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// Copyright 2017 Yahoo Holdings. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.searchdefinition.expressiontransforms;
import com.yahoo.searchlib.rankingexpression.evaluation.TensorValue;
import com.yahoo.searchlib.rankingexpression.evaluation.Value;
import com.yahoo.searchlib.rankingexpression.rule.CompositeNode;
import com.yahoo.searchlib.rankingexpression.rule.ExpressionNode;
import com.yahoo.searchlib.rankingexpression.rule.NameNode;
import com.yahoo.searchlib.rankingexpression.rule.ReferenceNode;
import com.yahoo.searchlib.rankingexpression.transform.ExpressionTransformer;
import java.util.ArrayList;
import java.util.Arrays;
import java.util.List;
/**
* Transforms named references to constant tensors with the rank feature 'constant'.
*
* @author geirst
*/
public class ConstantTensorTransformer extends ExpressionTransformer<RankProfileTransformContext> {
public static final String CONSTANT = "constant";
@Override
public ExpressionNode transform(ExpressionNode node, RankProfileTransformContext context) {
if (node instanceof ReferenceNode) {
return transformFeature((ReferenceNode) node, context);
} else if (node instanceof CompositeNode) {
return transformChildren((CompositeNode) node, context);
} else {
return node;
}
}
private ExpressionNode transformFeature(ReferenceNode node, RankProfileTransformContext context) {
if ( ! node.getArguments().isEmpty()) {
return transformArguments(node, context);
} else {
return transformConstantReference(node, context);
}
}
private ExpressionNode transformArguments(ReferenceNode node, RankProfileTransformContext context) {
List<ExpressionNode> arguments = node.getArguments().expressions();
List<ExpressionNode> transformedArguments = new ArrayList<>(arguments.size());
for (ExpressionNode argument : arguments) {
transformedArguments.add(transform(argument, context));
}
return node.setArguments(transformedArguments);
}
private ExpressionNode transformConstantReference(ReferenceNode node, RankProfileTransformContext context) {
Value value = context.constants().get(node.getName());
if (value == null || !(value instanceof TensorValue)) {
return node;
}
TensorValue tensorValue = (TensorValue)value;
String featureName = CONSTANT + "(" + node.getName() + ")";
String tensorType = tensorValue.asTensor().type().toString();
context.rankPropertiesOutput().put(featureName + ".value", tensorValue.toString());
context.rankPropertiesOutput().put(featureName + ".type", tensorType);
return new ReferenceNode("constant", Arrays.asList(new NameNode(node.getName())), null);
}
}
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