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// Copyright Vespa.ai. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.tensor;
import com.google.common.collect.ImmutableMap;
import java.util.Iterator;
import java.util.Map;
import java.util.Set;
/**
* A sparse implementation of a tensor backed by a Map of cells to values.
*
* @author bratseth
*/
public class MappedTensor implements Tensor {
private final TensorType type;
private final ImmutableMap<TensorAddress, Double> cells;
/** Creates a sparse tensor. The cell addresses must match the type. */
private MappedTensor(TensorType type, Map<TensorAddress, Double> cells) {
this.type = type;
this.cells = ImmutableMap.copyOf(cells);
}
@Override
public TensorType type() { return type; }
@Override
public long size() { return cells.size(); }
/** Once we can store more cells than an int we should drop this. */
@Override
public int sizeAsInt() { return cells.size(); }
@Override
public double get(TensorAddress address) { return cells.getOrDefault(address, 0.0); }
@Override
public boolean has(TensorAddress address) { return cells.containsKey(address); }
@Override
public Double getAsDouble(TensorAddress address) { return cells.get(address); }
@Override
public Iterator<Cell> cellIterator() { return new CellIteratorAdaptor(cells.entrySet().iterator()); }
@Override
public Iterator<Double> valueIterator() { return cells.values().iterator(); }
@Override
public Map<TensorAddress, Double> cells() { return cells; }
@Override
public Tensor withType(TensorType other) {
if (!this.type.isRenamableTo(type)) {
throw new IllegalArgumentException("MappedTensor.withType: types are not compatible. Current type: '" +
this.type + "', requested type: '" + type.toString() + "'");
}
return new MappedTensor(other, cells);
}
@Override
public Tensor remove(Set<TensorAddress> addresses) {
Tensor.Builder builder = Tensor.Builder.of(type());
for (Iterator<Tensor.Cell> i = cellIterator(); i.hasNext(); ) {
Tensor.Cell cell = i.next();
TensorAddress address = cell.getKey();
if ( ! addresses.contains(address)) {
builder.cell(address, cell.getValue());
}
}
return builder.build();
}
@Override
public int hashCode() { return cells.hashCode(); }
@Override
public String toString() { return toString(true, true); }
@Override
public String toString(boolean withType, boolean shortForms) { return toString(withType, shortForms, Long.MAX_VALUE); }
@Override
public String toAbbreviatedString(boolean withType, boolean shortForms) {
return toString(withType, shortForms, Math.max(2, 10 / (type().dimensions().stream().filter(TensorType.Dimension::isMapped).count() + 1)));
}
private String toString(boolean withType, boolean shortForms, long maxCells) {
return Tensor.toStandardString(this, withType, shortForms, maxCells);
}
@Override
public boolean equals(Object other) {
if ( ! ( other instanceof Tensor)) return false;
return Tensor.equals(this, ((Tensor)other));
}
public static class Builder implements Tensor.Builder {
private final TensorType type;
private final ImmutableMap.Builder<TensorAddress, Double> cells = new ImmutableMap.Builder<>();
public static Builder of(TensorType type) { return new Builder(type); }
private Builder(TensorType type) {
this.type = type;
}
public CellBuilder cell() {
return new CellBuilder(type, this);
}
@Override
public TensorType type() { return type; }
@Override
public Builder cell(TensorAddress address, float value) {
return cell(address, (double)value);
}
@Override
public Builder cell(TensorAddress address, double value) {
cells.put(address, value);
return this;
}
@Override
public Builder cell(float value, long... labels) {
return cell((double)value, labels);
}
@Override
public Builder cell(double value, long... labels) {
cells.put(TensorAddress.of(labels), value);
return this;
}
@Override
public MappedTensor build() {
return new MappedTensor(type, cells.build());
}
}
private static class CellIteratorAdaptor implements Iterator<Cell> {
private final Iterator<Map.Entry<TensorAddress, Double>> adaptedIterator;
private CellIteratorAdaptor(Iterator<Map.Entry<TensorAddress, Double>> adaptedIterator) {
this.adaptedIterator = adaptedIterator;
}
@Override
public boolean hasNext() { return adaptedIterator.hasNext(); }
@Override
public Cell next() {
Map.Entry<TensorAddress, Double> entry = adaptedIterator.next();
return new Cell(entry.getKey(), entry.getValue());
}
}
}
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