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// Copyright 2016 Yahoo Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
package com.yahoo.searchlib.rankingexpression.evaluation;
import com.yahoo.javacc.UnicodeUtilities;
import com.yahoo.searchlib.rankingexpression.RankingExpression;
import com.yahoo.tensor.MapTensor;
import com.yahoo.searchlib.rankingexpression.parser.ParseException;
import com.yahoo.searchlib.rankingexpression.rule.*;
import org.junit.Test;
import java.util.HashMap;
import java.util.HashSet;
import java.util.Map;
import java.util.Set;
/**
* Tests expression evaluation
*
* @author bratseth
*/
public class EvaluationTestCase extends junit.framework.TestCase {
private MapContext defaultContext;
@Override
protected void setUp() {
Map<String, Value> bindings = new HashMap<String, Value>();
bindings.put("zero", DoubleValue.frozen(0d));
bindings.put("one", DoubleValue.frozen(1d));
bindings.put("one_half", DoubleValue.frozen(0.5d));
bindings.put("a_quarter", DoubleValue.frozen(0.25d));
bindings.put("foo", StringValue.frozen("foo"));
defaultContext = new MapContext(bindings);
}
public void testEvaluation() {
assertEvaluates(0.5, "0.5");
assertEvaluates(-0.5, "-0.5");
assertEvaluates(0.5, "one_half");
assertEvaluates(-0.5, "-one_half");
assertEvaluates(0, "nonexisting");
assertEvaluates(0.75, "0.5 + 0.25");
assertEvaluates(0.75, "one_half + a_quarter");
assertEvaluates(1.25, "0.5 - 0.25 + one");
// String
assertEvaluates(1, "if(\"a\"==\"a\",1,0)");
// Precedence
assertEvaluates(26, "2*3+4*5");
assertEvaluates(1, "2/6+4/6");
assertEvaluates(2 * 3 * 4 + 3 * 4 * 5 - 4 * 200 / 10, "2*3*4+3*4*5-4*200/10");
// Conditionals
assertEvaluates(2 * (3 * 4 + 3) * (4 * 5 - 4 * 200) / 10, "2*(3*4+3)*(4*5-4*200)/10");
assertEvaluates(0.5, "if( 2<3, one_half, one_quarter)");
assertEvaluates(0.25,"if( 2>3, one_half, a_quarter)");
assertEvaluates(0.5, "if( 1==1, one_half, a_quarter)");
assertEvaluates(0.5, "if( 1<=1, one_half, a_quarter)");
assertEvaluates(0.5, "if( 1<=1.1, one_half, a_quarter)");
assertEvaluates(0.25,"if( 1>=1.1, one_half, a_quarter)");
assertEvaluates(0.5, "if( 0.33333333333333333333~=1/3, one_half, a_quarter)");
assertEvaluates(0.25,"if( 0.33333333333333333333~=1/35, one_half, a_quarter)");
assertEvaluates(5.5, "if(one_half in [one_quarter,one_half], one_half+5,log(one_quarter) * one_quarter)");
assertEvaluates(0.5, "if( 1 in [1,2 , 3], one_half, a_quarter)");
assertEvaluates(0.25,"if( 1 in [ 2,3,4], one_half, a_quarter)");
assertEvaluates(0.5, "if( \"foo\" in [\"foo\",\"bar\"], one_half, a_quarter)");
assertEvaluates(0.5, "if( foo in [\"foo\",\"bar\"], one_half, a_quarter)");
assertEvaluates(0.5, "if( \"foo\" in [foo,\"bar\"], one_half, a_quarter)");
assertEvaluates(0.5, "if( foo in [foo,\"bar\"], one_half, a_quarter)");
assertEvaluates(0.25,"if( \"foo\" in [\"baz\",\"boz\"], one_half, a_quarter)");
assertEvaluates(0.5, "if( one in [0, 1, 2], one_half, a_quarter)");
assertEvaluates(0.25,"if( one in [2], one_half, a_quarter)");
assertEvaluates(2.5, "if(1.0, 2.5, 3.5)");
assertEvaluates(3.5, "if(0.0, 2.5, 3.5)");
assertEvaluates(2.5, "if(1.0-1.1, 2.5, 3.5)");
assertEvaluates(3.5, "if(1.0-1.0, 2.5, 3.5)");
// Conditionals with branch probabilities
RankingExpression e = assertEvaluates(3.5, "if(1.0-1.0, 2.5, 3.5, 0.3)");
assertEquals(0.3, ((IfNode) e.getRoot()).getTrueProbability());
// Conditionals as expressions
assertEvaluates(new BooleanValue(true), "2<3");
assertEvaluates(new BooleanValue(false), "2>3");
assertEvaluates(new BooleanValue(false), "if (3>2, 2>3, 5.0)");
assertEvaluates(new BooleanValue(true), "2>3<1"); // The result of 2>3 is converted to 0, which is <1
assertEvaluates(2.5, "if(2>3<1, 2.5, 3.5)");
assertEvaluates(2.5, "if(1+1>3<1+0, 2.5, 3.5)");
// Functions
assertEvaluates(0, "sin(0)");
assertEvaluates(1, "cos(0)");
assertEvaluates(8, "pow(4/2,min(cos(0)*3,5))");
// Combined
assertEvaluates(1.25, "5*if(1>=1.1, one_half, if(min(1,2)<max(1,2),if (\"foo\" in [\"foo\",\"bar\"],a_quarter,3000), 0.57345347))");
}
@Test
public void testTensorEvaluation() {
assertEvaluates("{}", "tensor0", "{}"); // empty
// sum(tensor)
assertEvaluates("{ {}:5.0 }", "sum(tensor0)", "5.0");
assertEvaluates("{ {}:-5.0 }", "sum(tensor0)", "-5.0");
assertEvaluates("{ {}:12.5 }", "sum(tensor0)", "{ {d1:l1}:5.5, {d2:l2}:7.0 }");
assertEvaluates("{ {}:0.0 }", "sum(tensor0)", "{ {d1:l1}:5.0, {d2:l2}:7.0, {}:-12.0}");
// scalar functions on tensors
assertEvaluates("{ {}:1, {d1:l1}:2, {d1:l1,d2:l1 }:3 }",
"log10(tensor0)", "{ {}:10, {d1:l1}:100, {d1:l1,d2:l1}:1000 }");
assertEvaluates("{ {}:50, {d1:l1}:500, {d1:l1,d2:l1}:5000 }",
"5 * tensor0", "{ {}:10, {d1:l1}:100, {d1:l1,d2:l1}:1000 }");
assertEvaluates("{ {}:13, {d1:l1}:103, {d1:l1,d2:l1}:1003 }",
"tensor0 + 3","{ {}:10, {d1:l1}:100, {d1:l1,d2:l1}:1000 }");
assertEvaluates("{ {}:1, {d1:l1}:10, {d1:l1,d2:l1 }:100 }",
"tensor0 / 10", "{ {}:10, {d1:l1}:100, {d1:l1,d2:l1}:1000 }");
assertEvaluates("{ {}:-10, {d1:l1}:-100, {d1:l1,d2:l1 }:-1000 }",
"- tensor0", "{ {}:10, {d1:l1}:100, {d1:l1,d2:l1}:1000 }");
assertEvaluates("{ {}:-10, {d1:l1}:0, {d1:l1,d2:l1 }:0 }",
"min(tensor0, 0)", "{ {}:-10, {d1:l1}:0, {d1:l1,d2:l1}:10 }");
assertEvaluates("{ {}:0, {d1:l1}:0, {d1:l1,d2:l1 }:10 }",
"max(tensor0, 0)", "{ {}:-10, {d1:l1}:0, {d1:l1,d2:l1}:10 }");
assertEvaluates("{ {h:1}:1.5, {h:2}:1.5 }", "0.5 + tensor0", "{ {h:1}:1.0,{h:2}:1.0 }");
// sum(tensor, dimension)
assertEvaluates("{ {y:1}:4.0, {y:2}:12.0 }",
"sum(tensor0, x)", "{ {x:1,y:1}:1.0, {x:2,y:1}:3.0, {x:1,y:2}:5.0, {x:2,y:2}:7.0 }");
assertEvaluates("{ {x:1}:6.0, {x:2}:10.0 }",
"sum(tensor0, y)", "{ {x:1,y:1}:1.0, {x:2,y:1}:3.0, {x:1,y:2}:5.0, {x:2,y:2}:7.0 }");
// tensor join
assertEvaluates("{ }", "tensor0 * tensor0", "{}");
assertEvaluates("tensor(x{},y{},z{}):{}", "( tensor0 * tensor1 ) * ( tensor2 * tensor1 )",
"{{x:-}:1}", "{}", "{{y:-,z:-}:1}"); // empty dimensions are preserved
assertEvaluates("tensor(x{}):{}",
"tensor0 * tensor1", "{ {x:1}:3 }", "{ {x:2}:5 }");
assertEvaluates("{ {x:1}:15 }",
"tensor0 * tensor1", "{ {x:1}:3 }", "{ {x:1}:5 }");
assertEvaluates("{ {x:1,y:1}:15 }",
"tensor0 * tensor1", "{ {x:1}:3 }", "{ {y:1}:5 }");
assertEvaluates("{ {x:1,y:1}:15, {x:2,y:1}:35 }",
"tensor0 * tensor1", "{ {x:1}:3, {x:2}:7 }", "{ {y:1}:5 }");
assertEvaluates("{ {x:1,y:1}:8, {x:2,y:1}:12 }",
"tensor0 + tensor1", "{ {x:1}:3, {x:2}:7 }", "{ {y:1}:5 }");
assertEvaluates("{ {x:1,y:1}:-2, {x:2,y:1}:2 }",
"tensor0 - tensor1", "{ {x:1}:3, {x:2}:7 }", "{ {y:1}:5 }");
assertEvaluates("{ {x:1,y:1}:5, {x:2,y:1}:4 }",
"tensor0 / tensor1", "{ {x:1}:15, {x:2}:12 }", "{ {y:1}:3 }");
assertEvaluates("{ {x:1,y:1}:5, {x:2,y:1}:7 }",
"max(tensor0, tensor1)", "{ {x:1}:3, {x:2}:7 }", "{ {y:1}:5 }");
assertEvaluates("{ {x:1,y:1}:3, {x:2,y:1}:5 }",
"min(tensor0, tensor1)", "{ {x:1}:3, {x:2}:7 }", "{ {y:1}:5 }");
assertEvaluates("{ {x:1,y:1,z:1}:7, {x:1,y:1,z:2}:13, {x:2,y:1,z:1}:21, {x:2,y:1,z:2}:39, {x:1,y:2,z:1}:55 }",
"tensor0 * tensor1", "{ {x:1,y:1}:1, {x:2,y:1}:3, {x:1,y:2}:5 }", "{ {y:1,z:1}:7, {y:2,z:1}:11, {y:1,z:2}:13 }");
assertEvaluates("{{x:1,y:1}:0.0}","tensor1 * tensor2 * tensor3", "{ {x:1}:1 }", "{ {x:2,y:1}:1, {x:1,y:1}:1 }", "{ {x:1,y:1}:1 }");
// Combined
assertEvaluates(String.valueOf(7.5 + 45 + 1.7),
"sum( " + // model computation:
" tensor0 * tensor1 * tensor2 " + // - feature combinations
" * tensor3" + // - model weights application
") + 1.7",
"{ {x:1}:1, {x:2}:2 }", "{ {y:1}:3, {y:2}:4 }", "{ {z:1}:5 }",
"{ {x:1,y:1,z:1}:0.5, {x:2,y:1,z:1}:1.5, {x:1,y:1,z:2}:4.5 }");
// undefined is not the same as 0
assertEvaluates("1.0", "sum(tensor0 * tensor1 + 0.5)", "{ {x:1}:0, {x:2}:0 }", "{ {x:1}:1, {x:2}:1 }");
assertEvaluates("0.0", "sum(tensor0 * tensor1 + 0.5)", "{}", "{ {x:1}:1, {x:2}:1 }");
// tensor result dimensions are given from argument dimensions, not the resulting values
assertEvaluates("tensor(x{}):{}", "tensor0 * tensor1", "{ {x:1}:1 }", "{ {x:2}:1 }");
assertEvaluates("tensor(x{},y{}):{{x:1}:1.0}", "tensor0 * tensor1", "{ {x:1}:1 }", "{ {x:2,y:1}:1, {x:1}:1 }");
}
public void testProgrammaticBuildingAndPrecedence() {
RankingExpression standardPrecedence = new RankingExpression(new ArithmeticNode(constant(2), ArithmeticOperator.PLUS, new ArithmeticNode(constant(3), ArithmeticOperator.MULTIPLY, constant(4))));
RankingExpression oppositePrecedence = new RankingExpression(new ArithmeticNode(new ArithmeticNode(constant(2), ArithmeticOperator.PLUS, constant(3)), ArithmeticOperator.MULTIPLY, constant(4)));
assertEquals(14.0, standardPrecedence.evaluate(null).asDouble());
assertEquals(20.0, oppositePrecedence.evaluate(null).asDouble());
assertEquals("2.0 + 3.0 * 4.0", standardPrecedence.toString());
assertEquals("(2.0 + 3.0) * 4.0", oppositePrecedence.toString());
}
private ConstantNode constant(double value) {
return new ConstantNode(new DoubleValue(value));
}
public void testStructuredVariableEvaluation() {
Context context = new StructuredTestContext();
//assertEvaluates(77,"average(6,8)+average(6,8).timesten",context);
assertEvaluates(77, "average(\"2*3\",\"pow(2,3)\")+average(\"2*3\",\"pow(2,3)\").timesten", context);
}
private RankingExpression assertEvaluates(String expectedTensor, String expressionString, String ... tensorArguments) {
MapContext context = defaultContext.thawedCopy();
int argumentIndex = 0;
for (String tensorArgument : tensorArguments)
context.put("tensor" + (argumentIndex++), new TensorValue(MapTensor.from(tensorArgument)));
return assertEvaluates(new TensorValue(MapTensor.from(expectedTensor)), expressionString, context);
}
/** Validate also that the dimension of the resulting tensors are as expected */
private RankingExpression assertEvaluates_old(String tensorDimensions, String resultTensor, String expressionString) {
RankingExpression expression = assertEvaluates(new TensorValue(MapTensor.from(resultTensor)), expressionString, defaultContext);
TensorValue value = (TensorValue)expression.evaluate(defaultContext);
assertEquals(toSet(tensorDimensions), value.asTensor().dimensions());
assertEquals("String values are equals", resultTensor, expression.evaluate(defaultContext).toString());
return expression;
}
private RankingExpression assertEvaluates(Value value, String expressionString) {
return assertEvaluates(value, expressionString, defaultContext);
}
private RankingExpression assertEvaluates(double value, String expressionString) {
return assertEvaluates(value, expressionString, defaultContext);
}
private RankingExpression assertEvaluates(double value, String expressionString, Context context) {
return assertEvaluates(new DoubleValue(value), expressionString, context);
}
private RankingExpression assertEvaluates(Value value, String expressionString, Context context) {
try {
RankingExpression expression = new RankingExpression(expressionString);
assertEquals(expression.toString(), value, expression.evaluate(context));
return expression;
}
catch (ParseException e) {
throw new RuntimeException(e);
}
}
/** Turns a comma-separated string into a set of string values */
private Set<String> toSet(String values) {
Set<String> set = new HashSet<>();
for (String value : values.split(","))
set.add(value.trim());
return set;
}
private static class StructuredTestContext extends MapContext {
@Override
public Value get(String name, Arguments arguments, String output) {
if (!name.equals("average")) {
throw new IllegalArgumentException("Unknown operation '" + name + "'");
}
if (arguments.expressions().size() != 2) {
throw new IllegalArgumentException("'average' takes 2 arguments");
}
if (output != null && !output.equals("timesten")) {
throw new IllegalArgumentException("Unknown 'average' output '" + output + "'");
}
Value result = evaluateStringAsExpression(0, arguments).add(evaluateStringAsExpression(1, arguments)).divide(new DoubleValue(2));
if ("timesten".equals(output)) {
result = result.multiply(new DoubleValue(10));
}
return result;
}
private Value evaluateStringAsExpression(int index, Arguments arguments) {
try {
ExpressionNode e = arguments.expressions().get(index);
if (e instanceof ConstantNode) {
return new DoubleValue(new RankingExpression(UnicodeUtilities.unquote(((ConstantNode)e).sourceString())).evaluate(this).asDouble());
}
return e.evaluate(this);
}
catch (ParseException e) {
throw new RuntimeException("Could not evaluate argument '" + index + "'", e);
}
}
}
}
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