* tailored to that use case.
 *
 * <p>This uses the same efficient implementation as {@link Ordering#leastOf(Iterable, int)},
 * offering expected O(n + k log k) performance (worst case O(n log k)) for n calls to {@link
 * #offer} and a call to {@link #topK}, with O(k) memory. In comparison, quickselect has the same

import com.google.common.base.MoreObjects;
import java.util.Objects;
import java.util.concurrent.Callable;
import org.jspecify.annotations.Nullable;

/**
 * Statistics about the performance of a {@link Cache}. Instances of this class are immutable.
 *
 * <p>Cache statistics are incremented according to the following rules:
 *
 * <ul>

import com.google.common.base.MoreObjects;
import java.util.Objects;
import java.util.concurrent.Callable;
import org.jspecify.annotations.Nullable;

/**
 * Statistics about the performance of a {@link Cache}. Instances of this class are immutable.
 *
 * <p>Cache statistics are incremented according to the following rules:
 *
 * <ul>

 * the columns. The reverse is also available, associating a column with a row key / value map. Note
 * that, in some implementations, data access by column key may have fewer supported operations or
 * worse performance than data access by row key.
 *
 * <p>The methods returning collections or maps always return views of the underlying table.
 * Updating the table can change the contents of those collections, and updating the collections

          Function<? super T, ? extends V> valueFunction) {
    return CollectCollectors.toImmutableRangeMap(keyFunction, valueFunction);
  }

  /**
   * Returns an empty immutable range map.
   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   */
  @SuppressWarnings("unchecked")
  public static <K extends Comparable<?>, V> ImmutableRangeMap<K, V> of() {
    return (ImmutableRangeMap<K, V>) EMPTY;
  }

    return TableCollectors.toImmutableTable(
        rowFunction, columnFunction, valueFunction, mergeFunction);
  }

  /**
   * Returns an empty immutable table.
   *
   * <p><b>Performance note:</b> the instance returned is a singleton.
   */
  @SuppressWarnings("unchecked")
  public static <R, C, V> ImmutableTable<R, C, V> of() {
    return (ImmutableTable<R, C, V>) SparseImmutableTable.EMPTY;
  }

Seine Schlüssel-Merkmale sind:

* **Schnell**: Sehr hohe Performanz, auf Augenhöhe mit **NodeJS** und **Go** (dank Starlette und Pydantic). [Eines der schnellsten verfügbaren Python-Frameworks](#performance).
* **Schnell zu entwickeln**: Erhöhen Sie die Geschwindigkeit bei der Entwicklung von Features um etwa 200 % bis 300 %. *
* **Weniger Bugs**: Verringern Sie die von Menschen (Entwicklern) verursachten Fehler um etwa 40 %. *

- Significant kube-proxy performance improvements for non UDP ports. ([#83208](https://github.com/kubernetes/kubernetes/pull/83208), [@robscott](https://github.com/robscott))

 * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for
 * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
 * dispersion is easily corrected using a secondary hash function (which all reasonable hash table
 * implementations in Java use). For the many uses of hash functions beyond data structures,

 * prevention and <i>no</i> expectation of bit dispersion. This leaves them perfectly suitable for
 * use in hash tables, because extra collisions cause only a slight performance hit, while poor bit
 * dispersion is easily corrected using a secondary hash function (which all reasonable hash table
 * implementations in Java use). For the many uses of hash functions beyond data structures,