long create = 1600000000000L;
        long lastAccess = 1600000100000L;
        long lastWrite = 1600000200000L;
        long change = 1600000300000L;
        int attributes = 0x1234;
        // Convert Unix time to Windows FILETIME (100-nanosecond intervals since 1601)
        long MILLISECONDS_BETWEEN_1970_AND_1601 = 11644473600000L;
        writeLong(buffer, 0, (create + MILLISECONDS_BETWEEN_1970_AND_1601) * 10000L);

{* ../../docs_src/json_base64_bytes/tutorial001_py310.py ln[1:2,12:16,29,38:41] hl[16] *}

## Pydantic `bytes` pour les données d'entrée et de sortie { #pydantic-bytes-for-input-and-output-data }

Et bien sûr, vous pouvez utiliser le même modèle configuré pour utiliser base64 afin de gérer à la fois l'entrée (valider) avec `val_json_bytes` et la sortie (sérialiser) avec `ser_json_bytes` lors de la réception et de l'envoi de données JSON.

* **Easier onboarding**: New contributors have clear guidance on which spelling to use
* **Better searchability**: Finding code and documentation becomes more predictable
* **Reduced review friction**: Less time spent on spelling corrections during PR reviews
* **Professional appearance**: Consistent APIs and documentation appear more polished

 * version of this interface will be made to <i>extend</i> {@code java.util.function.Predicate}, so
 * that conversion will be necessary in only one direction. At that time, this interface will be
 * officially discouraged.
 *
 * @author Kevin Bourrillion
 * @since 2.0
 */
@GwtCompatible
public interface Predicate<T extends @Nullable Object> {
  /**

 *
 * @author Isaac Shum
 * @since 1.0
 */
@GwtCompatible
public final class Callables {
  private Callables() {}

  /** Creates a {@code Callable} which immediately returns a preset value each time it is called. */
  public static <T extends @Nullable Object> Callable<T> returning(@ParametricNullness T value) {
    return () -> value;
  }

  /**
   * Creates an {@link AsyncCallable} from a {@link Callable}.
   *

### Cache the OpenAPI schema { #cache-the-openapi-schema }

You can use the property `.openapi_schema` as a "cache", to store your generated schema.

That way, your application won't have to generate the schema every time a user opens your API docs.

It will be generated only once, and then the same cached schema will be used for the next requests.

{* ../../docs_src/extending_openapi/tutorial001_py310.py hl[13:14,25:26] *}

	// NamespaceFormat - namespace log format used in some event targets.
	NamespaceFormat = "namespace"

	// AccessFormat - access log format used in some event targets.
	AccessFormat = "access"

	// AMZTimeFormat - event time format.
	AMZTimeFormat = "2006-01-02T15:04:05.000Z"

	// StoreExtension - file extension of an event file in store
	StoreExtension = ".event"
)

// Identity represents access key who caused the event.

# And golookup of a hash confirms that it still exists on the server.
# We can use that to revalidate that specific versions still exist and
# have the same meaning they did the last time we checked.
#
# Usage:
#
#	hg --config "extensions.goreposum=$GOROOT/lib/hg/goreposum.py" goreposum REPOURL

import base64, hashlib, sys
from mercurial import registrar, ui, hg, node
from mercurial.i18n import _

			return
		}
		switch msgp.UnsafeString(field) {
		case "ID":
			err = dc.ReadExactBytes((z.VersionID)[:])
			if err != nil {
				err = msgp.WrapError(err, "VersionID")
				return
			}
		case "MTime":
			z.ModTime, err = dc.ReadInt64()
			if err != nil {
				err = msgp.WrapError(err, "ModTime")
				return
			}
		case "MetaSys":
			var zb0002 uint32
			zb0002, err = dc.ReadMapHeader()

import org.codelibs.fess.crawler.exception.OpenSearchAccessException;
import org.codelibs.fess.crawler.util.OpenSearchResultList;
import org.joda.time.DateTimeZone;
import org.joda.time.format.DateTimeFormatter;
import org.joda.time.format.ISODateTimeFormat;
import org.opensearch.OpenSearchStatusException;
import org.opensearch.action.DocWriteRequest.OpType;
import org.opensearch.action.DocWriteResponse.Result;