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b0265bed42
Tests for scaling down based on external metric are flaky. I think this is because they: - Start with 2 replicas, - Export metric value == 1/2 target, - Expect scale down to 1. Since the expected recommendation is exactly 1 it might flake (and with scale down stabilization any recommendations higher than 1 will persist). Change expected value of the metric so recommended size will be lower than 1. This should make those tests less flaky.