Sorted Options
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-05.)
Sorted Options has 11 facts recorded in Dontopedia across 4 references, with 2 live disagreements.
Mostly:rdf:type(3), derived from(2), contains(1)
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iteratesOverIterates Over(2)
- For Loop
ex:for-loop - Main Function
ex:main-function
declaresVariablesDeclares Variables(1)
- Main Function
ex:main-function
hasVariableHas Variable(1)
- Main Function
ex:main-function
usesVariableUses Variable(1)
- Main Function
ex:main-function
Other facts (11)
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 | Data Structure | [2] |
| Rdf:type | List | [3] |
| Rdf:type | Sorted Collection | [4] |
| Derived From | Weighted Scores | [3] |
| Derived From | Weighted Scores Items | [4] |
| Contains | Tuples | [1] |
| Structure | list-of-tuples | [1] |
| Tuple Structure | (option-name, weighted-score) | [1] |
| Is Produced by | Python Script | [2] |
| Ordering Criteria | Score Descending | [2] |
| Sort Order | descending | [4] |
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References (4)
ctx:claims/beam/4138d5af-2f28-48bd-82f2-ede483c92f8c- full textbeam-chunktext/plain1 KB
doc:beam/4138d5af-2f28-48bd-82f2-ede483c92f8cShow excerpt
:param weights: Dictionary of weights for each factor :return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define …
ctx:claims/beam/fd847186-7170-4b7d-b307-1282777adea7- full textbeam-chunktext/plain1 KB
doc:beam/fd847186-7170-4b7d-b307-1282777adea7Show excerpt
# Print the results print("\nWeighted Scores:") for option_name, score in sorted_options: print(f"{option_name}: {score}") if __name__ == "__main__": main() ``` ### How to Use the Script 1. Run the script. 2. Ente…
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/e3ef8583-5439-4485-8856-6415be355e7a- full textbeam-chunktext/plain1 KB
doc:beam/e3ef8583-5439-4485-8856-6415be355e7aShow excerpt
:return: Weighted score """ weighted_score = sum(option_scores[factor] * weights[factor] for factor in option_scores) return weighted_score def main(): # Define the factors and their weights factors = ['cost', 'scal…
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