status: failed
duration: 0.010s
captured errors:
@skipdeco
    def test_mat_printdata():
        fname = matlab_test_data.matfiles["iir_test_struct.mat"]
        fname_out = path.join(localpath, "out.mat")
        with pytest.raises(SystemExit):
>           v2_main(["-D", "data,D", "--mode", "printdata", fname, fname_out])

../../src/wield/control/fitting/SISO/test/v2/io/test_io.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../../src/wield/control/fitting/SISO/v2/__main__.py:545: in IIRrationalV2fit
    dataB = data_load(
../../src/wield/control/fitting/SISO/v2/__main__.py:253: in data_load
    fdict_data = file_io.load_any(
/wield/wield-utilities/src/wield/utilities/file_io/any_io.py:59: in load_any
    fdict = matlab_io.load_matlab(fname)
/wield/wield-utilities/src/wield/utilities/file_io/matlab_io.py:52: in load_matlab
    d = squeezerec(None, d)
/wield/wield-utilities/src/wield/utilities/file_io/matlab_io.py:16: in squeezerec
    obj[k] = squeezerec(k, v)
/wield/wield-utilities/src/wield/utilities/file_io/matlab_io.py:35: in squeezerec
    d[name] = squeezerec(name, obj[name])
/wield/wield-utilities/src/wield/utilities/file_io/matlab_io.py:21: in squeezerec
    return squeezerec(None, obj.item())
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

key = None
obj = array([array([1, 2], dtype=uint8), array([1, 2], dtype=object),
       array((1,), dtype=[('A', 'O')])], dtype=object)

    def squeezerec(key, obj):
        if isinstance(obj, dict):
            for k, v in list(obj.items()):
                obj[k] = squeezerec(k, v)
            return obj
        elif isinstance(obj, np.ndarray):
            if obj.dtype.names is None:
                if not obj.shape:
                    return squeezerec(None, obj.item())
                if obj.shape == (0,) or obj.shape == (0, 0):
                    return None
                else:
                    if obj.dtype == object:
                        lst = []
                        for idx, v in enumerate(obj):
                            lst.append(squeezerec(idx, v))
>                       return np.array(lst)
E                       ValueError: setting an array element with a sequence. The requested array has an inhomogeneous shape after 1 dimensions. The detected shape was (3,) + inhomogeneous part.

/wield/wield-utilities/src/wield/utilities/file_io/matlab_io.py:29: ValueError