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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def execute_cross_join(op, left, right, **kwargs):
 """Execute a cross join in pandas. Notes ----- We create a dummy column of all :data:`True` instances and use that as the join key. This results in the desired Cartesian product behavior guaranteed by cross join. """

    # generate a unique name for the temporary join key
    key = "cross_join_{}".format(ibis.util.guid())
    join_key = {key: True}
    new_left = left.assign(**join_key)
    new_right = right.assign(**join_key)

    # inner/outer doesn't matter because every row matches every other row
    result = pd.merge(
        new_left,
        new_right,
        how='inner',
        on=key,
        copy=False,
        suffixes=constants.JOIN_SUFFIXES,
    )

    # remove the generated key
    del result[key]

    return result