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Integer Type

From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-07.)

Integer Type has 3 facts recorded in Dontopedia across 2 references, with 1 live disagreement.

3 facts·2 predicates·2 sources·1 in dispute
Maturity scale raw canonical shape-checked rule-derived certified

Rdf:typein disputerdf:type

  • Data Type[1]all time · 477f8157 Be03 4105 95ec 164b3568dd06
  • Data Type[2]sourceall time · 9f4d3226 C17b 45b8 8fe6 Cf4594441b45

Rdfs:labelrdfs:label

  • integer[1]sourceall time · 477f8157 Be03 4105 95ec 164b3568dd06

Inbound mentions (4)

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.

rdf:typeRdf:type(2)

convertsToConverts to(1)

hasDataTypeHas Data Type(1)

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.

3 undated
—
labelbeam/477f8157-be03-4105-95ec-164b3568dd06
integer
—
typebeam/477f8157-be03-4105-95ec-164b3568dd06
ex:DataType
—
typebeam/9f4d3226-c17b-45b8-8fe6-cf4594441b45
ex:DataType

References (2)

2 references
  1. [1]beam-chunk2 facts
    customctx:claims/beam/477f8157-be03-4105-95ec-164b3568dd06
    • full textbeam-chunk
      text/plain1 KBdoc:beam/477f8157-be03-4105-95ec-164b3568dd06
      Show excerpt
      - `int(os.environ.get('MAX_RETRIES', '5'))`: Converts `MAX_RETRIES` to an integer with a default value of `5`. 2. **Usage in Code**: - Conditional logic based on `NODE_ENV` to differentiate between development and production modes. …
  2. [2]beam-chunk1 fact
    customctx:claims/beam/9f4d3226-c17b-45b8-8fe6-cf4594441b45
    • full textbeam-chunk
      text/plain1 KBdoc:beam/9f4d3226-c17b-45b8-8fe6-cf4594441b45
      Show excerpt
      'mysql': ['BTREE', 'HASH'], 'postgresql': ['BTREE', 'HASH'], 'mongodb': ['BTREE', 'HASH'] } # Define the test data test_data = [ {'id': 1, 'name': 'John Doe'}, {'id': 2, 'name': 'Jane Doe'}, {'id': 3, 'name': 'Bob S…

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