1 files changed, 0 insertions, 109 deletions
diff --git a/node-repository/src/test/java/com/yahoo/vespa/hosted/provision/autoscale/ClusterTimeseriesTest.java b/node-repository/src/test/java/com/yahoo/vespa/hosted/provision/autoscale/ClusterTimeseriesTest.java
deleted file mode 100644
index 89fe2d76159..00000000000
--- a/node-repository/src/test/java/com/yahoo/vespa/hosted/provision/autoscale/ClusterTimeseriesTest.java
+++ /dev/null
@@ -1,109 +0,0 @@
-// Copyright Verizon Media. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
-package com.yahoo.vespa.hosted.provision.autoscale;
-
-import com.yahoo.config.provision.ClusterSpec;
-import com.yahoo.test.ManualClock;
-import org.junit.Test;
-
-import java.time.Duration;
-import java.util.ArrayList;
-import java.util.List;
-import java.util.function.IntFunction;
-
-import static org.junit.Assert.assertEquals;
-
-/**
- * @author bratseth
- */
-public class ClusterTimeseriesTest {
-
-    private static final double delta = 0.001;
-    private static final ClusterSpec.Id cluster = new ClusterSpec.Id("test");
-
-    @Test
-    public void test_empty() {
-        var timeseries = new ClusterTimeseries(cluster, List.of());
-        assertEquals(0.1, timeseries.maxQueryGrowthRate(), delta);
-    }
-
-    @Test
-    public void test_constant_rate_short() {
-        var clock = new ManualClock();
-        var timeseries = new ClusterTimeseries(cluster, rate(10, clock, t -> 50.0));
-        assertEquals(0.1, timeseries.maxQueryGrowthRate(), delta);
-    }
-
-    @Test
-    public void test_constant_rate_long() {
-        var clock = new ManualClock();
-        var timeseries = new ClusterTimeseries(cluster, rate(10000, clock, t -> 50.0));
-        assertEquals(0.0, timeseries.maxQueryGrowthRate(), delta);
-    }
-
-    @Test
-    public void test_single_spike() {
-        var clock = new ManualClock();
-        var snapshots = new ArrayList<ClusterMetricSnapshot>();
-        snapshots.addAll(rate(1000, clock, t ->  50.0));
-        snapshots.addAll(rate(  10, clock, t -> 400.0));
-        snapshots.addAll(rate(1000, clock, t ->  50.0));
-        assertEquals((400-50)/5.0/50.0, new ClusterTimeseries(cluster, snapshots).maxQueryGrowthRate(), delta);
-    }
-
-    @Test
-    public void test_three_spikes() {
-        var clock = new ManualClock();
-        var snapshots = new ArrayList<ClusterMetricSnapshot>();
-        snapshots.addAll(rate(1000, clock, t ->  50.0));
-        snapshots.addAll(rate(  10, clock, t -> 400.0));
-        snapshots.addAll(rate(1000, clock, t ->  50.0));
-        snapshots.addAll(rate(  10, clock, t -> 600.0));
-        snapshots.addAll(rate(1000, clock, t ->  50.0));
-        snapshots.addAll(rate(  10, clock, t -> 800.0));
-        snapshots.addAll(rate(1000, clock, t ->  50.0));
-        assertEquals((800-50)/5.0/50.0, new ClusterTimeseries(cluster, snapshots).maxQueryGrowthRate(), delta);
-    }
-
-    @Test
-    public void test_single_hill() {
-        var clock = new ManualClock();
-        var snapshots = new ArrayList<ClusterMetricSnapshot>();
-        snapshots.addAll(rate(100, clock, t ->  (double)t));
-        snapshots.addAll(rate(100, clock, t -> 100.0 - t));
-        assertEquals(1/5.0, new ClusterTimeseries(cluster, snapshots).maxQueryGrowthRate(), delta);
-    }
-
-    @Test
-    public void test_smooth_curve() {
-        var clock = new ManualClock();
-        var timeseries = new ClusterTimeseries(cluster, rate(10000, clock,
-                                                             t -> 10.0 + 100.0 * Math.sin(t)));
-        assertEquals(0.26, timeseries.maxQueryGrowthRate(), delta);
-    }
-
-    @Test
-    public void test_smooth_curve_small_variation() {
-        var clock = new ManualClock();
-        var timeseries = new ClusterTimeseries(cluster, rate(10000, clock,
-                                                                           t -> 1000.0 + 10.0 * Math.sin(t)));
-        assertEquals(0.0, timeseries.maxQueryGrowthRate(), delta);
-    }
-
-    @Test
-    public void test_two_periods() {
-        var clock = new ManualClock();
-        var timeseries = new ClusterTimeseries(cluster, rate(10000, clock,
-                                                             t -> 10.0 + 100.0 * Math.sin(t) + 80.0 * Math.sin(10 * t)) );
-        assertEquals(1.765, timeseries.maxQueryGrowthRate(), delta);
-    }
-
-    private List<ClusterMetricSnapshot> rate(int count, ManualClock clock, IntFunction<Double> rate) {
-        List<ClusterMetricSnapshot> snapshots = new ArrayList<>();
-        for (int i = 0; i < count; i++) {
-            snapshots.add(new ClusterMetricSnapshot(clock.instant(), rate.apply(i)));
-            clock.advance(Duration.ofMinutes(5));
-        }
-        return snapshots;
-    }
-
-}