mirror of
https://github.com/TheAlgorithms/Python.git
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259 lines
7.7 KiB
Python
259 lines
7.7 KiB
Python
'''
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A binary search Tree
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'''
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from __future__ import print_function
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class Node:
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def __init__(self, label, parent):
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self.label = label
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self.left = None
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self.right = None
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#Added in order to delete a node easier
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self.parent = parent
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def getLabel(self):
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return self.label
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def setLabel(self, label):
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self.label = label
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def getLeft(self):
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return self.left
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def setLeft(self, left):
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self.left = left
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def getRight(self):
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return self.right
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def setRight(self, right):
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self.right = right
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def getParent(self):
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return self.parent
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def setParent(self, parent):
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self.parent = parent
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class BinarySearchTree:
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def __init__(self):
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self.root = None
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def insert(self, label):
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# Create a new Node
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new_node = Node(label, None)
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# If Tree is empty
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if self.empty():
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self.root = new_node
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else:
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#If Tree is not empty
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curr_node = self.root
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#While we don't get to a leaf
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while curr_node is not None:
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#We keep reference of the parent node
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parent_node = curr_node
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#If node label is less than current node
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if new_node.getLabel() < curr_node.getLabel():
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#We go left
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curr_node = curr_node.getLeft()
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else:
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#Else we go right
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curr_node = curr_node.getRight()
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#We insert the new node in a leaf
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if new_node.getLabel() < parent_node.getLabel():
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parent_node.setLeft(new_node)
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else:
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parent_node.setRight(new_node)
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#Set parent to the new node
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new_node.setParent(parent_node)
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def delete(self, label):
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if (not self.empty()):
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#Look for the node with that label
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node = self.getNode(label)
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#If the node exists
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if(node is not None):
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#If it has no children
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if(node.getLeft() is None and node.getRight() is None):
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self.__reassignNodes(node, None)
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node = None
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#Has only right children
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elif(node.getLeft() is None and node.getRight() is not None):
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self.__reassignNodes(node, node.getRight())
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#Has only left children
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elif(node.getLeft() is not None and node.getRight() is None):
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self.__reassignNodes(node, node.getLeft())
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#Has two children
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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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#Deletes the tmpNode
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self.delete(tmpNode.getLabel())
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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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curr_node = None
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#If the tree is not empty
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if(not self.empty()):
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#Get tree root
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curr_node = self.getRoot()
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#While we don't find the node we look for
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#I am using lazy evaluation here to avoid NoneType Attribute error
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while curr_node is not None and curr_node.getLabel() is not label:
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#If node label is less than current node
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if label < curr_node.getLabel():
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#We go left
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curr_node = curr_node.getLeft()
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else:
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#Else we go right
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curr_node = curr_node.getRight()
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return curr_node
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def getMax(self, root = None):
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if(root is not None):
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curr_node = root
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else:
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#We go deep on the right branch
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curr_node = self.getRoot()
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if(not self.empty()):
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while(curr_node.getRight() is not None):
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curr_node = curr_node.getRight()
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return curr_node
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def getMin(self, root = None):
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if(root is not None):
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curr_node = root
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else:
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#We go deep on the left branch
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curr_node = self.getRoot()
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if(not self.empty()):
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curr_node = self.getRoot()
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while(curr_node.getLeft() is not None):
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curr_node = curr_node.getLeft()
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return curr_node
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def empty(self):
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if self.root is None:
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return True
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return False
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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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nodeList.insert(0, curr_node)
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nodeList = nodeList + self.__InOrderTraversal(curr_node.getLeft())
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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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return self.root
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def __isRightChildren(self, node):
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if(node == node.getParent().getRight()):
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return True
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return False
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def __reassignNodes(self, node, newChildren):
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if(newChildren is not None):
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newChildren.setParent(node.getParent())
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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(self.__isRightChildren(node)):
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node.getParent().setRight(newChildren)
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else:
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#Else it is the left children
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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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#Returns a list of nodes in the order that the users wants to
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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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r'''
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Example
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8
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/ \
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3 10
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/ \ \
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1 6 14
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/ \ /
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4 7 13
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'''
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r'''
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Example After Deletion
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7
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/ \
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1 4
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'''
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t = BinarySearchTree()
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t.insert(8)
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t.insert(3)
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t.insert(6)
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t.insert(1)
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t.insert(10)
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t.insert(14)
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t.insert(13)
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t.insert(4)
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t.insert(7)
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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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print("The label 6 exists")
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else:
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print("The label 6 doesn't exist")
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if(t.getNode(-1) is not None):
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print("The label -1 exists")
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else:
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print("The label -1 doesn't exist")
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if(not t.empty()):
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print(("Max Value: ", t.getMax().getLabel()))
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print(("Min Value: ", t.getMin().getLabel()))
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t.delete(13)
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t.delete(10)
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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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#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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testBinarySearchTree()
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