tracker.setObject("")
		tracker.setBucket("")
		healingLogIf(ctx, tracker.update(ctx))
	}()

	for _, bucket := range healBuckets {
		if err := bgSeq.healBucket(objAPI, bucket, true); err != nil {
			// Log bucket healing error if any, we shall retry again.
			healingLogIf(ctx, err)
		}
	}

	info, err := tracker.disk.DiskInfo(ctx, DiskInfoOptions{})
	if err != nil {

 * governing permissions and limitations under the License.
 */
package org.codelibs.fess.es.log.cbean.cq.bs;

import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.Collection;

import org.codelibs.fess.es.log.allcommon.EsAbstractConditionQuery;
import org.codelibs.fess.es.log.cbean.cq.ClickLogCQ;
import org.dbflute.cbean.ckey.ConditionKey;
import org.opensearch.index.query.BoolQueryBuilder;

    }

    protected void handleFileUploadException(final FileUploadException e) throws ServletException {
        // suppress logging because it can be caught by logging filter
        //log.error("Failed to parse multipart request", e);
        throw new ServletException("Failed to upload the file.", e);
    }

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

                // ModelBuildingEx is thrown only on FATAL and ERROR severities, but we still can have WARNs
                // that may lead to unexpected build failure, log them
                if (!modelResult.getProblems().isEmpty()) {
                    List<ModelProblem> problems = modelResult.getProblems();
                    if (logger.isDebugEnabled()) {

`RequestValidationError` é uma subclasse do <a href="https://docs.pydantic.dev/latest/#error-handling" class="external-link" target="_blank">`ValidationError`</a> existente no Pydantic.

**FastAPI** faz uso dele para que você veja o erro no seu log, caso você utilize um modelo de Pydantic em `response_model`, e seus dados tenham erro.

Contudo, o cliente ou usuário não terão acesso a ele. Ao contrário, o cliente receberá um "Internal Server Error" com o HTTP status code `500`.

   * KeyPresentBehavior} decides which index is returned. If no elements compare as equal to the
   * key, the choice of {@link KeyAbsentBehavior} decides which index is returned.
   *
   * <p>This method runs in log(n) time on random-access lists, which offer near-constant-time
   * access to each list element.
   *
   * @param list the list to be searched.
   * @param key the value to be searched for.

**FastAPI** verwendet diesen, sodass Sie, wenn Sie ein Pydantic-Modell für `response_model` verwenden, und ihre Daten fehlerhaft sind, einen Fehler in ihrem Log sehen.

Aber der Client/Benutzer sieht ihn nicht. Stattdessen erhält der Client einen <abbr title="Interner Server-Fehler">„Internal Server Error“</abbr> mit einem HTTP-Statuscode `500`.

# TF_ANY_TARGETS=":your/target" TF_ANY_MODE="test" ci/official/any.sh

# Afterwards: Examine the results, which will include: The bazel cache,
# generated artifacts like .whl files, and "script.log", from the script.
# Note that files created under Docker will be owned by "root".
ls build_output
```

## Contribution & Maintenance

The TensorFlow team does not yet have guidelines in place for contributing to

          taskRunner.newQueue().execute("$connectionName[$streamId] onStream") {
            try {
              listener.onStream(newStream)
            } catch (e: IOException) {
              Platform.get().log("Http2Connection.Listener failure for $connectionName", INFO, e)
              ignoreIoExceptions {
                newStream.close(ErrorCode.PROTOCOL_ERROR, e)
              }
            }
          }

      debugData = source.readByteString(opaqueDataLength.toLong())
    }
    handler.goAway(lastStreamId, errorCode, debugData)
  }

  /** Unlike other `readXxx()` functions, this one must log the frame before returning. */
  @Throws(IOException::class)
  private fun readWindowUpdate(
    handler: Handler,
    length: Int,
    flags: Int,
    streamId: Int,
  ) {
    val increment: Long