* to this implementation.
   *
   * @since 7.0
   */
  protected void standardPutAll(Map<? extends K, ? extends V> map) {
    Maps.putAllImpl(this, map);
  }

  /**
   * A sensible, albeit inefficient, definition of {@link #remove} in terms of the {@code iterator}
   * method of {@link #entrySet}. If you override {@link #entrySet}, you may wish to override {@link
   * #remove} to forward to this implementation.
   *

@Documented
@GwtCompatible
public @interface GwtIncompatible {
  /**
   * Describes why the annotated element is incompatible with GWT. Since this is generally due to a
   * dependence on a type/method which GWT doesn't support, it is sufficient to simply reference the
   * unsupported type/method. E.g. "Class.isInstance".
   *
   * <p>As of Guava 20.0, this value is optional. We encourage authors who wish to describe why an

Base64 pode codificar dados binários em strings, mas, para isso, precisa usar mais caracteres do que os dados binários originais; assim, normalmente é menos eficiente do que arquivos comuns.

Use base64 apenas se realmente precisar incluir dados binários em JSON e não puder usar arquivos para isso.

## Pydantic `bytes` { #pydantic-bytes }

Example: Limit a MinIO cluster to accept at max 1600 simultaneous S3 API requests across all nodes of the cluster.

```sh
export MINIO_API_REQUESTS_MAX=1600
export MINIO_ROOT_USER=your-access-key

heap dumps # generate a heap dump when an allocation from the Java heap fails # heap dumps are created in the working directory of the JVM -XX:+HeapDumpOnOutOfMemor # specify an alternative path for heap dumps; ensure the directory exists and # has sufficient space -XX:HeapDumpPath=data # specify an alternative path for JVM fatal error logs -XX:ErrorFile=logs/hs_err_pid%p.log ## GC logging -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m elasticsearch-1.2....

heap dumps # generate a heap dump when an allocation from the Java heap fails # heap dumps are created in the working directory of the JVM -XX:+HeapDumpOnOutOfMemor # specify an alternative path for heap dumps; ensure the directory exists and # has sufficient space -XX:HeapDumpPath=data # specify an alternative path for JVM fatal error logs -XX:ErrorFile=logs/hs_err_pid%p.log ## GC logging -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m elasticsearch-1.2....

heap dumps # generate a heap dump when an allocation from the Java heap fails # heap dumps are created in the working directory of the JVM -XX:+HeapDumpOnOutOfMemor # specify an alternative path for heap dumps; ensure the directory exists and # has sufficient space -XX:HeapDumpPath=data # specify an alternative path for JVM fatal error logs -XX:ErrorFile=logs/hs_err_pid%p.log ## GC logging -Xlog:gc*,gc+age=trace,safepoint:file=logs/gc.log:utctime,pid,tags:filecount=32,filesize=64m elasticsearch-1.2....

      if (values.hasAnyNonFinite()) {
        assertWithMessage("Pearson's correlation coefficient of %s", values)
            .that(pearsonsCorrelationCoefficient)
            .isNaN();
      } else {
        assertWithMessage("Pearson's correlation coefficient of %s", values)
            .that(pearsonsCorrelationCoefficient)
            .isWithin(ALLOWED_ERROR)
            .of(

      if (values.hasAnyNonFinite()) {
        assertWithMessage("Pearson's correlation coefficient of %s", values)
            .that(pearsonsCorrelationCoefficient)
            .isNaN();
      } else {
        assertWithMessage("Pearson's correlation coefficient of %s", values)
            .that(pearsonsCorrelationCoefficient)
            .isWithin(ALLOWED_ERROR)
            .of(

Base64 puede codificar datos binarios en strings, pero para hacerlo necesita usar más caracteres que los datos binarios originales, así que normalmente sería menos eficiente que los archivos normales.

Usa base64 solo si definitivamente necesitas incluir datos binarios en JSON y no puedes usar archivos para eso.

## Pydantic `bytes` { #pydantic-bytes }