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Add note on __arrow_array__ and link to gh-48
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protocol/design_requirements.md

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@@ -212,6 +212,11 @@ they are the ones that need such a particular format. So, it can call the
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constructor it needs. For example, `x = np.asarray(df['colname'])` (where
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`df` supports `__dataframe__`).
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A related question is: can `__array__` and/or `__arrow_array__` be used at the
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column level? This is more reasonable, but probably does lead to more
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complexity for very limited gains - for an issue with discussion on that, see
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[dataframe-api/issues/48](https://github.com/data-apis/dataframe-api/issues/48).
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### Does an interface describing memory work for virtual columns?
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