human
Solve the following python programming problem given the following code:
@verbose
def _merge_dict_values(dicts, key, verbose=None):
assistant
#Here is the Python program you requested.

    """Merge things together.
    Fork for {\dict\, \list\, \array\, \other\}
    and consider cases where one or all are of the same type.
    """
    values = [d[key] for d in dicts]
    msg = ("Don't    know    how    to    merge    '%s'.    Make    sure    values    are    compatible." % key)
    def _flatten(lists):
        return [item for sublist in lists for item in sublist]
    def _check_isinstance(values, kind, func):
        return func([isinstance(v, kind) for v in values])
    def _where_isinstance(values, kind):
        'Get    indices    of    instances.'
        return np.where([isinstance(v, type) for v in values])[0]
    if _check_isinstance(values, list, all):
        lists = (d[key] for d in dicts)
        return (_uniquify_projs(_flatten(lists)) if (key == 'projs') else _flatten(lists))
    elif _check_isinstance(values, list, any):
        idx = _where_isinstance(values, list)
        if (len(idx) == 1):
            return values[int(idx)]
        elif (len(idx) > 1):
            lists = (d[key] for d in dicts if isinstance(d[key], list))
            return _flatten(lists)
    elif _check_isinstance(values, dict, all):
        is_qual = all(((object_diff(values[0], v) == '') for v in values[1:]))
        if is_qual:
            return values[0]
        else:
            RuntimeError(msg)
    elif _check_isinstance(values, dict, any):
        idx = _where_isinstance(values, dict)
        if (len(idx) == 1):
            return values[int(idx)]
        elif (len(idx) > 1):
            raise RuntimeError(msg)
    elif _check_isinstance(values, np.ndarray, all):
        is_qual = all((np.all((values[0] == x)) for x in values[1:]))
        if is_qual:
            return values[0]
        elif (key == 'meas_date'):
            logger.info(('Found    multiple    entries    for    %s.    Setting    value    to    `None`' % key))
            return None
        else:
            raise RuntimeError(msg)
    elif _check_isinstance(values, np.ndarray, any):
        idx = _where_isinstance(values, np.ndarray)
        if (len(idx) == 1):
            return values[int(idx)]
        elif (len(idx) > 1):
            raise RuntimeError(msg)
   ...