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Update README.
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README.md
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README.md
@ -91,39 +91,33 @@ python scripts/run_tests.py
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### Example
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```cpp
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#include "pocketpy.h"
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#include <pybind11/pybind11.h>
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using namespace pkpy;
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namespace py = pybind11;
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int main() {
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// Create a virtual machine
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VM* vm = new VM();
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// Start the interpreter
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py::scoped_interpreter guard{};
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// Hello world!
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vm->exec("print('Hello world!')");
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py::exec("print('Hello world!')");
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// Create a list
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vm->exec("a = [1, 2, 3]");
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py::exec("a = [1, 2, 3]");
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// Eval the sum of the list
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PyVar result = vm->eval("sum(a)");
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std::cout << "Sum of the list: "<< py_cast<int>(vm, result) << std::endl; // 6
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auto result = py::eval("sum(a)");
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std::cout << "Sum of the list: " << result.cast<int>() << std::endl; // 6
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// Bindings
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vm->bind(vm->_main, "add(a: int, b: int)",
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[](VM* vm, ArgsView args){
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int a = py_cast<int>(vm, args[0]);
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int b = py_cast<int>(vm, args[1]);
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return py_var(vm, a + b);
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auto m = py::module_::__main__();
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m.def("add", [](int a, int b) {
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return a + b;
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});
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// Call the function
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PyVar f_add = vm->_main->attr("add");
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result = vm->call(f_add, py_var(vm, 3), py_var(vm, 7));
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std::cout << "Sum of 2 variables: "<< py_cast<int>(vm, result) << std::endl; // 10
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std::cout << "Sum of 2 variables: " << m.attr("add")(1, 2).cast<int>() << std::endl; // 10
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// Dispose the virtual machine
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delete vm;
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return 0;
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}
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```
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@ -166,7 +160,7 @@ See https://pocketpy.dev/performance/ for details.
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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.
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| name | version | time | file |
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| ---- | ---- | ---- | ---- |
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| ------- | ------- | ------------------------- | --------------------------------------------------------------------------------------------------------------------------------- |
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| c++ | gnu++11 | `0.104s ■□□□□□□□□□□□□□□□` | [benchmarks/primes.cpp](https://github.com/pocketpy/pocketpy/blob/9481d653b60b81f4590a4d48f2be496f6962261e/benchmarks/primes.cpp) |
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| lua | 5.3.3 | `1.576s ■■■■■■■■■□□□□□□□` | [benchmarks/primes.lua](https://github.com/pocketpy/pocketpy/blob/9481d653b60b81f4590a4d48f2be496f6962261e/benchmarks/primes.lua) |
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| pkpy | 1.2.7 | `2.385s ■■■■■■■■■■■■■□□□` | [benchmarks/primes.py](https://github.com/pocketpy/pocketpy/blob/9481d653b60b81f4590a4d48f2be496f6962261e/benchmarks/primes.py) |
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@ -175,7 +169,7 @@ And these are the results of the primes benchmark on Intel i5-12400F, WSL (Ubunt
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## Used By
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| | Description |
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|-----------------------------------------------------------------|--------------------------------------------------------------------------|
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| --------------------------------------------------------------- | ------------------------------------------------------------------------ |
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| [TIC-80](https://github.com/nesbox/TIC-80) | TIC-80 is a fantasy computer for making, playing and sharing tiny games. |
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| [MiniPythonIDE](https://github.com/CU-Production/MiniPythonIDE) | A python ide base on pocketpy |
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| [py-js](https://github.com/shakfu/py-js) | Python3 externals for Max / MSP |
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