entity.asDocMeta().indexOption(opLambda);
        doInsert(entity, null);
    }

    public void update(PathMapping entity) {
        doUpdate(entity, null);
    }

    public void update(PathMapping entity, RequestOptionCall<IndexRequestBuilder> opLambda) {
        entity.asDocMeta().indexOption(opLambda);
        doUpdate(entity, null);
    }

        // may have scheduled more operations on another thread, and if those operations then
        // trigger reentrant calls that thread will have updated the latestTaskQueue field, and
        // we'd be interfering with their operation.
        executingTaskQueue.thread = null;
      }
    }

    private boolean trySetStarted() {

      if (!status->status.ok()) return;
      input_tensors_vector[i] = &input_tensor;
    }
  }

  // Create an inference context with dummy values, which will be updated later.
  InferenceContext c(TF_GRAPH_DEF_VERSION, node_def, op_reg_data->op_def,
                     std::vector<ShapeHandle>(num_inputs), input_tensors_vector,
                     {},

async def read_items(
    item_id: Annotated[int, Path(title="The ID of the item to get")],
    q: Annotated[Union[str, None], Query(alias="item-query")] = None,
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

      </a>
    </div>
    <div class="item">
      <a class="announce-link" href="https://www.linkedin.com/company/fastapi" target="_blank">
        <span class="twemoji linkedin">
          {% include ".icons/fontawesome/brands/linkedin.svg" %}
        </span> Follow <strong>FastAPI</strong> on <strong>LinkedIn</strong> to stay updated
      </a>
    </div>
    <div class="item">

async def read_items(
    item_id: Annotated[int, Path(title="The ID of the item to get")],
    q: Annotated[str | None, Query(alias="item-query")] = None,
):
    results = {"item_id": item_id}
    if q:
        results.update({"q": q})

					// Load...
					xl = xlMetaV2{}
					err := xl.Load(enc)
					if err != nil {
						b.Fatal(err)
					}
					// Update modtime for resorting...
					fi.ModTime = fi.ModTime.Add(-time.Second)
					// Update a random version.
					fi.VersionID = ids[rng.Intn(size)]
					// Update...
					err = xl.UpdateObjectVersion(fi)
					if err != nil {
						b.Fatal(err)
					}
					// Save...

 *     ExecutionException}, {@code UncheckedExecutionException}, and {@code ExecutionError}. Any
 *     code that is still catching {@code ComputationException} may need to be updated to catch some
 *     of those types instead. (Note that this type, though deprecated, is not planned to be removed
 *     from Guava.)
 */
@Deprecated
@GwtCompatible

@Deprecated(since = "4.0.0")
public interface SuperPomProvider {

    /**
     * Gets the super POM for the specified model version. The returned model is supposed to be read-only, i.e. if the
     * caller intends to make updates to the model the return value must be cloned before updating to ensure the
     * modifications don't affect future retrievals of the super POM.
     *

            min_length=3,
        ),
    ] = None,
):
    results = {"items": [{"item_id": "Foo"}, {"item_id": "Bar"}]}
    if q:
        results.update({"q": q})