Merge "[TeX] Introduced Telemetry Express ScaledRangeOptions for Histogram metric" am: e347e926c8 am: 2c46f5ecdd
Original change: https://android-review.googlesource.com/c/platform/frameworks/base/+/2454833 Change-Id: Ie6f2ab9c0608bd7ed92d8bc2a0b5a2d5dd7f85c8 Signed-off-by: Automerger Merge Worker <android-build-automerger-merge-worker@system.gserviceaccount.com>
This commit is contained in:
@@ -16,10 +16,14 @@
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package com.android.internal.expresslog;
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package com.android.internal.expresslog;
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import android.annotation.FloatRange;
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import android.annotation.IntRange;
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import android.annotation.NonNull;
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import android.annotation.NonNull;
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import com.android.internal.util.FrameworkStatsLog;
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import com.android.internal.util.FrameworkStatsLog;
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import java.util.Arrays;
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/** Histogram encapsulates StatsD write API calls */
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/** Histogram encapsulates StatsD write API calls */
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public final class Histogram {
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public final class Histogram {
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@@ -28,7 +32,8 @@ public final class Histogram {
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/**
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/**
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* Creates Histogram metric logging wrapper
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* Creates Histogram metric logging wrapper
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* @param metricId to log, logging will be no-op if metricId is not defined in the TeX catalog
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*
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* @param metricId to log, logging will be no-op if metricId is not defined in the TeX catalog
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* @param binOptions to calculate bin index for samples
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* @param binOptions to calculate bin index for samples
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* @hide
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* @hide
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*/
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*/
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@@ -39,6 +44,7 @@ public final class Histogram {
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/**
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/**
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* Logs increment sample count for automatically calculated bin
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* Logs increment sample count for automatically calculated bin
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*
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* @param sample value
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* @param sample value
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* @hide
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* @hide
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*/
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*/
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@@ -52,6 +58,7 @@ public final class Histogram {
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public interface BinOptions {
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public interface BinOptions {
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/**
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/**
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* Returns bins count to be used by a histogram
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* Returns bins count to be used by a histogram
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*
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* @return bins count used to initialize Options, including overflow & underflow bins
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* @return bins count used to initialize Options, including overflow & underflow bins
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* @hide
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* @hide
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*/
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*/
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@@ -61,6 +68,7 @@ public final class Histogram {
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* Returns bin index for the input sample value
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* Returns bin index for the input sample value
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* index == 0 stands for underflow
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* index == 0 stands for underflow
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* index == getBinsCount() - 1 stands for overflow
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* index == getBinsCount() - 1 stands for overflow
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*
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* @return zero based index
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* @return zero based index
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* @hide
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* @hide
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*/
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*/
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@@ -76,17 +84,19 @@ public final class Histogram {
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private final float mBinSize;
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private final float mBinSize;
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/**
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/**
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* Creates otpions for uniform (linear) sized bins
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* Creates options for uniform (linear) sized bins
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* @param binCount amount of histogram bins. 2 bin indexes will be calculated
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*
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* automatically to represent undeflow & overflow bins
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* @param binCount amount of histogram bins. 2 bin indexes will be calculated
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* @param minValue is included in the first bin, values less than minValue
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* automatically to represent underflow & overflow bins
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* go to underflow bin
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* @param minValue is included in the first bin, values less than minValue
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* go to underflow bin
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* @param exclusiveMaxValue is included in the overflow bucket. For accurate
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* @param exclusiveMaxValue is included in the overflow bucket. For accurate
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measure up to kMax, then exclusiveMaxValue
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* measure up to kMax, then exclusiveMaxValue
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* should be set to kMax + 1
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* should be set to kMax + 1
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* @hide
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* @hide
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*/
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*/
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public UniformOptions(int binCount, float minValue, float exclusiveMaxValue) {
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public UniformOptions(@IntRange(from = 1) int binCount, float minValue,
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float exclusiveMaxValue) {
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if (binCount < 1) {
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if (binCount < 1) {
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throw new IllegalArgumentException("Bin count should be positive number");
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throw new IllegalArgumentException("Bin count should be positive number");
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}
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}
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@@ -99,7 +109,7 @@ public final class Histogram {
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mExclusiveMaxValue = exclusiveMaxValue;
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mExclusiveMaxValue = exclusiveMaxValue;
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mBinSize = (mExclusiveMaxValue - minValue) / binCount;
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mBinSize = (mExclusiveMaxValue - minValue) / binCount;
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// Implicitly add 2 for the extra undeflow & overflow bins
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// Implicitly add 2 for the extra underflow & overflow bins
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mBinCount = binCount + 2;
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mBinCount = binCount + 2;
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}
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}
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@@ -120,4 +130,92 @@ public final class Histogram {
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return (int) ((sample - mMinValue) / mBinSize + 1);
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return (int) ((sample - mMinValue) / mBinSize + 1);
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}
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}
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}
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}
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/** Used by Histogram to map data sample to corresponding bin for scaled bins */
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public static final class ScaledRangeOptions implements BinOptions {
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// store minimum value per bin
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final long[] mBins;
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/**
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* Creates options for scaled range bins
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*
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* @param binCount amount of histogram bins. 2 bin indexes will be calculated
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* automatically to represent underflow & overflow bins
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* @param minValue is included in the first bin, values less than minValue
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* go to underflow bin
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* @param firstBinWidth used to represent first bin width and as a reference to calculate
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* width for consecutive bins
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* @param scaleFactor used to calculate width for consecutive bins
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* @hide
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*/
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public ScaledRangeOptions(@IntRange(from = 1) int binCount, int minValue,
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@FloatRange(from = 1.f) float firstBinWidth,
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@FloatRange(from = 1.f) float scaleFactor) {
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if (binCount < 1) {
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throw new IllegalArgumentException("Bin count should be positive number");
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}
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if (firstBinWidth < 1.f) {
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throw new IllegalArgumentException(
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"First bin width invalid (should be 1.f at minimum)");
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}
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if (scaleFactor < 1.f) {
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throw new IllegalArgumentException(
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"Scaled factor invalid (should be 1.f at minimum)");
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}
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// precalculating bins ranges (no need to create a bin for underflow reference value)
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mBins = initBins(binCount + 1, minValue, firstBinWidth, scaleFactor);
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}
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@Override
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public int getBinsCount() {
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return mBins.length + 1;
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}
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@Override
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public int getBinForSample(float sample) {
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if (sample < mBins[0]) {
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// goes to underflow
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return 0;
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} else if (sample >= mBins[mBins.length - 1]) {
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// goes to overflow
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return mBins.length;
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}
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return lower_bound(mBins, (long) sample) + 1;
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}
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// To find lower bound using binary search implementation of Arrays utility class
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private static int lower_bound(long[] array, long sample) {
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int index = Arrays.binarySearch(array, sample);
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// If key is not present in the array
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if (index < 0) {
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// Index specify the position of the key when inserted in the sorted array
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// so the element currently present at this position will be the lower bound
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return Math.abs(index) - 2;
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}
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return index;
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}
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private static long[] initBins(int count, int minValue, float firstBinWidth,
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float scaleFactor) {
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long[] bins = new long[count];
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bins[0] = minValue;
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double lastWidth = firstBinWidth;
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for (int i = 1; i < count; i++) {
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// current bin minValue = previous bin width * scaleFactor
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double currentBinMinValue = bins[i - 1] + lastWidth;
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if (currentBinMinValue > Integer.MAX_VALUE) {
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throw new IllegalArgumentException(
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"Attempted to create a bucket larger than maxint");
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}
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bins[i] = (long) currentBinMinValue;
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lastWidth *= scaleFactor;
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}
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return bins;
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}
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}
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}
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}
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@@ -0,0 +1,167 @@
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/*
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* Copyright (C) 2023 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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package com.android.internal.expresslog;
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import static org.junit.Assert.assertEquals;
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import static org.junit.Assert.assertTrue;
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import androidx.test.filters.SmallTest;
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import org.junit.Test;
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import org.junit.runner.RunWith;
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import org.junit.runners.JUnit4;
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@RunWith(JUnit4.class)
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@SmallTest
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public class ScaledRangeOptionsTest {
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private static final String TAG = ScaledRangeOptionsTest.class.getSimpleName();
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@Test
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public void testGetBinsCount() {
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Histogram.ScaledRangeOptions options1 = new Histogram.ScaledRangeOptions(1, 100, 100, 2);
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assertEquals(3, options1.getBinsCount());
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Histogram.ScaledRangeOptions options10 = new Histogram.ScaledRangeOptions(10, 100, 100, 2);
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assertEquals(12, options10.getBinsCount());
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}
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@Test(expected = IllegalArgumentException.class)
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public void testConstructZeroBinsCount() {
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new Histogram.ScaledRangeOptions(0, 100, 100, 2);
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}
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@Test(expected = IllegalArgumentException.class)
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public void testConstructNegativeBinsCount() {
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new Histogram.ScaledRangeOptions(-1, 100, 100, 2);
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}
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@Test(expected = IllegalArgumentException.class)
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public void testConstructNegativeFirstBinWidth() {
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new Histogram.ScaledRangeOptions(10, 100, -100, 2);
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}
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@Test(expected = IllegalArgumentException.class)
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public void testConstructTooSmallFirstBinWidth() {
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new Histogram.ScaledRangeOptions(10, 100, 0.5f, 2);
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}
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@Test(expected = IllegalArgumentException.class)
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public void testConstructNegativeScaleFactor() {
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new Histogram.ScaledRangeOptions(10, 100, 100, -2);
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}
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@Test(expected = IllegalArgumentException.class)
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public void testConstructTooSmallScaleFactor() {
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new Histogram.ScaledRangeOptions(10, 100, 100, 0.5f);
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}
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@Test(expected = IllegalArgumentException.class)
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public void testConstructTooBigScaleFactor() {
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new Histogram.ScaledRangeOptions(10, 100, 100, 500.f);
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}
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@Test(expected = IllegalArgumentException.class)
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public void testConstructTooBigBinRange() {
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new Histogram.ScaledRangeOptions(100, 100, 100, 10.f);
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}
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@Test
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public void testBinIndexForRangeEqual1() {
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Histogram.ScaledRangeOptions options = new Histogram.ScaledRangeOptions(10, 1, 1, 1);
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assertEquals(12, options.getBinsCount());
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assertEquals(11, options.getBinForSample(11));
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for (int i = 0, bins = options.getBinsCount(); i < bins; i++) {
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assertEquals(i, options.getBinForSample(i));
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}
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}
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@Test
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public void testBinIndexForRangeEqual2() {
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// this should produce bin otpions similar to linear histogram with bin width 2
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Histogram.ScaledRangeOptions options = new Histogram.ScaledRangeOptions(10, 1, 2, 1);
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assertEquals(12, options.getBinsCount());
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for (int i = 0, bins = options.getBinsCount(); i < bins; i++) {
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assertEquals(i, options.getBinForSample(i * 2));
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assertEquals(i, options.getBinForSample(i * 2 - 1));
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}
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}
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@Test
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public void testBinIndexForRangeEqual5() {
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Histogram.ScaledRangeOptions options = new Histogram.ScaledRangeOptions(2, 0, 5, 1);
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assertEquals(4, options.getBinsCount());
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for (int i = 0; i < 2; i++) {
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for (int sample = 0; sample < 5; sample++) {
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assertEquals(i + 1, options.getBinForSample(i * 5 + sample));
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}
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}
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}
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@Test
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public void testBinIndexForRangeEqual10() {
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Histogram.ScaledRangeOptions options = new Histogram.ScaledRangeOptions(10, 1, 10, 1);
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assertEquals(0, options.getBinForSample(0));
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assertEquals(options.getBinsCount() - 2, options.getBinForSample(100));
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assertEquals(options.getBinsCount() - 1, options.getBinForSample(101));
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final float binSize = (101 - 1) / 10f;
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for (int i = 1, bins = options.getBinsCount() - 1; i < bins; i++) {
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assertEquals(i, options.getBinForSample(i * binSize));
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}
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}
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@Test
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public void testBinIndexForScaleFactor2() {
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final int binsCount = 10;
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final int minValue = 10;
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final int firstBinWidth = 5;
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final int scaledFactor = 2;
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Histogram.ScaledRangeOptions options = new Histogram.ScaledRangeOptions(
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binsCount, minValue, firstBinWidth, scaledFactor);
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assertEquals(binsCount + 2, options.getBinsCount());
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long[] binCounts = new long[10];
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// precalculate max valid value - start value for the overflow bin
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int lastBinStartValue = minValue; //firstBinMin value
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int lastBinWidth = firstBinWidth;
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for (int binIdx = 2; binIdx <= binsCount + 1; binIdx++) {
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lastBinStartValue = lastBinStartValue + lastBinWidth;
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lastBinWidth *= scaledFactor;
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}
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// underflow bin
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for (int i = 1; i < minValue; i++) {
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assertEquals(0, options.getBinForSample(i));
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}
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for (int i = 10; i < lastBinStartValue; i++) {
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assertTrue(options.getBinForSample(i) > 0);
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assertTrue(options.getBinForSample(i) <= binsCount);
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binCounts[options.getBinForSample(i) - 1]++;
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}
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// overflow bin
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assertEquals(binsCount + 1, options.getBinForSample(lastBinStartValue));
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for (int i = 1; i < binsCount; i++) {
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assertEquals(binCounts[i], binCounts[i - 1] * 2L);
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||||||
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}
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||||||
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}
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||||||
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}
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@@ -24,11 +24,11 @@ import org.junit.runner.RunWith;
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import org.junit.runners.JUnit4;
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import org.junit.runners.JUnit4;
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|
|
||||||
@RunWith(JUnit4.class)
|
@RunWith(JUnit4.class)
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||||||
|
@SmallTest
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||||||
public class UniformOptionsTest {
|
public class UniformOptionsTest {
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||||||
private static final String TAG = UniformOptionsTest.class.getSimpleName();
|
private static final String TAG = UniformOptionsTest.class.getSimpleName();
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||||||
|
|
||||||
@Test
|
@Test
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||||||
@SmallTest
|
|
||||||
public void testGetBinsCount() {
|
public void testGetBinsCount() {
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||||||
Histogram.UniformOptions options1 = new Histogram.UniformOptions(1, 100, 1000);
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Histogram.UniformOptions options1 = new Histogram.UniformOptions(1, 100, 1000);
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||||||
assertEquals(3, options1.getBinsCount());
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assertEquals(3, options1.getBinsCount());
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||||||
@@ -38,25 +38,21 @@ public class UniformOptionsTest {
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|||||||
}
|
}
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||||||
|
|
||||||
@Test(expected = IllegalArgumentException.class)
|
@Test(expected = IllegalArgumentException.class)
|
||||||
@SmallTest
|
|
||||||
public void testConstructZeroBinsCount() {
|
public void testConstructZeroBinsCount() {
|
||||||
new Histogram.UniformOptions(0, 100, 1000);
|
new Histogram.UniformOptions(0, 100, 1000);
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test(expected = IllegalArgumentException.class)
|
@Test(expected = IllegalArgumentException.class)
|
||||||
@SmallTest
|
|
||||||
public void testConstructNegativeBinsCount() {
|
public void testConstructNegativeBinsCount() {
|
||||||
new Histogram.UniformOptions(-1, 100, 1000);
|
new Histogram.UniformOptions(-1, 100, 1000);
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test(expected = IllegalArgumentException.class)
|
@Test(expected = IllegalArgumentException.class)
|
||||||
@SmallTest
|
|
||||||
public void testConstructMaxValueLessThanMinValue() {
|
public void testConstructMaxValueLessThanMinValue() {
|
||||||
new Histogram.UniformOptions(10, 1000, 100);
|
new Histogram.UniformOptions(10, 1000, 100);
|
||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
@SmallTest
|
|
||||||
public void testBinIndexForRangeEqual1() {
|
public void testBinIndexForRangeEqual1() {
|
||||||
Histogram.UniformOptions options = new Histogram.UniformOptions(10, 1, 11);
|
Histogram.UniformOptions options = new Histogram.UniformOptions(10, 1, 11);
|
||||||
for (int i = 0, bins = options.getBinsCount(); i < bins; i++) {
|
for (int i = 0, bins = options.getBinsCount(); i < bins; i++) {
|
||||||
@@ -65,7 +61,6 @@ public class UniformOptionsTest {
|
|||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
@SmallTest
|
|
||||||
public void testBinIndexForRangeEqual2() {
|
public void testBinIndexForRangeEqual2() {
|
||||||
Histogram.UniformOptions options = new Histogram.UniformOptions(10, 1, 21);
|
Histogram.UniformOptions options = new Histogram.UniformOptions(10, 1, 21);
|
||||||
for (int i = 0, bins = options.getBinsCount(); i < bins; i++) {
|
for (int i = 0, bins = options.getBinsCount(); i < bins; i++) {
|
||||||
@@ -75,7 +70,6 @@ public class UniformOptionsTest {
|
|||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
@SmallTest
|
|
||||||
public void testBinIndexForRangeEqual5() {
|
public void testBinIndexForRangeEqual5() {
|
||||||
Histogram.UniformOptions options = new Histogram.UniformOptions(2, 0, 10);
|
Histogram.UniformOptions options = new Histogram.UniformOptions(2, 0, 10);
|
||||||
assertEquals(4, options.getBinsCount());
|
assertEquals(4, options.getBinsCount());
|
||||||
@@ -87,7 +81,6 @@ public class UniformOptionsTest {
|
|||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
@SmallTest
|
|
||||||
public void testBinIndexForRangeEqual10() {
|
public void testBinIndexForRangeEqual10() {
|
||||||
Histogram.UniformOptions options = new Histogram.UniformOptions(10, 1, 101);
|
Histogram.UniformOptions options = new Histogram.UniformOptions(10, 1, 101);
|
||||||
assertEquals(0, options.getBinForSample(0));
|
assertEquals(0, options.getBinForSample(0));
|
||||||
@@ -101,7 +94,6 @@ public class UniformOptionsTest {
|
|||||||
}
|
}
|
||||||
|
|
||||||
@Test
|
@Test
|
||||||
@SmallTest
|
|
||||||
public void testBinIndexForRangeEqual90() {
|
public void testBinIndexForRangeEqual90() {
|
||||||
final int binCount = 10;
|
final int binCount = 10;
|
||||||
final int minValue = 100;
|
final int minValue = 100;
|
||||||
|
|||||||
Reference in New Issue
Block a user