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multi_iter
==========
.. contents :: Table of Contents
A ``multi_iter`` is a Python object, intended to be used as an iterator It should generally only be used in loops.
``<boost/python/numpy/ufunc.hpp>`` contains the class definitions for ``multi_iter``
synopsis
--------
::
namespace boost
{
namespace python
{
namespace numpy
{
class multi_iter : public object
{
public:
void next();
bool not_done() const;
char * get_data(int n) const;
int const get_nd() const;
Py_intptr_t const * get_shape() const;
Py_intptr_t const shape(int n) const;
};
multi_iter make_multi_iter(object const & a1);
multi_iter make_multi_iter(object const & a1, object const & a2);
multi_iter make_multi_iter(object const & a1, object const & a2, object const & a3);
}
}
}
constructors
------------
::
multi_iter make_multi_iter(object const & a1);
multi_iter make_multi_iter(object const & a1, object const & a2);
multi_iter make_multi_iter(object const & a1, object const & a2, object const & a3);
:Returns: A Python iterator object broadcasting over one, two or three sequences as supplied
accessors
---------
::
void next();
:Effects: Increments the iterator
::
bool not_done() const;
:Returns: boolean value indicating whether the iterator is at its end
::
char * get_data(int n) const;
:Returns: a pointer to the element of the nth broadcasted array.
::
int const get_nd() const;
:Returns: the number of dimensions of the broadcasted array expression
::
Py_intptr_t const * get_shape() const;
:Returns: the shape of the broadcasted array expression as an array of integers.
::
Py_intptr_t const shape(int n) const;
:Returns: the shape of the broadcasted array expression in the nth dimension.
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