百科.dev
全部条目在线工具AI 编程趋势榜开源项目技术资讯提交条目
登录
< 返回工具列表
C

comemo

> 编程语言
开源

通过受限备忘录来实现增量计算。

630 stars0 点赞1 次浏览
访问官网GitHub

工具介绍

通过受限备忘录来实现增量计算。

comemo

Incremental computation through constrained memoization.

toml
[dependencies]
comemo = "0.5"

A memoized function caches its return values so that it only needs to be executed once per set of unique arguments. This makes for a great optimization tool. However, basic memoization is rather limited. For more advanced use cases like incremental compilers, it lacks the necessary granularity. Consider, for example, the case of the simple .calc scripting language. Scripts in this language consist of a sum of numbers and eval statements that reference other .calc scripts. A few examples are:

  • alpha.calc: "2 + eval beta.calc"
  • beta.calc: "2 + 3"
  • gamma.calc: "8 + 3"

We can easily write an interpreter that computes the output of a .calc file:

rust
/// Evaluate a `.calc` script.
fn evaluate(script: &str, files: &Files) -> i32 {
    script
        .split('+')
        .map(str::trim)
        .map(|part| match part.strip_prefix("eval ") {
            Some(path) => evaluate(&files.read(path), files),
            None => part.parse::().unwrap(),
        })
        .sum()
}

impl Files {
    /// Read a file from storage.
    fn read(&self, path: &str) -> String {
        ...
    }
}

But what if we want to make this interpreter incremental, meaning that it only recomputes a script's result if it or any of its dependencies change? Basic memoization won't help us with this because the interpreter needs the whole set of files as input—meaning that a change to any file invalidates all memoized results.

This is where comemo comes into play. It implements constrained memoization with more fine-grained access tracking. To use it, we can just:

  • Add the #[memoize] attribute to the evaluate function.
  • Add the #[track] attribute to the impl block of Files.
  • Wrap the files argument in comemo's Tracked container.

This instructs comemo to memoize the evaluation and to automatically track all file accesses during a memoized call. As a result, we can reuse the result of a .calc script evaluation as long as its dependencies stay the same—even if other files change.

rust
use comemo::{memoize, track, Tracked};

/// Evaluate a `.calc` script.
#[memoize]
fn evaluate(script: &str, files: Tracked) -> i32 {
    ...
}

#[track]
impl Files {
    /// Read a file from storage.
    fn read(&self, path: &str) -> String {
        ...
    }
}

For the full example see examples/calc.rs.

License

This crate is dual-licensed under the MIT and Apache 2.0 licenses.

Issues· 0 开放

查看全部 Issues在 GitHub 打开

暂无开放 Issues,或尚未同步最近议题。

> 标签

Rustconstraintsincrementalmemoizationtracked

暂无评论,来聊聊你的看法吧

> 工具信息

发布日期2026年8月1日
最后更新2026年9月17日
分类编程语言
定价开源

> 相关工具

T
TypeScript
JavaScript 的超集,为前端与全栈提供静态类型
P
Python
通用编程语言,广泛用于 Web、数据与 AI
G
Go
Google 推出的简洁高效系统语言