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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.processing;
import com.yahoo.searchdefinition.parser.ParseException;
import org.junit.Rule;
import org.junit.Test;
import org.junit.rules.ExpectedException;
/**
* @author geirst
*/
public class RankingExpressionWithTensorTestCase {
@Test
public void requireThatSingleLineConstantTensorAndTypeCanBeParsed() throws ParseException {
RankProfileSearchFixture f = new RankProfileSearchFixture(
" rank-profile my_profile {\n" +
" first-phase {\n" +
" expression: sum(my_tensor)\n" +
" }\n" +
" constants {\n" +
" my_tensor {\n" +
" value: { {x:1,y:2}:1, {x:2,y:1}:2 }\n" +
" type: tensor(x{},y{})\n" +
" }\n" +
" }\n" +
" }");
f.compileRankProfile("my_profile");
f.assertFirstPhaseExpression("reduce(constant(my_tensor), sum)", "my_profile");
f.assertRankProperty("{{x:1,y:2}:1.0,{x:2,y:1}:2.0}", "constant(my_tensor).value", "my_profile");
f.assertRankProperty("tensor(x{},y{})", "constant(my_tensor).type", "my_profile");
}
@Test
public void requireThatMultiLineConstantTensorAndTypeCanBeParsed() throws ParseException {
RankProfileSearchFixture f = new RankProfileSearchFixture(
" rank-profile my_profile {\n" +
" first-phase {\n" +
" expression: sum(my_tensor)\n" +
" }\n" +
" constants {\n" +
" my_tensor {\n" +
" value {\n" +
" { {x:1,y:2}:1,\n" +
" {x:2,y:1}:2 }\n" +
" }\n" +
" type: tensor(x{},y{})\n" +
" }\n" +
" }\n" +
" }");
f.compileRankProfile("my_profile");
f.assertFirstPhaseExpression("reduce(constant(my_tensor), sum)", "my_profile");
f.assertRankProperty("{{x:1,y:2}:1.0,{x:2,y:1}:2.0}", "constant(my_tensor).value", "my_profile");
f.assertRankProperty("tensor(x{},y{})", "constant(my_tensor).type", "my_profile");
}
@Test
public void requireThatConstantTensorsCanBeUsedInSecondPhaseExpression() throws ParseException {
RankProfileSearchFixture f = new RankProfileSearchFixture(
" rank-profile my_profile {\n" +
" second-phase {\n" +
" expression: sum(my_tensor)\n" +
" }\n" +
" constants {\n" +
" my_tensor {\n" +
" value: { {x:1}:1 }\n" +
" }\n" +
" }\n" +
" }");
f.compileRankProfile("my_profile");
f.assertSecondPhaseExpression("reduce(constant(my_tensor), sum)", "my_profile");
f.assertRankProperty("{{x:1}:1.0}", "constant(my_tensor).value", "my_profile");
f.assertRankProperty("tensor(x{})", "constant(my_tensor).type", "my_profile");
}
@Test
public void requireThatConstantTensorsCanBeUsedInInheritedRankProfile() throws ParseException {
RankProfileSearchFixture f = new RankProfileSearchFixture(
" rank-profile parent {\n" +
" constants {\n" +
" my_tensor {\n" +
" value: { {x:1}:1 }\n" +
" }\n" +
" }\n" +
" }\n" +
" rank-profile my_profile inherits parent {\n" +
" first-phase {\n" +
" expression: sum(my_tensor)\n" +
" }\n" +
" }");
f.compileRankProfile("my_profile");
f.assertFirstPhaseExpression("reduce(constant(my_tensor), sum)", "my_profile");
f.assertRankProperty("{{x:1}:1.0}", "constant(my_tensor).value", "my_profile");
f.assertRankProperty("tensor(x{})", "constant(my_tensor).type", "my_profile");
}
@Test
public void requireThatConstantTensorsCanBeUsedInFunction() throws ParseException {
RankProfileSearchFixture f = new RankProfileSearchFixture(
" rank-profile my_profile {\n" +
" function my_macro() {\n" +
" expression: sum(my_tensor)\n" +
" }\n" +
" first-phase {\n" +
" expression: 5.0 + my_macro\n" +
" }\n" +
" constants {\n" +
" my_tensor {\n" +
" value: { {x:1}:1 }\n" +
" }\n" +
" }\n" +
" }");
f.compileRankProfile("my_profile");
f.assertFirstPhaseExpression("5.0 + my_macro", "my_profile");
f.assertFunction("reduce(constant(my_tensor), sum)", "my_macro", "my_profile");
f.assertRankProperty("{{x:1}:1.0}", "constant(my_tensor).value", "my_profile");
f.assertRankProperty("tensor(x{})", "constant(my_tensor).type", "my_profile");
}
@Test
public void requireThatCombinationOfConstantTensorsAndConstantValuesCanBeUsed() throws ParseException {
RankProfileSearchFixture f = new RankProfileSearchFixture(
" rank-profile my_profile {\n" +
" first-phase {\n" +
" expression: my_number_1 + sum(my_tensor) + my_number_2\n" +
" }\n" +
" constants {\n" +
" my_number_1: 3.0\n" +
" my_tensor {\n" +
" value: { {x:1}:1 }\n" +
" }\n" +
" my_number_2: 5.0\n" +
" }\n" +
" }");
f.compileRankProfile("my_profile");
f.assertFirstPhaseExpression("3.0 + reduce(constant(my_tensor), sum) + 5.0", "my_profile");
f.assertRankProperty("{{x:1}:1.0}", "constant(my_tensor).value", "my_profile");
f.assertRankProperty("tensor(x{})", "constant(my_tensor).type", "my_profile");
}
@Rule
public ExpectedException exception = ExpectedException.none();
@Test
public void requireThatInvalidTensorTypeSpecThrowsException() throws ParseException {
exception.expect(IllegalArgumentException.class);
exception.expectMessage("For constant tensor 'my_tensor' in rank profile 'my_profile': Illegal tensor type spec: Failed parsing element 'x' in type spec 'tensor(x)'");
RankProfileSearchFixture f = new RankProfileSearchFixture(
" rank-profile my_profile {\n" +
" constants {\n" +
" my_tensor {\n" +
" value: { {x:1}:1 }\n" +
" type: tensor(x)\n" +
" }\n" +
" }\n" +
" }");
f.compileRankProfile("my_profile");
}
}
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