idx
int64
0
165k
question
stringlengths
73
4.15k
target
stringlengths
5
918
len_question
int64
21
890
len_target
int64
3
255
157,500
private void format ( NumberFormat nf , StringBuilder buffer , double value , int maxIntegerDigits ) { if ( value >= 0 ) { buffer . append ( " + " ) ; } else { buffer . append ( " - " ) ; } int digits = maxIntegerDigits - integerDigits ( value ) ; for ( int d = 0 ; d < digits ; d ++ ) { buffer . append ( ' ' ) ; } buff...
Helper method for output of equations and solution . Appends the specified double value to the given string buffer according the number format and the maximum number of integer digits .
110
32
157,501
protected ArrayModifiableDBIDs initialMedoids ( DistanceQuery < V > distQ , DBIDs ids ) { if ( getLogger ( ) . isStatistics ( ) ) { getLogger ( ) . statistics ( new StringStatistic ( getClass ( ) . getName ( ) + ".initialization" , initializer . toString ( ) ) ) ; } Duration initd = getLogger ( ) . newDuration ( getCla...
Choose the initial medoids .
221
6
157,502
public int getTotalClusterCount ( ) { int clusterCount = 0 ; for ( int i = 0 ; i < numclusters . length ; i ++ ) { clusterCount += numclusters [ i ] ; } return clusterCount ; }
Return the sum of all clusters
51
6
157,503
public int getHighestClusterCount ( ) { int maxClusters = 0 ; for ( int i = 0 ; i < numclusters . length ; i ++ ) { maxClusters = Math . max ( maxClusters , numclusters [ i ] ) ; } return maxClusters ; }
Returns the highest number of Clusters in the clusterings
64
11
157,504
protected static double getMinDist ( DBIDArrayIter j , DistanceQuery < ? > distQ , DBIDArrayIter mi , WritableDoubleDataStore mindist ) { double prev = mindist . doubleValue ( j ) ; if ( Double . isNaN ( prev ) ) { // NaN = unknown prev = Double . POSITIVE_INFINITY ; for ( mi . seek ( 0 ) ; mi . valid ( ) ; mi . advanc...
Get the minimum distance to previous medoids .
139
9
157,505
private static void shuffle ( ArrayModifiableDBIDs ids , int ssize , int end , Random random ) { ssize = ssize < end ? ssize : end ; // Guard for choosing from tiny sets for ( int i = 1 ; i < ssize ; i ++ ) { ids . swap ( i - 1 , i + random . nextInt ( end - i ) ) ; } }
Partial Fisher - Yates shuffle .
84
7
157,506
public static LinearScale [ ] calcScales ( Relation < ? extends SpatialComparable > rel ) { int dim = RelationUtil . dimensionality ( rel ) ; DoubleMinMax [ ] minmax = DoubleMinMax . newArray ( dim ) ; LinearScale [ ] scales = new LinearScale [ dim ] ; // analyze data for ( DBIDIter iditer = rel . iterDBIDs ( ) ; idite...
Compute a linear scale for each dimension .
323
9
157,507
public FrequentItemsetsResult run ( Database db , final Relation < BitVector > relation ) { // TODO: implement with resizable arrays, to not need dim. final int dim = RelationUtil . dimensionality ( relation ) ; final VectorFieldTypeInformation < BitVector > meta = RelationUtil . assumeVectorField ( relation ) ; // Com...
Run the Eclat algorithm
376
6
157,508
public static TreeNode build ( List < Class < ? > > choices , String rootpkg ) { MutableTreeNode root = new PackageNode ( rootpkg , rootpkg ) ; HashMap < String , MutableTreeNode > lookup = new HashMap <> ( ) ; if ( rootpkg != null ) { lookup . put ( rootpkg , root ) ; } lookup . put ( "de.lmu.ifi.dbs.elki" , root ) ; ...
Build the class tree for a given set of choices .
563
11
157,509
private static MutableTreeNode simplifyTree ( MutableTreeNode cur , String prefix ) { if ( cur instanceof PackageNode ) { PackageNode node = ( PackageNode ) cur ; if ( node . getChildCount ( ) == 1 ) { String newprefix = ( prefix != null ) ? prefix + "." + ( String ) node . getUserObject ( ) : ( String ) node . getUser...
Simplify the tree .
288
6
157,510
protected String formatValue ( List < Class < ? extends C > > val ) { StringBuilder buf = new StringBuilder ( 50 + val . size ( ) * 25 ) ; String pkgname = restrictionClass . getPackage ( ) . getName ( ) ; for ( Class < ? extends C > c : val ) { if ( buf . length ( ) > 0 ) { buf . append ( LIST_SEP ) ; } String name = ...
Format as string .
184
4
157,511
protected void publish ( final LogRecord record ) { if ( record instanceof ProgressLogRecord ) { ProgressLogRecord preg = ( ProgressLogRecord ) record ; Progress prog = preg . getProgress ( ) ; JProgressBar pbar = getOrCreateProgressBar ( prog ) ; updateProgressBar ( prog , pbar ) ; if ( prog . isComplete ( ) ) { remov...
Publish a logging record .
126
6
157,512
private void publishTextRecord ( final LogRecord record ) { try { logpane . publish ( record ) ; } catch ( Exception e ) { throw new RuntimeException ( "Error writing a log-like message." , e ) ; } }
Publish a text record to the pane
50
8
157,513
private JProgressBar getOrCreateProgressBar ( Progress prog ) { JProgressBar pbar = pbarmap . get ( prog ) ; // Add a new progress bar. if ( pbar == null ) { synchronized ( pbarmap ) { if ( prog instanceof FiniteProgress ) { pbar = new JProgressBar ( 0 , ( ( FiniteProgress ) prog ) . getTotal ( ) ) ; pbar . setStringPa...
Get an existing or create a new progress bar .
263
10
157,514
private void updateProgressBar ( Progress prog , JProgressBar pbar ) { if ( prog instanceof FiniteProgress ) { pbar . setValue ( ( ( FiniteProgress ) prog ) . getProcessed ( ) ) ; pbar . setString ( ( ( FiniteProgress ) prog ) . toString ( ) ) ; } else if ( prog instanceof IndefiniteProgress ) { pbar . setValue ( ( ( I...
Update a progress bar
222
4
157,515
private void removeProgressBar ( Progress prog , JProgressBar pbar ) { synchronized ( pbarmap ) { pbarmap . remove ( prog ) ; SwingUtilities . invokeLater ( ( ) -> removeProgressBar ( pbar ) ) ; } }
Remove a progress bar
55
4
157,516
public void clear ( ) { logpane . clear ( ) ; synchronized ( pbarmap ) { for ( Entry < Progress , JProgressBar > ent : pbarmap . entrySet ( ) ) { super . remove ( ent . getValue ( ) ) ; pbarmap . remove ( ent . getKey ( ) ) ; } } }
Clear the current contents .
75
5
157,517
@ Override public void componentResized ( ComponentEvent e ) { if ( e . getComponent ( ) == component ) { double newRatio = getCurrentRatio ( ) ; if ( Math . abs ( newRatio - activeRatio ) > threshold ) { activeRatio = newRatio ; executeResize ( newRatio ) ; } } }
React to a component resize event .
76
8
157,518
@ Override public String format ( LogRecord record ) { String msg = record . getMessage ( ) ; if ( msg . length ( ) > 0 ) { if ( record instanceof ProgressLogRecord ) { return msg ; } if ( msg . endsWith ( OutputStreamLogger . NEWLINE ) ) { return msg ; } } return msg + OutputStreamLogger . NEWLINE ; }
Retrieves the message as it is set in the given LogRecord .
81
15
157,519
protected double [ ] alignLabels ( List < ClassLabel > l1 , double [ ] d1 , Collection < ClassLabel > l2 ) { assert ( l1 . size ( ) == d1 . length ) ; if ( l1 == l2 ) { return d1 . clone ( ) ; } double [ ] d2 = new double [ l2 . size ( ) ] ; Iterator < ClassLabel > i2 = l2 . iterator ( ) ; for ( int i = 0 ; i2 . hasNex...
Align the labels for a label query .
218
9
157,520
public void setInitialClusters ( List < ? extends Cluster < ? extends MeanModel > > initialMeans ) { double [ ] [ ] vecs = new double [ initialMeans . size ( ) ] [ ] ; for ( int i = 0 ; i < vecs . length ; i ++ ) { vecs [ i ] = initialMeans . get ( i ) . getModel ( ) . getMean ( ) ; } this . initialMeans = vecs ; }
Set the initial means .
101
5
157,521
public static void exception ( String message , Throwable e ) { if ( message == null && e != null ) { message = e . getMessage ( ) ; } logExpensive ( Level . SEVERE , message , e ) ; }
Static version to log a severe exception .
50
8
157,522
public static void warning ( String message , Throwable e ) { if ( message == null && e != null ) { message = e . getMessage ( ) ; } logExpensive ( Level . WARNING , message , e ) ; }
Static version to log a warning message .
48
8
157,523
public static void message ( String message , Throwable e ) { if ( message == null && e != null ) { message = e . getMessage ( ) ; } logExpensive ( Level . INFO , message , e ) ; }
Static version to log a info message .
48
8
157,524
private static final String [ ] inferCaller ( ) { StackTraceElement [ ] stack = ( new Throwable ( ) ) . getStackTrace ( ) ; int ix = 0 ; while ( ix < stack . length ) { StackTraceElement frame = stack [ ix ] ; if ( ! frame . getClassName ( ) . equals ( LoggingUtil . class . getCanonicalName ( ) ) ) { return new String ...
Infer which class has called the logging helper .
126
10
157,525
public static long binomialCoefficient ( long n , long k ) { final long m = Math . max ( k , n - k ) ; double temp = 1 ; for ( long i = n , j = 1 ; i > m ; i -- , j ++ ) { temp = temp * i / j ; } return ( long ) temp ; }
Binomial coefficient also known as n choose k .
74
11
157,526
public static double approximateBinomialCoefficient ( int n , int k ) { final int m = max ( k , n - k ) ; long temp = 1 ; for ( int i = n , j = 1 ; i > m ; i -- , j ++ ) { temp = temp * i / j ; } return temp ; }
Binomial coefficent also known as n choose k ) .
71
14
157,527
public static int [ ] sequence ( int start , int end ) { if ( start >= end ) { return EMPTY_INTS ; } int [ ] ret = new int [ end - start ] ; for ( int j = 0 ; start < end ; start ++ , j ++ ) { ret [ j ] = start ; } return ret ; }
Generate an array of integers .
72
7
157,528
public KNNDistanceOrderResult run ( Database database , Relation < O > relation ) { final DistanceQuery < O > distanceQuery = database . getDistanceQuery ( relation , getDistanceFunction ( ) ) ; final KNNQuery < O > knnQuery = database . getKNNQuery ( distanceQuery , k + 1 ) ; final int size = ( int ) ( ( sample <= 1. ...
Provides an order of the kNN - distances for all objects within the specified database .
289
18
157,529
public DataStore < M > preprocess ( Class < ? super M > modelcls , Relation < O > relation , RangeQuery < O > query ) { WritableDataStore < M > storage = DataStoreUtil . makeStorage ( relation . getDBIDs ( ) , DataStoreFactory . HINT_HOT | DataStoreFactory . HINT_TEMP , modelcls ) ; Duration time = getLogger ( ) . newD...
Perform the preprocessing step .
288
7
157,530
@ Override public < NV extends NumberVector > NV projectScaledToDataSpace ( double [ ] v , NumberVector . Factory < NV > factory ) { final int dim = v . length ; double [ ] vec = new double [ dim ] ; for ( int d = 0 ; d < dim ; d ++ ) { vec [ d ] = scales [ d ] . getUnscaled ( v [ d ] ) ; } return factory . newNumberVe...
Project a vector from scaled space to data space .
100
10
157,531
@ Override public < NV extends NumberVector > NV projectRenderToDataSpace ( double [ ] v , NumberVector . Factory < NV > prototype ) { final int dim = v . length ; double [ ] vec = projectRenderToScaled ( v ) ; // Not calling {@link #projectScaledToDataSpace} to avoid extra copy of // vector. for ( int d = 0 ; d < dim ...
Project a vector from rendering space to data space .
124
10
157,532
@ Override public < NV extends NumberVector > NV projectRelativeScaledToDataSpace ( double [ ] v , NumberVector . Factory < NV > prototype ) { final int dim = v . length ; double [ ] vec = new double [ dim ] ; for ( int d = 0 ; d < dim ; d ++ ) { vec [ d ] = scales [ d ] . getRelativeUnscaled ( v [ d ] ) ; } return pro...
Project a relative vector from scaled space to data space .
104
11
157,533
public PointerHierarchyRepresentationResult complete ( ) { if ( csize != null ) { csize . destroy ( ) ; csize = null ; } if ( mergecount != ids . size ( ) - 1 ) { LOG . warning ( mergecount + " merges were added to the hierarchy, expected " + ( ids . size ( ) - 1 ) ) ; } if ( prototypes != null ) { return new PointerPr...
Finalize the result .
146
5
157,534
public int getSize ( DBIDRef id ) { if ( csize == null ) { csize = DataStoreUtil . makeIntegerStorage ( ids , DataStoreFactory . HINT_HOT | DataStoreFactory . HINT_TEMP , 1 ) ; } return csize . intValue ( id ) ; }
Get the cluster size of the current object .
69
9
157,535
public void setSize ( DBIDRef id , int size ) { if ( csize == null ) { csize = DataStoreUtil . makeIntegerStorage ( ids , DataStoreFactory . HINT_HOT | DataStoreFactory . HINT_TEMP , 1 ) ; } csize . putInt ( id , size ) ; }
Set the cluster size of an object .
73
8
157,536
public OutlierResult run ( Database database , Relation < N > spatial , Relation < O > relation ) { final NeighborSetPredicate npred = getNeighborSetPredicateFactory ( ) . instantiate ( database , spatial ) ; DistanceQuery < O > distFunc = getNonSpatialDistanceFunction ( ) . instantiate ( relation ) ; WritableDoubleDat...
The main run method
638
4
157,537
public void insertHandler ( Class < ? > restrictionClass , H handler ) { // note that the handlers list is kept in a list that is traversed in // backwards order. handlers . add ( new Pair < Class < ? > , H > ( restrictionClass , handler ) ) ; }
Insert a handler to the beginning of the stack .
59
10
157,538
public H getHandler ( Object o ) { if ( o == null ) { return null ; } // note that we start at the end of the list. ListIterator < Pair < Class < ? > , H > > iter = handlers . listIterator ( handlers . size ( ) ) ; while ( iter . hasPrevious ( ) ) { Pair < Class < ? > , H > pair = iter . previous ( ) ; try { // if we c...
Find a matching handler for the given object
147
8
157,539
public synchronized static Logging getLogger ( final String name ) { Logging logger = loggers . get ( name ) ; if ( logger == null ) { logger = new Logging ( Logger . getLogger ( name ) ) ; loggers . put ( name , logger ) ; } return logger ; }
Retrieve logging utility for a particular class .
65
9
157,540
public void log ( java . util . logging . Level level , CharSequence message ) { LogRecord rec = new ELKILogRecord ( level , message ) ; logger . log ( rec ) ; }
Log a log message at the given level .
43
9
157,541
public void error ( CharSequence message , Throwable e ) { log ( Level . SEVERE , message , e ) ; }
Log a message at the severe level .
28
8
157,542
public void warning ( CharSequence message , Throwable e ) { log ( Level . WARNING , message , e ) ; }
Log a message at the warning level .
26
8
157,543
public void statistics ( CharSequence message , Throwable e ) { log ( Level . STATISTICS , message , e ) ; }
Log a message at the STATISTICS level .
28
10
157,544
public void veryverbose ( CharSequence message , Throwable e ) { log ( Level . VERYVERBOSE , message , e ) ; }
Log a message at the veryverbose level .
31
10
157,545
public void exception ( CharSequence message , Throwable e ) { log ( Level . SEVERE , message , e ) ; }
Log a message with exception at the severe level .
28
10
157,546
public void exception ( Throwable e ) { final String msg = e . getMessage ( ) ; log ( Level . SEVERE , msg != null ? msg : "An exception occurred." , e ) ; }
Log an exception at the severe level .
44
8
157,547
public void statistics ( Statistic stats ) { if ( stats != null ) { log ( Level . STATISTICS , stats . getKey ( ) + ": " + stats . formatValue ( ) ) ; } }
Log a statistics object .
45
5
157,548
public MultipleObjectsBundle generate ( ) { // we actually need some clusters. if ( generators . isEmpty ( ) ) { throw new AbortException ( "No clusters specified." ) ; } // Assert that cluster dimensions agree. final int dim = generators . get ( 0 ) . getDim ( ) ; for ( GeneratorInterface c : generators ) { if ( c . g...
Main loop to generate data set .
561
7
157,549
private void initLabelsAndModels ( ArrayList < GeneratorInterface > generators , ClassLabel [ ] labels , Model [ ] models , Pattern reassign ) { int existingclusters = 0 ; if ( reassign != null ) { for ( int i = 0 ; i < labels . length ; i ++ ) { final GeneratorInterface curclus = generators . get ( i ) ; if ( ! reassi...
Initialize cluster labels and models .
366
7
157,550
public static < V extends FeatureVector < ? > > VectorFieldTypeInformation < V > assumeVectorField ( Relation < V > relation ) { try { return ( ( VectorFieldTypeInformation < V > ) relation . getDataTypeInformation ( ) ) ; } catch ( Exception e ) { throw new UnsupportedOperationException ( "Expected a vector field, got...
Get the vector field type information from a relation .
99
10
157,551
public static < V extends NumberVector > NumberVector . Factory < V > getNumberVectorFactory ( Relation < V > relation ) { final VectorFieldTypeInformation < V > type = assumeVectorField ( relation ) ; @ SuppressWarnings ( "unchecked" ) final NumberVector . Factory < V > factory = ( NumberVector . Factory < V > ) type ...
Get the number vector factory of a database relation .
87
10
157,552
public static int dimensionality ( Relation < ? extends SpatialComparable > relation ) { final SimpleTypeInformation < ? extends SpatialComparable > type = relation . getDataTypeInformation ( ) ; if ( type instanceof FieldTypeInformation ) { return ( ( FieldTypeInformation ) type ) . getDimensionality ( ) ; } return - ...
Get the dimensionality of a database relation .
75
9
157,553
public static double [ ] [ ] computeMinMax ( Relation < ? extends NumberVector > relation ) { int dim = RelationUtil . dimensionality ( relation ) ; double [ ] mins = new double [ dim ] , maxs = new double [ dim ] ; for ( int i = 0 ; i < dim ; i ++ ) { mins [ i ] = Double . MAX_VALUE ; maxs [ i ] = - Double . MAX_VALUE...
Determines the minimum and maximum values in each dimension of all objects stored in the given database .
229
20
157,554
public static < V extends SpatialComparable > String getColumnLabel ( Relation < ? extends V > rel , int col ) { SimpleTypeInformation < ? extends V > type = rel . getDataTypeInformation ( ) ; if ( ! ( type instanceof VectorFieldTypeInformation ) ) { return "Column " + col ; } final VectorFieldTypeInformation < ? > vty...
Get the column name or produce a generic label Column XY .
124
12
157,555
@ SuppressWarnings ( "unchecked" ) public static < V extends NumberVector , T extends NumberVector > Relation < V > relationUglyVectorCast ( Relation < T > database ) { return ( Relation < V > ) database ; }
An ugly vector type cast unavoidable in some situations due to Generics .
55
14
157,556
public KNNList get ( DBIDRef id ) { if ( storage == null ) { if ( getLogger ( ) . isDebugging ( ) ) { getLogger ( ) . debug ( "Running kNN preprocessor: " + this . getClass ( ) ) ; } preprocess ( ) ; } return storage . get ( id ) ; }
Get the k nearest neighbors .
75
6
157,557
public Clustering < DimensionModel > run ( Database database , Relation < V > relation ) { COPACNeighborPredicate . Instance npred = new COPACNeighborPredicate < V > ( settings ) . instantiate ( database , relation ) ; CorePredicate . Instance < DBIDs > cpred = new MinPtsCorePredicate ( settings . minpts ) . instantiat...
Run the COPAC algorithm .
308
6
157,558
public int getUnpairedClusteringIndex ( ) { for ( int index = 0 ; index < clusterIds . length ; index ++ ) { if ( clusterIds [ index ] == UNCLUSTERED ) { return index ; } } return - 1 ; }
Returns the index of the first clustering having an unpaired cluster or - 1 no unpaired cluster exists .
58
22
157,559
protected static boolean isNull ( Object val ) { return ( val == null ) || STRING_NULL . equals ( val ) || DOUBLE_NULL . equals ( val ) || INTEGER_NULL . equals ( val ) ; }
Test a value for null .
50
6
157,560
private static String formatCause ( Throwable cause ) { if ( cause == null ) { return "" ; } String message = cause . getMessage ( ) ; return "\n" + ( message != null ? message : cause . toString ( ) ) ; }
Format the error cause .
53
5
157,561
public TextWriterWriterInterface < ? > getWriterFor ( Object o ) { if ( o == null ) { return null ; } TextWriterWriterInterface < ? > writer = writers . getHandler ( o ) ; if ( writer != null ) { return writer ; } try { final Class < ? > decl = o . getClass ( ) . getMethod ( "toString" ) . getDeclaringClass ( ) ; if ( ...
Retrieve an appropriate writer from the handler list .
143
10
157,562
protected Cluster < BiclusterModel > defineBicluster ( BitSet rows , BitSet cols ) { ArrayDBIDs rowIDs = rowsBitsetToIDs ( rows ) ; int [ ] colIDs = colsBitsetToIDs ( cols ) ; return new Cluster <> ( rowIDs , new BiclusterModel ( colIDs ) ) ; }
Defines a Bicluster as given by the included rows and columns .
78
15
157,563
public double getSampleSkewness ( ) { if ( ! ( m2 > 0 ) || ! ( n > 2 ) ) { throw new ArithmeticException ( "Skewness not defined when variance is 0 or weight <= 2.0!" ) ; } return ( m3 * n / ( n - 1 ) / ( n - 2 ) ) / FastMath . pow ( getSampleVariance ( ) , 1.5 ) ; }
Get the skewness using sample variance .
94
9
157,564
public static double cosineOrHaversineDeg ( double lat1 , double lon1 , double lat2 , double lon2 ) { return cosineOrHaversineRad ( deg2rad ( lat1 ) , deg2rad ( lon1 ) , deg2rad ( lat2 ) , deg2rad ( lon2 ) ) ; }
Use cosine or haversine dynamically .
76
9
157,565
public static double crossTrackDistanceRad ( double lat1 , double lon1 , double lat2 , double lon2 , double latQ , double lonQ , double dist1Q ) { final double dlon12 = lon2 - lon1 ; final double dlon1Q = lonQ - lon1 ; // Compute trigonometric functions only once. final DoubleWrapper tmp = new DoubleWrapper ( ) ; // To...
Compute the cross - track distance .
421
8
157,566
public static double alongTrackDistanceRad ( double lat1 , double lon1 , double lat2 , double lon2 , double latQ , double lonQ , double dist1Q , double ctd ) { // FIXME: optimize the sign computation! int sign = Math . abs ( bearingRad ( lat1 , lon1 , lat2 , lon2 ) - bearingRad ( lat1 , lon1 , latQ , lonQ ) ) < HALFPI ...
The along track distance is the distance from S to Q along the track S to E .
174
18
157,567
private static double [ ] reversed ( double [ ] a ) { // TODO: there doesn't appear to be a nicer version in Java, unfortunately. Arrays . sort ( a ) ; for ( int i = 0 , j = a . length - 1 ; i < j ; i ++ , j -- ) { double tmp = a [ i ] ; a [ i ] = a [ j ] ; a [ j ] = tmp ; } return a ; }
Sort an array of doubles in descending order .
95
9
157,568
private double computeExplainedVariance ( double [ ] eigenValues , int filteredEigenPairs ) { double strongsum = 0. , weaksum = 0. ; for ( int i = 0 ; i < filteredEigenPairs ; i ++ ) { strongsum += eigenValues [ i ] ; } for ( int i = filteredEigenPairs ; i < eigenValues . length ; i ++ ) { weaksum += eigenValues [ i ] ...
Compute the explained variance for a filtered EigenPairs .
116
13
157,569
private void assertSortedByDistance ( DoubleDBIDList results ) { // TODO: sort results instead? double dist = - 1.0 ; boolean sorted = true ; for ( DoubleDBIDListIter it = results . iter ( ) ; it . valid ( ) ; it . advance ( ) ) { double qr = it . doubleValue ( ) ; if ( qr < dist ) { sorted = false ; } dist = qr ; } if...
Ensure that the results are sorted by distance .
157
10
157,570
public static String prefixParameterToMessage ( Parameter < ? > p , String message ) { return new StringBuilder ( 100 + message . length ( ) ) // . append ( p instanceof Flag ? "Flag '" : "Parameter '" ) // . append ( p . getOptionID ( ) . getName ( ) ) // . append ( "' " ) . append ( message ) . toString ( ) ; }
Prefix parameter information to error message .
87
8
157,571
public static String prefixParametersToMessage ( Parameter < ? > p , String mid , Parameter < ? > p2 , String message ) { return new StringBuilder ( 200 + mid . length ( ) + message . length ( ) ) // . append ( p instanceof Flag ? "Flag '" : "Parameter '" ) // . append ( p . getOptionID ( ) . getName ( ) ) // . append ...
Prefix parameters to error message .
164
7
157,572
@ Override protected int computeHeight ( ) { N node = getRoot ( ) ; int height = 1 ; // compute height while ( ! node . isLeaf ( ) && node . getNumEntries ( ) != 0 ) { E entry = node . getEntry ( 0 ) ; node = getNode ( entry ) ; height ++ ; } return height ; }
Computes the height of this RTree . Is called by the constructor . and should be overwritten by subclasses if necessary .
76
26
157,573
private List < E > createBulkDirectoryNodes ( List < E > nodes ) { int minEntries = dirMinimum ; int maxEntries = dirCapacity - 1 ; ArrayList < E > result = new ArrayList <> ( ) ; List < List < E > > partitions = settings . bulkSplitter . partition ( nodes , minEntries , maxEntries ) ; for ( List < E > partition : part...
Creates and returns the directory nodes for bulk load .
203
11
157,574
private N createRoot ( N root , List < E > objects ) { // insert data for ( E entry : objects ) { if ( entry instanceof LeafEntry ) { root . addLeafEntry ( entry ) ; } else { root . addDirectoryEntry ( entry ) ; } } // set root mbr ( ( SpatialDirectoryEntry ) getRootEntry ( ) ) . setMBR ( root . computeMBR ( ) ) ; // w...
Returns a root node for bulk load . If the objects are data objects a leaf node will be returned if the objects are nodes a directory node will be returned .
172
32
157,575
private int tailingNonNewline ( char [ ] cbuf , int off , int len ) { for ( int cnt = 0 ; cnt < len ; cnt ++ ) { final int pos = off + ( len - 1 ) - cnt ; if ( cbuf [ pos ] == UNIX_NEWLINE ) { return cnt ; } if ( cbuf [ pos ] == CARRIAGE_RETURN ) { return cnt ; } // TODO: need to compare to NEWLINEC, too? } return len ...
Count the tailing non - newline characters .
115
10
157,576
@ Override public void write ( char [ ] cbuf , int off , int len ) throws IOException { if ( len <= 0 ) { return ; } // if we havn't last seen a newline, and don't get a CR, insert a newline. if ( charsSinceNewline > 0 ) { if ( cbuf [ off ] != CARRIAGE_RETURN ) { super . write ( NEWLINEC , 0 , NEWLINEC . length ) ; cha...
Writer that keeps track of when it hasn t seen a newline yet will auto - insert newlines except when lines start with a carriage return .
275
29
157,577
protected DoubleDataStore computeIDs ( DBIDs ids , KNNQuery < O > knnQ ) { WritableDoubleDataStore intDims = DataStoreUtil . makeDoubleStorage ( ids , DataStoreFactory . HINT_HOT | DataStoreFactory . HINT_TEMP ) ; FiniteProgress prog = LOG . isVerbose ( ) ? new FiniteProgress ( "Intrinsic dimensionality" , ids . size (...
Computes all IDs
218
4
157,578
protected DoubleDataStore computeIDOS ( DBIDs ids , KNNQuery < O > knnQ , DoubleDataStore intDims , DoubleMinMax idosminmax ) { WritableDoubleDataStore ldms = DataStoreUtil . makeDoubleStorage ( ids , DataStoreFactory . HINT_STATIC ) ; FiniteProgress prog = LOG . isVerbose ( ) ? new FiniteProgress ( "ID Outlier Scores ...
Computes all IDOS scores .
362
7
157,579
public OutlierResult run ( Database database , Relation < V > relation ) { final int dbsize = relation . size ( ) ; ArrayList < ArrayList < DBIDs > > ranges = buildRanges ( relation ) ; Heap < Individuum > . UnorderedIter individuums = ( new EvolutionarySearch ( relation , ranges , m , rnd . getSingleThreadedRandom ( )...
Performs the evolutionary algorithm on the given database .
491
10
157,580
protected double [ ] [ ] buildDistanceMatrix ( ArrayDBIDs ids , DistanceQuery < ? > dq ) { final int size = ids . size ( ) ; double [ ] [ ] dmat = new double [ size ] [ size ] ; final boolean square = ! dq . getDistanceFunction ( ) . isSquared ( ) ; FiniteProgress prog = LOG . isVerbose ( ) ? new FiniteProgress ( "Comp...
Build a distance matrix of squared distances .
403
8
157,581
@ Override public Clustering < M > run ( Database database , Relation < V > relation ) { MutableProgress prog = LOG . isVerbose ( ) ? new MutableProgress ( "X-means number of clusters" , k_max , LOG ) : null ; // Run initial k-means to find at least k_min clusters innerKMeans . setK ( k_min ) ; LOG . statistics ( new S...
Run the algorithm on a database and relation .
533
9
157,582
protected List < Cluster < M > > splitCluster ( Cluster < M > parentCluster , Database database , Relation < V > relation ) { // Transform parent cluster into a clustering ArrayList < Cluster < M >> parentClusterList = new ArrayList < Cluster < M > > ( 1 ) ; parentClusterList . add ( parentCluster ) ; if ( parentCluste...
Conditionally splits the clusters based on the information criterion .
365
11
157,583
protected double [ ] [ ] splitCentroid ( Cluster < ? extends MeanModel > parentCluster , Relation < V > relation ) { double [ ] parentCentroid = parentCluster . getModel ( ) . getMean ( ) ; // Compute size of cluster/region double radius = 0. ; for ( DBIDIter it = parentCluster . getIDs ( ) . iter ( ) ; it . valid ( ) ...
Split an existing centroid into two initial centers .
300
10
157,584
private void scan ( HilbertFeatures hf , int k0 ) { final int mink0 = Math . min ( 2 * k0 , capital_n - 1 ) ; if ( LOG . isDebuggingFine ( ) ) { LOG . debugFine ( "Scanning with k0=" + k0 + " (" + mink0 + ")" + " N*=" + capital_n_star ) ; } for ( int i = 0 ; i < hf . pf . length ; i ++ ) { if ( hf . pf [ i ] . ubound <...
Scan function performs a squential scan over the data .
370
11
157,585
private void trueOutliers ( HilbertFeatures h ) { n_star = 0 ; for ( ObjectHeap . UnsortedIter < HilFeature > iter = h . out . unsortedIter ( ) ; iter . valid ( ) ; iter . advance ( ) ) { HilFeature entry = iter . get ( ) ; if ( entry . ubound >= omega_star && ( entry . ubound - entry . lbound < 1E-10 ) ) { n_star ++ ;...
trueOutliers function updates n_star
104
9
157,586
public static void load ( Class < ? > restrictionClass ) { if ( MASTER_CACHE == null ) { initialize ( ) ; } if ( MASTER_CACHE . isEmpty ( ) ) { return ; } Iterator < Class < ? > > iter = MASTER_CACHE . iterator ( ) ; while ( iter . hasNext ( ) ) { Class < ? > clazz = iter . next ( ) ; // Skip other classes. if ( ! rest...
Load classes via linear scanning .
277
6
157,587
private static int comparePackageClass ( Class < ? > o1 , Class < ? > o2 ) { return o1 . getPackage ( ) == o2 . getPackage ( ) ? // o1 . getCanonicalName ( ) . compareTo ( o2 . getCanonicalName ( ) ) // : o1 . getPackage ( ) == null ? - 1 : o2 . getPackage ( ) == null ? + 1 // : o1 . getPackage ( ) . getName ( ) . comp...
Compare two classes by package name first .
125
8
157,588
private static int classPriority ( Class < ? > o1 ) { Priority p = o1 . getAnnotation ( Priority . class ) ; if ( p == null ) { Class < ? > pa = o1 . getDeclaringClass ( ) ; p = ( pa != null ) ? pa . getAnnotation ( Priority . class ) : null ; } return p != null ? p . value ( ) : Priority . DEFAULT ; }
Get the priority of a class or its outer class .
92
11
157,589
public int nextIndex ( int weight ) { if ( used == parent . length ) { int nsize = used + ( used >> 1 ) ; this . weight = Arrays . copyOf ( this . weight , nsize ) ; this . parent = Arrays . copyOf ( this . parent , nsize ) ; } this . weight [ used ] = weight ; this . parent [ used ] = used ; return used ++ ; }
Occupy the next unused index .
90
7
157,590
public int find ( int cur ) { assert ( cur >= 0 && cur < parent . length ) ; int p = parent [ cur ] , tmp ; while ( cur != p ) { tmp = p ; p = parent [ cur ] = parent [ p ] ; // Perform simple path compression. cur = tmp ; } return cur ; }
Find the parent of an object .
69
7
157,591
public int union ( int first , int second ) { int firstComponent = find ( first ) , secondComponent = find ( second ) ; if ( firstComponent == secondComponent ) { return firstComponent ; } final int w1 = weight [ firstComponent ] , w2 = weight [ secondComponent ] ; if ( w1 > w2 ) { parent [ secondComponent ] = firstCom...
Join the components of elements p and q .
120
9
157,592
public IntList getRoots ( ) { IntList roots = new IntArrayList ( ) ; for ( int i = 0 ; i < used ; i ++ ) { // roots or one element in component if ( parent [ i ] == i ) { roots . add ( i ) ; } } return roots ; }
Collect all component root elements .
65
6
157,593
public int growSuperNode ( ) { if ( getNumEntries ( ) < getCapacity ( ) ) { throw new IllegalStateException ( "This node is not yet overflowing (only " + getNumEntries ( ) + " of " + getCapacity ( ) + " entries)" ) ; } Entry [ ] old_nodes = super . entries . clone ( ) ; assert old_nodes [ old_nodes . length - 1 ] != nu...
Grows the supernode by duplicating its capacity .
169
11
157,594
public < T extends AbstractXTree < N > > void readSuperNode ( ObjectInput in , T tree ) throws IOException , ClassNotFoundException { readExternal ( in ) ; if ( capacity_to_be_filled <= 0 || ! isSuperNode ( ) ) { throw new IllegalStateException ( "This node does not appear to be a supernode" ) ; } if ( isLeaf ) { throw...
Reads the id of this supernode the numEntries and the entries array from the specified stream .
309
21
157,595
public static int compare ( DBIDRef id1 , DBIDRef id2 ) { return DBIDFactory . FACTORY . compare ( id1 , id2 ) ; }
Compare two DBIDs .
37
5
157,596
public static boolean equal ( DBIDRef id1 , DBIDRef id2 ) { return DBIDFactory . FACTORY . equal ( id1 , id2 ) ; }
Test two DBIDs for equality .
37
7
157,597
public static DBID deref ( DBIDRef ref ) { return ref instanceof DBID ? ( DBID ) ref : importInteger ( ref . internalGetIndex ( ) ) ; }
Dereference a DBID reference .
39
8
157,598
public static ModifiableDBIDs union ( DBIDs ids1 , DBIDs ids2 ) { ModifiableDBIDs result = DBIDUtil . newHashSet ( Math . max ( ids1 . size ( ) , ids2 . size ( ) ) ) ; result . addDBIDs ( ids1 ) ; result . addDBIDs ( ids2 ) ; return result ; }
Returns the union of the two specified collection of IDs .
84
11
157,599
public static ModifiableDBIDs difference ( DBIDs ids1 , DBIDs ids2 ) { ModifiableDBIDs result = DBIDUtil . newHashSet ( ids1 ) ; result . removeDBIDs ( ids2 ) ; return result ; }
Returns the difference of the two specified collection of IDs .
56
11