# cachecore A low-level caching library with multiple implementations.

Can be used as a stand-alone cacheing library or can be used to create higher level caching libraries.

## Basics Get, set, delete, and check for the existence of a key using the following.

` >>> import cachecore >>> cache = cachecore.LocalCache() >>> cache.set('a', 1) >>> cache.get('a') 1 >>> cache.exists('a') True >>> cache.delete('a') True >>> cache.exists('a') False >>> cache.get('a') None`

## Complete API ` __getitem__(self, key: str) -> Any: __setitem__(self, key: str, value: Any): __delitem__(self, key: str): __contains__(self, key: str): __iter__(self): __len__(self): keys(self, pattern: str = None): get(self, key: str, default: Any = None) -> Any: set(self, key: str, value: Any, ttl: Optional[int] = None): add(self, key: str, value: Any, ttl: Optional[int] = None) -> bool: replace(self, key: str, value: Any, ttl: Optional[int] = KEEP_TTL) -> bool: delete(self, key: str) -> bool: pop(self, key: str, default: Any = None): exists(self, key: str) -> bool: get_many(self, keys: Iterable[str], default: Any = None) -> Iterable[Any]: set_many(self, mapping: Iterable[tuple[str, Any]], ttl: Optional[int] = None): delete_many(self, keys: Iterable[str]) -> Iterable[bool]: get_ttl(self, key: str, default: int = 0) -> Optional[int]: set_ttl(self, key: str, ttl: Optional[int] = None) -> bool: incr(self, key, delta=1) -> int: decr(self, key, delta=1) -> int: clear(self):`

## Cache Implementations - Redis - Memcached - File System - Local Memory - Dummy