Revise bullet point formatting [skip azp] [skip cirrus] [skip actions]

abhishek-iitmadras · Feb 21, 2025 · 67efd66 · 67efd66
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diff --git a/doc/source/reference/arrays.promotion.rst b/doc/source/reference/arrays.promotion.rst
@@ -236,7 +236,9 @@ such as byte-order, metadata, string length, or exact structured dtype layout.
 While the string length or field names of a structured dtype are important,
 NumPy considers byte-order, metadata, and the exact layout of a structured
 dtype as storage details.
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 During promotion NumPy does *not* take these storage details into account:
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 * Byte-order is converted to native byte-order.
 * Metadata attached to the dtype may or may not be preserved.
 * Resulting structured dtypes will be packed (but aligned if inputs were).