| #include <catch.hpp> | |
| #include "rive/math/mat2d.hpp" | |
| #include "rive/math/math_types.hpp" | |
| namespace rive | |
| { | |
| TEST_CASE("mapPoints", "[Mat2D]") | |
| { | |
| std::vector<Vec2D> testPts{{0, 0}, {1, 0}, {0, 1}, {-1, 0}, {0, -1}}; | |
| for (int i = 0; i < 100; ++i) | |
| { | |
| testPts.push_back( | |
| {static_cast<float>(rand() % 201 - 100), static_cast<float>(rand() % 201 - 100)}); | |
| } | |
| size_t n = testPts.size(); | |
| std::vector<Vec2D> dstPts(n); | |
| std::vector<Vec2D> expectedPts(n); | |
| auto checkMatrix = [&](Mat2D m) { | |
| // Map a single point. | |
| m.mapPoints(dstPts.data(), testPts.data() + 2, 1); | |
| expectedPts[0] = m * testPts[2]; | |
| CHECK(dstPts[0] == expectedPts[0]); | |
| // Map n - 1 points (ensures we test one even-length and one odd-length array). | |
| m.mapPoints(dstPts.data(), testPts.data() + 1, n - 1); | |
| for (size_t i = 0; i < n - 1; ++i) | |
| expectedPts[i] = m * testPts[i + 1]; | |
| CHECK(std::equal(dstPts.begin(), dstPts.end() - 1, expectedPts.begin())); | |
| // Map n points. | |
| m.mapPoints(dstPts.data(), testPts.data(), n); | |
| for (size_t i = 0; i < n; ++i) | |
| expectedPts[i] = m * testPts[i]; | |
| CHECK(dstPts == expectedPts); | |
| }; | |
| checkMatrix(Mat2D()); | |
| checkMatrix(Mat2D(1, 0, 0, 1, 2, -3)); | |
| checkMatrix(Mat2D(4, 0, 0, -5, 0, 0)); | |
| checkMatrix(Mat2D(4, 0, 0, 5, -6, 7)); | |
| checkMatrix(Mat2D(0, 8, 9, 0, 10, 11)); | |
| checkMatrix(Mat2D(-12, -13, -14, -15, -16, -17)); | |
| checkMatrix(Mat2D(18, 19, 20, 21, 22, 23)); | |
| checkMatrix(Mat2D(-25, 26, 27, -28, 29, -30)); | |
| } | |
| // Check Mat2D::findMaxScale. | |
| TEST_CASE("findMaxScale", "[Mat2D]") | |
| { | |
| Mat2D identity; | |
| // CHECK(1 == identity.getMinScale()); | |
| CHECK(1 == identity.findMaxScale()); | |
| // success = identity.getMinMaxScales(scales); | |
| // CHECK(success && 1 == scales[0] && 1 == scales[1]); | |
| Mat2D scale = Mat2D::fromScale(2, 4); | |
| // CHECK(2 == scale.getMinScale()); | |
| CHECK(4 == scale.findMaxScale()); | |
| // success = scale.getMinMaxScales(scales); | |
| // CHECK(success && 2 == scales[0] && 4 == scales[1]); | |
| Mat2D transpose = Mat2D(0, | |
| 3, | |
| 6, | |
| 0, | |
| std::numeric_limits<float>::quiet_NaN(), | |
| std::numeric_limits<float>::infinity()); | |
| CHECK(transpose.findMaxScale() == 6); | |
| Mat2D rot90Scale = Mat2D::fromRotation(math::PI / 2); | |
| rot90Scale = Mat2D::fromScale(1.f / 4, 1.f / 2) * rot90Scale; | |
| // CHECK(1.f / 4 == rot90Scale.getMinScale()); | |
| CHECK(1.f / 2 == rot90Scale.findMaxScale()); | |
| // success = rot90Scale.getMinMaxScales(scales); | |
| // CHECK(success && 1.f / 4 == scales[0] && 1.f / 2 == scales[1]); | |
| Mat2D rotate = Mat2D::fromRotation(128 * math::PI / 180); | |
| // CHECK(math::nearly_equal(1, rotate.getMinScale(), math::EPSILON)); | |
| CHECK(math::nearly_equal(1, rotate.findMaxScale(), math::EPSILON)); | |
| // success = rotate.getMinMaxScales(scales); | |
| // CHECK(success); | |
| // CHECK(math::nearly_equal(1, scales[0], math::EPSILON)); | |
| // CHECK(math::nearly_equal(1, scales[1], math::EPSILON)); | |
| Mat2D translate = Mat2D::fromTranslate(10, -5); | |
| // CHECK(1 == translate.getMinScale()); | |
| CHECK(1 == translate.findMaxScale()); | |
| // success = translate.getMinMaxScales(scales); | |
| // CHECK(success && 1 == scales[0] && 1 == scales[1]); | |
| // skbug.com/4718 | |
| Mat2D big(2.39394089e+36f, | |
| 3.9159619e+36f, | |
| 8.85347779e+36f, | |
| 1.44823453e+37f, | |
| 9.26526204e+36f, | |
| 1.51559342e+37f); | |
| CHECK(big.findMaxScale() == 0); | |
| // // skbug.com/4718 | |
| // Mat2D givingNegativeNearlyZeros(0.00436534f, | |
| // 0.00358857f, | |
| // 0.114138f, | |
| // 0.0936228f, | |
| // 0.37141f, | |
| // -0.0174198f); | |
| // success = givingNegativeNearlyZeros.getMinMaxScales(scales); | |
| // CHECK(success && 0 == scales[0]); | |
| constexpr int kNumBaseMats = 4; | |
| Mat2D baseMats[kNumBaseMats] = {scale, rot90Scale, rotate, translate}; | |
| constexpr int kNumMats = 2 * kNumBaseMats; | |
| Mat2D mats[kNumMats]; | |
| for (size_t i = 0; i < kNumBaseMats; ++i) | |
| { | |
| mats[i] = baseMats[i]; | |
| bool invertible = mats[i].invert(&mats[i + kNumBaseMats]); | |
| REQUIRE(invertible); | |
| } | |
| srand(0); | |
| for (int m = 0; m < 1000; ++m) | |
| { | |
| Mat2D mat; | |
| for (int i = 0; i < 4; ++i) | |
| { | |
| int x = rand() % kNumMats; | |
| mat = mats[x] * mat; | |
| } | |
| // float minScale = mat.findMinScale(); | |
| float maxScale = mat.findMaxScale(); | |
| // REQUIRE(minScale >= 0); | |
| REQUIRE(maxScale >= 0); | |
| // test a bunch of vectors. All should be scaled by between minScale and maxScale | |
| // (modulo some error) and we should find a vector that is scaled by almost each. | |
| static const float gVectorScaleTol = (105 * 1.f) / 100; | |
| static const float gCloseScaleTol = (97 * 1.f) / 100; | |
| float max = 0, min = std::numeric_limits<float>::max(); | |
| constexpr int kNumVectors = 1000; | |
| Vec2D vectors[kNumVectors]; | |
| for (size_t i = 0; i < kNumVectors; ++i) | |
| { | |
| vectors[i].x = rand() * 2.f / static_cast<float>(RAND_MAX) - 1; | |
| vectors[i].y = rand() * 2.f / static_cast<float>(RAND_MAX) - 1; | |
| vectors[i] = vectors[i].normalized(); | |
| vectors[i] = {mat[0] * vectors[i].x + mat[2] * vectors[i].y, | |
| mat[1] * vectors[i].x + mat[3] * vectors[i].y}; | |
| } | |
| for (size_t i = 0; i < kNumVectors; ++i) | |
| { | |
| float d = vectors[i].length(); | |
| REQUIRE(d / maxScale < gVectorScaleTol); | |
| // REQUIRE(minScale / d < gVectorScaleTol); | |
| if (max < d) | |
| { | |
| max = d; | |
| } | |
| if (min > d) | |
| { | |
| min = d; | |
| } | |
| } | |
| REQUIRE(max / maxScale >= gCloseScaleTol); | |
| // REQUIRE(minScale / min >= gCloseScaleTol); | |
| } | |
| } | |
| } // namespace rive |