Dontopedia

functools.wraps

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

functools.wraps has 6 facts recorded in Dontopedia across 3 references, with 2 live disagreements.

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

Inbound mentions (3)

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(1)

mentionsMentions(1)

usesUses(1)

Other facts (5)

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.

5 facts
PredicateValueRef
Rdf:typePython Decorator Utility[1]
Rdf:typePython Import[2]
Rdf:typePython Function[3]
Purposepreserve-function-metadata[1]
PurposePreserve Function Metadata[3]

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/af049a66-3e39-4e1f-b4dd-21a9e0e99590
ex:PythonDecoratorUtility
purposebeam/af049a66-3e39-4e1f-b4dd-21a9e0e99590
preserve-function-metadata
typebeam/bdc23345-c60f-48dd-87b1-8e4a7aba659d
ex:PythonImport
labelbeam/bdc23345-c60f-48dd-87b1-8e4a7aba659d
functools.wraps
typebeam/6440a884-cc86-478e-8afc-9546ab79db82
ex:PythonFunction
purposebeam/6440a884-cc86-478e-8afc-9546ab79db82
ex:preserve-function-metadata

References (3)

3 references
  1. ctx:claims/beam/af049a66-3e39-4e1f-b4dd-21a9e0e99590
    • full textbeam-chunk
      text/plain1 KBdoc:beam/af049a66-3e39-4e1f-b4dd-21a9e0e99590
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      def require_jwt(view_func): @wraps(view_func) def decorated_function(*args, **kwargs): token = request.headers.get('Authorization') if not token or not validate_jwt_token(token.split(' ')[1]): return json
  2. ctx:claims/beam/bdc23345-c60f-48dd-87b1-8e4a7aba659d
    • full textbeam-chunk
      text/plain1 KBdoc:beam/bdc23345-c60f-48dd-87b1-8e4a7aba659d
      Show excerpt
      - Use secure headers and configurations. ### Example Implementation Here's an example implementation using Flask in Python: ```python from flask import Flask, request, jsonify from functools import wraps import jwt import time from we
  3. ctx:claims/beam/6440a884-cc86-478e-8afc-9546ab79db82
    • full textbeam-chunk
      text/plain1 KBdoc:beam/6440a884-cc86-478e-8afc-9546ab79db82
      Show excerpt
      [Turn 10453] Assistant: Certainly! Using Redis for caching can significantly reduce the latency of your query reformulation by storing frequently accessed queries and their reformulated versions. Here's a detailed example of how to configur

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