public void setAvailable_PercentileRanks(double[] values) {
        setAvailable_PercentileRanks(values, null);
    }

    public void setAvailable_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setAvailable_PercentileRanks("available", values, opLambda);
    }

    public void setAvailable_PercentileRanks(String name, double[] values,

    public void setAvailable_PercentileRanks(double[] values) {
        setAvailable_PercentileRanks(values, null);
    }

    public void setAvailable_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setAvailable_PercentileRanks("available", values, opLambda);
    }

    public void setAvailable_PercentileRanks(String name, double[] values,

    // FilteredCollection), which we want to avoid.
    if (values instanceof List || values instanceof ImmutableCollection) {
      return uniqueIndex(
          values.iterator(),
          keyFunction,
          ImmutableMap.builderWithExpectedSize(((Collection<?>) values).size()));
    }
    return uniqueIndex(values.iterator(), keyFunction);
  }

  /**

    // FilteredCollection), which we want to avoid.
    if (values instanceof List || values instanceof ImmutableCollection) {
      return uniqueIndex(
          values.iterator(),
          keyFunction,
          ImmutableMap.builderWithExpectedSize(((Collection<?>) values).size()));
    }
    return uniqueIndex(values.iterator(), keyFunction);
  }

  /**

    public void setHitCount_PercentileRanks(double[] values) {
        setHitCount_PercentileRanks(values, null);
    }

    public void setHitCount_PercentileRanks(double[] values, ConditionOptionCall<PercentileRanksAggregationBuilder> opLambda) {
        setHitCount_PercentileRanks("hitCount", values, opLambda);
    }

    *, dependant: Dependant, values: dict[str, Any], is_coroutine: bool
) -> Any:
    # Only called by get_request_handler. Has been split into its own function to
    # facilitate profiling endpoints, since inner functions are harder to profile.
    assert dependant.call is not None, "dependant.call must be a function"

    if is_coroutine:
        return await dependant.call(**values)
    else:

  for (int i = 0; i < len; ++i) {
    values[i] = TF_NewBuffer();
    status->status = MessageToBuffer(attr->list().shape(i), values[i]);
    if (!status->status.ok()) {
      // Delete everything allocated to far, the operation has failed.
      for (int j = 0; j <= i; ++j) {
        TF_DeleteBuffer(values[j]);
      }
      return;
    }
  }
}

                have their default values. This is different from
                `response_model_exclude_defaults` in that if the fields are set,
                they will be included in the response, even if the value is the same
                as the default.

                When `True`, default values are omitted from the response.

                Read more about it in the

			),
			metricType,
			metric.Value,
			values...)
		return true
	})
}

func getOrderedLabelValueArrays(labelsWithValue map[string]string) (labels, values []string) {
	labels = make([]string, 0, len(labelsWithValue))
	values = make([]string, 0, len(labelsWithValue))
	for l, v := range labelsWithValue {
		labels = append(labels, l)
		values = append(values, v)
	}
	return labels, values
}

   *     Executor)} in order to ensure that resources do not leak. Or, to start a pipeline with a
   *     {@link ListenableFuture} that doesn't create values that should be closed, use {@link
   *     ClosingFuture#from}.
   */
  @Deprecated
  public static <C extends @Nullable Object & @Nullable AutoCloseable>