//                                                                               Hook
    //                                                                              ======
    /**
     * Handles the prologue phase of action execution.
     * <p>
     * This method catches UserRoleLoginException and redirects to the
     * appropriate action class.
     * </p>
     *
     * @param runtime the action runtime context

This registers a potential testCluster named `somecluster` and provides a provider instance, but doesn't create it yet nor configures it. This makes the gradle configuration phase more efficient by 
doing less.

To wire this registered cluster into a `TestClusterAware` task (e.g. `RestIntegTest`) you can resolve the actual cluster from the provider instance:

import okhttp3.tls.internal.TlsUtil.newTrustManager

/**
 * Certificates to identify which peers to trust and also to earn the trust of those peers in kind.
 * Client and server exchange these certificates during the handshake phase of a TLS connection.
 *
 * ### Server Authentication
 *
 * This is the most common form of TLS authentication: clients verify that servers are trusted and

  project
- nice little sample projects that could be run in the core as well as integration tests

All Possible Errors
- invalid lifecycle phase (maybe same as bad CLI param, though you were talking about embedder too)
- <module> specified is not found
- malformed settings
- malformed POM
- local repository not writable
- remote repositories not available

TensorFlow has several execution modes, with Eager-mode being the default in v2.
Eager mode lets users write imperative-style statements that can be easily
inspected and debugged and it is intended to be used during the development
phase.

As part of the differences that make Eager mode easier to debug, the [shape
inference
functions](https://www.tensorflow.org/guide/create_op#define_the_op_interface)

You also get error checks for incorrect type operations:

<img src="/img/tutorial/body/image04.png">

This is not by chance, the whole framework was built around that design.

And it was thoroughly tested at the design phase, before any implementation, to ensure it would work with all the editors.

There were even some changes to Pydantic itself to support this.

- : `kubeadm upgrade apply` now supports phase sub-command, users can use `kubeadm upgrade apply phase <phase-name>` to execute the specified phase, or use `kubeadm upgrade apply --skip-phases <phase-names>` to skip some phases during cluster upgrade. ([#126032](https://github.com/kubernetes/kubernetes/pull/126032), [@SataQiu](https://github.com/SataQiu)) [SIG Cluster Lifecycle]

                for (Dependency dependency : result.getUnresolvedDependencies()) {
                    logger.warn("o {}", dependency);
                }

                logger.warn("Try running the build up to the lifecycle phase \"package\"");
            } else {
                throw new LifecycleExecutionException(messageBuilderFactory, null, project, e);
            }
        }

        eventSpyDispatcher.onEvent(result);

- [migration phase 1] PodFitsHostPorts as filter plugin ([#83659](https://github.com/kubernetes/kubernetes/pull/83659), [@wgliang](https://github.com/wgliang))
- [migration phase 1] PodFitsResources as framework plugin ([#83650](https://github.com/kubernetes/kubernetes/pull/83650), [@wgliang](https://github.com/wgliang))

                pw.accept(s);
            }
        }

        protected String commandLineSyntax(String command) {
            return command + " [options] [<goal|phase> ...]";
        }
    }