def update_station_timing_offsets(network_summary):
"""Determine which station timing offsets need updating and update"""
logger.debug("Determining update of station offsets "
"for %s" % network_summary)
summary_date = network_summary.date
stations = esd.get_station_numbers_from_esd_coincidences(network_summary)
network_off = esd.DetermineStationTimingOffsetsESD(stations)
for ref_sn, sn in network_off.get_station_pairs_within_max_distance():
off = esd.DetermineStationTimingOffsetsESD([ref_sn, sn])
cuts = off._get_cuts(sn, ref_sn)
left, right = off.determine_first_and_last_date(summary_date,
sn, ref_sn)
# To only update offset for specific date use:
# for date in [summary_date]:
for date, _ in datetime_range(left, right):
ref_summary = get_summary_or_none(date, ref_sn)
if ref_summary is None:
continue
summary = get_summary_or_none(date, sn)
if summary is None:
continue
if date in cuts:
logger.debug("Setting offset for config cut to nan for %s"
" ref %s at %s" % (summary, ref_summary, date))
offset, error = np.nan, np.nan
else:
logger.debug("Determining station offset for %s"
" ref %s at %s" % (summary, ref_summary, date))
offset, error = off.determine_station_timing_offset(date, sn,
ref_sn)
save_station_offset(ref_summary, summary, offset, error)
def update_station_timing_offsets(network_summary):
"""Determine which station timing offsets need updating and update"""
logger.debug("Determining update of station offsets "
"for %s" % network_summary)
summary_date = network_summary.date
stations = esd.get_station_numbers_from_esd_coincidences(network_summary)
network_off = esd.DetermineStationTimingOffsetsESD(stations)
for ref_sn, sn in network_off.get_station_pairs_within_max_distance():
off = esd.DetermineStationTimingOffsetsESD([ref_sn, sn])
cuts = off._get_cuts(sn, ref_sn)
left, right = off.determine_first_and_last_date(summary_date,
sn, ref_sn)
# To only update offset for specific date use:
# for date in [summary_date]:
for date, _ in datetime_range(left, right):
ref_summary = get_summary_or_none(date, ref_sn)
if ref_summary is None:
continue
summary = get_summary_or_none(date, sn)
if summary is None:
continue
if date in cuts:
logger.debug("Setting offset for config cut to nan for %s"
" ref %s at %s" % (summary, ref_summary, date))
offset, error = np.nan, np.nan
else:
logger.debug("Determining station offset for %s"
" ref %s at %s" % (summary, ref_summary, date))
offset, error = off.determine_station_timing_offset(date, sn,
ref_sn)
save_station_offset(ref_summary, summary, offset, error)
def read_dt(self, station, ref_station, start, end):
"""Overwrite how time deltas are read"""
dt = []
for date, _ in datetime_range(start, end):
data = get_timedeltas(date, ref_station, station)
if data is not None:
dt.extend(data)
return dt
def read_dt(self, station, ref_station, start, end):
"""Overwrite how time deltas are read"""
dt = []
for date, _ in datetime_range(start, end):
data = get_timedeltas(date, ref_station, station)
if data is not None:
dt.extend(data)
return dt
def test_split_range(self):
# 101 days
start = date(2016, 1, 1)
end_5days = date(2016, 1, 6)
end_100days = date(2016, 4, 11)
# no step, dates:
result = list(calibration.datetime_range(start, end_5days))
self.assertEqual(len(result), 5)
begin, _ = result[0]
_, end = result[-1]
self.assertEqual(begin, start)
self.assertEqual(end, end_5days)
# single interval
result = list(calibration.datetime_range(start, end_5days, 5))
self.assertEqual(len(result), 1)
begin, end = result[0]
self.assertEqual(begin, start)
self.assertEqual(end, end_5days)
# split an even interval in two parts
result = list(calibration.datetime_range(start, end_5days, 2))
self.assertEqual(len(result), 2)
begin, _ = result[0]
_, end = result[-1]
self.assertEqual(begin, start)
self.assertEqual(end, end_5days)
# split large interval, remainder = 0
result = list(calibration.datetime_range(start, end_100days, 10))
self.assertEqual(len(result), 10)
begin, _ = result[0]
_, end = result[-1]
self.assertEqual(begin, start)
self.assertEqual(end, end_100days)
# split large interval, divide remainder
result = list(calibration.datetime_range(start, end_100days, 7))
self.assertEqual(len(result), 14)
begin, _ = result[0]
_, end = result[-1]
self.assertEqual(begin, start)
self.assertEqual(end, end_100days)
# number of steps == 0
result = list(calibration.datetime_range(start, start, 1))
self.assertEqual(len(result), 1)
self.assertEqual(result, [(start, start)])
