assertEqualIgnoringOrder(asList(expected), asList(actual));
  }

  private void expectArrayContentsInOrder(List<E> expected, Object[] actual) {
    assertEquals("toArray() ordered contents: ", expected, asList(actual));
  }

  /**
   * Returns the {@link Method} instance for {@link #testToArray_isPlainObjectArray()} so that tests
   * of {@link Arrays#asList(Object[])} can suppress it with {@code

    }

    // Happy path: get -> release -> get returns same instance, zeroed on release
    @Test
    @DisplayName("Release stores buffer for reuse and zeroes its contents")
    void releaseStoresAndZeroesBuffer() {
        BufferCacheImpl impl = new BufferCacheImpl(2, 10);

        byte[] b = new byte[10];
        // Fill with non-zero to verify zeroing on release

「情境管理器」是那些你可以在 `with` 陳述式中使用的 Python 物件。

例如，[你可以用 `with` 來讀取檔案](https://docs.python.org/3/tutorial/inputoutput.html#reading-and-writing-files)：

```Python
with open("./somefile.txt") as f:
    contents = f.read()
    print(contents)
```

在底層，`open("./somefile.txt")` 會建立一個稱為「情境管理器」的物件。

當 `with` 區塊結束時，它會確保關閉檔案，即使發生了例外也一樣。

當你建立一個含 `yield` 的相依時，**FastAPI** 會在內部為它建立一個情境管理器，並與其他相關工具結合。

{* ../../docs_src/query_params_str_validations/tutorial013_an_py310.py hl[9] *}

/// note

Keep in mind that in this case, FastAPI won't check the contents of the list.

For example, `list[int]` would check (and document) that the contents of the list are integers. But `list` alone wouldn't.

///

## Declare more metadata { #declare-more-metadata }

You can add more information about the parameter.

   * key, the choice of {@link KeyAbsentBehavior} decides which index is returned.
   *
   * <p>This method runs in log(n) time on random-access lists, which offer near-constant-time
   * access to each list element.
   *
   * @param list the list to be searched.
   * @param key the value to be searched for.
   * @param comparator the comparator by which the list is ordered.

#### *Try your first TensorFlow program*

```shell
$ python
```

```python
>>> import tensorflow as tf
>>> tf.add(1, 2).numpy()
3
>>> hello = tf.constant('Hello, TensorFlow!')
>>> hello.numpy()
b'Hello, TensorFlow!'
```

For more examples, see the
[TensorFlow Tutorials](https://www.tensorflow.org/tutorials/).

## Contribution guidelines

    if (entries.size() >= 1) {
      a = entries.get(0);
      if (entries.size() >= 3) {
        b = entries.get(1);
        c = entries.get(2);
      }
    }
  }

  /** Resets the contents of navigableMap to have entries a, c, for the navigation tests. */
  @SuppressWarnings("unchecked") // Needed to stop Eclipse whining
  private void resetWithHole() {

    if (values.size() >= 1) {
      a = values.get(0);
      if (values.size() >= 3) {
        b = values.get(1);
        c = values.get(2);
      }
    }
  }

  /** Resets the contents of navigableSet to have elements a, c, for the navigation tests. */
  protected void resetWithHole() {
    super.resetContainer(getSubjectGenerator().create(a, c));
    navigableSet = (NavigableSet<E>) getSet();
  }

    if (entries.size() >= 1) {
      a = entries.get(0);
      if (entries.size() >= 3) {
        b = entries.get(1);
        c = entries.get(2);
      }
    }
  }

  /** Resets the contents of navigableMap to have entries a, c, for the navigation tests. */
  @SuppressWarnings("unchecked") // Needed to stop Eclipse whining
  private void resetWithHole() {

   * (unless the executor has been shutdown).
   *
   * <p>The returned executor is backed by the executor returned by {@link
   * MoreExecutors#newDirectExecutorService} and subject to the same constraints.
   *
   * <p>Although all tasks are immediately executed in the thread that submitted the task, this
   * {@code ExecutorService} imposes a small locking overhead on each task submission in order to