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Rank Documents has 51 facts recorded in Dontopedia across 2 references, with 7 live disagreements.
Mostly:has parameter(8), returns(4), combines(3)
hasParameterusesNumpyFunctionparameterOrderhasReturnTypperformsrdfs:labelrdf:typeerrorMessageimplementationStyleassumesWeightsSumToOneOther 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.
callsCalls(1)ex:test_valid_inputdefinesFunctionDefines Function(1)ex:rank-documents-exampleThe 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 |
|---|---|---|
| Top K Selection | 10 | [1] |
| Return Type | Array or None | [1] |
| Score Combination | Linear Weighted Sum | [1] |
| Error Handling | Value Error Catch | [1] |
| Has Default Parameters | 1 | [1] |
| Normalizes | Input Scores | [1] |
| Requires | Same Shape Arrays | [1] |
| Function Purpose | Document Ranking | [1] |
| Returns on Exception | None Value | [1] |
| Catches | Value Error | [1] |
| Encloses | Try Block | [1] |
| Indexes | Last 10 | [1] |
| Uses | Numpy Argsort | [1] |
| Converts | To Float | [1] |
| Has Shape Check | Sparse Dense Dimension Match | [1] |
| Prints | Error Message | [1] |
| Raises | Mismatched Dimensions Error | [1] |
| Handles | Value Error | [1] |
| Selects | Top 10 | [1] |
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.
doc:beam/8099970e-f2d8-437f-874b-e1c72a22eeb0Assuming you have a function `rank_documents` that combines sparse and dense scores, here are some unit tests you can write using the `unittest` framework in Python: ```python import unittest import numpy as np def rank_documents(query, s…
doc:beam/83d95a47-a94a-4fd3-839c-6e97cb013cc4- Look for operations involving array or tensor manipulations, such as concatenation, addition, or multiplication. 2. **Check Array Dimensions:** - Ensure that all arrays or tensors involved in operations have compatible dimensions. …
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