E - Is It A Tree?

本文介绍了一个算法问题,即如何通过给定的节点和边来判断这些元素是否构成了一棵树。文章详细阐述了判断条件——节点数量减一是否等于边的数量,并提供了一段实现该判断逻辑的C++代码。

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E - Is It A Tree?

A tree is a well-known data structure that is either empty (null, void, nothing) or is a set of one or more nodes connected by directed edges between nodes satisfying the following properties. 

There is exactly one node, called the root, to which no directed edges point. 
Every node except the root has exactly one edge pointing to it. 
There is a unique sequence of directed edges from the root to each node. 
For example, consider the illustrations below, in which nodes are represented by circles and edges are represented by lines with arrowheads. The first two of these are trees, but the last is not. 


In this problem you will be given several descriptions of collections of nodes connected by directed edges. For each of these you are to determine if the collection satisfies the definition of a tree or not.

Input

The input will consist of a sequence of descriptions (test cases) followed by a pair of negative integers. Each test case will consist of a sequence of edge descriptions followed by a pair of zeroes Each edge description will consist of a pair of integers; the first integer identifies the node from which the edge begins, and the second integer identifies the node to which the edge is directed. Node numbers will always be greater than zero.

Output

For each test case display the line "Case k is a tree." or the line "Case k is not a tree.", where k corresponds to the test case number (they are sequentially numbered starting with 1).

Sample Input

6 8  5 3  5 2  6 4
5 6  0 0

8 1  7 3  6 2  8 9  7 5
7 4  7 8  7 6  0 0

3 8  6 8  6 4
5 3  5 6  5 2  0 0
-1 -1

Sample Output

Case 1 is a tree.
Case 2 is a tree.
Case 3 is not a tree.

题解:题意是给出一堆边给你,让你判断这是不是一棵树,这与小希的迷宫是一样的思路,只要判断点与边是否满足点数  -  1  =            边​​​​​​​数,满足就是树,否者就不是。

代码:

#include<stdio.h>
#include<string.h>
#include<algorithm>
using namespace std;
int book[1001000];
int main()
{
	int a,b,c=1;
	while(~scanf("%d%d",&a,&b))
	{
		if(a==0&&b==0)
		{
		   printf("Case %d is a tree.\n",c++);
			continue;
		}
		int i,sum=1,ans=0;
        for(i=0;i<=100050;i++)
        {
        	book[i]=0;
		}
		if(a==-1&&b==-1)
		 break;
		book[a]=1;//标记点 
		book[b]=1;
		while(scanf("%d%d",&a,&b)&&(a||b))
		{
			sum++;//记录边数 
			book[a]=1;book[b]=1;//标记点 
		}
		for(i=0;i<=100050;i++)
		{
			if(book[i])//判断标记的点数 
			  ans++;
		}
		if(sum==ans-1)//要形成树就要满足点数-1=边数 
		    printf("Case %d is a tree.\n",c++);
		else
		    printf("Case %d is not a tree.\n",c++);
	}
}

 

### Tree Props in IT Context In the realm of web development, particularly within frameworks like React, tree props or more commonly referred to as "props drilling," involve passing properties from parent components down through multiple levels of nested children. This pattern can lead to verbose and cumbersome code when deeply nested structures are involved[^2]. For instance, consider a scenario where data needs to be passed from node D to node E in a component hierarchy that resembles a tree structure with three layers deep. If user input is entered into node D, one might wish this information to appear at node E without having to pass it explicitly through intermediate nodes using regular props[^3]. To mitigate issues associated with prop drilling, developers often turn towards alternative solutions such as Context API which allows global values (like themes or authenticated users) to flow down automatically through the component tree without requiring manual passing via props on every level. However, while Context APIs provide an elegant solution for avoiding excessive prop drilling, they come with their own set of limitations. For example, handling `undefined` as initial state poses challenges since both custom implementations and even official libraries may not handle this case strictly[^4]. Additionally, patterns like render props offer another approach by allowing components to accept functions as children instead of static elements. These function-as-child components receive additional parameters and return JSX directly inside them[^5], providing flexibility but potentially complicating the mental model required to understand how these components interact. ```javascript // Example demonstrating simple use of Render Props Pattern const ThemeContext = React.createContext('light'); class ThemedButton extends React.Component { render() { return ( <ThemeContext.Consumer> {theme => <button style={{ background: theme }}>I am styled!</button>} </ThemeContext.Consumer> ); } } ``` --related questions-- 1. How does Context API compare against Redux for managing application states? 2. What alternatives exist besides Context API to avoid prop-drilling problems? 3. Can you explain what benefits functional programming brings over object-oriented approaches in JavaScript applications? 4. In what scenarios would someone prefer using higher-order components over render props? 5. Is there any performance impact when choosing between different methods to share data across components?
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