## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can
process images, audio, videos, and text. There are several modules specialized
in taking those formats, modifying them, and/or converting them to intermediate
formats that can be processed by TensorFlow.

These modifications and conversions are handled by a variety of libraries that

     * Performs the specified bean configuration.
     *
     * @param request The configuration request that specifies the bean and the configuration to process, must not be
     *            {@code null}.
     * @throws BeanConfigurationException If the bean configuration could not be successfully processed.
     */
    void configureBean(BeanConfigurationRequest request) throws BeanConfigurationException;

      }
      readControlFrame()
    }
  }

  /**
   * Reads a message body into across one or more frames. Control frames that occur between
   * fragments will be processed. If the message payload is masked this will unmask as it's being
   * processed.
   */
  @Throws(IOException::class)
  private fun readMessage() {
    while (true) {
      if (closed) throw IOException("closed")

      if (frameLength > 0L) {

errors.login_error=Username or Password is not correct.
errors.sso_login_error=Failed to process SSO login.
errors.could_not_find_log_file=Could not find {0}.
errors.failed_to_start_crawl_process=Failed to start a crawl process.
errors.invalid_design_jsp_file_name=Invalid JSP file.
errors.design_jsp_file_does_not_exist=JSP file does not exist.

* Soporte para **WebSocket**.
* <abbr title="En español: tareas que se ejecutan en el fondo, sin frenar requests, en el mismo proceso. En ingles: In-process background tasks">Tareas en background</abbr>.
* Eventos de startup y shutdown.
* Cliente de pruebas construido con HTTPX.
* **CORS**, GZip, Static Files, Streaming responses.

  // a termination signal and the time when the processes are forcibly halted with a kill signal.
  // Set this value longer than the expected cleanup time for your process.
  // Defaults to 30 seconds.
  // +optional
  optional int64 terminationGracePeriodSeconds = 4;

  // Optional duration in seconds the carp may be active on the node relative to

 * val response: Response = call.execute()
 * val multipartReader = MultipartReader(response.body!!)
 *
 * multipartReader.use {
 *   while (true) {
 *     val part = multipartReader.nextPart() ?: break
 *     process(part.headers, part.body)
 *   }
 * }
 * ```
 *
 * Note that [nextPart] will skip any unprocessed data from the preceding part. If the preceding

// Progress message payload is an XML document containing information about the progress of a request.
//   - BytesScanned => Number of bytes that have been processed before being uncompressed (if the file is compressed).
//   - BytesProcessed => Number of bytes that have been processed after being uncompressed (if the file is compressed).
//   - BytesReturned => Current number of bytes of records payload data returned by S3.
//

A queue is used to give a few properties:
* Ability to serially process updates received from a variety of different sources. This avoids need for other synchronization mechanisms like mutexes.
* Correctness at startup; with the sequencing above, items are only processed once all informers are synced. This means queries will not return stale data at startup.
* Deduping of identical events

- Kubeadm: during "reset" do not remove the only remaining stacked etcd member from the cluster and just proceed with the cleanup of the local etcd storage. ([#91145](https://github.com/kubernetes/kubernetes/pull/91145), [@tnqn](https://github.com/tnqn)) [SIG Cluster Lifecycle]