return (int) (cumulativeCounts[offset + index + 1] - cumulativeCounts[offset + index]);
  }

  @Override
  Entry<E> getEntry(int index) {
    return Multisets.immutableEntry(elementSet.asList().get(index), getCount(index));
  }

  @Override
  public @Nullable Entry<E> firstEntry() {
    return isEmpty() ? null : getEntry(0);
  }

  @Override
  public @Nullable Entry<E> lastEntry() {

* Request-Payloads im Body, Query-Parameter, usw.
* Response-Payloads.

Sie erhalten auch **Inline-Fehlerberichte** für alles.

Und wann immer Sie den Backend-Code aktualisieren und **das Frontend neu generieren**, stehen alle neuen *Pfadoperationen* als Methoden zur Verfügung, die alten werden entfernt und alle anderen Änderungen werden im generierten Code reflektiert. 🤓

        return Optional.empty();
    }

    @Override
    public Optional<List<String>> activatedProfiles() {
        if (commandLine.hasOption(CLIManager.ACTIVATE_PROFILES)) {
            return Optional.of(Arrays.asList(commandLine.getOptionValues(CLIManager.ACTIVATE_PROFILES)));
        }
        return Optional.empty();
    }

    @Override
    public Optional<Boolean> suppressSnapshotUpdates() {

/// tip

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.
         * It has an added advantage since you can you easily switch to different hardware accelerators (cpu, gpu, tpu) as per the task.

   * ParametricNullness parametric nullness}. If a type parameter instead ranges over only non-null
   * types (or if the type is a non-variable type, like {@code String}), then code should almost
   * never use this method, preferring instead to call {@code requireNonNull} so as to benefit from
   * its runtime check.
   *
   * <p>An example use case for this method is in implementing an {@code Iterator<T>} whose {@code

   * ParametricNullness parametric nullness}. If a type parameter instead ranges over only non-null
   * types (or if the type is a non-variable type, like {@code String}), then code should almost
   * never use this method, preferring instead to call {@code requireNonNull} so as to benefit from
   * its runtime check.
   *
   * <p>An example use case for this method is in implementing an {@code Iterator<T>} whose {@code

                                    <%-- Message --%>
                                <div>
                                    <la:info id="msg" message="true">
                                        <div class="aalert alert-info">${msg}</div>
                                    </la:info>
                                    <la:errors/>
                                </div>
                                    <%-- Form Fields --%>

        this.extension = requireNonNull(extension, "extension");
        this.classifier = classifier;
        this.includesDependencies = includesDependencies;
        this.pathTypes = Collections.unmodifiableSet(new HashSet<>(Arrays.asList(pathTypes)));

        Map<String, String> properties = new HashMap<>();
        properties.put(ArtifactProperties.TYPE, id);
        properties.put(ArtifactProperties.LANGUAGE, language.id());

 * <tr><td>{@code (a..+∞)} <td>{@code {x | x > a}}      <td>{@link Range#greaterThan greaterThan}
 * <tr><td>{@code [a..+∞)} <td>{@code {x | x >= a}}     <td>{@link Range#atLeast atLeast}
 * <tr><td>{@code (-∞..b)} <td>{@code {x | x < b}}      <td>{@link Range#lessThan lessThan}
 * <tr><td>{@code (-∞..b]} <td>{@code {x | x <= b}}     <td>{@link Range#atMost atMost}