Trie
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
Trie has 70 facts recorded in Dontopedia across 7 references, with 5 live disagreements.
Mostly:rdf:type(10), has method(9), has attribute(3)
Maturity scale
raw canonical shape-checked rule-derived certifiedRdf:typein disputerdf:type
- Data Structure[1]all time · 9d952276 6679 4776 8100 Ada830f2805d
- Class[2]all time · Ba5ff348 D7bd 4cdc B203 Eeb8b4268fa2
- Class[3]all time · 74dd2c6d F1bc 4614 826b 7fc78768139c
- Python Class[3]all time · 74dd2c6d F1bc 4614 826b 7fc78768139c
- Python Class Definition[3]all time · 74dd2c6d F1bc 4614 826b 7fc78768139c
- Data Structure[4]all time · F05bdfec F74c 4a81 91da F88d561731be
- Class[5]all time · Aeec430d 7411 49b3 93d9 B07e3c19c4b3
- Data Structure[6]all time · 536e0ef8 307c 4b5b A812 14bd31b728c2
- Class[7]all time · 8faf1001 Fbdb 4d86 Acd9 Cbd56521ea0a
- Data Structure[7]all time · 8faf1001 Fbdb 4d86 Acd9 Cbd56521ea0a
Inbound mentions (16)
Other subjects in dontopedia point AT this entity as a value. These are inverse relationships — e.g. "X motherOf this subject" — and answer questions the forward facts can't. Grouped by predicate.
traversesTraverses(2)
- Trie.insert
ex:Trie.insert - Trie.search
ex:Trie.search
definesDefines(1)
- Python Script
ex:python-script
ex:dependencyEx:dependency(1)
- Spelling Correction
ex:SpellingCorrection
ex:hasParentEx:has Parent(1)
- Trie Node
ex:TrieNode
ex:relationshipToEx:relationship to(1)
- Spelling Correction
ex:SpellingCorrection
ex:typeEx:type(1)
- Trie
ex:trie
ex:usesDataStructureEx:uses Data Structure(1)
- Spelling Correction
ex:SpellingCorrection
isInstanceIs Instance(1)
- Trie Instance
ex:trie-instance
isInstanceofIs Instanceof(1)
- Trie
ex:trie
isNodeInIs Node in(1)
- Trie Node
ex:TrieNode
rdf:typeRdf:type(1)
- Trie Instance
ex:trie-instance
usesUses(1)
- Spelling Correction
ex:SpellingCorrection
usesDataStructureUses Data Structure(1)
- Dictionary Lookup
ex:DictionaryLookup
Other facts (57)
The long tail: predicates that appear too rarely to warrant their own section. Filter or scroll to find a specific one. Each row links to its source.
| Predicate | Value | Ref |
|---|---|---|
| Has Method | Insert | [2] |
| Has Method | Search | [2] |
| Has Method | Insert | [3] |
| Has Method | Trie. Init | [5] |
| Has Method | Trie.insert | [5] |
| Has Method | Trie.search | [5] |
| Has Method | Init | [7] |
| Has Method | Insert | [7] |
| Has Method | Search | [7] |
| Has Attribute | Root | [2] |
| Has Attribute | root | [5] |
| Has Attribute | Root | [7] |
| Used for | Efficient String Search | [4] |
| Used for | Dictionary Lookups | [6] |
| Used for | Faster Lookups | [6] |
| Provides | fast_insertion | [3] |
| Provides | fast_search | [3] |
| Has Component | Trie Node | [5] |
| Has Component | Trie Node | [7] |
| Purpose | spelling_correction | [3] |
| Ex:purpose | Word Storage and Retrieval | [2] |
| Ex:relationship to | Spelling Correction | [2] |
| Ex:used by | Spelling Correction | [2] |
| Ex:constructor Call | Trie() | [2] |
| Ex:has Child | Trie Node | [2] |
| Used by | Spelling Correction | [3] |
| Ex:data Structure | Prefix Tree | [2] |
| Ex:root Node | Trie Node | [2] |
| Ex:method Order | Insert Then Search | [2] |
| Hierarchical Data Structure | true | [5] |
| Tree Structure | true | [5] |
| Prefix Tree | true | [5] |
| Implements | Dictionary Interface | [5] |
| Insertion Time | Startup Phase | [6] |
| Insert Method Parameter | Word | [7] |
| Search Method Parameter | Word | [7] |
| Root Initializes to | Trie Node | [7] |
| Insert Method | Trie Insert | [7] |
| Search Method | Trie Search | [7] |
| Insert Creates Node If Not Exists | Trie Node | [7] |
| Search Returns False When Char Missing | false | [7] |
| Insert Sets End of Word Flag | true | [7] |
| Search Returns End of Word Flag | node.is_end_of_word | [7] |
| Insert Iterates Over Characters | Word | [7] |
| Search Iterates Over Characters | Word | [7] |
| Insert Updates Node Reference | Node | [7] |
| Search Updates Node Reference | Node | [7] |
| Insert Method Ends at | Node.is End of Word = True | [7] |
| Search Method Ends at | Return Node.is End of Word | [7] |
| Data Structure Type | Prefix Tree | [7] |
| Insert Algorithm | Character by Character Traversal | [7] |
| Search Algorithm | Character by Character Traversal | [7] |
| Has Root Node | Root Node | [7] |
| Insert Handles Missing Character | Creates New Node | [7] |
| Search Handles Missing Character | Returns False | [7] |
| Supports Word Insertion | True | [7] |
| Supports Word Search | True | [7] |
Timeline
Timeline axis is valid_time — when each source says the fact was true in the world, not when Dontopedia learned about it. Retracted rows are kept for provenance; coloured stripes indicate the context kind.
References (7)
ctx:claims/beam/9d952276-6679-4776-8100-ada830f2805dctx:claims/beam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2- full textbeam-chunktext/plain1 KB
doc:beam/ba5ff348-d7bd-4cdc-b203-eeb8b4268fa2Show excerpt
self.correction = None class Trie: def __init__(self): self.root = TrieNode() def insert(self, word, correction): node = self.root for char in word: if char not in node.children: …
ctx:claims/beam/74dd2c6d-f1bc-4614-826b-7fc78768139c- full textbeam-chunktext/plain1 KB
doc:beam/74dd2c6d-f1bc-4614-826b-7fc78768139cShow excerpt
correction = self.trie.search(words[i]) if correction: # replace the word with its correction words[i] = correction # join the corrected words back into a query string…
ctx:claims/beam/f05bdfec-f74c-4a81-91da-f88d561731be- full textbeam-chunktext/plain1 KB
doc:beam/f05bdfec-f74c-4a81-91da-f88d561731beShow excerpt
1. **Use Multithreading or Multiprocessing**: - Parallelize the correction process to handle multiple words simultaneously. - This can be particularly effective if you are processing a large number of corrections in parallel. ### 4. …
ctx:claims/beam/aeec430d-7411-49b3-93d9-b07e3c19c4b3- full textbeam-chunktext/plain1 KB
doc:beam/aeec430d-7411-49b3-93d9-b07e3c19c4b3Show excerpt
#### 1. Use a Trie for Dictionary Lookups ```python class TrieNode: def __init__(self): self.children = {} self.is_end_of_word = False class Trie: def __init__(self): self.root = TrieNode() def insert(…
ctx:claims/beam/536e0ef8-307c-4b5b-a812-14bd31b728c2- full textbeam-chunktext/plain1 KB
doc:beam/536e0ef8-307c-4b5b-a812-14bd31b728c2Show excerpt
min_distance = dist closest_word = dict_word return closest_word def spell_correction(input_text, dictionary): words_list = input_text.split() corrected_words = [] for word in words_list: if…
ctx:claims/beam/8faf1001-fbdb-4d86-acd9-cbd56521ea0a- full textbeam-chunktext/plain1 KB
doc:beam/8faf1001-fbdb-4d86-acd9-cbd56521ea0aShow excerpt
from functools import lru_cache from Levenshtein import distance from transformers import BertTokenizer, BertForMaskedLM import torch from concurrent.futures import ThreadPoolExecutor class TrieNode: def __init__(self): self.ch…
See also
- Data Structure
- Class
- Root
- Insert
- Search
- Word Storage and Retrieval
- Python Class
- Spelling Correction
- Trie()
- Trie Node
- Python Class Definition
- Prefix Tree
- Insert Then Search
- Efficient String Search
- Trie. Init
- Trie.insert
- Trie.search
- Dictionary Interface
- Data Structure
- Dictionary Lookups
- Faster Lookups
- Startup Phase
- Init
- Word
- Trie Insert
- Trie Search
- Node
- Node.is End of Word = True
- Return Node.is End of Word
- Prefix Tree
- Character by Character Traversal
- Root Node
- Creates New Node
- Returns False
- True
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