BUG: Operations not implemented for non-1D ExtensionArrays

[Nadav-Zilberberg]

Reproducible Example

mypy: ignore-errors

import pandas as pd
import numpy as np
import pandas._testing as tm

df = pd.DataFrame(np.arange(50).reshape(10, 5)).notna().values

-> works

NP_array = pd.array([i for i in range(10)], dtype=tm.SIGNED_INT_NUMPY_DTYPES[0]).reshape(10,1) #dtype: NumpyExtensionArray

-> doesnt work (NotImplemented)

EA_array = pd.array([i for i in range(10)], dtype=tm.SIGNED_INT_EA_DTYPES[0]).reshape(10,1) #dtype: IntExtensionArray

print(df * NP_array)

NotImplementedError: can only perform ops with 1-d structures

print(df * EA_array)
Issue Description
I was working on creating test cases for ExtensionArrays following comments on PR pandas-dev#61828 when I realized that I could not use the '&' operation on EAs like I could with NP arrays.

After a bit of digging around, it appears they both call self._logical_method, but whereas NP returns NotImplemented and continues operation, EA raises an error.

If someone wants to take a look while I work on something else, they are more than welcome to, otherwise I can work out a fix when I come back to it.

I have found that to be the case for both '*' and '&' so it's probably something deeper there

Expected Behavior
Operators should function the same for both Numpy arrays and other ExtensionArrays

[Nadav-Zilberberg]

I have modified the _logical_method in BooleanArray to return NotImplemented when operating on non-1D arrays. This should allow the operation to proceed with the NumPy array implementation, providing consistent behavior. Due to environment issues, I was unable to add a test case or run the test suite to fully verify the fix. The changes are now ready for review.