Type conversion overview Python types
1. 为什么 pybind11 这类中间件是必要的 我们以 UE 官方的PythonScriptPlugin中的代码为例, 如果直接依赖 Python C API, 你实现出来的代码可能是如下这样的: 代码语言:javascript 复制 // NOTE: _T = typing.TypeVar('_T') and Any/Type/Union/Mapping/Optional are defines by the Python typing module.st...
实际上，这些参数将作为Python对象出现，因此应该使用pybind11::object类型。使用void*不是解决方案。Pybind...
实际上，这些参数将作为Python对象出现，因此应该使用pybind11::object类型。使用void*不是解决方案。Pybind...
However, there does not appear to be a way to check the the first condition; type_casters would probably have to declare it, which would require an addition to the type_caster API. Reproducible example code C++ // `std::vector<std::string*> does not work because the string is owned by...
#include <type_traits> NAMESPACE_BEGIN(pybind11) /* A few forward declarations */ class handle; class object; class str; class iterator; struct arg; struct arg_v; NAMESPACE_BEGIN(detail) class args_proxy; inline bool isinstance_generic(handle obj, const std::type_info &tp); // Accessor...
test_type = sys.argv[1] thread_cnt = int(sys.argv[2]) start_time = time.time() for i in range(thread_cnt): if test_type == 'p': t = threading.Thread(target=geo_distance_py, args=(113.973129, 22.599578, 114.3311032, 22.6986848, test_cnt,)) ...
Custom type setup 有点像类的元类的功能;在 pybind11 中,当我们定义一个包含 Python 对象的 C++ 类型时,如果不额外设置,那么该类型实例在 Python 中被垃圾回收时,Python 无法正确追踪并管理其内部的 Python 对象(如 py::object),可能导致内存泄漏或循环引用问题。因此,我们可以使用 py::custom_type_setup 配置...
linkid=830387 "version": "0.2.0", "configurations": [ { "name": "Python", "type": "python", "request": "launch", "program": "myscript.py", "console": "integratedTerminal" }, { "name": "(gdb) Attach", "type": "cppdbg", "request": "attach", "program": "${workspaceFolder...
再根据官网给出的办法Custom Type Casters实现从Python端Wrapper类到C++抽象类和从C++抽象类到Python端Wrapper类的自动转换。这样当C++暴露给Python这个抽象类时,pybind会自动调用转换器将抽象类转换成Wrapper类的Python对象,当Python的Wrapper类传递给C++时,会将Wrapper类变成C++抽象类。