@CanIgnoreReturnValue
  public FakeTicker setAutoIncrementStep(long autoIncrementStep, TimeUnit timeUnit) {
    checkArgument(autoIncrementStep >= 0, "May not auto-increment by a negative amount");
    this.autoIncrementStepNanos = timeUnit.toNanos(autoIncrementStep);
    return this;
  }

  /**
   * Sets the increment applied to the ticker whenever it is queried.
   *

  }

  /**
   * Sends the given method call to this thread.
   *
   * @throws TimeoutException if this thread does not accept the request within a reasonable amount
   *     of time
   */
  private void sendRequest(String methodName, Object... arguments) throws Exception {
    if (!requestQueue.offer(new Request(methodName, arguments), TIMEOUT_MILLIS, MILLISECONDS)) {

    list.add(new MockRunnable(countDownLatch), exec);
    assertEquals(3L, countDownLatch.getCount());

    list.execute();

    // Verify that all of the runnables execute in a reasonable amount of time.
    assertTrue(countDownLatch.await(1L, SECONDS));
  }

  public void testExecute_idempotent() {
    AtomicInteger runCalled = new AtomicInteger();
    list.add(
        new Runnable() {

you will have a more or less well-defined, stable, and limited amount of memory consumed by each of those containers (more than one if they are replicated).

And then you can set those same memory limits and requirements in your configurations for your container management system (for example in **Kubernetes**). That way it will be able to **replicate the containers** in the **available machines** taking into account the amount of memory needed by them, and the amount available in the machines...

      return state.policy.backoffDelayMillis.jitterBy(state.policy.backoffJitterMillis) * 1_000_000
    }
  }

  private fun Long.jitterBy(amount: Int): Long = this + ThreadLocalRandom.current().nextInt(amount * -1, amount)

  class AddressState(
    val address: Address,
    val queue: TaskQueue,
    var policy: AddressPolicy,
  ) {
    /**

# زیر برنامه ها - اتصال

اگر نیاز دارید که دو برنامه مستقل FastAPI، با OpenAPI مستقل و رابط‌های کاربری اسناد خود داشته باشید، می‌توانید یک برنامه
اصلی داشته باشید و یک (یا چند) زیر برنامه را به آن متصل کنید.

## اتصال (mount) به یک برنامه **FastAPI**

کلمه "Mounting" به معنای افزودن یک برنامه کاملاً مستقل در یک مسیر خاص است، که پس از آن مدیریت همه چیز در آن مسیر، با path operations (عملیات های مسیر) اعلام شده در آن زیر برنامه می باشد.

### برنامه سطح بالا

		tok := p.next()
		ext = tok.String()
	}
	if p.peek() == lex.LSH {
		// parses left shift amount applied after extension: <<Amount
		p.get(lex.LSH)
		tok := p.get(scanner.Int)
		amount, err := strconv.ParseInt(tok.String(), 10, 16)
		if err != nil {
			p.errorf("parsing left shift amount: %s", err)
		}
		num = int16(amount)
	} else if p.peek() == '[' {
		// parses an element: [Index]
		p.get('[')

# Tệp tĩnh (Static Files)

Bạn có thể triển khai tệp tĩnh tự động từ một thư mục bằng cách sử dụng StaticFiles.

## Sử dụng `Tệp tĩnh`

- Nhập `StaticFiles`.
- "Mount" a `StaticFiles()` instance in a specific path.

{* ../../docs_src/static_files/tutorial001.py hl[2,6] *}

/// note | Chi tiết kỹ thuật

Bạn cũng có thể sử dụng `from starlette.staticfiles import StaticFiles`.

        this.crawlerRunning = crawlerRunning;
    }

    /**
     * Represents a rule for controlling crawler intervals.
     * Each rule defines a time range, applicable days, and delay amount.
     */
    public static class IntervalRule {
        /** Starting hour of the interval */
        protected int fromHours;

        /** Starting minute of the interval */
        protected int fromMinutes;

  @CanIgnoreReturnValue
  public FakeTicker setAutoIncrementStep(long autoIncrementStep, TimeUnit timeUnit) {
    checkArgument(autoIncrementStep >= 0, "May not auto-increment by a negative amount");
    this.autoIncrementStepNanos = timeUnit.toNanos(autoIncrementStep);
    return this;
  }

  /**
   * Sets the increment applied to the ticker whenever it is queried.
   *