tuple unpacking
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-11.)
tuple unpacking has 24 facts recorded in Dontopedia across 11 references, with 5 live disagreements.
24 facts·11 predicates·11 sources·5 in dispute
Mostly:rdf:type(8), used in(2), assigns to(2)
Maturity scale
raw canonical shape-checked rule-derived certifiedInbound mentions (1)
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.
unpackingSyntaxUnpacking Syntax(1)
- Command Element
ex:command-element
Other facts (21)
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.
21 facts
| Predicate | Value | Ref |
|---|---|---|
| Rdf:type | Python Feature | [2] |
| Rdf:type | Python Operation | [4] |
| Rdf:type | Python Feature | [5] |
| Rdf:type | Python Syntax | [6] |
| Rdf:type | Multi Assignment | [7] |
| Rdf:type | Python Feature | [8] |
| Rdf:type | Python Feature | [9] |
| Rdf:type | Python Feature | [10] |
| Used in | For Loop | [2] |
| Used in | Loop Variable Assignment | [5] |
| Assigns to | Private Key | [4] |
| Assigns to | Public Key | [4] |
| Unpacks Into | Task Key Variable | [7] |
| Unpacks Into | Desired Status Variable | [7] |
| Unpacks | Option Name and Score | [1] |
| Target Count | 2 | [3] |
| First Target | response | [3] |
| Second Target | response_time | [3] |
| Ignores | First Element | [8] |
| Captures | Second Element | [8] |
| Assigns Multiple | Accuracy and Reformulated Outputs | [11] |
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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unpacksbeam/f785aaf8-c8fc-4628-9503-45b6c5e5c24b
ex:option-name-and-score
—
typebeam/f1c9bcd0-dbfa-4303-8fd2-850ceeb4fdc6
ex:PythonFeature
—
usedInbeam/f1c9bcd0-dbfa-4303-8fd2-850ceeb4fdc6
ex:for-loop
—
targetCountbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
2
—
firstTargetbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
response
—
secondTargetbeam/89a59862-a7a9-4506-9ac7-298e2f20a995
response_time
—
typebeam/42ececf7-e62f-4900-ad9b-3d15c26bee6a
ex:PythonOperation
—
assignsTobeam/42ececf7-e62f-4900-ad9b-3d15c26bee6a
ex:private-key
—
assignsTobeam/42ececf7-e62f-4900-ad9b-3d15c26bee6a
ex:public-key
—
typebeam/ea78b6d2-cfcf-48ae-acfe-fe0cfbd28738
ex:PythonFeature
—
labelbeam/ea78b6d2-cfcf-48ae-acfe-fe0cfbd28738
Multiple variable assignment from iterable
—
usedInbeam/ea78b6d2-cfcf-48ae-acfe-fe0cfbd28738
ex:loop-variable-assignment
—
typebeam/3052a23d-22b1-40de-b501-820954fd4ef7
ex:PythonSyntax
—
labelbeam/3052a23d-22b1-40de-b501-820954fd4ef7
root, dirs, files = os.walk()
—
typebeam/14ff5052-2d44-4e08-8aa9-69aa3c2755cc
ex:MultiAssignment
—
unpacks-intobeam/14ff5052-2d44-4e08-8aa9-69aa3c2755cc
ex:task-key-variable
—
unpacks-intobeam/14ff5052-2d44-4e08-8aa9-69aa3c2755cc
ex:desired-status-variable
—
typebeam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b
ex:PythonFeature
—
ignoresbeam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b
ex:first-element
—
capturesbeam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b
ex:second-element
—
typebeam/10febf5c-d628-487c-8303-e5e39db02272
ex:PythonFeature
—
labelbeam/10febf5c-d628-487c-8303-e5e39db02272
tuple unpacking
—
typebeam/030958ff-4542-4c75-87d6-fc94dc83547f
ex:PythonFeature
—
assignsMultiplebeam/7a6d20d2-0f32-4ba7-b3bb-8b64e897ee99
ex:accuracy-and-reformulated-outputs
References (11)
11 references
ctx:claims/beam/f785aaf8-c8fc-4628-9503-45b6c5e5c24b- full textbeam-chunktext/plain1 KB
doc:beam/f785aaf8-c8fc-4628-9503-45b6c5e5c24bShow excerpt
score = int(input(f"Enter the score for {factor} (1-10): ")) option_scores[factor] = score options[option_name] = option_scores # Calculate weighted scores weighted_scores = {} for o…
ctx:claims/beam/f1c9bcd0-dbfa-4303-8fd2-850ceeb4fdc6ctx:claims/beam/89a59862-a7a9-4506-9ac7-298e2f20a995ctx:claims/beam/42ececf7-e62f-4900-ad9b-3d15c26bee6a- full textbeam-chunktext/plain1 KB
doc:beam/42ececf7-e62f-4900-ad9b-3d15c26bee6aShow excerpt
Here is a Python script to generate RSA-2048 keys: ```python from cryptography.hazmat.primitives.asymmetric import rsa from cryptography.hazmat.primitives import serialization from cryptography.hazmat.backends import default_backend def g…
ctx:claims/beam/ea78b6d2-cfcf-48ae-acfe-fe0cfbd28738- full textbeam-chunktext/plain1 KB
doc:beam/ea78b6d2-cfcf-48ae-acfe-fe0cfbd28738Show excerpt
"metadata_storage_service": { "description": "Stores the validated metadata.", "dependencies": ["metadata_validation_service"], "technologies": ["PostgreSQL", "MongoDB"] }, "event_…
ctx:claims/beam/3052a23d-22b1-40de-b501-820954fd4ef7ctx:claims/beam/14ff5052-2d44-4e08-8aa9-69aa3c2755ccctx:claims/beam/f3d5dce4-0492-435e-9a07-8eec7bd68f9b- full textbeam-chunktext/plain1 KB
doc:beam/f3d5dce4-0492-435e-9a07-8eec7bd68f9bShow excerpt
print(f"Processing dense query: {query_vector}") _, I = self.index.search(query_vector, k=10) return [f"dense_result_{i}" for i in I[0]] # Initialize FAISS index d = 128 # dimension n = 8000 # number of vectors np…
ctx:claims/beam/10febf5c-d628-487c-8303-e5e39db02272ctx:claims/beam/030958ff-4542-4c75-87d6-fc94dc83547fctx:claims/beam/7a6d20d2-0f32-4ba7-b3bb-8b64e897ee99- full textbeam-chunktext/plain1 KB
doc:beam/7a6d20d2-0f32-4ba7-b3bb-8b64e897ee99Show excerpt
logging.error(f'Error in PostProcessor for text "{text}": {e}') return text # Define the evaluation function def evaluate_reformulation(stages, inputs, outputs): # Apply the reformulation stages to the inputs …
See also
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