"""







import re
from pathlib import Path
from unittest import TestCase

import pytest






@pytest.mark.integration
class 				__A    (	lowerCamelCase_      ):






 """simple docstring"""




 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					Dict:

     with open(__snake_case			,   encoding='''utf-8'''						) as input_file:
         a					=re.compile(r'''(?!.*\b(?:encoding|rb|w|wb|w+|wb+|ab|ab+)\b)(?<=\s)(open)\((.*)\)'''						)
         a					=input_file.read()
         a					=regexp.search(__snake_case						)

     return match


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					List[Any]:

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

     a					=[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 				SCREAMING_SNAKE_CASE							(		self						) ->					Tuple:
     a					=Path('''./datasets'''						)
     a					=list(dataset_paths.absolute().glob('''**/*.py'''						)						)

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





 def 				SCREAMING_SNAKE_CASE							(		self						) ->					int:
     a					=Path('''./datasets'''						)
     a					=list(dataset_paths.absolute().glob('''**/*.py'''						)						)

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



"""simple docstring"""







from __future__ import annotations

from typing import Generic, TypeVar

lowerCamelCase_       :       List[Any]      						=  TypeVar("""T""")






class 				__A    (	Generic[T]      ):






 """simple docstring"""




 def __init__(		self			,   __A						) ->					None:
     a					=data
     a					=self
     a					=0






class 				__A    (	Generic[T]      ):






 """simple docstring"""




 def __init__(		self						) ->					None:
     # map from node name to the node object
     a					={}


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					None:
     # create a new set with x as its member
     a					=DisjointSetTreeNode(__A						)


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					DisjointSetTreeNode[T]:
     # find the set x belongs to (with path-compression)
     a					=self.map[data]
     if elem_ref != elem_ref.parent:
         a					=self.find_set(elem_ref.parent.data						)
     return elem_ref.parent


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A			,   __A						) ->					None:
     # helper function for union operation
     if nodea.rank > nodea.rank:
         a					=nodea
     else:
         a					=nodea
         if nodea.rank == nodea.rank:
             nodea.rank += 1





 def 				SCREAMING_SNAKE_CASE							(		self			,   __A			,   __A						) ->					None:
     # merge 2 disjoint sets
     self.link(self.find_set(__A						)			,   self.find_set(__A						)						)






class 				__A    (	Generic[T]      ):






 """simple docstring"""




 def __init__(		self						) ->					None:
     # connections: map from the node to the neighbouring nodes (with weights)
     a					={}


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A						) ->					None:
     # add a node ONLY if its not present in the graph
     if node not in self.connections:
         a					={}


 def 				SCREAMING_SNAKE_CASE							(		self			,   __A			,   __A			,   __A						) ->					None:
     # add an edge with the given weight
     self.add_node(__A						)
     self.add_node(__A						)
     a					=weight
     a					=weight





 def 				SCREAMING_SNAKE_CASE							(		self						) ->					GraphUndirectedWeighted[T]:
     a					=[]
     a					=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 __A						: x[2]						)

     # creating the disjoint set
     a					=DisjointSetTree[T]()
     for node in self.connections:
         disjoint_set.make_set(__A						)

     # MST generation
     a					=0
     a					=0
     a					=GraphUndirectedWeighted[T]()
     while num_edges < len(self.connections						) - 1:
         a		,				a		,				a					=edges[index]
         index += 1
         a					=disjoint_set.find_set(__A						)
         a					=disjoint_set.find_set(__A						)
         if parent_u != parent_v:
             num_edges += 1
             graph.add_edge(__A			,   __A			,   __A						)
             disjoint_set.union(__A			,   __A						)
     return graph