BUG: pd.array with non-nano
- [ ] closes #xxxx (Replace xxxx with the GitHub issue number)
- [x] [Tests added and passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#writing-tests) if fixing a bug or adding a new feature
- [ ] All [code checks passed](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#pre-commit).
- [ ] Added [type annotations](https://pandas.pydata.org/pandas-docs/dev/development/contributing_codebase.html#type-hints) to new arguments/methods/functions.
- [x] Added an entry in the latest `doc/source/whatsnew/vX.X.X.rst` file if fixing a bug or adding a new feature.

Not clear to me what the point of this test is

On Mon, Apr 24, 2023 at 11:30 AM Matthew Roeschke ***@***.***>
wrote:

> ***@***.**** commented on this pull request.
> ------------------------------
>
> In pandas/tests/arrays/test_array.py
> <https://github.com/pandas-dev/pandas/pull/52859#discussion_r1175648010>:
>
> > @@ -404,25 +412,6 @@ def test_array_unboxes(index_or_series):
>      tm.assert_equal(result, expected)
>
>
> ***@***.***
> -def registry_without_decimal():
> -    """Fixture yielding 'registry' with no DecimalDtype entries"""
> -    idx = registry.dtypes.index(DecimalDtype)
> -    registry.dtypes.pop(idx)
> -    yield
> -    registry.dtypes.append(DecimalDtype)
> -
> -
> -def test_array_not_registered(registry_without_decimal):
>
> Shouldn't we still have a related test like this?
>
> —
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 Thanks @jbrockmendel 