endorphin

KO | EN

gitlite — search

#javascript #python #hacktoberfest #react #ai #typescript #llm #go #golang #android #machine-learning #rust #deep-learning #linux

(★ 22)

Key-Value based in-memory cache library which supports Custom Expiration Policies

endorphin 최신버젼 다운로드

최종 버전 다운로드 (.zip)

// repository documentation

Was this content helpful?

★ 0 (0 ratings)

# Endorphin
Key-Value based in-memory cache library which supports **Custom Expiration Policies** with standard HashMap, HashSet interface.

## Example
```rust
use std::thread::sleep;
use std::time::Duration;

use endorphin::policy::TTLPolicy;
use endorphin::HashMap;

fn main() {
    let mut cache = HashMap::new(TTLPolicy::new());

cache.insert("Still", "Alive", Duration::from_secs(3));
    cache.insert("Gonna", "Die", Duration::from_secs(1));

sleep(Duration::from_secs(1));

assert_eq!(cache.get(&"Still"), Some(&"Alive"));
    assert_eq!(cache.get(&"Gonna"), None);
}

```

`HashSet` works the same way, with the expiration info riding along on `insert`.
```rust
use std::thread::sleep;
use std::time::Duration;

use endorphin::policy::TTLPolicy;
use endorphin::HashSet;

fn main() {
    let mut cache = HashSet::new(TTLPolicy::new());

cache.insert("Still", Duration::from_secs(3));
    cache.insert("Gonna", Duration::from_secs(1));

sleep(Duration::from_secs(1));

assert!(cache.contains(&"Still"));
    assert!(!cache.contains(&"Gonna"));
}
```

Currently, we are providing four pre-defined policies.

- `LazyFixedTTLPolicy` uses **Lazy Expiration** as other cache crates do, it expires items when you access entry after its TTL.
 - `TTLPolicy` uses **Active Expiration** which expires even you don't access to expired entries.
 - `TTIPolicy` uses **Active Expiration** which expires even you don't access to expired entries.
 - `MixedPolicy` is mixed policy of TTL and TTI

endorphin

endorphin 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

endorphin

endorphin 최신버젼 다운로드

오늘의 추천 프로젝트

Was this content helpful?

Recent Feedback

Download README