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// Copyright 2017 Yahoo Inc. Licensed under the terms of the Apache 2.0 license. See LICENSE in the project root.
#include <vespa/searchlib/features/dotproductfeature.h>
#include <vespa/searchlib/test/imported_attribute_fixture.h>
#include <vespa/searchlib/fef/test/ftlib.h>
#include <vespa/searchlib/fef/test/rankresult.h>
#include <vespa/searchlib/fef/test/dummy_dependency_handler.h>
using namespace search;
using namespace search::attribute;
using namespace search::features;
using namespace search::fef;
using namespace search::fef::test;
template <typename T>
std::unique_ptr<fef::Anything> create_param(const vespalib::string& param) {
Properties props;
props.add("foo", param);
return std::make_unique<dotproduct::ArrayParam<T>>(props.lookup("foo"));
}
struct FixtureBase : ImportedAttributeFixture {
BlueprintFactory _factory;
FixtureBase() {
DotProductBlueprint bp;
_factory.addPrototype(bp.createInstance());
}
// Both array and wset attributes can have integer "key" types, so we let specific
// sub-fixtures implement the mappings.
virtual void setup_integer_mappings(BasicType int_type) = 0;
void check_single_execution(feature_t expected,
const vespalib::string& vector,
DocId doc_id,
std::unique_ptr<fef::Anything> pre_parsed = std::unique_ptr<fef::Anything>()) {
RankResult result;
result.addScore("dotProduct(" + imported_attr->getName() + ",vector)", expected);
result.setEpsilon(0.00001);
FtFeatureTest feature(_factory, result.getKeys());
feature.getQueryEnv().getProperties().add("dotProduct.vector", vector);
if (pre_parsed) {
feature.getQueryEnv().getObjectStore().add("dotProduct.vector.object", std::move(pre_parsed));
}
feature.getIndexEnv().getAttributeMap().add(imported_attr);
fef::CollectionType collection_type(
(imported_attr->getCollectionType() == attribute::CollectionType::ARRAY)
? fef::CollectionType::ARRAY : fef::CollectionType::WEIGHTEDSET);
feature.getIndexEnv().getBuilder().addField(
FieldType::ATTRIBUTE, collection_type, imported_attr->getName());
ASSERT_TRUE(feature.setup());
EXPECT_TRUE(feature.execute(result, doc_id));
}
template <typename BaseFullWidthType, typename PerTypeSetupFunctor>
void check_executions(PerTypeSetupFunctor setup_func,
const std::vector<BasicType>& types,
feature_t expected,
const vespalib::string& vector,
DocId doc_id,
const vespalib::string& shared_param = "") {
for (auto type : types) {
setup_func(type);
std::unique_ptr<fef::Anything> pre_parsed;
if (!shared_param.empty()) {
pre_parsed = create_param<BaseFullWidthType>(shared_param);
}
check_single_execution(expected, vector, doc_id, std::move(pre_parsed));
}
}
void check_all_integer_executions(feature_t expected,
const vespalib::string& vector,
DocId doc_id,
const vespalib::string& shared_param = "") {
check_executions<int64_t>([this](auto int_type){ this->setup_integer_mappings(int_type); },
{{BasicType::INT32, BasicType::INT64}},
expected, vector, doc_id, shared_param);
}
};
struct ArrayFixture : FixtureBase {
void setup_integer_mappings(BasicType int_type) override {
reset_with_array_value_reference_mappings<IntegerAttribute, int64_t>(
int_type,
{{DocId(1), dummy_gid(3), DocId(3), {{2, 3, 5}}},
{DocId(3), dummy_gid(7), DocId(7), {{7, 11}}},
{DocId(5), dummy_gid(8), DocId(8), {{13, 17, 19, 23}}}});
}
void setup_float_mappings(BasicType float_type) {
reset_with_array_value_reference_mappings<FloatingPointAttribute, double>(
float_type,
{{DocId(2), dummy_gid(4), DocId(4), {{2.2, 3.3, 5.5}}},
{DocId(4), dummy_gid(8), DocId(8), {{7.7, 11.11}}},
{DocId(6), dummy_gid(9), DocId(9), {{13.1, 17.2, 19.3, 23.4}}}});
}
template <typename ExpectedType>
void check_prepare_state_output(const vespalib::string& input_vector) {
FtFeatureTest feature(_factory, "");
DotProductBlueprint bp;
DummyDependencyHandler dependency_handler(bp);
ParameterList params({Parameter(ParameterType::ATTRIBUTE, imported_attr->getName()),
Parameter(ParameterType::STRING, "fancyvector")});
feature.getIndexEnv().getAttributeMap().add(imported_attr);
feature.getIndexEnv().getBuilder().addField(
FieldType::ATTRIBUTE, fef::CollectionType::ARRAY, imported_attr->getName());
bp.setup(feature.getIndexEnv(), params);
feature.getQueryEnv().getProperties().add("dotProduct.fancyvector", input_vector);
auto& obj_store = feature.getQueryEnv().getObjectStore();
bp.prepareSharedState(feature.getQueryEnv(), obj_store);
// Resulting name is very implementation defined. But at least the tests will break if it changes.
const auto* parsed = obj_store.get("dotProduct.fancyvector.object");
ASSERT_TRUE(parsed != nullptr);
const auto* as_object = dynamic_cast<const ExpectedType*>(parsed);
ASSERT_TRUE(as_object != nullptr);
// We don't test the parsed output values here; that's the responsibility of other tests.
}
void check_all_float_executions(feature_t expected,
const vespalib::string& vector,
DocId doc_id,
const vespalib::string& shared_param = "") {
check_executions<double>([this](auto float_type){ this->setup_float_mappings(float_type); },
{{BasicType::FLOAT, BasicType::DOUBLE}},
expected, vector, doc_id, shared_param);
}
};
TEST_F("Dense i32/i64 array dot products can be evaluated with string parameter", ArrayFixture) {
f.check_all_integer_executions(2*2 + 3*3 + 5*4, "[2 3 4]", DocId(1));
}
TEST_F("Dense float/double array dot products can be evaluated with string parameter", ArrayFixture) {
f.check_all_float_executions(2.2*7.7 + 3.3*11.11 + 5.5*13.13, "[7.7 11.11 13.13]", DocId(2));
}
TEST_F("Zero-length i32/i64 array query vector evaluates to zero", ArrayFixture) {
f.check_all_integer_executions(0, "[]", DocId(1));
}
TEST_F("Zero-length float/double array query vector evaluates to zero", ArrayFixture) {
f.check_all_float_executions(0, "[]", DocId(1));
}
TEST_F("prepareSharedState emits i64 vector for i32 imported attribute", ArrayFixture) {
f.setup_integer_mappings(BasicType::INT32);
f.template check_prepare_state_output<dotproduct::ArrayParam<int64_t>>("[101 202 303]");
}
TEST_F("prepareSharedState emits i64 vector for i64 imported attribute", ArrayFixture) {
f.setup_integer_mappings(BasicType::INT64);
f.template check_prepare_state_output<dotproduct::ArrayParam<int64_t>>("[101 202 303]");
}
TEST_F("prepareSharedState emits double vector for float imported attribute", ArrayFixture) {
f.setup_float_mappings(BasicType::FLOAT);
f.template check_prepare_state_output<dotproduct::ArrayParam<double>>("[10.1 20.2 30.3]");
}
TEST_F("prepareSharedState emits double vector for double imported attribute", ArrayFixture) {
f.setup_float_mappings(BasicType::DOUBLE);
f.template check_prepare_state_output<dotproduct::ArrayParam<double>>("[10.1 20.2 30.3]");
}
TEST_F("Dense i32/i64 array dot product can be evaluated with pre-parsed object parameter", ArrayFixture) {
f.check_all_integer_executions(2*5 + 3*6 + 5*7, "[2 3 4]", DocId(1), "[5 6 7]"); // String input is ignored in favor of stored object
}
TEST_F("Dense float/double array dot product can be evaluated with pre-parsed object parameter", ArrayFixture) {
f.check_all_float_executions(2.2*7.7 + 3.3*11.11 + 5.5*13.13, "[2.0 3.0 4.0]", DocId(2), "[7.7 11.11 13.13]");
}
TEST_F("Sparse i32/i64 array dot products can be evaluated with string parameter", ArrayFixture) {
// Have an outlier index to prevent auto-flattening of sparse input
f.check_all_integer_executions(2*13 + 4*23, "{0:2,3:4,50:100}", DocId(5));
}
TEST_F("Sparse float/double array dot products can be evaluated with string parameter", ArrayFixture) {
f.check_all_float_executions(2.5*13.1 + 4.25*23.4, "{0:2.5,3:4.25,50:100.1}", DocId(6));
}
TEST_F("Sparse i32/i64 array dot products can be evaluated with pre-parsed object parameter", ArrayFixture) {
// As before, we cheat a bit by having a different raw string vector than the pre-parsed vector.
f.check_all_integer_executions(2*13 + 4*23, "[0 0 0]", DocId(5), "{0:2,3:4,50:100}");
}
TEST_F("Sparse float/double array dot products can be evaluated with pre-parsed object parameter", ArrayFixture) {
f.check_all_float_executions(2.5*13.1 + 4.25*23.4, "[0 0 0]", DocId(6), "{0:2.5,3:4.25,50:100.1}");
}
struct WsetFixture : FixtureBase {
void setup_integer_mappings(BasicType int_type) override {
const std::vector<WeightedInt> doc7_values({WeightedInt(200, 7), WeightedInt(300, 13)});
reset_with_wset_value_reference_mappings<IntegerAttribute, WeightedInt>(
int_type,
{{DocId(3), dummy_gid(7), DocId(7), doc7_values}});
}
};
TEST_F("i32/i64 wset dot products can be evaluated with string parameter", WsetFixture) {
f.check_all_integer_executions(21*7 + 19*13, "{200:21,300:19,999:1234}", DocId(3));
}
TEST_F("string wset dot products can be evaluated with string parameter", WsetFixture) {
std::vector<WeightedString> doc7_values{{WeightedString("bar", 7), WeightedString("baz", 41)}};
reset_with_wset_value_reference_mappings<StringAttribute, WeightedString>(
f, BasicType::STRING,
{{DocId(3), dummy_gid(7), DocId(7), doc7_values}});
f.check_single_execution(5*7 + 3*41, "{bar:5,baz:3,nosuchkey:1234}", DocId(3));
}
TEST_F("integer enum dot products can be evaluated with string parameter", WsetFixture) {
const std::vector<WeightedInt> doc7_values({WeightedInt(200, 7), WeightedInt(300, 13)});
// We only check i32 here, since the enum (fast search) aspect is what matters here.
reset_with_wset_value_reference_mappings<IntegerAttribute, WeightedInt>(
f, BasicType::INT32,
{{DocId(3), dummy_gid(7), DocId(7), doc7_values}},
FastSearchConfig::ExplicitlyEnabled);
f.check_single_execution(21*7 + 19*13, "{200:21,300:19,999:1234}", DocId(3));
}
// Observed TODOs out of scope for these tests:
// - pre-parsed vectors not currently implemented for weighted sets.
// - non-imported cases should also be tested for prepareSharedState.
TEST_MAIN() { TEST_RUN_ALL(); }
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