When implementing data structures such as tries, trees, or graphs, ensure all critical operations (insertion, deletion, traversal) are fully implemented with proper cleanup logic. Incomplete implementations can lead to memory leaks, stale data, and incorrect application behavior.
When implementing data structures such as tries, trees, or graphs, ensure all critical operations (insertion, deletion, traversal) are fully implemented with proper cleanup logic. Incomplete implementations can lead to memory leaks, stale data, and incorrect application behavior.
For example, in a trie implementation, the remove operation should:
function remove(value: Value) {
const key = getKey(value)
if (!key) return
let current = root
const parts = key.split('/')
const path: Node[] = [current]
// Traverse the trie to find the node
for (const part of parts) {
if (!current.children[part]) {
return // Node doesn't exist
}
current = current.children[part]
path.push(current)
}
// Clear the node's value
current.value = undefined
// Clean up empty parent nodes
for (let i = path.length - 1; i > 0; i--) {
const node = path[i]
if (!node.value && Object.keys(node.children).length === 0) {
const parent = path[i - 1]
const nodeName = parts[i - 1]
delete parent.children[nodeName]
} else {
break // Stop if we find a non-empty node
}
}
// Notify listeners or update UI if needed
markUpdated()
}
When designing data structures, also consider using generics to make them reusable across different value types, increasing their utility throughout your application.
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