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8374e14042
1. More optimized selection of prediction schemes for different compression levels on the encoder side. 2. Improved robustness to tampered input data (.drc) 3. Added support for strognly typed vectors of bools 4. Support for logging and squared lenght to our VectorND class 5. Added support for partially defined indices in .OBJ files 6. Added support for loading of normal vectors in .PLY files
139 lines
3.6 KiB
C++
139 lines
3.6 KiB
C++
// Copyright 2016 The Draco Authors.
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//
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// Licensed under the Apache License, Version 2.0 (the "License");
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// you may not use this file except in compliance with the License.
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// You may obtain a copy of the License at
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//
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// http://www.apache.org/licenses/LICENSE-2.0
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//
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// Unless required by applicable law or agreed to in writing, software
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// distributed under the License is distributed on an "AS IS" BASIS,
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// WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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// See the License for the specific language governing permissions and
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// limitations under the License.
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//
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#include "core/vector_d.h"
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#include "core/draco_test_base.h"
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namespace {
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typedef draco::Vector2f Vector2f;
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typedef draco::Vector3f Vector3f;
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typedef draco::Vector4f Vector4f;
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typedef draco::Vector5f Vector5f;
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typedef draco::Vector2ui Vector2ui;
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typedef draco::Vector3ui Vector3ui;
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typedef draco::Vector4ui Vector4ui;
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typedef draco::Vector5ui Vector5ui;
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class VectorDTest : public ::testing::Test {
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protected:
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template <class CoeffT, int dimension_t>
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void TestSquaredDistance(const draco::VectorD<CoeffT, dimension_t> v1,
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const draco::VectorD<CoeffT, dimension_t> v2,
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const CoeffT result) {
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CoeffT squared_distance = SquaredDistance(v1, v2);
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ASSERT_EQ(squared_distance, result);
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squared_distance = SquaredDistance(v2, v1);
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ASSERT_EQ(squared_distance, result);
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}
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};
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TEST_F(VectorDTest, TestOperators) {
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{
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const Vector3f v;
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ASSERT_EQ(v[0], 0);
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ASSERT_EQ(v[1], 0);
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ASSERT_EQ(v[2], 0);
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}
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const Vector3f v(1, 2, 3);
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ASSERT_EQ(v[0], 1);
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ASSERT_EQ(v[1], 2);
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ASSERT_EQ(v[2], 3);
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Vector3f w = v;
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bool comp = (v == w);
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ASSERT_TRUE(comp);
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comp = (v != w);
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ASSERT_TRUE(!comp);
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ASSERT_EQ(w[0], 1);
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ASSERT_EQ(w[1], 2);
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ASSERT_EQ(w[2], 3);
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w = -v;
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ASSERT_EQ(w[0], -1);
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ASSERT_EQ(w[1], -2);
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ASSERT_EQ(w[2], -3);
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w = v + v;
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ASSERT_EQ(w[0], 2);
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ASSERT_EQ(w[1], 4);
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ASSERT_EQ(w[2], 6);
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w = w - v;
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ASSERT_EQ(w[0], 1);
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ASSERT_EQ(w[1], 2);
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ASSERT_EQ(w[2], 3);
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w = v * float(2);
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ASSERT_EQ(w[0], 2);
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ASSERT_EQ(w[1], 4);
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ASSERT_EQ(w[2], 6);
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ASSERT_EQ(v.SquaredNorm(), 14);
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ASSERT_EQ(v.Dot(v), 14);
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}
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TEST_F(VectorDTest, TestSquaredDistance) {
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// Test Vector2f: float, 2D.
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Vector2f v1_2f(5.5, 10.5);
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Vector2f v2_2f(3.5, 15.5);
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float result_f = 29;
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TestSquaredDistance(v1_2f, v2_2f, result_f);
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// Test Vector3f: float, 3D.
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Vector3f v1_3f(5.5, 10.5, 2.3);
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Vector3f v2_3f(3.5, 15.5, 0);
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result_f = 34.29;
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TestSquaredDistance(v1_3f, v2_3f, result_f);
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// Test Vector4f: float, 4D.
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Vector4f v1_4f(5.5, 10.5, 2.3, 7.2);
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Vector4f v2_4f(3.5, 15.5, 0, 9.9);
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result_f = 41.58;
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TestSquaredDistance(v1_4f, v2_4f, result_f);
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// Test Vector5f: float, 5D.
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Vector5f v1_5f(5.5, 10.5, 2.3, 7.2, 1.0);
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Vector5f v2_5f(3.5, 15.5, 0, 9.9, 0.2);
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result_f = 42.22;
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TestSquaredDistance(v1_5f, v2_5f, result_f);
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// Test Vector 2ui: uint32_t, 2D.
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Vector2ui v1_2ui(5, 10);
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Vector2ui v2_2ui(3, 15);
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uint32_t result_ui = 29;
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TestSquaredDistance(v1_2ui, v2_2ui, result_ui);
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// Test Vector 3ui: uint32_t, 3D.
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Vector3ui v1_3ui(5, 10, 2);
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Vector3ui v2_3ui(3, 15, 0);
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result_ui = 33;
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TestSquaredDistance(v1_3ui, v2_3ui, result_ui);
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// Test Vector 4ui: uint32_t, 4D.
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Vector4ui v1_4ui(5, 10, 2, 7);
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Vector4ui v2_4ui(3, 15, 0, 9);
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result_ui = 37;
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TestSquaredDistance(v1_4ui, v2_4ui, result_ui);
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// Test Vector 5ui: uint32_t, 5D.
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Vector5ui v1_5ui(5, 10, 2, 7, 1);
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Vector5ui v2_5ui(3, 15, 0, 9, 12);
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result_ui = 158;
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TestSquaredDistance(v1_5ui, v2_5ui, result_ui);
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}
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} // namespace
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