def _createPropertyFilters(self) -> None: self.propertyFilters = list() if self.subruns.size == 1: self.propertyFilters.append(None) else: for subrun_index in range(self.subruns.size): subrun_start_time = self.times[2 * subrun_index] subrun_stop_time = self.times[2 * subrun_index + 1] # create a Boolean time series property as the filter time_filter = BoolTimeSeriesProperty('filter') time_filter.addValue(subrun_start_time, True) time_filter.addValue(subrun_stop_time, False) self.propertyFilters.append(time_filter)
def setUp(self): if self.__class__._source is not None: return height = FloatTimeSeriesProperty("height") height.addValue("2007-11-30T16:17:00", 1) height.addValue("2007-11-30T16:17:10", 2) height.addValue("2007-11-30T16:17:20", 3) height.addValue("2007-11-30T16:17:30", 4) height.addValue("2007-11-30T16:17:40", 5) filter = BoolTimeSeriesProperty("filter") filter.addValue("2007-11-30T16:16:50", False) filter.addValue("2007-11-30T16:17:25", True) filter.addValue("2007-11-30T16:17:39", False) self.__class__._source = height self.__class__._filter = filter
def setUp(self): if self.__class__._source is not None: return height = FloatTimeSeriesProperty("height") height.addValue("2007-11-30T16:17:00",1) height.addValue("2007-11-30T16:17:10",2) height.addValue("2007-11-30T16:17:20",3) height.addValue("2007-11-30T16:17:30",4) height.addValue("2007-11-30T16:17:40",5) filter = BoolTimeSeriesProperty("filter") filter.addValue("2007-11-30T16:16:50",False) filter.addValue("2007-11-30T16:17:25",True) filter.addValue("2007-11-30T16:17:39",False) self.__class__._source = height self.__class__._filter = filter
def test_addFilter_filters_log(self): height_log = FloatTimeSeriesProperty("height_log") height_log.addValue("2008-Jun-17 11:10:44", -0.86526) height_log.addValue("2008-Jun-17 11:10:45", -1.17843) height_log.addValue("2008-Jun-17 11:10:47", -1.27995) height_log.addValue("2008-Jun-17 11:20:15", -1.38216) height_log.addValue("2008-Jun-17 11:20:16", -1.87435) height_log.addValue("2008-Jun-17 11:20:17", -2.70547) height_log.addValue("2008-Jun-17 11:20:19", -2.99125) height_log.addValue("2008-Jun-17 11:20:20", -3) height_log.addValue("2008-Jun-17 11:20:27", -2.98519) height_log.addValue("2008-Jun-17 11:20:29", -2.68904) period_log = BoolTimeSeriesProperty("period 7") period_log.addValue("2008-Jun-17 11:11:13", False) period_log.addValue("2008-Jun-17 11:11:13", False) period_log.addValue("2008-Jun-17 11:11:18", False) period_log.addValue("2008-Jun-17 11:11:30", False) period_log.addValue("2008-Jun-17 11:11:42", False) period_log.addValue("2008-Jun-17 11:11:52", False) period_log.addValue("2008-Jun-17 11:12:01", False) period_log.addValue("2008-Jun-17 11:12:11", False) period_log.addValue("2008-Jun-17 11:12:21", True) period_log.addValue("2008-Jun-17 11:12:32", False) self.assertEquals(height_log.size(), 10) filter = LogFilter(height_log) filter.addFilter(period_log) filtered = filter.data() self.assertEquals(filtered.size(), 1)
def test_addFilter_filters_log(self): height_log = FloatTimeSeriesProperty("height_log"); height_log.addValue("2008-Jun-17 11:10:44", -0.86526) height_log.addValue("2008-Jun-17 11:10:45", -1.17843) height_log.addValue("2008-Jun-17 11:10:47", -1.27995) height_log.addValue("2008-Jun-17 11:20:15", -1.38216) height_log.addValue("2008-Jun-17 11:20:16", -1.87435) height_log.addValue("2008-Jun-17 11:20:17", -2.70547) height_log.addValue("2008-Jun-17 11:20:19", -2.99125) height_log.addValue("2008-Jun-17 11:20:20", -3); height_log.addValue("2008-Jun-17 11:20:27", -2.98519) height_log.addValue("2008-Jun-17 11:20:29", -2.68904) period_log = BoolTimeSeriesProperty("period 7") period_log.addValue("2008-Jun-17 11:11:13", False) period_log.addValue("2008-Jun-17 11:11:13", False) period_log.addValue("2008-Jun-17 11:11:18", False) period_log.addValue("2008-Jun-17 11:11:30", False) period_log.addValue("2008-Jun-17 11:11:42", False) period_log.addValue("2008-Jun-17 11:11:52", False) period_log.addValue("2008-Jun-17 11:12:01", False) period_log.addValue("2008-Jun-17 11:12:11", False) period_log.addValue("2008-Jun-17 11:12:21", True) period_log.addValue("2008-Jun-17 11:12:32", False) self.assertEquals(height_log.size(), 10); filter = LogFilter(height_log) filter.addFilter(period_log) filtered = filter.data() self.assertEquals(filtered.size(), 1)