re.sub
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-10.)
re.sub has 10 facts recorded in Dontopedia across 4 references, with 2 live disagreements.
Mostly:rdf:type(4), performs(2), has argument(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (13)
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.
usesUses(5)
- Apply Contextual Expansion
ex:apply-contextual-expansion - Apply Keyword Substitution
ex:apply-keyword-substitution - Apply Pattern Matching
ex:apply-pattern-matching - Expand Query
ex:expand-query - Preprocess Text
ex:preprocess_text
regexFunctionRegex Function(3)
- Apply Contextual Expansion
ex:apply-contextual-expansion - Apply Keyword Substitution
ex:apply-keyword-substitution - Apply Pattern Matching
ex:apply-pattern-matching
callsFunctionCalls Function(2)
- Apply Keyword Substitution
ex:apply-keyword-substitution - Apply Pattern Matching
ex:apply-pattern-matching
assignedByAssigned by(1)
- Cleaned Text
ex:cleaned-text
functionCallFunction Call(1)
- Regex Substitution Operation
ex:regex-substitution-operation
usesFunctionUses Function(1)
- Apply Contextual Expansion
ex:apply-contextual-expansion
Other facts (9)
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 |
|---|---|---|
| Rdf:type | Function Call | [1] |
| Rdf:type | Function | [2] |
| Rdf:type | Function | [3] |
| Rdf:type | Python Function | [4] |
| Performs | pattern-matching | [2] |
| Performs | substitution | [2] |
| Has Argument | Regex Pattern | [1] |
| Purpose | Remove Non Word Characters | [1] |
| Module | Re | [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.
References (4)
ctx:claims/beam/f8068905-8522-4e7a-9746-bbad05dbfbde- full textbeam-chunktext/plain1 KB
doc:beam/f8068905-8522-4e7a-9746-bbad05dbfbdeShow excerpt
- Regularly review the codebase to identify and refactor complex or error-prone sections. - Simplify logic and improve readability to reduce the likelihood of bugs. ### Example Implementation Let's go through an example implementati…
ctx:claims/beam/2446c55d-3e7d-4dce-b1a2-10ccc35b4cca- full textbeam-chunktext/plain1 KB
doc:beam/2446c55d-3e7d-4dce-b1a2-10ccc35b4ccaShow excerpt
def expand_query(self, query): for pattern, replacement in self.rules: query = re.sub(pattern, replacement, query) return query # Example usage: rewriter = QueryRewriter() query = "SELECT * FROM table WHERE …
ctx:claims/beam/7b4bf2e3-60c1-4558-933c-d63455859bde- full textbeam-chunktext/plain1 KB
doc:beam/7b4bf2e3-60c1-4558-933c-d63455859bdeShow excerpt
raise QueryParseError(f"Error rewriting query: {query} - {e}") def expand_query(self, query): query = self.sanitize_query(query) query = self.apply_keyword_substitution(query) query = self.apply_patt…
ctx:claims/beam/036ae1eb-180e-42e3-a5ab-3248952024c3- full textbeam-chunktext/plain1 KB
doc:beam/036ae1eb-180e-42e3-a5ab-3248952024c3Show excerpt
By following these strategies, you can ensure that your Elasticsearch cluster remains performant and scalable as the number of records grows. [Turn 9926] User: I'm trying to design a modular architecture for my query preprocessing service,…
See also
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