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// Copyright (c) 2021, Alliance for Open Media. All rights reserved
//
// This source code is subject to the terms of the BSD 2 Clause License and
// the Alliance for Open Media Patent License 1.0. If the BSD 2 Clause License
// was not distributed with this source code in the LICENSE file, you can
// obtain it at www.aomedia.org/license/software. If the Alliance for Open
// Media Patent License 1.0 was not distributed with this source code in the
// PATENTS file, you can obtain it at www.aomedia.org/license/patent.
#include "avifinfo.h"
#include <algorithm>
#include <fstream>
#include <vector>
#include "gtest/gtest.h"
namespace {
using Data = std::vector<uint8_t>;
Data LoadFile(const char file_name[]) {
std::ifstream file(file_name, std::ios::binary | std::ios::ate);
if (!file) return Data();
const auto file_size = file.tellg();
Data bytes(file_size * sizeof(char));
file.seekg(0); // Rewind.
return file.read(reinterpret_cast<char*>(bytes.data()), file_size) ? bytes
: Data();
}
void WriteBigEndian(uint32_t value, uint32_t num_bytes, uint8_t* input) {
for (int i = num_bytes - 1; i >= 0; --i) {
input[i] = value & 0xff;
value >>= 8;
}
}
bool SetPrimaryItemIdToGainmapId(Data& input) {
AvifInfoFeatures f;
if (AvifInfoGetFeatures(input.data(), input.size(), &f) != kAvifInfoOk) {
return false;
}
WriteBigEndian(f.gainmap_item_id, f.primary_item_id_bytes,
&input[f.primary_item_id_location]);
return true;
}
void ExpectEqual(const AvifInfoFeatures& actual,
const AvifInfoFeatures& expected) {
EXPECT_EQ(actual.width, expected.width);
EXPECT_EQ(actual.height, expected.height);
EXPECT_EQ(actual.bit_depth, expected.bit_depth);
EXPECT_EQ(actual.num_channels, expected.num_channels);
EXPECT_EQ(actual.has_gainmap, expected.has_gainmap);
EXPECT_EQ(actual.gainmap_item_id, expected.gainmap_item_id);
EXPECT_EQ(actual.primary_item_id_location, expected.primary_item_id_location);
EXPECT_EQ(actual.primary_item_id_bytes, expected.primary_item_id_bytes);
}
//------------------------------------------------------------------------------
// Positive tests
TEST(AvifInfoGetTest, Ok) {
const Data input = LoadFile("avifinfo_test_1x1.avif");
ASSERT_FALSE(input.empty());
ASSERT_EQ(AvifInfoIdentify(input.data(), input.size()), kAvifInfoOk);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(input.data(), input.size(), &f), kAvifInfoOk);
ExpectEqual(f, {.width = 1u,
.height = 1u,
.bit_depth = 8u,
.num_channels = 3u,
.has_gainmap = 0u,
.primary_item_id_location = 96u,
.primary_item_id_bytes = 2u});
}
TEST(AvifInfoGetTest, WithAlpha) {
const Data input = LoadFile("avifinfo_test_2x2_alpha.avif");
ASSERT_FALSE(input.empty());
ASSERT_EQ(AvifInfoIdentify(input.data(), input.size()), kAvifInfoOk);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(input.data(), input.size(), &f), kAvifInfoOk);
ExpectEqual(f, {.width = 2u,
.height = 2u,
.bit_depth = 8u,
.num_channels = 4u,
.has_gainmap = 0u,
.primary_item_id_location = 96u,
.primary_item_id_bytes = 2u});
}
TEST(AvifInfoGetTest, WithGainmap) {
const Data input = LoadFile("avifinfo_test_20x20_gainmap.avif");
ASSERT_FALSE(input.empty());
ASSERT_EQ(AvifInfoIdentify(input.data(), input.size()), kAvifInfoOk);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(input.data(), input.size(), &f), kAvifInfoOk);
ExpectEqual(f, {.width = 20u,
.height = 20u,
.bit_depth = 8u,
.num_channels = 3u,
.has_gainmap = 1u,
.gainmap_item_id = 2u,
.primary_item_id_location = 96u,
.primary_item_id_bytes = 2u});
Data gainmap = input;
ASSERT_TRUE(SetPrimaryItemIdToGainmapId(gainmap));
ASSERT_EQ(AvifInfoIdentify(gainmap.data(), gainmap.size()), kAvifInfoOk);
AvifInfoFeatures gainmap_f;
ASSERT_EQ(AvifInfoGetFeatures(gainmap.data(), gainmap.size(), &gainmap_f),
kAvifInfoOk);
// TODO(maryla-uc): find a small test file with a gainmap that is smaller
// than the main image.
ExpectEqual(gainmap_f, {.width = 20u,
.height = 20u,
.bit_depth = 8u,
.num_channels = 1u, // the gainmap is monochrome
.has_gainmap = 1u,
.gainmap_item_id = 2u,
.primary_item_id_location = 96u,
.primary_item_id_bytes = 2u});
}
TEST(AvifInfoGetTest, WithGainmapTmap) {
for (const char* file_name :
{"avifinfo_test_12x34_gainmap_tmap.avif",
"avifinfo_test_12x34_gainmap_tmap_iref_after_iprp.avif"}) {
SCOPED_TRACE(file_name);
const Data input = LoadFile(file_name);
ASSERT_FALSE(input.empty());
ASSERT_EQ(AvifInfoIdentify(input.data(), input.size()), kAvifInfoOk);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(input.data(), input.size(), &f), kAvifInfoOk);
ExpectEqual(f, {.width = 12u,
.height = 34u,
.bit_depth = 10u,
.num_channels = 4u,
.has_gainmap = 1u,
.gainmap_item_id = 4u,
.primary_item_id_location = 96u,
.primary_item_id_bytes = 2u});
Data gainmap = input;
ASSERT_TRUE(SetPrimaryItemIdToGainmapId(gainmap));
ASSERT_EQ(AvifInfoIdentify(gainmap.data(), gainmap.size()), kAvifInfoOk);
AvifInfoFeatures gainmap_f;
ASSERT_EQ(AvifInfoGetFeatures(gainmap.data(), gainmap.size(), &gainmap_f),
kAvifInfoOk);
// Note that num_channels says 4 even though the alpha plane is associated
// to the main image and not the gain map, but libavifinfo does not check
// this.
ExpectEqual(gainmap_f, {.width = 6u,
.height = 17u,
.bit_depth = 8u,
.num_channels = 4u,
.has_gainmap = 1u,
.gainmap_item_id = 4u,
.primary_item_id_location = 96u,
.primary_item_id_bytes = 2u});
}
}
TEST(AvifInfoGetTest, NoPixi10b) {
// Same as above but "meta" box size is stored as 64 bits, "av1C" has
// 'high_bitdepth' set to true, "pixi" was renamed to "pixy" and "mdat" size
// is 0 (extends to the end of the file).
const Data input =
LoadFile("avifinfo_test_1x1_10b_nopixi_metasize64b_mdatsize0.avif");
ASSERT_FALSE(input.empty());
ASSERT_EQ(AvifInfoIdentify(input.data(), input.size()), kAvifInfoOk);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(input.data(), input.size(), &f), kAvifInfoOk);
ExpectEqual(f, {.width = 1u,
.height = 1u,
.bit_depth = 10u,
.num_channels = 3u,
.has_gainmap = 0u,
.primary_item_id_location = 104u,
.primary_item_id_bytes = 2u});
}
TEST(AvifInfoGetTest, EnoughBytes) {
Data input = LoadFile("avifinfo_test_1x1.avif");
ASSERT_FALSE(input.empty());
// Truncate 'input' just after the required information (discard AV1 box).
const uint8_t kMdatTag[] = {'m', 'd', 'a', 't'};
input.resize(std::search(input.begin(), input.end(), kMdatTag, kMdatTag + 4) -
input.begin());
ASSERT_EQ(AvifInfoIdentify(input.data(), input.size()), kAvifInfoOk);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(input.data(), input.size(), &f), kAvifInfoOk);
ExpectEqual(f, {.width = 1u,
.height = 1u,
.bit_depth = 8u,
.num_channels = 3u,
.has_gainmap = 0u,
.primary_item_id_location = 96u,
.primary_item_id_bytes = 2u});
}
TEST(AvifInfoGetTest, Null) {
const Data input = LoadFile("avifinfo_test_1x1.avif");
ASSERT_FALSE(input.empty());
ASSERT_EQ(AvifInfoGetFeatures(input.data(), input.size(), nullptr),
kAvifInfoOk);
}
//------------------------------------------------------------------------------
// Negative tests
TEST(AvifInfoGetTest, Empty) {
ASSERT_EQ(AvifInfoIdentify(nullptr, 0), kAvifInfoNotEnoughData);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(nullptr, 0, &f), kAvifInfoNotEnoughData);
ExpectEqual(f, {0});
}
TEST(AvifInfoGetTest, NotEnoughBytes) {
Data input = LoadFile("avifinfo_test_1x1.avif");
ASSERT_FALSE(input.empty());
// Truncate 'input' before having all the required information.
const uint8_t kIpmaTag[] = {'i', 'p', 'm', 'a'};
input.resize(std::search(input.begin(), input.end(), kIpmaTag, kIpmaTag + 4) -
input.begin());
ASSERT_EQ(AvifInfoIdentify(input.data(), input.size()), kAvifInfoOk);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(input.data(), input.size(), &f),
kAvifInfoNotEnoughData);
}
TEST(AvifInfoGetTest, Broken) {
Data input = LoadFile("avifinfo_test_1x1.avif");
ASSERT_FALSE(input.empty());
// Change "ispe" to "aspe".
const uint8_t kIspeTag[] = {'i', 's', 'p', 'e'};
std::search(input.begin(), input.end(), kIspeTag, kIspeTag + 4)[0] = 'a';
ASSERT_EQ(AvifInfoIdentify(input.data(), input.size()), kAvifInfoOk);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(input.data(), input.size(), &f),
kAvifInfoInvalidFile);
ExpectEqual(f, {0});
}
TEST(AvifInfoGetTest, MetaBoxIsTooBig) {
Data input = LoadFile("avifinfo_test_1x1.avif");
ASSERT_FALSE(input.empty());
// Change "meta" box size to the maximum size 2^64-1.
const uint8_t kMetaTag[] = {'m', 'e', 't', 'a'};
auto meta_tag =
std::search(input.begin(), input.end(), kMetaTag, kMetaTag + 4);
meta_tag[-4] = meta_tag[-3] = meta_tag[-2] = 0;
meta_tag[-1] = 1; // 32-bit "1" then 4-char "meta" then 64-bit size.
input.insert(meta_tag + 4, {255, 255, 255, 255, 255, 255, 255, 255});
ASSERT_EQ(AvifInfoIdentify(input.data(), input.size()), kAvifInfoOk);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(input.data(), input.size(), &f),
kAvifInfoTooComplex);
ExpectEqual(f, {0});
}
TEST(AvifInfoGetTest, TooManyBoxes) {
// Create a valid-ish input with too many boxes to parse.
Data input = {0, 0, 0, 16, 'f', 't', 'y', 'p',
'a', 'v', 'i', 'f', 0, 0, 0, 0};
const uint32_t kNumBoxes = 12345;
input.reserve(input.size() + kNumBoxes * 8);
for (uint32_t i = 0; i < kNumBoxes; ++i) {
const uint8_t kBox[] = {0, 0, 0, 8, 'a', 'b', 'c', 'd'};
input.insert(input.end(), kBox, kBox + kBox[3]);
}
ASSERT_EQ(AvifInfoIdentify(input.data(), input.size()), kAvifInfoOk);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeatures(reinterpret_cast<uint8_t*>(input.data()),
input.size() * 4, &f),
kAvifInfoTooComplex);
}
TEST(AvifInfoReadTest, Null) {
ASSERT_EQ(AvifInfoIdentifyStream(/*stream=*/nullptr, /*read=*/nullptr,
/*skip=*/nullptr),
kAvifInfoNotEnoughData);
AvifInfoFeatures f;
ASSERT_EQ(AvifInfoGetFeaturesStream(/*stream=*/nullptr, /*read=*/nullptr,
/*skip=*/nullptr, &f),
kAvifInfoNotEnoughData);
ExpectEqual(f, {0});
}
//------------------------------------------------------------------------------
} // namespace