1 files changed, 0 insertions, 187 deletions
diff --git a/src/main/java/com/android/vts/util/StatSummary.java b/src/main/java/com/android/vts/util/StatSummary.java
deleted file mode 100644
index 3b4713c..0000000
--- a/src/main/java/com/android/vts/util/StatSummary.java
+++ /dev/null
@@ -1,187 +0,0 @@
-/*
- * Copyright (c) 2016 Google Inc. All Rights Reserved.
- *
- * Licensed under the Apache License, Version 2.0 (the "License"); you
- * may not use this file except in compliance with the License. You may
- * obtain a copy of the License at
- *
- *     http://www.apache.org/licenses/LICENSE-2.0
- *
- * Unless required by applicable law or agreed to in writing, software
- * distributed under the License is distributed on an "AS IS" BASIS,
- * WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or
- * implied. See the License for the specific language governing
- * permissions and limitations under the License.
- */
-
-package com.android.vts.util;
-
-import com.android.vts.proto.VtsReportMessage.VtsProfilingRegressionMode;
-
-/** Helper object for storing statistics. */
-public class StatSummary {
-    private String label;
-    private double min;
-    private double max;
-    private double mean;
-    private double sumSq;
-    private int n;
-    private VtsProfilingRegressionMode regression_mode;
-
-    /**
-     * Create a statistical summary.
-     *
-     * <p>Sets the label, min, max, mean, sum of squared error, n, and mode as provided.
-     *
-     * @param label The (String) label to assign to the summary.
-     * @param min The minimum observed value.
-     * @param max The maximum observed value.
-     * @param mean The average observed value.
-     * @param sumSq The sum of squared error.
-     * @param n The number of values observed.
-     * @param mode The VtsProfilingRegressionMode to use when analyzing performance.
-     */
-    public StatSummary(
-            String label,
-            double min,
-            double max,
-            double mean,
-            double sumSq,
-            int n,
-            VtsProfilingRegressionMode mode) {
-        this.label = label;
-        this.min = min;
-        this.max = max;
-        this.mean = mean;
-        this.sumSq = sumSq;
-        this.n = n;
-        this.regression_mode = mode;
-    }
-
-    /**
-     * Initializes the statistical summary.
-     *
-     * <p>Sets the label as provided. Initializes the mean, variance, and n (number of values seen)
-     * to 0.
-     *
-     * @param label The (String) label to assign to the summary.
-     * @param mode The VtsProfilingRegressionMode to use when analyzing performance.
-     */
-    public StatSummary(String label, VtsProfilingRegressionMode mode) {
-        this(label, Double.MAX_VALUE, Double.MIN_VALUE, 0, 0, 0, mode);
-    }
-
-    /**
-     * Update the mean and variance using Welford's single-pass method.
-     *
-     * @param value The observed value in the stream.
-     */
-    public void updateStats(double value) {
-        n += 1;
-        double oldMean = mean;
-        mean = oldMean + (value - oldMean) / n;
-        sumSq = sumSq + (value - mean) * (value - oldMean);
-        if (value < min) min = value;
-        if (value > max) max = value;
-    }
-
-    /**
-     * Combine the mean and variance with another StatSummary.
-     *
-     * @param stat The StatSummary to combine with.
-     */
-    public void merge(StatSummary stat) {
-        double delta = stat.getMean() - mean;
-        int newN = n + stat.getCount();
-        sumSq = sumSq + stat.getSumSq() + delta / newN * delta * n * stat.getCount();
-        double recipN = 1.0 / newN;
-        mean = n * recipN * mean + stat.getCount() * recipN * stat.getMean();
-        n = newN;
-    }
-
-    /**
-     * Gets the best case of the stream.
-     *
-     * @return The min or max.
-     */
-    public double getBestCase() {
-        switch (regression_mode) {
-            case VTS_REGRESSION_MODE_DECREASING:
-                return getMax();
-            default:
-                return getMin();
-        }
-    }
-
-    /**
-     * Gets the calculated min of the stream.
-     *
-     * @return The min.
-     */
-    public double getMin() {
-        return min;
-    }
-
-    /**
-     * Gets the calculated max of the stream.
-     *
-     * @return The max.
-     */
-    public double getMax() {
-        return max;
-    }
-
-    /**
-     * Gets the calculated mean of the stream.
-     *
-     * @return The mean.
-     */
-    public double getMean() {
-        return mean;
-    }
-
-    /**
-     * Gets the calculated sum of squared error of the stream.
-     *
-     * @return The sum of squared error.
-     */
-    public double getSumSq() {
-        return sumSq;
-    }
-
-    /**
-     * Gets the calculated standard deviation of the stream.
-     *
-     * @return The standard deviation.
-     */
-    public double getStd() {
-        return Math.sqrt(sumSq / (n - 1));
-    }
-
-    /**
-     * Gets the number of elements that have passed through the stream.
-     *
-     * @return Number of elements.
-     */
-    public int getCount() {
-        return n;
-    }
-
-    /**
-     * Gets the label for the summarized statistics.
-     *
-     * @return The (string) label.
-     */
-    public String getLabel() {
-        return label;
-    }
-
-    /**
-     * Gets the regression mode.
-     *
-     * @return The VtsProfilingRegressionMode value.
-     */
-    public VtsProfilingRegressionMode getRegressionMode() {
-        return regression_mode;
-    }
-}