hyperloop barebone.ts

Cross-Language Porting Quick Guide

C# / .NET: Replace Worker with Task.Run(), recommendedLookaheadMs with Task.Delay(), and getResult() with await task.

Java: Replace Worker with CompletableFuture.supplyAsync() managed by an ExecutorService.

Python: Replace Worker with concurrent.futures.ProcessPoolExecutor() and use asyncio.sleep() for the lookahead window delay.

C++11 / C++20: Replace Worker with std::async(std::launch::async) and use std::this_thread::sleep_for() using std::chrono::milliseconds.

Go: Replace Worker with a goroutine writing to a buffered chan, and getResult() reading from the channel.








/**
 * HyperLoop Speculative Execution Engine (Universal Reference Implementation)
 * 
 * Pre-computes loop workloads asynchronously on background threads based on 
 * an automatic operations-to-time ratio (60ms per 1,000,000 iterations).
 */

// Structure representing the completed execution metrics
export interface HyperLoopResult<T> {
  result: T;
  computeTimeMs: number;
  perceivedLatencyMs: number;
}

// Task handle returned to caller upon initial speculative dispatch
export interface TaskHandle<T> {
  iterations: number;
  recommendedLookaheadMs: number;
  getResult: () => Promise<HyperLoopResult<T>>;
}

export class HyperLoopEngine {
  // Baseline ratio constants: 60 ms per 1,000,000 iterations
  public static readonly BASE_ITERATIONS: number = 1_000_000;
  public static readonly BASE_LOOKAHEAD_MS: number = 60;

  /**
   * Calculates required lookahead window based on operation volume.
   * Formula: (iterations / 1,000,000) * 60
   * 
   * Language Translation Equivalents:
   * - C++ / C#:  Math.Round((double)iterations / 1000000.0 * 60.0)
   * - Java:      Math.round((double)iterations / 1000000.0 * 60.0)
   * - Python:    round((iterations / 1000000) * 60)
   * - Rust:      ((iterations as f64 / 1_000_000.0) * 60.0).round() as u64
   * - Go:        time.Duration(math.Round(float64(iterations)/1e6*60)) * time.Millisecond
   */
  public static getLookaheadMs(iterations: number): number {
    return Math.round((iterations / HyperLoopEngine.BASE_ITERATIONS) * HyperLoopEngine.BASE_LOOKAHEAD_MS);
  }

  /**
   * Spawns a background thread/process and executes the calculation kernel speculatively.
   * 
   * @param kernelFunction - Pure math function to compute
   * @param iterations - Total loop count
   */
  public static dispatch<T>(
    kernelFunction: (iterations: number) => T,
    iterations: number
  ): TaskHandle<T> {
    const recommendedLookaheadMs = HyperLoopEngine.getLookaheadMs(iterations);

    // Thread/Worker Instantiation Matrix:
    // - C++:    std::async(std::launch::async, kernelFunction, iterations)
    // - C#:     Task.Run(() => kernelFunction(iterations))
    // - Java:   ExecutorService.submit(() => kernelFunction(iterations))
    // - Python: concurrent.futures.ProcessPoolExecutor().submit(kernel, iterations)
    // - Go:     go func() { resultChan <- kernelFunction(iterations) }()
    // - Rust:   std::thread::spawn(move || kernel_function(iterations))

    const workerScript = `
      self.onmessage = function(e) {
        const { iterations } = e.data;
        const start = performance.now();
        const kernel = ${kernelFunction.toString()};
        const result = kernel(iterations);
        self.postMessage({ result, computeTimeMs: performance.now() - start });
      };
    `;

    const blob = new Blob([workerScript], { type: 'application/javascript' });
    const workerUrl = URL.createObjectURL(blob);
    const worker = new Worker(workerUrl);

    // Async thread completion promise/future
    const workerPromise = new Promise<{ result: T; computeTimeMs: number }>((resolve, reject) => {
      worker.onmessage = (event) => resolve(event.data);
      worker.onerror = (error) => reject(error);
    });

    // Start execution immediately
    worker.postMessage({ iterations });

    return {
      iterations,
      recommendedLookaheadMs,

      /**
       * Awaits completion when caller demands the result.
       */
      async getResult(): Promise<HyperLoopResult<T>> {
        const requestTime = performance.now();
        const data = await workerPromise;
        const perceivedLatencyMs = Math.max(0, performance.now() - requestTime);

        // Resource Cleanup
        worker.terminate();
        URL.revokeObjectURL(workerUrl);

        return {
          result: data.result,
          computeTimeMs: data.computeTimeMs,
          perceivedLatencyMs
        };
      }
    };
  }
}