步骤1: 熟悉Rust和Python语言 在开始之前,你需要对Rust和Python这两种语言有一定的了解。如果你还不熟悉其中一种语言,建议先学习一下。 步骤2: 编写Rust代码 首先,你需要编写一段Rust代码作为Cpython模块的实现。下面是一个简单的示例: // src/lib.rsusecpython::{Python,PyResult,py_module_initializer};fngree...
Requires Rust 1.41.1 or later. Usage To usecpython, add this to yourCargo.toml: [dependencies]cpython="0.7" Example program displaying the value ofsys.version: usecpython::{Python,PyDict,PyResult};fnmain(){letgil =Python::acquire_gil();hello(gil.python()).unwrap();}fnhello(py:Python...
文档地址:https://github.com/xiaoniaoyouhuajiang/ClassNotebook/blob/main/%E7%BC%96%E8%AF%91%E5%8E%9F%E7%90%86/rust%E5%AD%A6%E4%B9%A0.md 项目地址: https://github.com/benfred/py-spy?tab=readme-ov-file底层软件 性能 Python Rust ...
I'm using Python 3.6.6 in pyenv. OS: Arch Linux I have a simple Rust program that should be equivalent to: import gym env = gym.make("CartPole-v0") Rust code: fn main() { let gil = cpython::Python::acquire_gil(); let py = gil.python(); l...
uv用Rust编写的极速Python包! | 速度与效率:超越pip的闪电速度uv的最大亮点在于其惊人的速度。根据官方提供的基准测试结果,uv的安装速度比pip快10到100倍。这得益于Rust语言的高性能以及uv巧妙的架构设计。uv采用全局缓存机制,对已下载的包进行重复数据删除,显著减少了磁盘空间占用和下载时间。其高效的依赖解析算法和...
垃圾回收受实现的启发。 该库提供类型Cc<T> 。 它提供了共享引用计数指针,类似于stdlib Rc<T> 。与Rc不同,可以收集Cc参考周期。 如果仅通过引用计数就可以释放所有值,则此库使用的收集器不会占用额外的内存。 这与某些其他实现不同,其他实现需要手动收集以释放收集器使用的额外内存。 例子 use gcmodule :: {...
Garbage collection inspired by CPython's implementation. This library provides a type Cc<T>. It provides shared reference-counting pointer, similar to stdlib Rc<T>. Unlike Rc, reference cycles in Cc can be collected. If all values can be freed by just reference-counting, the collector used ...
FastUUID is a library which provides CPython bindings to Rust's UUID library. The provided API is exactly as Python's builtin UUID class. It is supported on Python 3.7, 3.8, 3.9, 3.10, 3.11, 3.12, & 3.13. Why? It is much faster than Python's pure-python implementation and it is ...
FastUUID is a library which provides CPython bindings to Rust's UUID library. The provided API is exactly as Python's builtin UUID class. It is supported on Python 3.8, 3.9, 3.10, 3.11, 3.12, & 3.13. Why? It is much faster than Python's pure-python implementation and it is stricter...