我对使用pybind11使用C ++优化某些Python计算感兴趣。 casting documentation对我来说意义不大,并且想知道是否有人知道如何将boost数据类型(特别是cpp_int)转换为Python数据类型,以便我可以返回计算。我尝试做的一个简单示例就是阶乘:
#include <pybind11/pybind11.h>
#include <pybind11/stl.h>
#include <boost/multiprecision/cpp_int.hpp>
using boost::multiprecision::cpp_int;
namespace py = pybind11;
py::int_ fact(int i) {
cpp_int prod = 1;
while(i-- >= 1){
prod *= (i+1);
}
return py::cast(prod);
}
PYBIND11_MODULE(fact, m) {
m.def("fact", &fact,R"pbdoc(
Returns the factorial of a number.
)pbdoc");
}
以上内容可编译,但是当我使用它时,我会得到
TypeError: Unregistered type : boost::multiprecision::number<boost::multiprecision::backends::cpp_int_backend<0u, 0u, (boost::multiprecision::cpp_integer_type)1, (boost::multiprecision::cpp_int_check_type)0, std::allocator<unsigned long long> >, (boost::multiprecision::expression_template_option)1>
所以我认为py :: cast不能正常工作。
我的笔记本电脑运行Windows 10,并且我正在使用Anaconda Python 3.7
C:\Users\15734>python
Python 3.7.1 (default, Dec 10 2018, 22:54:23) [MSC v.1915 64 bit (AMD64)] :: Anaconda, Inc. on win32
Type "help", "copyright", "credits" or "license" for more information.
和Stephan T. Lavavej's MinGW C++ 8.2.0
C:\Users\15734>g++ -v
Using built-in specs.
COLLECT_GCC=g++
COLLECT_LTO_WRAPPER=c:/mingw/bin/../libexec/gcc/x86_64-w64-mingw32/8.2.0/lto-wrapper.exe
Target: x86_64-w64-mingw32
Configured with: ../src/configure --enable-languages=c,c++ --build=x86_64-w64-mingw32 --host=x86_64-w64-mingw32 --target=x86_64-w64-mingw32 --disable-multilib --prefix=/c/temp/gcc/dest --with-sysroot=/c/temp/gcc/dest --disable-libstdcxx-pch --disable-libstdcxx-verbose --disable-nls --disable-shared --disable-win32-registry --with-tune=haswell --enable-threads=posix --enable-libgomp
Thread model: posix
gcc version 8.2.0 (GCC)
我还将Build Tools for Visual Studio 2017用于位于<< strong> C:\ ProgramFiles(x86)\ MicrosoftVisualStudio \ 2017 \ BuildTools \ VC \ Redist \ MSVC \ 14.16.27012 \ onecore \ x64的vcruntime140.dll。 \ Microsoft.VC141.CRT ”(我复制并粘贴到了“ C:\ MinGW \ lib ”)中。我还将“ C:\ Anaconda3 \ Lib \ distutils \ cygwinccompiler.py ”中的所有字符串“ gcc”更改为“ g ++”(我没有用其中的gcc)。
关键字:
“ pybind11”; “助推器”; “ C ++和Python”; “ boost :: multiprecision :: cpp_int”
答案 0 :(得分:2)
我正在工作:
#include <boost/multiprecision/cpp_int.hpp>
#include <iomanip>
#include <pybind11/pybind11.h>
#include <sstream>
using cpp_int = boost::multiprecision::cpp_int;
namespace py = pybind11;
namespace pybind11
{
namespace detail
{
template <>
struct type_caster<cpp_int> {
/**
* This macro establishes the name 'cpp_int' in
* function signatures and declares a local variable
* 'value' of type cpp_int
*/
PYBIND11_TYPE_CASTER(cpp_int, _("cpp_int"));
/**
* Conversion part 1 (Python->C++): convert a PyObject into a cpp_int
* instance or return false upon failure. The second argument
* indicates whether implicit conversions should be applied.
*/
bool load(handle src, bool)
{
// Convert into base 16 string (PyNumber_ToBase prepend '0x')
PyObject* tmp = PyNumber_ToBase(src.ptr(), 16);
if (!tmp) return false;
std::string s = py::cast<std::string>(tmp);
value = cpp_int{s}; // explicit cast from string to cpp_int,
// don't need a base here because
// `PyNumber_ToBase` already prepended '0x'
Py_DECREF(tmp);
/* Ensure return code was OK (to avoid out-of-range errors etc) */
return !PyErr_Occurred();
}
/**
* Conversion part 2 (C++ -> Python): convert an cpp_int instance into
* a Python object. The second and third arguments are used to
* indicate the return value policy and parent object (for
* ``return_value_policy::reference_internal``) and are generally
* ignored by implicit casters.
*/
static handle cast(const cpp_int& src, return_value_policy, handle)
{
// Convert cpp_int to base 16 string
std::ostringstream oss;
oss << std::hex << src;
return PyLong_FromString(oss.str().c_str(), nullptr, 16);
}
};
} // namespace detail
} // namespace pybind11
py::int_ fact(int i)
{
cpp_int prod = 1;
while (i-- > 1) prod *= i + 1;
return py::cast(prod);
}
PYBIND11_MODULE(python_example, m)
{
m.def("fact", &fact, R"pbdoc(
Returns the factorial of a number.
)pbdoc");
}
可能不是最快的方法,因为它先将cpp_int
转换为基数为16的临时字符串,然后将该字符串转换为Python整数。