API: disallow div/floordiv/pow operators for BooleanArray ?
Currently, for the plain `bool` dtype we explicitly check for some operations and raise an error, while those actually work in numpy. For example:

```python
>>> arr = np.array([True, False, True])
>>> arr / True
array([1., 0., 1.])

>>> pd.Series(arr) / True
...
NotImplementedError: operator '/' not implemented for bool dtypes
```

This is done for the division and power operations (`not_allowed={"/", "//", "**"}`):

https://github.com/pandas-dev/pandas/blob/934cad6ab61b867c6ae54941c5cd87340d44b80a/pandas/core/computation/expressions.py#L215-L218

For the nullable BooleanArray, for now we simply relied on the operations as defined by the underlying numpy bool array:

```python
>>> pd.array(arr) / True
<FloatingArray>
[1.0, 0.0, 1.0]
Length: 3, dtype: Float64
```

That's for the `BooleanArray`, but the check is currently done on the "array_op" level (but because it is done within expressions.py, we don't run that check for EAs, xref https://github.com/pandas-dev/pandas/pull/41161).

So questions:

- Do we actually want to continue disallowing this operation, while numpy allows it? (also, eg `pd.Series(arr) / 1` does work, it's only disallowed if both operands are boolean)
- If we keep disallowing it, we should probably also disallow it on the `BooleanArray` level, and not only check it on the DataFrame/Series ops level in `array_ops.py` ?
