"WORM can only accept `on` and `off` values. To enable WORM, set this value to `on`",
	)

	ErrInvalidConfigDecryptionKey = newErrFn(
		"Incorrect encryption key to decrypt internal data",
		"Please set the correct default KMS key value or the correct root credentials for older MinIO versions.",
		`Revert MINIO_KMS_KES_KEY_NAME or MINIO_ROOT_USER/MINIO_ROOT_PASSWORD (for older MinIO versions) to be able to decrypt the internal data again.`,
	)

    /** The key of the message: Failed to start reindexing from {0} to {1} */
    public static final String ERRORS_failed_to_reindex = "{errors.failed_to_reindex}";

    /** The key of the message: Failed to read request file: {0} */
    public static final String ERRORS_failed_to_read_request_file = "{errors.failed_to_read_request_file}";

   *
   * @param from the input stream to read from
   * @param to the output stream to write to
   * @return the number of bytes copied
   * @throws IOException if an I/O error occurs
   */
  @CanIgnoreReturnValue
  public static long copy(InputStream from, OutputStream to) throws IOException {
    checkNotNull(from);
    checkNotNull(to);
    byte[] buf = createBuffer();
    long total = 0;

   * is complete. It does so by using daemon threads and adding a shutdown hook to wait for their
   * completion.
   *
   * <p>This is mainly for fixed thread pools. See {@link Executors#newFixedThreadPool(int)}.
   *
   * @param executor the executor to modify to make sure it exits when the application is finished
   * @param terminationTimeout how long to wait for the executor to finish before terminating the
   *     JVM

2012-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

      error_msg='Invalid gcc path. %s cannot be found.',
  )

  write_action_env_to_bazelrc('GCC_HOST_COMPILER_PATH', gcc_host_compiler_path)


def choose_compiler(environ_cp):
  question = 'Do you want to use Clang to build TensorFlow?'
  yes_reply = 'Clang will be used to compile TensorFlow.'
  no_reply = 'GCC will be used to compile TensorFlow.'
  var = int(
      get_var(

  // value.  Setting to 1 means that parallelism is limited to 1 and the success of that
  // pod signals the success of the job.
  // More info: https://kubernetes.io/docs/concepts/workloads/controllers/jobs-run-to-completion/
  // +optional
  optional int32 completions = 2;

  // Specifies the duration in seconds relative to the startTime that the job

* Convert the copied model to something that can be stored in your DB (for example, using the `jsonable_encoder`).
    * This is comparable to using the model's `.model_dump()` method again, but it makes sure (and converts) the values to data types that can be converted to JSON, for example, `datetime` to `str`.
* Save the data to your DB.
* Return the updated model.

=== "Python 3.10+"

/**
 * A container for data that is specific to a session.
 * All components may use this storage to associate arbitrary data with a session.
 * <p>
 * Unlike a cache, this session data is not subject to purging. For this same reason, session data should also not be
 * abused as a cache (i.e. for storing values that can be re-calculated) to avoid memory exhaustion.
 * <p>

        Any,
        Doc(
            """
            The input object to convert to JSON.
            """
        ),
    ],
    include: Annotated[
        Optional[IncEx],
        Doc(
            """
            Pydantic's `include` parameter, passed to Pydantic models to set the
            fields to include.
            """
        ),
    ] = None,
    exclude: Annotated[