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package de.lmu.ifi.dbs.elki.datasource.filter;
/*
This file is part of ELKI:
Environment for Developing KDD-Applications Supported by Index-Structures
Copyright (C) 2013
Ludwig-Maximilians-Universität München
Lehr- und Forschungseinheit für Datenbanksysteme
ELKI Development Team
This program is free software: you can redistribute it and/or modify
it under the terms of the GNU Affero General Public License as published by
the Free Software Foundation, either version 3 of the License, or
(at your option) any later version.
This program is distributed in the hope that it will be useful,
but WITHOUT ANY WARRANTY; without even the implied warranty of
MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
GNU Affero General Public License for more details.
You should have received a copy of the GNU Affero General Public License
along with this program. If not, see <http://www.gnu.org/licenses/>.
*/
import de.lmu.ifi.dbs.elki.data.SparseNumberVector;
import de.lmu.ifi.dbs.elki.data.type.SimpleTypeInformation;
import de.lmu.ifi.dbs.elki.data.type.TypeUtil;
import de.lmu.ifi.dbs.elki.data.type.VectorFieldTypeInformation;
import de.lmu.ifi.dbs.elki.logging.Logging;
/**
* Class that turns sparse float vectors into a proper vector field, by setting
* the maximum dimensionality for each vector.
*
* @author Erich Schubert
*
* @param <V> Vector type
*/
public class SparseVectorFieldFilter<V extends SparseNumberVector<?>> extends AbstractConversionFilter<V, V> {
/**
* Class logger.
*/
private static final Logging LOG = Logging.getLogger(SparseVectorFieldFilter.class);
/**
* Maximum dimension.
*/
int maxdim = -1;
/**
* Constructor.
*/
public SparseVectorFieldFilter() {
super();
}
@Override
protected boolean prepareStart(SimpleTypeInformation<V> in) {
return true;
}
@Override
protected void prepareProcessInstance(V obj) {
maxdim = Math.max(maxdim, obj.getDimensionality());
}
@Override
protected V filterSingleObject(V obj) {
assert (maxdim > 0);
obj.setDimensionality(maxdim);
return obj;
}
@Override
protected SimpleTypeInformation<? super V> getInputTypeRestriction() {
return TypeUtil.SPARSE_VECTOR_VARIABLE_LENGTH;
}
@Override
protected SimpleTypeInformation<? super V> convertedType(SimpleTypeInformation<V> in) {
SparseNumberVector.Factory<V, ?> factory = (SparseNumberVector.Factory<V, ?>) FilterUtil.guessFactory(in);
return new VectorFieldTypeInformation<>(factory, maxdim);
}
@Override
protected Logging getLogger() {
return LOG;
}
}
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