}

  /**
   * Creates a new {@code Multimap} backed by {@code map}, whose internal value collections are
   * generated by {@code factory}. Most users should prefer {@link MultimapBuilder}, though a small
   * number of users will need this method to cover map or collection types that {@link
   * MultimapBuilder} does not support.
   *
   * <p><b>Warning: do not use</b> this method when the collections returned by {@code factory}

  }

  /**
   * Creates a new {@code Multimap} backed by {@code map}, whose internal value collections are
   * generated by {@code factory}. Most users should prefer {@link MultimapBuilder}, though a small
   * number of users will need this method to cover map or collection types that {@link
   * MultimapBuilder} does not support.
   *
   * <p><b>Warning: do not use</b> this method when the collections returned by {@code factory}

        InvalidArgument("Node ", node->name(), " was not found in the graph");
    return -1;
  }

  tensorflow::shape_inference::ShapeHandle shape = ic->output(output.index);

  // Unknown rank means the number of dimensions is -1.
  if (!ic->RankKnown(shape)) {
    return -1;
  }

  return ic->Rank(shape);
}

void TF_GraphGetTensorShape(TF_Graph* graph, TF_Output output, int64_t* dims,

case I can go back by railway,' she said to herself.  (Alice had
been to the seaside once in her life, and had come to the general
conclusion, that wherever you go to on the English coast you find
a number of bathing machines in the sea, some children digging in
the sand with wooden spades, then a row of lodging houses, and
behind them a railway station.)  However, she soon made out that

        Object.class);
  }

  @Generates
  Object generateObject() {
    return generateString();
  }

  @Generates
  Number generateNumber() {
    return generateInt();
  }

  @Generates
  int generateInt() {
    return freshness.get();
  }

  @SuppressWarnings("removal") // b/321209431 -- maybe just use valueOf here?

 * }
 *
 * <p>This class uses the life cycle methods to read in a list of starting URIs and save the set of
 * outstanding URIs when shutting down. Also, it takes advantage of the scheduling functionality to
 * rate limit the number of queries we perform.
 *
 * @author Luke Sandberg
 * @since 11.0
 */
@GwtIncompatible
@J2ktIncompatible
public abstract class AbstractScheduledService implements Service {

- Limit number of instances in a single update to GCE target pool to 1000. ([#87881](https://github.com/kubernetes/kubernetes/pull/87881), [@wojtek-t](https://github.com/wojtek-t)) [SIG Cloud Provider, Network and Scalability]

- Fix: the volume is not detached after the pod and PVC objects are deleted ([#117358](https://github.com/kubernetes/kubernetes/pull/117358), [@cvvz](https://github.com/cvvz)) [SIG Storage]

    static Suggester suggester;

    static OpenSearchRunner runner;

    @BeforeClass
    public static void beforeClass() throws Exception {
        runner = new OpenSearchRunner();
        runner.onBuild((number, settingsBuilder) -> {
            settingsBuilder.put("http.cors.enabled", true);
            settingsBuilder.put("discovery.type", "single-node");
            // settingsBuilder.putList("discovery.seed_hosts", "127.0.0.1:9301");

`await` が機能するためには、非同期処理をサポートする関数内にある必要があります。これは、`async def` で関数を宣言するだけでよいです:

```Python hl_lines="1"
async def get_burgers(number: int):
    # ハンバーガーを作成するために非同期処理を実行
    return burgers
```

...`def` のかわりに:

```Python hl_lines="2"
# 非同期ではない
def get_sequential_burgers(number: int):
    # ハンバーガーを作成するためにシーケンシャルな処理を実行
    return burgers
```