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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 space_time_cluster(catalog, t_thresh, d_thresh):
 """ Cluster detections in space and time. Use to separate repeaters from other events. Clusters by distance first, then removes events in those groups that are at different times. :type catalog: obspy.core.event.Catalog :param catalog: Catalog of events to clustered :type t_thresh: float :param t_thresh: Maximum inter-event time threshold in seconds :type d_thresh: float :param d_thresh: Maximum inter-event distance in km :returns: list of :class:`obspy.core.event.Catalog` objects :rtype: list """

    initial_spatial_groups = space_cluster(catalog=catalog, d_thresh=d_thresh,
                                           show=False)
    # Need initial_spatial_groups to be lists at the moment
    initial_spatial_lists = []
    for group in initial_spatial_groups:
        initial_spatial_lists.append(list(group))
    # Check within these groups and throw them out if they are not close in
    # time.
    groups = []
    for group in initial_spatial_lists:
        for master in group:
            for event in group:
                if abs(event.preferred_origin().time -
                       master.preferred_origin().time) > t_thresh:
                    # If greater then just put event in on it's own
                    groups.append([event])
                    group.remove(event)
        groups.append(group)
    return [Catalog(group) for group in groups]