Return Tokens
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
Return Tokens has 3 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound 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.
containsContains(1)
- Try Block Tokenize
ex:try-block-tokenize
hasReturnStatementHas Return Statement(1)
- Tokenize Text Function
ex:tokenize-text-function
includesStepIncludes Step(1)
- Complete Pipeline
ex:complete-pipeline
Other facts (3)
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 | Return Statement | [1] |
| Rdf:type | Return Statement | [2] |
| Returns Value | tokens | [2] |
Timeline
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References (2)
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/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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