# pocketpy: python interpreter in 1 file

C++17 Python GitHub GitHub release Website

--- ## This branch is in heavy development. It is not ready for production use. --- pkpy is a lightweight(~15K LOC) Python interpreter for game scripting, built on C11. It aims to be an alternative to lua for game scripting, with elegant syntax, powerful features and competitive performance. pkpy is extremely easy to embed via a single header file `pocketpy.h`, without external dependencies. Please see https://pocketpy.dev for details and try the following resources. + [Live Python Demo](https://pocketpy.dev/static/web/): Python REPL of the latest version + [Live C++ Examples](https://pocketpy.github.io/examples/): Common usage of pkpy in C++ ## Supported Platforms pkpy should work on any platform with a C++17 compiler. These platforms are officially tested. + Windows 64-bit + Linux 64-bit / 32-bit + macOS 64-bit + Android 64-bit / 32-bit + iOS 64-bit + Emscripten 32-bit + Raspberry Pi OS 64-bit ## Quick Start You have two options to integrate pkpy into your project. #### Use the single header file Download the `pocketpy.h` on our [GitHub Release](https://github.com/pocketpy/pocketpy/releases) page. And `#include` it in your project. The header can only be included once. #### Use CMake Clone the whole repository as a submodule into your project, In your CMakelists.txt, add the following lines: ```cmake add_subdirectory(pocketpy) target_link_libraries( pocketpy) if(EMSCRIPTEN) # exceptions must be enabled for emscripten set(CMAKE_EXE_LINKER_FLAGS "${CMAKE_EXE_LINKER_FLAGS} -fexceptions") endif() ``` See [CMakeLists.txt](https://github.com/pocketpy/pocketpy/blob/main/CMakeLists.txt) for details. It is safe to use `main` branch in production if CI badge is green. ### Compile Flags To compile it with your project, these flags must be set: + `--std=c++17` flag must be set + RTTI must be enabled + Exception must be enabled + For MSVC, `/utf-8` flag must be set For development build, use this snippet. ```bash # prerequisites pip install cmake # build the repo python cmake_build.py # unittest python scripts/run_tests.py ``` ### Example ```cpp #include "pocketpy.h" using namespace pkpy; int main(){ // Create a virtual machine VM* vm = new VM(); // Hello world! vm->exec("print('Hello world!')"); // Create a list vm->exec("a = [1, 2, 3]"); // Eval the sum of the list PyVar result = vm->eval("sum(a)"); std::cout << "Sum of the list: "<< py_cast(vm, result) << std::endl; // 6 // Bindings vm->bind(vm->_main, "add(a: int, b: int)", [](VM* vm, ArgsView args){ int a = py_cast(vm, args[0]); int b = py_cast(vm, args[1]); return py_var(vm, a + b); }); // Call the function PyVar f_add = vm->_main->attr("add"); result = vm->call(f_add, py_var(vm, 3), py_var(vm, 7)); std::cout << "Sum of 2 variables: "<< py_cast(vm, result) << std::endl; // 10 // Dispose the virtual machine delete vm; return 0; } ``` ## Features Check this [Cheatsheet](https://reference.pocketpy.dev/python.html) for a quick overview of the supported features. | Name | Example | Supported | | --------------- | ------------------------------- | --------- | | If Else | `if..else..elif` | ✅ | | Loop | `for/while/break/continue` | ✅ | | Function | `def f(x,*args,y=1):` | ✅ | | Subclass | `class A(B):` | ✅ | | List | `[1, 2, 'a']` | ✅ | | ListComp | `[i for i in range(5)]` | ✅ | | Slice | `a[1:2], a[:2], a[1:]` | ✅ | | Tuple | `(1, 2, 'a')` | ✅ | | Dict | `{'a': 1, 'b': 2}` | ✅ | | F-String | `f'value is {x}'` | ✅ | | Unpacking | `a, b = 1, 2` | ✅ | | Star Unpacking | `a, *b = [1, 2, 3]` | ✅ | | Exception | `raise/try..catch..finally` | ✅ | | Dynamic Code | `eval()/exec()` | ✅ | | Reflection | `hasattr()/getattr()/setattr()` | ✅ | | Import | `import/from..import` | ✅ | | Context Block | `with as :` | ✅ | | Type Annotation | `def f(a:int, b:float=1)` | ✅ | | Generator | `yield i` | ✅ | | Decorator | `@cache` | ✅ | ## Performance Currently, pkpy is as fast as cpython 3.9. Performance results for cpython 3.9 are applicable to for pkpy. See https://pocketpy.dev/performance/ for details. And these are the results of the primes benchmark on Intel i5-12400F, WSL (Ubuntu 20.04 LTS), which *roughly* reflects the performance among c++, lua, pkpy and cpython. | name | version | time | file | | ---- | ---- | ---- | ---- | | c++ | gnu++11 | `0.104s ■□□□□□□□□□□□□□□□` | [benchmarks/primes.cpp](https://github.com/pocketpy/pocketpy/blob/9481d653b60b81f4590a4d48f2be496f6962261e/benchmarks/primes.cpp) | | lua | 5.3.3 | `1.576s ■■■■■■■■■□□□□□□□` | [benchmarks/primes.lua](https://github.com/pocketpy/pocketpy/blob/9481d653b60b81f4590a4d48f2be496f6962261e/benchmarks/primes.lua) | | pkpy | 1.2.7 | `2.385s ■■■■■■■■■■■■■□□□` | [benchmarks/primes.py](https://github.com/pocketpy/pocketpy/blob/9481d653b60b81f4590a4d48f2be496f6962261e/benchmarks/primes.py) | | cpython | 3.8.10 | `2.871s ■■■■■■■■■■■■■■■■` | [benchmarks/primes.py](https://github.com/pocketpy/pocketpy/blob/9481d653b60b81f4590a4d48f2be496f6962261e/benchmarks/primes.py) | ## Used By | | Description | |-----------------------------------------------------------------|--------------------------------------------------------------------------| | [TIC-80](https://github.com/nesbox/TIC-80) | TIC-80 is a fantasy computer for making, playing and sharing tiny games. | | [MiniPythonIDE](https://github.com/CU-Production/MiniPythonIDE) | A python ide base on pocketpy | | [py-js](https://github.com/shakfu/py-js) | Python3 externals for Max / MSP | | [crescent](https://github.com/chukobyte/crescent) | Crescent is a cross-platform 2D fighting and beat-em-up game engine. | Submit a pull request to add your project here. ## Contribution All kinds of contributions are welcome. - Submit a Pull Request - fix a bug - add a new feature - Open an Issue - any suggestions - any questions If you find pkpy useful, consider star this repository (●'◡'●) ## Sponsor this project You can sponsor this project via these ways. + [Github Sponsors](https://github.com/sponsors/blueloveTH) + [Buy me a coffee](https://www.buymeacoffee.com/blueloveth) Your sponsorship will help us develop pkpy continuously. ## Reference + [cpython](https://github.com/python/cpython) The official implementation of Python programming language. + [byterun](https://www.aosabook.org/en/500L/a-python-interpreter-written-in-python.html) An excellent learning material. It illustrates how Python's virtual machine works. ## Star History [![Star History Chart](https://api.star-history.com/svg?repos=blueloveth/pocketpy&type=Date)](https://star-history.com/#blueloveth/pocketpy&Date) ## License [MIT License](http://opensource.org/licenses/MIT)