milvus/internal/core/unittest/test_bool_index.cpp
Cai Yudong 7385770014
Upgrade to knowhere-v1.1.12 (#17692)
Signed-off-by: yudong.cai <yudong.cai@zilliz.com>
2022-06-24 10:34:18 +08:00

210 lines
6.1 KiB
C++

// Copyright (C) 2019-2020 Zilliz. All rights reserved.
//
// Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance
// with the License. You may obtain a copy of the License at
//
// http://www.apache.org/licenses/LICENSE-2.0
//
// Unless required by applicable law or agreed to in writing, software distributed under the License
// is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express
// or implied. See the License for the specific language governing permissions and limitations under the License
#include <gtest/gtest.h>
#include <knowhere/index/vector_index/helpers/IndexParameter.h>
#include <pb/schema.pb.h>
#include <index/BoolIndex.h>
#include "test_utils/indexbuilder_test_utils.h"
class BoolIndexTest : public ::testing::Test {
protected:
void
SetUp() override {
n = 8;
for (size_t i = 0; i < n; i++) {
*(all_true.mutable_data()->Add()) = true;
*(all_false.mutable_data()->Add()) = false;
*(half.mutable_data()->Add()) = (i % 2) == 0;
}
all_true_ds = GenDsFromPB(all_true);
all_false_ds = GenDsFromPB(all_false);
half_ds = GenDsFromPB(half);
}
void
TearDown() override {
delete[](char*)(knowhere::GetDatasetTensor(all_true_ds));
delete[](char*)(knowhere::GetDatasetTensor(all_false_ds));
delete[](char*)(knowhere::GetDatasetTensor(half_ds));
}
protected:
schemapb::BoolArray all_true;
schemapb::BoolArray all_false;
schemapb::BoolArray half;
knowhere::DatasetPtr all_true_ds;
knowhere::DatasetPtr all_false_ds;
knowhere::DatasetPtr half_ds;
size_t n;
std::vector<ScalarTestParams> params;
};
TEST_F(BoolIndexTest, Constructor) {
auto index = milvus::scalar::CreateBoolIndex();
}
TEST_F(BoolIndexTest, Count) {
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(all_true_ds);
ASSERT_EQ(n, index->Count());
}
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(all_false_ds);
ASSERT_EQ(n, index->Count());
}
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(half_ds);
ASSERT_EQ(n, index->Count());
}
}
TEST_F(BoolIndexTest, In) {
auto true_test = std::make_unique<bool>(true);
auto false_test = std::make_unique<bool>(false);
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(all_true_ds);
auto bitset1 = index->In(1, true_test.get());
ASSERT_TRUE(bitset1->any());
auto bitset2 = index->In(1, false_test.get());
ASSERT_TRUE(bitset2->none());
}
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(all_false_ds);
auto bitset1 = index->In(1, true_test.get());
ASSERT_TRUE(bitset1->none());
auto bitset2 = index->In(1, false_test.get());
ASSERT_TRUE(bitset2->any());
}
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(half_ds);
auto bitset1 = index->In(1, true_test.get());
for (size_t i = 0; i < n; i++) {
ASSERT_EQ(bitset1->test(i), (i % 2) == 0);
}
auto bitset2 = index->In(1, false_test.get());
for (size_t i = 0; i < n; i++) {
ASSERT_EQ(bitset2->test(i), (i % 2) != 0);
}
}
}
TEST_F(BoolIndexTest, NotIn) {
auto true_test = std::make_unique<bool>(true);
auto false_test = std::make_unique<bool>(false);
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(all_true_ds);
auto bitset1 = index->NotIn(1, true_test.get());
ASSERT_TRUE(bitset1->none());
auto bitset2 = index->NotIn(1, false_test.get());
ASSERT_TRUE(bitset2->any());
}
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(all_false_ds);
auto bitset1 = index->NotIn(1, true_test.get());
ASSERT_TRUE(bitset1->any());
auto bitset2 = index->NotIn(1, false_test.get());
ASSERT_TRUE(bitset2->none());
}
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(half_ds);
auto bitset1 = index->NotIn(1, true_test.get());
for (size_t i = 0; i < n; i++) {
ASSERT_EQ(bitset1->test(i), (i % 2) != 0);
}
auto bitset2 = index->NotIn(1, false_test.get());
for (size_t i = 0; i < n; i++) {
ASSERT_EQ(bitset2->test(i), (i % 2) == 0);
}
}
}
TEST_F(BoolIndexTest, Codec) {
auto true_test = std::make_unique<bool>(true);
auto false_test = std::make_unique<bool>(false);
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(all_true_ds);
auto copy_index = milvus::scalar::CreateBoolIndex();
copy_index->Load(index->Serialize(nullptr));
auto bitset1 = copy_index->NotIn(1, true_test.get());
ASSERT_TRUE(bitset1->none());
auto bitset2 = copy_index->NotIn(1, false_test.get());
ASSERT_TRUE(bitset2->any());
}
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(all_false_ds);
auto copy_index = milvus::scalar::CreateBoolIndex();
copy_index->Load(index->Serialize(nullptr));
auto bitset1 = copy_index->NotIn(1, true_test.get());
ASSERT_TRUE(bitset1->any());
auto bitset2 = copy_index->NotIn(1, false_test.get());
ASSERT_TRUE(bitset2->none());
}
{
auto index = milvus::scalar::CreateBoolIndex();
index->BuildWithDataset(half_ds);
auto copy_index = milvus::scalar::CreateBoolIndex();
copy_index->Load(index->Serialize(nullptr));
auto bitset1 = copy_index->NotIn(1, true_test.get());
for (size_t i = 0; i < n; i++) {
ASSERT_EQ(bitset1->test(i), (i % 2) != 0);
}
auto bitset2 = copy_index->NotIn(1, false_test.get());
for (size_t i = 0; i < n; i++) {
ASSERT_EQ(bitset2->test(i), (i % 2) == 0);
}
}
}