Distinguish lists of arrays from tuples of arrays

[ev-br]

Case in point: np.gradient, which changed from returning a list of arrays to a tuple of arrays in numpy 2.0, cf https://github.com/numpy/numpy/pull/26538

[luxedo]

I'd like to give it a go. Any hints? Should I create a new test file?

Maybe this strict iterable verification will create many errors in the libraries that depend on this

[ev-br]

Would be great @luxedo !

The logic which does not tell a tuple of arrays from a list of arrays is here: https://github.com/scipy/scipy_doctest/blob/main/scipy_doctest/impl.py#L329

Test cases could be added to tests/module_tests.py, see https://github.com/scipy/scipy_doctest/pull/157 for an example.

EDIT: the check can be hidden behind a new variable in DTConfig if it turns out to be too strict/noisy.

[luxedo]

I feel that this is a little more complicated. How strict should the library be with iterables? I got some errors like the following testing SciPy's doctests:

343 
344     Finally, the problem states that both decision variables must be integers:
345 
346     >>> integrality = np.ones_like(c)
347 
348     We solve the problem like:
349 
350     >>> from scipy.optimize import milp
351     >>> res = milp(c=c, constraints=constraints, integrality=integrality)
352     >>> res.x
Expected:
    [2.0, 2.0]
Got:
    array([2., 2.])

[ev-br]

This always worked and should keep working, I'd say.

[luxedo]

Okay, so this check must be made exclusively when both Expected and Got are tuples and lists.

I added more tests and SciPy's tests now pass