How to use the pm4py.algo.filtering.log.timestamp.timestamp_filter function in pm4py

log = get_log(split.train_log)
    requests_list = list()

    eventlog = EventLog()
    for key in log.attributes.keys():
        eventlog.attributes[key] = log.attributes[key]
    for trace in log:
        new_trace = Trace(trace)
        for key in trace.attributes:
            new_trace.attributes[key] = trace.attributes[key]
        eventlog.append(new_trace)

    times = sorted(set([event['time:timestamp'] for trace in eventlog for event in trace]))

    for t in times[2::5]:
        filtered_eventlog = timestamp_filter.apply_events(eventlog, times[0].replace(tzinfo=None),
                                                          t.replace(tzinfo=None))
        trace_list = list()
        event_number = dict()
        for trace in filtered_eventlog:
            trace_list.append(trace.attributes['concept:name'])
            event_number[trace.attributes['concept:name']] = len(trace)
        replay_job.case_id = trace_list
        replay_job.event_number = event_number
        replay_job.save()
        try: #TODO check logger usage
            logger.info("Sending request for replay_prediction task.")
            r = requests.post(
                url="http://server:8000/runtime/replay_prediction/",
                data=export_log_as_string(filtered_eventlog),
                params={'jobId': replay_job.id, 'training_job': training_initial_job.id},
                headers={'Content-Type': 'text/plain', 'charset': 'UTF-8'}