Is a "Frozen Dict" Possible in Python?
The concept of a "frozen dict" has been a topic of discussion within the Python community. While Python doesn't provide a built-in frozendict, several solutions have emerged to address the need for an immutable, hashable dictionary.
One common reason for wanting a frozen dict is to memoize function calls with unknown arguments. A typical approach involves converting the arguments into a tuple using tuple(sorted(kwargs.items())), relying on sorting stability for hash table lookup.
For a more comprehensive approach, consider the following FrozenDict class:
<code class="python">import collections class FrozenDict(collections.Mapping): ...</code>
This class provides methods for iteration, length determination, item retrieval, and hash calculation, ensuring it behaves like a standard dictionary and supports hashing.
In practice, the FrozenDict operates efficiently:
<code class="python">x = FrozenDict(a=1, b=2) y = FrozenDict(a=1, b=2) print(x is y, x == y, x == {'a': 1, 'b': 2}) d = {x: 'foo'} print(d[y]) # 'foo'</code>
By providing a custom implementation, the FrozenDict allows for immutable, hashable dictionaries in Python, extending the possibilities for object handling and memory optimization.
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