return results
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
return results has 11 facts recorded in Dontopedia across 7 references, with 1 live disagreement.
11 facts·4 predicates·7 sources·1 in dispute
Mostly:rdf:type(6), returns(2), belongs to many(1)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (11)
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.
precedesPrecedes(2)
- Collect Results
ex:collect-results - Search Vectors
ex:search-vectors
codeFlowCode Flow(1)
- Query Reformulation System
ex:query-reformulation-system
containsStepContains Step(1)
- Code Sequence
ex:code-sequence
executesInOrderExecutes in Order(1)
- Search Vectors Function
ex:search-vectors-function
ex:returnStatementEx:return Statement(1)
- Evaluation Function
ex:evaluation-function
hasReturnStatementHas Return Statement(1)
- Process Text Pipeline Function
ex:process-text-pipeline-function
hasStepHas Step(1)
- Measurement Process
ex:measurement-process
isPreconditionForIs Precondition for(1)
- Search Vectors Function
ex:search-vectors-function
performsSequencePerforms Sequence(1)
- Route Handler
ex:route-handler
sequenceSequence(1)
- Wrapper Function
ex:wrapper-function
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
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Return Statement | [1] |
| Rdf:type | Return Statement | [2] |
| Rdf:type | Operation | [3] |
| Rdf:type | Code Step | [5] |
| Rdf:type | Return Statement | [6] |
| Rdf:type | Return Statement | [7] |
| Returns | Results | [4] |
| Returns | Results | [6] |
| Belongs to Many | Process Batch | [2] |
| Returns Value | results | [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.
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typebeam/46073acc-6b04-4701-bd7b-e0db2b09431d
ex:ReturnStatement
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typebeam/d477eb96-b50c-45ea-ad52-922235fbbd94
ex:ReturnStatement
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belongsToManybeam/d477eb96-b50c-45ea-ad52-922235fbbd94
ex:process_batch
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typebeam/6c0b7886-5065-4d6a-81c8-fd4379fe3873
ex:Operation
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labelbeam/6c0b7886-5065-4d6a-81c8-fd4379fe3873
return results
—
returnsbeam/b624587f-60aa-4d25-9f78-1d53e134cc04
ex:results
—
typebeam/e04a4b2e-6d4e-4699-906f-bce5c90f6218
ex:CodeStep
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typebeam/3b67b6e4-dcd4-4ef5-84ce-e1afeda55afd
ex:ReturnStatement
—
returnsbeam/3b67b6e4-dcd4-4ef5-84ce-e1afeda55afd
ex:results
—
typebeam/80fec442-58d4-4a91-973a-5fde191c5879
ex:ReturnStatement
—
returnsValuebeam/80fec442-58d4-4a91-973a-5fde191c5879
results
References (7)
7 references
ctx:claims/beam/46073acc-6b04-4701-bd7b-e0db2b09431d- full textbeam-chunktext/plain1 KB
doc:beam/46073acc-6b04-4701-bd7b-e0db2b09431dShow excerpt
# Search the vectors using a vector search algorithm results = search_algorithm(query) # Log memory usage after the search mem_after = psutil.virtual_memory().used logging.debug(f"Memory usage after …
ctx:claims/beam/d477eb96-b50c-45ea-ad52-922235fbbd94- full textbeam-chunktext/plain1 KB
doc:beam/d477eb96-b50c-45ea-ad52-922235fbbd94Show excerpt
except OSError as e: logging.error(f"Failed to load SpaCy model: {e}") raise # Define a class to handle language tokenization class LanguageTokenizer: def __init__(self): self.nlp = nlp @lru_cache(maxsize=1000) …
ctx:claims/beam/6c0b7886-5065-4d6a-81c8-fd4379fe3873- full textbeam-chunktext/plain1 KB
doc:beam/6c0b7886-5065-4d6a-81c8-fd4379fe3873Show excerpt
6. **Define API Endpoint**: - Define the `/api/v1/tokenize-language` endpoint to handle POST requests. - Place `pdb.set_trace()` at the beginning of the route handler to start debugging. - Retrieve the input text from the request J…
ctx:claims/beam/b624587f-60aa-4d25-9f78-1d53e134cc04ctx:claims/beam/e04a4b2e-6d4e-4699-906f-bce5c90f6218- full textbeam-chunktext/plain1 KB
doc:beam/e04a4b2e-6d4e-4699-906f-bce5c90f6218Show excerpt
for future in as_completed(futures): results.extend(future.result()) return results # Example usage: queries = ["What is the capital of France?", "Who is the president of the United States?", ...] reformulated_q…
ctx:claims/beam/3b67b6e4-dcd4-4ef5-84ce-e1afeda55afd- full textbeam-chunktext/plain1 KB
doc:beam/3b67b6e4-dcd4-4ef5-84ce-e1afeda55afdShow excerpt
results = [] for future in as_completed(futures): results.extend(future.result()) return results class ReformulationService: def __init__(self): self.pipeline = ReformulationP…
ctx:claims/beam/80fec442-58d4-4a91-973a-5fde191c5879- full textbeam-chunktext/plain1 KB
doc:beam/80fec442-58d4-4a91-973a-5fde191c5879Show excerpt
logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') # Load spaCy model nlp = spacy.load('en_core_web_sm') def tokenize_text(text): try: doc = nlp(text) tokens = [token.text for t…
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