



from __future__ import annotations

from typing import Generic, TypeVar

UpperCAmelCase							 =					TypeVar("""T""")

class  __snake_case      (   Generic[T]):







       '''simple docstring'''






       def __init__(							self  ,  a_		):
           a__				      =		data
           a__				      =		self
           a__				      =		0




class  __snake_case      (   Generic[T]):







       '''simple docstring'''






       def __init__(							self		):
           # map from node name to the node object
           a__				      =		{}


       def _a      (							self  ,  a_		):
           # create a new set with x as its member
           a__				      =		DisjointSetTreeNode(a_		)


       def _a      (							self  ,  a_		):
           # 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 _a      (							self  ,  a_  ,  a_		):
           # helper function for union operation
           if nodea.rank > nodea.rank:
               a__				      =		nodea
           else:
               a__				      =		nodea
               if nodea.rank == nodea.rank:
                   nodea.rank += 1







       def _a      (							self  ,  a_  ,  a_		):
           # merge 2 disjoint sets
           self.link(self.find_set(a_		)  ,  self.find_set(a_		)		)




class  __snake_case      (   Generic[T]):







       '''simple docstring'''






       def __init__(							self		):
           # connections: map from the node to the neighbouring nodes (with weights)
           a__				      =		{}


       def _a      (							self  ,  a_		):
           # add a node ONLY if its not present in the graph
           if node not in self.connections:
               a__				      =		{}


       def _a      (							self  ,  a_  ,  a_  ,  a_		):
           # add an edge with the given weight
           self.add_node(a_		)
           self.add_node(a_		)
           a__				      =		weight
           a__				      =		weight







       def _a      (							self		):
           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






from .configuration_bert_masked import MaskedBertConfig
from .modeling_bert_masked import (
    MaskedBertForMultipleChoice,
    MaskedBertForQuestionAnswering,
    MaskedBertForSequenceClassification,
    MaskedBertForTokenClassification,
    MaskedBertModel,
)
from .modules import *

