}

	for _, test := range tests {
		err := ValidateAppArmorProfileFormat(test.profile)
		if test.expectValid {
			assert.NoError(t, err, "Profile %s should be valid", test.profile)
		} else {
			assert.Error(t, err, fmt.Sprintf("Profile %s should not be valid", test.profile))
		}
	}
}

func TestValidateDownwardAPIHostIPs(t *testing.T) {
	testCases := []struct {

    analyzing input pipeline performance with TF Profiler.

*   [`tf.distribute.TPUStrategy`](https://www.tensorflow.org/api_docs/python/tf/distribute/TPUStrategy)
    is now a stable API and no longer considered experimental for TensorFlow.
    (earlier `tf.distribute.experimental.TPUStrategy`).

*   [TF Profiler](https://www.tensorflow.org/guide/profiler) introduces two new
    tools: a memory profiler to visualize your model’s memory usage over time

        "properties": {
          "localhostProfile": {