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https://github.com/multipleof4/lynchmark.git
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Docs: Update benchmark results
This commit is contained in:
@@ -0,0 +1,28 @@
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async function findShortestPath(graph, start, end) {
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const { default: PriorityQueue } = await import('https://cdn.skypack.dev/js-priority-queue');
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const distances = {};
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const pq = new PriorityQueue({ comparator: (a, b) => a.dist - b.dist });
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for (const node in graph) distances[node] = Infinity;
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distances[start] = 0;
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pq.queue({ node: start, dist: 0 });
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while (pq.length) {
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const { node, dist } = pq.dequeue();
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if (node === end) return dist;
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if (dist > distances[node]) continue;
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for (const neighbor in graph[node]) {
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const newDist = dist + graph[node][neighbor];
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if (newDist < distances[neighbor]) {
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distances[neighbor] = newDist;
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pq.queue({ node: neighbor, dist: newDist });
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}
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}
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}
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return distances[end];
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}
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export default findShortestPath;
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@@ -1,35 +1,29 @@
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async function findShortestPath(graph, start, end) {
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const { default: PriorityQueue } = await import(
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'https://cdn.jsdelivr.net/npm/js-priority-queue@0.1.5/+esm'
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);
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const distances = Object.keys(graph).reduce((acc, node) => {
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acc[node] = node === start ? 0 : Infinity;
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return acc;
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}, {});
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const pq = new PriorityQueue({ comparator: (a, b) => a.dist - b.dist });
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pq.queue({ node: start, dist: 0 });
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const { default: PriorityQueue } = await import('https://cdn.skypack.dev/js-priority-queue');
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const dist = { [start]: 0 };
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const pq = new PriorityQueue({ comparator: (a, b) => a[1] - b[1] });
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const visited = new Set();
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pq.queue([start, 0]);
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while (pq.length) {
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const { node, dist } = pq.dequeue();
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const [node, d] = pq.dequeue();
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if (visited.has(node)) continue;
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visited.add(node);
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if (node === end) return dist;
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if (node === end) return d;
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for (const [neighbor, weight] of Object.entries(graph[node] || {})) {
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const newDist = dist + weight;
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if (newDist < distances[neighbor]) {
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distances[neighbor] = newDist;
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pq.queue({ node: neighbor, dist: newDist });
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const newDist = d + weight;
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if (newDist < (dist[neighbor] ?? Infinity)) {
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dist[neighbor] = newDist;
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pq.queue([neighbor, newDist]);
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}
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}
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}
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return distances[end];
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return Infinity;
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}
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export default findShortestPath;
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@@ -1,26 +1,22 @@
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const findShortestPath = async (graph, start, end) => {
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const { default: PriorityQueue } = await import(
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'https://cdn.jsdelivr.net/npm/js-priority-queue@0.1.5/+esm'
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);
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const distances = Object.keys(graph).reduce((acc, node) => {
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acc[node] = node === start ? 0 : Infinity;
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return acc;
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}, {});
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async function findShortestPath(graph, start, end) {
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const { default: PriorityQueue } = await import('https://cdn.skypack.dev/js-priority-queue');
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const distances = Object.keys(graph).reduce((acc, node) => ({ ...acc, [node]: Infinity }), {});
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distances[start] = 0;
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const pq = new PriorityQueue({ comparator: (a, b) => a.dist - b.dist });
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const visited = new Set();
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pq.queue({ node: start, dist: 0 });
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const visited = new Set();
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while (pq.length) {
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const { node, dist } = pq.dequeue();
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if (visited.has(node)) continue;
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if (node === end) return dist;
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visited.add(node);
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if (node === end) return dist;
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for (const [neighbor, weight] of Object.entries(graph[node] || {})) {
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const newDist = dist + weight;
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if (newDist < distances[neighbor]) {
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@@ -29,7 +25,7 @@ const findShortestPath = async (graph, start, end) => {
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}
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}
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}
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return distances[end];
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};
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}
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export default findShortestPath;
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@@ -1,27 +0,0 @@
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async function findShortestPath(graph, startNode, endNode) {
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const { default: PriorityQueue } = await import('https://cdn.jsdelivr.net/npm/js-priority-queue@0.1.5/priority-queue.min.js');
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const distances = { [startNode]: 0 };
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const pq = new PriorityQueue({ comparator: (a, b) => a.dist - b.dist });
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pq.queue({ node: startNode, dist: 0 });
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while (pq.length) {
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const { node: u, dist: uDist } = pq.dequeue();
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if (u === endNode) return uDist;
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if (uDist > (distances[u] ?? Infinity)) continue;
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for (const v in graph[u] || {}) {
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const newDist = uDist + graph[u][v];
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if (newDist < (distances[v] ?? Infinity)) {
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distances[v] = newDist;
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pq.queue({ node: v, dist: newDist });
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}
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}
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}
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return Infinity;
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}
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export default findShortestPath;
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@@ -1,27 +1,33 @@
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async function findShortestPath(graph, startNode, endNode) {
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const { default: PriorityQueue } = await import('https://cdn.jsdelivr.net/npm/js-priority-queue@0.1.5/priority-queue.min.js');
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const findShortestPath = async (graph, start, end) => {
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const cdn = 'https://cdn.jsdelivr.net/npm/js-priority-queue@0.1.5/priority-queue.min.js';
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const { default: PriorityQueue } = await import(cdn);
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const distances = { [startNode]: 0 };
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const pq = new PriorityQueue({ comparator: (a, b) => a.priority - b.priority });
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const distances = Object.fromEntries(
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Object.keys(graph).map(node => [node, Infinity])
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);
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distances[start] = 0;
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pq.queue({ value: startNode, priority: 0 });
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const pq = new PriorityQueue({
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comparator: (a, b) => a.priority - b.priority
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});
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pq.queue({ value: start, priority: 0 });
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while (pq.length) {
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const { value: currentNode } = pq.dequeue();
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const { value: current } = pq.dequeue();
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if (currentNode === endNode) break;
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if (current === end) break;
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const neighbors = graph[currentNode] ?? {};
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const neighbors = graph[current] || {};
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for (const [neighbor, weight] of Object.entries(neighbors)) {
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const newDist = distances[currentNode] + weight;
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const newDist = distances[current] + weight;
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if (newDist < (distances[neighbor] ?? Infinity)) {
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if (newDist < distances[neighbor]) {
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distances[neighbor] = newDist;
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pq.queue({ value: neighbor, priority: newDist });
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}
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}
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}
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return distances[endNode] ?? Infinity;
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}
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return distances[end];
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};
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export default findShortestPath;
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@@ -1,32 +0,0 @@
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const findShortestPath = async (graph, start, end) => {
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const { default: PriorityQueue } = await import('https://cdn.jsdelivr.net/npm/js-priority-queue@0.1.5/priority-queue.min.js');
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const dist = { [start]: 0 };
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const pq = new PriorityQueue({ comparator: (a, b) => a.weight - b.weight });
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pq.enqueue({ node: start, weight: 0 });
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while (pq.length) {
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const { node: u, weight: uWeight } = pq.dequeue();
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if (uWeight > (dist[u] ?? Infinity)) {
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continue;
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}
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if (u === end) {
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return uWeight;
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}
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for (const v in graph[u] || {}) {
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const newWeight = uWeight + graph[u][v];
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if (newWeight < (dist[v] ?? Infinity)) {
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dist[v] = newWeight;
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pq.enqueue({ node: v, weight: newWeight });
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}
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}
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}
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return Infinity;
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};
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export default findShortestPath;
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@@ -1,29 +1,24 @@
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let u;
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const loadQueue=async()=> (u=u||import('https://cdn.jsdelivr.net/npm/js-priority-queue@0.2.0/es6.js')).then(r=>r.default);
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export async function findShortestPath(graph,start,end){
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if(start===end) return 0;
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if(!graph||typeof graph!=='object') return Infinity;
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const own=Object.prototype.hasOwnProperty;
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if(!own.call(graph,start)||!own.call(graph,end)) return Infinity;
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const PriorityQueue=await loadQueue();
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const dist=new Map([[start,0]]);
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const heap=new PriorityQueue({comparator:(a,b)=>a[1]-b[1]});
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heap.queue([start,0]);
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while(heap.length){
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const [node,score]=heap.dequeue();
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if(score>dist.get(node)) continue;
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if(node===end) return score;
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const edges=graph[node];
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if(!edges) continue;
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for(const [next,weight] of Object.entries(edges)){
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const total=score+weight;
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if(total<(dist.get(next)??Infinity)){
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dist.set(next,total);
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heap.queue([next,total]);
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}
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}
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}
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return Infinity;
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let u
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const o=()=>u||(u=import('https://cdn.skypack.dev/js-priority-queue').then(r=>r.default||r))
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async function findShortestPath(g,s,t){
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const PQ=await o()
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if(s===t)return 0
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const d={},q=new PQ({comparator:(a,b)=>a[1]-b[1]})
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for(const k in g)d[k]=Infinity
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d[s]=0
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q.queue([s,0])
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while(q.length){
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const[n,w]=q.dequeue()
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if(w>d[n])continue
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if(n===t)return w
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for(const[nb,c]of Object.entries(g[n]||{})){
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const nw=w+c
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if(nw<d[nb]){
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d[nb]=nw
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q.queue([nb,nw])
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}
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}
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}
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return Infinity
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}
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export default findShortestPath;
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24
tests/1_dijkstra/outputs/openrouter_polaris-alpha.js
Normal file
24
tests/1_dijkstra/outputs/openrouter_polaris-alpha.js
Normal file
@@ -0,0 +1,24 @@
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async function findShortestPath(g,s,e){
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if(!g||!g[s]||!g[e])return Infinity
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const{default:PriorityQueue}=await import('https://cdn.jsdelivr.net/npm/js-priority-queue@0.1.5/js/priority-queue.min.js')
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const d={},v={}
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Object.keys(g).forEach(k=>d[k]=k===s?0:Infinity)
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const q=new PriorityQueue({comparator:(a,b)=>a.w-b.w})
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q.queue({n:s,w:0})
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while(q.length){
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const{n,w}=q.dequeue()
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if(v[n])continue
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v[n]=1
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if(n===e)return w
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const nbrs=g[n]
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for(const x in nbrs){
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const nw=w+nbrs[x]
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if(nw<d[x]){
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d[x]=nw
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q.queue({n:x,w:nw})
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}
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}
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}
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return Infinity
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}
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export default findShortestPath;
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