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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.yahoo.tensor.impl.NumericTensorAddress;
import com.yahoo.tensor.impl.StringTensorAddress;
import java.util.Arrays;
import java.util.Objects;
import java.util.Optional;
/**
* An immutable address to a tensor cell. This simply supplies a value to each dimension
* in a particular tensor type. By itself it is just a list of cell labels, it's meaning depends on its accompanying type.
*
* @author bratseth
*/
public abstract class TensorAddress implements Comparable<TensorAddress> {
public static TensorAddress of(String[] labels) {
return StringTensorAddress.of(labels);
}
public static TensorAddress ofLabels(String ... labels) {
return StringTensorAddress.of(labels);
}
public static TensorAddress of(long ... labels) {
return NumericTensorAddress.of(labels);
}
/** Returns the number of labels in this */
public abstract int size();
/**
* Returns the i'th label in this
*
* @throws IllegalArgumentException if there is no label at this index
*/
public abstract String label(int i);
/**
* Returns the i'th label in this as a long.
* Prefer this if you know that this is a numeric address, but not otherwise.
*
* @throws IllegalArgumentException if there is no label at this index
*/
public abstract long numericLabel(int i);
public abstract TensorAddress withLabel(int labelIndex, long label);
public final boolean isEmpty() { return size() == 0; }
@Override
public int compareTo(TensorAddress other) {
// TODO: Formal issue (only): Ordering with different address sizes
for (int i = 0; i < size(); i++) {
int elementComparison = this.label(i).compareTo(other.label(i));
if (elementComparison != 0) return elementComparison;
}
return 0;
}
@Override
public int hashCode() {
int result = 1;
for (int i = 0; i < size(); i++) {
if (label(i) != null)
result = 31 * result + label(i).hashCode();
}
return result;
}
@Override
public boolean equals(Object o) {
if (o == this) return true;
if ( ! (o instanceof TensorAddress other)) return false;
if (other.size() != this.size()) return false;
for (int i = 0; i < this.size(); i++)
if ( ! Objects.equals(this.label(i), other.label(i)))
return false;
return true;
}
/** Returns this as a string on the appropriate form given the type */
public final String toString(TensorType type) {
StringBuilder b = new StringBuilder("{");
for (int i = 0; i < size(); i++) {
b.append(type.dimensions().get(i).name()).append(":").append(labelToString(label(i)));
b.append(",");
}
if (b.length() > 1)
b.setLength(b.length() - 1);
b.append("}");
return b.toString();
}
/** Returns a label as a string with appropriate quoting/escaping when necessary */
public static String labelToString(String label) {
if (TensorType.labelMatcher.matches(label)) return label; // no quoting
if (label.contains("'")) return "\"" + label + "\"";
return "'" + label + "'";
}
/** Builder of a tensor address */
public static class Builder {
final TensorType type;
final String[] labels;
public Builder(TensorType type) {
this(type, new String[type.dimensions().size()]);
}
private Builder(TensorType type, String[] labels) {
this.type = type;
this.labels = labels;
}
/**
* Adds the label to the only mapped dimension of this.
*
* @throws IllegalArgumentException if this does not have exactly one dimension
*/
public Builder add(String label) {
var mappedSubtype = type.mappedSubtype();
if (mappedSubtype.rank() != 1)
throw new IllegalArgumentException("Cannot add a label without explicit dimension to a tensor of type " +
type + ": Must have exactly one sparse dimension");
add(mappedSubtype.dimensions().get(0).name(), label);
return this;
}
/**
* Adds a label in a dimension to this.
*
* @return this for convenience
*/
public Builder add(String dimension, String label) {
Objects.requireNonNull(dimension, "dimension cannot be null");
Objects.requireNonNull(label, "label cannot be null");
Optional<Integer> labelIndex = type.indexOfDimension(dimension);
if ( labelIndex.isEmpty())
throw new IllegalArgumentException(type + " does not contain dimension '" + dimension + "'");
labels[labelIndex.get()] = label;
return this;
}
/** Creates a copy of this which can be modified separately */
public Builder copy() {
return new Builder(type, Arrays.copyOf(labels, labels.length));
}
/** Returns the type of the tensor this address is being built for. */
public TensorType type() { return type; }
void validate() {
for (int i = 0; i < labels.length; i++)
if (labels[i] == null)
throw new IllegalArgumentException("Missing a label for dimension '" +
type.dimensions().get(i).name() + "' for " + type);
}
public TensorAddress build() {
validate();
return TensorAddress.of(labels);
}
}
/** Builder of an address to a subset of the dimensions of a tensor type */
public static class PartialBuilder extends Builder {
public PartialBuilder(TensorType type) {
super(type);
}
private PartialBuilder(TensorType type, String[] labels) {
super(type, labels);
}
/** Creates a copy of this which can be modified separately */
public Builder copy() {
return new PartialBuilder(type, Arrays.copyOf(labels, labels.length));
}
@Override
void validate() { }
}
}
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