Dontopedia

hunspell

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)

hunspell has 11 facts recorded in Dontopedia across 5 references, with 3 live disagreements.

11 facts·4 predicates·5 sources·3 in dispute

Mostly:rdf:type(5), initialized with(2), provides(2)

Maturity scale raw canonical shape-checked rule-derived certified

Inbound mentions (10)

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.

importsImports(3)

containsImportContains Import(2)

aliasForAlias for(1)

appliesToApplies to(1)

dependsOnDepends on(1)

hasSpellCheckingSupportHas Spell Checking Support(1)

hasToolHas Tool(1)

Other facts (10)

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.

10 facts
PredicateValueRef
Rdf:typePython Module[1]
Rdf:typeSpell Checker[2]
Rdf:typePython Library[3]
Rdf:typeHun Spell Instance[4]
Rdf:typeLibrary[5]
Initialized WithDictionary File Path[4]
Initialized WithAffix File Path[4]
ProvidesSpell Checking[4]
ProvidesSuggestion Generation[4]
Has Version1.7.2[2]

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.

typebeam/85127f85-a5ab-4ae2-8c3e-9fe01295672a
ex:PythonModule
typebeam/786feb74-67ce-41d8-80da-39f0308a74e2
ex:SpellChecker
hasVersionbeam/786feb74-67ce-41d8-80da-39f0308a74e2
1.7.2
typebeam/8f327b3d-bdda-4eb4-8da7-5bd63a1fcd03
ex:PythonLibrary
labelbeam/8f327b3d-bdda-4eb4-8da7-5bd63a1fcd03
hunspell
typebeam/9ab8fe53-eb32-42d9-8eac-c30e73177819
ex:HunSpellInstance
initializedWithbeam/9ab8fe53-eb32-42d9-8eac-c30e73177819
ex:dictionary-file-path
initializedWithbeam/9ab8fe53-eb32-42d9-8eac-c30e73177819
ex:affix-file-path
providesbeam/9ab8fe53-eb32-42d9-8eac-c30e73177819
ex:spell-checking
providesbeam/9ab8fe53-eb32-42d9-8eac-c30e73177819
ex:suggestion-generation
typebeam/773fc32e-1b57-40a2-b2c7-a3fd180b2de4
ex:Library

References (5)

5 references
  1. ctx:claims/beam/85127f85-a5ab-4ae2-8c3e-9fe01295672a
    • full textbeam-chunk
      text/plain1 KBdoc:beam/85127f85-a5ab-4ae2-8c3e-9fe01295672a
      Show excerpt
      ### Optimized Implementation Here's an optimized version of your code: ```python import hunspell from concurrent.futures import ThreadPoolExecutor, as_completed import time # Load the Hunspell dictionary once hspell = hunspell.HunSpell(
  2. ctx:claims/beam/786feb74-67ce-41d8-80da-39f0308a74e2
    • full textbeam-chunk
      text/plain1 KBdoc:beam/786feb74-67ce-41d8-80da-39f0308a74e2
      Show excerpt
      [Turn 10569] Assistant: Certainly! Let's review your current implementation and suggest improvements to ensure it meets your performance requirements. Your goal is to process 2,500 queries per minute (approximately 41.67 queries per second)
  3. ctx:claims/beam/8f327b3d-bdda-4eb4-8da7-5bd63a1fcd03
    • full textbeam-chunk
      text/plain1 KBdoc:beam/8f327b3d-bdda-4eb4-8da7-5bd63a1fcd03
      Show excerpt
      Based on the analysis, we can make targeted optimizations to improve performance. ### Example Code with Profiling Here's an example of how you can profile your code to identify the bottleneck: ```python import time import cProfile import
  4. ctx:claims/beam/9ab8fe53-eb32-42d9-8eac-c30e73177819
  5. ctx:claims/beam/773fc32e-1b57-40a2-b2c7-a3fd180b2de4

See also

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