Fix documentation rendering for dpnp.ndarray operator methods and dpnp.histogram2d - #3064
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antonwolfy wants to merge 4 commits into
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Fix documentation rendering for dpnp.ndarray operator methods and dpnp.histogram2d#3064antonwolfy wants to merge 4 commits into
antonwolfy wants to merge 4 commits into
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The operator dunder docstrings wrapped their expressions in a :math:
role with \text{...}. In LaTeX/MathJax math mode this breaks on
special characters: '&' is an alignment char, '^' is superscript, and
'%' starts a comment. As a result __and__, __xor__, __mod__ and their
in-place/reflected variants rendered as errors or truncated text.
Render these Python operator expressions as inline code literals
instead, which is both correct and more appropriate than math markup.
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View rendered docs @ https://intelpython.github.io/dpnp/pull/3064/index.html |
antonwolfy
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September 8, 2026 13:42
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September 8, 2026 13:42
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September 8, 2026 13:45
antonwolfy
marked this pull request as ready for review
September 8, 2026 13:51
Contributor
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Array API standard conformance tests for dpnp=0.21.0dev8=py314ha0e2e8e_5 ran successfully. |
Collaborator
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coverage: 78.491% (-0.003%) from 78.494% — fix-histogram2d-returns-blank-line into master |
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Fixes several documentation rendering issues.
dpnp.ndarrayoperator methods documented their behavior with a:math:role wrapping the expression in\text{...}. In LaTeX/MathJax math mode&,^, and%are special, so__and__,__xor__,__mod__and their variants rendered as error strings or truncated text. These are plain Python operator snippets, so they now render as inline code literals; all operator dunder docstrings were converted for consistency.dpnp.histogram2danddpnp.left_shiftwere missing the blank line before theirReturnssection, so numpydoc did not parse it as a section header.Checklist