--- a/hotspot/src/share/vm/gc/g1/g1Predictions.cpp	Thu Sep 15 17:15:53 2016 +0000
+++ /dev/null	Thu Jan 01 00:00:00 1970 +0000
@@ -1,98 +0,0 @@
-/*
- * Copyright (c) 2015, Oracle and/or its affiliates. All rights reserved.
- * DO NOT ALTER OR REMOVE COPYRIGHT NOTICES OR THIS FILE HEADER.
- *
- * This code is free software; you can redistribute it and/or modify it
- * under the terms of the GNU General Public License version 2 only, as
- * published by the Free Software Foundation.
- *
- * This code is distributed in the hope that it will be useful, but WITHOUT
- * ANY WARRANTY; without even the implied warranty of MERCHANTABILITY or
- * FITNESS FOR A PARTICULAR PURPOSE.  See the GNU General Public License
- * version 2 for more details (a copy is included in the LICENSE file that
- * accompanied this code).
- *
- * You should have received a copy of the GNU General Public License version
- * 2 along with this work; if not, write to the Free Software Foundation,
- * Inc., 51 Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
- *
- * Please contact Oracle, 500 Oracle Parkway, Redwood Shores, CA 94065 USA
- * or visit www.oracle.com if you need additional information or have any
- * questions.
- *
- */
-
-#include "precompiled.hpp"
-#include "gc/g1/g1Predictions.hpp"
-
-#ifndef PRODUCT
-
-void G1Predictions::test() {
-  double const epsilon = 1e-6;
-  {
-    // Some basic formula tests with confidence = 0.0
-    G1Predictions predictor(0.0);
-    TruncatedSeq s;
-
-    double p0 = predictor.get_new_prediction(&s);
-    assert(p0 < epsilon, "Initial prediction of empty sequence must be 0.0 but is %f", p0);
-
-    s.add(5.0);
-    double p1 = predictor.get_new_prediction(&s);
-    assert(fabs(p1 - 5.0) < epsilon, "Prediction should be 5.0 but is %f", p1);
-    for (int i = 0; i < 40; i++) {
-      s.add(5.0);
-    }
-    double p2 = predictor.get_new_prediction(&s);
-    assert(fabs(p2 - 5.0) < epsilon, "Prediction should be 5.0 but is %f", p1);
-  }
-
-  {
-    // The following tests checks that the initial predictions are based on the
-    // average of the sequence and not on the stddev (which is 0).
-    G1Predictions predictor(0.5);
-    TruncatedSeq s;
-
-    s.add(1.0);
-    double p1 = predictor.get_new_prediction(&s);
-    assert(p1 > 1.0, "First prediction must be larger than average, but avg is %f and prediction %f", s.davg(), p1);
-    s.add(1.0);
-    double p2 = predictor.get_new_prediction(&s);
-    assert(p2 < p1, "First prediction must be larger than second, but they are %f %f", p1, p2);
-    s.add(1.0);
-    double p3 = predictor.get_new_prediction(&s);
-    assert(p3 < p2, "Second prediction must be larger than third, but they are %f %f", p2, p3);
-    s.add(1.0);
-    s.add(1.0); // Five elements are now in the sequence.
-    double p5 = predictor.get_new_prediction(&s);
-    assert(p5 < p3, "Fifth prediction must be smaller than third, but they are %f %f", p3, p5);
-    assert(fabs(p5 - 1.0) < epsilon, "Prediction must be 1.0+epsilon, but is %f", p5);
-  }
-
-  {
-    // The following tests checks that initially prediction based on the average is
-    // used, that gets overridden by the stddev prediction at the end.
-    G1Predictions predictor(0.5);
-    TruncatedSeq s;
-
-    s.add(0.5);
-    double p1 = predictor.get_new_prediction(&s);
-    assert(p1 > 0.5, "First prediction must be larger than average, but avg is %f and prediction %f", s.davg(), p1);
-    s.add(0.2);
-    double p2 = predictor.get_new_prediction(&s);
-    assert(p2 < p1, "First prediction must be larger than second, but they are %f %f", p1, p2);
-    s.add(0.5);
-    double p3 = predictor.get_new_prediction(&s);
-    assert(p3 < p2, "Second prediction must be larger than third, but they are %f %f", p2, p3);
-    s.add(0.2);
-    s.add(2.0);
-    double p5 = predictor.get_new_prediction(&s);
-    assert(p5 > p3, "Fifth prediction must be bigger than third, but they are %f %f", p3, p5);
-  }
-}
-
-void TestPredictions_test() {
-  G1Predictions::test();
-}
-
-#endif