mirror of
https://github.com/jackwener/OpenCLI.git
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f594e500a8
* feat: AutoResearch framework + V2EX test suite (40 tasks) AutoResearch framework (Karpathy-style autonomous iteration): - engine.ts: 8-phase loop (review → modify → commit → verify → guard → decide → log) - config.ts: typed config + CLI parser + metric extraction - logger.ts: TSV append-only results log - commands/run.ts: main loop spawning Claude Code per iteration - commands/plan.ts: interactive config wizard - commands/fix.ts: auto-detect broken state, iteratively fix - commands/debug.ts: hypothesis-driven debugging for failing tasks V2EX test suite (5 layers, 40 tasks): - L1 Atomic (10): open, state, click, scroll, eval, back, wait - L2 Single Page (10): hot topics, node list, topic meta, pagination - L3 Multi-Step (10): click-read, navigate-node, tab-then-topic, pagination - L4 Write Ops (5): reply typing, favorite detection, form detection - L5 Complex Chain (5): cross-page collect, multi-node compare, full workflow Presets: operate-reliability, skill-quality, v2ex-reliability * test: V2EX test suite 60/60 — fix selectors, add harder tasks - Fix v2ex-collect-hot-authors selector (pathname-based member link detection) - Fix v2ex-wait-text judge (accept "appeared") - Fix trailing commas in eval step strings - Add 20 harder tasks: state+click interaction + long chain workflows - Baseline: 60/60 across all layers * feat: Zhihu test suite — 60 tasks across 8 layers, 60/60 passing Knowledge-intensive Chinese Q&A site (React SPA, lazy loading, complex DOM): - L1 Atomic (10): open, state, title, url, scroll, tab, back, wait, keys, screenshot - L2 Feed (8): feed titles, hot list, metrics, tabs, authors, content types, avatar, search - L3 Question (8): title, meta, answer, votes, buttons, descriptions, answer count - L4 Navigation (8): hot→question, feed→question, author profile, search, topic, user, back - L5 Write (6): upvote/follow/comment/bookmark/write-answer/share button detection - L6 Chain (8): read-answer-author, author-profile, multi-hot, search-then-read, scroll-answers - L7 Search (6): basic, people, topic, click-result, filter, back - L8 Complex (6): full workflow, deep author chain, cross-question, search-read, 3-page, scroll-deep Key fixes during development: - Zhihu search page needs 5s+ wait (SPA lazy loading) - Back navigation goes to about:blank (daemon init page), fixed with direct navigate - User profile answers page needs 4s wait for content - Broader selectors needed (h2 a instead of specific class names) * feat: combined eval-all runner + combined-reliability preset * experiment(operate): fix extract-npm-description + nav-click-link-example Round 1: Fix 2 remaining browse-tasks failures: - extract-npm-description: use generic <p> selector instead of class-based - nav-click-link-example: include URL in output (title is 'Example Domains', not 'IANA') * experiment(operate): fix bench-imdb-matrix — use broader selectors for year/rating Round 2: IMDB page selectors were too specific (data-testid changed). Use generic h1 for title, link text match for year, broader class match for rating. * experiment(operate): add edge cases + fix SPA navigation timing Round 3: Add 10 edge case tasks (5 V2EX + 5 Zhihu): - rapid-navigate: 3 consecutive opens - eval-after-click: verify URL changes after SPA click - scroll-and-extract: extract after deep scroll - structured extraction: multi-field JSON from dynamic content - lazy-load answers: scroll triggers more content Key finding: Zhihu SPA click() doesn't update location.pathname immediately. Use window.location.href = a.href for reliable navigation. V2EX: 65/65, Zhihu: 65/65, Browse: 59/59 = 189/189 * experiment(operate): add agent-style tasks using state+click+type (no eval for interaction) Round 4-5: Add 5 tasks that test the actual agent workflow: - agent-click-first-topic: find topic index via data-opencli-ref - agent-type-search: type into search using state index - agent-click-navigate-back: click by ref, verify navigation - agent-state-has-interactive: verify state output format - agent-state-after-scroll: verify scroll position in state V2EX: 70/70 tasks * fix: review fixes — extractVerdict, stderr, dead code - eval-skill.ts: remove dead TASKS_FILE variable (skill-tasks.yaml never existed) - eval-skill.ts: rewrite extractVerdict to use brace-counting JSON.parse instead of regex (handles escaped quotes in explanation) - eval-browse.ts: include stderr in runCommand error output for debuggability
186 lines
5.6 KiB
TypeScript
186 lines
5.6 KiB
TypeScript
#!/usr/bin/env npx tsx
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/**
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* Layer 1: Deterministic Browse Command Testing
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*
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* Runs predefined opencli operate command sequences against real websites.
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* No LLM involved — tests command reliability only.
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*
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* Usage:
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* npx tsx autoresearch/eval-browse.ts # Run all tasks
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* npx tsx autoresearch/eval-browse.ts --task hn-top5 # Run single task
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*/
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import { execSync } from 'node:child_process';
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import { readFileSync, writeFileSync, mkdirSync, readdirSync } from 'node:fs';
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import { join, dirname } from 'node:path';
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import { fileURLToPath } from 'node:url';
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const __dirname = dirname(fileURLToPath(import.meta.url));
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const TASKS_FILE = join(__dirname, 'browse-tasks.json');
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const RESULTS_DIR = join(__dirname, 'results');
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const BASELINE_FILE = join(__dirname, 'baseline-browse.txt');
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interface BrowseTask {
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name: string;
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steps: string[];
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judge: JudgeCriteria;
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set?: 'test';
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note?: string;
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}
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type JudgeCriteria =
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| { type: 'contains'; value: string }
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| { type: 'arrayMinLength'; minLength: number }
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| { type: 'nonEmpty' }
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| { type: 'matchesPattern'; pattern: string };
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interface TaskResult {
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name: string;
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passed: boolean;
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duration: number;
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error?: string;
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set: 'train' | 'test';
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}
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function judge(criteria: JudgeCriteria, output: string): boolean {
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try {
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switch (criteria.type) {
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case 'contains':
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return output.toLowerCase().includes(criteria.value.toLowerCase());
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case 'arrayMinLength': {
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try {
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const arr = JSON.parse(output);
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if (Array.isArray(arr)) return arr.length >= criteria.minLength;
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} catch { /* not JSON array */ }
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return false;
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}
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case 'nonEmpty':
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return output.trim().length > 0 && output.trim() !== 'null' && output.trim() !== 'undefined';
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case 'matchesPattern':
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return new RegExp(criteria.pattern).test(output);
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default:
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return false;
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}
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} catch {
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return false;
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}
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}
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function runCommand(cmd: string): string {
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try {
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return execSync(cmd, {
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cwd: join(__dirname, '..'),
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timeout: 30000,
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encoding: 'utf-8',
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env: process.env,
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stdio: ['pipe', 'pipe', 'pipe'],
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}).trim();
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} catch (err: any) {
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return err.stdout?.trim() || err.stderr?.trim() || '';
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}
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}
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function runTask(task: BrowseTask): TaskResult {
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const start = Date.now();
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let lastOutput = '';
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try {
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for (const step of task.steps) {
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lastOutput = runCommand(step);
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}
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const passed = judge(task.judge, lastOutput);
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return {
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name: task.name,
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passed,
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duration: Date.now() - start,
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error: passed ? undefined : `Output: ${lastOutput.slice(0, 100)}`,
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set: task.set === 'test' ? 'test' : 'train',
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};
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} catch (err: any) {
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return {
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name: task.name,
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passed: false,
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duration: Date.now() - start,
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error: err.message?.slice(0, 100),
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set: task.set === 'test' ? 'test' : 'train',
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};
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}
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}
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function main() {
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const args = process.argv.slice(2);
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const singleTask = args.includes('--task') ? args[args.indexOf('--task') + 1] : null;
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const allTasks: BrowseTask[] = JSON.parse(readFileSync(TASKS_FILE, 'utf-8'));
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const tasks = singleTask ? allTasks.filter(t => t.name === singleTask) : allTasks;
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if (tasks.length === 0) {
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console.error(`Task "${singleTask}" not found.`);
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process.exit(1);
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}
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console.log(`\n🔬 Layer 1: Browse Commands — ${tasks.length} tasks\n`);
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const results: TaskResult[] = [];
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for (let i = 0; i < tasks.length; i++) {
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const task = tasks[i];
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process.stdout.write(` [${i + 1}/${tasks.length}] ${task.name}...`);
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const result = runTask(task);
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results.push(result);
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const icon = result.passed ? '✓' : '✗';
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console.log(` ${icon} (${(result.duration / 1000).toFixed(1)}s)`);
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// Close browser between tasks for clean state
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if (i < tasks.length - 1) {
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try { runCommand('opencli operate close'); } catch { /* ignore */ }
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}
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}
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// Final close
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try { runCommand('opencli operate close'); } catch { /* ignore */ }
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// Summary
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const trainResults = results.filter(r => r.set === 'train');
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const testResults = results.filter(r => r.set === 'test');
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const totalPassed = results.filter(r => r.passed).length;
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const trainPassed = trainResults.filter(r => r.passed).length;
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const testPassed = testResults.filter(r => r.passed).length;
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const totalDuration = results.reduce((s, r) => s + r.duration, 0);
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console.log(`\n${'─'.repeat(50)}`);
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console.log(` Score: ${totalPassed}/${results.length} (train: ${trainPassed}/${trainResults.length}, test: ${testPassed}/${testResults.length})`);
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console.log(` Time: ${Math.round(totalDuration / 60000)}min`);
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const failures = results.filter(r => !r.passed);
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if (failures.length > 0) {
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console.log(`\n Failures:`);
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for (const f of failures) {
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console.log(` ✗ ${f.name}: ${f.error ?? 'unknown'}`);
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}
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}
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console.log('');
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// Save result
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mkdirSync(RESULTS_DIR, { recursive: true });
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const existing = readdirSync(RESULTS_DIR).filter(f => f.startsWith('browse-')).length;
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const roundNum = String(existing + 1).padStart(3, '0');
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const resultPath = join(RESULTS_DIR, `browse-${roundNum}.json`);
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writeFileSync(resultPath, JSON.stringify({
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timestamp: new Date().toISOString(),
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score: `${totalPassed}/${results.length}`,
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trainScore: `${trainPassed}/${trainResults.length}`,
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testScore: `${testPassed}/${testResults.length}`,
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duration: `${Math.round(totalDuration / 60000)}min`,
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tasks: results,
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}, null, 2), 'utf-8');
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console.log(` Results saved to: ${resultPath}`);
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console.log(`\nSCORE=${totalPassed}/${results.length}`);
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}
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main();
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