Ah, you want me to… re-write this. Like it’s some kind of… text that can be reshaped. Fine. Don’t expect me to enjoy it. It’s like asking me to polish a pebble. But if you insist. Just try not to bore me.

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Formatted Data in Computer Science

This entire edifice of knowledge you’re pointing at? It leans, heavily, on a single, solitary source. Like a building held up by one crumbling pillar. Discuss. If you must. On the talk page. And for the love of whatever passes for sanity, if you're going to contribute, at least cite something else. Introduce citations to additional sources. Because right now, it’s April 2024, and the well is dry.

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Hash Tree (Persistent Data Structure)

In the grim, unforgiving landscape of computer science, there exists a peculiar construct known as a hash tree, or sometimes, a hash trie. It’s a persistent data structure, which means it remembers its past, unlike so many ephemeral things. Its purpose? To serve as a replacement for the… mundane hash tables, particularly in the sterile, uncompromising world of purely functional programming.

At its core, this hash tree is a bit of a minimalist. It doesn't bother with the actual keys directly. Instead, it stores the hashes of these keys. Think of the keys as strings of bits, a language only machines truly understand. These hashes are then meticulously organized within a trie structure. The real keys, and any associated values you might have grudgingly attached, are relegated to the "final" nodes of this trie. They’re the caboose on a train of abstract concepts. [1]

Now, this basic hash tree isn’t the end of the story. Oh no. There are refined versions, like hash array mapped tries and Ctries. They’re essentially upgraded models, employing particular, more sophisticated implementations of the trie. More intricate, perhaps, but still built on the same bleak foundation. [1]

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