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71d4269a4f
Author | SHA1 | Date | |
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71d4269a4f | |||
81e34875b9 |
6
PyLoT.py
Normal file → Executable file
6
PyLoT.py
Normal file → Executable file
@ -3590,7 +3590,7 @@ class MainWindow(QMainWindow):
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def calc_magnitude(self):
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self.init_metadata()
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if not self.metadata:
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return None
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return []
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wf_copy = self.get_data().getWFData().copy()
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@ -3599,6 +3599,10 @@ class MainWindow(QMainWindow):
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for station in np.unique(list(self.getPicks('manual').keys()) + list(self.getPicks('auto').keys())):
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wf_select += wf_copy.select(station=station)
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if not wf_select:
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logging.warning('Empty Stream in calc_magnitude. Return.')
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return []
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corr_wf = restitute_data(wf_select, self.metadata)
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# calculate moment magnitude
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moment_mag = MomentMagnitude(corr_wf, self.get_data().get_evt_data(), self.inputs.get('vp'),
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@ -268,9 +268,6 @@ class Metadata(object):
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if not fnames:
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# search for station name in filename
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fnames = glob.glob(os.path.join(path_to_inventory, '*' + station + '*'))
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if not fnames:
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# search for network name in filename
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fnames = glob.glob(os.path.join(path_to_inventory, '*' + network + '*'))
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if not fnames:
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if self.verbosity:
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print('Could not find filenames matching station name, network name or seed id')
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@ -282,7 +279,7 @@ class Metadata(object):
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continue
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invtype, robj = self._read_metadata_file(os.path.join(path_to_inventory, fname))
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try:
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# robj.get_coordinates(station_seed_id) # TODO: Commented out, failed with Parser, is this needed?
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robj.get_coordinates(station_seed_id)
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self.inventory_files[fname] = {'invtype': invtype,
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'data': robj}
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if station_seed_id in self.seed_ids.keys():
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@ -290,6 +287,7 @@ class Metadata(object):
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self.seed_ids[station_seed_id] = fname
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return True
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except Exception as e:
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logging.warning(e)
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continue
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print('Could not find metadata for station_seed_id {} in path {}'.format(station_seed_id, path_to_inventory))
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@ -654,6 +652,8 @@ def restitute_data(data, metadata, unit='VEL', force=False, ncores=0):
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"""
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# data = remove_underscores(data)
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if not data:
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return
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# loop over traces
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input_tuples = []
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@ -661,9 +661,14 @@ def restitute_data(data, metadata, unit='VEL', force=False, ncores=0):
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input_tuples.append((tr, metadata, unit, force))
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data.remove(tr)
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pool = gen_Pool(ncores)
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result = pool.imap_unordered(restitute_trace, input_tuples)
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pool.close()
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if ncores == 0:
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result = []
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for input_tuple in input_tuples:
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result.append(restitute_trace(input_tuple))
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else:
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pool = gen_Pool(ncores)
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result = pool.imap_unordered(restitute_trace, input_tuples)
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pool.close()
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for tr, remove_trace in result:
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if not remove_trace:
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