task: add broadcast class implementation - #2901
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jharlow-intel
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May 6, 2026 19:53
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View rendered docs @ https://intelpython.github.io/dpnp/index.html |
antonwolfy
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May 6, 2026
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Array API standard conformance tests for dpnp=0.21.0dev5=py314ha0e2e8e_14 ran successfully. |
ndgrigorian
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May 26, 2026
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May 26, 2026
jharlow-intel
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August 7, 2026 14:21
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coverage: 78.477% (+0.02%) from 78.458% — task/SAT-7028 into master |
antonwolfy
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Aug 11, 2026
Add an Attributes section to the dpnp.broadcast class docstring so the attributes (shape, size, ndim, numiter, values) render on the class page the way numpy/cupy present them, and drop the now-redundant per-attribute autosummary entries from the reference. Also document broadcast_arrays' variadic parameter as *args for consistency with broadcast/broadcast_shapes.
Use a dedicated autosummary template for the broadcast class that keeps the Attributes rubric visible (instead of the default template which hides member tables), so shape/size/ndim/numiter/values render under an "Attributes" heading like numpy/cupy, rather than the "Variables" label produced by a napoleon Attributes docstring section. Also add "numiter" to the docs spell-check word list.
Prefix the autosummary entries with ~ so the Attributes table lists the attributes by their short names (shape, size, ndim, numiter, values) instead of the fully qualified broadcast.<name> form.
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Hope it will be rendered properly now.
Thank you @jharlow-intel for the main implementation.
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Adds a `broadcast` class implementation 7a52728
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Adds a
broadcastclass implementation