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

	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)

                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.