Frozen Cub
A high-performance library for immutable, hashable data structures in Python. Built with Cython for speed.
Supports Python 3.12, 3.13, and 3.14
Features
- FrozenDict: An immutable dictionary that can be used as a dict key or in sets
- freeze(): Recursively freeze nested data structures (dicts, lists, tuples, sets)
- LRUCache: A fast LRU cache with O(1) operations
- CacheKey: A lightweight hashable key for caching based on two values
Installation
pip install frozen-cub
With uv:
uv add frozen-cub
Quick Start
Freezing Data Structures
from frozen_cub.frozen import freeze, FrozenDict
# Freeze a nested dictionary
data = {
"user": "bear",
"settings": {"theme": "dark", "notifications": True},
"tags": ["python", "cython"],
}
frozen = freeze(data)
# Now it's hashable - use as dict key or in sets
cache = {frozen: "some_result"}
unique_configs = {frozen}
FrozenDict
from frozen_cub.frozen import FrozenDict
# Create directly from items
fd = FrozenDict([("a", 1), ("b", 2)])
# Or from a dict
fd = FrozenDict({"a": 1, "b": 2})
# Access like a regular dict
print(fd["a"]) # 1
print(fd.get("c", "default")) # "default"
print(list(fd.keys())) # ["a", "b"]
# Use as a dict key (it's hashable!)
lookup = {fd: "found it"}
LRU Cache
from frozen_cub.lru_cache import LRUCache
# Create a cache with max 100 items
cache: LRUCache[str, dict] = LRUCache(capacity=100)
# Basic operations
cache["key"] = {"data": "value"}
result = cache.get("key") # Returns {"data": "value"}
result = cache.get("missing", "default") # Returns "default"
# Dict-like interface
"key" in cache # True
del cache["key"]
len(cache) # 0
CacheKey
from frozen_cub.utils import CacheKey
# Create a hashable key from two values
key = CacheKey(int, 42)
# Use as dict key or in sets
cache = {key: "cached_value"}
# For more than two values, use tuples
key = CacheKey("my_cache", (arg1, arg2, arg3))
Cython API
For maximum performance in other Cython code, you can use the inlined C functions directly:
from frozen_cub.frozen cimport inline_freeze, FrozenDict
# inline_freeze is inlined at compile time - zero function call overhead
cdef object frozen = inline_freeze(my_dict)
API Reference
freeze(obj)
Recursively converts mutable objects to immutable equivalents:
| Input Type | Output Type |
|---|---|
dict |
FrozenDict |
list |
tuple |
set |
frozenset |
FrozenDict
An immutable, hashable dictionary.
Methods:
get(key, default=None)- Get value with optional defaultkeys()- Return list of keysvalues()- Return list of valuesitems()- Return list of (key, value) tuples__getitem__(key)- Get value, raisesKeyErrorif missing__contains__(key)- Check if key exists__hash__()- Returns cached hash value__len__()- Return number of items
LRUCache[K, V]
A generic LRU cache with configurable capacity.
Constructor:
LRUCache(capacity=512)- Create cache with max capacity
Methods:
get(key, default=None)- Get value with optional defaultset(key, value)- Set value (alias for__setitem__)pop(key, default=None)- Remove and return valueclear()- Remove all items__getitem__(key)- Get value, raisesKeyErrorif missing__setitem__(key, value)- Set value__delitem__(key)- Delete key, raisesKeyErrorif missing__contains__(key)- Check if key exists__len__()- Return number of items
CacheKey
A lightweight, hashable key for caching based on two values.
Constructor:
CacheKey(value1, value2)- Create a cache key from two hashable values
Methods:
__hash__()- Returns cached hash value__eq__(other)- Compare equality with another CacheKey
1 maintainer
Metadata
1 maintainer
Release files for frozen-cub 0.3.4
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