## Pydantic `bytes` for Input and Output Data { #pydantic-bytes-for-input-and-output-data }

And of course, you can use the same model configured to use base64 to handle both input (*validate*) with `val_json_bytes` and output (*serialize*) with `ser_json_bytes` when receiving and sending JSON data.

  virtual ImmediateExecutionContext* GetContext() const = 0;

  // Following two methods are used to support custom device.
  // Return true if the inputs contain custom device tensor handle. It means
  // that the argument need to be handled by a custom device.
  virtual bool HasCustomDeviceInput() const = 0;

  virtual const tensorflow::OpDef* OpDef() const = 0;

def _get_signature(call: Callable[..., Any]) -> inspect.Signature:
    try:
        signature = inspect.signature(call, eval_str=True)
    except NameError:
        # Handle type annotations with if TYPE_CHECKING, not used by FastAPI
        # e.g. dependency return types
        if sys.version_info >= (3, 14):
            from annotationlib import Format

A single HTTP call may require follow-up requests to be made to handle authentication challenges, redirects, and HTTP-layer timeouts. In such cases multiple connections, requests, and responses may be attempted. Follow-ups are another reason a single call may trigger multiple events of the same type.

        // Create new instance after registering the updated config
        purgeDocJob = new PurgeDocJob();

        // Execute the job - should handle empty field name gracefully
        try {
            String result = purgeDocJob.execute();
            // The job should handle the exception internally but since QueryBuilders.rangeQuery
            // throws immediately with empty field name, we need to catch it here

          <version>1.0.0</version>
          <description>How to handle downloading of releases from this repository</description>
          <association>
            <type>RepositoryPolicy</type>
          </association>
        </field>
        <field>
          <name>snapshots</name>
          <version>1.0.0</version>
          <description>How to handle downloading of snapshots from this repository</description>

        assertNull(exception.getCause(), "Cause should be null when not specified");
    }

    @ParameterizedTest
    @DisplayName("Message constructor should handle crypto-specific error messages")
    @NullAndEmptySource
    @ValueSource(strings = { "AES encryption not supported", "Missing Bouncy Castle provider", "Invalid key length for AES-128",

 * CharSource CharSource}, {@link ByteSink ByteSink} and {@link CharSink CharSink}. They are
 * factories for I/O streams that provide many convenience methods that handle both opening and
 * closing streams for you.
 *
 * <p>This package is a part of the open-source <a href="https://github.com/google/guava">Guava</a>

 */
public class MsrpcQueryInformationPolicy extends lsarpc.LsarQueryInformationPolicy {

    /**
     * Constructs a new MsrpcQueryInformationPolicy request.
     *
     * @param policyHandle the policy handle obtained from LsarOpenPolicy
     * @param level the information level to query
     * @param info the NdrObject to receive the policy information
     */

import jakarta.annotation.PostConstruct;

/**
 * FessMimeTypeHelper extends MimeTypeHelperImpl to provide Fess-specific
 * MIME type detection configuration. It reads extension-to-MIME-type override
 * mappings from FessConfig to handle cases where content-based detection
 * produces incorrect results (e.g., SQL files starting with REM comments
 * being misdetected as batch files).
 */
public class FessMimeTypeHelper extends MimeTypeHelperImpl {