Java Code Examples for org.datavec.api.conf.Configuration#setInt()
The following examples show how to use
org.datavec.api.conf.Configuration#setInt() .
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Example 1
| Source File: LibSvmRecordWriterTest.java From DataVec with Apache License 2.0 | 6 votes |
|
@Test
public void testMultilabelRecord() throws Exception {
Configuration configWriter = new Configuration();
configWriter.setInt(LibSvmRecordWriter.FEATURE_FIRST_COLUMN, 0);
configWriter.setInt(LibSvmRecordWriter.FEATURE_LAST_COLUMN, 9);
configWriter.setBoolean(LibSvmRecordWriter.MULTILABEL, true);
Configuration configReader = new Configuration();
configReader.setInt(LibSvmRecordReader.NUM_FEATURES, 10);
configReader.setBoolean(LibSvmRecordReader.MULTILABEL, true);
configReader.setInt(LibSvmRecordReader.NUM_LABELS, 4);
configReader.setBoolean(LibSvmRecordReader.ZERO_BASED_INDEXING, false);
File inputFile = new ClassPathResource("svmlight/multilabel.txt").getFile();
executeTest(configWriter, configReader, inputFile);
}
Example 2
| Source File: TfidfRecordReaderTest.java From deeplearning4j with Apache License 2.0 | 6 votes |
|
@Test
public void testRecordMetaData() throws Exception {
TfidfVectorizer vectorizer = new TfidfVectorizer();
Configuration conf = new Configuration();
conf.setInt(TfidfVectorizer.MIN_WORD_FREQUENCY, 1);
conf.setBoolean(RecordReader.APPEND_LABEL, true);
vectorizer.initialize(conf);
TfidfRecordReader reader = new TfidfRecordReader();
File f = testDir.newFolder();
new ClassPathResource("datavec-data-nlp/labeled/").copyDirectory(f);
reader.initialize(conf, new FileSplit(f));
while (reader.hasNext()) {
Record record = reader.nextRecord();
assertNotNull(record.getMetaData().getURI());
assertEquals(record.getMetaData().getReaderClass(), TfidfRecordReader.class);
}
}
Example 3
| Source File: TfidfRecordReaderTest.java From DataVec with Apache License 2.0 | 6 votes |
|
@Test
public void testReadRecordFromMetaData() throws Exception {
TfidfVectorizer vectorizer = new TfidfVectorizer();
Configuration conf = new Configuration();
conf.setInt(TfidfVectorizer.MIN_WORD_FREQUENCY, 1);
conf.setBoolean(RecordReader.APPEND_LABEL, true);
vectorizer.initialize(conf);
TfidfRecordReader reader = new TfidfRecordReader();
reader.initialize(conf, new FileSplit(new ClassPathResource("labeled").getFile()));
Record record = reader.nextRecord();
Record reread = reader.loadFromMetaData(record.getMetaData());
assertEquals(record.getRecord().size(), 2);
assertEquals(reread.getRecord().size(), 2);
assertEquals(record.getRecord().get(0), reread.getRecord().get(0));
assertEquals(record.getRecord().get(1), reread.getRecord().get(1));
assertEquals(record.getMetaData(), reread.getMetaData());
}
Example 4
| Source File: TfidfRecordReaderTest.java From deeplearning4j with Apache License 2.0 | 6 votes |
|
@Test
public void testReadRecordFromMetaData() throws Exception {
TfidfVectorizer vectorizer = new TfidfVectorizer();
Configuration conf = new Configuration();
conf.setInt(TfidfVectorizer.MIN_WORD_FREQUENCY, 1);
conf.setBoolean(RecordReader.APPEND_LABEL, true);
vectorizer.initialize(conf);
TfidfRecordReader reader = new TfidfRecordReader();
File f = testDir.newFolder();
new ClassPathResource("datavec-data-nlp/labeled/").copyDirectory(f);
reader.initialize(conf, new FileSplit(f));
Record record = reader.nextRecord();
Record reread = reader.loadFromMetaData(record.getMetaData());
assertEquals(record.getRecord().size(), 2);
assertEquals(reread.getRecord().size(), 2);
assertEquals(record.getRecord().get(0), reread.getRecord().get(0));
assertEquals(record.getRecord().get(1), reread.getRecord().get(1));
assertEquals(record.getMetaData(), reread.getMetaData());
}
Example 5
| Source File: LibSvmRecordWriterTest.java From DataVec with Apache License 2.0 | 6 votes |
|
@Test(expected = NumberFormatException.class)
public void nonBinaryMultilabel() throws Exception {
List<Writable> record = Arrays.asList((Writable) new IntWritable(0),
new IntWritable(1),
new IntWritable(2));
File tempFile = File.createTempFile("LibSvmRecordWriter", ".txt");
tempFile.setWritable(true);
tempFile.deleteOnExit();
if (tempFile.exists())
tempFile.delete();
try (LibSvmRecordWriter writer = new LibSvmRecordWriter()) {
Configuration configWriter = new Configuration();
configWriter.setInt(LibSvmRecordWriter.FEATURE_FIRST_COLUMN,0);
configWriter.setInt(LibSvmRecordWriter.FEATURE_LAST_COLUMN,1);
configWriter.setBoolean(LibSvmRecordWriter.MULTILABEL,true);
FileSplit outputSplit = new FileSplit(tempFile);
writer.initialize(configWriter,outputSplit,new NumberOfRecordsPartitioner());
writer.write(record);
}
}
Example 6
| Source File: SVMLightRecordWriterTest.java From DataVec with Apache License 2.0 | 6 votes |
|
@Test
public void testNonIntegerButValidMultilabel() throws Exception {
List<Writable> record = Arrays.asList((Writable) new IntWritable(3),
new IntWritable(2),
new DoubleWritable(1.0));
File tempFile = File.createTempFile("SVMLightRecordWriter", ".txt");
tempFile.setWritable(true);
tempFile.deleteOnExit();
if (tempFile.exists())
tempFile.delete();
try (SVMLightRecordWriter writer = new SVMLightRecordWriter()) {
Configuration configWriter = new Configuration();
configWriter.setInt(SVMLightRecordWriter.FEATURE_FIRST_COLUMN, 0);
configWriter.setInt(SVMLightRecordWriter.FEATURE_LAST_COLUMN, 1);
configWriter.setBoolean(SVMLightRecordWriter.MULTILABEL, true);
FileSplit outputSplit = new FileSplit(tempFile);
writer.initialize(configWriter,outputSplit,new NumberOfRecordsPartitioner());
writer.write(record);
}
}
Example 7
| Source File: SVMLightRecordWriterTest.java From DataVec with Apache License 2.0 | 5 votes |
|
@Test
public void testNDArrayWritables() throws Exception {
INDArray arr2 = Nd4j.zeros(2);
arr2.putScalar(0, 11);
arr2.putScalar(1, 12);
INDArray arr3 = Nd4j.zeros(3);
arr3.putScalar(0, 13);
arr3.putScalar(1, 14);
arr3.putScalar(2, 15);
List<Writable> record = Arrays.asList((Writable) new DoubleWritable(1),
new NDArrayWritable(arr2),
new IntWritable(2),
new DoubleWritable(3),
new NDArrayWritable(arr3),
new IntWritable(4));
File tempFile = File.createTempFile("SVMLightRecordWriter", ".txt");
tempFile.setWritable(true);
tempFile.deleteOnExit();
if (tempFile.exists())
tempFile.delete();
String lineOriginal = "13.0,14.0,15.0,4 1:1.0 2:11.0 3:12.0 4:2.0 5:3.0";
try (SVMLightRecordWriter writer = new SVMLightRecordWriter()) {
Configuration configWriter = new Configuration();
configWriter.setInt(SVMLightRecordWriter.FEATURE_FIRST_COLUMN, 0);
configWriter.setInt(SVMLightRecordWriter.FEATURE_LAST_COLUMN, 3);
FileSplit outputSplit = new FileSplit(tempFile);
writer.initialize(configWriter,outputSplit,new NumberOfRecordsPartitioner());
writer.write(record);
}
String lineNew = FileUtils.readFileToString(tempFile).trim();
assertEquals(lineOriginal, lineNew);
}
Example 8
| Source File: SVMLightRecordReaderTest.java From DataVec with Apache License 2.0 | 5 votes |
|
@Test(expected = IndexOutOfBoundsException.class)
public void testLabelIndexExceedsNumLabels() throws Exception {
SVMLightRecordReader rr = new SVMLightRecordReader();
Configuration config = new Configuration();
config.setInt(SVMLightRecordReader.NUM_FEATURES, 10);
config.setInt(SVMLightRecordReader.NUM_LABELS, 6);
rr.initialize(config, new FileSplit(new ClassPathResource("svmlight/basic.txt").getFile()));
rr.next();
}
Example 9
| Source File: LibSvmRecordReaderTest.java From deeplearning4j with Apache License 2.0 | 5 votes |
|
@Test(expected = IndexOutOfBoundsException.class)
public void testLabelIndexExceedsNumLabels() throws Exception {
LibSvmRecordReader rr = new LibSvmRecordReader();
Configuration config = new Configuration();
config.setBoolean(LibSvmRecordReader.APPEND_LABEL, true);
config.setInt(LibSvmRecordReader.NUM_FEATURES, 10);
config.setInt(LibSvmRecordReader.NUM_LABELS, 6);
rr.initialize(config, new FileSplit(new ClassPathResource("datavec-api/svmlight/basic.txt").getFile()));
rr.next();
}
Example 10
| Source File: LibSvmRecordReaderTest.java From deeplearning4j with Apache License 2.0 | 5 votes |
|
@Test(expected = IndexOutOfBoundsException.class)
public void testFeatureIndexExceedsNumFeatures() throws Exception {
LibSvmRecordReader rr = new LibSvmRecordReader();
Configuration config = new Configuration();
config.setInt(LibSvmRecordReader.NUM_FEATURES, 9);
rr.initialize(config, new FileSplit(new ClassPathResource("datavec-api/svmlight/basic.txt").getFile()));
rr.next();
}
Example 11
| Source File: LibSvmRecordWriterTest.java From DataVec with Apache License 2.0 | 5 votes |
|
@Test
public void testNDArrayWritablesZeroIndex() throws Exception {
INDArray arr2 = Nd4j.zeros(2);
arr2.putScalar(0, 11);
arr2.putScalar(1, 12);
INDArray arr3 = Nd4j.zeros(3);
arr3.putScalar(0, 0);
arr3.putScalar(1, 1);
arr3.putScalar(2, 0);
List<Writable> record = Arrays.asList((Writable) new DoubleWritable(1),
new NDArrayWritable(arr2),
new IntWritable(2),
new DoubleWritable(3),
new NDArrayWritable(arr3),
new DoubleWritable(1));
File tempFile = File.createTempFile("LibSvmRecordWriter", ".txt");
tempFile.setWritable(true);
tempFile.deleteOnExit();
if (tempFile.exists())
tempFile.delete();
String lineOriginal = "1,3 0:1.0 1:11.0 2:12.0 3:2.0 4:3.0";
try (LibSvmRecordWriter writer = new LibSvmRecordWriter()) {
Configuration configWriter = new Configuration();
configWriter.setBoolean(LibSvmRecordWriter.ZERO_BASED_INDEXING, true); // NOT STANDARD!
configWriter.setBoolean(LibSvmRecordWriter.ZERO_BASED_LABEL_INDEXING, true); // NOT STANDARD!
configWriter.setBoolean(LibSvmRecordWriter.MULTILABEL, true);
configWriter.setInt(LibSvmRecordWriter.FEATURE_FIRST_COLUMN, 0);
configWriter.setInt(LibSvmRecordWriter.FEATURE_LAST_COLUMN, 3);
FileSplit outputSplit = new FileSplit(tempFile);
writer.initialize(configWriter,outputSplit,new NumberOfRecordsPartitioner());
writer.write(record);
}
String lineNew = FileUtils.readFileToString(tempFile).trim();
assertEquals(lineOriginal, lineNew);
}
Example 12
| Source File: LibSvmRecordReaderTest.java From deeplearning4j with Apache License 2.0 | 5 votes |
|
@Test
public void testBasicRecord() throws IOException, InterruptedException {
Map<Integer, List<Writable>> correct = new HashMap<>();
// 7 2:1 4:2 6:3 8:4 10:5
correct.put(0, Arrays.asList(ZERO, ONE,
ZERO, new DoubleWritable(2),
ZERO, new DoubleWritable(3),
ZERO, new DoubleWritable(4),
ZERO, new DoubleWritable(5),
new IntWritable(7)));
// 2 qid:42 1:0.1 2:2 6:6.6 8:80
correct.put(1, Arrays.asList(new DoubleWritable(0.1), new DoubleWritable(2),
ZERO, ZERO,
ZERO, new DoubleWritable(6.6),
ZERO, new DoubleWritable(80),
ZERO, ZERO,
new IntWritable(2)));
// 33
correct.put(2, Arrays.asList(ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
new IntWritable(33)));
LibSvmRecordReader rr = new LibSvmRecordReader();
Configuration config = new Configuration();
config.setBoolean(LibSvmRecordReader.ZERO_BASED_INDEXING, false);
config.setBoolean(LibSvmRecordReader.APPEND_LABEL, true);
config.setInt(LibSvmRecordReader.NUM_FEATURES, 10);
rr.initialize(config, new FileSplit(new ClassPathResource("datavec-api/svmlight/basic.txt").getFile()));
int i = 0;
while (rr.hasNext()) {
List<Writable> record = rr.next();
assertEquals(correct.get(i), record);
i++;
}
assertEquals(i, correct.size());
}
Example 13
| Source File: LibSvmRecordReaderTest.java From DataVec with Apache License 2.0 | 5 votes |
|
@Test(expected = IndexOutOfBoundsException.class)
public void testFeatureIndexExceedsNumFeatures() throws Exception {
LibSvmRecordReader rr = new LibSvmRecordReader();
Configuration config = new Configuration();
config.setInt(LibSvmRecordReader.NUM_FEATURES, 9);
rr.initialize(config, new FileSplit(new ClassPathResource("svmlight/basic.txt").getFile()));
rr.next();
}
Example 14
| Source File: SVMLightRecordReaderTest.java From deeplearning4j with Apache License 2.0 | 5 votes |
|
@Test(expected = IndexOutOfBoundsException.class)
public void testLabelIndexExceedsNumLabels() throws Exception {
SVMLightRecordReader rr = new SVMLightRecordReader();
Configuration config = new Configuration();
config.setInt(SVMLightRecordReader.NUM_FEATURES, 10);
config.setInt(SVMLightRecordReader.NUM_LABELS, 6);
rr.initialize(config, new FileSplit(new ClassPathResource("datavec-api/svmlight/basic.txt").getFile()));
rr.next();
}
Example 15
| Source File: SVMLightRecordReaderTest.java From deeplearning4j with Apache License 2.0 | 5 votes |
|
@Test
public void testBasicRecord() throws IOException, InterruptedException {
Map<Integer, List<Writable>> correct = new HashMap<>();
// 7 2:1 4:2 6:3 8:4 10:5
correct.put(0, Arrays.asList(ZERO, ONE,
ZERO, new DoubleWritable(2),
ZERO, new DoubleWritable(3),
ZERO, new DoubleWritable(4),
ZERO, new DoubleWritable(5),
new IntWritable(7)));
// 2 qid:42 1:0.1 2:2 6:6.6 8:80
correct.put(1, Arrays.asList(new DoubleWritable(0.1), new DoubleWritable(2),
ZERO, ZERO,
ZERO, new DoubleWritable(6.6),
ZERO, new DoubleWritable(80),
ZERO, ZERO,
new IntWritable(2)));
// 33
correct.put(2, Arrays.asList(ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
new IntWritable(33)));
SVMLightRecordReader rr = new SVMLightRecordReader();
Configuration config = new Configuration();
config.setBoolean(SVMLightRecordReader.ZERO_BASED_INDEXING, false);
config.setInt(SVMLightRecordReader.NUM_FEATURES, 10);
rr.initialize(config, new FileSplit(new ClassPathResource("datavec-api/svmlight/basic.txt").getFile()));
int i = 0;
while (rr.hasNext()) {
List<Writable> record = rr.next();
assertEquals(correct.get(i), record);
i++;
}
assertEquals(i, correct.size());
}
Example 16
| Source File: JDBCRecordReaderTest.java From deeplearning4j with Apache License 2.0 | 5 votes |
|
@Test(expected = RuntimeException.class)
public void testResetForwardOnlyShouldFail() throws Exception {
try (JDBCRecordReader reader = new JDBCRecordReader("SELECT * FROM Coffee", dataSource)) {
Configuration conf = new Configuration();
conf.setInt(JDBCRecordReader.JDBC_RESULTSET_TYPE, ResultSet.TYPE_FORWARD_ONLY);
reader.initialize(conf, null);
reader.next();
reader.reset();
}
}
Example 17
| Source File: LibSvmRecordReaderTest.java From DataVec with Apache License 2.0 | 5 votes |
|
@Test(expected = NoSuchElementException.class)
public void testNoSuchElementException() throws Exception {
LibSvmRecordReader rr = new LibSvmRecordReader();
Configuration config = new Configuration();
config.setInt(LibSvmRecordReader.NUM_FEATURES, 11);
rr.initialize(config, new FileSplit(new ClassPathResource("svmlight/basic.txt").getFile()));
while (rr.hasNext())
rr.next();
rr.next();
}
Example 18
| Source File: SVMLightRecordReaderTest.java From deeplearning4j with Apache License 2.0 | 4 votes |
|
@Test
public void testZeroBasedIndexing() throws IOException, InterruptedException {
Map<Integer, List<Writable>> correct = new HashMap<>();
// 1,3 2:1 4:2 6:3 8:4 10:5
correct.put(0, Arrays.asList(ZERO,
ZERO, ONE,
ZERO, new DoubleWritable(2),
ZERO, new DoubleWritable(3),
ZERO, new DoubleWritable(4),
ZERO, new DoubleWritable(5),
LABEL_ZERO,
LABEL_ONE, LABEL_ZERO,
LABEL_ONE, LABEL_ZERO));
// 2 qid:42 1:0.1 2:2 6:6.6 8:80
correct.put(1, Arrays.asList(ZERO,
new DoubleWritable(0.1), new DoubleWritable(2),
ZERO, ZERO,
ZERO, new DoubleWritable(6.6),
ZERO, new DoubleWritable(80),
ZERO, ZERO,
LABEL_ZERO,
LABEL_ZERO, LABEL_ONE,
LABEL_ZERO, LABEL_ZERO));
// 1,2,4
correct.put(2, Arrays.asList(ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
LABEL_ZERO,
LABEL_ONE, LABEL_ONE,
LABEL_ZERO, LABEL_ONE));
// 1:1.0
correct.put(3, Arrays.asList(ZERO,
new DoubleWritable(1.0), ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
LABEL_ZERO,
LABEL_ZERO, LABEL_ZERO,
LABEL_ZERO, LABEL_ZERO));
//
correct.put(4, Arrays.asList(ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
LABEL_ZERO,
LABEL_ZERO, LABEL_ZERO,
LABEL_ZERO, LABEL_ZERO));
SVMLightRecordReader rr = new SVMLightRecordReader();
Configuration config = new Configuration();
// Zero-based indexing is default
config.setBoolean(SVMLightRecordReader.ZERO_BASED_LABEL_INDEXING, true); // NOT STANDARD!
config.setInt(SVMLightRecordReader.NUM_FEATURES, 11);
config.setBoolean(SVMLightRecordReader.MULTILABEL, true);
config.setInt(SVMLightRecordReader.NUM_LABELS, 5);
rr.initialize(config, new FileSplit(new ClassPathResource("datavec-api/svmlight/multilabel.txt").getFile()));
int i = 0;
while (rr.hasNext()) {
List<Writable> record = rr.next();
assertEquals(correct.get(i), record);
i++;
}
assertEquals(i, correct.size());
}
Example 19
| Source File: SVMLightRecordReaderTest.java From DataVec with Apache License 2.0 | 4 votes |
|
@Test
public void testNoLabel() throws IOException, InterruptedException {
Map<Integer, List<Writable>> correct = new HashMap<>();
// 2:1 4:2 6:3 8:4 10:5
correct.put(0, Arrays.asList(ZERO, ONE,
ZERO, new DoubleWritable(2),
ZERO, new DoubleWritable(3),
ZERO, new DoubleWritable(4),
ZERO, new DoubleWritable(5)));
// qid:42 1:0.1 2:2 6:6.6 8:80
correct.put(1, Arrays.asList(new DoubleWritable(0.1), new DoubleWritable(2),
ZERO, ZERO,
ZERO, new DoubleWritable(6.6),
ZERO, new DoubleWritable(80),
ZERO, ZERO));
// 1:1.0
correct.put(2, Arrays.asList(new DoubleWritable(1.0), ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO));
//
correct.put(3, Arrays.asList(ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO));
SVMLightRecordReader rr = new SVMLightRecordReader();
Configuration config = new Configuration();
config.setBoolean(SVMLightRecordReader.ZERO_BASED_INDEXING, false);
config.setInt(SVMLightRecordReader.NUM_FEATURES, 10);
config.setBoolean(SVMLightRecordReader.APPEND_LABEL, true);
rr.initialize(config, new FileSplit(new ClassPathResource("svmlight/noLabels.txt").getFile()));
int i = 0;
while (rr.hasNext()) {
List<Writable> record = rr.next();
assertEquals(correct.get(i), record);
i++;
}
assertEquals(i, correct.size());
}
Example 20
| Source File: LibSvmRecordReaderTest.java From DataVec with Apache License 2.0 | 4 votes |
|
@Test
public void testMultilabelRecord() throws IOException, InterruptedException {
Map<Integer, List<Writable>> correct = new HashMap<>();
// 1,3 2:1 4:2 6:3 8:4 10:5
correct.put(0, Arrays.asList(ZERO, ONE,
ZERO, new DoubleWritable(2),
ZERO, new DoubleWritable(3),
ZERO, new DoubleWritable(4),
ZERO, new DoubleWritable(5),
LABEL_ONE, LABEL_ZERO,
LABEL_ONE, LABEL_ZERO));
// 2 qid:42 1:0.1 2:2 6:6.6 8:80
correct.put(1, Arrays.asList(new DoubleWritable(0.1), new DoubleWritable(2),
ZERO, ZERO,
ZERO, new DoubleWritable(6.6),
ZERO, new DoubleWritable(80),
ZERO, ZERO,
LABEL_ZERO, LABEL_ONE,
LABEL_ZERO, LABEL_ZERO));
// 1,2,4
correct.put(2, Arrays.asList(ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
LABEL_ONE, LABEL_ONE,
LABEL_ZERO, LABEL_ONE));
// 1:1.0
correct.put(3, Arrays.asList(new DoubleWritable(1.0), ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
LABEL_ZERO, LABEL_ZERO,
LABEL_ZERO, LABEL_ZERO));
//
correct.put(4, Arrays.asList(ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
ZERO, ZERO,
LABEL_ZERO, LABEL_ZERO,
LABEL_ZERO, LABEL_ZERO));
LibSvmRecordReader rr = new LibSvmRecordReader();
Configuration config = new Configuration();
config.setBoolean(LibSvmRecordReader.ZERO_BASED_INDEXING, false);
config.setBoolean(LibSvmRecordReader.APPEND_LABEL, true);
config.setInt(LibSvmRecordReader.NUM_FEATURES, 10);
config.setBoolean(LibSvmRecordReader.MULTILABEL, true);
config.setInt(LibSvmRecordReader.NUM_LABELS, 4);
rr.initialize(config, new FileSplit(new ClassPathResource("svmlight/multilabel.txt").getFile()));
int i = 0;
while (rr.hasNext()) {
List<Writable> record = rr.next();
assertEquals(correct.get(i), record);
i++;
}
assertEquals(i, correct.size());
}
