}

	testCases := []struct {
		offset         int64
		expectedIndex  int
		expectedOffset int64
		expectedErr    error
	}{
		{0, 0, 0, nil},
		{1 * humanize.MiByte, 0, 1 * humanize.MiByte, nil},
		{1 + humanize.MiByte, 1, 0, nil},
		{2 + humanize.MiByte, 1, 1, nil},
		// Its valid for zero sized object.
		{-1, 0, -1, nil},
		// Max fffset is always (size - 1).

Ви побачите автоматичну інтерактивну API документацію (створену завдяки <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a>):

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png)

### Альтернативна API документація

Тепер перейдемо сюди <a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a>.

You will see the automatic interactive API documentation (provided by <a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a>):

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png)

### Alternative API docs

And now, go to <a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a>.

            "been implemented yet.");
      }
      graph_outputs.push_back(output->output_);
    }

    auto s = TF_NewStatus();
    auto func = TF_GraphToFunction(graph_.get(), name_.data(), 0, -1, nullptr,
                                   inputs_.size(), inputs_.data(),
                                   graph_outputs.size(), graph_outputs.data(),
                                   nullptr, nullptr, name_.data(), s);

    RegularImmutableSortedSet<E> elementSet =
        (RegularImmutableSortedSet<E>) ImmutableSortedSet.of(e1);
    long[] cumulativeCounts = {0, 1};
    return new RegularImmutableSortedMultiset<>(elementSet, cumulativeCounts, 0, 1);
  }

  /**
   * Returns an immutable sorted multiset containing the given elements sorted by their natural
   * ordering.
   *

Vas con la persona que te gusta 😍 a pedir comida rápida 🍔, haces cola mientras el cajero 💁 recoge los pedidos de las personas de delante tuyo.

<img src="https://fastapi.tiangolo.com/img/async/concurrent-burgers/concurrent-burgers-01.png" alt="illustration">

Llega tu turno, haces tu pedido de 2 hamburguesas impresionantes para esa persona 😍 y para ti.

自動生成された対話的APIドキュメントが表示されます (<a href="https://github.com/swagger-api/swagger-ui" class="external-link" target="_blank">Swagger UI</a>で提供):

![Swagger UI](https://fastapi.tiangolo.com/img/index/index-01-swagger-ui-simple.png)

### 他のAPIドキュメント

次に、<a href="http://127.0.0.1:8000/redoc" class="external-link" target="_blank">http://127.0.0.1:8000/redoc</a>にアクセスします。

		if atEOF {
			panic("didn't get enough data")
		}
		if numSplits >= okCount {
			return 0, nil, testError
		}
		numSplits++
		return 1, data[0:1], nil
	}
	// Read the data.
	const text = "abcdefghijklmnopqrstuvwxyz"
	buf := strings.NewReader(text)
	s := NewScanner(&slowReader{1, buf})
	s.Split(errorSplit)
	var i int
	for i = 0; s.Scan(); i++ {

上述异步代码的思想有时也被称为“并发”，它不同于“并行”。

并发和并行都与“不同的事情或多或少同时发生”有关。

但是并发和并行之间的细节是完全不同的。

要了解差异，请想象以下关于汉堡的故事：

### 并发汉堡

你和你的恋人一起去快餐店，你排队在后面，收银员从你前面的人接单。😍

<img src="/img/async/concurrent-burgers/concurrent-burgers-01.png" class="illustration">

然后轮到你了，你为你的恋人和你选了两个非常豪华的汉堡。🍔🍔

<img src="/img/async/concurrent-burgers/concurrent-burgers-02.png" class="illustration">

收银员对厨房里的厨师说了一些话，让他们知道他们必须为你准备汉堡（尽管他们目前正在为之前的顾客准备汉堡）。

    assertThrows(IllegalArgumentException.class, () -> limiter.tryAcquire(0));
    assertThrows(IllegalArgumentException.class, () -> limiter.tryAcquire(-1));
    assertThrows(IllegalArgumentException.class, () -> limiter.tryAcquire(0, 1, SECONDS));
    assertThrows(IllegalArgumentException.class, () -> limiter.tryAcquire(-1, 1, SECONDS));
  }

  public void testSimpleWithWait() {
    RateLimiter limiter = RateLimiter.create(5.0, stopwatch);