REF: consistent ndarray-wrapping for lists in arithmetic ops

[jbrockmendel]

• closes #xxxx (Replace xxxx with the GitHub issue number)
• Tests added and passed if fixing a bug or adding a new feature
• All code checks passed.
• Added type annotations to new arguments/methods/functions.
• Added an entry in the latest doc/source/whatsnew/vX.X.X.rst file if fixing a bug or adding a new feature.

Discussed in #62423 among others. This ensures we wrap list in np.array at the top of all arithmetic/comparison/logical methods*.

* Not quite accurate. For logical methods on numpy dtypes we deprecated and now disallow dtype-less sequences. So this does the wrapping on EAs, but doesn't revert that deprecation for non-EA cases.

As a result, Series[dt64] - [datetime_obj] no longer raises. Note that it does return object dtype, which is not what the user in #62524 wants.

This also results in a changed dtype for test_add_list_to_masked_array.

Update I'm working on a branch to deprecate wrapping for tuple and non-list is_list_like(other) and not hasattr(other, "dtype")

[jbrockmendel]

The alternative to np.array is sanitize_array (effectively pd.Series(the_list)._values). That would break the Int64 case bc the None would be cast to NaN.