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Finished delete function and added some prints functions too
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@ -85,9 +85,12 @@ class BinarySearchTree:
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self.__reassignNodes(node, node.getLeft())
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self.__reassignNodes(node, node.getLeft())
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#Has two children
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#Has two children
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else:
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else:
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#Gets the max value of the left branch
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tmpNode = self.getMax(node.getLeft())
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tmpNode = self.getMax(node.getLeft())
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#Deletes the tmpNode
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self.delete(tmpNode.getLabel())
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self.delete(tmpNode.getLabel())
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self.__reassignNodes(node, tmpNode)
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#Assigns the value to the node to delete and keesp tree structure
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node.setLabel(tmpNode.getLabel())
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def getNode(self, label):
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def getNode(self, label):
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curr_node = None
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curr_node = None
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@ -135,11 +138,13 @@ class BinarySearchTree:
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return True
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return True
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return False
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return False
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def preShow(self, curr_node):
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def __InOrderTraversal(self, curr_node):
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nodeList = []
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if curr_node is not None:
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if curr_node is not None:
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print(curr_node.getLabel())
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nodeList.insert(0, curr_node)
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self.preShow(curr_node.getLeft())
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nodeList = nodeList + self.__InOrderTraversal(curr_node.getLeft())
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self.preShow(curr_node.getRight())
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nodeList = nodeList + self.__InOrderTraversal(curr_node.getRight())
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return nodeList
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def getRoot(self):
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def getRoot(self):
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return self.root
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return self.root
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@ -149,19 +154,44 @@ class BinarySearchTree:
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return True
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return True
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return False
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return False
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def __reassignNodes(self,node, newChildren):
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def __reassignNodes(self, node, newChildren):
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if(newChildren is not None):
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if(newChildren is not None):
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newChildren.setParent(node.getParent())
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newChildren.setParent(node.getParent())
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if(node.getParent() is not None):
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if(node.getParent() is not None):
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#If it is the Right Children
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#If it is the Right Children
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if(self.__isRightChildren(node)):a
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if(self.__isRightChildren(node)):
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node.getParent().setRight(newChildren)
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node.getParent().setRight(newChildren)
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else:
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else:
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#Else it is the left children
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#Else it is the left children
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node.getParent().setLeft(newChildren)
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node.getParent().setLeft(newChildren)
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#This function traversal the tree. By default it returns an
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#In order traversal list. You can pass a function to traversal
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#The tree as needed by client code
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def traversalTree(self, traversalFunction = None, root = None):
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if(traversalFunction is None):
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#Returns a list of nodes in preOrder by default
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return self.__InOrderTraversal(self.root)
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else:
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else:
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#It is the root of the tree
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#Returns a list of nodes in the order that the users wants to
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node.setLabel(newChildren.getLabel())
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return traversalFunction(self.root)
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#Returns an string of all the nodes labels in the list
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#In Order Traversal
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def __str__(self):
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list = self.__InOrderTraversal(self.root)
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str = ""
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for x in list:
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str = str + " " + x.getLabel().__str__()
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return str
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def InPreOrder(curr_node):
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nodeList = []
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if curr_node is not None:
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nodeList = nodeList + InPreOrder(curr_node.getLeft())
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nodeList.insert(0, curr_node.getLabel())
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nodeList = nodeList + InPreOrder(curr_node.getRight())
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return nodeList
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def testBinarySearchTree():
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def testBinarySearchTree():
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'''
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'''
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@ -179,16 +209,12 @@ def testBinarySearchTree():
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Example After Deletion
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Example After Deletion
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7
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7
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/ \
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/ \
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3 14
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1 4
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/ \
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1 6
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/
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4
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'''
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'''
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t = BinarySearchTree()
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t = BinarySearchTree()
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t.insert(8)
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t.insert(8)
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t.insert(3)
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t.insert(3)
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t.insert(10)
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t.insert(6)
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t.insert(6)
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t.insert(1)
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t.insert(1)
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t.insert(10)
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t.insert(10)
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@ -197,7 +223,8 @@ def testBinarySearchTree():
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t.insert(4)
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t.insert(4)
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t.insert(7)
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t.insert(7)
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t.preShow(t.getRoot())
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#Prints all the elements of the list in order traversal
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print(t.__str__())
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if(t.getNode(6) is not None):
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if(t.getNode(6) is not None):
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print("The label 6 exists")
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print("The label 6 exists")
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@ -216,8 +243,15 @@ def testBinarySearchTree():
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t.delete(13)
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t.delete(13)
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t.delete(10)
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t.delete(10)
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t.delete(8)
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t.delete(8)
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t.delete(3)
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t.delete(6)
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t.delete(14)
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t.preShow(t.getRoot())
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#Gets all the elements of the tree In pre order
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#And it prints them
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list = t.traversalTree(InPreOrder, t.root)
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for x in list:
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print(x)
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if __name__ == "__main__":
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if __name__ == "__main__":
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testBinarySearchTree()
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testBinarySearchTree()
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