for future in as_completed
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
for future in as_completed has 14 facts recorded in Dontopedia across 3 references, with 3 live disagreements.
Mostly:rdf:type(3), iterates over(2), contains statement(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (6)
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.
causedByCaused by(1)
- Results Collection
ex:results-collection
containsStatementContains Statement(1)
- Main Function
ex:main-function
hasForLoopHas for Loop(1)
- Vectorize Pipeline
ex:vectorize_pipeline
scopesScopes(1)
- Context Manager
ex:context-manager
secondStepSecond Step(1)
- Parallel Execution Flow
ex:parallel-execution-flow
waitedOnByWaited on by(1)
- Completed Futures
ex:completed-futures
Other facts (13)
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 | For Loop | [1] |
| Rdf:type | Loop | [2] |
| Rdf:type | Loop Structure | [3] |
| Iterates Over | As Completed Generator | [1] |
| Iterates Over | Futures Dictionary | [3] |
| Contains Statement | Upload Id Extraction | [1] |
| Contains Statement | Future Result Call | [1] |
| Processes | Completed Futures | [1] |
| Waits for | Completed Futures | [1] |
| Scoped by | Context Manager | [1] |
| Calls Method | Future.result | [2] |
| Processes in | Completion Order | [2] |
| Orders by | Completion Time | [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.
References (3)
ctx:claims/beam/eab18fae-1965-42e3-bcd4-d206f0d1d5cc- full textbeam-chunktext/plain1 KB
doc:beam/eab18fae-1965-42e3-bcd4-d206f0d1d5ccShow excerpt
Here's an example implementation using a thread pool and Kafka: ```python import concurrent.futures import threading from kafka import KafkaProducer # Kafka producer setup producer = KafkaProducer(bootstrap_servers='localhost:9092') def…
ctx:claims/beam/02df5a23-a0cb-4bd5-a427-4196ea4eb80c- full textbeam-chunktext/plain1 KB
doc:beam/02df5a23-a0cb-4bd5-a427-4196ea4eb80cShow excerpt
# Configure logging logging.basicConfig(level=logging.INFO, format='%(asctime)s - %(levelname)s - %(message)s') # Load the model once model = SentenceTransformer('paraphrase-MiniLM-L6-v2') def vectorize_document(doc, retries=3, delay=1): …
ctx:claims/beam/a9675ea7-6b79-409d-b197-5890051a64b0
See also
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