suggestHelper.suggester().createNextIndex();

        logger.info("Storing all bad words.");
        suggestHelper.storeAllBadWords(true);

        logger.info("Storing all elevate words.");
        suggestHelper.storeAllElevateWords(true);

        final AtomicInteger exitCode = new AtomicInteger(0);

        if (ComponentUtil.getFessConfig().isSuggestDocuments()) {

   * MultimapBuilder.hashKeys(expectedKeys).arrayListValues(expectedValuesPerKey).build()}.
   *
   * @param expectedKeys the expected number of distinct keys
   * @param expectedValuesPerKey the expected average number of values per key
   * @throws IllegalArgumentException if {@code expectedKeys} or {@code expectedValuesPerKey} is
   *     negative
   */
  public static <K extends @Nullable Object, V extends @Nullable Object>

namespace mlir {
namespace tf_executor {
namespace {

// Comparator for `OpsInReverseProgramOrder`.
struct IsAfterInBlock {
  bool operator()(Operation* op, Operation* other_op) const {
    // This function has an average complexity of O(1).
    return other_op->isBeforeInBlock(op);
  }
};

#define GEN_PASS_DEF_EXECUTORUPDATECONTROLDEPENDENCIESPASS
#include "tensorflow/compiler/mlir/tensorflow/transforms/tf_passes.h.inc"

 * you would expect.
 *
 * <p>If required to do a weighted average between an infinity and a finite value, or between an
 * infinite value and itself, the infinite value is returned. If required to do a weighted average
 * between {@link Double#NEGATIVE_INFINITY NEGATIVE_INFINITY} and {@link Double#POSITIVE_INFINITY

 * you would expect.
 *
 * <p>If required to do a weighted average between an infinity and a finite value, or between an
 * infinite value and itself, the infinite value is returned. If required to do a weighted average
 * between {@link Double#NEGATIVE_INFINITY NEGATIVE_INFINITY} and {@link Double#POSITIVE_INFINITY

	// https://docs.google.com/document/d/1YDlGIdVTPnmUiTAavlZxBI1d9pwGQgZT7IKFKlIXohQ/edit?usp=sharing
	// The basic algorithm is to track the average size of stacks
	// and start goroutines with stack equal to that average size.
	// Starting at the average size uses at most 2x the space that
	// an ideal algorithm would have used.
	// This is just a heuristic to avoid excessive stack growth work

		Name:      avgLinkLatency,
		Help:      "Average replication link latency in milliseconds",
		Type:      gaugeMetric,
	}
}

func getClusterReplAvgQueuedOperationsMD() MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: replicationSubsystem,
		Name:      avgInQueueCount,
		Help:      "Average number of objects queued for replication since server uptime",

            th().colspan("3").end();
            final String colspanForField = String.valueOf(testHistory.getScenarioCount() * getColumnsForSamples());
            th().colspan(colspanForField).text("Average build time").end();
            th().colspan("8").text("Details").end();
            end();
            tr();
            th().text("Date").end();
            th().text("Branch").end();

---

FastAPI è un web framework moderno e veloce (a prestazioni elevate) che serve a creare API con Python 3.6+ basato sulle annotazioni di tipo di Python.

Le sue caratteristiche principali sono:

* **Velocità**: Prestazioni molto elevate, alla pari di **NodeJS** e **Go** (grazie a Starlette e Pydantic). [Uno dei framework Python più veloci in circolazione](#performance).

	}

	// Get pause time stats.
	slices.Sort(pauses)
	var total uint64
	for _, ns := range pauses {
		total += ns
	}
	// ns/op for this benchmark is average STW time.
	b.ReportMetric(float64(total)/float64(b.N), "ns/op")
	b.ReportMetric(float64(pauses[len(pauses)*95/100]), "p95-ns/STW")
	b.ReportMetric(float64(pauses[len(pauses)*50/100]), "p50-ns/STW")
}