}

    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()) {

  // Defaults to /dev/termination-log.
  // Cannot be updated.
  // +optional
  optional string terminationMessagePath = 13;

  // Indicate how the termination message should be populated. File will use the contents of
  // terminationMessagePath to populate the container status message on both success and failure.
  // FallbackToLogsOnError will use the last chunk of container log output if the termination

# 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

                event.getSession()
                        .getResult()
                        .addException(
                                new Exception("Build failed due to log statements with a higher severity than allowed. "
                                        + "Fix the logged issues or remove flag --fail-on-severity (-fos)."));
            }

            logResult(event.getSession());

**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`.

   * 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.

`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`.

          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)
              }
            }
          }

        }
    }

    @Override
    protected void configureLogging(C context) throws Exception {
        super.configureLogging(context);
        // Create the build log appender
        ProjectBuildLogAppender projectBuildLogAppender =
                new ProjectBuildLogAppender(determineBuildEventListener(context));
        context.closeables.add(projectBuildLogAppender);
    }