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[bugfix] partially reverted signature of an inner function with shadowed variable name

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[refactor] minor
This commit is contained in:
Marcel Paffrath 2024-08-09 16:24:40 +02:00
parent 61c3f40063
commit 759e7bb848
1 changed files with 16 additions and 17 deletions
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33
pylot/correlation/pick_correlation_correction.py
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@ -691,10 +691,8 @@ def correlate_event(eventdir: str, pylot_parameter: PylotParameter, params: dict
# continue if there is not enough traces for stacking
if nstack < params[phase_type]['min_stack']:
logging.warning('Not enough traces to stack: {} (min_stack = {}). Skip this event'.format(nstack,
params[
phase_type][
'min_stack']))
logging.warning(f"Not enough traces to stack: {nstack} "
f"(min_stack = {params[phase_type]['min_stack']}). Skip this event")
continue
# write unfiltered trace
@ -847,9 +845,8 @@ def get_corrected_taupy_picks(picks, taupypicks, all_available=False):
mean_diff = taupy_mean - picks_mean
logging.info(f'Calculated {len(taupypicks_new)} TauPy theoretical picks.')
logging.info(
'Calculated median difference from TauPy theoretical picks of {} seconds. (mean: {})'.format(median_diff,
mean_diff))
logging.info(f'Calculated median difference from TauPy '
f'theoretical picks of {median_diff} seconds. (mean: {mean_diff})')
# return all available taupypicks corrected for median difference to autopicks
if all_available:
@ -1267,9 +1264,9 @@ def apply_stacking(trace_master: Trace, stations4stack: dict, wfdata: Stream, pi
check_rms: bool, dt_pre: float = 250., dt_post: float = 250., plot: bool = False,
fig_dir: str = None) -> tuple:
def check_trace_length_and_cut(trace: Trace):
starttime = correlated_midtime - dt_pre
endtime = correlated_midtime + dt_post
def check_trace_length_and_cut(trace: Trace, pick_time: UTCDateTime = None):
starttime = pick_time - dt_pre
endtime = pick_time + dt_post
if trace.stats.starttime > starttime or trace.stats.endtime < endtime:
raise ValueError('Trace too short for safe cutting. Would create inconsistent stacking. Abort!')
@ -1282,7 +1279,7 @@ def apply_stacking(trace_master: Trace, stations4stack: dict, wfdata: Stream, pi
trace_master = trace_master.copy()
trace_master.stats.location = 'ST'
check_trace_length_and_cut(trace_master)
check_trace_length_and_cut(trace_master, pick.time)
# empty trace so that it does not stack twice
trace_master.data = np.zeros(len(trace_master.data))
@ -1296,7 +1293,7 @@ def apply_stacking(trace_master: Trace, stations4stack: dict, wfdata: Stream, pi
stream_other = wfdata.select(network=nw, station=st, channel=channel)
correlated_midtime = pick_other.time - dpick
trace_other = stream_other[0].copy()
check_trace_length_and_cut(trace_other)
check_trace_length_and_cut(trace_other, correlated_midtime)
if not len(trace_other) == len(trace_master):
logging.warning(
@ -1306,23 +1303,25 @@ def apply_stacking(trace_master: Trace, stations4stack: dict, wfdata: Stream, pi
traces4stack.append(trace_other)
if check_rms:
traces4stack = checkRMS(traces4stack, plot=plot, fig_dir=fig_dir)
traces4stack = check_rms(traces4stack, plot=plot, fig_dir=fig_dir)
if plot:
fig = plt.figure(figsize=(16, 9))
ax1 = fig.add_subplot(211)
ax2 = fig.add_subplot(212)
else:
fig = ax1 = ax2 = None
for trace_other in traces4stack:
# stack on mastertrace
trace_normalized = trace_other.copy().normalize()
trace_master.data += trace_normalized.data
count += 1
if plot:
if plot and ax1 and ax2:
ax1.plot(trace_master.data, label=count)
ax2.plot(trace_normalized.data, color='k', alpha=0.1)
if plot:
if plot and fig:
if fig_dir:
fig.savefig(os.path.join(fig_dir, 'traces_stacked.svg'), dpi=300.)
else:
@ -1335,7 +1334,7 @@ def apply_stacking(trace_master: Trace, stations4stack: dict, wfdata: Stream, pi
return trace_master, count
def checkRMS(traces4stack, plot=False, fig_dir=None, max_it=10, ntimes_std=5.):
def check_rms(traces4stack, plot=False, fig_dir=None, max_it=10, ntimes_std=5.):
rms_list = []
trace_names = []
@ -1353,7 +1352,7 @@ def checkRMS(traces4stack, plot=False, fig_dir=None, max_it=10, ntimes_std=5.):
while iterate:
count += 1
if count >= max_it:
logging.debug('Maximum iterations ({}) of checkRMS function reached.'.format(max_it))
logging.debug('Maximum iterations ({}) of check_rms function reached.'.format(max_it))
break
std = np.std(rms_list)
mean = np.mean(rms_list)