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https://github.com/PX4/PX4-Autopilot.git
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testing float/double with Type template
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+24
-48
@@ -4,7 +4,7 @@
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using namespace matrix;
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int test_4x3(void);
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int test_4x4(void);
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template<typename Type> int test_4x4(void);
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int test_4x4_type_double(void);
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int test_div_zero(void);
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@@ -12,14 +12,15 @@ int main()
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{
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int ret;
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ret = test_4x4();
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ret = test_4x4<float>();
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if (ret != 0) return ret;
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ret = test_4x4<double>();
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if (ret != 0) return ret;
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ret = test_4x3();
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if (ret != 0) return ret;
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ret = test_4x4_type_double();
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ret = test_div_zero();
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if (ret != 0) return ret;
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@@ -35,7 +36,7 @@ int test_4x3() {
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};
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Matrix<float, 4, 3> A(data);
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float b_data[4] = {2.0, 3.0, 4.0, 5.0};
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float b_data[4] = {2.0f, 3.0f, 4.0f, 5.0f};
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Vector<float, 4> b(b_data);
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float x_check_data[3] = {-0.69168233f,
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@@ -51,54 +52,29 @@ int test_4x3() {
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return 0;
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}
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template<typename Type>
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int test_4x4() {
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// Start with an (m x n) A matrix
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float data[16] = { 20.f, -10.f, -13.f, 21.f,
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17.f, 16.f, -18.f, -14.f,
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0.7f, -0.8f, 0.9f, -0.5f,
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-1.f, -1.1f, -1.2f, -1.3f
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};
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Matrix<float, 4, 4> A(data);
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const Type data[16] = { 20.f, -10.f, -13.f, 21.f,
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17.f, 16.f, -18.f, -14.f,
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0.7f, -0.8f, 0.9f, -0.5f,
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-1.f, -1.1f, -1.2f, -1.3f
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};
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Matrix<Type, 4, 4> A(data);
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float b_data[4] = {2.0, 3.0, 4.0, 5.0};
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Vector<float, 4> b(b_data);
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Type b_data[4] = {2.0f, 3.0f, 4.0f, 5.0f};
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Vector<Type, 4> b(b_data);
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float x_check_data[4] = { 0.97893433f,
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-2.80798701f,
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-0.03175765f,
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-2.19387649f
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};
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Vector<float, 4> x_check(x_check_data);
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Type x_check_data[4] = { 0.97893433f,
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-2.80798701f,
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-0.03175765f,
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-2.19387649f
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};
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Vector<Type, 4> x_check(x_check_data);
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LeastSquaresSolver<float, 4, 4> qrd = LeastSquaresSolver<float, 4, 4>(A);
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LeastSquaresSolver<Type, 4, 4> qrd = LeastSquaresSolver<Type, 4, 4>(A);
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Vector<float, 4> x = qrd.solve(b);
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TEST(isEqual(x, x_check));
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return 0;
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}
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int test_4x4_type_double() {
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// Start with an (m x n) A matrix
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double data[16] = { 20., -10., -13., 21.,
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17., 16., -18., -14.,
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0.7, -0.8, 0.9, -0.5,
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-1., -1.1, -1.2, -1.3
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};
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Matrix<double, 4, 4> A(data);
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double b_data[4] = {2.0, 3.0, 4.0, 5.0};
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Vector<double, 4> b(b_data);
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double x_check_data[4] = { 0.97893433,
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-2.80798701,
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-0.03175765,
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-2.19387649
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};
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Vector<double, 4> x_check(x_check_data);
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LeastSquaresSolver<double, 4, 4> qrd = LeastSquaresSolver<double, 4, 4>(A);
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Vector<double, 4> x = qrd.solve(b);
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Vector<Type, 4> x = qrd.solve(b);
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TEST(isEqual(x, x_check));
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return 0;
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}
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@@ -107,7 +83,7 @@ int test_div_zero() {
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float data[4] = {0.0f, 0.0f, 0.0f, 0.0f};
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Matrix<float, 2, 2> A(data);
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float b_data[2] = {1.0, 1.0};
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float b_data[2] = {1.0f, 1.0f};
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Vector<float, 2> b(b_data);
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// Implement such that x returns zeros if it reaches div by zero
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