Se você quiser capturar exceções e criar uma resposta personalizada com base nisso, crie um [Manipulador de Exceções Customizado](../handling-errors.md#install-custom-exception-handlers){.internal-link target=_blank}.

## Dependências com `yield` e `except` { #dependencies-with-yield-and-except }

    end
    opt Raise other exception
        tasks -->> dep: Raise other exception
    end
    Note over dep: After yield
    opt Handle other exception
        dep -->> dep: Handle exception, can't change response. E.g. close DB session.
    end
```

     * which was showing transitive inconsistency: since A > B and B > C then we should have A > C
     * otherwise sorting a list of ComparableVersions() will in some cases throw runtime exception;
     * see Netbeans issues <a href="https://netbeans.org/bugzilla/show_bug.cgi?id=240845">240845</a> and
     * <a href="https://netbeans.org/bugzilla/show_bug.cgi?id=226100">226100</a>
     */
    @Test

        exc_class_or_status_code: Annotated[
            Union[int, type[Exception]],
            Doc(
                """
                The Exception class this would handle, or a status code.
                """
            ),
        ],
    ) -> Callable[[DecoratedCallable], DecoratedCallable]:
        """
        Add an exception handler to the app.

        Read more about it in the

 *   <li>Setting {@code maven.consumer.pom.flatten=true} removes them during transformation</li>
 *   <li>Otherwise, an exception is thrown requiring one of the above options or manual mixin removal</li>
 * </ul>
 * <p>
 * <b>Dependency Filtering</b>: For non-POM projects with dependency management, the builder:
 * <ul>

]

# List of files to move when building for iOS.
IOS_FILES = [
    'tensorflow/lite/objc/TensorFlowLiteObjC.podspec',
    'tensorflow/lite/swift/TensorFlowLiteSwift.podspec',
]


class UserInputError(Exception):
  pass


def is_windows():
  return platform.system() == 'Windows'


def is_linux():
  return platform.system() == 'Linux'


def is_macos():
  return platform.system() == 'Darwin'

        files.
*   Eager Execution:
    *   With eager execution Datasets can now be used as standard python
        iterators (`for batch in dataset:`). Both `Dataset.__iter__()` and
        `Dataset.make_one_shot_iterator()` can now be used to create iterators
        when eager execution is enabled.
    *   Automatic device placement has been enabled (i.e., use a GPU if

                    "Response not awaited. There's a high chance that the "
                    "application code is raising an exception and a dependency with yield "
                    "has a block with a bare except, or a block with except Exception, "
                    "and is not raising the exception again. Read more about it in the "

                String interpolated =
                        ssi.interpolate(interpolatedModel.getParent().getVersion());
                interpolatedModel.getParent().setVersion(interpolated);
            } catch (Exception e) {
                ModelProblemCollectorRequest mpcr = new ModelProblemCollectorRequest(Severity.ERROR, Version.BASE)
                        .setMessage("Failed to interpolate field: "

                    if (executionId != null) {
                        for (PluginExecution execution : plugin.getExecutions()) {
                            if (executionId.equals(execution.getId())) {
                                // NOTE: The PluginConfigurationExpander already merged the plugin-level config in
                                dom = (Xpp3Dom) execution.getConfiguration();
                                break;