frozen-cub 0.2.10

A set of C and Python implementations of immutable, hashable, and performant frozen objects.

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 default
• keys() - Return list of keys
• values() - Return list of values
• items() - Return list of (key, value) tuples
• __getitem__(key) - Get value, raises KeyError if 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 default
• set(key, value) - Set value (alias for __setitem__)
• pop(key, default=None) - Remove and return value
• clear() - Remove all items
• __getitem__(key) - Get value, raises KeyError if missing
• __setitem__(key, value) - Set value
• __delitem__(key) - Delete key, raises KeyError if 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