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@cmp0xff cmp0xff commented Aug 1, 2025

Taking @loicdiridollou's idea from #1300 (comment)


check(assert_type(ts1, pd.Series), pd.Series)
check(assert_type(ts2, pd.Series), pd.Series)
check(assert_type(ts1, "pd.Series[int]"), pd.Series, np.int64)
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In general I would recommend using np.integer, np.floating and np.complexfloating in those instances since those types are a little wider and don't rely only on 16/32/64 bits (same in the other places you have modified).
The rest looks good to me.

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one small change

cmp0xff added a commit to cmp0xff/pandas-stubs that referenced this pull request Aug 1, 2025
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Thanks @cmp0xff

@Dr-Irv Dr-Irv merged commit 7fb03d4 into pandas-dev:main Aug 1, 2025
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@cmp0xff cmp0xff deleted the feature/cmp0xff/concat-series-dtype branch August 1, 2025 15:30
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cmp0xff commented Aug 1, 2025

Thanks @loicdiridollou for the idea and @Dr-Irv for the review 😄

Dr-Irv pushed a commit that referenced this pull request Aug 1, 2025
* feat(series): #1098 arithmetic truediv * fix(typing): __truediv__ * fix(typing): truediv * fix(typing): __rtruediv__ and rtruediv * fix(typing): div and rdiv * fix(comment): ordering #1280 (review) * fix(comment): #1302 (comment) * fix(typing): truediv path * fix(comment): ordering #1280 (review)
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