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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.SparseDoubleArray;

import javax.annotation.Nonnegative;
import javax.annotation.Nonnull;

public final class SparseVector extends AbstractVector {

    @Nonnull
    private final SparseDoubleArray values;

    public SparseVector() {
        super();
        this.values = new SparseDoubleArray();
    }

    public SparseVector(@Nonnull SparseDoubleArray values) {
        super();
        this.values = values;
    }

    @Override
    public double get(@Nonnegative final int index, final double defaultValue) {
        return values.get(index, defaultValue);
    }

    @Override
    public void set(@Nonnegative final int index, final double value) {
        values.put(index, value);
    }

    @Override
    public void incr(@Nonnegative final int index, final double delta) {
        values.increment(index, 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() {
        return values.toArray();
    }

}