/*
* Licensed to the Apache Software Foundation (ASF) under one or more
* contributor license agreements. See the NOTICE file distributed with
* this work for additional information regarding copyright ownership.
* The ASF licenses this file to You 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 org.apache.ignite.ml.math.impls.vector;
import org.apache.ignite.IgniteCache;
import org.apache.ignite.ml.math.Matrix;
import org.apache.ignite.ml.math.ValueMapper;
import org.apache.ignite.ml.math.Vector;
import org.apache.ignite.ml.math.VectorKeyMapper;
import org.apache.ignite.ml.math.exceptions.UnsupportedOperationException;
import org.apache.ignite.ml.math.functions.IgniteBiFunction;
import org.apache.ignite.ml.math.functions.IgniteDoubleFunction;
import org.apache.ignite.ml.math.functions.IgniteFunction;
import org.apache.ignite.ml.math.impls.CacheUtils;
import org.apache.ignite.ml.math.impls.storage.vector.CacheVectorStorage;
/**
* Vector based on existing cache and index and value mapping functions.
*/
public class CacheVector<K, V> extends AbstractVector {
/**
*
*/
public CacheVector() {
// No-op.
}
/**
* Creates new vector over existing cache.
*
* @param size Vector size.
* @param cache Ignite cache.
* @param keyFunc {@link VectorKeyMapper} to validate cache key.
* @param valMapper {@link ValueMapper} to obtain value for given cache key.
*/
public CacheVector(
int size,
IgniteCache<K, V> cache,
VectorKeyMapper<K> keyFunc,
ValueMapper<V> valMapper) {
setStorage(new CacheVectorStorage<>(size, cache, keyFunc, valMapper));
}
/**
* @param mapper Mapping function.
*/
private Vector mapOverCache(IgniteFunction<Double, Double> mapper) {
CacheVectorStorage<K, V> sto = storage();
CacheUtils.map(sto.cache().getName(), sto.keyMapper(), sto.valueMapper(), mapper);
return this;
}
/** {@inheritDoc} */
@Override public double minValue() {
CacheVectorStorage<K, V> sto = storage();
return CacheUtils.min(sto.cache().getName(), sto.keyMapper(), sto.valueMapper());
}
/** {@inheritDoc} */
@Override public double maxValue() {
CacheVectorStorage<K, V> sto = storage();
return CacheUtils.max(sto.cache().getName(), sto.keyMapper(), sto.valueMapper());
}
/** {@inheritDoc} */
@Override public Vector map(IgniteDoubleFunction<Double> fun) {
return mapOverCache(fun::apply);
}
/** {@inheritDoc} */
@Override public Vector map(IgniteBiFunction<Double, Double, Double> fun, double y) {
// TODO: provide cache-optimized implementation.
return super.map(fun, y); // TODO
}
/** {@inheritDoc} */
@Override public double sum() {
CacheVectorStorage<K, V> sto = storage();
return CacheUtils.sum(sto.cache().getName(), sto.keyMapper(), sto.valueMapper());
}
/** {@inheritDoc} */
@Override public Vector assign(double val) {
return mapOverCache((Double d) -> val);
}
/** {@inheritDoc} */
@Override public Vector plus(double x) {
return mapOverCache((Double d) -> d + x);
}
/** {@inheritDoc} */
@Override public Vector divide(double x) {
return mapOverCache((Double d) -> d / x);
}
/** {@inheritDoc} */
@Override public Vector times(double x) {
return mapOverCache((Double d) -> d * x);
}
/**
*
*
*/
@SuppressWarnings({"unchecked"})
private CacheVectorStorage<K, V> storage() {
return (CacheVectorStorage<K, V>)getStorage();
}
/** {@inheritDoc} */
@Override public Vector like(int crd) {
throw new UnsupportedOperationException();
}
/** {@inheritDoc} */
@Override public Matrix likeMatrix(int rows, int cols) {
throw new UnsupportedOperationException();
}
}