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export class FPSMeter {
  private frames: number[] = [];

  private lastFrameTime: number = 0;

  private totalFrames: number;

  private lowFPSCallback: ((fps: number) => void) | null = null;

  constructor(totalFrames: number = 60) {

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const http = require('http');

const MAX_AGE = 5; // seconds
const STALE_WHILE_REVALIDATE = 200; // seconds

const server = http.createServer((req, res) => {

    // Set cache control headers
    res.setHeader('Cache-Control', `max-age=${MAX_AGE}, stale-while-revalidate=${STALE_WHILE_REVALIDATE}`);

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export async function BlueSkyPost() {
  const url = new URL('https://bsky.app/profile/danabra.mov/post/3la62zxt4rs2j');
  const details = url.pathname.split('/').filter(Boolean).reduce((acc, part, index, pathParts) => {
      if (index % 2 === 0 && pathParts[index + 1]) {
        acc[part] = pathParts[index + 1];
      }
      return acc;
    }, {} as Record<'post' | 'profile' | string, string>);
  const endpoint = new URL('https://public.api.bsky.app/xrpc/app.bsky.feed.getPostThread');
  const params = new URLSearchParams();

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import Anthropic from '@anthropic-ai/sdk';
import { Glob } from 'bun';

export const anthropic = new Anthropic({
  apiKey: process.env.ANTHROPIC_KEY
});

const glob = new Glob("./txt/*.txt");

type Page = {

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  "workbench.editor.customLabels.patterns": {
    "**/routes/**/+page.svelte": "${dirname(1)}/${dirname}",
    "**/routes/**/+page.server.ts": "/${dirname} [server]",
    "**/app/**/page.tsx": "${dirname}.${extname}",
    "**/app/**/layout.tsx": "${dirname}/layout.${extname}"
  }

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// Use like this: node --import logger.js yourapp.js 

import path from 'path';

const { log } = console;
[`debug`, `log`, `warn`, `error`, `table`, `dir`].forEach((methodName) => {
  const originalLoggingMethod = console[methodName];
  console[methodName] = (...args) => {
    const originalPrepareStackTrace = Error.prepareStackTrace;
    Error.prepareStackTrace = (_, stack) => stack;

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class PathMe {

  moves: string[] = [];

  constructor() {
    this.moves = [];
    return this;
  }

  moveTo(x: number, y: number) {

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import dotenv from "dotenv";
import { readFile, writeFile } from 'fs/promises';
dotenv.config();
import { Configuration, OpenAIApi } from "openai";

const configuration = new Configuration({
  apiKey: process.env.OPENAI_API_KEY,
});
export const openai = new OpenAIApi(configuration);

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{
  "editor.tokenColorCustomizations": {
    // just one
    "comments": {
      "fontStyle": "italic",
    },
    // multiple scopes
    "textMateRules": [
      {
        "scope": [