//                                                                               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

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)

- : `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...

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

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

Ce n'est pas un hasard, ce framework entier a été bâti avec ce design comme objectif.

Et cela a été rigoureusement testé durant la phase de design, avant toute implémentation, pour s'assurer que cela fonctionnerait avec tous les éditeurs.

Des changements sur Pydantic ont même été faits pour supporter cela.

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.

- [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))

// Return shuffled partsMetadata depending on fi.Distribution.
// additional validation is attempted and invalid metadata is
// automatically skipped only when fi.ModTime is non-zero
// indicating that this is called during read-phase
func shuffleDisksAndPartsMetadata(disks []StorageAPI, partsMetadata []FileInfo, fi FileInfo) (shuffledDisks []StorageAPI, shuffledPartsMetadata []FileInfo) {
	shuffledDisks = make([]StorageAPI, len(disks))

- Give terminal phase correctly to all pods that will not be restarted. 

  In particular, assign Failed phase to pods which are deleted while pending. Also, assign a terminal 
  phase (Succeeded or Failed, depending on the exit statuses of the pod containers) to pods which
  are deleted while running.
  

 * add(x)} operations <i>do not</i> create objects for the garbage collector to deal with, and for
 * every element added, the garbage collector will have to traverse {@code 1.5} references on
 * average, in the marking phase, not {@code 5.0} as in {@code java.util.HashSet}.
 *
 * <p>If there are no removals, then {@link #iterator iteration} order is the same as insertion
 * order. Any removal invalidates any ordering guarantees.
 *