ctx, cancel := defaultContext()
	defer cancel()

	sandboxes, err := runtime.impl.ListPodSandbox(ctx, runtime.runtimeService, nil)
	if err != nil {
		return nil, errors.Wrap(err, "failed to list pod sandboxes")
	}

	pods := []string{}
	for _, sandbox := range sandboxes {
		pods = append(pods, sandbox.GetId())
	}
	return pods, nil
}

// RemoveContainers removes running k8s pods

		if s.State == runtimeapi.PodSandboxState_SANDBOX_READY {
			readySandboxCount++
		}
	}

	// Needs to create a new sandbox when readySandboxCount > 1 or the ready sandbox is not the latest one.
	sandboxStatus := podStatus.SandboxStatuses[0]
	if readySandboxCount > 1 {
		klog.V(2).InfoS("Multiple sandboxes are ready for Pod. Need to reconcile them", "pod", klog.KObj(pod))
		return true, sandboxStatus.Metadata.Attempt + 1, sandboxStatus.Id
	}

		expectedChanged   bool
		expectedAttempt   uint32
		expectedSandboxID string
	}{
		"Pod with no existing sandboxes": {
			pod:               &v1.Pod{},
			status:            &kubecontainer.PodStatus{},
			expectedChanged:   true,
			expectedAttempt:   0,
			expectedSandboxID: "",
		},
		"Pod with multiple ready sandbox statuses": {
			pod: &v1.Pod{},
			status: &kubecontainer.PodStatus{

	original := file.AsStringOrFail(t, "/etc/nsswitch.conf")
	var sandboxed string

	originalNetNS, err := netns.Get()
	assert.NoError(t, err)
	var sandboxedNetNS netns.NsHandle

	// Due to unshare-go imports above, this can run
	assert.NoError(t, runInSandbox("", func() error {
		// We should have overwritten this file with /dev/null
		sandboxed = file.AsStringOrFail(t, "/etc/nsswitch.conf")
		sandboxedNetNS, err = netns.Get()

	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)

libraries we consider that it is safe to work with untrusted inputs for PNG,
BMP, GIF, WAV, RAW, RAW\_PADDED, CSV and PROTO formats. All other input formats,
including tensorflow-io should be sandboxed if used to process untrusted data.

For example, if an attacker were to upload a malicious video file, they could
potentially exploit a vulnerability in the TensorFlow code that handles videos,

                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"));

   
      * 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.