State:               toKubeContainerState(c.State),
	}, nil
}

// sandboxToKubeContainer converts runtimeapi.PodSandbox to kubecontainer.Container.
// This is only needed because we need to return sandboxes as if they were
// kubecontainer.Containers to avoid substantial changes to PLEG.
// TODO: Remove this once it becomes obsolete.

}

// killPod instructs the container runtime to kill the pod. This method requires that
// the pod status contains the result of the last syncPod, otherwise it may fail to
// terminate newly created containers and sandboxes.
func (kl *Kubelet) killPod(ctx context.Context, pod *v1.Pod, p kubecontainer.Pod, gracePeriodOverride *int64) error {
	// Call the container runtime KillPod method which stops all known running containers of the pod

	return runtimeService.ListPodSandbox(ctx, filter)
}

func (*defaultImpl) StopPodSandbox(ctx context.Context, runtimeService criapi.RuntimeService, sandboxID string) error {
	return runtimeService.StopPodSandbox(ctx, sandboxID)
}

func (*defaultImpl) RemovePodSandbox(ctx context.Context, runtimeService criapi.RuntimeService, podSandboxID string) error {
	return runtimeService.RemovePodSandbox(ctx, podSandboxID)

func (kl *Kubelet) ListMetricDescriptors(ctx context.Context) ([]*runtimeapi.MetricDescriptor, error) {
	return kl.containerRuntime.ListMetricDescriptors(ctx)
}

// ListPodSandboxMetrics retrieves the metrics for all pod sandboxes.
func (kl *Kubelet) ListPodSandboxMetrics(ctx context.Context) ([]*runtimeapi.PodSandboxMetrics, error) {
	return kl.containerRuntime.ListPodSandboxMetrics(ctx)
}

                throw new RuntimeException("Should have been a miss");
            });

        // Produce some example output (simulate executing cacheable work in a temporary sandbox)
        Path sandboxOutputDirectory = Files.createTempDirectory("sandbox-output");
        Path sandboxOutputTxt = sandboxOutputDirectory.resolve("output.txt");
        Files.write(sandboxOutputTxt, Collections.singleton("contents"));

			containers:  []string{"1", "2"},
			shouldError: false,
		},
		{
			name:       "invalid: remove pod sandbox fails",
			containers: []string{"1"},
			prepare: func(mock *fakeImpl) {
				mock.RemovePodSandboxReturns(errTest)
			},
			shouldError: true,
		},
		{
			name:       "invalid: stop pod sandbox fails",
			containers: []string{"1"},
			prepare: func(mock *fakeImpl) {
				mock.StopPodSandboxReturns(errTest)

   
      * Try Google Colab to use TensorFlow.
         * The easiest way to use TF will be to switch to [google colab](https://colab.sandbox.google.com/notebooks/welcome.ipynb#recent=true). You get pre-installed latest stable TF version. Also you can use ```pip install```  to install any other preferred TF version.

        return cleanOrCreate(perVersion)
    }

    private File perVersionStudioSandboxDirectory(File workingDir) {
        File studioSandboxDir = new File(workingDir, "studio-sandbox")
        return cleanOrCreate(studioSandboxDir)
    }

    private static File cleanOrCreate(File directory) {
        if (!directory.exists()) {
            directory.mkdirs()
        } else {

		Spec: v1.PodSpec{
			Containers: []v1.Container{
				{
					Name:            "foo",
					Image:           "busybox",
					ImagePullPolicy: v1.PullIfNotPresent,
				},
			},
		},
	}

	// Create fake sandbox and container
	_, fakeContainers := makeAndSetFakePod(t, m, fakeRuntime, pod)
	assert.Equal(t, len(fakeContainers), 1)

	containerID := fakeContainers[0].Id
	fakeOS := m.osInterface.(*containertest.FakeOS)

        "search": ["testSearch"],
        "options": ["testOption"]
    },
    "prevResult": {
        "cniversion": "%s",
        "interfaces": [
            {
                "name": "%s",
                "sandbox": "%s"
            }
        ],
        "ips": [
            {
                "version": "4",
                "address": "10.0.0.2/24",
                "gateway": "10.0.0.1",
                "interface": 0