Boost.Python NumPy extension 1.0 documentation
unary_ufunc
Table of Contents
A unary_ufunc is a struct used as an intermediate step to broadcast a single argument so that a C++ function can be converted to a ufunc like function
<boost/python/numpy/ufunc.hpp>contains theunary_ufuncstructure definitions
synopsis
namespace boost { namespace python { namespace numpy { template <typename TUnaryFunctor, typename TArgument=typename TUnaryFunctor::argument_type, typename TResult=typename TUnaryFunctor::result_type> struct unary_ufunc { static object call(TUnaryFunctor & self, object const & input, object const & output) ; static object make(); }; } } }
constructors
struct example_unary_ufunc { typedef any_valid_type argument_type; typedef any_valid_type result_type; };
| Requirements: | The any_valid type must be defined using typedef as a valid C++ type in order to use the struct methods correctly |
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| Note: | The struct must be exposed as a Python class, and an instance of the class must be created to use the call method corresponding to the __call__ attribute of the Python object |
accessors
template <typename TUnaryFunctor, typename TArgument=typename TUnaryFunctor::argument_type, typename TResult=typename TUnaryFunctor::result_type> static object call(TUnaryFunctor & self, object const & input, object const & output);
| Requires: | Typenames TUnaryFunctor and optionally TArgument for argument type and TResult for result type |
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| Effects: | Passes a Python object to the underlying C++ functor after broadcasting its arguments |
template <typename TUnaryFunctor, typename TArgument=typename TUnaryFunctor::argument_type, typename TResult=typename TUnaryFunctor::result_type> static object make();
| Requires: | Typenames TUnaryFunctor and optionally TArgument for argument type and TResult for result type |
|---|---|
| Returns: | A Python function object to call the overloaded () operator in the struct (in typical usage) |
Example(s)
namespace p = boost::python; namespace np = boost::python::numpy; struct UnarySquare { typedef double argument_type; typedef double result_type; double operator()(double r) const { return r * r;} }; p::object ud = p::class_<UnarySquare, boost::shared_ptr<UnarySquare> >("UnarySquare").def("__call__", np::unary_ufunc<UnarySquare>::make()); p::object inst = ud(); std::cout << "Square of unary scalar 1.0 is " << p::extract <char const * > (p::str(inst.attr("__call__")(1.0))) << std::endl ;


