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author | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 01:13:27 +0000 |
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committer | Daniel Baumann <daniel.baumann@progress-linux.org> | 2024-04-19 01:13:27 +0000 |
commit | 40a355a42d4a9444dc753c04c6608dade2f06a23 (patch) | |
tree | 871fc667d2de662f171103ce5ec067014ef85e61 /third_party/jpeg-xl/lib/jxl/splines_test.cc | |
parent | Adding upstream version 124.0.1. (diff) | |
download | firefox-40a355a42d4a9444dc753c04c6608dade2f06a23.tar.xz firefox-40a355a42d4a9444dc753c04c6608dade2f06a23.zip |
Adding upstream version 125.0.1.upstream/125.0.1
Signed-off-by: Daniel Baumann <daniel.baumann@progress-linux.org>
Diffstat (limited to 'third_party/jpeg-xl/lib/jxl/splines_test.cc')
-rw-r--r-- | third_party/jpeg-xl/lib/jxl/splines_test.cc | 256 |
1 files changed, 116 insertions, 140 deletions
diff --git a/third_party/jpeg-xl/lib/jxl/splines_test.cc b/third_party/jpeg-xl/lib/jxl/splines_test.cc index d812545a37..83cc524234 100644 --- a/third_party/jpeg-xl/lib/jxl/splines_test.cc +++ b/third_party/jpeg-xl/lib/jxl/splines_test.cc @@ -23,7 +23,6 @@ #include "lib/jxl/chroma_from_luma.h" #include "lib/jxl/enc_aux_out.h" #include "lib/jxl/enc_bit_writer.h" -#include "lib/jxl/enc_params.h" #include "lib/jxl/enc_splines.h" #include "lib/jxl/image.h" #include "lib/jxl/image_ops.h" @@ -45,10 +44,6 @@ std::ostream& operator<<(std::ostream& os, const Spline& spline) { namespace { using test::ReadTestData; -using ::testing::AllOf; -using ::testing::Field; -using ::testing::FloatNear; -using ::testing::Pointwise; constexpr int kQuantizationAdjustment = 0; const ColorCorrelationMap* const cmap = new ColorCorrelationMap; @@ -73,127 +68,75 @@ std::vector<Spline> DequantizeSplines(const Splines& splines) { return dequantized; } -MATCHER(ControlPointIs, "") { - const Spline::Point& actual = std::get<0>(arg); - const Spline::Point& expected = std::get<1>(arg); - return testing::ExplainMatchResult( - AllOf(Field(&Spline::Point::x, FloatNear(expected.x, kTolerance)), - Field(&Spline::Point::y, FloatNear(expected.y, kTolerance))), - actual, result_listener); -} - -MATCHER(ControlPointsMatch, "") { - const Spline& actual = std::get<0>(arg); - const Spline& expected = std::get<1>(arg); - return testing::ExplainMatchResult( - Field(&Spline::control_points, - Pointwise(ControlPointIs(), expected.control_points)), - actual, result_listener); -} - -MATCHER(SplinesMatch, "") { - const Spline& actual = std::get<0>(arg); - const Spline& expected = std::get<1>(arg); - if (!testing::ExplainMatchResult(ControlPointsMatch(), arg, - result_listener)) { - return false; - } - for (int i = 0; i < 3; ++i) { - size_t color_dct_size = - sizeof(expected.color_dct[i]) / sizeof(expected.color_dct[i][0]); - for (size_t j = 0; j < color_dct_size; j++) { - testing::StringMatchResultListener color_dct_listener; - if (!testing::ExplainMatchResult( - FloatNear(expected.color_dct[i][j], kTolerance), - actual.color_dct[i][j], &color_dct_listener)) { - *result_listener << ", where color_dct[" << i << "][" << j - << "] don't match, " << color_dct_listener.str(); - return false; - } - } - } - size_t sigma_dct_size = - sizeof(expected.sigma_dct) / sizeof(expected.sigma_dct[0]); - for (size_t i = 0; i < sigma_dct_size; i++) { - testing::StringMatchResultListener sigma_listener; - if (!testing::ExplainMatchResult( - FloatNear(expected.sigma_dct[i], kTolerance), actual.sigma_dct[i], - &sigma_listener)) { - *result_listener << ", where sigma_dct[" << i << "] don't match, " - << sigma_listener.str(); - return false; - } - } - return true; -} - } // namespace TEST(SplinesTest, Serialization) { - std::vector<Spline> spline_data = { - {/*control_points=*/{ - {109, 54}, {218, 159}, {80, 3}, {110, 274}, {94, 185}, {17, 277}}, - /*color_dct=*/ - {{36.3, 39.7, 23.2, 67.5, 4.4, 71.5, 62.3, 32.3, 92.2, 10.1, 10.8, - 9.2, 6.1, 10.5, 79.1, 7, 24.6, 90.8, 5.5, 84, 43.8, 49, - 33.5, 78.9, 54.5, 77.9, 62.1, 51.4, 36.4, 14.3, 83.7, 35.4}, - {9.4, 53.4, 9.5, 74.9, 72.7, 26.7, 7.9, 0.9, 84.9, 23.2, 26.5, - 31.1, 91, 11.7, 74.1, 39.3, 23.7, 82.5, 4.8, 2.7, 61.2, 96.4, - 13.7, 66.7, 62.9, 82.4, 5.9, 98.7, 21.5, 7.9, 51.7, 63.1}, - {48, 39.3, 6.9, 26.3, 33.3, 6.2, 1.7, 98.9, 59.9, 59.6, 95, - 61.3, 82.7, 53, 6.1, 30.4, 34.7, 96.9, 93.4, 17, 38.8, 80.8, - 63, 18.6, 43.6, 32.3, 61, 20.2, 24.3, 28.3, 69.1, 62.4}}, - /*sigma_dct=*/{32.7, 21.5, 44.4, 1.8, 45.8, 90.6, 29.3, 59.2, - 23.7, 85.2, 84.8, 27.2, 42.1, 84.1, 50.6, 17.6, - 93.7, 4.9, 2.6, 69.8, 94.9, 52, 24.3, 18.8, - 12.1, 95.7, 28.5, 81.4, 89.9, 31.4, 74.8, 52}}, - {/*control_points=*/{{172, 309}, - {196, 277}, - {42, 238}, - {114, 350}, - {307, 290}, - {316, 269}, - {124, 66}, - {233, 267}}, - /*color_dct=*/ - {{15, 28.9, 22, 6.6, 41.8, 83, 8.6, 56.8, 68.9, 9.7, 5.4, - 19.8, 70.8, 90, 52.5, 65.2, 7.8, 23.5, 26.4, 72.2, 64.7, 87.1, - 1.3, 67.5, 46, 68.4, 65.4, 35.5, 29.1, 13, 41.6, 23.9}, - {47.7, 79.4, 62.7, 29.1, 96.8, 18.5, 17.6, 15.2, 80.5, 56, 96.2, - 59.9, 26.7, 96.1, 92.3, 42.1, 35.8, 54, 23.2, 55, 76, 35.8, - 58.4, 88.7, 2.4, 78.1, 95.6, 27.5, 6.6, 78.5, 24.1, 69.8}, - {43.8, 96.5, 0.9, 95.1, 49.1, 71.2, 25.1, 33.6, 75.2, 95, 82.1, - 19.7, 10.5, 44.9, 50, 93.3, 83.5, 99.5, 64.6, 54, 3.5, 99.7, - 45.3, 82.1, 22.4, 37.9, 60, 32.2, 12.6, 4.6, 65.5, 96.4}}, - /*sigma_dct=*/{72.5, 2.6, 41.7, 2.2, 39.7, 79.1, 69.6, 19.9, - 92.3, 71.5, 41.9, 62.1, 30, 49.4, 70.3, 45.3, - 62.5, 47.2, 46.7, 41.2, 90.8, 46.8, 91.2, 55, - 8.1, 69.6, 25.4, 84.7, 61.7, 27.6, 3.7, 46.9}}, - {/*control_points=*/{{100, 186}, - {257, 97}, - {170, 49}, - {25, 169}, - {309, 104}, - {232, 237}, - {385, 101}, - {122, 168}, - {26, 300}, - {390, 88}}, - /*color_dct=*/ - {{16.9, 64.8, 4.2, 10.6, 23.5, 17, 79.3, 5.7, 60.4, 16.6, 94.9, - 63.7, 87.6, 10.5, 3.8, 61.1, 22.9, 81.9, 80.4, 40.5, 45.9, 25.4, - 39.8, 30, 50.2, 90.4, 27.9, 93.7, 65.1, 48.2, 22.3, 43.9}, - {24.9, 66, 3.5, 90.2, 97.1, 15.8, 35.6, 0.6, 68, 39.6, 24.4, - 85.9, 57.7, 77.6, 47.5, 67.9, 4.3, 5.4, 91.2, 58.5, 0.1, 52.2, - 3.5, 47.8, 63.2, 43.5, 85.8, 35.8, 50.2, 35.9, 19.2, 48.2}, - {82.8, 44.9, 76.4, 39.5, 94.1, 14.3, 89.8, 10, 10.5, 74.5, 56.3, - 65.8, 7.8, 23.3, 52.8, 99.3, 56.8, 46, 76.7, 13.5, 67, 22.4, - 29.9, 43.3, 70.3, 26, 74.3, 53.9, 62, 19.1, 49.3, 46.7}}, - /*sigma_dct=*/{83.5, 1.7, 25.1, 18.7, 46.5, 75.3, 28, 62.3, - 50.3, 23.3, 85.6, 96, 45.8, 33.1, 33.4, 52.9, - 26.3, 58.5, 19.6, 70, 92.6, 22.5, 57, 21.6, - 76.8, 87.5, 22.9, 66.3, 35.7, 35.6, 56.8, 67.2}}, - }; + Spline spline1{ + /*control_points=*/{ + {109, 54}, {218, 159}, {80, 3}, {110, 274}, {94, 185}, {17, 277}}, + /*color_dct=*/ + {Dct32{36.3, 39.7, 23.2, 67.5, 4.4, 71.5, 62.3, 32.3, 92.2, 10.1, 10.8, + 9.2, 6.1, 10.5, 79.1, 7, 24.6, 90.8, 5.5, 84, 43.8, 49, + 33.5, 78.9, 54.5, 77.9, 62.1, 51.4, 36.4, 14.3, 83.7, 35.4}, + Dct32{9.4, 53.4, 9.5, 74.9, 72.7, 26.7, 7.9, 0.9, 84.9, 23.2, 26.5, + 31.1, 91, 11.7, 74.1, 39.3, 23.7, 82.5, 4.8, 2.7, 61.2, 96.4, + 13.7, 66.7, 62.9, 82.4, 5.9, 98.7, 21.5, 7.9, 51.7, 63.1}, + Dct32{48, 39.3, 6.9, 26.3, 33.3, 6.2, 1.7, 98.9, 59.9, 59.6, 95, + 61.3, 82.7, 53, 6.1, 30.4, 34.7, 96.9, 93.4, 17, 38.8, 80.8, + 63, 18.6, 43.6, 32.3, 61, 20.2, 24.3, 28.3, 69.1, 62.4}}, + /*sigma_dct=*/{32.7, 21.5, 44.4, 1.8, 45.8, 90.6, 29.3, 59.2, + 23.7, 85.2, 84.8, 27.2, 42.1, 84.1, 50.6, 17.6, + 93.7, 4.9, 2.6, 69.8, 94.9, 52, 24.3, 18.8, + 12.1, 95.7, 28.5, 81.4, 89.9, 31.4, 74.8, 52}}; + Spline spline2{ + /*control_points=*/{{172, 309}, + {196, 277}, + {42, 238}, + {114, 350}, + {307, 290}, + {316, 269}, + {124, 66}, + {233, 267}}, + /*color_dct=*/ + {Dct32{15, 28.9, 22, 6.6, 41.8, 83, 8.6, 56.8, 68.9, 9.7, 5.4, + 19.8, 70.8, 90, 52.5, 65.2, 7.8, 23.5, 26.4, 72.2, 64.7, 87.1, + 1.3, 67.5, 46, 68.4, 65.4, 35.5, 29.1, 13, 41.6, 23.9}, + Dct32{47.7, 79.4, 62.7, 29.1, 96.8, 18.5, 17.6, 15.2, 80.5, 56, 96.2, + 59.9, 26.7, 96.1, 92.3, 42.1, 35.8, 54, 23.2, 55, 76, 35.8, + 58.4, 88.7, 2.4, 78.1, 95.6, 27.5, 6.6, 78.5, 24.1, 69.8}, + Dct32{43.8, 96.5, 0.9, 95.1, 49.1, 71.2, 25.1, 33.6, 75.2, 95, 82.1, + 19.7, 10.5, 44.9, 50, 93.3, 83.5, 99.5, 64.6, 54, 3.5, 99.7, + 45.3, 82.1, 22.4, 37.9, 60, 32.2, 12.6, 4.6, 65.5, 96.4}}, + /*sigma_dct=*/{72.5, 2.6, 41.7, 2.2, 39.7, 79.1, 69.6, 19.9, + 92.3, 71.5, 41.9, 62.1, 30, 49.4, 70.3, 45.3, + 62.5, 47.2, 46.7, 41.2, 90.8, 46.8, 91.2, 55, + 8.1, 69.6, 25.4, 84.7, 61.7, 27.6, 3.7, 46.9}}; + Spline spline3{ + /*control_points=*/{{100, 186}, + {257, 97}, + {170, 49}, + {25, 169}, + {309, 104}, + {232, 237}, + {385, 101}, + {122, 168}, + {26, 300}, + {390, 88}}, + /*color_dct=*/ + {Dct32{16.9, 64.8, 4.2, 10.6, 23.5, 17, 79.3, 5.7, 60.4, 16.6, 94.9, + 63.7, 87.6, 10.5, 3.8, 61.1, 22.9, 81.9, 80.4, 40.5, 45.9, 25.4, + 39.8, 30, 50.2, 90.4, 27.9, 93.7, 65.1, 48.2, 22.3, 43.9}, + Dct32{24.9, 66, 3.5, 90.2, 97.1, 15.8, 35.6, 0.6, 68, 39.6, 24.4, + 85.9, 57.7, 77.6, 47.5, 67.9, 4.3, 5.4, 91.2, 58.5, 0.1, 52.2, + 3.5, 47.8, 63.2, 43.5, 85.8, 35.8, 50.2, 35.9, 19.2, 48.2}, + Dct32{82.8, 44.9, 76.4, 39.5, 94.1, 14.3, 89.8, 10, 10.5, 74.5, 56.3, + 65.8, 7.8, 23.3, 52.8, 99.3, 56.8, 46, 76.7, 13.5, 67, 22.4, + 29.9, 43.3, 70.3, 26, 74.3, 53.9, 62, 19.1, 49.3, 46.7}}, + /*sigma_dct=*/{83.5, 1.7, 25.1, 18.7, 46.5, 75.3, 28, 62.3, + 50.3, 23.3, 85.6, 96, 45.8, 33.1, 33.4, 52.9, + 26.3, 58.5, 19.6, 70, 92.6, 22.5, 57, 21.6, + 76.8, 87.5, 22.9, 66.3, 35.7, 35.6, 56.8, 67.2}}; + std::vector<Spline> spline_data{spline1, spline2, spline3}; std::vector<QuantizedSpline> quantized_splines; std::vector<Spline::Point> starting_points; @@ -206,8 +149,20 @@ TEST(SplinesTest, Serialization) { Splines splines(kQuantizationAdjustment, std::move(quantized_splines), std::move(starting_points)); const std::vector<Spline> quantized_spline_data = DequantizeSplines(splines); - EXPECT_THAT(quantized_spline_data, - Pointwise(ControlPointsMatch(), spline_data)); + EXPECT_EQ(quantized_spline_data.size(), spline_data.size()); + for (size_t i = 0; i < quantized_spline_data.size(); ++i) { + const Spline& actual = quantized_spline_data[i]; + const Spline& expected = spline_data[i]; + const auto& actual_points = actual.control_points; + const auto& expected_points = expected.control_points; + EXPECT_EQ(actual_points.size(), expected_points.size()); + for (size_t j = 0; j < actual_points.size(); ++j) { + EXPECT_NEAR(actual_points[j].x, expected_points[j].x, kTolerance) + << "spline " << i << " point " << j; + EXPECT_NEAR(actual_points[j].y, expected_points[j].y, kTolerance) + << "spline " << i << " point " << j; + } + } BitWriter writer; EncodeSplines(splines, &writer, kLayerSplines, HistogramParams(), nullptr); @@ -225,8 +180,28 @@ TEST(SplinesTest, Serialization) { const std::vector<Spline> decoded_spline_data = DequantizeSplines(decoded_splines); - EXPECT_THAT(decoded_spline_data, - Pointwise(SplinesMatch(), quantized_spline_data)); + + EXPECT_EQ(decoded_spline_data.size(), quantized_spline_data.size()); + for (size_t i = 0; i < decoded_spline_data.size(); ++i) { + const Spline& actual = decoded_spline_data[i]; + const Spline& expected = quantized_spline_data[i]; + const auto& actual_points = actual.control_points; + const auto& expected_points = expected.control_points; + EXPECT_EQ(actual_points.size(), expected_points.size()); + for (size_t j = 0; j < actual_points.size(); ++j) { + EXPECT_NEAR(actual_points[j].x, expected_points[j].x, kTolerance) + << "spline " << i << " point " << j; + EXPECT_NEAR(actual_points[j].y, expected_points[j].y, kTolerance) + << "spline " << i << " point " << j; + } + + const auto& actual_color_dct = actual.color_dct; + const auto& expected_color_dct = expected.color_dct; + for (size_t j = 0; j < actual_color_dct.size(); ++j) { + EXPECT_ARRAY_NEAR(actual_color_dct[j], expected_color_dct[j], kTolerance); + } + EXPECT_ARRAY_NEAR(actual.sigma_dct, expected.sigma_dct, kTolerance); + } } #ifdef JXL_CRASH_ON_ERROR @@ -240,10 +215,10 @@ TEST(SplinesTest, TooManySplinesTest) { std::vector<QuantizedSpline> quantized_splines; std::vector<Spline::Point> starting_points; for (size_t i = 0; i < kNumSplines; i++) { - Spline spline = { + Spline spline{ /*control_points=*/{{1.f + i, 2}, {10.f + i, 25}, {30.f + i, 300}}, /*color_dct=*/ - {{1.f, 0.2f, 0.1f}, {35.7f, 10.3f}, {35.7f, 7.8f}}, + {Dct32{1.f, 0.2f, 0.1f}, Dct32{35.7f, 10.3f}, Dct32{35.7f, 7.8f}}, /*sigma_dct=*/{10.f, 0.f, 0.f, 2.f}}; quantized_splines.emplace_back(spline, kQuantizationAdjustment, kYToX, kYToB); @@ -271,10 +246,11 @@ TEST(SplinesTest, DuplicatePoints) { std::vector<Spline::Point> control_points{ {9, 54}, {118, 159}, {97, 3}, // Repeated. {97, 3}, {10, 40}, {150, 25}, {120, 300}}; - Spline spline{control_points, - /*color_dct=*/ - {{1.f, 0.2f, 0.1f}, {35.7f, 10.3f}, {35.7f, 7.8f}}, - /*sigma_dct=*/{10.f, 0.f, 0.f, 2.f}}; + Spline spline{ + control_points, + /*color_dct=*/ + {Dct32{1.f, 0.2f, 0.1f}, Dct32{35.7f, 10.3f}, Dct32{35.7f, 7.8f}}, + /*sigma_dct=*/{10.f, 0.f, 0.f, 2.f}}; std::vector<Spline> spline_data{spline}; std::vector<QuantizedSpline> quantized_splines; std::vector<Spline::Point> starting_points; @@ -286,7 +262,7 @@ TEST(SplinesTest, DuplicatePoints) { Splines splines(kQuantizationAdjustment, std::move(quantized_splines), std::move(starting_points)); - Image3F image(320, 320); + JXL_ASSIGN_OR_DIE(Image3F image, Image3F::Create(320, 320)); ZeroFillImage(&image); EXPECT_FALSE( splines.InitializeDrawCache(image.xsize(), image.ysize(), *cmap)); @@ -304,10 +280,10 @@ TEST(SplinesTest, Drawing) { const Spline spline{ control_points, /*color_dct=*/ - {{0.4989345073699951171875000f, 0.4997999966144561767578125f}, - {0.4772970676422119140625000f, 0.f, 0.5250000357627868652343750f}, - {-0.0176776945590972900390625f, 0.4900000095367431640625000f, - 0.5250000357627868652343750f}}, + {Dct32{0.4989345073699951171875000f, 0.4997999966144561767578125f}, + Dct32{0.4772970676422119140625000f, 0.f, 0.5250000357627868652343750f}, + Dct32{-0.0176776945590972900390625f, 0.4900000095367431640625000f, + 0.5250000357627868652343750f}}, /*sigma_dct=*/ {0.9427147507667541503906250f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.f, 0.6665999889373779296875000f}}; @@ -322,13 +298,13 @@ TEST(SplinesTest, Drawing) { Splines splines(kQuantizationAdjustment, std::move(quantized_splines), std::move(starting_points)); - Image3F image(320, 320); + JXL_ASSIGN_OR_DIE(Image3F image, Image3F::Create(320, 320)); ZeroFillImage(&image); ASSERT_TRUE(splines.InitializeDrawCache(image.xsize(), image.ysize(), *cmap)); splines.AddTo(&image, Rect(image), Rect(image)); CodecInOut io_actual; - Image3F image2(320, 320); + JXL_ASSIGN_OR_DIE(Image3F image2, Image3F::Create(320, 320)); CopyImageTo(image, &image2); io_actual.SetFromImage(std::move(image2), ColorEncoding::SRGB()); ASSERT_TRUE(io_actual.frames[0].TransformTo(io_expected.Main().c_current(), |