public void handleContextVector(String primaryKey, String secondaryKey, SparseDoubleVector v) {
assertEquals("foxes.n.123", secondaryKey);
assertEquals("foxes", primaryKey);
assertEquals(0, v.get(0), .001);
assertEquals(1.0, v.get(1), .001);
assertEquals(4.0, v.get(2), .001);
assertEquals(4.5, v.get(3), .001);
assertEquals(0, v.get(4), .001);
assertEquals(2, v.get(5), .001);
}
/**
* Create a {@code CompactSparseVector} from an array, saving only the non zero entries.
*
* @param array The double array to produce a sparse vector from.
*/
public CompactSparseVector(SparseDoubleVector v) {
int length = v.length();
int[] nz = v.getNonZeroIndices();
double[] values = new double[nz.length];
for (int i = 0; i < nz.length; ++i) values[i] = v.get(nz[i]);
vector = new SparseDoubleArray(nz, values, length);
magnitude = -1;
}
@Override
public double get(int row, int col) {
SparseDoubleVector vector = matrix.get(row);
if (vector == null) {
return NOT_FLAGGED;
} else {
return vector.get(col);
}
}