mirror of
https://gitlab.com/libeigen/eigen.git
synced 2024-12-15 07:10:37 +08:00
1) remove EIGEN_UNUSED, instead use non-named arguments.
2) use T instead of const T& when that makes more sense Thanks to Christian Mayer a.k.a Mekhzolan for the tips.
This commit is contained in:
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0cbdaf6bb8
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@ -53,15 +53,13 @@ template<typename MatrixType> class Column
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int _rows() const { return m_matrix.rows(); }
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int _cols() const { return 1; }
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Scalar& _write(int row, int col)
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Scalar& _write(int row, int)
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{
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EIGEN_UNUSED(col);
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return m_matrix.write(row, m_col);
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}
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Scalar _read(int row, int col) const
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Scalar _read(int row, int) const
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{
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EIGEN_UNUSED(col);
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return m_matrix.read(row, m_col);
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}
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@ -48,24 +48,14 @@ struct DotUnroller<0, Size, Derived1, Derived2>
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template<int Index, typename Derived1, typename Derived2>
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struct DotUnroller<Index, Dynamic, Derived1, Derived2>
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{
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static void run(const Derived1 &v1, const Derived2& v2, typename Derived1::Scalar &dot)
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{
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EIGEN_UNUSED(v1);
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EIGEN_UNUSED(v2);
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EIGEN_UNUSED(dot);
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}
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static void run(const Derived1&, const Derived2&, typename Derived1::Scalar&) {}
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};
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// prevent buggy user code from causing an infinite recursion
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template<int Index, typename Derived1, typename Derived2>
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struct DotUnroller<Index, 0, Derived1, Derived2>
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{
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static void run(const Derived1 &v1, const Derived2& v2, typename Derived1::Scalar &dot)
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{
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EIGEN_UNUSED(v1);
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EIGEN_UNUSED(v2);
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EIGEN_UNUSED(dot);
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}
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static void run(const Derived1&, const Derived2&, typename Derived1::Scalar&) {}
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};
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template<typename Scalar, typename Derived>
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@ -50,13 +50,9 @@ class MatrixStorage
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public:
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MatrixStorage() {}
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MatrixStorage(int dim) { EIGEN_UNUSED(dim); }
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MatrixStorage(int) {}
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MatrixStorage(int rows, int cols)
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{
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EIGEN_UNUSED(rows);
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EIGEN_UNUSED(cols);
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}
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MatrixStorage(int, int) {}
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~MatrixStorage() {};
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};
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@ -92,9 +88,8 @@ class MatrixStorage<Scalar, Dynamic, ColsAtCompileTime>
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m_array = new Scalar[m_rows * ColsAtCompileTime];
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}
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MatrixStorage(int rows, int cols) : m_rows(rows)
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MatrixStorage(int rows, int) : m_rows(rows)
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{
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EIGEN_UNUSED(cols);
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m_array = new Scalar[m_rows * ColsAtCompileTime];
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}
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@ -136,9 +131,8 @@ class MatrixStorage<Scalar, RowsAtCompileTime, Dynamic>
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m_array = new Scalar[m_cols * RowsAtCompileTime];
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}
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MatrixStorage(int rows, int cols) : m_cols(cols)
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MatrixStorage(int, int cols) : m_cols(cols)
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{
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EIGEN_UNUSED(rows);
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m_array = new Scalar[m_cols * RowsAtCompileTime];
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}
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@ -57,25 +57,24 @@ template<typename _Real> struct NumTraits<std::complex<_Real> >
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};
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template<typename T> inline typename NumTraits<T>::Real precision();
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template<typename T> inline T random(const T& a, const T& b);
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template<typename T> inline T random(T a, T b);
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template<typename T> inline T random();
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template<> inline int precision<int>() { return 0; }
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inline int real(const int& x) { return x; }
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inline int imag(const int& x) { EIGEN_UNUSED(x); return 0; }
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inline int conj(const int& x) { return x; }
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inline int abs(const int& x) { return std::abs(x); }
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inline int abs2(const int& x) { return x*x; }
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inline int sqrt(const int& x)
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inline int real(int x) { return x; }
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inline int imag(int) { return 0; }
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inline int conj(int x) { return x; }
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inline int abs(int x) { return std::abs(x); }
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inline int abs2(int x) { return x*x; }
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inline int sqrt(int)
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{
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EIGEN_UNUSED(x);
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// Taking the square root of integers is not allowed
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// (the square root does not always exist within the integers).
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// Please cast to a floating-point type.
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assert(false);
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return 0;
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}
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template<> inline int random(const int& a, const int& b)
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template<> inline int random(int a, int b)
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{
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// We can't just do rand()%n as only the high-order bits are really random
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return a + static_cast<int>((b-a+1) * (rand() / (RAND_MAX + 1.0)));
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@ -87,31 +86,27 @@ template<> inline int random()
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// as well, so there's no problem.
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return random<int>(-10, 10);
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}
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inline bool isMuchSmallerThan(const int& a, const int& b, const int& prec = precision<int>())
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inline bool isMuchSmallerThan(int a, int, int = precision<int>())
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{
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EIGEN_UNUSED(b);
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EIGEN_UNUSED(prec);
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return a == 0;
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}
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inline bool isApprox(const int& a, const int& b, const int& prec = precision<int>())
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inline bool isApprox(int a, int b, int = precision<int>())
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{
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EIGEN_UNUSED(prec);
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return a == b;
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}
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inline bool isApproxOrLessThan(const int& a, const int& b, const int& prec = precision<int>())
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inline bool isApproxOrLessThan(int a, int b, int = precision<int>())
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{
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EIGEN_UNUSED(prec);
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return a <= b;
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}
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template<> inline float precision<float>() { return 1e-5f; }
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inline float real(const float& x) { return x; }
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inline float imag(const float& x) { EIGEN_UNUSED(x); return 0.f; }
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inline float conj(const float& x) { return x; }
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inline float abs(const float& x) { return std::abs(x); }
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inline float abs2(const float& x) { return x*x; }
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inline float sqrt(const float& x) { return std::sqrt(x); }
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template<> inline float random(const float& a, const float& b)
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inline float real(float x) { return x; }
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inline float imag(float) { return 0.f; }
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inline float conj(float x) { return x; }
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inline float abs(float x) { return std::abs(x); }
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inline float abs2(float x) { return x*x; }
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inline float sqrt(float x) { return std::sqrt(x); }
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template<> inline float random(float a, float b)
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{
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return a + (b-a) * std::rand() / RAND_MAX;
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}
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@ -119,27 +114,27 @@ template<> inline float random()
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{
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return random<float>(-10.0f, 10.0f);
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}
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inline bool isMuchSmallerThan(const float& a, const float& b, const float& prec = precision<float>())
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inline bool isMuchSmallerThan(float a, float b, float prec = precision<float>())
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{
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return std::abs(a) <= std::abs(b) * prec;
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}
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inline bool isApprox(const float& a, const float& b, const float& prec = precision<float>())
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inline bool isApprox(float a, float b, float prec = precision<float>())
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{
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return std::abs(a - b) <= std::min(std::abs(a), std::abs(b)) * prec;
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}
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inline bool isApproxOrLessThan(const float& a, const float& b, const float& prec = precision<float>())
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inline bool isApproxOrLessThan(float a, float b, float prec = precision<float>())
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{
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return a <= b || isApprox(a, b, prec);
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}
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template<> inline double precision<double>() { return 1e-11; }
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inline double real(const double& x) { return x; }
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inline double imag(const double& x) { EIGEN_UNUSED(x); return 0.; }
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inline double conj(const double& x) { return x; }
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inline double abs(const double& x) { return std::abs(x); }
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inline double abs2(const double& x) { return x*x; }
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inline double sqrt(const double& x) { return std::sqrt(x); }
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template<> inline double random(const double& a, const double& b)
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inline double real(double x) { return x; }
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inline double imag(double) { return 0.; }
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inline double conj(double x) { return x; }
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inline double abs(double x) { return std::abs(x); }
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inline double abs2(double x) { return x*x; }
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inline double sqrt(double x) { return std::sqrt(x); }
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template<> inline double random(double a, double b)
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{
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return a + (b-a) * std::rand() / RAND_MAX;
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}
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@ -147,15 +142,15 @@ template<> inline double random()
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{
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return random<double>(-10.0, 10.0);
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}
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inline bool isMuchSmallerThan(const double& a, const double& b, const double& prec = precision<double>())
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inline bool isMuchSmallerThan(double a, double b, double prec = precision<double>())
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{
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return std::abs(a) <= std::abs(b) * prec;
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}
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inline bool isApprox(const double& a, const double& b, const double& prec = precision<double>())
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inline bool isApprox(double a, double b, double prec = precision<double>())
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{
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return std::abs(a - b) <= std::min(std::abs(a), std::abs(b)) * prec;
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}
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inline bool isApproxOrLessThan(const double& a, const double& b, const double& prec = precision<double>())
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inline bool isApproxOrLessThan(double a, double b, double prec = precision<double>())
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{
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return a <= b || isApprox(a, b, prec);
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}
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@ -166,9 +161,8 @@ inline float imag(const std::complex<float>& x) { return std::imag(x); }
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inline std::complex<float> conj(const std::complex<float>& x) { return std::conj(x); }
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inline float abs(const std::complex<float>& x) { return std::abs(x); }
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inline float abs2(const std::complex<float>& x) { return std::norm(x); }
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inline std::complex<float> sqrt(const std::complex<float>& x)
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inline std::complex<float> sqrt(const std::complex<float>&)
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{
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EIGEN_UNUSED(x);
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// Taking the square roots of complex numbers is not allowed,
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// as this is ambiguous (there are two square roots).
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// What were you trying to do?
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@ -179,11 +173,11 @@ template<> inline std::complex<float> random()
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{
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return std::complex<float>(random<float>(), random<float>());
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}
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inline bool isMuchSmallerThan(const std::complex<float>& a, const std::complex<float>& b, const float& prec = precision<float>())
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inline bool isMuchSmallerThan(const std::complex<float>& a, const std::complex<float>& b, float prec = precision<float>())
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{
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return abs2(a) <= abs2(b) * prec * prec;
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}
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inline bool isApprox(const std::complex<float>& a, const std::complex<float>& b, const float& prec = precision<float>())
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inline bool isApprox(const std::complex<float>& a, const std::complex<float>& b, float prec = precision<float>())
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{
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return isApprox(std::real(a), std::real(b), prec)
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&& isApprox(std::imag(a), std::imag(b), prec);
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@ -200,11 +194,11 @@ template<> inline std::complex<double> random()
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{
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return std::complex<double>(random<double>(), random<double>());
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}
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inline bool isMuchSmallerThan(const std::complex<double>& a, const std::complex<double>& b, const double& prec = precision<double>())
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inline bool isMuchSmallerThan(const std::complex<double>& a, const std::complex<double>& b, double prec = precision<double>())
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{
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return abs2(a) <= abs2(b) * prec * prec;
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}
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inline bool isApprox(const std::complex<double>& a, const std::complex<double>& b, const double& prec = precision<double>())
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inline bool isApprox(const std::complex<double>& a, const std::complex<double>& b, double prec = precision<double>())
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{
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return isApprox(std::real(a), std::real(b), prec)
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&& isApprox(std::imag(a), std::imag(b), prec);
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@ -44,11 +44,7 @@ struct OperatorEqualsUnroller
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template<typename Derived1, typename Derived2, int UnrollCount>
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struct OperatorEqualsUnroller<Derived1, Derived2, UnrollCount, 0>
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{
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static void run(Derived1 &dst, const Derived2 &src)
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{
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EIGEN_UNUSED(dst);
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EIGEN_UNUSED(src);
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}
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static void run(Derived1 &, const Derived2 &) {}
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};
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template<typename Derived1, typename Derived2, int Rows>
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@ -63,11 +59,7 @@ struct OperatorEqualsUnroller<Derived1, Derived2, 1, Rows>
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template<typename Derived1, typename Derived2, int Rows>
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struct OperatorEqualsUnroller<Derived1, Derived2, Dynamic, Rows>
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{
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static void run(Derived1 &dst, const Derived2 &src)
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{
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EIGEN_UNUSED(dst);
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EIGEN_UNUSED(src);
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}
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static void run(Derived1 &, const Derived2 &) {}
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};
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template<typename Scalar, typename Derived>
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@ -50,30 +50,14 @@ struct ProductUnroller<0, Size, Lhs, Rhs>
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template<int Index, typename Lhs, typename Rhs>
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struct ProductUnroller<Index, Dynamic, Lhs, Rhs>
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{
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static void run(int row, int col, const Lhs& lhs, const Rhs& rhs,
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typename Lhs::Scalar &res)
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{
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EIGEN_UNUSED(row);
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EIGEN_UNUSED(col);
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EIGEN_UNUSED(lhs);
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EIGEN_UNUSED(rhs);
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EIGEN_UNUSED(res);
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}
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static void run(int, int, const Lhs&, const Rhs&, typename Lhs::Scalar&) {}
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};
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// prevent buggy user code from causing an infinite recursion
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template<int Index, typename Lhs, typename Rhs>
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struct ProductUnroller<Index, 0, Lhs, Rhs>
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{
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static void run(int row, int col, const Lhs& lhs, const Rhs& rhs,
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typename Lhs::Scalar &res)
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{
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EIGEN_UNUSED(row);
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EIGEN_UNUSED(col);
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EIGEN_UNUSED(lhs);
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EIGEN_UNUSED(rhs);
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EIGEN_UNUSED(res);
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}
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static void run(int, int, const Lhs&, const Rhs&, typename Lhs::Scalar&) {}
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};
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template<typename Lhs, typename Rhs> class Product
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@ -49,10 +49,8 @@ template<typename MatrixType> class Random
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int _rows() const { return m_rows; }
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int _cols() const { return m_cols; }
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Scalar _read(int row, int col) const
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Scalar _read(int, int) const
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{
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EIGEN_UNUSED(row);
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EIGEN_UNUSED(col);
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return random<Scalar>();
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}
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@ -60,15 +60,13 @@ template<typename MatrixType> class Row
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int _rows() const { return 1; }
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int _cols() const { return m_matrix.cols(); }
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Scalar& _write(int row, int col)
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Scalar& _write(int, int col)
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{
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EIGEN_UNUSED(row);
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return m_matrix.write(m_row, col);
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}
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Scalar _read(int row, int col) const
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Scalar _read(int, int col) const
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{
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EIGEN_UNUSED(row);
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return m_matrix.read(m_row, col);
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}
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@ -45,21 +45,13 @@ template<int Rows, typename Derived> struct TraceUnroller<0, Rows, Derived>
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template<int Index, typename Derived> struct TraceUnroller<Index, Dynamic, Derived>
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{
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static void run(const Derived &mat, typename Derived::Scalar &trace)
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{
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EIGEN_UNUSED(mat);
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EIGEN_UNUSED(trace);
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}
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static void run(const Derived&, typename Derived::Scalar&) {}
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};
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// prevent buggy user code from causing an infinite recursion
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template<int Index, typename Derived> struct TraceUnroller<Index, 0, Derived>
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{
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static void run(const Derived &mat, typename Derived::Scalar &trace)
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{
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EIGEN_UNUSED(mat);
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EIGEN_UNUSED(trace);
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}
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static void run(const Derived&, typename Derived::Scalar&) {}
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};
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template<typename Scalar, typename Derived>
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@ -46,10 +46,8 @@ using Eigen::Matrix;
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#define eigen_assert(assertLevel, x) if(assertLevel <= EIGEN_ASSERT_LEVEL) assert(x);
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#define EIGEN_UNUSED(x) (void)x
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#ifdef NDEBUG
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#define EIGEN_ONLY_USED_FOR_DEBUG(x) EIGEN_UNUSED(x)
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#define EIGEN_ONLY_USED_FOR_DEBUG(x) (void)x
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#else
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#define EIGEN_ONLY_USED_FOR_DEBUG(x)
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#endif
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@ -49,10 +49,8 @@ template<typename MatrixType> class Zero
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int _rows() const { return m_rows; }
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int _cols() const { return m_cols; }
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Scalar _read(int row, int col) const
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Scalar _read(int, int) const
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{
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EIGEN_UNUSED(row);
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EIGEN_UNUSED(col);
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return static_cast<Scalar>(0);
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}
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