generate more compact binaries

This commit is contained in:
Wenzel Jakob 2015-07-26 16:33:49 +02:00
parent fa70d30248
commit d4258bafef
12 changed files with 628 additions and 421 deletions

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@ -44,11 +44,11 @@ include_directories(${PYTHON_INCLUDE_DIR} include)
add_library(example SHARED add_library(example SHARED
include/pybind/cast.h include/pybind/cast.h
include/pybind/common.h include/pybind/common.h
include/pybind/mpl.h
include/pybind/operators.h include/pybind/operators.h
include/pybind/pybind.h include/pybind/pybind.h
include/pybind/pytypes.h include/pybind/pytypes.h
include/pybind/typeid.h include/pybind/typeid.h
include/pybind/numpy.h
example/example.cpp example/example.cpp
example/example1.cpp example/example1.cpp
example/example2.cpp example/example2.cpp
@ -59,6 +59,7 @@ add_library(example SHARED
example/example7.cpp example/example7.cpp
example/example8.cpp example/example8.cpp
example/example9.cpp example/example9.cpp
example/example10.cpp
) )
set_target_properties(example PROPERTIES PREFIX "") set_target_properties(example PROPERTIES PREFIX "")

159
README.md
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@ -17,13 +17,13 @@ become an excessively large and unnecessary dependency.
Think of this library as a tiny self-contained version of Boost.Python with Think of this library as a tiny self-contained version of Boost.Python with
everything stripped away that isn't relevant for binding generation. The whole everything stripped away that isn't relevant for binding generation. The whole
codebase requires just over 2000 lines of code and just depends on Python and codebase requires just over 2000 lines of code and only depends on Python and
the C++ standard library. This compact implementation was possible thanks to the C++ standard library. This compact implementation was possible thanks to
some of the new C++11 language features (tuples, lambda functions and variadic some of the new C++11 language features (tuples, lambda functions and variadic
templates), and by only targeting Python 3.x and higher. templates), and by only targeting Python 3.x and higher.
## Core features ## Core features
The following C++ features can be mapped to Python The following core C++ features can be mapped to Python
- Functions accepting and returning custom data structures per value, reference, or pointer - Functions accepting and returning custom data structures per value, reference, or pointer
- Instance methods and static methods - Instance methods and static methods
@ -44,12 +44,18 @@ In addition to the core functionality, pybind11 provides some extra goodies:
Pythons' buffer protocols. This is handy e.g. for fast conversion between Pythons' buffer protocols. This is handy e.g. for fast conversion between
C++ matrix classes like Eigen and NumPy without expensive copy operations. C++ matrix classes like Eigen and NumPy without expensive copy operations.
- pybind11 can automatically vectorize functions so that they are transparently
applied to all entries of one or more NumPy array arguments.
- Python's slice-based access and assignment operations can be supported with - Python's slice-based access and assignment operations can be supported with
just a few lines of code. just a few lines of code.
- pybind11 uses C++11 move constructors and move assignment operators whenever - pybind11 uses C++11 move constructors and move assignment operators whenever
possible to efficiently transfer custom data types. possible to efficiently transfer custom data types.
- It is possible to bind C++11 lambda functions with captured variables. The
lambda capture data is stored inside the resulting Python function object.
## Limitations ## Limitations
Various things that Boost.Python can do remain unsupported, e.g.: Various things that Boost.Python can do remain unsupported, e.g.:
@ -104,3 +110,152 @@ PYTHON_PLUGIN(example) {
return m.ptr(); return m.ptr();
} }
``` ```
## A collection of specific use cases (mostly buffer-related for now)
For brevity, let's set
```C++
namespace py = pybind;
```
### Exposing buffer views
Python supports an extremely general and convenient approach for exchanging
data between plugin libraries. Types can expose a buffer view which provides
fast direct access to the raw internal representation. Suppose we want to bind
the following simplistic Matrix class:
```C++
class Matrix {
public:
Matrix(size_t rows, size_t cols) : m_rows(rows), m_cols(cols) {
m_data = new float[rows*cols];
}
float *data() { return m_data; }
size_t rows() const { return m_rows; }
size_t cols() const { return m_cols; }
private:
size_t m_rows, m_cols;
float *m_data;
};
```
The following binding code exposes the ``Matrix`` contents as a buffer object,
making it possible to cast Matrixes into NumPy arrays. It is even possible to
completely avoid copy operations with Python expressions like
``np.array(matrix_instance, copy = False)``.
```C++
py::class_<Matrix>(m, "Matrix")
.def_buffer([](Matrix &m) -> py::buffer_info {
return py::buffer_info(
m.data(), /* Pointer to buffer */
sizeof(float), /* Size of one scalar */
py::format_descriptor<float>::value(), /* Python struct-style format descriptor */
2, /* Number of dimensions */
{ m.rows(), m.cols() }, /* Buffer dimensions */
{ sizeof(float) * m.rows(), /* Strides (in bytes) for each index */
sizeof(float) }
);
});
```
The snippet above binds a lambda function, which can create ``py::buffer_info``
description records on demand describing a given matrix. The contents of
``py::buffer_info`` mirror the Python buffer protocol specification.
```C++
struct buffer_info {
void *ptr;
size_t itemsize;
std::string format;
int ndim;
std::vector<size_t> shape;
std::vector<size_t> strides;
};
```
### Taking Python buffer objects as arguments
To create a C++ function that can take a Python buffer object as an argument,
simply use the type ``py::buffer`` as one of its arguments. Buffers can exist
in a great variety of configurations, hence some safety checks are usually
necessary in the function body. Below, you can see an basic example on how to
define a custom constructor for the Eigen double precision matrix
(``Eigen::MatrixXd``) type, which supports initialization from compatible
buffer
objects (e.g. a NumPy matrix).
```C++
py::class_<Eigen::MatrixXd>(m, "MatrixXd")
.def("__init__", [](Eigen::MatrixXd &m, py::buffer b) {
/* Request a buffer descriptor from Python */
py::buffer_info info = b.request();
/* Some sanity checks ... */
if (info.format != py::format_descriptor<double>::value())
throw std::runtime_error("Incompatible format: expected a double array!");
if (info.ndim != 2)
throw std::runtime_error("Incompatible buffer dimension!");
if (info.strides[0] == sizeof(double)) {
/* Buffer has the right layout -- directly copy. */
new (&m) Eigen::MatrixXd(info.shape[0], info.shape[1]);
memcpy(m.data(), info.ptr, sizeof(double) * m.size());
} else {
/* Oops -- the buffer is transposed */
new (&m) Eigen::MatrixXd(info.shape[1], info.shape[0]);
memcpy(m.data(), info.ptr, sizeof(double) * m.size());
m.transposeInPlace();
}
});
```
### Taking NumPy arrays as arguments
By exchanging ``py::buffer`` with ``py::array`` in the above snippet, we can
restrict the function so that it only accepts NumPy arrays (rather than any
type of Python object satisfying the buffer object protocol).
In many situations, we want to define a function which only accepts a NumPy
array of a certain data type. This is possible via the ``py::array_dtype<T>``
template. For instance, the following function requires the argument to be a
dense array of doubles in C-style ordering.
```C++
void f(py::array_dtype<double> array);
```
When it is invoked with a different type (e.g. an integer), the binding code
will attempt to cast the input into a NumPy array of the requested type.
### Auto-vectorizing a function over NumPy array arguments
Suppose we want to bind a function with the following signature to Python so
that it can process arbitrary NumPy array arguments (vectors, matrices, general
N-D arrays) in addition to its normal arguments:
```C++
double my_func(int x, float y, double z);
```
This is extremely simple to do!
```C++
m.def("vectorized_func", py::vectorize(my_func));
```
Invoking the function like below causes 4 calls to be made to ``my_func`` with
each of the the array elements. The result is returned as a NumPy array of type
``numpy.dtype.float64``.
```Python
>>> x = np.array([[1, 3],[5, 7]])
>>> y = np.array([[2, 4],[6, 8]])
>>> z = 3
>>> result = vectorized_func(x, y, z)
```
The scalar argument ``z`` is transparently replicated 4 times. The input
arrays ``x`` and ``y`` are automatically converted into the right types (they
are of type ``numpy.dtype.int64`` but need to be ``numpy.dtype.int32`` and
``numpy.dtype.float32``, respectively)
Sometimes we might want to explitly exclude an argument from the vectorization
because it makes little sense to wrap it in a NumPy array. For instance,
suppose the function signature was
```C++
double my_func(int x, float y, my_custom_type *z);
```
This can be done with a stateful Lambda closure:
```C++
// Vectorize a lambda function with a capture object (e.g. to exclude some arguments from the vectorization)
m.def("vectorized_func",
[](py::array_dtype<int> x, py::array_dtype<float> y, my_custom_type *z) {
auto stateful_closure = [z](int x, float y) { return my_func(x, y, z); };
return py::vectorize(stateful_closure)(x, y);
}
);
```

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@ -18,6 +18,7 @@ void init_ex6(py::module &);
void init_ex7(py::module &); void init_ex7(py::module &);
void init_ex8(py::module &); void init_ex8(py::module &);
void init_ex9(py::module &); void init_ex9(py::module &);
void init_ex10(py::module &);
PYTHON_PLUGIN(example) { PYTHON_PLUGIN(example) {
py::module m("example", "pybind example plugin"); py::module m("example", "pybind example plugin");
@ -31,6 +32,7 @@ PYTHON_PLUGIN(example) {
init_ex7(m); init_ex7(m);
init_ex8(m); init_ex8(m);
init_ex9(m); init_ex9(m);
init_ex10(m);
return m.ptr(); return m.ptr();
} }

28
example/example10.cpp Normal file
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@ -0,0 +1,28 @@
/*
example/example10.cpp -- Example 10: auto-vectorize functions for NumPy
Copyright (c) 2015 Wenzel Jakob <wenzel@inf.ethz.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#include "example.h"
#include <pybind/numpy.h>
double my_func(int x, float y, double z) {
std::cout << "my_func(x:int=" << x << ", y:float=" << y << ", z:float=" << z << ")" << std::endl;
return x*y*z;
}
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);
}
);
}

16
example/example10.py Normal file
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@ -0,0 +1,16 @@
#!/usr/bin/env python3
import sys
sys.path.append('.')
import example
import numpy as np
from example import vectorized_func
from example import vectorized_func2
for f in [vectorized_func, vectorized_func2]:
print(f(1, 2, 3))
print(f(np.array(1), np.array(2), 3))
print(f(np.array([1, 3]), np.array([2, 4]), 3))
print(f(np.array([[1, 3, 5], [7, 9, 11]]), np.array([[2, 4, 6], [8, 10, 12]]), 3))
print(np.array([[1, 3, 5], [7, 9, 11]])* np.array([[2, 4, 6], [8, 10, 12]])*3)

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@ -11,7 +11,6 @@
#pragma once #pragma once
#include <pybind/pytypes.h> #include <pybind/pytypes.h>
#include <pybind/mpl.h>
#include <pybind/typeid.h> #include <pybind/typeid.h>
#include <map> #include <map>
#include <array> #include <array>
@ -63,7 +62,8 @@ public:
return Py_None; return Py_None;
} }
// avoid an issue with internal references matching their parent's address // avoid an issue with internal references matching their parent's address
bool dont_cache = parent && ((instance<void> *) parent)->value == (void *) src; bool dont_cache = policy == return_value_policy::reference_internal &&
parent && ((instance<void> *) parent)->value == (void *) src;
auto& internals = get_internals(); auto& internals = get_internals();
auto it_instance = internals.registered_instances.find(src); auto it_instance = internals.registered_instances.find(src);
if (it_instance != internals.registered_instances.end() && !dont_cache) { if (it_instance != internals.registered_instances.end() && !dont_cache) {
@ -126,7 +126,7 @@ protected:
object temp; object temp;
}; };
#define TYPE_CASTER(type, py_name) \ #define PYBIND_TYPE_CASTER(type, py_name) \
protected: \ protected: \
type value; \ type value; \
public: \ public: \
@ -137,7 +137,7 @@ protected:
operator type*() { return &value; } \ operator type*() { return &value; } \
operator type&() { return value; } \ operator type&() { return value; } \
#define TYPE_CASTER_NUMBER(type, py_type, from_type, to_pytype) \ #define PYBIND_TYPE_CASTER_NUMBER(type, py_type, from_type, to_pytype) \
template <> class type_caster<type> { \ template <> class type_caster<type> { \
public: \ public: \
bool load(PyObject *src, bool) { \ bool load(PyObject *src, bool) { \
@ -151,30 +151,30 @@ protected:
static PyObject *cast(type src, return_value_policy /* policy */, PyObject * /* parent */) { \ static PyObject *cast(type src, return_value_policy /* policy */, PyObject * /* parent */) { \
return to_pytype((py_type) src); \ return to_pytype((py_type) src); \
} \ } \
TYPE_CASTER(type, #type); \ PYBIND_TYPE_CASTER(type, #type); \
}; };
TYPE_CASTER_NUMBER(int32_t, long, PyLong_AsLong, PyLong_FromLong) PYBIND_TYPE_CASTER_NUMBER(int32_t, long, PyLong_AsLong, PyLong_FromLong)
TYPE_CASTER_NUMBER(uint32_t, unsigned long, PyLong_AsUnsignedLong, PyLong_FromUnsignedLong) PYBIND_TYPE_CASTER_NUMBER(uint32_t, unsigned long, PyLong_AsUnsignedLong, PyLong_FromUnsignedLong)
TYPE_CASTER_NUMBER(int64_t, PY_LONG_LONG, PyLong_AsLongLong, PyLong_FromLongLong) PYBIND_TYPE_CASTER_NUMBER(int64_t, PY_LONG_LONG, PyLong_AsLongLong, PyLong_FromLongLong)
TYPE_CASTER_NUMBER(uint64_t, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong, PyLong_FromUnsignedLongLong) PYBIND_TYPE_CASTER_NUMBER(uint64_t, unsigned PY_LONG_LONG, PyLong_AsUnsignedLongLong, PyLong_FromUnsignedLongLong)
#if defined(__APPLE__) // size_t/ssize_t are separate types on Mac OS X #if defined(__APPLE__) // size_t/ssize_t are separate types on Mac OS X
TYPE_CASTER_NUMBER(ssize_t, Py_ssize_t, PyLong_AsSsize_t, PyLong_FromSsize_t) PYBIND_TYPE_CASTER_NUMBER(ssize_t, Py_ssize_t, PyLong_AsSsize_t, PyLong_FromSsize_t)
TYPE_CASTER_NUMBER(size_t, size_t, PyLong_AsSize_t, PyLong_FromSize_t) PYBIND_TYPE_CASTER_NUMBER(size_t, size_t, PyLong_AsSize_t, PyLong_FromSize_t)
#endif #endif
TYPE_CASTER_NUMBER(float, float, PyFloat_AsDouble, PyFloat_FromDouble) PYBIND_TYPE_CASTER_NUMBER(float, float, PyFloat_AsDouble, PyFloat_FromDouble)
TYPE_CASTER_NUMBER(double, double, PyFloat_AsDouble, PyFloat_FromDouble) PYBIND_TYPE_CASTER_NUMBER(double, double, PyFloat_AsDouble, PyFloat_FromDouble)
template <> class type_caster<mpl::detail::void_type> { template <> class type_caster<detail::void_type> {
public: public:
bool load(PyObject *, bool) { return true; } bool load(PyObject *, bool) { return true; }
static PyObject *cast(mpl::detail::void_type, return_value_policy /* policy */, PyObject * /* parent */) { static PyObject *cast(detail::void_type, return_value_policy /* policy */, PyObject * /* parent */) {
Py_INCREF(Py_None); Py_INCREF(Py_None);
return Py_None; return Py_None;
} }
TYPE_CASTER(mpl::detail::void_type, "None"); PYBIND_TYPE_CASTER(detail::void_type, "None");
}; };
template <> class type_caster<bool> { template <> class type_caster<bool> {
@ -189,7 +189,7 @@ public:
Py_INCREF(result); Py_INCREF(result);
return result; return result;
} }
TYPE_CASTER(bool, "bool"); PYBIND_TYPE_CASTER(bool, "bool");
}; };
template <> class type_caster<std::string> { template <> class type_caster<std::string> {
@ -203,7 +203,7 @@ public:
static PyObject *cast(const std::string &src, return_value_policy /* policy */, PyObject * /* parent */) { static PyObject *cast(const std::string &src, return_value_policy /* policy */, PyObject * /* parent */) {
return PyUnicode_FromString(src.c_str()); return PyUnicode_FromString(src.c_str());
} }
TYPE_CASTER(std::string, "str"); PYBIND_TYPE_CASTER(std::string, "str");
}; };
#ifdef HAVE_WCHAR_H #ifdef HAVE_WCHAR_H
@ -218,7 +218,7 @@ public:
static PyObject *cast(const std::wstring &src, return_value_policy /* policy */, PyObject * /* parent */) { static PyObject *cast(const std::wstring &src, return_value_policy /* policy */, PyObject * /* parent */) {
return PyUnicode_FromWideChar(src.c_str(), src.length()); return PyUnicode_FromWideChar(src.c_str(), src.length());
} }
TYPE_CASTER(std::wstring, "wstr"); PYBIND_TYPE_CASTER(std::wstring, "wstr");
}; };
#endif #endif
@ -280,7 +280,7 @@ public:
} }
return list; return list;
} }
TYPE_CASTER(type, "list<" + value_conv::name() + ">"); PYBIND_TYPE_CASTER(type, "list<" + value_conv::name() + ">");
}; };
template <typename Key, typename Value> struct type_caster<std::map<Key, Value>> { template <typename Key, typename Value> struct type_caster<std::map<Key, Value>> {
@ -322,7 +322,7 @@ public:
} }
return dict; return dict;
} }
TYPE_CASTER(type, "dict<" + key_conv::name() + ", " + value_conv::name() + ">"); PYBIND_TYPE_CASTER(type, "dict<" + key_conv::name() + ", " + value_conv::name() + ">");
}; };
template <typename T1, typename T2> class type_caster<std::pair<T1, T2>> { template <typename T1, typename T2> class type_caster<std::pair<T1, T2>> {
@ -337,8 +337,8 @@ public:
} }
static PyObject *cast(const type &src, return_value_policy policy, PyObject *parent) { static PyObject *cast(const type &src, return_value_policy policy, PyObject *parent) {
PyObject *o1 = type_caster<typename mpl::normalize_type<T1>::type>::cast(src.first, policy, parent); PyObject *o1 = type_caster<typename detail::decay<T1>::type>::cast(src.first, policy, parent);
PyObject *o2 = type_caster<typename mpl::normalize_type<T2>::type>::cast(src.second, policy, parent); PyObject *o2 = type_caster<typename detail::decay<T2>::type>::cast(src.second, policy, parent);
if (!o1 || !o2) { if (!o1 || !o2) {
Py_XDECREF(o1); Py_XDECREF(o1);
Py_XDECREF(o2); Py_XDECREF(o2);
@ -358,8 +358,8 @@ public:
return type(first, second); return type(first, second);
} }
protected: protected:
type_caster<typename mpl::normalize_type<T1>::type> first; type_caster<typename detail::decay<T1>::type> first;
type_caster<typename mpl::normalize_type<T2>::type> second; type_caster<typename detail::decay<T2>::type> second;
}; };
template <typename ... Tuple> class type_caster<std::tuple<Tuple...>> { template <typename ... Tuple> class type_caster<std::tuple<Tuple...>> {
@ -368,16 +368,16 @@ public:
enum { size = sizeof...(Tuple) }; enum { size = sizeof...(Tuple) };
bool load(PyObject *src, bool convert) { bool load(PyObject *src, bool convert) {
return load(src, convert, typename mpl::make_index_sequence<sizeof...(Tuple)>::type()); return load(src, convert, typename make_index_sequence<sizeof...(Tuple)>::type());
} }
static PyObject *cast(const type &src, return_value_policy policy, PyObject *parent) { static PyObject *cast(const type &src, return_value_policy policy, PyObject *parent) {
return cast(src, policy, parent, typename mpl::make_index_sequence<size>::type()); return cast(src, policy, parent, typename make_index_sequence<size>::type());
} }
static std::string name() { static std::string name() {
std::array<std::string, size> names {{ std::array<std::string, size> names {{
type_caster<typename mpl::normalize_type<Tuple>::type>::name()... type_caster<typename detail::decay<Tuple>::type>::name()...
}}; }};
std::string result("("); std::string result("(");
int counter = 0; int counter = 0;
@ -390,15 +390,29 @@ public:
return result; return result;
} }
operator type() { template <typename ReturnValue, typename Func> typename std::enable_if<!std::is_void<ReturnValue>::value, ReturnValue>::type call(Func &f) {
return cast(typename mpl::make_index_sequence<sizeof...(Tuple)>::type()); return call<ReturnValue, Func>(f, typename make_index_sequence<sizeof...(Tuple)>::type());
} }
template <typename ReturnValue, typename Func> typename std::enable_if<std::is_void<ReturnValue>::value, detail::void_type>::type call(Func &f) {
call<ReturnValue, Func>(f, typename make_index_sequence<sizeof...(Tuple)>::type());
return detail::void_type();
}
operator type() {
return cast(typename make_index_sequence<sizeof...(Tuple)>::type());
}
protected: protected:
template <size_t ... Index> type cast(mpl::index_sequence<Index...>) { template <typename ReturnValue, typename Func, size_t ... Index> ReturnValue call(Func &f, index_sequence<Index...>) {
return f((Tuple) std::get<Index>(value)...);
}
template <size_t ... Index> type cast(index_sequence<Index...>) {
return type((Tuple) std::get<Index>(value)...); return type((Tuple) std::get<Index>(value)...);
} }
template <size_t ... Indices> bool load(PyObject *src, bool convert, mpl::index_sequence<Indices...>) { template <size_t ... Indices> bool load(PyObject *src, bool convert, index_sequence<Indices...>) {
if (!PyTuple_Check(src)) if (!PyTuple_Check(src))
return false; return false;
if (PyTuple_Size(src) != size) if (PyTuple_Size(src) != size)
@ -413,9 +427,9 @@ protected:
} }
/* Implementation: Convert a C++ tuple into a Python tuple */ /* Implementation: Convert a C++ tuple into a Python tuple */
template <size_t ... Indices> static PyObject *cast(const type &src, return_value_policy policy, PyObject *parent, mpl::index_sequence<Indices...>) { template <size_t ... Indices> static PyObject *cast(const type &src, return_value_policy policy, PyObject *parent, index_sequence<Indices...>) {
std::array<PyObject *, size> results {{ std::array<PyObject *, size> results {{
type_caster<typename mpl::normalize_type<Tuple>::type>::cast(std::get<Indices>(src), policy, parent)... type_caster<typename detail::decay<Tuple>::type>::cast(std::get<Indices>(src), policy, parent)...
}}; }};
bool success = true; bool success = true;
for (auto result : results) for (auto result : results)
@ -436,7 +450,7 @@ protected:
} }
protected: protected:
std::tuple<type_caster<typename mpl::normalize_type<Tuple>::type>...> value; std::tuple<type_caster<typename detail::decay<Tuple>::type>...> value;
}; };
/// Type caster for holder types like std::shared_ptr, etc. /// Type caster for holder types like std::shared_ptr, etc.
@ -467,39 +481,29 @@ public:
src.inc_ref(); src.inc_ref();
return (PyObject *) src.ptr(); return (PyObject *) src.ptr();
} }
TYPE_CASTER(handle, "handle"); PYBIND_TYPE_CASTER(handle, "handle");
}; };
#define TYPE_CASTER_PYTYPE(name) \ #define PYBIND_TYPE_CASTER_PYTYPE(name) \
template <> class type_caster<name> { \ template <> class type_caster<name> { \
public: \ public: \
bool load(PyObject *src, bool) { value = name(src, true); return true; } \ bool load(PyObject *src, bool) { value = name(src, true); return true; } \
static PyObject *cast(const name &src, return_value_policy /* policy */, PyObject * /* parent */) { \ static PyObject *cast(const name &src, return_value_policy /* policy */, PyObject * /* parent */) { \
src.inc_ref(); return (PyObject *) src.ptr(); \ src.inc_ref(); return (PyObject *) src.ptr(); \
} \ } \
TYPE_CASTER(name, #name); \ PYBIND_TYPE_CASTER(name, #name); \
}; };
TYPE_CASTER_PYTYPE(object) PYBIND_TYPE_CASTER_PYTYPE(object) PYBIND_TYPE_CASTER_PYTYPE(buffer)
TYPE_CASTER_PYTYPE(buffer) PYBIND_TYPE_CASTER_PYTYPE(capsule) PYBIND_TYPE_CASTER_PYTYPE(dict)
TYPE_CASTER_PYTYPE(capsule) PYBIND_TYPE_CASTER_PYTYPE(float_) PYBIND_TYPE_CASTER_PYTYPE(int_)
TYPE_CASTER_PYTYPE(dict) PYBIND_TYPE_CASTER_PYTYPE(list) PYBIND_TYPE_CASTER_PYTYPE(slice)
TYPE_CASTER_PYTYPE(float_) PYBIND_TYPE_CASTER_PYTYPE(tuple) PYBIND_TYPE_CASTER_PYTYPE(function)
TYPE_CASTER_PYTYPE(int_)
TYPE_CASTER_PYTYPE(list)
TYPE_CASTER_PYTYPE(slice)
TYPE_CASTER_PYTYPE(tuple)
TYPE_CASTER_PYTYPE(function)
TYPE_CASTER_PYTYPE(array)
#undef TYPE_CASTER
#undef TYPE_CASTER_PYTYPE
#undef TYPE_CASTER_NUMBER
NAMESPACE_END(detail) NAMESPACE_END(detail)
template <typename T> inline T cast(PyObject *object) { template <typename T> inline T cast(PyObject *object) {
detail::type_caster<typename mpl::normalize_type<T>::type> conv; detail::type_caster<typename detail::decay<T>::type> conv;
if (!conv.load(object, true)) if (!conv.load(object, true))
throw cast_error("Unable to cast Python object to C++ type"); throw cast_error("Unable to cast Python object to C++ type");
return conv; return conv;
@ -508,7 +512,7 @@ template <typename T> inline T cast(PyObject *object) {
template <typename T> inline object cast(const T &value, return_value_policy policy = return_value_policy::automatic, PyObject *parent = nullptr) { template <typename T> inline object cast(const T &value, return_value_policy policy = return_value_policy::automatic, PyObject *parent = nullptr) {
if (policy == return_value_policy::automatic) if (policy == return_value_policy::automatic)
policy = std::is_pointer<T>::value ? return_value_policy::take_ownership : return_value_policy::copy; policy = std::is_pointer<T>::value ? return_value_policy::take_ownership : return_value_policy::copy;
return object(detail::type_caster<typename mpl::normalize_type<T>::type>::cast(value, policy, parent), false); return object(detail::type_caster<typename detail::decay<T>::type>::cast(value, policy, parent), false);
} }
template <typename T> inline T handle::cast() { return pybind::cast<T>(m_ptr); } template <typename T> inline T handle::cast() { return pybind::cast<T>(m_ptr); }
@ -516,7 +520,7 @@ template <typename T> inline T handle::cast() { return pybind::cast<T>(m_ptr); }
template <typename ... Args> inline object handle::call(Args&&... args_) { template <typename ... Args> inline object handle::call(Args&&... args_) {
const size_t size = sizeof...(Args); const size_t size = sizeof...(Args);
std::array<PyObject *, size> args{ std::array<PyObject *, size> args{
{ detail::type_caster<typename mpl::normalize_type<Args>::type>::cast( { detail::type_caster<typename detail::decay<Args>::type>::cast(
std::forward<Args>(args_), return_value_policy::automatic, nullptr)... } std::forward<Args>(args_), return_value_policy::automatic, nullptr)... }
}; };
bool fail = false; bool fail = false;

View File

@ -30,10 +30,10 @@
#include <vector> #include <vector>
#include <string> #include <string>
#include <stdexcept> #include <stdexcept>
#include <functional>
#include <unordered_map> #include <unordered_map>
#include <iostream> #include <iostream>
#include <memory> #include <memory>
#include <functional>
/// Include Python header, disable linking to pythonX_d.lib on Windows in debug mode /// Include Python header, disable linking to pythonX_d.lib on Windows in debug mode
#if defined(_MSC_VER) #if defined(_MSC_VER)
@ -79,31 +79,27 @@ enum class return_value_policy : int {
/// Format strings for basic number types /// Format strings for basic number types
template <typename type> struct format_descriptor { }; template <typename type> struct format_descriptor { };
template<> struct format_descriptor<int8_t> { static std::string value() { return "b"; }; }; #define DECL_FMT(t, n) template<> struct format_descriptor<t> { static std::string value() { return n; }; };
template<> struct format_descriptor<uint8_t> { static std::string value() { return "B"; }; }; DECL_FMT(int8_t, "b"); DECL_FMT(uint8_t, "B"); DECL_FMT(int16_t, "h"); DECL_FMT(uint16_t, "H");
template<> struct format_descriptor<int16_t> { static std::string value() { return "h"; }; }; DECL_FMT(int32_t, "i"); DECL_FMT(uint32_t, "I"); DECL_FMT(int64_t, "q"); DECL_FMT(uint64_t, "Q");
template<> struct format_descriptor<uint16_t> { static std::string value() { return "H"; }; }; DECL_FMT(float , "f"); DECL_FMT(double, "d");
template<> struct format_descriptor<int32_t> { static std::string value() { return "i"; }; }; #undef DECL_FMT
template<> struct format_descriptor<uint32_t> { static std::string value() { return "I"; }; };
template<> struct format_descriptor<int64_t> { static std::string value() { return "q"; }; };
template<> struct format_descriptor<uint64_t> { static std::string value() { return "Q"; }; };
template<> struct format_descriptor<float> { static std::string value() { return "f"; }; };
template<> struct format_descriptor<double> { static std::string value() { return "d"; }; };
/// Information record describing a Python buffer object /// Information record describing a Python buffer object
struct buffer_info { struct buffer_info {
void *ptr; void *ptr;
size_t itemsize; size_t itemsize, count;
std::string format; // for dense contents, this should be set to format_descriptor<T>::value std::string format; // for dense contents, this should be set to format_descriptor<T>::value
int ndim; int ndim;
std::vector<size_t> shape; std::vector<size_t> shape;
std::vector<size_t> strides; std::vector<size_t> strides;
buffer_info(void *ptr, size_t itemsize, const std::string &format, buffer_info(void *ptr, size_t itemsize, const std::string &format, int ndim,
int ndim, const std::vector<size_t> &shape, const std::vector<size_t> &shape, const std::vector<size_t> &strides)
const std::vector<size_t> &strides)
: ptr(ptr), itemsize(itemsize), format(format), ndim(ndim), : ptr(ptr), itemsize(itemsize), format(format), ndim(ndim),
shape(shape), strides(strides) {} shape(shape), strides(strides) {
count = 1; for (int i=0; i<ndim; ++i) count *= shape[i];
}
}; };
// C++ bindings of core Python exceptions // C++ bindings of core Python exceptions
@ -140,7 +136,29 @@ struct internals {
std::unordered_map<void *, PyObject *> registered_instances; std::unordered_map<void *, PyObject *> registered_instances;
}; };
/// Return a reference to the current 'internals' information
inline internals &get_internals(); inline internals &get_internals();
/// Index sequence for convenient template metaprogramming involving tuples
template<size_t ...> struct index_sequence { };
template<size_t N, size_t ...S> struct make_index_sequence : make_index_sequence <N - 1, N - 1, S...> { };
template<size_t ...S> struct make_index_sequence <0, S...> { typedef index_sequence<S...> type; };
/// Strip the class from a method type
template <typename T> struct remove_class {};
template <typename C, typename R, typename... A> struct remove_class<R (C::*)(A...)> { typedef R type(A...); };
template <typename C, typename R, typename... A> struct remove_class<R (C::*)(A...) const> { typedef R type(A...); };
/// Helper template to strip away type modifiers
template <typename T> struct decay { typedef T type; };
template <typename T> struct decay<const T> { typedef typename decay<T>::type type; };
template <typename T> struct decay<T*> { typedef typename decay<T>::type type; };
template <typename T> struct decay<T&> { typedef typename decay<T>::type type; };
template <typename T> struct decay<T&&> { typedef typename decay<T>::type type; };
template <typename T, size_t N> struct decay<const T[N]> { typedef typename decay<T>::type type; };
template <typename T, size_t N> struct decay<T[N]> { typedef typename decay<T>::type type; };
/// Helper type to replace 'void' in some expressions
struct void_type { };
NAMESPACE_END(detail) NAMESPACE_END(detail)
NAMESPACE_END(pybind) NAMESPACE_END(pybind)

View File

@ -1,195 +0,0 @@
/*
pybind/mpl.h: Simple library for type manipulation and template metaprogramming
Copyright (c) 2015 Wenzel Jakob <wenzel@inf.ethz.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include <pybind/common.h>
#include <tuple>
NAMESPACE_BEGIN(pybind)
NAMESPACE_BEGIN(mpl)
/// Index sequence for convenient template metaprogramming involving tuples
template<size_t ...> struct index_sequence { };
template<size_t N, size_t ...S> struct make_index_sequence : make_index_sequence <N - 1, N - 1, S...> { };
template<size_t ...S> struct make_index_sequence <0, S...> { typedef index_sequence<S...> type; };
/// Helper template to strip away type modifiers
template <typename T> struct normalize_type { typedef T type; };
template <typename T> struct normalize_type<const T> { typedef typename normalize_type<T>::type type; };
template <typename T> struct normalize_type<T*> { typedef typename normalize_type<T>::type type; };
template <typename T> struct normalize_type<T&> { typedef typename normalize_type<T>::type type; };
template <typename T> struct normalize_type<T&&> { typedef typename normalize_type<T>::type type; };
template <typename T, size_t N> struct normalize_type<const T[N]> { typedef typename normalize_type<T>::type type; };
template <typename T, size_t N> struct normalize_type<T[N]> { typedef typename normalize_type<T>::type type; };
NAMESPACE_BEGIN(detail)
/// Strip the class from a method type
template <typename T> struct remove_class {};
template <typename C, typename R, typename... A> struct remove_class<R (C::*)(A...)> { typedef R type(A...); };
template <typename C, typename R, typename... A> struct remove_class<R (C::*)(A...) const> { typedef R type(A...); };
/**
* \brief Convert a lambda function to a std::function
* From http://stackoverflow.com/questions/11893141/inferring-the-call-signature-of-a-lambda-or-arbitrary-callable-for-make-functio
*/
template <typename T> struct lambda_signature_impl {
using type = typename remove_class<
decltype(&std::remove_reference<T>::type::operator())>::type;
};
template <typename R, typename... A> struct lambda_signature_impl<R (A...)> { typedef R type(A...); };
template <typename R, typename... A> struct lambda_signature_impl<R (&)(A...)> { typedef R type(A...); };
template <typename R, typename... A> struct lambda_signature_impl<R (*)(A...)> { typedef R type(A...); };
template <typename T> using lambda_signature = typename lambda_signature_impl<T>::type;
template <typename F> using make_function_type = std::function<lambda_signature<F>>;
NAMESPACE_END(detail)
template<typename F> detail::make_function_type<F> make_function(F &&f) {
return detail::make_function_type<F>(std::forward<F>(f)); }
NAMESPACE_BEGIN(detail)
struct void_type { };
/// Helper functions for calling a function using a tuple argument while dealing with void/non-void return values
template <typename RetType> struct tuple_dispatch {
typedef RetType return_type;
template<typename Func, typename Arg, size_t ... S> return_type operator()(const Func &f, Arg && args, index_sequence<S...>) {
return f(std::get<S>(std::forward<Arg>(args))...);
}
};
/// Helper functions for calling a function using a tuple argument (special case for void return values)
template <> struct tuple_dispatch<void> {
typedef void_type return_type;
template<typename Func, typename Arg, size_t ... S> return_type operator()(const Func &f, Arg &&args, index_sequence<S...>) {
f(std::get<S>(std::forward<Arg>(args))...);
return return_type();
}
};
NAMESPACE_END(detail)
/// For lambda functions delegate to their 'operator()'
template <typename T> struct function_traits : function_traits<typename detail::make_function_type<T>> { };
/* Deal with reference arguments */
template <typename ReturnType, typename... Args>
struct function_traits<ReturnType(*&)(Args...)> : function_traits<ReturnType(*)(Args...)> {};
template <typename ClassType, typename ReturnType, typename... Args>
struct function_traits<ReturnType(ClassType::*&)(Args...)> : function_traits<ReturnType(ClassType::*)(Args...)> {};
template <typename ClassType, typename ReturnType, typename... Args>
struct function_traits<ReturnType(ClassType::*&)(Args...) const> : function_traits<ReturnType(ClassType::*)(Args...) const> {};
/// Type traits for function pointers
template <typename ReturnType, typename... Args>
struct function_traits<ReturnType(*)(Args...)> {
enum {
nargs = sizeof...(Args),
is_method = 0,
is_const = 0
};
typedef std::function<ReturnType (Args...)> f_type;
typedef detail::tuple_dispatch<ReturnType> dispatch_type;
typedef typename dispatch_type::return_type return_type;
typedef std::tuple<Args...> args_type;
template <size_t i> struct arg {
typedef typename std::tuple_element<i, args_type>::type type;
};
static f_type cast(ReturnType (*func)(Args ...)) { return func; }
static return_type dispatch(const f_type &f, args_type &&args) {
return dispatch_type()(f, std::move(args),
typename make_index_sequence<nargs>::type());
}
};
/// Type traits for ordinary methods
template <typename ClassType, typename ReturnType, typename... Args>
struct function_traits<ReturnType(ClassType::*)(Args...)> {
enum {
nargs = sizeof...(Args),
is_method = 1,
is_const = 0
};
typedef std::function<ReturnType(ClassType &, Args...)> f_type;
typedef detail::tuple_dispatch<ReturnType> dispatch_type;
typedef typename dispatch_type::return_type return_type;
typedef std::tuple<ClassType&, Args...> args_type;
template <size_t i> struct arg {
typedef typename std::tuple_element<i, args_type>::type type;
};
static f_type cast(ReturnType (ClassType::*func)(Args ...)) { return std::mem_fn(func); }
static return_type dispatch(const f_type &f, args_type &&args) {
return dispatch_type()(f, std::move(args),
typename make_index_sequence<nargs+1>::type());
}
};
/// Type traits for const methods
template <typename ClassType, typename ReturnType, typename... Args>
struct function_traits<ReturnType(ClassType::*)(Args...) const> {
enum {
nargs = sizeof...(Args),
is_method = 1,
is_const = 1
};
typedef std::function<ReturnType (const ClassType &, Args...)> f_type;
typedef detail::tuple_dispatch<ReturnType> dispatch_type;
typedef typename dispatch_type::return_type return_type;
typedef std::tuple<const ClassType&, Args...> args_type;
template <size_t i> struct arg {
typedef typename std::tuple_element<i, args_type>::type type;
};
static f_type cast(ReturnType (ClassType::*func)(Args ...) const) {
return std::mem_fn(func);
}
static return_type dispatch(const f_type &f, args_type &&args) {
return dispatch_type()(f, std::move(args),
typename make_index_sequence<nargs+1>::type());
}
};
/// Type traits for std::functions
template <typename ReturnType, typename... Args>
struct function_traits<std::function<ReturnType(Args...)>> {
enum {
nargs = sizeof...(Args),
is_method = 0,
is_const = 0
};
typedef std::function<ReturnType (Args...)> f_type;
typedef detail::tuple_dispatch<ReturnType> dispatch_type;
typedef typename dispatch_type::return_type return_type;
typedef std::tuple<Args...> args_type;
template <size_t i> struct arg {
typedef typename std::tuple_element<i, args_type>::type type;
};
static f_type cast(const f_type &func) { return func; }
static return_type dispatch(const f_type &f, args_type &&args) {
return dispatch_type()(f, std::move(args),
typename make_index_sequence<nargs>::type());
}
};
NAMESPACE_END(mpl)
NAMESPACE_END(pybind)

201
include/pybind/numpy.h Normal file
View File

@ -0,0 +1,201 @@
/*
pybind/numpy.h: Basic NumPy support, auto-vectorization support
Copyright (c) 2015 Wenzel Jakob <wenzel@inf.ethz.ch>
All rights reserved. Use of this source code is governed by a
BSD-style license that can be found in the LICENSE file.
*/
#pragma once
#include <pybind/pybind.h>
#if defined(_MSC_VER)
#pragma warning(push)
#pragma warning(disable: 4127) // warning C4127: Conditional expression is constant
#endif
NAMESPACE_BEGIN(pybind)
class array : public buffer {
protected:
struct API {
enum Entries {
API_PyArray_Type = 2,
API_PyArray_DescrFromType = 45,
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
};
static API lookup() {
PyObject *numpy = PyImport_ImportModule("numpy.core.multiarray");
PyObject *capsule = numpy ? PyObject_GetAttrString(numpy, "_ARRAY_API") : nullptr;
void **api_ptr = (void **) (capsule ? PyCapsule_GetPointer(capsule, NULL) : nullptr);
Py_XDECREF(capsule);
Py_XDECREF(numpy);
if (api_ptr == nullptr)
throw std::runtime_error("Could not acquire pointer to NumPy API!");
API api;
api.PyArray_Type = (decltype(api.PyArray_Type)) api_ptr[API_PyArray_Type];
api.PyArray_DescrFromType = (decltype(api.PyArray_DescrFromType)) api_ptr[API_PyArray_DescrFromType];
api.PyArray_FromAny = (decltype(api.PyArray_FromAny)) api_ptr[API_PyArray_FromAny];
api.PyArray_NewCopy = (decltype(api.PyArray_NewCopy)) api_ptr[API_PyArray_NewCopy];
api.PyArray_NewFromDescr = (decltype(api.PyArray_NewFromDescr)) api_ptr[API_PyArray_NewFromDescr];
return api;
}
bool PyArray_Check(PyObject *obj) const { return (bool) PyObject_TypeCheck(obj, PyArray_Type); }
PyObject *(*PyArray_DescrFromType)(int);
PyObject *(*PyArray_NewFromDescr)
(PyTypeObject *, PyObject *, int, Py_intptr_t *,
Py_intptr_t *, void *, int, PyObject *);
PyObject *(*PyArray_NewCopy)(PyObject *, int);
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]);
if (descr == nullptr)
throw std::runtime_error("NumPy: unsupported buffer format!");
Py_intptr_t shape = (Py_intptr_t) size;
PyObject *tmp = api.PyArray_NewFromDescr(
api.PyArray_Type, descr, 1, &shape, nullptr, (void *) ptr, 0, nullptr);
if (tmp == nullptr)
throw std::runtime_error("NumPy: unable to create array!");
m_ptr = api.PyArray_NewCopy(tmp, -1 /* any order */);
Py_DECREF(tmp);
if (m_ptr == nullptr)
throw std::runtime_error("NumPy: unable to copy array!");
}
array(const buffer_info &info) {
API& api = lookup_api();
if (info.format.size() != 1)
throw std::runtime_error("Unsupported buffer format!");
PyObject *descr = api.PyArray_DescrFromType(info.format[0]);
if (descr == nullptr)
throw std::runtime_error("NumPy: unsupported buffer format '" + info.format + "'!");
PyObject *tmp = api.PyArray_NewFromDescr(
api.PyArray_Type, descr, info.ndim, (Py_intptr_t *) &info.shape[0],
(Py_intptr_t *) &info.strides[0], info.ptr, 0, nullptr);
if (tmp == nullptr)
throw std::runtime_error("NumPy: unable to create array!");
m_ptr = api.PyArray_NewCopy(tmp, -1 /* any order */);
Py_DECREF(tmp);
if (m_ptr == nullptr)
throw std::runtime_error("NumPy: unable to copy array!");
}
protected:
static API &lookup_api() {
static API api = API::lookup();
return api;
}
};
template <typename T> class array_dtype : public array {
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) {
API &api = lookup_api();
PyObject *descr = api.PyArray_DescrFromType(format_descriptor<T>::value()[0]);
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);
}
};
NAMESPACE_BEGIN(detail)
PYBIND_TYPE_CASTER_PYTYPE(array)
PYBIND_TYPE_CASTER_PYTYPE(array_dtype<int8_t>) PYBIND_TYPE_CASTER_PYTYPE(array_dtype<uint8_t>)
PYBIND_TYPE_CASTER_PYTYPE(array_dtype<int16_t>) PYBIND_TYPE_CASTER_PYTYPE(array_dtype<uint16_t>)
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>)
NAMESPACE_END(detail)
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 ...),
detail::index_sequence<Index...>) {
return [f](array_dtype<args_type>... args) -> array {
/* Request buffers from all parameters */
const size_t N = sizeof...(args_type);
std::array<buffer_info, N> buffers {{ args.request()... }};
/* Determine dimensions parameters of output array */
int ndim = 0; size_t count = 0;
std::vector<size_t> shape;
for (size_t i=0; i<N; ++i) {
if (buffers[i].count > count) {
ndim = buffers[i].ndim;
shape = buffers[i].shape;
count = buffers[i].count;
}
}
std::vector<size_t> strides(ndim);
if (ndim > 0) {
strides[ndim-1] = sizeof(return_type);
for (int i=ndim-1; i>0; --i)
strides[i-1] = strides[i] * shape[i];
}
/* Check if the parameters are actually compatible */
for (size_t i=0; i<N; ++i) {
if (buffers[i].count != 1 && (buffers[i].ndim != ndim || buffers[i].shape != shape))
throw std::runtime_error("pybind::vectorize: incompatible size/dimension of inputs!");
}
/* Call the function */
std::vector<return_type> result(count);
for (size_t i=0; i<count; ++i)
result[i] = f((buffers[Index].count == 1
? *((args_type *) buffers[Index].ptr)
: ((args_type *) buffers[Index].ptr)[i])...);
if (count == 1)
return cast(result[0]);
/* Return the result */
return array(buffer_info(result.data(), sizeof(return_type),
format_descriptor<return_type>::value(),
ndim, shape, strides));
};
}
template <typename func_type, typename return_type, typename... args_type>
std::function<object(array_dtype<args_type>...)>
vectorize(func_type &&f, return_type (*f_) (args_type ...) = nullptr) {
return vectorize(f, f_, typename detail::make_index_sequence<sizeof...(args_type)>::type());
}
template <typename return_type, typename... args_type>
std::function<object(array_dtype<args_type>...)> vectorize(return_type (*f) (args_type ...)) {
return vectorize(f, f);
}
template <typename func> auto vectorize(func &&f) -> decltype(
vectorize(std::forward<func>(f), (typename detail::remove_class<decltype(&std::remove_reference<func>::type::operator())>::type *) nullptr)) {
return vectorize(std::forward<func>(f), (typename detail::remove_class<decltype(
&std::remove_reference<func>::type::operator())>::type *) nullptr);
}
NAMESPACE_END(pybind)
#if defined(_MSC_VER)
#pragma warning(pop)
#endif

View File

@ -17,13 +17,12 @@ NAMESPACE_BEGIN(detail)
/// Enumeration with all supported operator types /// Enumeration with all supported operator types
enum op_id : int { enum op_id : int {
op_add, op_sub, op_mul, op_div, op_mod, op_divmod, op_pow, op_add, op_sub, op_mul, op_div, op_mod, op_divmod, op_pow, op_lshift,
op_lshift, op_rshift, op_and, op_xor, op_or, op_neg, op_rshift, op_and, op_xor, op_or, op_neg, op_pos, op_abs, op_invert,
op_pos, op_abs, op_invert, op_int, op_long, op_float, op_int, op_long, op_float, op_str, op_cmp, op_gt, op_ge, op_lt, op_le,
op_str, op_cmp, op_gt, op_ge, op_lt, op_le, op_eq, op_ne, op_eq, op_ne, op_iadd, op_isub, op_imul, op_idiv, op_imod, op_ilshift,
op_iadd, op_isub, op_imul, op_idiv, op_imod, op_ilshift, op_irshift, op_iand, op_ixor, op_ior, op_complex, op_bool, op_nonzero,
op_irshift, op_iand, op_ixor, op_ior, op_complex, op_bool, op_repr, op_truediv
op_nonzero, op_repr, op_truediv
}; };
enum op_type : int { enum op_type : int {
@ -33,12 +32,11 @@ enum op_type : int {
}; };
struct self_t { }; struct self_t { };
static const self_t self = self_t();
/// Type for an unused type slot /// Type for an unused type slot
struct undefined_t { }; struct undefined_t { };
static const self_t self = self_t();
/// Don't warn about an unused variable /// Don't warn about an unused variable
inline self_t __self() { return self; } inline self_t __self() { return self; }
@ -140,7 +138,6 @@ PYBIND_UNARY_OPERATOR(float, float_, (double) l)
#undef PYBIND_BINARY_OPERATOR #undef PYBIND_BINARY_OPERATOR
#undef PYBIND_INPLACE_OPERATOR #undef PYBIND_INPLACE_OPERATOR
#undef PYBIND_UNARY_OPERATOR #undef PYBIND_UNARY_OPERATOR
NAMESPACE_END(detail) NAMESPACE_END(detail)
using detail::self; using detail::self;

View File

@ -22,49 +22,112 @@
NAMESPACE_BEGIN(pybind) NAMESPACE_BEGIN(pybind)
/// Wraps an arbitrary C++ function/method/lambda function/.. into a callable Python object
class cpp_function : public function { class cpp_function : public function {
public: private:
/// Chained list of function entries for overloading
struct function_entry { struct function_entry {
std::function<PyObject* (PyObject *)> impl; PyObject * (*impl) (function_entry *, PyObject *, PyObject *);
void *data;
std::string signature, doc; std::string signature, doc;
bool is_constructor; bool is_constructor;
return_value_policy policy;
function_entry *next = nullptr; function_entry *next = nullptr;
}; };
/// Picks a suitable return value converter from cast.h
template <typename T> using return_value_caster =
detail::type_caster<typename std::conditional<
std::is_void<T>::value, detail::void_type, typename detail::decay<T>::type>::type>;
/// Picks a suitable argument value converter from cast.h
template <typename ... T> using arg_value_caster =
detail::type_caster<typename std::tuple<T...>>;
public:
cpp_function() { } cpp_function() { }
template <typename Func> cpp_function(
Func &&_func, const char *name = nullptr, const char *doc = nullptr,
return_value_policy policy = return_value_policy::automatic,
function sibling = function(), bool is_method = false) {
/* Function traits extracted from the template type 'Func' */
typedef mpl::function_traits<Func> f_traits;
/* Suitable input and output casters */ /// Vanilla function pointers
typedef typename detail::type_caster<typename f_traits::args_type> cast_in; template <typename return_type, typename... arg_type>
typedef typename detail::type_caster<typename mpl::normalize_type<typename f_traits::return_type>::type> cast_out; cpp_function(return_type (*f)(arg_type...), const char *name = nullptr,
typename f_traits::f_type func = f_traits::cast(std::forward<Func>(_func)); const char *doc = nullptr, return_value_policy policy = return_value_policy::automatic,
const function &sibling = function(), bool is_method = false) {
auto impl = [func, policy](PyObject *pyArgs) -> PyObject *{ typedef arg_value_caster<arg_type...> cast_in;
typedef return_value_caster<return_type> cast_out;
auto impl = [](function_entry *entry, PyObject *pyArgs, PyObject *parent) -> PyObject * {
cast_in args; cast_in args;
if (!args.load(pyArgs, true)) if (!args.load(pyArgs, true)) return nullptr;
return nullptr; auto f = (return_type (*) (arg_type...)) entry->data;
PyObject *parent = policy != return_value_policy::reference_internal return cast_out::cast(args.template call<return_type>(f),
? nullptr : PyTuple_GetItem(pyArgs, 0); entry->policy, parent);
return cast_out::cast(
f_traits::dispatch(func, args.operator typename f_traits::args_type()),
policy, parent);
}; };
initialize(name, doc, cast_in::name() + std::string(" -> ") + cast_out::name(), initialize(name, doc, cast_in::name() + std::string(" -> ") + cast_out::name(),
sibling, is_method, std::move(impl)); sibling, is_method, policy, impl, (void *) f);
} }
/// Delegating helper constructor to deal with lambda functions
template <typename func>
cpp_function(func &&f, const char *name = nullptr,
const char *doc = nullptr,
return_value_policy policy = return_value_policy::automatic,
const function &sibling = function(), bool is_method = false) {
initialize(std::forward<func>(f), name, doc, policy, sibling, is_method,
(typename detail::remove_class<decltype(
&std::remove_reference<func>::type::operator())>::type *) nullptr);
}
/// Class methods (non-const)
template <typename return_type, typename class_type, typename ... arg_type> cpp_function(
return_type (class_type::*f)(arg_type...), const char *name = nullptr,
const char *doc = nullptr, return_value_policy policy = return_value_policy::automatic,
const function &sibling = function(), bool is_method = false) {
initialize([f](class_type *c, arg_type... args) -> return_type { return (c->*f)(args...); },
name, doc, policy, sibling, is_method, (return_type (*)(class_type *, arg_type ...)) nullptr);
}
/// Class methods (const)
template <typename return_type, typename class_type, typename ... arg_type> cpp_function(
return_type (class_type::*f)(arg_type...) const, const char *name = nullptr,
const char *doc = nullptr, return_value_policy policy = return_value_policy::automatic,
const function &sibling = function(), bool is_method = false) {
initialize([f](const class_type *c, arg_type... args) -> return_type { return (c->*f)(args...); },
name, doc, policy, sibling, is_method, (return_type (*)(const class_type *, arg_type ...)) nullptr);
}
private: private:
/// Functors, lambda functions, etc.
template <typename func, typename return_type, typename... arg_type>
void initialize(func &&f, const char *name, const char *doc,
return_value_policy policy, const function &sibling,
bool is_method, return_type (*)(arg_type...)) {
typedef arg_value_caster<arg_type...> cast_in;
typedef return_value_caster<return_type> cast_out;
struct capture { typename std::remove_reference<func>::type f; };
void *ptr = new capture { std::forward<func>(f) };
auto impl = [](function_entry *entry, PyObject *pyArgs, PyObject *parent) -> PyObject *{
cast_in args;
if (!args.load(pyArgs, true)) return nullptr;
func &f = ((capture *) entry->data)->f;
return cast_out::cast(args.template call<return_type>(f),
entry->policy, parent);
};
initialize(name, doc, cast_in::name() + std::string(" -> ") + cast_out::name(),
sibling, is_method, policy, impl, ptr);
}
static PyObject *dispatcher(PyObject *self, PyObject *args, PyObject * /* kwargs */) { static PyObject *dispatcher(PyObject *self, PyObject *args, PyObject * /* kwargs */) {
function_entry *overloads = (function_entry *) PyCapsule_GetPointer(self, nullptr); function_entry *overloads = (function_entry *) PyCapsule_GetPointer(self, nullptr);
PyObject *result = nullptr; PyObject *result = nullptr;
PyObject *parent = PyTuple_Size(args) > 0 ? PyTuple_GetItem(args, 0) : nullptr;
try { try {
for (function_entry *it = overloads; it != nullptr; it = it->next) { for (function_entry *it = overloads; it != nullptr; it = it->next) {
if ((result = it->impl(args)) != nullptr) if ((result = it->impl(it, args, parent)) != nullptr)
break; break;
} }
} catch (const error_already_set &) { return nullptr; } catch (const error_already_set &) { return nullptr;
@ -100,15 +163,19 @@ private:
void initialize(const char *name, const char *doc, void initialize(const char *name, const char *doc,
const std::string &signature, function sibling, const std::string &signature, function sibling,
bool is_method, std::function<PyObject *(PyObject *)> &&impl) { bool is_method, return_value_policy policy,
PyObject *(*impl) (function_entry *, PyObject *, PyObject *),
void *data) {
if (name == nullptr) if (name == nullptr)
name = ""; name = "";
/* Linked list of function call handlers (for overloading) */ /* Linked list of function call handlers (for overloading) */
function_entry *entry = new function_entry(); function_entry *entry = new function_entry();
entry->impl = std::move(impl); entry->impl = impl;
entry->is_constructor = !strcmp(name, "__init__"); entry->is_constructor = !strcmp(name, "__init__");
entry->policy = policy;
entry->signature = signature; entry->signature = signature;
entry->data = data;
if (doc) entry->doc = doc; if (doc) entry->doc = doc;
if (!sibling.ptr() || !PyCFunction_Check(sibling.ptr())) { if (!sibling.ptr() || !PyCFunction_Check(sibling.ptr())) {
@ -159,16 +226,15 @@ private:
class cpp_method : public cpp_function { class cpp_method : public cpp_function {
public: public:
cpp_method () { } cpp_method () { }
template <typename Func> template <typename func> cpp_method(func &&f, const char *name = nullptr,
cpp_method(Func &&_func, const char *name = nullptr, const char *doc = nullptr, const char *doc = nullptr, return_value_policy
return_value_policy policy = return_value_policy::automatic, policy = return_value_policy::automatic, function sibling = function())
function sibling = function()) : cpp_function(std::forward<func>(f), name, doc, policy, sibling, true) {}
: cpp_function(std::forward<Func>(_func), name, doc, policy, sibling, true) { }
}; };
class module : public object { class module : public object {
public: public:
PYTHON_OBJECT_DEFAULT(module, object, PyModule_Check) PYBIND_OBJECT_DEFAULT(module, object, PyModule_Check)
module(const char *name, const char *doc = nullptr) { module(const char *name, const char *doc = nullptr) {
PyModuleDef *def = new PyModuleDef(); PyModuleDef *def = new PyModuleDef();
@ -214,7 +280,7 @@ template <typename ... Args> struct init;
/// Basic support for creating new Python heap types /// Basic support for creating new Python heap types
class custom_type : public object { class custom_type : public object {
public: public:
PYTHON_OBJECT_DEFAULT(custom_type, object, PyType_Check) PYBIND_OBJECT_DEFAULT(custom_type, object, PyType_Check)
custom_type(object &scope, const char *name_, const std::string &type_name, custom_type(object &scope, const char *name_, const std::string &type_name,
size_t type_size, size_t instance_size, size_t type_size, size_t instance_size,
@ -364,14 +430,13 @@ protected:
static void releasebuffer(PyObject *, Py_buffer *view) { delete (buffer_info *) view->internal; } static void releasebuffer(PyObject *, Py_buffer *view) { delete (buffer_info *) view->internal; }
}; };
NAMESPACE_END(detail) NAMESPACE_END(detail)
template <typename type, typename holder_type = std::unique_ptr<type>> class class_ : public detail::custom_type { template <typename type, typename holder_type = std::unique_ptr<type>> class class_ : public detail::custom_type {
public: public:
typedef detail::instance<type, holder_type> instance_type; typedef detail::instance<type, holder_type> instance_type;
PYTHON_OBJECT(class_, detail::custom_type, PyType_Check) PYBIND_OBJECT(class_, detail::custom_type, PyType_Check)
class_(object &scope, const char *name, const char *doc = nullptr) class_(object &scope, const char *name, const char *doc = nullptr)
: detail::custom_type(scope, name, type_id<type>(), sizeof(type), : detail::custom_type(scope, name, type_id<type>(), sizeof(type),
@ -603,6 +668,3 @@ NAMESPACE_END(pybind)
#if defined(_MSC_VER) #if defined(_MSC_VER)
#pragma warning(pop) #pragma warning(pop)
#endif #endif
#undef PYTHON_OBJECT
#undef PYTHON_OBJECT_DEFAULT

View File

@ -19,9 +19,7 @@ class object;
class str; class str;
class object; class object;
class dict; class dict;
NAMESPACE_BEGIN(detail) namespace detail { class accessor; }
class accessor;
NAMESPACE_END(detail)
/// Holds a reference to a Python object (no reference counting) /// Holds a reference to a Python object (no reference counting)
class handle { class handle {
@ -189,7 +187,6 @@ private:
PyObject *dict, *key, *value; PyObject *dict, *key, *value;
ssize_t pos = 0; ssize_t pos = 0;
}; };
NAMESPACE_END(detail) NAMESPACE_END(detail)
inline detail::accessor handle::operator[](handle key) { return detail::accessor(ptr(), key.ptr(), false); } inline detail::accessor handle::operator[](handle key) { return detail::accessor(ptr(), key.ptr(), false); }
@ -197,21 +194,24 @@ inline detail::accessor handle::operator[](const char *key) { return detail::acc
inline detail::accessor handle::attr(handle key) { return detail::accessor(ptr(), key.ptr(), true); } inline detail::accessor handle::attr(handle key) { return detail::accessor(ptr(), key.ptr(), true); }
inline detail::accessor handle::attr(const char *key) { return detail::accessor(ptr(), key, true); } inline detail::accessor handle::attr(const char *key) { return detail::accessor(ptr(), key, true); }
#define PYTHON_OBJECT(Name, Parent, CheckFun) \ #define PYBIND_OBJECT_CVT(Name, Parent, CheckFun, CvtStmt) \
Name(const handle &h, bool borrowed) : Parent(h, borrowed) { } \ Name(const handle &h, bool borrowed) : Parent(h, borrowed) { CvtStmt; } \
Name(const object& o): Parent(o) { } \ Name(const object& o): Parent(o) { CvtStmt; } \
Name(object&& o): Parent(std::move(o)) { } \ Name(object&& o): Parent(std::move(o)) { CvtStmt; } \
Name& operator=(object&& o) { return static_cast<Name&>(object::operator=(std::move(o))); } \ Name& operator=(object&& o) { return static_cast<Name&>(object::operator=(std::move(o))); CvtStmt; } \
Name& operator=(object& o) { return static_cast<Name&>(object::operator=(o)); } \ Name& operator=(object& o) { return static_cast<Name&>(object::operator=(o)); CvtStmt; } \
bool check() const { return m_ptr != nullptr && (bool) CheckFun(m_ptr); } bool check() const { return m_ptr != nullptr && (bool) CheckFun(m_ptr); }
#define PYTHON_OBJECT_DEFAULT(Name, Parent, CheckFun) \ #define PYBIND_OBJECT(Name, Parent, CheckFun) \
PYTHON_OBJECT(Name, Parent, CheckFun) \ PYBIND_OBJECT_CVT(Name, Parent, CheckFun, )
#define PYBIND_OBJECT_DEFAULT(Name, Parent, CheckFun) \
PYBIND_OBJECT(Name, Parent, CheckFun) \
Name() : Parent() { } Name() : Parent() { }
class str : public object { class str : public object {
public: public:
PYTHON_OBJECT_DEFAULT(str, object, PyUnicode_Check) PYBIND_OBJECT_DEFAULT(str, object, PyUnicode_Check)
str(const char *s) : object(PyUnicode_FromString(s), false) { } str(const char *s) : object(PyUnicode_FromString(s), false) { }
operator const char *() const { return PyUnicode_AsUTF8(m_ptr); } operator const char *() const { return PyUnicode_AsUTF8(m_ptr); }
}; };
@ -221,13 +221,13 @@ inline std::ostream &operator<<(std::ostream &os, const object &obj) { os << (co
class bool_ : public object { class bool_ : public object {
public: public:
PYTHON_OBJECT_DEFAULT(bool_, object, PyBool_Check) PYBIND_OBJECT_DEFAULT(bool_, object, PyBool_Check)
operator bool() const { return m_ptr && PyLong_AsLong(m_ptr) != 0; } operator bool() const { return m_ptr && PyLong_AsLong(m_ptr) != 0; }
}; };
class int_ : public object { class int_ : public object {
public: public:
PYTHON_OBJECT_DEFAULT(int_, object, PyLong_Check) PYBIND_OBJECT_DEFAULT(int_, object, PyLong_Check)
int_(int value) : object(PyLong_FromLong((long) value), false) { } int_(int value) : object(PyLong_FromLong((long) value), false) { }
int_(size_t value) : object(PyLong_FromSize_t(value), false) { } int_(size_t value) : object(PyLong_FromSize_t(value), false) { }
int_(ssize_t value) : object(PyLong_FromSsize_t(value), false) { } int_(ssize_t value) : object(PyLong_FromSsize_t(value), false) { }
@ -236,7 +236,7 @@ public:
class float_ : public object { class float_ : public object {
public: public:
PYTHON_OBJECT_DEFAULT(float_, object, PyFloat_Check) PYBIND_OBJECT_DEFAULT(float_, object, PyFloat_Check)
float_(float value) : object(PyFloat_FromDouble((double) value), false) { } float_(float value) : object(PyFloat_FromDouble((double) value), false) { }
float_(double value) : object(PyFloat_FromDouble((double) value), false) { } float_(double value) : object(PyFloat_FromDouble((double) value), false) { }
operator float() const { return (float) PyFloat_AsDouble(m_ptr); } operator float() const { return (float) PyFloat_AsDouble(m_ptr); }
@ -245,7 +245,7 @@ public:
class slice : public object { class slice : public object {
public: public:
PYTHON_OBJECT_DEFAULT(slice, object, PySlice_Check) PYBIND_OBJECT_DEFAULT(slice, object, PySlice_Check)
slice(ssize_t start_, ssize_t stop_, ssize_t step_) { slice(ssize_t start_, ssize_t stop_, ssize_t step_) {
int_ start(start_), stop(stop_), step(step_); int_ start(start_), stop(stop_), step(step_);
m_ptr = PySlice_New(start.ptr(), stop.ptr(), step.ptr()); m_ptr = PySlice_New(start.ptr(), stop.ptr(), step.ptr());
@ -257,7 +257,7 @@ public:
class capsule : public object { class capsule : public object {
public: public:
PYTHON_OBJECT_DEFAULT(capsule, object, PyCapsule_CheckExact) PYBIND_OBJECT_DEFAULT(capsule, object, PyCapsule_CheckExact)
capsule(void *value) : object(PyCapsule_New(value, nullptr, nullptr), false) { } capsule(void *value) : object(PyCapsule_New(value, nullptr, nullptr), false) { }
template <typename T> operator T *() const { template <typename T> operator T *() const {
T * result = static_cast<T *>(PyCapsule_GetPointer(m_ptr, nullptr)); T * result = static_cast<T *>(PyCapsule_GetPointer(m_ptr, nullptr));
@ -268,7 +268,7 @@ public:
class tuple : public object { class tuple : public object {
public: public:
PYTHON_OBJECT_DEFAULT(tuple, object, PyTuple_Check) PYBIND_OBJECT_DEFAULT(tuple, object, PyTuple_Check)
tuple(size_t size) : object(PyTuple_New((Py_ssize_t) size), false) { } tuple(size_t size) : object(PyTuple_New((Py_ssize_t) size), false) { }
size_t size() const { return (size_t) PyTuple_Size(m_ptr); } size_t size() const { return (size_t) PyTuple_Size(m_ptr); }
detail::tuple_accessor operator[](size_t index) { return detail::tuple_accessor(ptr(), index); } detail::tuple_accessor operator[](size_t index) { return detail::tuple_accessor(ptr(), index); }
@ -276,7 +276,7 @@ public:
class dict : public object { class dict : public object {
public: public:
PYTHON_OBJECT(dict, object, PyDict_Check) PYBIND_OBJECT(dict, object, PyDict_Check)
dict() : object(PyDict_New(), false) { } dict() : object(PyDict_New(), false) { }
size_t size() const { return (size_t) PyDict_Size(m_ptr); } size_t size() const { return (size_t) PyDict_Size(m_ptr); }
detail::dict_iterator begin() { return (++detail::dict_iterator(ptr(), 0)); } detail::dict_iterator begin() { return (++detail::dict_iterator(ptr(), 0)); }
@ -285,7 +285,7 @@ public:
class list : public object { class list : public object {
public: public:
PYTHON_OBJECT(list, object, PyList_Check) PYBIND_OBJECT(list, object, PyList_Check)
list(size_t size = 0) : object(PyList_New((ssize_t) size), false) { } list(size_t size = 0) : object(PyList_New((ssize_t) size), false) { }
size_t size() const { return (size_t) PyList_Size(m_ptr); } size_t size() const { return (size_t) PyList_Size(m_ptr); }
detail::list_iterator begin() { return detail::list_iterator(ptr(), 0); } detail::list_iterator begin() { return detail::list_iterator(ptr(), 0); }
@ -296,12 +296,12 @@ public:
class function : public object { class function : public object {
public: public:
PYTHON_OBJECT_DEFAULT(function, object, PyFunction_Check) PYBIND_OBJECT_DEFAULT(function, object, PyFunction_Check)
}; };
class buffer : public object { class buffer : public object {
public: public:
PYTHON_OBJECT_DEFAULT(buffer, object, PyObject_CheckBuffer) PYBIND_OBJECT_DEFAULT(buffer, object, PyObject_CheckBuffer)
buffer_info request(bool writable = false) { buffer_info request(bool writable = false) {
int flags = PyBUF_STRIDES | PyBUF_FORMAT; int flags = PyBUF_STRIDES | PyBUF_FORMAT;
@ -322,88 +322,6 @@ private:
Py_buffer *view = nullptr; Py_buffer *view = nullptr;
}; };
class array : public buffer {
protected:
struct API {
enum Entries {
API_PyArray_Type = 2,
API_PyArray_DescrFromType = 45,
API_PyArray_NewCopy = 85,
API_PyArray_NewFromDescr = 94
};
static API lookup() {
PyObject *numpy = PyImport_ImportModule("numpy.core.multiarray");
PyObject *capsule = numpy ? PyObject_GetAttrString(numpy, "_ARRAY_API") : nullptr;
void **api_ptr = (void **) (capsule ? PyCapsule_GetPointer(capsule, NULL) : nullptr);
Py_XDECREF(capsule);
Py_XDECREF(numpy);
if (api_ptr == nullptr)
throw std::runtime_error("Could not acquire pointer to NumPy API!");
API api;
api.PyArray_DescrFromType = (decltype(api.PyArray_DescrFromType)) api_ptr[API_PyArray_DescrFromType];
api.PyArray_NewFromDescr = (decltype(api.PyArray_NewFromDescr)) api_ptr[API_PyArray_NewFromDescr];
api.PyArray_NewCopy = (decltype(api.PyArray_NewCopy)) api_ptr[API_PyArray_NewCopy];
api.PyArray_Type = (decltype(api.PyArray_Type)) api_ptr[API_PyArray_Type];
return api;
}
bool PyArray_Check(PyObject *obj) const {
return (bool) PyObject_TypeCheck(obj, PyArray_Type);
}
PyObject *(*PyArray_DescrFromType)(int);
PyObject *(*PyArray_NewFromDescr)
(PyTypeObject *, PyObject *, int, Py_intptr_t *,
Py_intptr_t *, void *, int, PyObject *);
PyObject *(*PyArray_NewCopy)(PyObject *, int);
PyTypeObject *PyArray_Type;
};
public:
PYTHON_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]);
if (descr == nullptr)
throw std::runtime_error("NumPy: unsupported buffer format!");
Py_intptr_t shape = (Py_intptr_t) size;
PyObject *tmp = api.PyArray_NewFromDescr(
api.PyArray_Type, descr, 1, &shape, nullptr, (void *) ptr, 0, nullptr);
if (tmp == nullptr)
throw std::runtime_error("NumPy: unable to create array!");
m_ptr = api.PyArray_NewCopy(tmp, -1 /* any order */);
Py_DECREF(tmp);
if (m_ptr == nullptr)
throw std::runtime_error("NumPy: unable to copy array!");
}
array(const buffer_info &info) {
API& api = lookup_api();
if (info.format.size() != 1)
throw std::runtime_error("Unsupported buffer format!");
PyObject *descr = api.PyArray_DescrFromType(info.format[0]);
if (descr == nullptr)
throw std::runtime_error("NumPy: unsupported buffer format '" + info.format + "'!");
PyObject *tmp = api.PyArray_NewFromDescr(
api.PyArray_Type, descr, info.ndim, (Py_intptr_t *) &info.shape[0],
(Py_intptr_t *) &info.strides[0], info.ptr, 0, nullptr);
if (tmp == nullptr)
throw std::runtime_error("NumPy: unable to create array!");
m_ptr = api.PyArray_NewCopy(tmp, -1 /* any order */);
Py_DECREF(tmp);
if (m_ptr == nullptr)
throw std::runtime_error("NumPy: unable to copy array!");
}
protected:
static API &lookup_api() {
static API api = API::lookup();
return api;
}
};
NAMESPACE_BEGIN(detail) NAMESPACE_BEGIN(detail)
inline internals &get_internals() { inline internals &get_internals() {
static internals *internals_ptr = nullptr; static internals *internals_ptr = nullptr;