class Queue: def __init__(self): self.items = [] def isEmpty(self): return self.items == [] def enqueue(self, item): self.items.insert(0,item) def dequeue(self): return self.items.pop() def size(self): return len(self.items) class BinarySearchTree: ''' Author: Brad Miller Date: 1/15/2005 Description: Imlement a binary search tree with the following interface functions: __contains__(y) <==> y in x __getitem__(y) <==> x[y] __init__() __len__() <==> len(x) __setitem__(k,v) <==> x[k] = v clear() get(k) items() keys() values() put(k,v) in del <==> ''' def __init__(self): self.root = None self.size = 0 def put(self,key,val): if self.root: self._put(key,val,self.root) else: self.root = TreeNode(key,val) self.size = self.size + 1 def _put(self,key,val,currentNode): if key < currentNode.key: if currentNode.hasLeftChild(): self._put(key,val,currentNode.leftChild) else: currentNode.leftChild = TreeNode(key,val,parent=currentNode) else: if currentNode.hasRightChild(): self._put(key,val,currentNode.rightChild) else: currentNode.rightChild = TreeNode(key,val,parent=currentNode) def __setitem__(self,k,v): self.put(k,v) def get(self,key): if self.root: res = self._get(key,self.root) if res: return res.payload else: return None else: return None def _get(self,key,currentNode): if not currentNode: return None elif currentNode.key == key: return currentNode elif key < currentNode.key: return self._get(key,currentNode.leftChild) else: return self._get(key,currentNode.rightChild) def __getitem__(self,key): res = self.get(key) if res: return res else: raise KeyError('Error, key not in tree') def __contains__(self,key): if self._get(key,self.root): return True else: return False def length(self): return self.size def __len__(self): return self.size def __iter__(self): return self.root.__iter__() def delete(self,key): if self.size > 1: nodeToRemove = self._get(key,self.root) if nodeToRemove: self.remove(nodeToRemove) self.size = self.size-1 else: raise KeyError('Error, key not in tree') elif self.size == 1 and self.root.key == key: self.root = None self.size = self.size - 1 else: raise KeyError('Error, key not in tree') def __delitem__(self,key): self.delete(key) def remove(self,currentNode): if currentNode.isLeaf(): #leaf if currentNode == currentNode.parent.leftChild: currentNode.parent.leftChild = None else: currentNode.parent.rightChild = None elif currentNode.hasBothChildren(): #interior succ = currentNode.findSuccessor() succ.spliceOut() currentNode.key = succ.key currentNode.payload = succ.payload else: # this node has one child if currentNode.hasLeftChild(): if currentNode.isLeftChild(): currentNode.leftChild.parent = currentNode.parent currentNode.parent.leftChild = currentNode.leftChild elif currentNode.isRightChild(): currentNode.leftChild.parent = currentNode.parent currentNode.parent.rightChild = currentNode.leftChild else: currentNode.replaceNodeData(currentNode.leftChild.key, currentNode.leftChild.payload, currentNode.leftChild.leftChild, currentNode.leftChild.rightChild) else: if currentNode.isLeftChild(): currentNode.rightChild.parent = currentNode.parent currentNode.parent.leftChild = currentNode.rightChild elif currentNode.isRightChild(): currentNode.rightChild.parent = currentNode.parent currentNode.parent.rightChild = currentNode.rightChild else: currentNode.replaceNodeData(currentNode.rightChild.key, currentNode.rightChild.payload, currentNode.rightChild.leftChild, currentNode.rightChild.rightChild) def inorder(self): self._inorder(self.root) def _inorder(self,tree): if tree != None: self._inorder(tree.leftChild) print(tree.key) self._inorder(tree.rightChild) def postorder(self): self._postorder(self.root) def _postorder(self, tree): if tree: self._postorder(tree.rightChild) self._postorder(tree.leftChild) print(tree.key) def preorder(self): self._preorder(self,self.root) def _preorder(self,tree): if tree: print(tree.key) self._preorder(tree.leftChild) self._preorder(tree.rightChild) class TreeNode: def __init__(self,key,val,left=None,right=None,parent=None): self.key = key self.payload = val self.leftChild = left self.rightChild = right self.parent = parent self.balanceFactor = 0 def hasLeftChild(self): return self.leftChild def hasRightChild(self): return self.rightChild def isLeftChild(self): return self.parent and self.parent.leftChild == self def isRightChild(self): return self.parent and self.parent.rightChild == self def isRoot(self): return not self.parent def isLeaf(self): return not (self.rightChild or self.leftChild) def hasAnyChildren(self): return self.rightChild or self.leftChild def hasBothChildren(self): return self.rightChild and self.leftChild def replaceNodeData(self,key,value,lc,rc): self.key = key self.payload = value self.leftChild = lc self.rightChild = rc if self.hasLeftChild(): self.leftChild.parent = self if self.hasRightChild(): self.rightChild.parent = self def findSuccessor(self): succ = None if self.hasRightChild(): succ = self.rightChild.findMin() else: if self.parent: if self.isLeftChild(): succ = self.parent else: self.parent.rightChild = None succ = self.parent.findSuccessor() self.parent.rightChild = self return succ def spliceOut(self): if self.isLeaf(): if self.isLeftChild(): self.parent.leftChild = None else: self.parent.rightChild = None elif self.hasAnyChildren(): if self.hasLeftChild(): if self.isLeftChild(): self.parent.leftChild = self.leftChild else: self.parent.rightChild = self.leftChild self.leftChild.parent = self.parent else: if self.isLeftChild(): self.parent.leftChild = self.rightChild else: self.parent.rightChild = self.rightChild self.rightChild.parent = self.parent def findMin(self): current = self while current.hasLeftChild(): current = current.leftChild return current def __iter__(self): """The standard inorder traversal of a binary tree.""" if self: if self.hasLeftChild(): for elem in self.leftChild: yield elem yield self.key if self.hasRightChild(): for elem in self.rightChild: yield elem def findTreeDepth(node,q) : while node: print(node.payload) node= node.right bst = BinarySearchTree() print('testgetput') bst.put(50,'a') bst.put(10,'b') bst.put(70,'c') bst.put(30,'d') bst.put(85,'d') bst.put(15,'e') q = Queue() q.enqueue(bst.root) findTreeDepth(bst.root,q)
Run
Reset
Share
Import
Link
Embed
Language▼
English
中文
Python Fiddle
Python Cloud IDE
Follow @python_fiddle
Browser Version Not Supported
Due to Python Fiddle's reliance on advanced JavaScript techniques, older browsers might have problems running it correctly. Please download the latest version of your favourite browser.
Chrome 10+
Firefox 4+
Safari 5+
IE 10+
Let me try anyway!
url:
Go
Python Snippet
Stackoverflow Question