| /* |
| * Copyright (C) 2017 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. |
| */ |
| |
| #define LOG_TAG "VelocityTracker_test" |
| |
| #include <array> |
| #include <chrono> |
| #include <math.h> |
| |
| #include <android-base/stringprintf.h> |
| #include <gtest/gtest.h> |
| #include <input/VelocityTracker.h> |
| |
| using namespace std::chrono_literals; |
| using android::base::StringPrintf; |
| |
| namespace android { |
| |
| constexpr int32_t DISPLAY_ID = ADISPLAY_ID_DEFAULT; // default display id |
| |
| constexpr int32_t DEFAULT_POINTER_ID = 0; // pointer ID used for manually defined tests |
| |
| // velocity must be in the range (1-tol)*EV <= velocity <= (1+tol)*EV |
| // here EV = expected value, tol = VELOCITY_TOLERANCE |
| constexpr float VELOCITY_TOLERANCE = 0.2; |
| |
| // estimate coefficients must be within 0.001% of the target value |
| constexpr float COEFFICIENT_TOLERANCE = 0.00001; |
| |
| // --- VelocityTrackerTest --- |
| class VelocityTrackerTest : public testing::Test { }; |
| |
| /* |
| * Similar to EXPECT_NEAR, but ensures that the difference between the two float values |
| * is at most a certain fraction of the target value. |
| * If fraction is zero, require exact match. |
| */ |
| static void EXPECT_NEAR_BY_FRACTION(float actual, float target, float fraction) { |
| float tolerance = fabsf(target * fraction); |
| |
| if (target == 0 && fraction != 0) { |
| // If target is zero, this would force actual == target, which is too harsh. |
| // Relax this requirement a little. The value is determined empirically from the |
| // coefficients computed by the quadratic least squares algorithms. |
| tolerance = 1E-6; |
| } |
| EXPECT_NEAR(actual, target, tolerance); |
| } |
| |
| static void checkVelocity(float Vactual, float Vtarget) { |
| EXPECT_NEAR_BY_FRACTION(Vactual, Vtarget, VELOCITY_TOLERANCE); |
| } |
| |
| static void checkCoefficient(float actual, float target) { |
| EXPECT_NEAR_BY_FRACTION(actual, target, COEFFICIENT_TOLERANCE); |
| } |
| |
| struct Position { |
| float x; |
| float y; |
| |
| /** |
| * If both values are NAN, then this is considered to be an empty entry (no pointer data). |
| * If only one of the values is NAN, this is still a valid entry, |
| * because we may only care about a single axis. |
| */ |
| bool isValid() const { |
| return !(isnan(x) && isnan(y)); |
| } |
| }; |
| |
| struct MotionEventEntry { |
| std::chrono::nanoseconds eventTime; |
| std::vector<Position> positions; |
| }; |
| |
| static BitSet32 getValidPointers(const std::vector<Position>& positions) { |
| BitSet32 pointers; |
| for (size_t i = 0; i < positions.size(); i++) { |
| if (positions[i].isValid()) { |
| pointers.markBit(i); |
| } |
| } |
| return pointers; |
| } |
| |
| static uint32_t getChangingPointerId(BitSet32 pointers, BitSet32 otherPointers) { |
| BitSet32 difference(pointers.value ^ otherPointers.value); |
| uint32_t pointerId = difference.clearFirstMarkedBit(); |
| EXPECT_EQ(0U, difference.value) << "Only 1 pointer can enter or leave at a time"; |
| return pointerId; |
| } |
| |
| static int32_t resolveAction(const std::vector<Position>& lastPositions, |
| const std::vector<Position>& currentPositions, |
| const std::vector<Position>& nextPositions) { |
| BitSet32 pointers = getValidPointers(currentPositions); |
| const uint32_t pointerCount = pointers.count(); |
| |
| BitSet32 lastPointers = getValidPointers(lastPositions); |
| const uint32_t lastPointerCount = lastPointers.count(); |
| if (lastPointerCount < pointerCount) { |
| // A new pointer is down |
| uint32_t pointerId = getChangingPointerId(pointers, lastPointers); |
| return AMOTION_EVENT_ACTION_POINTER_DOWN | |
| (pointerId << AMOTION_EVENT_ACTION_POINTER_INDEX_SHIFT); |
| } |
| |
| BitSet32 nextPointers = getValidPointers(nextPositions); |
| const uint32_t nextPointerCount = nextPointers.count(); |
| if (pointerCount > nextPointerCount) { |
| // An existing pointer is leaving |
| uint32_t pointerId = getChangingPointerId(pointers, nextPointers); |
| return AMOTION_EVENT_ACTION_POINTER_UP | |
| (pointerId << AMOTION_EVENT_ACTION_POINTER_INDEX_SHIFT); |
| } |
| |
| return AMOTION_EVENT_ACTION_MOVE; |
| } |
| |
| static std::vector<MotionEvent> createMotionEventStream( |
| const std::vector<MotionEventEntry>& motions) { |
| if (motions.empty()) { |
| ADD_FAILURE() << "Need at least 1 sample to create a MotionEvent. Received empty vector."; |
| } |
| |
| std::vector<MotionEvent> events; |
| for (size_t i = 0; i < motions.size(); i++) { |
| const MotionEventEntry& entry = motions[i]; |
| BitSet32 pointers = getValidPointers(entry.positions); |
| const uint32_t pointerCount = pointers.count(); |
| |
| int32_t action; |
| if (i == 0) { |
| action = AMOTION_EVENT_ACTION_DOWN; |
| EXPECT_EQ(1U, pointerCount) << "First event should only have 1 pointer"; |
| } else if (i == motions.size() - 1) { |
| EXPECT_EQ(1U, pointerCount) << "Last event should only have 1 pointer"; |
| action = AMOTION_EVENT_ACTION_UP; |
| } else { |
| const MotionEventEntry& previousEntry = motions[i-1]; |
| const MotionEventEntry& nextEntry = motions[i+1]; |
| action = resolveAction(previousEntry.positions, entry.positions, nextEntry.positions); |
| } |
| |
| PointerCoords coords[pointerCount]; |
| PointerProperties properties[pointerCount]; |
| uint32_t pointerIndex = 0; |
| while(!pointers.isEmpty()) { |
| uint32_t pointerId = pointers.clearFirstMarkedBit(); |
| |
| coords[pointerIndex].clear(); |
| // We are treating column positions as pointerId |
| EXPECT_TRUE(entry.positions[pointerId].isValid()) << |
| "The entry at pointerId must be valid"; |
| coords[pointerIndex].setAxisValue(AMOTION_EVENT_AXIS_X, entry.positions[pointerId].x); |
| coords[pointerIndex].setAxisValue(AMOTION_EVENT_AXIS_Y, entry.positions[pointerId].y); |
| |
| properties[pointerIndex].id = pointerId; |
| properties[pointerIndex].toolType = AMOTION_EVENT_TOOL_TYPE_FINGER; |
| pointerIndex++; |
| } |
| EXPECT_EQ(pointerIndex, pointerCount); |
| |
| MotionEvent event; |
| event.initialize(InputEvent::nextId(), 0 /*deviceId*/, AINPUT_SOURCE_TOUCHSCREEN, |
| DISPLAY_ID, INVALID_HMAC, action, 0 /*actionButton*/, 0 /*flags*/, |
| AMOTION_EVENT_EDGE_FLAG_NONE, AMETA_NONE, 0 /*buttonState*/, |
| MotionClassification::NONE, 1 /*xScale*/, 1 /*yScale*/, 0 /*xOffset*/, |
| 0 /*yOffset*/, 0 /*xPrecision*/, 0 /*yPrecision*/, |
| AMOTION_EVENT_INVALID_CURSOR_POSITION, |
| AMOTION_EVENT_INVALID_CURSOR_POSITION, 0 /*downTime*/, |
| entry.eventTime.count(), pointerCount, properties, coords); |
| |
| events.emplace_back(event); |
| } |
| |
| return events; |
| } |
| |
| static void computeAndCheckVelocity(const char* strategy, |
| const std::vector<MotionEventEntry>& motions, int32_t axis, float targetVelocity) { |
| VelocityTracker vt(strategy); |
| float Vx, Vy; |
| |
| std::vector<MotionEvent> events = createMotionEventStream(motions); |
| for (MotionEvent event : events) { |
| vt.addMovement(&event); |
| } |
| |
| vt.getVelocity(DEFAULT_POINTER_ID, &Vx, &Vy); |
| |
| switch (axis) { |
| case AMOTION_EVENT_AXIS_X: |
| checkVelocity(Vx, targetVelocity); |
| break; |
| case AMOTION_EVENT_AXIS_Y: |
| checkVelocity(Vy, targetVelocity); |
| break; |
| default: |
| FAIL() << "Axis must be either AMOTION_EVENT_AXIS_X or AMOTION_EVENT_AXIS_Y"; |
| } |
| } |
| |
| static void computeAndCheckQuadraticEstimate(const std::vector<MotionEventEntry>& motions, |
| const std::array<float, 3>& coefficients) { |
| VelocityTracker vt("lsq2"); |
| std::vector<MotionEvent> events = createMotionEventStream(motions); |
| for (MotionEvent event : events) { |
| vt.addMovement(&event); |
| } |
| VelocityTracker::Estimator estimator; |
| EXPECT_TRUE(vt.getEstimator(0, &estimator)); |
| for (size_t i = 0; i< coefficients.size(); i++) { |
| checkCoefficient(estimator.xCoeff[i], coefficients[i]); |
| checkCoefficient(estimator.yCoeff[i], coefficients[i]); |
| } |
| } |
| |
| /* |
| * ================== VelocityTracker tests generated manually ===================================== |
| */ |
| TEST_F(VelocityTrackerTest, ThreePointsPositiveVelocityTest) { |
| // Same coordinate is reported 2 times in a row |
| // It is difficult to determine the correct answer here, but at least the direction |
| // of the reported velocity should be positive. |
| std::vector<MotionEventEntry> motions = { |
| {0ms, {{ 273, NAN}}}, |
| {12585us, {{293, NAN}}}, |
| {14730us, {{293, NAN}}}, |
| {14730us, {{293, NAN}}}, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 1600); |
| } |
| |
| TEST_F(VelocityTrackerTest, ThreePointsZeroVelocityTest) { |
| // Same coordinate is reported 3 times in a row |
| std::vector<MotionEventEntry> motions = { |
| { 0ms, {{293, NAN}} }, |
| { 6132us, {{293, NAN}} }, |
| { 11283us, {{293, NAN}} }, |
| { 11283us, {{293, NAN}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 0); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 0); |
| } |
| |
| TEST_F(VelocityTrackerTest, ThreePointsLinearVelocityTest) { |
| // Fixed velocity at 5 points per 10 milliseconds |
| std::vector<MotionEventEntry> motions = { |
| { 0ms, {{0, NAN}} }, |
| { 10ms, {{5, NAN}} }, |
| { 20ms, {{10, NAN}} }, |
| { 20ms, {{10, NAN}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 500); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 500); |
| } |
| |
| |
| /** |
| * ================== VelocityTracker tests generated by recording real events ===================== |
| * |
| * To add a test, record the input coordinates and event times to all calls |
| * to void VelocityTracker::addMovement(const MotionEvent* event). |
| * Also record all calls to VelocityTracker::clear(). |
| * Finally, record the output of VelocityTracker::getVelocity(...) |
| * This will give you the necessary data to create a new test. |
| * |
| * Another good way to generate this data is to use 'dumpsys input' just after the event has |
| * occurred. |
| */ |
| |
| // --------------- Recorded by hand on swordfish --------------------------------------------------- |
| TEST_F(VelocityTrackerTest, SwordfishFlingDown) { |
| // Recording of a fling on Swordfish that could cause a fling in the wrong direction |
| std::vector<MotionEventEntry> motions = { |
| { 0ms, {{271, 96}} }, |
| { 16071042ns, {{269.786346, 106.922775}} }, |
| { 35648403ns, {{267.983063, 156.660034}} }, |
| { 52313925ns, {{262.638397, 220.339081}} }, |
| { 68976522ns, {{266.138824, 331.581116}} }, |
| { 85639375ns, {{274.79245, 428.113159}} }, |
| { 96948871ns, {{274.79245, 428.113159}} }, |
| { 96948871ns, {{274.79245, 428.113159}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 623.577637); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 5970.7309); |
| } |
| |
| // --------------- Recorded by hand on sailfish, generated by a script ----------------------------- |
| // For some of these tests, the X-direction velocity checking has been removed, because the lsq2 |
| // and the impulse VelocityTrackerStrategies did not agree within 20%. |
| // Since the flings were recorded in the Y-direction, the intentional user action should only |
| // be relevant for the Y axis. |
| // There have been also cases where lsq2 and impulse disagreed more than 20% in the Y-direction. |
| // Those recordings have been discarded because we didn't feel one strategy's interpretation was |
| // more correct than another's but didn't want to increase the tolerance for the entire test suite. |
| // |
| // There are 18 tests total below: 9 in the positive Y direction and 9 in the opposite. |
| // The recordings were loosely binned into 3 categories - slow, faster, and fast, which roughly |
| // characterizes the velocity of the finger motion. |
| // These can be treated approximately as: |
| // slow - less than 1 page gets scrolled |
| // faster - more than 1 page gets scrolled, but less than 3 |
| // fast - entire list is scrolled (fling is done as hard as possible) |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingUpSlow1) { |
| // Sailfish - fling up - slow - 1 |
| std::vector<MotionEventEntry> motions = { |
| { 235089067457000ns, {{528.00, 983.00}} }, |
| { 235089084684000ns, {{527.00, 981.00}} }, |
| { 235089093349000ns, {{527.00, 977.00}} }, |
| { 235089095677625ns, {{527.00, 975.93}} }, |
| { 235089101859000ns, {{527.00, 970.00}} }, |
| { 235089110378000ns, {{528.00, 960.00}} }, |
| { 235089112497111ns, {{528.25, 957.51}} }, |
| { 235089118760000ns, {{531.00, 946.00}} }, |
| { 235089126686000ns, {{535.00, 931.00}} }, |
| { 235089129316820ns, {{536.33, 926.02}} }, |
| { 235089135199000ns, {{540.00, 914.00}} }, |
| { 235089144297000ns, {{546.00, 896.00}} }, |
| { 235089146136443ns, {{547.21, 892.36}} }, |
| { 235089152923000ns, {{553.00, 877.00}} }, |
| { 235089160784000ns, {{559.00, 851.00}} }, |
| { 235089162955851ns, {{560.66, 843.82}} }, |
| { 235089162955851ns, {{560.66, 843.82}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 872.794617); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 951.698181); |
| computeAndCheckVelocity("impulse",motions, AMOTION_EVENT_AXIS_Y, -3604.819336); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -3044.966064); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingUpSlow2) { |
| // Sailfish - fling up - slow - 2 |
| std::vector<MotionEventEntry> motions = { |
| { 235110560704000ns, {{522.00, 1107.00}} }, |
| { 235110575764000ns, {{522.00, 1107.00}} }, |
| { 235110584385000ns, {{522.00, 1107.00}} }, |
| { 235110588421179ns, {{521.52, 1106.52}} }, |
| { 235110592830000ns, {{521.00, 1106.00}} }, |
| { 235110601385000ns, {{520.00, 1104.00}} }, |
| { 235110605088160ns, {{519.14, 1102.27}} }, |
| { 235110609952000ns, {{518.00, 1100.00}} }, |
| { 235110618353000ns, {{517.00, 1093.00}} }, |
| { 235110621755146ns, {{516.60, 1090.17}} }, |
| { 235110627010000ns, {{517.00, 1081.00}} }, |
| { 235110634785000ns, {{518.00, 1063.00}} }, |
| { 235110638422450ns, {{518.87, 1052.58}} }, |
| { 235110643161000ns, {{520.00, 1039.00}} }, |
| { 235110651767000ns, {{524.00, 1011.00}} }, |
| { 235110655089581ns, {{525.54, 1000.19}} }, |
| { 235110660368000ns, {{530.00, 980.00}} }, |
| { 235110660368000ns, {{530.00, 980.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -4096.583008); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -3455.094238); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingUpSlow3) { |
| // Sailfish - fling up - slow - 3 |
| std::vector<MotionEventEntry> motions = { |
| { 792536237000ns, {{580.00, 1317.00}} }, |
| { 792541538987ns, {{580.63, 1311.94}} }, |
| { 792544613000ns, {{581.00, 1309.00}} }, |
| { 792552301000ns, {{583.00, 1295.00}} }, |
| { 792558362309ns, {{585.13, 1282.92}} }, |
| { 792560828000ns, {{586.00, 1278.00}} }, |
| { 792569446000ns, {{589.00, 1256.00}} }, |
| { 792575185095ns, {{591.54, 1241.41}} }, |
| { 792578491000ns, {{593.00, 1233.00}} }, |
| { 792587044000ns, {{597.00, 1211.00}} }, |
| { 792592008172ns, {{600.28, 1195.92}} }, |
| { 792594616000ns, {{602.00, 1188.00}} }, |
| { 792603129000ns, {{607.00, 1167.00}} }, |
| { 792608831290ns, {{609.48, 1155.83}} }, |
| { 792612321000ns, {{611.00, 1149.00}} }, |
| { 792620768000ns, {{615.00, 1131.00}} }, |
| { 792625653873ns, {{617.32, 1121.73}} }, |
| { 792629200000ns, {{619.00, 1115.00}} }, |
| { 792629200000ns, {{619.00, 1115.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 574.33429); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 617.40564); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -2361.982666); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -2500.055664); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingUpFaster1) { |
| // Sailfish - fling up - faster - 1 |
| std::vector<MotionEventEntry> motions = { |
| { 235160420675000ns, {{610.00, 1042.00}} }, |
| { 235160428220000ns, {{609.00, 1026.00}} }, |
| { 235160436544000ns, {{609.00, 1024.00}} }, |
| { 235160441852394ns, {{609.64, 1020.82}} }, |
| { 235160444878000ns, {{610.00, 1019.00}} }, |
| { 235160452673000ns, {{613.00, 1006.00}} }, |
| { 235160458519743ns, {{617.18, 992.06}} }, |
| { 235160461061000ns, {{619.00, 986.00}} }, |
| { 235160469798000ns, {{627.00, 960.00}} }, |
| { 235160475186713ns, {{632.22, 943.02}} }, |
| { 235160478051000ns, {{635.00, 934.00}} }, |
| { 235160486489000ns, {{644.00, 906.00}} }, |
| { 235160491853697ns, {{649.56, 890.56}} }, |
| { 235160495177000ns, {{653.00, 881.00}} }, |
| { 235160504148000ns, {{662.00, 858.00}} }, |
| { 235160509231495ns, {{666.81, 845.37}} }, |
| { 235160512603000ns, {{670.00, 837.00}} }, |
| { 235160520366000ns, {{679.00, 814.00}} }, |
| { 235160520366000ns, {{679.00, 814.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 1274.141724); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 1438.53186); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -3001.4348); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -3695.859619); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingUpFaster2) { |
| // Sailfish - fling up - faster - 2 |
| std::vector<MotionEventEntry> motions = { |
| { 847153808000ns, {{576.00, 1264.00}} }, |
| { 847171174000ns, {{576.00, 1262.00}} }, |
| { 847179640000ns, {{576.00, 1257.00}} }, |
| { 847185187540ns, {{577.41, 1249.22}} }, |
| { 847187487000ns, {{578.00, 1246.00}} }, |
| { 847195710000ns, {{581.00, 1227.00}} }, |
| { 847202027059ns, {{583.93, 1209.40}} }, |
| { 847204324000ns, {{585.00, 1203.00}} }, |
| { 847212672000ns, {{590.00, 1176.00}} }, |
| { 847218861395ns, {{594.36, 1157.11}} }, |
| { 847221190000ns, {{596.00, 1150.00}} }, |
| { 847230484000ns, {{602.00, 1124.00}} }, |
| { 847235701400ns, {{607.56, 1103.83}} }, |
| { 847237986000ns, {{610.00, 1095.00}} }, |
| { 847237986000ns, {{610.00, 1095.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -4280.07959); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -4241.004395); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingUpFaster3) { |
| // Sailfish - fling up - faster - 3 |
| std::vector<MotionEventEntry> motions = { |
| { 235200532789000ns, {{507.00, 1084.00}} }, |
| { 235200549221000ns, {{507.00, 1083.00}} }, |
| { 235200557841000ns, {{507.00, 1081.00}} }, |
| { 235200558051189ns, {{507.00, 1080.95}} }, |
| { 235200566314000ns, {{507.00, 1078.00}} }, |
| { 235200574876586ns, {{508.97, 1070.12}} }, |
| { 235200575006000ns, {{509.00, 1070.00}} }, |
| { 235200582900000ns, {{514.00, 1054.00}} }, |
| { 235200591276000ns, {{525.00, 1023.00}} }, |
| { 235200591701829ns, {{525.56, 1021.42}} }, |
| { 235200600064000ns, {{542.00, 976.00}} }, |
| { 235200608519000ns, {{563.00, 911.00}} }, |
| { 235200608527086ns, {{563.02, 910.94}} }, |
| { 235200616933000ns, {{590.00, 844.00}} }, |
| { 235200616933000ns, {{590.00, 844.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -8715.686523); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -7639.026367); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingUpFast1) { |
| // Sailfish - fling up - fast - 1 |
| std::vector<MotionEventEntry> motions = { |
| { 920922149000ns, {{561.00, 1412.00}} }, |
| { 920930185000ns, {{559.00, 1377.00}} }, |
| { 920930262463ns, {{558.98, 1376.66}} }, |
| { 920938547000ns, {{559.00, 1371.00}} }, |
| { 920947096857ns, {{562.91, 1342.68}} }, |
| { 920947302000ns, {{563.00, 1342.00}} }, |
| { 920955502000ns, {{577.00, 1272.00}} }, |
| { 920963931021ns, {{596.87, 1190.54}} }, |
| { 920963987000ns, {{597.00, 1190.00}} }, |
| { 920972530000ns, {{631.00, 1093.00}} }, |
| { 920980765511ns, {{671.31, 994.68}} }, |
| { 920980906000ns, {{672.00, 993.00}} }, |
| { 920989261000ns, {{715.00, 903.00}} }, |
| { 920989261000ns, {{715.00, 903.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 5670.329102); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, 5991.866699); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -13021.101562); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -15093.995117); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingUpFast2) { |
| // Sailfish - fling up - fast - 2 |
| std::vector<MotionEventEntry> motions = { |
| { 235247153233000ns, {{518.00, 1168.00}} }, |
| { 235247170452000ns, {{517.00, 1167.00}} }, |
| { 235247178908000ns, {{515.00, 1159.00}} }, |
| { 235247179556213ns, {{514.85, 1158.39}} }, |
| { 235247186821000ns, {{515.00, 1125.00}} }, |
| { 235247195265000ns, {{521.00, 1051.00}} }, |
| { 235247196389476ns, {{521.80, 1041.15}} }, |
| { 235247203649000ns, {{538.00, 932.00}} }, |
| { 235247212253000ns, {{571.00, 794.00}} }, |
| { 235247213222491ns, {{574.72, 778.45}} }, |
| { 235247220736000ns, {{620.00, 641.00}} }, |
| { 235247220736000ns, {{620.00, 641.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -20286.958984); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -20494.587891); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingUpFast3) { |
| // Sailfish - fling up - fast - 3 |
| std::vector<MotionEventEntry> motions = { |
| { 235302568736000ns, {{529.00, 1167.00}} }, |
| { 235302576644000ns, {{523.00, 1140.00}} }, |
| { 235302579395063ns, {{520.91, 1130.61}} }, |
| { 235302585140000ns, {{522.00, 1130.00}} }, |
| { 235302593615000ns, {{527.00, 1065.00}} }, |
| { 235302596207444ns, {{528.53, 1045.12}} }, |
| { 235302602102000ns, {{559.00, 872.00}} }, |
| { 235302610545000ns, {{652.00, 605.00}} }, |
| { 235302613019881ns, {{679.26, 526.73}} }, |
| { 235302613019881ns, {{679.26, 526.73}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, -39295.941406); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -36461.421875); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingDownSlow1) { |
| // Sailfish - fling down - slow - 1 |
| std::vector<MotionEventEntry> motions = { |
| { 235655749552755ns, {{582.00, 432.49}} }, |
| { 235655750638000ns, {{582.00, 433.00}} }, |
| { 235655758865000ns, {{582.00, 440.00}} }, |
| { 235655766221523ns, {{581.16, 448.43}} }, |
| { 235655767594000ns, {{581.00, 450.00}} }, |
| { 235655776044000ns, {{580.00, 462.00}} }, |
| { 235655782890696ns, {{579.18, 474.35}} }, |
| { 235655784360000ns, {{579.00, 477.00}} }, |
| { 235655792795000ns, {{578.00, 496.00}} }, |
| { 235655799559531ns, {{576.27, 515.04}} }, |
| { 235655800612000ns, {{576.00, 518.00}} }, |
| { 235655809535000ns, {{574.00, 542.00}} }, |
| { 235655816988015ns, {{572.17, 564.86}} }, |
| { 235655817685000ns, {{572.00, 567.00}} }, |
| { 235655825981000ns, {{569.00, 595.00}} }, |
| { 235655833808653ns, {{566.26, 620.60}} }, |
| { 235655834541000ns, {{566.00, 623.00}} }, |
| { 235655842893000ns, {{563.00, 649.00}} }, |
| { 235655842893000ns, {{563.00, 649.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, -419.749695); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -398.303894); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 3309.016357); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 3969.099854); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingDownSlow2) { |
| // Sailfish - fling down - slow - 2 |
| std::vector<MotionEventEntry> motions = { |
| { 235671152083370ns, {{485.24, 558.28}} }, |
| { 235671154126000ns, {{485.00, 559.00}} }, |
| { 235671162497000ns, {{484.00, 566.00}} }, |
| { 235671168750511ns, {{483.27, 573.29}} }, |
| { 235671171071000ns, {{483.00, 576.00}} }, |
| { 235671179390000ns, {{482.00, 588.00}} }, |
| { 235671185417210ns, {{481.31, 598.98}} }, |
| { 235671188173000ns, {{481.00, 604.00}} }, |
| { 235671196371000ns, {{480.00, 624.00}} }, |
| { 235671202084196ns, {{479.27, 639.98}} }, |
| { 235671204235000ns, {{479.00, 646.00}} }, |
| { 235671212554000ns, {{478.00, 673.00}} }, |
| { 235671219471011ns, {{476.39, 697.12}} }, |
| { 235671221159000ns, {{476.00, 703.00}} }, |
| { 235671229592000ns, {{474.00, 734.00}} }, |
| { 235671236281462ns, {{472.43, 758.38}} }, |
| { 235671238098000ns, {{472.00, 765.00}} }, |
| { 235671246532000ns, {{470.00, 799.00}} }, |
| { 235671246532000ns, {{470.00, 799.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, -262.80426); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -243.665344); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 4215.682129); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 4587.986816); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingDownSlow3) { |
| // Sailfish - fling down - slow - 3 |
| std::vector<MotionEventEntry> motions = { |
| { 170983201000ns, {{557.00, 533.00}} }, |
| { 171000668000ns, {{556.00, 534.00}} }, |
| { 171007359750ns, {{554.73, 535.27}} }, |
| { 171011197000ns, {{554.00, 536.00}} }, |
| { 171017660000ns, {{552.00, 540.00}} }, |
| { 171024201831ns, {{549.97, 544.73}} }, |
| { 171027333000ns, {{549.00, 547.00}} }, |
| { 171034603000ns, {{545.00, 557.00}} }, |
| { 171041043371ns, {{541.98, 567.55}} }, |
| { 171043147000ns, {{541.00, 571.00}} }, |
| { 171051052000ns, {{536.00, 586.00}} }, |
| { 171051052000ns, {{536.00, 586.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, -723.413513); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -651.038452); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 2091.502441); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 1934.517456); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingDownFaster1) { |
| // Sailfish - fling down - faster - 1 |
| std::vector<MotionEventEntry> motions = { |
| { 235695280333000ns, {{558.00, 451.00}} }, |
| { 235695283971237ns, {{558.43, 454.45}} }, |
| { 235695289038000ns, {{559.00, 462.00}} }, |
| { 235695297388000ns, {{561.00, 478.00}} }, |
| { 235695300638465ns, {{561.83, 486.25}} }, |
| { 235695305265000ns, {{563.00, 498.00}} }, |
| { 235695313591000ns, {{564.00, 521.00}} }, |
| { 235695317305492ns, {{564.43, 532.68}} }, |
| { 235695322181000ns, {{565.00, 548.00}} }, |
| { 235695330709000ns, {{565.00, 577.00}} }, |
| { 235695333972227ns, {{565.00, 588.10}} }, |
| { 235695339250000ns, {{565.00, 609.00}} }, |
| { 235695347839000ns, {{565.00, 642.00}} }, |
| { 235695351313257ns, {{565.00, 656.18}} }, |
| { 235695356412000ns, {{565.00, 677.00}} }, |
| { 235695364899000ns, {{563.00, 710.00}} }, |
| { 235695368118682ns, {{562.24, 722.52}} }, |
| { 235695373403000ns, {{564.00, 744.00}} }, |
| { 235695373403000ns, {{564.00, 744.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 4254.639648); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 4698.415039); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingDownFaster2) { |
| // Sailfish - fling down - faster - 2 |
| std::vector<MotionEventEntry> motions = { |
| { 235709624766000ns, {{535.00, 579.00}} }, |
| { 235709642256000ns, {{534.00, 580.00}} }, |
| { 235709643350278ns, {{533.94, 580.06}} }, |
| { 235709650760000ns, {{532.00, 584.00}} }, |
| { 235709658615000ns, {{530.00, 593.00}} }, |
| { 235709660170495ns, {{529.60, 594.78}} }, |
| { 235709667095000ns, {{527.00, 606.00}} }, |
| { 235709675616000ns, {{524.00, 628.00}} }, |
| { 235709676983261ns, {{523.52, 631.53}} }, |
| { 235709684289000ns, {{521.00, 652.00}} }, |
| { 235709692763000ns, {{518.00, 682.00}} }, |
| { 235709693804993ns, {{517.63, 685.69}} }, |
| { 235709701438000ns, {{515.00, 709.00}} }, |
| { 235709709830000ns, {{512.00, 739.00}} }, |
| { 235709710626776ns, {{511.72, 741.85}} }, |
| { 235709710626776ns, {{511.72, 741.85}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, -430.440247); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -447.600311); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 3953.859375); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 4316.155273); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingDownFaster3) { |
| // Sailfish - fling down - faster - 3 |
| std::vector<MotionEventEntry> motions = { |
| { 235727628927000ns, {{540.00, 440.00}} }, |
| { 235727636810000ns, {{537.00, 454.00}} }, |
| { 235727646176000ns, {{536.00, 454.00}} }, |
| { 235727653586628ns, {{535.12, 456.65}} }, |
| { 235727654557000ns, {{535.00, 457.00}} }, |
| { 235727663024000ns, {{534.00, 465.00}} }, |
| { 235727670410103ns, {{533.04, 479.45}} }, |
| { 235727670691000ns, {{533.00, 480.00}} }, |
| { 235727679255000ns, {{531.00, 501.00}} }, |
| { 235727687233704ns, {{529.09, 526.73}} }, |
| { 235727687628000ns, {{529.00, 528.00}} }, |
| { 235727696113000ns, {{526.00, 558.00}} }, |
| { 235727704057546ns, {{523.18, 588.98}} }, |
| { 235727704576000ns, {{523.00, 591.00}} }, |
| { 235727713099000ns, {{520.00, 626.00}} }, |
| { 235727720880776ns, {{516.33, 655.36}} }, |
| { 235727721580000ns, {{516.00, 658.00}} }, |
| { 235727721580000ns, {{516.00, 658.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 4484.617676); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 4927.92627); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingDownFast1) { |
| // Sailfish - fling down - fast - 1 |
| std::vector<MotionEventEntry> motions = { |
| { 235762352849000ns, {{467.00, 286.00}} }, |
| { 235762360250000ns, {{443.00, 344.00}} }, |
| { 235762362787412ns, {{434.77, 363.89}} }, |
| { 235762368807000ns, {{438.00, 359.00}} }, |
| { 235762377220000ns, {{425.00, 423.00}} }, |
| { 235762379608561ns, {{421.31, 441.17}} }, |
| { 235762385698000ns, {{412.00, 528.00}} }, |
| { 235762394133000ns, {{406.00, 648.00}} }, |
| { 235762396429369ns, {{404.37, 680.67}} }, |
| { 235762396429369ns, {{404.37, 680.67}} }, //ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 14227.0224); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 16064.685547); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingDownFast2) { |
| // Sailfish - fling down - fast - 2 |
| std::vector<MotionEventEntry> motions = { |
| { 235772487188000ns, {{576.00, 204.00}} }, |
| { 235772495159000ns, {{553.00, 236.00}} }, |
| { 235772503568000ns, {{551.00, 240.00}} }, |
| { 235772508192247ns, {{545.55, 254.17}} }, |
| { 235772512051000ns, {{541.00, 266.00}} }, |
| { 235772520794000ns, {{520.00, 337.00}} }, |
| { 235772525015263ns, {{508.92, 394.43}} }, |
| { 235772529174000ns, {{498.00, 451.00}} }, |
| { 235772537635000ns, {{484.00, 589.00}} }, |
| { 235772537635000ns, {{484.00, 589.00}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 18660.048828); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 16918.439453); |
| } |
| |
| |
| TEST_F(VelocityTrackerTest, SailfishFlingDownFast3) { |
| // Sailfish - fling down - fast - 3 |
| std::vector<MotionEventEntry> motions = { |
| { 507650295000ns, {{628.00, 233.00}} }, |
| { 507658234000ns, {{605.00, 269.00}} }, |
| { 507666784000ns, {{601.00, 274.00}} }, |
| { 507669660483ns, {{599.65, 275.68}} }, |
| { 507675427000ns, {{582.00, 308.00}} }, |
| { 507683740000ns, {{541.00, 404.00}} }, |
| { 507686506238ns, {{527.36, 435.95}} }, |
| { 507692220000ns, {{487.00, 581.00}} }, |
| { 507700707000ns, {{454.00, 792.00}} }, |
| { 507703352649ns, {{443.71, 857.77}} }, |
| { 507703352649ns, {{443.71, 857.77}} }, // ACTION_UP |
| }; |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, -4111.8173); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -6388.48877); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 29765.908203); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, 28354.796875); |
| } |
| |
| /** |
| * ================== Multiple pointers ============================================================ |
| * |
| * Three fingers quickly tap the screen. Since this is a tap, the velocities should be zero. |
| * If the events with POINTER_UP or POINTER_DOWN are not handled correctly (these should not be |
| * part of the fitted data), this can cause large velocity values to be reported instead. |
| */ |
| TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_ThreeFingerTap) { |
| std::vector<MotionEventEntry> motions = { |
| { 0us, {{1063, 1128}, {NAN, NAN}, {NAN, NAN}} }, |
| { 10800us, {{1063, 1128}, {682, 1318}, {NAN, NAN}} }, // POINTER_DOWN |
| { 10800us, {{1063, 1128}, {682, 1318}, {397, 1747}} }, // POINTER_DOWN |
| { 267300us, {{1063, 1128}, {682, 1318}, {397, 1747}} }, // POINTER_UP |
| { 267300us, {{1063, 1128}, {NAN, NAN}, {397, 1747}} }, // POINTER_UP |
| { 272700us, {{1063, 1128}, {NAN, NAN}, {NAN, NAN}} }, |
| }; |
| |
| // Velocity should actually be zero, but we expect 0.016 here instead. |
| // This is close enough to zero, and is likely caused by division by a very small number. |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_X, -0.016); |
| computeAndCheckVelocity("lsq2", motions, AMOTION_EVENT_AXIS_Y, -0.016); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_X, 0); |
| computeAndCheckVelocity("impulse", motions, AMOTION_EVENT_AXIS_Y, 0); |
| } |
| |
| /** |
| * ================== Tests for least squares fitting ============================================== |
| * |
| * Special care must be taken when constructing tests for LeastSquaresVelocityTrackerStrategy |
| * getEstimator function. In particular: |
| * - inside the function, time gets converted from nanoseconds to seconds |
| * before being used in the fit. |
| * - any values that are older than 100 ms are being discarded. |
| * - the newest time gets subtracted from all of the other times before being used in the fit. |
| * So these tests have to be designed with those limitations in mind. |
| * |
| * General approach for the tests below: |
| * We only used timestamps in milliseconds, 0 ms, 1 ms, and 2 ms, to be sure that |
| * we are well within the HORIZON range. |
| * When specifying the expected values of the coefficients, we treat the x values as if |
| * they were in ms. Then, to adjust for the time units, the coefficients get progressively |
| * multiplied by powers of 1E3. |
| * For example: |
| * data: t(ms), x |
| * 1 ms, 1 |
| * 2 ms, 4 |
| * 3 ms, 9 |
| * The coefficients are (0, 0, 1). |
| * In the test, we would convert these coefficients to (0*(1E3)^0, 0*(1E3)^1, 1*(1E3)^2). |
| */ |
| TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_Constant) { |
| std::vector<MotionEventEntry> motions = { |
| { 0ms, {{1, 1}} }, // 0 s |
| { 1ms, {{1, 1}} }, // 0.001 s |
| { 2ms, {{1, 1}} }, // 0.002 s |
| { 2ms, {{1, 1}} }, // ACTION_UP |
| }; |
| // The data used for the fit will be as follows: |
| // time(s), position |
| // -0.002, 1 |
| // -0.001, 1 |
| // -0.ms, 1 |
| computeAndCheckQuadraticEstimate(motions, std::array<float, 3>({1, 0, 0})); |
| } |
| |
| /* |
| * Straight line y = x :: the constant and quadratic coefficients are zero. |
| */ |
| TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_Linear) { |
| std::vector<MotionEventEntry> motions = { |
| { 0ms, {{-2, -2}} }, |
| { 1ms, {{-1, -1}} }, |
| { 2ms, {{-0, -0}} }, |
| { 2ms, {{-0, -0}} }, // ACTION_UP |
| }; |
| // The data used for the fit will be as follows: |
| // time(s), position |
| // -0.002, -2 |
| // -0.001, -1 |
| // -0.000, 0 |
| computeAndCheckQuadraticEstimate(motions, std::array<float, 3>({0, 1E3, 0})); |
| } |
| |
| /* |
| * Parabola |
| */ |
| TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_Parabolic) { |
| std::vector<MotionEventEntry> motions = { |
| { 0ms, {{1, 1}} }, |
| { 1ms, {{4, 4}} }, |
| { 2ms, {{8, 8}} }, |
| { 2ms, {{8, 8}} }, // ACTION_UP |
| }; |
| // The data used for the fit will be as follows: |
| // time(s), position |
| // -0.002, 1 |
| // -0.001, 4 |
| // -0.000, 8 |
| computeAndCheckQuadraticEstimate(motions, std::array<float, 3>({8, 4.5E3, 0.5E6})); |
| } |
| |
| /* |
| * Parabola |
| */ |
| TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_Parabolic2) { |
| std::vector<MotionEventEntry> motions = { |
| { 0ms, {{1, 1}} }, |
| { 1ms, {{4, 4}} }, |
| { 2ms, {{9, 9}} }, |
| { 2ms, {{9, 9}} }, // ACTION_UP |
| }; |
| // The data used for the fit will be as follows: |
| // time(s), position |
| // -0.002, 1 |
| // -0.001, 4 |
| // -0.000, 9 |
| computeAndCheckQuadraticEstimate(motions, std::array<float, 3>({9, 6E3, 1E6})); |
| } |
| |
| /* |
| * Parabola :: y = x^2 :: the constant and linear coefficients are zero. |
| */ |
| TEST_F(VelocityTrackerTest, LeastSquaresVelocityTrackerStrategyEstimator_Parabolic3) { |
| std::vector<MotionEventEntry> motions = { |
| { 0ms, {{4, 4}} }, |
| { 1ms, {{1, 1}} }, |
| { 2ms, {{0, 0}} }, |
| { 2ms, {{0, 0}} }, // ACTION_UP |
| }; |
| // The data used for the fit will be as follows: |
| // time(s), position |
| // -0.002, 4 |
| // -0.001, 1 |
| // -0.000, 0 |
| computeAndCheckQuadraticEstimate(motions, std::array<float, 3>({0, 0E3, 1E6})); |
| } |
| |
| } // namespace android |
