fmt.Fprintf(writer, "   Pod Ports: %s\n", strings.Join(ports, ", "))
	} else {
		fmt.Fprintf(writer, "   Pod does not expose ports\n")
	}

	if pod.Status.Phase != corev1.PodRunning {
		fmt.Printf("   Pod is not %s (%s)\n", corev1.PodRunning, pod.Status.Phase)
		return
	}

	for _, containerStatus := range pod.Status.ContainerStatuses {
		if !containerStatus.Ready {

  //
  // IfHealthyBudget policy means that running pods (status.phase="Running"),
  // but not yet healthy can be evicted only if the guarded application is not
  // disrupted (status.currentHealthy is at least equal to status.desiredHealthy).
  // Healthy pods will be subject to the PDB for eviction.
  //
  // AlwaysAllow policy means that all running pods (status.phase="Running"),

# (11)
CMD ["uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "80"]
```

1. Dies ist die erste Phase, genannt `requirements-stage` – „Anforderungsphase“.

2. Setze `/tmp` als aktuelles Arbeitsverzeichnis.

    Hier werden wir die Datei `requirements.txt` generieren.

3. Installiere Poetry in dieser Docker-Phase.

4. Kopiere die Dateien `pyproject.toml` und `poetry.lock` in das Verzeichnis `/tmp`.

import org.apache.maven.project.MavenProject;
import org.slf4j.Logger;
import org.slf4j.LoggerFactory;

/**
 * Utility class to extract {@link MavenProject} from the project graph during the execution phase based on optional or
 * required selectors.
 */
public final class ProjectSelector {
    private static final Logger LOGGER = LoggerFactory.getLogger(ProjectSelector.class);

- Kubeadm: `kubeadm upgrade apply` now supports phase sub-command, user 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]...

  val filters = listOf<PostDiscoveryFilter>()
  val discoveryOrchestrator = EngineDiscoveryOrchestrator(listOf(testEngine), filters)
  val discovered = discoveryOrchestrator.discover(request, EngineDiscoveryOrchestrator.Phase.EXECUTION)

  return discovered.getEngineTestDescriptor(testEngine).descendants.toList()
}

/**
 * Builds the awkwardly package private TreePrintingListener listener which we would like to use

}

fun applyDefaultDependencies(model: CIBuildModel, buildType: BuildType, dependsOnQuickFeedbackLinux: Boolean) {
    if (dependsOnQuickFeedbackLinux) {
        // wait for quick feedback phase to finish successfully
        buildType.dependencies {
            dependsOn(RelativeId(stageTriggerId(model, StageName.QUICK_FEEDBACK_LINUX_ONLY)))
        }
    }
    if (buildType !is CompileAll) {

	fs.On("RemovePodFromMesh",
		ctx,
		mock.Anything,
		true,
	).Once().Return(nil)

	// Patch the pod to a succeeded status
	phasePatch := []byte(`{"status":{"phase":"Succeeded"}}`)
	_, err = client.Kube().CoreV1().Pods(pod.Namespace).Patch(ctx, pod.Name,
		types.MergePatchType, phasePatch, metav1.PatchOptions{})
	assert.NoError(t, err)

	// wait for an update events

				{
					EphemeralContainerCommon: corev1.EphemeralContainerCommon{
						Name: "debugger",
					},
				},
			},
		},
		Status: corev1.PodStatus{
			Phase: corev1.PodRunning,
		},
	}
}

func attachDeploy(ns string) *appsv1.Deployment {
	return &appsv1.Deployment{
		ObjectMeta: metav1.ObjectMeta{
			Name:      "foo",
			Namespace: ns,
		},

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)