将 Python 代码编译成只调用所需 DLL 的 exe 文件
Compiling Python code into an exe file calling just the required DLLs
关于这个主题的信息似乎很少 - 我已经尝试 py2exe
无济于事(错误 Python 3.5),以及 pyinstaller.
后者似乎包括系统上安装的每个扩展模块,除非它们在构建时被特别排除,即使是小型构建,最终也会达到 50+。我还看到了 pyinst
和 cxFreeze
,您可以在其中指定要包含的包,并将 Python 与它捆绑在一起,但我想要简单和小的。我所做的所有工作最多涉及 NumPy
、SciPy
和 Pandas
。通常,这些都可以减少到只有 NumPy
的函数,以及我在 Cython 中重写的最复杂的函数(使用 memoryviews
)。环顾互联网,我发现 python.exe
是一个 C++ 程序,它只调用 Python.h
并加载 python35.dll
- 这表明一些像这个 C++ 代码示例一样简单的东西将允许一个人访问所有Python 和 NumPy
功能如下:
#include "Python.h"
#include <\numpy\core\include\numpy\ required includes>
int
wmain(int argc, wchar_t **argv)
{
wchar_t *myargs[3] = { argv[0], L"-m", L"myscript.py" };
return Py_Main(3, myargs);
}
示例来自:
https://blogs.msdn.microsoft.com/pythonengineering/2016/04/26/cpython-embeddable-zip-file/
有没有人有好的方法或好的参考来生成一个小的构建,其中只包含你需要的 exe 到 运行?或者可以确认以上内容实际上可以修改吗?非常感谢,我认为这个技能是一个小众学科......
如果能带依赖,可以用boost::python
帮忙
下面有一个完整的示例应用程序,它只链接 boost_python
和 python2.7
共享库。 -O3
构建只有 51K。
导入一个python模块:
您使用 boost::python::exec
执行导入语句,将您的 python 模块导入 boost::python::object
bp::object import(const std::string& module, const std::string& path)
{
bp::object globals = bp::import("__main__").attr("__dict__");
bp::dict locals;
locals["module_name"] = module;
locals["path"] = path;
// execute some python code which imports the file
bp::exec("import imp\n"
"new_module = imp.load_module(module_name, open(path), path, ('bp', 'U', imp.PY_SOURCE))\n",
globals,
locals);
return locals["new_module"];
}
// get an object containing the contents of the file "test.py"
bp::object module = import("test", "test.py");
获取 python 模块中元素的句柄:
// get a handle to something declared inside "test.py"
bp::object Script = module.attr("Script");
实例化一个对象:
// Instantiate a script object
bp::object script = Script();
调用Script
的成员函数:
// calls Script.run(), passing no arguments
script.attr("run")();
您还可以将 C++ 代码公开给 python:
将 C++ class 暴露给您刚刚导入的模块
struct Foo
{
void func();
}
bp::object FooWrapper(
bp::class_<Foo>("Foo")
.def("func", &Foo::func)
);
bp::object foo = FooWrapper(); // instantiate a python wrapped Foo object
bp::object script = Script(foo); // create a Script instance, passing foo
工作示例:
test.py
class Script(object):
def __init__(self, ifc):
print 'created script'
self.ifc = ifc
def run(self):
print 'running'
self.ifc.execute(5)
def result(self, i):
print 'result={}'.format(i)
main.cpp
#include <boost/python.hpp>
namespace bp = boost::python;
bp::object import(const std::string& module, const std::string& path)
{
bp::object globals = bp::import("__main__").attr("__dict__");
bp::dict locals;
locals["module_name"] = module;
locals["path"] = path;
bp::exec("import imp\n"
"new_module = imp.load_module(module_name, open(path), path, ('bp', 'U', imp.PY_SOURCE))\n",
globals,
locals);
return locals["new_module"];
}
///////////////////////////
class Runner
{
public:
void init(bp::object script)
{
// capture methods at creation time so we don't have to look them up every time we call them
_run = script.attr("run");
_result = script.attr("result");
}
void run()
{
_run(); // call the script's run method
}
void execute(int i) // this function is called by the python script
{
_result(i * 2); // call the script's result method
}
bp::object _run;
bp::object _result;
};
int main()
{
Py_Initialize();
// load our python script and extract the Script class
bp::object module = import("test", "test.py");
bp::object Script = module.attr("Script");
// wrap Runner and expose some functions to python
bp::object RunnerWrapper(
bp::class_<Runner>("Runner")
.def("execute", &Runner::execute)
);
// create a python wrapped instance of Runner, which we will pass to the script so it can call back through it
bp::object wrapper = RunnerWrapper();
bp::object script = Script(wrapper);
// extract the runner instance from the python wrapped instance
Runner& runner = bp::extract<Runner&>(wrapper);
// initialise with the script, so we can get handles to the script's methods we require
runner.init(script);
runner.run();
Py_Finalize();
return 0;
CMakeLists.txt
cmake_minimum_required (VERSION 3.2.2)
find_package(Boost COMPONENTS python REQUIRED)
find_package(PythonLibs 2.7 REQUIRED)
add_executable (py_embed main.cpp)
target_link_libraries (py_embed ${Boost_PYTHON_LIBRARY} ${PYTHON_LIBRARIES})
target_include_directories(py_embed SYSTEM PRIVATE ${PYTHON_INCLUDE_DIRS})
可下载的源代码here
关于这个主题的信息似乎很少 - 我已经尝试 py2exe
无济于事(错误 Python 3.5),以及 pyinstaller.
后者似乎包括系统上安装的每个扩展模块,除非它们在构建时被特别排除,即使是小型构建,最终也会达到 50+。我还看到了 pyinst
和 cxFreeze
,您可以在其中指定要包含的包,并将 Python 与它捆绑在一起,但我想要简单和小的。我所做的所有工作最多涉及 NumPy
、SciPy
和 Pandas
。通常,这些都可以减少到只有 NumPy
的函数,以及我在 Cython 中重写的最复杂的函数(使用 memoryviews
)。环顾互联网,我发现 python.exe
是一个 C++ 程序,它只调用 Python.h
并加载 python35.dll
- 这表明一些像这个 C++ 代码示例一样简单的东西将允许一个人访问所有Python 和 NumPy
功能如下:
#include "Python.h"
#include <\numpy\core\include\numpy\ required includes>
int
wmain(int argc, wchar_t **argv)
{
wchar_t *myargs[3] = { argv[0], L"-m", L"myscript.py" };
return Py_Main(3, myargs);
}
示例来自: https://blogs.msdn.microsoft.com/pythonengineering/2016/04/26/cpython-embeddable-zip-file/
有没有人有好的方法或好的参考来生成一个小的构建,其中只包含你需要的 exe 到 运行?或者可以确认以上内容实际上可以修改吗?非常感谢,我认为这个技能是一个小众学科......
如果能带依赖,可以用boost::python
帮忙
下面有一个完整的示例应用程序,它只链接 boost_python
和 python2.7
共享库。 -O3
构建只有 51K。
导入一个python模块:
您使用 boost::python::exec
执行导入语句,将您的 python 模块导入 boost::python::object
bp::object import(const std::string& module, const std::string& path)
{
bp::object globals = bp::import("__main__").attr("__dict__");
bp::dict locals;
locals["module_name"] = module;
locals["path"] = path;
// execute some python code which imports the file
bp::exec("import imp\n"
"new_module = imp.load_module(module_name, open(path), path, ('bp', 'U', imp.PY_SOURCE))\n",
globals,
locals);
return locals["new_module"];
}
// get an object containing the contents of the file "test.py"
bp::object module = import("test", "test.py");
获取 python 模块中元素的句柄:
// get a handle to something declared inside "test.py"
bp::object Script = module.attr("Script");
实例化一个对象:
// Instantiate a script object
bp::object script = Script();
调用Script
的成员函数:
// calls Script.run(), passing no arguments
script.attr("run")();
您还可以将 C++ 代码公开给 python:
将 C++ class 暴露给您刚刚导入的模块struct Foo
{
void func();
}
bp::object FooWrapper(
bp::class_<Foo>("Foo")
.def("func", &Foo::func)
);
bp::object foo = FooWrapper(); // instantiate a python wrapped Foo object
bp::object script = Script(foo); // create a Script instance, passing foo
工作示例:
test.py
class Script(object):
def __init__(self, ifc):
print 'created script'
self.ifc = ifc
def run(self):
print 'running'
self.ifc.execute(5)
def result(self, i):
print 'result={}'.format(i)
main.cpp
#include <boost/python.hpp>
namespace bp = boost::python;
bp::object import(const std::string& module, const std::string& path)
{
bp::object globals = bp::import("__main__").attr("__dict__");
bp::dict locals;
locals["module_name"] = module;
locals["path"] = path;
bp::exec("import imp\n"
"new_module = imp.load_module(module_name, open(path), path, ('bp', 'U', imp.PY_SOURCE))\n",
globals,
locals);
return locals["new_module"];
}
///////////////////////////
class Runner
{
public:
void init(bp::object script)
{
// capture methods at creation time so we don't have to look them up every time we call them
_run = script.attr("run");
_result = script.attr("result");
}
void run()
{
_run(); // call the script's run method
}
void execute(int i) // this function is called by the python script
{
_result(i * 2); // call the script's result method
}
bp::object _run;
bp::object _result;
};
int main()
{
Py_Initialize();
// load our python script and extract the Script class
bp::object module = import("test", "test.py");
bp::object Script = module.attr("Script");
// wrap Runner and expose some functions to python
bp::object RunnerWrapper(
bp::class_<Runner>("Runner")
.def("execute", &Runner::execute)
);
// create a python wrapped instance of Runner, which we will pass to the script so it can call back through it
bp::object wrapper = RunnerWrapper();
bp::object script = Script(wrapper);
// extract the runner instance from the python wrapped instance
Runner& runner = bp::extract<Runner&>(wrapper);
// initialise with the script, so we can get handles to the script's methods we require
runner.init(script);
runner.run();
Py_Finalize();
return 0;
CMakeLists.txt
cmake_minimum_required (VERSION 3.2.2)
find_package(Boost COMPONENTS python REQUIRED)
find_package(PythonLibs 2.7 REQUIRED)
add_executable (py_embed main.cpp)
target_link_libraries (py_embed ${Boost_PYTHON_LIBRARY} ${PYTHON_LIBRARIES})
target_include_directories(py_embed SYSTEM PRIVATE ${PYTHON_INCLUDE_DIRS})
可下载的源代码here