| /* |
| * Copyright (C) 2025 The Android Open Source Project |
| * |
| * 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 "src/trace_processor/dataframe/impl/slab.h" |
| |
| #include <cstddef> |
| #include <cstdint> |
| #include <utility> |
| |
| #include "test/gtest_and_gmock.h" |
| |
| namespace perfetto::trace_processor::dataframe::impl { |
| namespace { |
| |
| // Test that the default constructor creates an empty slab |
| TEST(SlabTest, DefaultConstructor) { |
| Slab<int> slab; |
| EXPECT_EQ(slab.size(), 0u); |
| EXPECT_EQ(slab.data(), nullptr); |
| } |
| |
| // Test that Alloc creates a slab of the requested size |
| TEST(SlabTest, AllocationWithSize) { |
| constexpr size_t kSize = 10; |
| auto slab = Slab<int>::Alloc(kSize); |
| |
| EXPECT_EQ(slab.size(), kSize); |
| EXPECT_NE(slab.data(), nullptr); |
| } |
| |
| // Test element access and modification |
| TEST(SlabTest, ElementAccessAndModification) { |
| constexpr size_t kSize = 5; |
| auto slab = Slab<int>::Alloc(kSize); |
| |
| // Initialize elements |
| for (size_t i = 0; i < kSize; ++i) { |
| slab[i] = static_cast<int>(i * 100); |
| } |
| |
| // Verify elements |
| for (size_t i = 0; i < kSize; ++i) { |
| EXPECT_EQ(slab[i], static_cast<int>(i * 100)); |
| } |
| |
| // Modify elements |
| slab[2] = 42; |
| EXPECT_EQ(slab[2], 42); |
| } |
| |
| // Test move constructor |
| TEST(SlabTest, MoveConstructor) { |
| constexpr size_t kSize = 5; |
| auto slab1 = Slab<int>::Alloc(kSize); |
| |
| // Initialize elements |
| for (size_t i = 0; i < kSize; ++i) { |
| slab1[i] = static_cast<int>(i); |
| } |
| |
| // Move construct |
| Slab<int> slab2(std::move(slab1)); |
| |
| // New slab should have the data |
| EXPECT_EQ(slab2.size(), kSize); |
| for (size_t i = 0; i < kSize; ++i) { |
| EXPECT_EQ(slab2[i], static_cast<int>(i)); |
| } |
| } |
| |
| // Test move assignment |
| TEST(SlabTest, MoveAssignment) { |
| constexpr size_t kSize1 = 5; |
| constexpr size_t kSize2 = 3; |
| |
| auto slab1 = Slab<int>::Alloc(kSize1); |
| auto slab2 = Slab<int>::Alloc(kSize2); |
| |
| // Initialize elements |
| for (size_t i = 0; i < kSize1; ++i) { |
| slab1[i] = static_cast<int>(i + 10); |
| } |
| |
| for (size_t i = 0; i < kSize2; ++i) { |
| slab2[i] = static_cast<int>(i + 20); |
| } |
| |
| // Move assign |
| slab2 = std::move(slab1); |
| |
| // Target slab should have new data |
| EXPECT_EQ(slab2.size(), kSize1); |
| for (size_t i = 0; i < kSize1; ++i) { |
| EXPECT_EQ(slab2[i], static_cast<int>(i + 10)); |
| } |
| } |
| |
| // Test range-based for loop iteration |
| TEST(SlabTest, RangeBasedForLoop) { |
| constexpr size_t kSize = 5; |
| auto slab = Slab<int>::Alloc(kSize); |
| |
| // Initialize elements |
| for (size_t i = 0; i < kSize; ++i) { |
| slab[i] = static_cast<int>(i + 1); |
| } |
| |
| // Use range-based for loop to sum values |
| int sum = 0; |
| for (int value : slab) { |
| sum += value; |
| } |
| |
| // Sum should be 1+2+3+4+5 = 15 |
| EXPECT_EQ(sum, 15); |
| } |
| |
| // Test with different data types |
| TEST(SlabTest, DifferentDataTypes) { |
| // Test with a larger type |
| struct LargeType { |
| double values[16]; |
| }; |
| |
| auto slab = Slab<LargeType>::Alloc(5); |
| EXPECT_EQ(slab.size(), 5u); |
| |
| // Test we can modify the data |
| LargeType item; |
| for (int i = 0; i < 16; ++i) { |
| item.values[i] = static_cast<double>(i); |
| } |
| |
| slab[2] = item; |
| |
| for (int i = 0; i < 16; ++i) { |
| EXPECT_EQ(slab[2].values[i], static_cast<double>(i)); |
| } |
| } |
| |
| } // namespace |
| } // namespace perfetto::trace_processor::dataframe::impl |