#include <boost/numpy.hpp>
#include <cmath>
#include <memory>
#include <boost/math/constants/constants.hpp>

Include dependency graph for gaussian.cpp:

Classes
class	bivariate_gaussian
class	matrix2
struct	mv2_from_python< T, N >
class	vector2
Functions
	BOOST_PYTHON_MODULE (gaussian)
static void	copy_ndarray_to_mv2 (bn::ndarray const &array, vector2 &vec)
static void	copy_ndarray_to_mv2 (bn::ndarray const &array, matrix2 &mat)
double	dot (vector2 const &v1, vector2 const &v2)
vector2	operator* (matrix2 const &m, vector2 const &v)
static bn::ndarray	py_get_mu (bp::object const &self)
static bn::ndarray	py_get_sigma (bp::object const &self)
Variables
const double	M_PI = boost::math::constants::pi<double>()

Function Documentation

BOOST_PYTHON_MODULE ( gaussian )

Definition at line 289 of file gaussian.cpp.

static void copy_ndarray_to_mv2	(	bn::ndarray const &	array,
		vector2 &	vec
	)		`[static]`

To allow the constructor to work, we need to define some from-Python converters from NumPy arrays to the matrix/vector types. The rvalue-from-python functionality is not well-documented in Boost.Python itself; you can learn more from boost/python/converter/rvalue_from_python_data.hpp. We start with two functions that just copy a NumPy array into matrix/vector objects. These will be used in the templated converted below. The first just uses the operator[] overloads provided by bp::object.

Definition at line 211 of file gaussian.cpp.

static void copy_ndarray_to_mv2	(	bn::ndarray const &	array,
		matrix2 &	mat
	)		`[static]`

Here, we'll take the alternate approach of using the strides to access the array's memory directly. This can be much faster for large arrays.

Definition at line 220 of file gaussian.cpp.

double dot	(	vector2 const &	v1,
		vector2 const &	v2
	)

Vector inner product.

Definition at line 90 of file gaussian.cpp.

vector2 operator*	(	matrix2 const &	m,
		vector2 const &	v
	)

Matrix-vector multiplication.

Definition at line 80 of file gaussian.cpp.

static bn::ndarray py_get_mu ( bp::object const & self ) [static]

These two functions are custom wrappers for get_mu and get_sigma, providing the shallow-copy conversion with reference counting described above.

It's also worth noting that these return NumPy arrays that cannot be modified in Python; the const overloads of vector::data() and matrix::data() return const references, and passing a const pointer to from_data causes NumPy's 'writeable' flag to be set to false.

Definition at line 179 of file gaussian.cpp.

static bn::ndarray py_get_sigma ( bp::object const & self ) [static]

Definition at line 189 of file gaussian.cpp.

Variable Documentation

const double M_PI = boost::math::constants::pi<double>()

Definition at line 13 of file gaussian.cpp.

Classes

Functions

Variables

Function Documentation

Variable Documentation