Here are a few question-style titles based on your provided article: Direct and Focused: * Frozen Dicts in Python: A Feasible Concept? * Can Python Dictionaries Be Truly Immutable? * Is There a \&qu

Patricia Arquette
Release: 2024-10-27 09:53:03
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Here are a few question-style titles based on your provided article:

Direct and Focused:

* Frozen Dicts in Python: A Feasible Concept?
* Can Python Dictionaries Be Truly Immutable?
* Is There a

Are Frozen Dicts Possible?

Python offers immutable collections like frozen sets and tuples. Could there exist a similar concept for dictionaries known as a "frozen dict"?

The primary motivation for creating such a data structure lies in its utility for memoizing functions with dynamic arguments. Typically, the hashable equivalent of a dict is stored as a sorted tuple containing the key-value pairs of the input dict. However, Python does not guarantee a specific sorting order, potentially causing discrepancies.

A custom wrapper can be implemented to mimic the behavior of a frozen dict, adhering to Python's mapping protocol. Here's an example:

<code class="python">import collections

class FrozenDict(collections.Mapping):
    def __init__(self, *args, **kwargs):
        self._d = dict(*args, **kwargs)
        self._hash = None

    # Implement methods inherited from collections.Mapping
    # ...

    def __hash__(self):
        # Calculate the hash on demand to optimize performance
        if self._hash is None:
            h = 0
            for pair in self.items():
                h ^= hash(pair)
            self._hash = h
        return self._hash</code>
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This custom data structure behaves similarly to a standard dictionary, allowing access to keys, values, and iteration. It also supports checks for membership and equality, and it functions properly as a key in other dictionaries.

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