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complex number support

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This commit is contained in:
Wenzel Jakob 2015-07-28 16:12:20 +02:00
parent d4258bafef
commit 43398a8548
6 changed files with 88 additions and 28 deletions
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7
example/example10.cpp
View File

@ -15,14 +15,19 @@ double my_func(int x, float y, double z) {
return x*y*z;
}
std::complex<double> my_func3(std::complex<double> c) {
return c * std::complex<double>(2.f);
}
void init_ex10(py::module &m) {
// Vectorize all arguments (though non-vector arguments are also allowed)
m.def("vectorized_func", py::vectorize(my_func));
// Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization)
m.def("vectorized_func2",
[](py::array_dtype<int> x, py::array_dtype<float> y, float z) {
return py::vectorize([z](int x, float y) { return my_func(x, y, z); })(x, y);
}
);
// Vectorize all arguments (complex numbers)
m.def("vectorized_func3", py::vectorize(my_func3));
}

3
example/example10.py
View File

@ -7,6 +7,9 @@ import numpy as np
from example import vectorized_func
from example import vectorized_func2
from example import vectorized_func3
print(vectorized_func3(np.array(3+7j)))
for f in [vectorized_func, vectorized_func2]:
print(f(1, 2, 3))

17
include/pybind/cast.h
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@ -192,6 +192,23 @@ public:
PYBIND_TYPE_CASTER(bool, "bool");
};
template <typename T> class type_caster<std::complex<T>> {
public:
bool load(PyObject *src, bool) {
Py_complex result = PyComplex_AsCComplex(src);
if (result.real == -1.0 && PyErr_Occurred()) {
PyErr_Clear();
return false;
}
value = std::complex<T>((T) result.real, (T) result.imag);
return true;
}
static PyObject *cast(const std::complex<T> &src, return_value_policy /* policy */, PyObject * /* parent */) {
return PyComplex_FromDoubles((double) src.real(), (double) src.imag());
}
PYBIND_TYPE_CASTER(std::complex<T>, "complex");
};
template <> class type_caster<std::string> {
public:
bool load(PyObject *src, bool) {

10
include/pybind/common.h
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@ -33,7 +33,7 @@
#include <unordered_map>
#include <iostream>
#include <memory>
#include <functional>
#include <complex>
/// Include Python header, disable linking to pythonX_d.lib on Windows in debug mode
#if defined(_MSC_VER)
@ -82,7 +82,8 @@ template <typename type> struct format_descriptor { };
#define DECL_FMT(t, n) template<> struct format_descriptor<t> { static std::string value() { return n; }; };
DECL_FMT(int8_t, "b"); DECL_FMT(uint8_t, "B"); DECL_FMT(int16_t, "h"); DECL_FMT(uint16_t, "H");
DECL_FMT(int32_t, "i"); DECL_FMT(uint32_t, "I"); DECL_FMT(int64_t, "q"); DECL_FMT(uint64_t, "Q");
DECL_FMT(float , "f"); DECL_FMT(double, "d");
DECL_FMT(float, "f"); DECL_FMT(double, "d"); DECL_FMT(bool, "?");
DECL_FMT(std::complex<float>, "Zf"); DECL_FMT(std::complex<double>, "Zd");
#undef DECL_FMT
/// Information record describing a Python buffer object
@ -126,11 +127,12 @@ struct type_info {
PyTypeObject *type;
size_t type_size;
void (*init_holder)(PyObject *);
std::function<buffer_info *(PyObject *)> get_buffer;
std::vector<PyObject *(*)(PyObject *, PyTypeObject *)> implicit_conversions;
buffer_info *(*get_buffer)(PyObject *, void *) = nullptr;
void *get_buffer_data = nullptr;
};
/// Internal data struture used to track registered instances and types
/// Internal data struture used to track registered instances and types
struct internals {
std::unordered_map<std::string, type_info> registered_types;
std::unordered_map<void *, PyObject *> registered_instances;

53
include/pybind/numpy.h
View File

@ -17,8 +17,10 @@
NAMESPACE_BEGIN(pybind)
template <typename type> struct npy_format_descriptor { };
class array : public buffer {
protected:
public:
struct API {
enum Entries {
API_PyArray_Type = 2,
@ -26,10 +28,18 @@ protected:
API_PyArray_FromAny = 69,
API_PyArray_NewCopy = 85,
API_PyArray_NewFromDescr = 94,
API_NPY_C_CONTIGUOUS = 0x0001,
API_NPY_F_CONTIGUOUS = 0x0002,
API_NPY_NPY_ARRAY_FORCECAST = 0x0010,
API_NPY_ENSURE_ARRAY = 0x0040
NPY_C_CONTIGUOUS = 0x0001,
NPY_F_CONTIGUOUS = 0x0002,
NPY_NPY_ARRAY_FORCECAST = 0x0010,
NPY_ENSURE_ARRAY = 0x0040,
NPY_BOOL=0,
NPY_BYTE, NPY_UBYTE,
NPY_SHORT, NPY_USHORT,
NPY_INT, NPY_UINT,
NPY_LONG, NPY_ULONG,
NPY_LONGLONG, NPY_ULONGLONG,
NPY_FLOAT, NPY_DOUBLE, NPY_LONGDOUBLE,
NPY_CFLOAT, NPY_CDOUBLE, NPY_CLONGDOUBLE
};
static API lookup() {
@ -59,13 +69,12 @@ protected:
PyTypeObject *PyArray_Type;
PyObject *(*PyArray_FromAny) (PyObject *, PyObject *, int, int, int, PyObject *);
};
public:
PYBIND_OBJECT_DEFAULT(array, buffer, lookup_api().PyArray_Check)
template <typename Type> array(size_t size, const Type *ptr) {
API& api = lookup_api();
PyObject *descr = api.PyArray_DescrFromType(
(int) format_descriptor<Type>::value()[0]);
PyObject *descr = api.PyArray_DescrFromType(npy_format_descriptor<Type>::value);
if (descr == nullptr)
throw std::runtime_error("NumPy: unsupported buffer format!");
Py_intptr_t shape = (Py_intptr_t) size;
@ -83,7 +92,12 @@ public:
API& api = lookup_api();
if (info.format.size() != 1)
throw std::runtime_error("Unsupported buffer format!");
PyObject *descr = api.PyArray_DescrFromType(info.format[0]);
int fmt = (int) info.format[0];
if (info.format == "Zd")
fmt = API::NPY_CDOUBLE;
else if (info.format == "Zf")
fmt = API::NPY_CFLOAT;
PyObject *descr = api.PyArray_DescrFromType(fmt);
if (descr == nullptr)
throw std::runtime_error("NumPy: unsupported buffer format '" + info.format + "'!");
PyObject *tmp = api.PyArray_NewFromDescr(
@ -109,12 +123,12 @@ public:
PYBIND_OBJECT_CVT(array_dtype, array, is_non_null, m_ptr = ensure(m_ptr));
array_dtype() : array() { }
static bool is_non_null(PyObject *ptr) { return ptr != nullptr; }
static PyObject *ensure(PyObject *ptr) {
PyObject *ensure(PyObject *ptr) {
API &api = lookup_api();
PyObject *descr = api.PyArray_DescrFromType(format_descriptor<T>::value()[0]);
PyObject *descr = api.PyArray_DescrFromType(npy_format_descriptor<T>::value);
return api.PyArray_FromAny(ptr, descr, 0, 0,
API::API_NPY_C_CONTIGUOUS | API::API_NPY_ENSURE_ARRAY |
API::API_NPY_NPY_ARRAY_FORCECAST, nullptr);
API::NPY_C_CONTIGUOUS | API::NPY_ENSURE_ARRAY |
API::NPY_NPY_ARRAY_FORCECAST, nullptr);
}
};
@ -125,8 +139,19 @@ PYBIND_TYPE_CASTER_PYTYPE(array_dtype<int16_t>) PYBIND_TYPE_CASTER_PYTYPE(array_
PYBIND_TYPE_CASTER_PYTYPE(array_dtype<int32_t>) PYBIND_TYPE_CASTER_PYTYPE(array_dtype<uint32_t>)
PYBIND_TYPE_CASTER_PYTYPE(array_dtype<int64_t>) PYBIND_TYPE_CASTER_PYTYPE(array_dtype<uint64_t>)
PYBIND_TYPE_CASTER_PYTYPE(array_dtype<float>) PYBIND_TYPE_CASTER_PYTYPE(array_dtype<double>)
PYBIND_TYPE_CASTER_PYTYPE(array_dtype<std::complex<float>>)
PYBIND_TYPE_CASTER_PYTYPE(array_dtype<std::complex<double>>)
PYBIND_TYPE_CASTER_PYTYPE(array_dtype<bool>)
NAMESPACE_END(detail)
#define DECL_FMT(t, n) template<> struct npy_format_descriptor<t> { enum { value = array::API::n }; }
DECL_FMT(int8_t, NPY_BYTE); DECL_FMT(uint8_t, NPY_UBYTE); DECL_FMT(int16_t, NPY_SHORT);
DECL_FMT(uint16_t, NPY_USHORT); DECL_FMT(int32_t, NPY_INT); DECL_FMT(uint32_t, NPY_UINT);
DECL_FMT(int64_t, NPY_LONGLONG); DECL_FMT(uint64_t, NPY_ULONGLONG); DECL_FMT(float, NPY_FLOAT);
DECL_FMT(double, NPY_DOUBLE); DECL_FMT(bool, NPY_BOOL); DECL_FMT(std::complex<float>, NPY_CFLOAT);
DECL_FMT(std::complex<double>, NPY_CDOUBLE);
#undef DECL_FMT
template <typename func_type, typename return_type, typename... args_type, size_t... Index>
std::function<object(array_dtype<args_type>...)>
vectorize(func_type &&f, return_type (*) (args_type ...),
@ -171,7 +196,7 @@ template <typename func_type, typename return_type, typename... args_type, size_
return cast(result[0]);
/* Return the result */
return array(buffer_info(result.data(), sizeof(return_type),
return array(buffer_info(result.data(), sizeof(return_type),
format_descriptor<return_type>::value(),
ndim, shape, strides));
};

26
include/pybind/pybind.h
View File

@ -393,22 +393,27 @@ protected:
Py_TYPE(self)->tp_free((PyObject*) self);
}
void install_buffer_funcs(const std::function<buffer_info *(PyObject *)> &func) {
void install_buffer_funcs(
buffer_info *(*get_buffer)(PyObject *, void *),
void *get_buffer_data) {
PyHeapTypeObject *type = (PyHeapTypeObject*) m_ptr;
type->ht_type.tp_as_buffer = &type->as_buffer;
type->as_buffer.bf_getbuffer = getbuffer;
type->as_buffer.bf_releasebuffer = releasebuffer;
((detail::type_info *) capsule(attr("__pybind__")))->get_buffer = func;
auto info = ((detail::type_info *) capsule(attr("__pybind__")));
info->get_buffer = get_buffer;
info->get_buffer_data = get_buffer_data;
}
static int getbuffer(PyObject *obj, Py_buffer *view, int flags) {
auto const &info_func = ((detail::type_info *) capsule(handle(obj).attr("__pybind__")))->get_buffer;
if (view == nullptr || obj == nullptr || !info_func) {
auto const &typeinfo = ((detail::type_info *) capsule(handle(obj).attr("__pybind__")));
if (view == nullptr || obj == nullptr || !typeinfo || !typeinfo->get_buffer) {
PyErr_SetString(PyExc_BufferError, "Internal error");
return -1;
}
memset(view, 0, sizeof(Py_buffer));
buffer_info *info = info_func(obj);
buffer_info *info = typeinfo->get_buffer(obj, typeinfo->get_buffer_data);
view->obj = obj;
view->ndim = 1;
view->internal = info;
@ -483,13 +488,16 @@ public:
return *this;
}
class_& def_buffer(const std::function<buffer_info(type&)> &func) {
install_buffer_funcs([func](PyObject *obj) -> buffer_info* {
template <typename Func>
class_& def_buffer(Func &&func) {
struct capture { Func func; };
capture *ptr = new capture { std::forward<Func>(func) };
install_buffer_funcs([](PyObject *obj, void *ptr) -> buffer_info* {
detail::type_caster<type> caster;
if (!caster.load(obj, false))
return nullptr;
return new buffer_info(func(caster));
});
return new buffer_info(((capture *) ptr)->func(caster));
}, ptr);
return *this;
}