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Bi-Directional Hash Table Implementation with Bidict Class
Bidirectional hash tables provide the ability to index by both keys and values within the same data structure. Python's native dictionary is a valuable data structure for one-way mapping, but it falls short when it comes to bidirectional lookup. This article presents an efficient way to implement a bidirectional hash table in Python.
Implementation Details
The heart of the implementation is the bidict class, which extends Python's standard dictionary. This class maintains two dictionaries: one for standard key-value mapping and another, the inverse dictionary, for value-key mapping.
Key Features
The bidict class offers several notable features:
Usage Example
To demonstrate its functionality, let's create a bidict and manipulate it:
<code class="python">import numpy as np bd = bidict(zip(['a', 'b'], np.random.randint(2, size=2))) print(bd) # {'a': 1, 'b': 0} print(bd.inverse) # {1: ['a'], 0: ['b']}</code>
We can modify the value for key 'a':
<code class="python">bd['a'] = 0 print(bd) # {'b': 0, 'a': 0} print(bd.inverse) # {0: ['b', 'a']}</code>
Note that the inverse dictionary automatically updates to reflect the change. We can also delete items from the dictionary:
<code class="python">del bd['a'] print(bd) # {'b': 0} print(bd.inverse) # {0: ['b']}</code>
Again, the inverse dictionary seamlessly adjusts to the deletion.
In conclusion, the bidict class provides an efficient and convenient implementation of a bidirectional hash table in Python, offering auto-updating inverse directory, support for multiple keys with the same value, and constant-time lookup.
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