campanhapsdalcoframain.ts3 matches
446};447448function App() {449return (450<>454}455456function client() {457createRoot(document.getElementById("root")).render(<App />);458}462}463464export default async function server(request: Request): Promise<Response> {465return new Response(466`
untitled-8620main.ts9 matches
1112const DECONSTRUCT_FACT_PROMPT = `13You are 'Principia', an expert logician specializing in epistemology. Your function is to deconstruct a given factual statement into its immediate, necessary, and sufficient prerequisite facts. You must adhere to the principle of strict logical entailment.1415- Analyze the provided {Target Fact}.82},83{84"fact": "The operation '+' (addition) is defined as repeatedly applying the successor function.",85"justification": "This is necessary because the symbol '+' must have a defined operational meaning."86}127* Calls the specified AI with a given prompt and fact.128*/129async function callAI(fact: string, prompt: string): Promise<Prerequisite[]> {130try {131const completion = await openai.chat.completions.create({149* Recursively builds the prerequisite tree, with an Auditor check.150*/151async function buildTreeRecursive(152node: FactNode,153jobId: string,196* This prevents race conditions when writing to blob storage.197*/198async function buildTreeInBackground(jobId: string, rootNode: FactNode) {199try {200let currentLevelNodes = [rootNode];260}261262function generateHtml(sourceUrl: string): string {263return `<!DOCTYPE html>264<html lang="en">447const POLLING_INTERVAL = 2000;448449function TreeNode({ node }) {450const [isCollapsed, setIsCollapsed] = useState(false);451}479480function App() {481const [view, setView] = useState('input'); // 'input', 'processing', 'tree'482const [jobId, setJobId] = useState(null);618619// --- HTTP REQUEST HANDLER ---620export default async function (req: Request): Promise<Response> {621const url = new URL(req.url);622const path = url.pathname;
untitled-8620main.ts6 matches
59const openai = new OpenAI();6061async function callAI(fact: string, prompt: string): Promise<Prerequisite[]> {62try {63const completion = await openai.chat.completions.create({83* Tracks processed nodes to avoid redundant API calls and circular dependencies.84*/85async function buildTreeInBackground(jobId: string, rootNode: FactNode) {86try {87// This Map will store all nodes ever created, keyed by their fact string.160// --- FRONTEND & ROUTER (No changes needed below this line) ---161162function generateHtml(sourceUrl: string): string {163return `<!DOCTYPE html>164<html lang="en">347const POLLING_INTERVAL = 2000;348349function TreeNode({ node, seenIds = new Set() }) {350const [isCollapsed, setIsCollapsed] = useState(false);351}396397function App() {398const [view, setView] = useState('input'); // 'input', 'processing', 'tree'399const [jobId, setJobId] = useState(null);534}535536export default async function (req: Request): Promise<Response> {537const url = new URL(req.url);538const path = url.pathname;
bella-cleaningmain.ts1 match
23// ✅ Images Inside Text Spans4$("[data='spanWrapper']").each(function (index) {5let relatedEl = $("[data='spanElement']").eq(index);6relatedEl.appendTo($(this));
brew_countermain.ts1 match
21`);2223export default async function (req: Request): Promise<Response> {24const url = new URL(req.url);25
untitled-8264Main2.ts12 matches
1export default async function (req: Request): Promise<Response> {2const fftSize = 2048;3const TWO_PI = 2.0 * 3.141592653579;7475function showError(e) {77console.error(e);78errorBox.style.display = "block";8182// DPR-aware resize83function resize() {84const dpr = Math.min(window.devicePixelRatio || 1, 2);85const w = Math.floor(window.innerWidth * dpr);196\`;197198function compileShader(type, src) {199const s = gl.createShader(type);200gl.shaderSource(s, src);222gl.bindVertexArray(vao);223224function createAttrib(data, attribName, usage) {225const loc = gl.getAttribLocation(program, attribName);226if (loc === -1) throw new Error("Attrib not found or optimized out: " + attribName);248249// Matrices250function mat4Perspective(fovDeg, aspect, near, far) {251const f = 1.0 / Math.tan((fovDeg * Math.PI) / 360);252const nf = 1 / (near - far);259return out;260}261function subtract(a, b) { return [a[0]-b[0], a[1]-b[1], a[2]-b[2]]; }262function normalize(v) {263const l = Math.hypot(v[0], v[1], v[2]) || 1;264return [v[0]/l, v[1]/l, v[2]/l];265}266function cross(a, b) {267return [a[1]*b[2] - a[2]*b[1], a[2]*b[0] - a[0]*b[2], a[0]*b[1] - a[1]*b[0]];268}269function dot(a, b) { return a[0]*b[0] + a[1]*b[1] + a[2]*b[2]; }270function mat4LookAt(eye, target, up) {271const z = normalize(subtract(eye, target));272const x = normalize(cross(up, z));314315// Render loop316function render(ts) {317// Update audio only if ready318if (analyser) {
TownieValTownLogo.tsx1 match
1/** @jsxImportSource https://esm.sh/react@18.2.0 */23export function ValTownLogo () {4return (5<svg
Townieval-summary.ts1 match
5* Get usage data for a specific val6*/7export async function getValSummary(valId: string) {8// Get summary data for the val from the usage table9const usageSummaryResult = await sqlite.execute(`
Townieval-detail.ts1 match
36}3738export function renderValDetail(valId: string, summary: ValSummary, requests: UsageRequest[] = []): string {39// Generate the content40const content = `
TownieuseUser.tsx1 match
3const USER_ENDPOINT = "/api/user";45export function useUser() {6const [data, setData] = useState<any>(null);7const [loading, setLoading] = useState(true);
