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/*
* Copyright 2019 and onwards Makoto Yui
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*/
package matrix4j.vector;
import matrix4j.utils.collections.arrays.SparseFloatArray;
import javax.annotation.Nonnegative;
import javax.annotation.Nonnull;
public final class SparseFloatVector extends AbstractVector {
@Nonnull
private final SparseFloatArray values;
public SparseFloatVector() {
super();
this.values = new SparseFloatArray();
}
public SparseFloatVector(@Nonnull SparseFloatArray values) {
super();
this.values = values;
}
@Override
public float get(@Nonnegative final int index, final float defaultValue) {
return values.get(index, defaultValue);
}
@Override
public double get(@Nonnegative final int index, final double defaultValue) {
return values.get(index, (float) defaultValue);
}
@Override
public void set(@Nonnegative final int index, final float value) {
values.put(index, value);
}
@Override
public void set(@Nonnegative final int index, final double value) {
values.put(index, (float) value);
}
@Override
public void incr(@Nonnegative final int index, final double delta) {
values.increment(index, (float) delta);
}
@Override
public void each(@Nonnull final VectorProcedure procedure) {
values.each(procedure);
}
@Override
public int size() {
return values.size();
}
@Override
public void clear() {
values.clear();
}
@Override
public double[] toArray() {
throw new UnsupportedOperationException();
}
}
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