def get_targets(self):
targets = []
for station in self.get_stations():
channel_data = []
channels = station.get_channels()
if channels:
for channel in channels:
channel_data.append(
[channel.name, channel.azimuth, channel.dip])
else:
for c_name in ['BHZ', 'BHE', 'BHN']:
channel_data.append([
c_name,
model.guess_azimuth_from_name(c_name),
model.guess_dip_from_name(c_name)
])
for c_name, c_azi, c_dip in channel_data:
target = gf.Target(codes=(station.network, station.station,
station.location, c_name),
quantity='displacement',
lat=station.lat,
lon=station.lon,
depth=station.depth,
store_id=self.store_id,
optimization='enable',
interpolation='nearest_neighbor',
azimuth=c_azi,
dip=c_dip)
targets.append(target)
return targets
def get_targets(self):
if self._targets:
return self._targets
for station in self.get_stations():
channel_data = []
channels = station.get_channels()
if channels:
for channel in channels:
channel_data.append([
channel.name,
channel.azimuth,
channel.dip])
else:
for c_name in ['BHZ', 'BHE', 'BHN']:
channel_data.append([
c_name,
model.guess_azimuth_from_name(c_name),
model.guess_dip_from_name(c_name)])
for c_name, c_azi, c_dip in channel_data:
target = gf.Target(
codes=(
station.network,
station.station,
station.location,
c_name),
quantity='displacement',
lat=station.lat,
lon=station.lon,
depth=station.depth,
store_id=self.store_id,
optimization='enable',
interpolation='nearest_neighbor',
azimuth=c_azi,
dip=c_dip)
self._targets.append(target)
return self._targets