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,

at last it unfolded its arms, took the hookah out of its mouth
again, and said, `So you think you're changed, do you?'

  `I'm afraid I am, sir,' said Alice; `I can't remember things as
I used--and I don't keep the same size for ten minutes together!'

  `Can't remember WHAT things?' said the Caterpillar.

  `Well, I've tried to say "HOW DOTH THE LITTLE BUSY BEE," but it
all came different!' Alice replied in a very melancholy voice.

        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 {

"jene", "jenem", "jenen", "jener", "jenes", "jetzt", "kann", "kein", "keine", "keinem", "keinen", "keiner", "keines", "können", "könnte", "machen", "man", "manche", "manchem", "manchen", "mancher", "manches", "mein", "meine", "meinem", "meinen", "meiner", "meines", "mit", "muss", "musste", "nach", "nicht", "nichts", "noch", "nun", "nur", "ob", "oder", "ohne", "sehr", "sein", "seine", "seinem", "seinen", "seiner", "seines", "selbst", "sich", "sie", "ihnen", "sind", "so", "solche", "solchem", "solchen",...

"jene", "jenem", "jenen", "jener", "jenes", "jetzt", "kann", "kein", "keine", "keinem", "keinen", "keiner", "keines", "können", "könnte", "machen", "man", "manche", "manchem", "manchen", "mancher", "manches", "mein", "meine", "meinem", "meinen", "meiner", "meines", "mit", "muss", "musste", "nach", "nicht", "nichts", "noch", "nun", "nur", "ob", "oder", "ohne", "sehr", "sein", "seine", "seinem", "seinen", "seiner", "seines", "selbst", "sich", "sie", "ihnen", "sind", "so", "solche", "solchem", "solchen",...

    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
```

	// Loads things in the same order as `LoadIAMCache()`

	bootstrapTraceMsgFirstTime("loading policy documents")

	policyLoadStartTime := UTCNow()
	policiesList := listedConfigItems[policiesListKey]
	count := 32 // number of parallel IAM loaders
	for {
		if len(policiesList) < count {
			policyDocs, err := iamOS.loadPolicyDocConcurrent(ctx, policiesList...)
			if err != nil {
				return err
			}

		default:
			bts, err = msgp.Skip(bts)
			if err != nil {
				err = msgp.WrapError(err)
				return
			}
		}
	}
	o = bts
	return
}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *BucketMetadata) Msgsize() (s int) {