如何使用图节点 'BKKK' 获取 console.log('found it!') 进行广度优先搜索遍历
How to get console.log('found it!') for Breadth First Search Traversal Using Graph Node 'BKKK'
相信你做得很好,我正在使用下面的图表遍历使用 Node.js 找到名为 BKKK
的机场的所有 edges or routes
但不知何故代码没有显示 console.log('found it!')
在代码中我传递了 BreadthFirst
搜索函数并将起始节点作为 'PHX'
谁能告诉我下面的代码出了什么问题,为什么编译代码时不显示 console.log('found it!')
?
const airports = 'PHX BKK OKC JFK LAX MEX EZE HEL LOS LAP LIM'.split(' ');
const routes = [
['PHX','LAX'],
['PHX','JFK'],
['JFK','OKC'],
['JFK','HEL'],
['JFK','LOS'],
['MEX','LAX'],
['MEX','BKK'],
['MEX','LIM'],
['MEX','EZE'],
['LIM','BKK'],
];
//The Graph
const adjacencyList = new Map();
//add-node
function addnode(airport){
adjacencyList.set(airport, []);
}
//Add edge,undirected
function addEdge(origin,destination){
adjacencyList.get(origin).push(destination);
adjacencyList.get(destination).push(origin);
}
//Create the Graph
airports.forEach(addnode);
routes.forEach(route => addEdge(...route));
console.log(adjacencyList);
//BFS Breadth First Search
function bfs(start){
const visited = new Set();
const queue = [start]
while (queue.length > 0) {
const airport = queue.shift();
const destinations = adjacencyList.get(airport);
for(const destination of destinations){
if(destination === 'BKKK'){
console.log('found it!');
if(!visited.has(destination)){
visited.add(destination);
queue.push(destination);
}
}
}
}
}
bfs('PHX');
非常感谢您的帮助
此致
卡罗琳
这是适合您的更新代码:
const airports = 'PHX BKK OKC JFK LAX MEX EZE HEL LOS LAP LIM'.split(' ');
const routes = [
['PHX', 'LAX'],
['PHX', 'JFK'],
['JFK', 'OKC'],
['JFK', 'HEL'],
['JFK', 'LOS'],
['MEX', 'LAX'],
['MEX', 'BKK'],
['MEX', 'LIM'],
['MEX', 'EZE'],
['LIM', 'BKK'],
];
//The Graph
const adjacencyList = new Map();
//add-node
function addnode(airport) {
adjacencyList.set(airport, []);
}
//Add edge,undirected
function addEdge(origin, destination) {
adjacencyList.get(origin).push(destination);
adjacencyList.get(destination).push(origin);
}
//Create the Graph
airports.forEach(addnode);
routes.forEach(route => addEdge(...route));
console.log(adjacencyList);
//BFS Breadth First Search
function bfs(start) {
const visited = new Set();
const queue = [start];
while (queue.length > 0) {
const airport = queue.shift();
const destinations = adjacencyList.get(airport);
for (const destination of destinations) {
if (destination === 'BKK') {
console.log('found it!');
break;
}
if (!visited.has(destination)) {
visited.add(destination);
queue.push(...adjacencyList.get(destination));
}
}
}
}
bfs('PHX');
问题:
- 第 49 行你有一个拼写错误
- 因为你添加到目标队列是在一个 if 块内,它检查目标是否是你正在寻找的目标,因为拼写错误,它永远不会到达,即使它被修复也不会解决如果机场不是直接相连的问题
- 您没有将所有可能的目的地添加到队列中
建议:
为了让这段代码更实用一些,可以简化为:
const routes = [
['PHX', 'LAX'],
['PHX', 'JFK'],
['JFK', 'OKC'],
['JFK', 'HEL'],
['JFK', 'LOS'],
['MEX', 'LAX'],
['MEX', 'BKK'],
['MEX', 'LIM'],
['MEX', 'EZE'],
['LIM', 'BKK'],
];
const makeGraph = routes => {
return routes.reduce((list, [origin, destination]) => {
console.log(origin, destination);
if (!list.get(origin)) {
list.set(origin, []);
}
if (!list.get(destination)) {
list.set(destination, []);
}
list.get(origin).push(destination);
list.get(destination).push(origin);
return list;
}, new Map());
};
//find if there is a route between two airports
const findRoute = (graph, origin, destination) => {
const queue = [origin];
const visited = new Set();
while (queue.length) {
const airport = queue.shift();
if (airport === destination) {
console.log('found it!');
break;
}
if (!visited.has(airport)) {
visited.add(airport);
queue.push(...graph.get(airport));
}
}
return false;
};
const graph = makeGraph(routes);
findRoute(graph, 'PHX', 'BKK');
相信你做得很好,我正在使用下面的图表遍历使用 Node.js 找到名为 BKKK
edges or routes
但不知何故代码没有显示 console.log('found it!')
在代码中我传递了 BreadthFirst
搜索函数并将起始节点作为 'PHX'
谁能告诉我下面的代码出了什么问题,为什么编译代码时不显示 console.log('found it!')
?
const airports = 'PHX BKK OKC JFK LAX MEX EZE HEL LOS LAP LIM'.split(' ');
const routes = [
['PHX','LAX'],
['PHX','JFK'],
['JFK','OKC'],
['JFK','HEL'],
['JFK','LOS'],
['MEX','LAX'],
['MEX','BKK'],
['MEX','LIM'],
['MEX','EZE'],
['LIM','BKK'],
];
//The Graph
const adjacencyList = new Map();
//add-node
function addnode(airport){
adjacencyList.set(airport, []);
}
//Add edge,undirected
function addEdge(origin,destination){
adjacencyList.get(origin).push(destination);
adjacencyList.get(destination).push(origin);
}
//Create the Graph
airports.forEach(addnode);
routes.forEach(route => addEdge(...route));
console.log(adjacencyList);
//BFS Breadth First Search
function bfs(start){
const visited = new Set();
const queue = [start]
while (queue.length > 0) {
const airport = queue.shift();
const destinations = adjacencyList.get(airport);
for(const destination of destinations){
if(destination === 'BKKK'){
console.log('found it!');
if(!visited.has(destination)){
visited.add(destination);
queue.push(destination);
}
}
}
}
}
bfs('PHX');
非常感谢您的帮助
此致
卡罗琳
这是适合您的更新代码:
const airports = 'PHX BKK OKC JFK LAX MEX EZE HEL LOS LAP LIM'.split(' ');
const routes = [
['PHX', 'LAX'],
['PHX', 'JFK'],
['JFK', 'OKC'],
['JFK', 'HEL'],
['JFK', 'LOS'],
['MEX', 'LAX'],
['MEX', 'BKK'],
['MEX', 'LIM'],
['MEX', 'EZE'],
['LIM', 'BKK'],
];
//The Graph
const adjacencyList = new Map();
//add-node
function addnode(airport) {
adjacencyList.set(airport, []);
}
//Add edge,undirected
function addEdge(origin, destination) {
adjacencyList.get(origin).push(destination);
adjacencyList.get(destination).push(origin);
}
//Create the Graph
airports.forEach(addnode);
routes.forEach(route => addEdge(...route));
console.log(adjacencyList);
//BFS Breadth First Search
function bfs(start) {
const visited = new Set();
const queue = [start];
while (queue.length > 0) {
const airport = queue.shift();
const destinations = adjacencyList.get(airport);
for (const destination of destinations) {
if (destination === 'BKK') {
console.log('found it!');
break;
}
if (!visited.has(destination)) {
visited.add(destination);
queue.push(...adjacencyList.get(destination));
}
}
}
}
bfs('PHX');
问题:
- 第 49 行你有一个拼写错误
- 因为你添加到目标队列是在一个 if 块内,它检查目标是否是你正在寻找的目标,因为拼写错误,它永远不会到达,即使它被修复也不会解决如果机场不是直接相连的问题
- 您没有将所有可能的目的地添加到队列中
建议:
为了让这段代码更实用一些,可以简化为:
const routes = [
['PHX', 'LAX'],
['PHX', 'JFK'],
['JFK', 'OKC'],
['JFK', 'HEL'],
['JFK', 'LOS'],
['MEX', 'LAX'],
['MEX', 'BKK'],
['MEX', 'LIM'],
['MEX', 'EZE'],
['LIM', 'BKK'],
];
const makeGraph = routes => {
return routes.reduce((list, [origin, destination]) => {
console.log(origin, destination);
if (!list.get(origin)) {
list.set(origin, []);
}
if (!list.get(destination)) {
list.set(destination, []);
}
list.get(origin).push(destination);
list.get(destination).push(origin);
return list;
}, new Map());
};
//find if there is a route between two airports
const findRoute = (graph, origin, destination) => {
const queue = [origin];
const visited = new Set();
while (queue.length) {
const airport = queue.shift();
if (airport === destination) {
console.log('found it!');
break;
}
if (!visited.has(airport)) {
visited.add(airport);
queue.push(...graph.get(airport));
}
}
return false;
};
const graph = makeGraph(routes);
findRoute(graph, 'PHX', 'BKK');