//                                                                           =========
    @Resource
    private CrawlingInfoService crawlingInfoService;

    /** Helper for managing crawling processes and session information */
    @Resource
    protected ProcessHelper processHelper;

    // ===================================================================================

        if (logger.isDebugEnabled()) {
            logger.debug("store {} in session", stateData);
        }
        stateMap.put(state, stateData);
    }

    /**
     * Processes authentication data from the OAuth2 callback.
     * @param request The HTTP servlet request containing authentication data.
     * @return The login credential or null if processing fails.
     */

     */
    @Execute
    @Secured({ ROLE, ROLE + VIEW })
    public HtmlResponse index() {
        return asListHtml(this::saveToken);
    }

    /**
     * Processes uploaded search request files and executes them against the search engine.
     *
     * @param form the upload form containing the request file
     * @return action response with the search results or error page
     */

if [ "${SVCACCT_COUNT_2}" -ne 0 ]; then
	echo "BUG: Expected svcacct count for 'uid=dillon,ou=people,ou=swengg,dc=min,dc=io': 0. Found: ${SVCACCT_COUNT_2}"
	exit 1
fi

# Finally kill running processes
pkill minio

import org.opensearch.index.query.QueryBuilders;

import jakarta.servlet.http.HttpServletRequest;

/**
 * Entity class that handles geographic information for search queries.
 * This class processes geographic query parameters from HTTP requests and converts them
 * into OpenSearch geo-distance queries for location-based search functionality.
 *
 */
public class GeoInfo {

///

---

In this scenario of the parallel burgers, you are a computer / program 🤖 with two processors (you and your crush), both waiting 🕙 and dedicating their attention ⏯ to be "waiting on the counter" 🕙 for a long time.

The fast food store has 8 processors (cashiers/cooks). While the concurrent burgers store might have had only 2 (one cashier and one cook).

## Let's Encrypt

Avant Let's Encrypt, ces certificats HTTPS étaient vendus par des tiers de confiance.

Le processus d'acquisition d'un de ces certificats était auparavant lourd, nécessitait pas mal de paperasses et les certificats étaient assez chers.

      into.putInt(from);
    }

    @Override
    public String toString() {
      return "Funnels.integerFunnel()";
    }
  }

  /**
   * Returns a funnel that processes an {@code Iterable} by funneling its elements in iteration
   * order with the specified funnel. No separators are added between the elements.
   *
   * @since 15.0
   */

      into.putInt(from);
    }

    @Override
    public String toString() {
      return "Funnels.integerFunnel()";
    }
  }

  /**
   * Returns a funnel that processes an {@code Iterable} by funneling its elements in iteration
   * order with the specified funnel. No separators are added between the elements.
   *
   * @since 15.0
   */

        // Set small amounts so everything fits in one message
        transaction.setParameterBytesWritten(10);
        transaction.setDataBytesWritten(10);

        // First call processes all data
        transaction.nextElement();

        // Should have no more elements since all data fit in first message