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400 行
15 KiB
400 行
15 KiB
using System.Collections.Generic;
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using System.IO;
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using System.Reflection;
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using NUnit.Framework;
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using Unity.MLAgents.Extensions.Match3;
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using UnityEngine;
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using Unity.MLAgents.Extensions.Tests.Sensors;
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using Unity.MLAgents.Sensors;
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namespace Unity.MLAgents.Extensions.Tests.Match3
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{
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public class Match3SensorTests
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{
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// Whether the expected PNG data should be written to a file.
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// Only set this to true if the compressed observation format changes.
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private bool WritePNGDataToFile = false;
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private const string k_CellObservationPng = "match3obs_";
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private const string k_SpecialObservationPng = "match3obs_special_";
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private const string k_Suffix2x2 = "2x2_";
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[TestCase(true, TestName = "Full Board")]
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[TestCase(false, TestName = "Small Board")]
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public void TestVectorObservations(bool fullBoard)
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{
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var boardString =
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@"000
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000
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010";
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var gameObj = new GameObject("board");
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var board = gameObj.AddComponent<StringBoard>();
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board.SetBoard(boardString);
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if (!fullBoard)
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{
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board.CurrentRows = 2;
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board.CurrentColumns = 2;
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}
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var sensorComponent = gameObj.AddComponent<Match3SensorComponent>();
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sensorComponent.ObservationType = Match3ObservationType.Vector;
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var sensor = sensorComponent.CreateSensors()[0];
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var expectedShape = new InplaceArray<int>(3 * 3 * 2);
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Assert.AreEqual(expectedShape, sensor.GetObservationSpec().Shape);
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float[] expectedObs;
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if (fullBoard)
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{
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expectedObs = new float[]
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{
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1, 0, /* 0 */ 0, 1, /* 1 */ 1, 0, /* 0 */
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1, 0, /* 0 */ 1, 0, /* 0 */ 1, 0, /* 0 */
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1, 0, /* 0 */ 1, 0, /* 0 */ 1, 0, /* 0 */
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};
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}
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else
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{
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expectedObs = new float[]
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{
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1, 0, /* 0 */ 0, 1, /* 1 */ 0, 0, /* empty */
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1, 0, /* 0 */ 1, 0, /* 0 */ 0, 0, /* empty */
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0, 0, /* empty */ 0, 0, /* empty */ 0, 0, /* empty */
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};
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}
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SensorTestHelper.CompareObservation(sensor, expectedObs);
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}
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[Test]
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public void TestVectorObservationsSpecial()
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{
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var boardString =
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@"000
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000
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010";
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var specialString =
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@"010
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200
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000";
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var gameObj = new GameObject("board");
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var board = gameObj.AddComponent<StringBoard>();
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board.SetBoard(boardString);
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board.SetSpecial(specialString);
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var sensorComponent = gameObj.AddComponent<Match3SensorComponent>();
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sensorComponent.ObservationType = Match3ObservationType.Vector;
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var sensors = sensorComponent.CreateSensors();
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var cellSensor = sensors[0];
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var specialSensor = sensors[1];
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{
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var expectedShape = new InplaceArray<int>(3 * 3 * 2);
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Assert.AreEqual(expectedShape, cellSensor.GetObservationSpec().Shape);
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var expectedObs = new float[]
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{
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1, 0, /* (0) */ 0, 1, /* (1) */ 1, 0, /* (0) */
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1, 0, /* (0) */ 1, 0, /* (0) */ 1, 0, /* (0) */
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1, 0, /* (0) */ 1, 0, /* (0) */ 1, 0, /* (0) */
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};
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SensorTestHelper.CompareObservation(cellSensor, expectedObs);
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}
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{
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var expectedShape = new InplaceArray<int>(3 * 3 * 3);
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Assert.AreEqual(expectedShape, specialSensor.GetObservationSpec().Shape);
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var expectedObs = new float[]
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{
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1, 0, 0, /* (0) */ 1, 0, 0, /* (1) */ 1, 0, 0, /* (0) */
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0, 0, 1, /* (2) */ 1, 0, 0, /* (0) */ 1, 0, 0, /* (0) */
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1, 0, 0, /* (0) */ 0, 1, 0, /* (1) */ 1, 0, 0, /* (0) */
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};
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SensorTestHelper.CompareObservation(specialSensor, expectedObs);
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}
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}
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[TestCase(true, TestName = "Full Board")]
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[TestCase(false, TestName = "Small Board")]
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public void TestVisualObservations(bool fullBoard)
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{
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var boardString =
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@"000
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000
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010";
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var gameObj = new GameObject("board");
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var board = gameObj.AddComponent<StringBoard>();
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board.SetBoard(boardString);
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if (!fullBoard)
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{
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board.CurrentRows = 2;
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board.CurrentColumns = 2;
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}
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var sensorComponent = gameObj.AddComponent<Match3SensorComponent>();
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sensorComponent.ObservationType = Match3ObservationType.UncompressedVisual;
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var sensor = sensorComponent.CreateSensors()[0];
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var expectedShape = new InplaceArray<int>(3, 3, 2);
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Assert.AreEqual(expectedShape, sensor.GetObservationSpec().Shape);
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Assert.AreEqual(SensorCompressionType.None, sensor.GetCompressionSpec().SensorCompressionType);
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float[] expectedObs;
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float[,,] expectedObs3D;
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if (fullBoard)
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{
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expectedObs = new float[]
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{
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1, 0, /**/ 0, 1, /**/ 1, 0,
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1, 0, /**/ 1, 0, /**/ 1, 0,
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1, 0, /**/ 1, 0, /**/ 1, 0,
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};
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expectedObs3D = new float[,,]
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{
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{{1, 0}, {0, 1}, {1, 0}},
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{{1, 0}, {1, 0}, {1, 0}},
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{{1, 0}, {1, 0}, {1, 0}},
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};
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}
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else
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{
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expectedObs = new float[]
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{
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1, 0, /* 0 */ 0, 1, /* 1 */ 0, 0, /* empty */
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1, 0, /* 0 */ 1, 0, /* 0 */ 0, 0, /* empty */
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0, 0, /* empty */ 0, 0, /* empty */ 0, 0, /* empty */
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};
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expectedObs3D = new float[,,]
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{
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{{1, 0}, {0, 1}, {0, 0}},
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{{1, 0}, {1, 0}, {0, 0}},
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{{0, 0}, {0, 0}, {0, 0}},
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};
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}
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SensorTestHelper.CompareObservation(sensor, expectedObs);
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SensorTestHelper.CompareObservation(sensor, expectedObs3D);
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}
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[Test]
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public void TestVisualObservationsSpecial()
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{
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var boardString =
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@"000
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000
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010";
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var specialString =
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@"010
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200
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000";
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var gameObj = new GameObject("board");
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var board = gameObj.AddComponent<StringBoard>();
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board.SetBoard(boardString);
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board.SetSpecial(specialString);
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var sensorComponent = gameObj.AddComponent<Match3SensorComponent>();
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sensorComponent.ObservationType = Match3ObservationType.UncompressedVisual;
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var sensors = sensorComponent.CreateSensors();
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var cellSensor = sensors[0];
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var specialSensor = sensors[1];
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{
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var expectedShape = new InplaceArray<int>(3, 3, 2);
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Assert.AreEqual(expectedShape, cellSensor.GetObservationSpec().Shape);
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Assert.AreEqual(SensorCompressionType.None, cellSensor.GetCompressionSpec().SensorCompressionType);
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var expectedObs = new float[]
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{
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1, 0, /* (0) */ 0, 1, /* (1) */ 1, 0, /* (0) */
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1, 0, /* (0) */ 1, 0, /* (0) */ 1, 0, /* (0) */
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1, 0, /* (0) */ 1, 0, /* (0) */ 1, 0, /* (0) */
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};
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SensorTestHelper.CompareObservation(cellSensor, expectedObs);
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var expectedObs3D = new float[,,]
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{
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{{1, 0}, {0, 1}, {1, 0}},
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{{1, 0}, {1, 0}, {1, 0}},
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{{1, 0}, {1, 0}, {1, 0}},
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};
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SensorTestHelper.CompareObservation(cellSensor, expectedObs3D);
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}
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{
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var expectedShape = new InplaceArray<int>(3, 3, 3);
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Assert.AreEqual(expectedShape, specialSensor.GetObservationSpec().Shape);
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Assert.AreEqual(SensorCompressionType.None, specialSensor.GetCompressionSpec().SensorCompressionType);
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var expectedObs = new float[]
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{
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1, 0, 0, /* (0) */ 1, 0, 0, /* (1) */ 1, 0, 0, /* (0) */
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0, 0, 1, /* (2) */ 1, 0, 0, /* (0) */ 1, 0, 0, /* (0) */
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1, 0, 0, /* (0) */ 0, 1, 0, /* (1) */ 1, 0, 0, /* (0) */
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};
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SensorTestHelper.CompareObservation(specialSensor, expectedObs);
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var expectedObs3D = new float[,,]
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{
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{{1, 0, 0}, {1, 0, 0}, {1, 0, 0}},
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{{0, 0, 1}, {1, 0, 0}, {1, 0, 0}},
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{{1, 0, 0}, {0, 1, 0}, {1, 0, 0}},
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};
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SensorTestHelper.CompareObservation(specialSensor, expectedObs3D);
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}
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// Test that Dispose() cleans up the component and its sensors
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sensorComponent.Dispose();
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var flags = BindingFlags.Instance | BindingFlags.NonPublic;
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var componentSensors = (ISensor[])typeof(Match3SensorComponent).GetField("m_Sensors", flags).GetValue(sensorComponent);
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Assert.IsNull(componentSensors);
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var cellTexture = (Texture2D)typeof(Match3Sensor).GetField("m_ObservationTexture", flags).GetValue(cellSensor);
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Assert.IsNull(cellTexture);
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var specialTexture = (Texture2D)typeof(Match3Sensor).GetField("m_ObservationTexture", flags).GetValue(cellSensor);
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Assert.IsNull(specialTexture);
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}
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[TestCase(true, false, TestName = "Full Board, No Special")]
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[TestCase(false, false, TestName = "Small Board, No Special")]
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[TestCase(true, true, TestName = "Full Board, Special")]
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[TestCase(false, true, TestName = "Small Board, Special")]
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public void TestCompressedVisualObservationsSpecial(bool fullBoard, bool useSpecial)
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{
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var boardString =
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@"003
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000
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010";
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var specialString =
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@"014
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200
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000";
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var gameObj = new GameObject("board");
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var board = gameObj.AddComponent<StringBoard>();
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board.SetBoard(boardString);
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var paths = new List<string> { k_CellObservationPng };
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if (useSpecial)
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{
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board.SetSpecial(specialString);
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paths.Add(k_SpecialObservationPng);
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}
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if (!fullBoard)
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{
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// Shrink the board, and change the paths we're using for the ground truth PNGs
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board.CurrentRows = 2;
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board.CurrentColumns = 2;
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for (var i = 0; i < paths.Count; i++)
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{
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paths[i] = paths[i] + k_Suffix2x2;
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}
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}
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var sensorComponent = gameObj.AddComponent<Match3SensorComponent>();
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sensorComponent.ObservationType = Match3ObservationType.CompressedVisual;
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var sensors = sensorComponent.CreateSensors();
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var expectedNumChannels = new[] { 4, 5 };
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for (var i = 0; i < paths.Count; i++)
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{
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var sensor = sensors[i];
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var expectedShape = new InplaceArray<int>(3, 3, expectedNumChannels[i]);
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Assert.AreEqual(expectedShape, sensor.GetObservationSpec().Shape);
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Assert.AreEqual(SensorCompressionType.PNG, sensor.GetCompressionSpec().SensorCompressionType);
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var pngData = sensor.GetCompressedObservation();
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if (WritePNGDataToFile)
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{
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// Enable this if the format of the observation changes
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SavePNGs(pngData, paths[i]);
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}
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var expectedPng = LoadPNGs(paths[i], 2);
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Assert.AreEqual(expectedPng, pngData);
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}
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}
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/// <summary>
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/// Helper method for un-concatenating PNG observations.
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/// </summary>
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/// <param name="concatenated"></param>
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/// <returns></returns>
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List<byte[]> SplitPNGs(byte[] concatenated)
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{
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var pngsOut = new List<byte[]>();
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var pngHeader = new byte[] { 137, 80, 78, 71, 13, 10, 26, 10 };
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var current = new List<byte>();
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for (var i = 0; i < concatenated.Length; i++)
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{
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current.Add(concatenated[i]);
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// Check if the header starts at the next position
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// If so, we'll start a new output array.
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var headerIsNext = false;
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if (i + 1 < concatenated.Length - pngHeader.Length)
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{
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for (var j = 0; j < pngHeader.Length; j++)
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{
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if (concatenated[i + 1 + j] != pngHeader[j])
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{
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break;
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}
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if (j == pngHeader.Length - 1)
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{
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headerIsNext = true;
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}
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}
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}
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if (headerIsNext)
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{
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pngsOut.Add(current.ToArray());
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current = new List<byte>();
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}
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}
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pngsOut.Add(current.ToArray());
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return pngsOut;
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}
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void SavePNGs(byte[] concatenatedPngData, string pathPrefix)
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{
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var splitPngs = SplitPNGs(concatenatedPngData);
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for (var i = 0; i < splitPngs.Count; i++)
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{
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var pngData = splitPngs[i];
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var path = $"Packages/com.unity.ml-agents.extensions/Tests/Editor/Match3/{pathPrefix}{i}.png";
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using (var sw = File.Create(path))
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{
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foreach (var b in pngData)
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{
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sw.WriteByte(b);
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}
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}
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}
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}
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byte[] LoadPNGs(string pathPrefix, int numExpected)
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{
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var bytesOut = new List<byte>();
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for (var i = 0; i < numExpected; i++)
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{
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var path = $"Packages/com.unity.ml-agents.extensions/Tests/Editor/Match3/{pathPrefix}{i}.png";
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var res = File.ReadAllBytes(path);
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bytesOut.AddRange(res);
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}
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return bytesOut.ToArray();
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}
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}
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}
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