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剧情提要:[工程师阿伟]正在和[机器小伟]一起研究[时间简史 关于黑洞的那些事]。
彩蛋:(关于栈,队列,二叉树的python实现,只是初步实现)
<span style="font-size:18px;">### # @usage 数据结构汇总,不断增加中 # @author mw # @date 2016年07月11日 星期一 10:06:56 # @param # @return # ### #栈 class Stack: def __init__(self, size = 16): self.stack = [] self.size = size self.top = -1 def setSize(self, size): self.size = size def isEmpty(self): if self.top == -1: return True else: return False def isFull(self): if self.top + 1 == self.size: return True else: return False def top(self): if self.isEmpty(): raise Exception("StackIsEmpty") else: return self.stack[self.top] def push(self,obj): if self.isFull(): raise Exception("StackOverFlow") #self.setSize(self.size*=2); else: self.stack.append(obj) self.top +=1 def pop(self): if self.isEmpty(): raise Exception("StackIsEmpty") else: self.top -= 1 return self.stack.pop() def show(self): print(self.stack) def test(self): s = Stack(5) s.push(1) s.push(2) s.push(3) s.push(4) s.push(5) s.show() s.pop() s.show() s.push(6) s.show() #队列 class Queue: def __init__(self,size = 16): self.queue = [] self.size = size self.front = 0 self.rear = 0 def setSize(self, size): self.size = size def isEmpty(self): return self.rear == 0 def isFull(self): if (self.front - self.rear +1) == self.size: return True else: return False def first(self): if self.isEmpty(): raise Exception("QueueIsEmpty") else: return self.queue[self.front] def last(self): if self.isEmpty(): raise Exception("QueueIsEmpty") else: return self.queue[self.rear] def add(self,obj): if self.isFull(): raise Exception("QueueOverFlow") else: self.queue.append(obj) self.rear += 1 def delete(self): if self.isEmpty(): raise Exception("QueueIsEmpty") else: self.rear -=1 return self.queue.pop(0) def show(self): print(self.queue) def test(self): q = Queue(3) q.add(1) q.add(2) q.show() q.delete() q.show() #二叉树,要用到Queue() class BinaryTreeNode: def __init__(self,data,left,right): self.left = left self.data = data self.right = right class BinaryTree: def __init__(self): self.root = None def makeTree(self,data,left,right): self.root = BinaryTreeNode(data,left,right) #left.root = right.root = None def isEmpty(self): if self.root is None: return True else: return False def preOrder(self,r): if r.root is not None: print(r.root.data) if r.root.left is not None: self.preOrder(r.root.left) if r.root.right is not None: self.preOrder(r.root.right) def inOrder(self,r): if r.root is not None: if r.root.left is not None: self.inOrder(r.root.left) print(r.root.data) if r.root.right is not None: self.inOrder(r.root.right) def postOrder(self,r): if r.root is not None: if r.root.left is not None: self.preOrder(r.root.left) if r.root.right is not None: self.preOrder(r.root.right) print(r.root.data) def levelOrder(self,a): q = Queue() r = a while r is not None: print(r.root.data) if r.root.left is not None: q.add(r.root.left) if r.root.right is not None: q.add(r.root.right) if q.isEmpty(): print("empty") r = None else: r = q.delete() def test(self): r = BinaryTree() ra = BinaryTree() ra.makeTree(2,None,None) rb = BinaryTree() rb.makeTree(3,None,None) r.makeTree(1,ra,rb) print("前序遍历") r.preOrder(r) print("中序遍历") r.inOrder(r) print("后序遍历") r.postOrder(r) print("层级遍历") r.levelOrder(r) def findTree(self, preList,inList,postList): if len(preList)==0: return if len(preList)==1: postList.append(preList[0]) return root=preList[0] n = inList.index(root) self.findTree(preList[1:n+1],inList[:n],postList) self.findTree(preList[n+1:],inList[n+1:],postList) postList.append(root) #已知前序遍历结果和中序遍历结果,求后序遍历 def test2(self): preList=list('DBACEGF') midList=list('ABCDEFG') afterList=[] self.findTree(preList,midList,afterList) print(afterList) if __name__ == '__main__': stack = Stack(); stack.test(); queue = Queue(); queue.test(); btree = BinaryTree(); btree.test(); btree.test2();</span>
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原文地址:http://blog.csdn.net/mwsister/article/details/51882540