Numpy Zeros Like
From Dontopedia, the open, paraconsistent wiki. (Last updated 2026-06-09.)
Numpy Zeros Like has 5 facts recorded in Dontopedia across 2 references, with 1 live disagreement.
Mostly:rdf:type(2), function name(1), has argument(1)
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raw canonical shape-checked rule-derived certifiedInbound mentions (4)
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assignedValueAssigned Value(1)
- Predicted Labels
ex:predicted-labels
isInitializedAsIs Initialized As(1)
- Result Array
ex:result-array
usesUses(1)
- Normalize Function
ex:normalize-function
usesFunctionUses Function(1)
- Result Array Initialization
ex:result-array-initialization
Other facts (5)
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 | Numpy Function Call | [1] |
| Rdf:type | Numpy Function | [2] |
| Function Name | zeros_like | [1] |
| Has Argument | Indexes Parameter | [1] |
| Returns Array | true | [2] |
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References (2)
ctx:claims/beam/a5fc8118-22f9-47dc-ab75-3a5765c02306ctx:claims/beam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cb- full textbeam-chunktext/plain1 KB
doc:beam/63a6eef0-ed88-4a3a-b883-6dc3f000d1cbShow excerpt
result = np.zeros_like(indexes) # Map the processes for i, index in enumerate(indexes): # Apply process mapping for component in components: index = index * component # Reduce in…
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