[TeX] Introduced Telemetry Express ScaledRangeOptions for Histogram metric

Bug: 269146185
Test: atest expresslog_test
Change-Id: Ie74af402a07d7f605b06f4704ad8dc40de315311
diff --git a/core/java/com/android/internal/expresslog/Histogram.java b/core/java/com/android/internal/expresslog/Histogram.java
index 2f3b662..65fbb03 100644
--- a/core/java/com/android/internal/expresslog/Histogram.java
+++ b/core/java/com/android/internal/expresslog/Histogram.java
@@ -16,10 +16,14 @@
 
 package com.android.internal.expresslog;
 
+import android.annotation.FloatRange;
+import android.annotation.IntRange;
 import android.annotation.NonNull;
 
 import com.android.internal.util.FrameworkStatsLog;
 
+import java.util.Arrays;
+
 /** Histogram encapsulates StatsD write API calls */
 public final class Histogram {
 
@@ -28,7 +32,8 @@
 
     /**
      * Creates Histogram metric logging wrapper
-     * @param metricId to log, logging will be no-op if metricId is not defined in the TeX catalog
+     *
+     * @param metricId   to log, logging will be no-op if metricId is not defined in the TeX catalog
      * @param binOptions to calculate bin index for samples
      * @hide
      */
@@ -39,6 +44,7 @@
 
     /**
      * Logs increment sample count for automatically calculated bin
+     *
      * @param sample value
      * @hide
      */
@@ -52,6 +58,7 @@
     public interface BinOptions {
         /**
          * Returns bins count to be used by a histogram
+         *
          * @return bins count used to initialize Options, including overflow & underflow bins
          * @hide
          */
@@ -61,6 +68,7 @@
          * Returns bin index for the input sample value
          * index == 0 stands for underflow
          * index == getBinsCount() - 1 stands for overflow
+         *
          * @return zero based index
          * @hide
          */
@@ -76,17 +84,19 @@
         private final float mBinSize;
 
         /**
-         * Creates otpions for uniform (linear) sized bins
-         * @param binCount amount of histogram bins. 2 bin indexes will be calculated
-         *                 automatically to represent undeflow & overflow bins
-         * @param minValue is included in the first bin, values less than minValue
-         *                 go to underflow bin
+         * Creates options for uniform (linear) sized bins
+         *
+         * @param binCount          amount of histogram bins. 2 bin indexes will be calculated
+         *                          automatically to represent underflow & overflow bins
+         * @param minValue          is included in the first bin, values less than minValue
+         *                          go to underflow bin
          * @param exclusiveMaxValue is included in the overflow bucket. For accurate
-                                    measure up to kMax, then exclusiveMaxValue
+         *                          measure up to kMax, then exclusiveMaxValue
          *                          should be set to kMax + 1
          * @hide
          */
-        public UniformOptions(int binCount, float minValue, float exclusiveMaxValue) {
+        public UniformOptions(@IntRange(from = 1) int binCount, float minValue,
+                float exclusiveMaxValue) {
             if (binCount < 1) {
                 throw new IllegalArgumentException("Bin count should be positive number");
             }
@@ -99,7 +109,7 @@
             mExclusiveMaxValue = exclusiveMaxValue;
             mBinSize = (mExclusiveMaxValue - minValue) / binCount;
 
-            // Implicitly add 2 for the extra undeflow & overflow bins
+            // Implicitly add 2 for the extra underflow & overflow bins
             mBinCount = binCount + 2;
         }
 
@@ -120,4 +130,92 @@
             return (int) ((sample - mMinValue) / mBinSize + 1);
         }
     }
+
+    /** Used by Histogram to map data sample to corresponding bin for scaled bins */
+    public static final class ScaledRangeOptions implements BinOptions {
+        // store minimum value per bin
+        final long[] mBins;
+
+        /**
+         * Creates options for scaled range bins
+         *
+         * @param binCount      amount of histogram bins. 2 bin indexes will be calculated
+         *                      automatically to represent underflow & overflow bins
+         * @param minValue      is included in the first bin, values less than minValue
+         *                      go to underflow bin
+         * @param firstBinWidth used to represent first bin width and as a reference to calculate
+         *                      width for consecutive bins
+         * @param scaleFactor   used to calculate width for consecutive bins
+         * @hide
+         */
+        public ScaledRangeOptions(@IntRange(from = 1) int binCount, int minValue,
+                @FloatRange(from = 1.f) float firstBinWidth,
+                @FloatRange(from = 1.f) float scaleFactor) {
+            if (binCount < 1) {
+                throw new IllegalArgumentException("Bin count should be positive number");
+            }
+
+            if (firstBinWidth < 1.f) {
+                throw new IllegalArgumentException(
+                        "First bin width invalid (should be 1.f at minimum)");
+            }
+
+            if (scaleFactor < 1.f) {
+                throw new IllegalArgumentException(
+                        "Scaled factor invalid (should be 1.f at minimum)");
+            }
+
+            // precalculating bins ranges (no need to create a bin for underflow reference value)
+            mBins = initBins(binCount + 1, minValue, firstBinWidth, scaleFactor);
+        }
+
+        @Override
+        public int getBinsCount() {
+            return mBins.length + 1;
+        }
+
+        @Override
+        public int getBinForSample(float sample) {
+            if (sample < mBins[0]) {
+                // goes to underflow
+                return 0;
+            } else if (sample >= mBins[mBins.length - 1]) {
+                // goes to overflow
+                return mBins.length;
+            }
+
+            return lower_bound(mBins, (long) sample) + 1;
+        }
+
+        // To find lower bound using binary search implementation of Arrays utility class
+        private static int lower_bound(long[] array, long sample) {
+            int index = Arrays.binarySearch(array, sample);
+            // If key is not present in the array
+            if (index < 0) {
+                // Index specify the position of the key when inserted in the sorted array
+                // so the element currently present at this position will be the lower bound
+                return Math.abs(index) - 2;
+            }
+            return index;
+        }
+
+        private static long[] initBins(int count, int minValue, float firstBinWidth,
+                float scaleFactor) {
+            long[] bins = new long[count];
+            bins[0] = minValue;
+            double lastWidth = firstBinWidth;
+            for (int i = 1; i < count; i++) {
+                // current bin minValue = previous bin width * scaleFactor
+                double currentBinMinValue = bins[i - 1] + lastWidth;
+                if (currentBinMinValue > Integer.MAX_VALUE) {
+                    throw new IllegalArgumentException(
+                        "Attempted to create a bucket larger than maxint");
+                }
+
+                bins[i] = (long) currentBinMinValue;
+                lastWidth *= scaleFactor;
+            }
+            return bins;
+        }
+    }
 }
diff --git a/core/tests/expresslog/src/com/android/internal/expresslog/ScaledRangeOptionsTest.java b/core/tests/expresslog/src/com/android/internal/expresslog/ScaledRangeOptionsTest.java
new file mode 100644
index 0000000..ee62d75
--- /dev/null
+++ b/core/tests/expresslog/src/com/android/internal/expresslog/ScaledRangeOptionsTest.java
@@ -0,0 +1,167 @@
+/*
+ * Copyright (C) 2023 The Android Open Source Project
+ *
+ * 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.internal.expresslog;
+
+import static org.junit.Assert.assertEquals;
+import static org.junit.Assert.assertTrue;
+
+import androidx.test.filters.SmallTest;
+
+import org.junit.Test;
+import org.junit.runner.RunWith;
+import org.junit.runners.JUnit4;
+
+@RunWith(JUnit4.class)
+@SmallTest
+public class ScaledRangeOptionsTest {
+    private static final String TAG = ScaledRangeOptionsTest.class.getSimpleName();
+
+    @Test
+    public void testGetBinsCount() {
+        Histogram.ScaledRangeOptions options1 = new Histogram.ScaledRangeOptions(1, 100, 100, 2);
+        assertEquals(3, options1.getBinsCount());
+
+        Histogram.ScaledRangeOptions options10 = new Histogram.ScaledRangeOptions(10, 100, 100, 2);
+        assertEquals(12, options10.getBinsCount());
+    }
+
+    @Test(expected = IllegalArgumentException.class)
+    public void testConstructZeroBinsCount() {
+        new Histogram.ScaledRangeOptions(0, 100, 100, 2);
+    }
+
+    @Test(expected = IllegalArgumentException.class)
+    public void testConstructNegativeBinsCount() {
+        new Histogram.ScaledRangeOptions(-1, 100, 100, 2);
+    }
+
+    @Test(expected = IllegalArgumentException.class)
+    public void testConstructNegativeFirstBinWidth() {
+        new Histogram.ScaledRangeOptions(10, 100, -100, 2);
+    }
+
+    @Test(expected = IllegalArgumentException.class)
+    public void testConstructTooSmallFirstBinWidth() {
+        new Histogram.ScaledRangeOptions(10, 100, 0.5f, 2);
+    }
+
+    @Test(expected = IllegalArgumentException.class)
+    public void testConstructNegativeScaleFactor() {
+        new Histogram.ScaledRangeOptions(10, 100, 100, -2);
+    }
+
+    @Test(expected = IllegalArgumentException.class)
+    public void testConstructTooSmallScaleFactor() {
+        new Histogram.ScaledRangeOptions(10, 100, 100, 0.5f);
+    }
+
+    @Test(expected = IllegalArgumentException.class)
+    public void testConstructTooBigScaleFactor() {
+        new Histogram.ScaledRangeOptions(10, 100, 100, 500.f);
+    }
+
+    @Test(expected = IllegalArgumentException.class)
+    public void testConstructTooBigBinRange() {
+        new Histogram.ScaledRangeOptions(100, 100, 100, 10.f);
+    }
+
+    @Test
+    public void testBinIndexForRangeEqual1() {
+        Histogram.ScaledRangeOptions options = new Histogram.ScaledRangeOptions(10, 1, 1, 1);
+        assertEquals(12, options.getBinsCount());
+
+        assertEquals(11, options.getBinForSample(11));
+
+        for (int i = 0, bins = options.getBinsCount(); i < bins; i++) {
+            assertEquals(i, options.getBinForSample(i));
+        }
+    }
+
+    @Test
+    public void testBinIndexForRangeEqual2() {
+        // this should produce bin otpions similar to linear histogram with bin width 2
+        Histogram.ScaledRangeOptions options = new Histogram.ScaledRangeOptions(10, 1, 2, 1);
+        assertEquals(12, options.getBinsCount());
+
+        for (int i = 0, bins = options.getBinsCount(); i < bins; i++) {
+            assertEquals(i, options.getBinForSample(i * 2));
+            assertEquals(i, options.getBinForSample(i * 2 - 1));
+        }
+    }
+
+    @Test
+    public void testBinIndexForRangeEqual5() {
+        Histogram.ScaledRangeOptions options = new Histogram.ScaledRangeOptions(2, 0, 5, 1);
+        assertEquals(4, options.getBinsCount());
+        for (int i = 0; i < 2; i++) {
+            for (int sample = 0; sample < 5; sample++) {
+                assertEquals(i + 1, options.getBinForSample(i * 5 + sample));
+            }
+        }
+    }
+
+    @Test
+    public void testBinIndexForRangeEqual10() {
+        Histogram.ScaledRangeOptions options = new Histogram.ScaledRangeOptions(10, 1, 10, 1);
+        assertEquals(0, options.getBinForSample(0));
+        assertEquals(options.getBinsCount() - 2, options.getBinForSample(100));
+        assertEquals(options.getBinsCount() - 1, options.getBinForSample(101));
+
+        final float binSize = (101 - 1) / 10f;
+        for (int i = 1, bins = options.getBinsCount() - 1; i < bins; i++) {
+            assertEquals(i, options.getBinForSample(i * binSize));
+        }
+    }
+
+    @Test
+    public void testBinIndexForScaleFactor2() {
+        final int binsCount = 10;
+        final int minValue = 10;
+        final int firstBinWidth = 5;
+        final int scaledFactor = 2;
+
+        Histogram.ScaledRangeOptions options = new Histogram.ScaledRangeOptions(
+                binsCount, minValue, firstBinWidth, scaledFactor);
+        assertEquals(binsCount + 2, options.getBinsCount());
+        long[] binCounts = new long[10];
+
+        // precalculate max valid value - start value for the overflow bin
+        int lastBinStartValue = minValue; //firstBinMin value
+        int lastBinWidth = firstBinWidth;
+        for (int binIdx = 2; binIdx <= binsCount + 1; binIdx++) {
+            lastBinStartValue = lastBinStartValue + lastBinWidth;
+            lastBinWidth *= scaledFactor;
+        }
+
+        // underflow bin
+        for (int i = 1; i < minValue; i++) {
+            assertEquals(0, options.getBinForSample(i));
+        }
+
+        for (int i = 10; i < lastBinStartValue; i++) {
+            assertTrue(options.getBinForSample(i) > 0);
+            assertTrue(options.getBinForSample(i) <= binsCount);
+            binCounts[options.getBinForSample(i) - 1]++;
+        }
+
+        // overflow bin
+        assertEquals(binsCount + 1, options.getBinForSample(lastBinStartValue));
+
+        for (int i = 1; i < binsCount; i++) {
+            assertEquals(binCounts[i], binCounts[i - 1] * 2L);
+        }
+    }
+}
diff --git a/core/tests/expresslog/src/com/android/internal/expresslog/UniformOptionsTest.java b/core/tests/expresslog/src/com/android/internal/expresslog/UniformOptionsTest.java
index 9fa6d06..037dbb3 100644
--- a/core/tests/expresslog/src/com/android/internal/expresslog/UniformOptionsTest.java
+++ b/core/tests/expresslog/src/com/android/internal/expresslog/UniformOptionsTest.java
@@ -24,11 +24,11 @@
 import org.junit.runners.JUnit4;
 
 @RunWith(JUnit4.class)
+@SmallTest
 public class UniformOptionsTest {
     private static final String TAG = UniformOptionsTest.class.getSimpleName();
 
     @Test
-    @SmallTest
     public void testGetBinsCount() {
         Histogram.UniformOptions options1 = new Histogram.UniformOptions(1, 100, 1000);
         assertEquals(3, options1.getBinsCount());
@@ -38,25 +38,21 @@
     }
 
     @Test(expected = IllegalArgumentException.class)
-    @SmallTest
     public void testConstructZeroBinsCount() {
         new Histogram.UniformOptions(0, 100, 1000);
     }
 
     @Test(expected = IllegalArgumentException.class)
-    @SmallTest
     public void testConstructNegativeBinsCount() {
         new Histogram.UniformOptions(-1, 100, 1000);
     }
 
     @Test(expected = IllegalArgumentException.class)
-    @SmallTest
     public void testConstructMaxValueLessThanMinValue() {
         new Histogram.UniformOptions(10, 1000, 100);
     }
 
     @Test
-    @SmallTest
     public void testBinIndexForRangeEqual1() {
         Histogram.UniformOptions options = new Histogram.UniformOptions(10, 1, 11);
         for (int i = 0, bins = options.getBinsCount(); i < bins; i++) {
@@ -65,7 +61,6 @@
     }
 
     @Test
-    @SmallTest
     public void testBinIndexForRangeEqual2() {
         Histogram.UniformOptions options = new Histogram.UniformOptions(10, 1, 21);
         for (int i = 0, bins = options.getBinsCount(); i < bins; i++) {
@@ -75,7 +70,6 @@
     }
 
     @Test
-    @SmallTest
     public void testBinIndexForRangeEqual5() {
         Histogram.UniformOptions options = new Histogram.UniformOptions(2, 0, 10);
         assertEquals(4, options.getBinsCount());
@@ -87,7 +81,6 @@
     }
 
     @Test
-    @SmallTest
     public void testBinIndexForRangeEqual10() {
         Histogram.UniformOptions options = new Histogram.UniformOptions(10, 1, 101);
         assertEquals(0, options.getBinForSample(0));
@@ -101,7 +94,6 @@
     }
 
     @Test
-    @SmallTest
     public void testBinIndexForRangeEqual90() {
         final int binCount = 10;
         final int minValue = 100;