The current implementation doesn't support select on sparse non-2D-matrices.
This limits the usability of 3 and higher dimensional matrices significantly.
The following test code illustrates the problem:
public void test3DSelect() {
long n = 1000;
// init sparse 3D matrix
SparseMatrix tensor = Matrix.Factory.sparse(ValueType.BOOLEAN, n, n, n);
tensor.setAsBoolean(true, 1L, 3L, 5L);
tensor.setAsBoolean(true, 30L, 3L, 5L);
tensor.setAsBoolean(true, 700L, 3L, 5L);
// define selections to execute
String[] selectStrings = new String[]{"*;3;5", "1;*;5", "1;3;*"};
// select
for (String selectString : selectStrings) {
System.out.println("selection: " + selectString);
// select a 1D vector
Matrix select = tensor.select(Ret.LINK, selectString); // Exception is thrown here
Iterable<long[]> result = select.nonZeroCoordinates();
// take only non-zero values
Iterator<long[]> resultIt = result.iterator();
// print result
while(resultIt.hasNext()){
long[] entry = resultIt.next();
for (int i = 0; i < entry.length; i++) {
System.out.print(entry[i] + " ");
}
System.out.print("\n");
}
}
}
This code throws a RuntimeException("only supported for 2d matrices") at org.ujmp.core.objectmatrix.calculation.Selection.createAnnotation():82.
The whole method createAnnotation() is widely commented out. If I comment line 82 out that throws the exception the both programs runs but returns false results.
With select on sparse 3D+ matrices ujmp would be awesome. :)
The current implementation doesn't support select on sparse non-2D-matrices.
This limits the usability of 3 and higher dimensional matrices significantly.
The following test code illustrates the problem:
This code throws a RuntimeException("only supported for 2d matrices") at org.ujmp.core.objectmatrix.calculation.Selection.createAnnotation():82.
The whole method createAnnotation() is widely commented out. If I comment line 82 out that throws the exception the both programs runs but returns false results.
With select on sparse 3D+ matrices ujmp would be awesome. :)