How to use the pycel.excelutil.DIV0 function in pycel

        (DIV0, DIV0),
    )
)
def test_datevalue(value, expected):
    assert datevalue(value) == expected

        (DIV0, DIV0),
    )
)
def test_x_len(param, result):
    assert x_len(param) == result

def test_average():
    assert 2 == average(1, '3', 2.0, pytest, 3, 'x')
    assert 2 == average((1, '3', (2.0, pytest, 3), 'x'))

    assert -0.1 == average((-0.1, None, 'x', True))

    assert DIV0 == average(['x'])

    assert VALUE_ERROR == average(VALUE_ERROR)
    assert VALUE_ERROR == average((2, VALUE_ERROR))

    assert DIV0 == average(DIV0)
    assert DIV0 == average((2, DIV0))

def test_invalid_parameters(self):
        assert mid(VALUE_ERROR, 2, 2) == VALUE_ERROR
        assert mid('Romain', VALUE_ERROR, 2) == VALUE_ERROR
        assert mid('Romain', 2, VALUE_ERROR) == VALUE_ERROR
        assert mid(DIV0, 2, 2) == DIV0
        assert mid('Romain', DIV0, 2) == DIV0
        assert mid('Romain', 2, DIV0) == DIV0

        assert mid('Romain', 'x', 2) == VALUE_ERROR
        assert mid('Romain', 2, 'x') == VALUE_ERROR

        ((NA_ERROR, DIV0), NA_ERROR),
        ((DIV0, NA_ERROR), DIV0),
    )
)
def test_power(data, expected):
    result = power(*data)
    if isinstance(result, str):
        assert result == expected
    else:
        assert result == pytest.approx(expected, rel=1e-3)

def averageifs(average_range, *args):
    # Excel reference: https://support.office.com/en-us/article/
    #   AVERAGEIFS-function-48910C45-1FC0-4389-A028-F7C5C3001690
    if not list_like(average_range):
        average_range = ((average_range, ), )

    coords = handle_ifs(args, average_range)

    # A returned string is an error code
    if isinstance(coords, str):
        return coords

    data = _numerics((average_range[r][c] for r, c in coords), keep_bools=True)
    if len(data) == 0:
        return DIV0
    return sum(data) / len(data)

def average(*args):
    # Excel reference: https://support.office.com/en-us/article/
    #   average-function-047bac88-d466-426c-a32b-8f33eb960cf6
    data = _numerics(*args)

    # A returned string is an error code
    if isinstance(data, str):
        return data
    elif len(data) == 0:
        return DIV0
    else:
        return sum(data) / len(data)

def power(number, power):
    # Excel reference: https://support.office.com/en-us/article/
    #   POWER-function-D3F2908B-56F4-4C3F-895A-07FB519C362A
    if number == power == 0:
        # Really excel?  What were you thinking?
        return NA_ERROR

    try:
        return number ** power
    except ZeroDivisionError:
        return DIV0