## 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

 * This interface provides a contract for different script engine implementations
 * to process template strings with parameter substitution.
 */
public interface ScriptEngine {

    /**
     * Evaluates a template string with the provided parameter map.
     * The template is processed using the script engine's templating mechanism,
     * with parameters from the paramMap substituted into the template.
     *

     */
    public interface Filter {
        /**
         * Parses and potentially modifies the query string.
         *
         * @param query the query string to process
         * @param chain the next filter chain to invoke
         * @return the processed Query object
         */
        Query parse(final String query, final FilterChain chain);
    }

    /**

* mount (noun): mount (do not translate to "montura")
* mount (verb): montar
* statement (as in code statement): statement (do not translate to "declaración" or "sentencia")
* worker process: worker process (do not translate to "proceso trabajador" or "proceso de trabajo")
* worker processes: worker processes (do not translate to "procesos trabajadores" or "procesos de trabajo")
* worker: worker (do not translate to "trabajador")

# Extender OpenAPI { #extending-openapi }

Hay algunos casos en los que podrías necesitar modificar el esquema de OpenAPI generado.

En esta sección verás cómo hacerlo.

## El proceso normal { #the-normal-process }

El proceso normal (por defecto) es el siguiente.

Una aplicación (instance) de `FastAPI` tiene un método `.openapi()` que se espera que devuelva el esquema de OpenAPI.

             quit<b>)</b>
     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Started reloader process <b>[</b><font color="#34E2E2"><b>383138</b></font><b>]</b> using WatchFiles
     <span style="background-color:#007166"><font color="#D3D7CF"> INFO </font></span>  Started server process <b>[</b><font color="#34E2E2"><b>383153</b></font><b>]</b>

     * 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;

                            true);

            final int totalCount = process(options);
            if (totalCount != 0) {
                logger.info("Processed {} thumbnail task(s).", totalCount);
            } else {
                logger.info("No thumbnail tasks to process.");
            }
            exitCode = 0;
        } catch (final ContainerNotAvailableException e) {

      }
      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 (receivedCloseFrame) throw IOException("closed")

     * transformations based on configuration settings, and writes the processed thumbnail
     * to the specified output file.</p>
     *
     * @param input the image input stream containing the source image data
     * @param outputFile the file where the processed thumbnail will be saved
     * @return the result of the image processing operation