com.cedarsoftware.util.DeepEquals Java Examples

@Test
public void testUpdateAfterSetLeafNodeWorks() throws InterruptedException {
  DatabaseReference ref = IntegrationTestUtils.getRandomNode(masterApp);
  final Semaphore semaphore = new Semaphore(0);
  final Map<String, Object> expected = new MapBuilder().put("a", 1L).put("b", 2L).build();

  ref.addValueEventListener(new ValueEventListener() {
    @Override
    public void onDataChange(DataSnapshot snapshot) {
      if (DeepEquals.deepEquals(snapshot.getValue(), expected)) {
        semaphore.release();
      }
    }

    @Override
    public void onCancelled(DatabaseError error) {
    }
  });
  ref.setValueAsync(42);
  ref.updateChildrenAsync(expected);

  TestHelpers.waitFor(semaphore);
}
 

public void add(final Query query, final Object expected) {
  count++;
  ValueEventListener listener =
      query.addValueEventListener(
          new ValueEventListener() {
            @Override
            public void onDataChange(DataSnapshot snapshot) {
              Object result = snapshot.getValue();
              // Hack to handle race condition in initial data
              if (DeepEquals.deepEquals(expected, result)) {
                // We may pass through intermediate states, but we should end up with
                // the correct
                // state
                semaphore.release(1);
              }
            }

            @Override
            public void onCancelled(DatabaseError error) {
              fail("Listen cancelled");
            }
          });
  expectations.add(new QueryAndListener(query, listener));
}
 

@Test
public void testSerializeObservableSensor() {
    PublisherSupplier supplier = PublisherSupplier.builder()
        .addHeader("dayOfWeek")
        .addHeader("darr")
        .addHeader("B").build();
    
    ObservableSensor<String[]> oSensor = new ObservableSensor<>(SensorParams.create(Keys::obs, new Object[] {"name", supplier}));
    
    SerialConfig config = new SerialConfig("testSerializeObservableSensor", SerialConfig.SERIAL_TEST_DIR);
    PersistenceAPI api = Persistence.get(config);
    
    byte[] bytes = api.write(oSensor);
    ObservableSensor<String[]> serializedOSensor = api.read(bytes);
    
    boolean b = DeepEquals.deepEquals(serializedOSensor, oSensor);
    deepCompare(serializedOSensor, oSensor);
    assertTrue(b);
}
 

@Test
public void testHTMSensor_HotGym() {
    Object[] n = { "some name", ResourceLocator.path("rec-center-hourly-small.csv") };
    HTMSensor<File> sensor = (HTMSensor<File>)Sensor.create(
        FileSensor::create, SensorParams.create(Keys::path, n));
    
    sensor.initEncoder(getTestEncoderParams());
    
    SerialConfig config = new SerialConfig("testHTMSensor_HotGym");
    PersistenceAPI api = Persistence.get(config);
    
    byte[] bytes = api.write(sensor);
    assertNotNull(bytes);
    assertTrue(bytes.length > 0);
    HTMSensor<File> serializedSensor = api.read(bytes);
    
    boolean b = DeepEquals.deepEquals(serializedSensor, sensor);
    deepCompare(serializedSensor, sensor);
    assertTrue(b);
}
 

@Test
public void testHTMSensor_DaysOfWeek() {
    Object[] n = { "some name", ResourceLocator.path("days-of-week.csv") };
    HTMSensor<File> sensor = (HTMSensor<File>)Sensor.create(
        FileSensor::create, SensorParams.create(Keys::path, n));

    Parameters p = getParameters();
    p = p.union(NetworkTestHarness.getDayDemoTestEncoderParams());
    sensor.initEncoder(p);

    SerialConfig config = new SerialConfig("testHTMSensor_DaysOfWeek", SerialConfig.SERIAL_TEST_DIR);
    PersistenceAPI api = Persistence.get(config);
    
    byte[] bytes = api.write(sensor);
    HTMSensor<File> serializedSensor = api.read(bytes);

    boolean b = DeepEquals.deepEquals(serializedSensor, sensor);
    deepCompare(serializedSensor, sensor);
    assertTrue(b);
}
 

@Test
public void testThreadedPublisher_SpatialPoolerNetwork() {
    Network network = createAndRunTestSpatialPoolerNetwork(0, 6);
    Layer<?> l = network.lookup("r1").lookup("1");
    Connections cn = l.getConnections();
    
    SerialConfig config = new SerialConfig("testThreadedPublisher_SpatialPoolerNetwork", SerialConfig.SERIAL_TEST_DIR);
    PersistenceAPI api = Persistence.get(config);
    
    byte[] bytes = api.write(cn);
    //Serialize above Connections for comparison with same run but unserialized below...
    Connections serializedConnections = api.read(bytes);
    
    Network network2 = createAndRunTestSpatialPoolerNetwork(0, 6);
    Layer<?> l2 = network2.lookup("r1").lookup("1");
    Connections newCons = l2.getConnections();
    
    //Compare the two Connections (both serialized and regular runs) - should be equal
    boolean b = DeepEquals.deepEquals(newCons, serializedConnections);
    deepCompare(newCons, serializedConnections);
    assertTrue(b);
}
 

@AfterClass
public static void compare() {
    System.out.println("USING SAMPLE #: " + SAMPLE_WEEK);
    assertEquals(napiSamples.size(), simpleSamples.size());
    
    if(doPrintout) {
        System.out.println("\n--------------------------------");
        for(Iterator<SampleWeek> it = simpleSamples.iterator(), it2 = napiSamples.iterator();it.hasNext() && it2.hasNext();) {
            SampleWeek sw1 = it.next();
            SampleWeek sw2 = it2.next();
            System.out.println("Seq#: " + sw1.seqNum + " - " + sw2.seqNum);
            System.out.println("Encoder: " + Arrays.toString(sw1.encoderOut) + " - " + Arrays.toString(sw2.encoderOut));
            System.out.println("SP: " + Arrays.toString(sw1.spOut) + " - " + Arrays.toString(sw2.spOut));
            System.out.println("TM (in): " + Arrays.toString(sw1.tmIn) + " - " + Arrays.toString(sw2.tmIn));
            System.out.println("TM (pred. cols): " + Arrays.toString(sw1.tmPred) + " - " + Arrays.toString(sw2.tmPred));
            System.out.println("TM (Active Cells): " + Arrays.toString(sw1.activeCells) + " - " + Arrays.toString(sw2.activeCells));
            System.out.println("TM (Predictive Cells): " + Arrays.toString(sw1.predictiveCells) + " - " + Arrays.toString(sw2.predictiveCells));
            System.out.println("Anomaly Score: " + sw1.score + " - " + sw2.score);
            System.out.println("");
        }
    }
    assertTrue(DeepEquals.deepEquals(simpleSamples, napiSamples));
}
 

@Test
public void testThreadedPublisher_TemporalMemoryNetwork() {
    Network network = createAndRunTestTemporalMemoryNetwork();
    Layer<?> l = network.lookup("r1").lookup("1");
    Connections cn = l.getConnections();
    
    SerialConfig config = new SerialConfig("testThreadedPublisher_TemporalMemoryNetwork", SerialConfig.SERIAL_TEST_DIR);
    PersistenceAPI api = Persistence.get(config);
    
    byte[] bytes = api.write(cn);
    Connections serializedConnections = api.read(bytes);
    
    Network network2 = createAndRunTestTemporalMemoryNetwork();
    Layer<?> l2 = network2.lookup("r1").lookup("1");
    Connections newCons = l2.getConnections();
    
    boolean b = DeepEquals.deepEquals(newCons, serializedConnections);
    deepCompare(newCons, serializedConnections);
    assertTrue(b);
}
 

/**
 * Creates a synapse over the synapses per segment limit, and verifies
 * that the lowest permanence synapse is removed to make room for the new
 * synapse.
 */
@Test
public void testSynapseReuse() {
    Parameters retVal = Parameters.getTemporalDefaultParameters();
    retVal.set(KEY.COLUMN_DIMENSIONS, new int[] { 32 });
    retVal.set(KEY.CELLS_PER_COLUMN, 4);
    retVal.set(KEY.MAX_SYNAPSES_PER_SEGMENT, 2);

    Connections connections = new Connections();

    retVal.apply(connections);
    TemporalMemory.init(connections);

    Cell cell10 = connections.getCell(10);
    DistalDendrite segment1 = connections.createSegment(cell10);
    Synapse synapse1 = connections.createSynapse(segment1, connections.getCell(50), 0.34);
    Synapse synapse2 = connections.createSynapse(segment1, connections.getCell(51), 0.48);

    assertTrue(DeepEquals.deepEquals(
        Arrays.asList(synapse1, synapse2), connections.getSynapses(segment1)));

    // Add an additional synapse to force it over the limit of num synapses
    // per segment.
    connections.createSynapse(segment1, connections.getCell(52), .52);
    
    // Ensure lower permanence synapse was removed.
    Set<Cell> expected = IntStream.range(51, 53).mapToObj(i -> connections.getCell(i)).collect(Collectors.toSet());
    assertTrue(DeepEquals.deepEquals(expected, 
        connections.getSynapses(segment1)
            .stream()
            .map(s -> s.getPresynapticCell())
            .collect(Collectors.toSet())));
}
 

@Test
public void testCopy() {
    Parameters retVal = Parameters.getTemporalDefaultParameters();
    retVal.set(KEY.COLUMN_DIMENSIONS, new int[] { 32 });
    retVal.set(KEY.CELLS_PER_COLUMN, 4);

    Connections connections = new Connections();

    retVal.apply(connections);
    TemporalMemory.init(connections);

    assertTrue(DeepEquals.deepEquals(connections, connections.copy()));
}
 

@Test
public void testSegmentPositionForSortKey() {
    Parameters retVal = Parameters.getTemporalDefaultParameters();
    retVal.set(KEY.COLUMN_DIMENSIONS, new int[] { 32 });
    retVal.set(KEY.CELLS_PER_COLUMN, 4);

    Connections connections = new Connections();

    retVal.apply(connections);
    TemporalMemory.init(connections);
    
    Cell cell10 = connections.getCell(10);
    DistalDendrite segment0 = connections.createSegment(cell10);
    
    Cell cell9 = connections.getCell(9);
    DistalDendrite segment1 = connections.createSegment(cell9);
    
    Cell cell11 = connections.getCell(11);
    DistalDendrite segment2 = connections.createSegment(cell11);
    DistalDendrite segment3 = connections.createSegment(cell11);
    DistalDendrite segment4 = connections.createSegment(cell11);
   
    List<DistalDendrite> expected = Arrays.asList(segment1, segment0, segment2, segment3, segment4);
    List<DistalDendrite> segments = Arrays.asList(segment3, segment2, segment0, segment4, segment1);
    assertFalse(DeepEquals.deepEquals(expected, segments));
    
    Collections.sort(segments, connections.segmentPositionSortKey);
    assertTrue(DeepEquals.deepEquals(expected, segments));
}
 

private void deepCompare(Object obj1, Object obj2) {
    try {
        assertTrue(DeepEquals.deepEquals(obj1, obj2));
        System.out.println("expected(" + obj1.getClass().getSimpleName() + "): " + obj1 + " actual: (" + obj1.getClass().getSimpleName() + "): " + obj2);
    }catch(AssertionError ae) {
        System.out.println("expected(" + obj1.getClass().getSimpleName() + "): " + obj1 + " but was: (" + obj1.getClass().getSimpleName() + "): " + obj2);
    }
}
 

@Override
public int hashCode() {
	final int prime = 31;
	int result = 1;
	result = prime * result
			+ ((backingList == null) ? 0 : DeepEquals.deepHashCode(backingList));
	result = prime * result + capacity;
	result = prime * result + currentSize;
	return result;
}
 

/**
 * Usage of {@link DeepEquals} in order to ensure the same hashcode
 * for the same equal content regardless of cycles.
 */
@Override
public int hashCode() {
    Random rnd = (Random)paramMap.remove(KEY.RANDOM);
    int hc = DeepEquals.deepHashCode(paramMap);
    paramMap.put(KEY.RANDOM, rnd);
    
    return  hc;
    
}
 

@Override
public boolean equals(Object o) {
    if (this == o) return true;
    if (o == null || getClass() != o.getClass()) return false;
    DatabaseConfig that = (DatabaseConfig) o;
    return tmpfsEnabled == that.tmpfsEnabled &&
            Objects.equals(dockerImage, that.dockerImage) &&
            Objects.equals(tmpfsOptions, that.tmpfsOptions) &&
            Objects.equals(initdbProperties, that.initdbProperties) &&
            Objects.equals(configProperties, that.configProperties) &&
            DeepEquals.deepEquals(customizers, that.customizers);
}
 

private void assertToken(String token, String expectedToken, Map<String, Object> expectedAuth)
    throws IOException {
  assertTrue(token.startsWith("gauth|"));
  String jsonString = token.substring(6);
  Map<String, Object> map = JsonMapper.parseJson(jsonString);

  assertEquals(expectedToken, map.get("token"));

  Map<String, Object> auth = (Map)map.get("auth");
  DeepEquals.deepEquals(expectedAuth, auth);
}
 

@Test
public void testWriteRead() {
    // Create two classifiers, so one can be serialized and tested against the other
    SDRClassifier c1 = new SDRClassifier(new TIntArrayList(new int[] { 1 }), 0.1, 0.1, 0);
    SDRClassifier c2 = new SDRClassifier(new TIntArrayList(new int[] { 1 }), 0.1, 0.1, 0);

    // Create input vectors A, B, and C (int[] of active bit indices from below)
    int[] inputA = new int[] { 1, 5, 9 };
    int[] inputB = new int[] { 2, 4, 6 };
    int[] inputC = new int[] { 3, 5, 7 };

    // Create classification Map
    Map<String, Object> classification = new HashMap<>();

    // Have both classifiers process input A
    classification.put("bucketIdx", 0);
    classification.put("actValue", "A");
    Classification<String> result1 = c1.compute(0, classification, inputA, true, true);
    Classification<String> result2 = c2.compute(0, classification, inputA, true, true);

    // Compare results, should be equal
    assertArrayEquals(result1.getStats(1), result2.getStats(1), 0.0);
    assertArrayEquals(result1.getActualValues(), result2.getActualValues());

    // Serialize classifier #2
    SerialConfig config = new SerialConfig("testSerializeSDRClassifier", SerialConfig.SERIAL_TEST_DIR);
    PersistenceAPI api = Persistence.get(config);
    byte[] data = api.write(c2);

    // Deserialize classifier #2 into new reference.
    SDRClassifier reifiedC2 = api.read(data);

    // Make sure it isn't null...
    assertNotNull(reifiedC2);

    // Make sure pre- and post-serialization classifiers are identical
    assertTrue(DeepEquals.deepEquals(c2, reifiedC2));

    // Have the non-serialized classifier and the deserialized classifier
    // process input B.
    classification.put("bucketIdx", 1);
    classification.put("actValue", "B");
    result1 = c1.compute(0, classification, inputB, true, true);
    result2 = reifiedC2.compute(0, classification, inputB, true, true);

    // Compare the results. Make sure (de)serialization hasn't
    // messed up classifier #2.
    assertArrayEquals(result1.getStats(1), result2.getStats(1), 0.0);
    assertArrayEquals(result1.getActualValues(), result2.getActualValues());

    // Process input C - just to be safe...
    classification.put("bucketIdx", 2);
    classification.put("actValue", "C");
    result1 = c1.compute(0, classification, inputC, true, true);
    result2 = reifiedC2.compute(0, classification, inputC, true, true);

    // Compare results
    assertArrayEquals(result1.getStats(1), result2.getStats(1), 0.0);
    assertArrayEquals(result1.getActualValues(), result2.getActualValues());
}
 

public boolean cmp(Value o) {
    return DeepEquals.deepEquals(this, o);
}
 

public boolean cmp(Value o) {
    return DeepEquals.deepEquals(this, o);
}
 

@Test
public void testRlpDecode() {
	int pos = 0;
	String emptyString;
	byte[] decodedData;
	Object[] decodedList;

       emptyString =  (String)RLP.decode(Hex.decode(result01), pos).getDecoded();
	assertEquals("", emptyString);

       emptyString =  (String)RLP.decode(Hex.decode(result02), pos).getDecoded();
	assertEquals(test02, emptyString);

	decodedData = (byte[]) RLP.decode(Hex.decode(result03), pos).getDecoded();
	assertEquals(test03, bytesToAscii(decodedData));
	
	decodedData = (byte[]) RLP.decode(Hex.decode(result04), pos).getDecoded();
	assertEquals(test04, bytesToAscii(decodedData));
	
	decodedData = (byte[]) RLP.decode(Hex.decode(result05), pos).getDecoded();
	assertEquals(test05, bytesToAscii(decodedData));
	
	decodedList = (Object[]) RLP.decode(Hex.decode(result06), pos).getDecoded();
	assertEquals(test06[0], bytesToAscii((byte[]) decodedList[0]));
	assertEquals(test06[1], bytesToAscii((byte[]) decodedList[1]));
	
	decodedList = (Object[]) RLP.decode(Hex.decode(result07), pos).getDecoded();
	assertEquals(test07[0], bytesToAscii((byte[]) decodedList[0]));
	assertEquals(test07[1], bytesToAscii((byte[]) decodedList[1]));
	assertEquals(test07[2], bytesToAscii((byte[]) decodedList[2]));
	
	// 1
	decodedData = (byte[]) RLP.decode(Hex.decode(result08), pos).getDecoded();
	assertEquals(test08, byteArrayToInt(decodedData));

	// 10
	decodedData = (byte[]) RLP.decode(Hex.decode(result09), pos).getDecoded();
	assertEquals(test09, byteArrayToInt(decodedData));

	// 100
	decodedData = (byte[]) RLP.decode(Hex.decode(result10), pos).getDecoded();
	assertEquals(test10, byteArrayToInt(decodedData));

	// 1000 
	decodedData = (byte[]) RLP.decode(Hex.decode(result11), pos).getDecoded();
	assertEquals(test11, byteArrayToInt(decodedData));
	
	decodedData = (byte[]) RLP.decode(Hex.decode(result12), pos).getDecoded();
	assertTrue(test12.compareTo(new BigInteger(1, decodedData)) == 0);
	
	decodedData = (byte[]) RLP.decode(Hex.decode(result13), pos).getDecoded();
	assertTrue(test13.compareTo(new BigInteger(1, decodedData)) == 0);
	
	// Need to test with different expected value, because decoding doesn't recognize types
	Object testObject1 = RLP.decode(Hex.decode(result14), pos).getDecoded();
	assertTrue(DeepEquals.deepEquals(expected14, testObject1));
	
	Object testObject2 = RLP.decode(Hex.decode(result15), pos).getDecoded();
	assertTrue(DeepEquals.deepEquals(test15, testObject2));
	
	// Need to test with different expected value, because decoding doesn't recognize types
	Object testObject3 = RLP.decode(Hex.decode(result16), pos).getDecoded();
	assertTrue(DeepEquals.deepEquals(expected16, testObject3));
}
 

@Test
public void testCreateSegmentReuse() {
    Parameters retVal = Parameters.getTemporalDefaultParameters();
    retVal.set(KEY.COLUMN_DIMENSIONS, new int[] { 32 });
    retVal.set(KEY.CELLS_PER_COLUMN, 4);
    retVal.set(KEY.MAX_SEGMENTS_PER_CELL, 2);

    Connections connections = new Connections();

    retVal.apply(connections);
    TemporalMemory.init(connections);

    Cell cell42 = connections.getCell(42);
    Cell cell1 = connections.getCell(1);
    Cell cell2 = connections.getCell(2);
    DistalDendrite segment1 = connections.createSegment(cell42);
    connections.createSynapse(segment1, cell1, 0.5);
    connections.createSynapse(segment1, cell2, 0.5);

    // Let some time pass
    connections.startNewIteration();
    connections.startNewIteration();
    connections.startNewIteration();

    // Create a segment with 3 synapses.
    Cell cell3 = connections.getCell(3);
    DistalDendrite segment2 = connections.createSegment(cell42);
    connections.createSynapse(segment2, cell1, 0.5);
    connections.createSynapse(segment2, cell2, 0.5);
    connections.createSynapse(segment2, cell3, 0.5);
    connections.startNewIteration();

    // Give the first segment some activity.
    connections.recordSegmentActivity(segment1);

    // Create a new segment with 1 synapse.
    DistalDendrite segment3 = connections.createSegment(cell42);
    connections.createSynapse(segment3, cell1, 0.5);

    List<DistalDendrite> segments = connections.getSegments(cell42);
    assertEquals(2, segments.size());

    // Verify first segment is there with same synapses.
    Set<Cell> expected = IntStream.range(1, 3).mapToObj(i -> connections.getCell(i)).collect(Collectors.toSet());
    assertTrue(DeepEquals.deepEquals(expected, 
        connections.getSynapses(segments.get(0))
            .stream()
            .map(s -> s.getPresynapticCell())
            .collect(Collectors.toSet())));

    // Verify second segment has been replaced.
    expected = IntStream.range(1, 2).mapToObj(i -> connections.getCell(i)).collect(Collectors.toSet());
    System.out.println("expected = " + expected);
    System.out.println("actual = " + connections.getSynapses(segments.get(1))
        .stream()
        .map(s -> s.getPresynapticCell())
        .collect(Collectors.toSet()));

    assertTrue(DeepEquals.deepEquals(expected, 
        connections.getSynapses(segments.get(1))
            .stream()
            .map(s -> s.getPresynapticCell())
            .collect(Collectors.toSet())));

    // Verify the flatIdxs were properly reused.
    assertTrue(segment1.getIndex() < 2);
    assertTrue(segment3.getIndex() < 2);
    assertEquals(segment1, connections.segmentForFlatIdx(segment1.getIndex()));
    assertEquals(segment3, connections.segmentForFlatIdx(segment3.getIndex()));
}
 

/**
 * This implementation skips over any native comparisons (i.e. "==")
 * because their hashcodes will not be equal.
 */
@Override
public boolean equals(Object obj) {
    if(this == obj)
        return true;
    if(obj == null)
        return false;
    if(getClass() != obj.getClass())
        return false;
    Parameters other = (Parameters)obj;
    if(paramMap == null) {
        if(other.paramMap != null)
            return false;
    } else {
        Class<?>[] classArray = new Class[] { Object.class };
        try {
            for(KEY key : paramMap.keySet()) {
                if(paramMap.get(key) == null || other.paramMap.get(key) == null) continue;
                
                Class<?> thisValueClass = paramMap.get(key).getClass();
                Class<?> otherValueClass = other.paramMap.get(key).getClass();
                boolean isSpecial = isSpecial(key, thisValueClass);
                if(!isSpecial && (thisValueClass.getMethod("equals", classArray).getDeclaringClass() != thisValueClass ||
                    otherValueClass.getMethod("equals", classArray).getDeclaringClass() != otherValueClass)) {
                        continue;
                }else if(isSpecial) {
                    if(int[].class.isAssignableFrom(thisValueClass)) {
                        if(!Arrays.equals((int[])paramMap.get(key), (int[])other.paramMap.get(key))) return false;
                    }else if(key == KEY.FIELD_ENCODING_MAP) {
                        if(!DeepEquals.deepEquals(paramMap.get(key), other.paramMap.get(key))) {
                            return false;
                        }
                    }
                }else if(!other.paramMap.containsKey(key) || !paramMap.get(key).equals(other.paramMap.get(key))) {
                    return false;
                }
            }
        }catch(Exception e) { return false; }
    }
    return true;
}
 

@Override
public int hashCode() {
    int result = Objects.hash(dockerImage, tmpfsOptions, tmpfsEnabled, initdbProperties, configProperties);
    result = 31 * result + DeepEquals.deepHashCode(customizers);
    return result;
}
 

public boolean cmp(Value o) {
    return DeepEquals.deepEquals(this, o);
}