### Contenedores con Múltiples Procesos y Casos Especiales

Por supuesto, hay **casos especiales** donde podrías querer tener **un contenedor** con varios **worker processes de Uvicorn** dentro.

En esos casos, puedes usar la opción de línea de comandos `--workers` para establecer el número de workers que deseas ejecutar:

```{ .dockerfile .annotate }
FROM python:3.9

 * being used.
 * </td></tr>
 * </table>
 *
 * <p>See <a href="../../../pipes.html">Using jCIFS to Connect to Win32
 * Named Pipes</a> for a detailed description of how to use jCIFS with
 * Win32 Named Pipe server processes.
 *
 */

public class SmbNamedPipe extends SmbFile {

    /**
     * The pipe should be opened read-only.
     */

    public static final int PIPE_TYPE_RDONLY = O_RDONLY;

    /**

     * Filters are applied in the order they are added to this list.
     */
    protected List<Filter> filterList = new ArrayList<>();

    /**
     * The filter chain that processes queries through all registered filters
     * before executing the appropriate query command.
     */
    protected FilterChain filterChain;

    /**
     * Initializes the query processor after construction.

        QueryBuilder result = boostQueryCommand.execute(context, outerBoostQuery, 1.0f);

        assertNotNull(result);
        // BoostQueryCommand recursively processes nested BoostQueries
        // The result could be either TermQueryBuilder or DefaultQueryBuilder
        assertTrue(result instanceof TermQueryBuilder || result instanceof DefaultQueryBuilder);

# Maximum number of crawler processes.
job.max.crawler.processes=0
# Default script language for jobs.
job.default.script=groovy
# Pattern to filter system properties for jobs.
job.system.property.filter.pattern=

# Number of processors to use.
processors=0
# Path to Java command.
java.command.path=java
# Path to Python command.

                }
            }
        }
        return queryBuf.toString().trim();
    }

    /**
     * Appends various search conditions to the query buffer.
     * Processes advanced search parameters like occurrence, phrases, OR queries, NOT queries,
     * file types, site searches, and timestamp filters.
     *
     * @param queryBuf the StringBuilder to append conditions to

      return true
    }

    var pos = pos + 4 // 'xn--'.size.

    // We'd prefer to operate directly on `result` but it doesn't offer insertCodePoint(), only
    // appendCodePoint(). The Punycode algorithm processes code points in increasing code-point
    // order, not in increasing index order.
    val codePoints = mutableListOf<Int>()

    // consume all code points before the last delimiter (if there is one)

  }

  /*
   * @IgnoreJRERequirement should be redundant with the one on Streams itself, but it's necessary as
   * of Animal Sniffer 1.24. Maybe Animal Sniffer processes this nested class before it processes
   * Streams and thus hasn't had a chance to see Streams's annotation?
   */
  @IgnoreJRERequirement
  private abstract static class MapWithIndexSpliterator<
          F extends Spliterator<?>,

import org.opensearch.index.query.QueryBuilders;
import org.opensearch.search.sort.SortOrder;

/**
 * Command class for handling term query execution and conversion.
 * This class processes Lucene TermQuery objects and converts them to OpenSearch QueryBuilder instances.
 */
public class TermQueryCommand extends QueryCommand {
    private static final Logger logger = LogManager.getLogger(TermQueryCommand.class);

    protected WebConfigService webConfigService;

    /** Service for managing file crawler configurations */
    @Resource
    protected FileConfigService fileConfigService;

    /** Helper for managing crawler processes */
    @Resource
    protected ProcessHelper processHelper;

    /** Service for managing scheduled jobs */
    @Resource
    protected ScheduledJobService scheduledJobService;