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# http://pyrocko.org - GPLv3 

# 

# The Pyrocko Developers, 21st Century 

# ---|P------/S----------~Lg---------- 

from __future__ import absolute_import 

import logging 

from pyrocko.guts import StringPattern, StringChoice, String, Float, Int,\ 

Timestamp, Object, List, Union, Bool, Unicode 

from pyrocko.model import event 

from pyrocko.gui import marker 

from pyrocko import moment_tensor 

import numpy as num 

 

logger = logging.getLogger('pyrocko.io.quakeml') 

 

guts_prefix = 'quakeml' 

guts_xmlns = 'http://quakeml.org/xmlns/bed/1.2' 

polarity_choices = {'positive': 1, 'negative': -1, 'undecidable': None} 

 

 

class QuakeMLError(Exception): 

pass 

 

 

class NoPreferredOriginSet(QuakeMLError): 

pass 

 

 

def one_element_or_none(li): 

if len(li) == 1: 

return li[0] 

elif len(li) == 0: 

return None 

else: 

logger.warning('More than one element in list: {}'.format(li)) 

return None 

 

 

class ResourceIdentifier(StringPattern): 

pattern = "^(smi|quakeml):[\\w\\d][\\w\\d\\-\\.\\*\\(\\)_~']{2,}/[\\w" +\ 

"\\d\\-\\.\\*\\(\\)_~'][\\w\\d\\-\\.\\*\\(\\)\\+\\?_~'=,;#/&]*$" 

 

 

class WhitespaceOrEmptyStringType(StringPattern): 

pattern = '^\\s*$' 

 

 

class OriginUncertaintyDescription(StringChoice): 

choices = [ 

'horizontal uncertainty', 

'uncertainty ellipse', 

'confidence ellipsoid'] 

 

 

class AmplitudeCategory(StringChoice): 

choices = ['point', 'mean', 'duration', 'period', 'integral', 'other'] 

 

 

class OriginDepthType(StringChoice): 

choices = [ 

'from location', 

'from moment tensor inversion', 

'from modeling of broad-band P waveforms', 

'constrained by depth phases', 

'constrained by direct phases', 

'constrained by depth and direct phases', 

'operator assigned', 

'other'] 

 

 

class OriginType(StringChoice): 

choices = [ 

'hypocenter', 

'centroid', 

'amplitude', 

'macroseismic', 

'rupture start', 

'rupture end'] 

 

 

class MTInversionType(StringChoice): 

choices = ['general', 'zero trace', 'double couple'] 

 

 

class EvaluationMode(StringChoice): 

choices = ['manual', 'automatic'] 

 

 

class EvaluationStatus(StringChoice): 

choices = ['preliminary', 'confirmed', 'reviewed', 'final', 'rejected'] 

 

 

class PickOnset(StringChoice): 

choices = ['emergent', 'impulsive', 'questionable'] 

 

 

class EventType(StringChoice): 

choices = [ 

'not existing', 

'not reported', 

'earthquake', 

'anthropogenic event', 

'collapse', 

'cavity collapse', 

'mine collapse', 

'building collapse', 

'explosion', 

'accidental explosion', 

'chemical explosion', 

'controlled explosion', 

'experimental explosion', 

'industrial explosion', 

'mining explosion', 

'quarry blast', 

'road cut', 

'blasting levee', 

'nuclear explosion', 

'induced or triggered event', 

'rock burst', 

'reservoir loading', 

'fluid injection', 

'fluid extraction', 

'crash', 

'plane crash', 

'train crash', 

'boat crash', 

'other event', 

'atmospheric event', 

'sonic boom', 

'sonic blast', 

'acoustic noise', 

'thunder', 

'avalanche', 

'snow avalanche', 

'debris avalanche', 

'hydroacoustic event', 

'ice quake', 

'slide', 

'landslide', 

'rockslide', 

'meteorite', 

'volcanic eruption', 

'duplicate earthquake', 

'rockburst'] 

 

 

class DataUsedWaveType(StringChoice): 

choices = [ 

'P waves', 

'body waves', 

'surface waves', 

'mantle waves', 

'combined', 

'unknown'] 

 

 

class AmplitudeUnit(StringChoice): 

choices = ['m', 's', 'm/s', 'm/(s*s)', 'm*s', 'dimensionless', 'other'] 

 

 

class EventDescriptionType(StringChoice): 

choices = [ 

'felt report', 

'Flinn-Engdahl region', 

'local time', 

'tectonic summary', 

'nearest cities', 

'earthquake name', 

'region name'] 

 

 

class MomentTensorCategory(StringChoice): 

choices = ['teleseismic', 'regional'] 

 

 

class EventTypeCertainty(StringChoice): 

choices = ['known', 'suspected'] 

 

 

class SourceTimeFunctionType(StringChoice): 

choices = ['box car', 'triangle', 'trapezoid', 'unknown'] 

 

 

class PickPolarity(StringChoice): 

choices = list(polarity_choices.keys()) 

 

 

class AgencyID(String): 

pass 

 

 

class Author(Unicode): 

pass 

 

 

class Version(String): 

pass 

 

 

class Phase(Object): 

value = String.T(xmlstyle='content') 

 

 

class GroundTruthLevel(String): 

pass 

 

 

class AnonymousNetworkCode(String): 

pass 

 

 

class AnonymousStationCode(String): 

pass 

 

 

class AnonymousChannelCode(String): 

pass 

 

 

class AnonymousLocationCode(String): 

pass 

 

 

class Type(String): 

pass 

 

 

class MagnitudeHint(String): 

pass 

 

 

class Region(Unicode): 

pass 

 

 

class RealQuantity(Object): 

value = Float.T() 

uncertainty = Float.T(optional=True) 

lower_uncertainty = Float.T(optional=True) 

upper_uncertainty = Float.T(optional=True) 

confidence_level = Float.T(optional=True) 

 

 

class IntegerQuantity(Object): 

value = Int.T() 

uncertainty = Int.T(optional=True) 

lower_uncertainty = Int.T(optional=True) 

upper_uncertainty = Int.T(optional=True) 

confidence_level = Float.T(optional=True) 

 

 

class ConfidenceEllipsoid(Object): 

semi_major_axis_length = Float.T() 

semi_minor_axis_length = Float.T() 

semi_intermediate_axis_length = Float.T() 

major_axis_plunge = Float.T() 

major_axis_azimuth = Float.T() 

major_axis_rotation = Float.T() 

 

 

class TimeQuantity(Object): 

value = Timestamp.T() 

uncertainty = Float.T(optional=True) 

lower_uncertainty = Float.T(optional=True) 

upper_uncertainty = Float.T(optional=True) 

confidence_level = Float.T(optional=True) 

 

 

class TimeWindow(Object): 

begin = Float.T() 

end = Float.T() 

reference = Timestamp.T() 

 

 

class ResourceReference(ResourceIdentifier): 

pass 

 

 

class DataUsed(Object): 

wave_type = DataUsedWaveType.T() 

station_count = Int.T(optional=True) 

component_count = Int.T(optional=True) 

shortest_period = Float.T(optional=True) 

longest_period = Float.T(optional=True) 

 

 

class EventDescription(Object): 

text = Unicode.T() 

type = EventDescriptionType.T(optional=True) 

 

 

class SourceTimeFunction(Object): 

type = SourceTimeFunctionType.T() 

duration = Float.T() 

rise_time = Float.T(optional=True) 

decay_time = Float.T(optional=True) 

 

 

class OriginQuality(Object): 

associated_phase_count = Int.T(optional=True) 

used_phase_count = Int.T(optional=True) 

associated_station_count = Int.T(optional=True) 

used_station_count = Int.T(optional=True) 

depth_phase_count = Int.T(optional=True) 

standard_error = Float.T(optional=True) 

azimuthal_gap = Float.T(optional=True) 

secondary_azimuthal_gap = Float.T(optional=True) 

ground_truth_level = GroundTruthLevel.T(optional=True) 

maximum_distance = Float.T(optional=True) 

minimum_distance = Float.T(optional=True) 

median_distance = Float.T(optional=True) 

 

 

class Axis(Object): 

azimuth = RealQuantity.T() 

plunge = RealQuantity.T() 

length = RealQuantity.T() 

 

 

class Tensor(Object): 

mrr = RealQuantity.T(xmltagname='Mrr') 

mtt = RealQuantity.T(xmltagname='Mtt') 

mpp = RealQuantity.T(xmltagname='Mpp') 

mrt = RealQuantity.T(xmltagname='Mrt') 

mrp = RealQuantity.T(xmltagname='Mrp') 

mtp = RealQuantity.T(xmltagname='Mtp') 

 

 

class NodalPlane(Object): 

strike = RealQuantity.T() 

dip = RealQuantity.T() 

rake = RealQuantity.T() 

 

 

class CompositeTime(Object): 

year = IntegerQuantity.T(optional=True) 

month = IntegerQuantity.T(optional=True) 

day = IntegerQuantity.T(optional=True) 

hour = IntegerQuantity.T(optional=True) 

minute = IntegerQuantity.T(optional=True) 

second = RealQuantity.T(optional=True) 

 

 

class OriginUncertainty(Object): 

horizontal_uncertainty = Float.T(optional=True) 

min_horizontal_uncertainty = Float.T(optional=True) 

max_horizontal_uncertainty = Float.T(optional=True) 

azimuth_max_horizontal_uncertainty = Float.T(optional=True) 

confidence_ellipsoid = ConfidenceEllipsoid.T(optional=True) 

preferred_description = OriginUncertaintyDescription.T(optional=True) 

confidence_level = Float.T(optional=True) 

 

 

class ResourceReferenceOptional(Union): 

members = [ResourceReference.T(), WhitespaceOrEmptyStringType.T()] 

 

 

class CreationInfo(Object): 

agency_id = AgencyID.T(optional=True, xmltagname='agencyID') 

agency_uri = ResourceReference.T(optional=True, xmltagname='agencyURI') 

author = Author.T(optional=True) 

author_uri = ResourceReference.T(optional=True, xmltagname='authorURI') 

creation_time = Timestamp.T(optional=True) 

version = Version.T(optional=True) 

 

 

class StationMagnitudeContribution(Object): 

station_magnitude_id = ResourceReference.T(xmltagname='stationMagnitudeID') 

residual = Float.T(optional=True) 

weight = Float.T(optional=True) 

 

 

class PrincipalAxes(Object): 

t_axis = Axis.T() 

p_axis = Axis.T() 

n_axis = Axis.T(optional=True) 

 

 

class NodalPlanes(Object): 

preferred_plane = Int.T(optional=True, xmlstyle='attribute') 

nodal_plane1 = NodalPlane.T(optional=True) 

nodal_plane2 = NodalPlane.T(optional=True) 

 

 

class WaveformStreamID(Object): 

value = ResourceReferenceOptional.T(xmlstyle='content') 

network_code = AnonymousNetworkCode.T(xmlstyle='attribute') 

station_code = AnonymousStationCode.T(xmlstyle='attribute') 

channel_code = AnonymousChannelCode.T(optional=True, xmlstyle='attribute') 

location_code = AnonymousLocationCode.T( 

optional=True, xmlstyle='attribute') 

 

@property 

def nslc_id(self): 

return (self.network_code, self.station_code, self.location_code, 

self.channel_code) 

 

 

class Comment(Object): 

id = ResourceReference.T(optional=True, xmlstyle='attribute') 

text = Unicode.T() 

creation_info = CreationInfo.T(optional=True) 

 

 

class MomentTensor(Object): 

public_id = ResourceReference.T( 

xmlstyle='attribute', xmltagname='publicID') 

data_used_list = List.T(DataUsed.T()) 

comment_list = List.T(Comment.T()) 

derived_origin_id = ResourceReference.T( 

optional=True, xmltagname='derivedOriginID') 

moment_magnitude_id = ResourceReference.T( 

optional=True, xmltagname='momentMagnitudeID') 

scalar_moment = RealQuantity.T(optional=True) 

tensor = Tensor.T(optional=True) 

variance = Float.T(optional=True) 

variance_reduction = Float.T(optional=True) 

double_couple = Float.T(optional=True) 

clvd = Float.T(optional=True) 

iso = Float.T(optional=True) 

greens_function_id = ResourceReference.T( 

optional=True, xmltagname='greensFunctionID') 

filter_id = ResourceReference.T(optional=True, xmltagname='filterID') 

source_time_function = SourceTimeFunction.T(optional=True) 

method_id = ResourceReference.T(optional=True, xmltagname='methodID') 

category = MomentTensorCategory.T(optional=True) 

inversion_type = MTInversionType.T(optional=True) 

creation_info = CreationInfo.T(optional=True) 

 

def pyrocko_moment_tensor(self): 

mrr = self.tensor.mrr.value 

mtt = self.tensor.mtt.value 

mpp = self.tensor.mpp.value 

mrt = self.tensor.mrt.value 

mrp = self.tensor.mrp.value 

mtp = self.tensor.mtp.value 

mt = moment_tensor.MomentTensor(m_up_south_east=num.matrix([ 

[mrr, mrt, mrp], [mrt, mtt, mtp], [mrp, mtp, mpp]])) 

 

return mt 

 

 

class Amplitude(Object): 

public_id = ResourceReference.T( 

xmlstyle='attribute', xmltagname='publicID') 

comment_list = List.T(Comment.T()) 

generic_amplitude = RealQuantity.T() 

type = Type.T(optional=True) 

category = AmplitudeCategory.T(optional=True) 

unit = AmplitudeUnit.T(optional=True) 

method_id = ResourceReference.T(optional=True, xmltagname='methodID') 

period = RealQuantity.T(optional=True) 

snr = Float.T(optional=True) 

time_window = TimeWindow.T(optional=True) 

pick_id = ResourceReference.T(optional=True, xmltagname='pickID') 

waveform_id = WaveformStreamID.T(optional=True, xmltagname='waveformID') 

filter_id = ResourceReference.T(optional=True, xmltagname='filterID') 

scaling_time = TimeQuantity.T(optional=True) 

magnitude_hint = MagnitudeHint.T(optional=True) 

evaluation_mode = EvaluationMode.T(optional=True) 

evaluation_status = EvaluationStatus.T(optional=True) 

creation_info = CreationInfo.T(optional=True) 

 

 

class Magnitude(Object): 

public_id = ResourceReference.T( 

xmlstyle='attribute', xmltagname='publicID') 

comment_list = List.T(Comment.T()) 

station_magnitude_contribution_list = List.T( 

StationMagnitudeContribution.T()) 

mag = RealQuantity.T() 

type = Type.T(optional=True) 

origin_id = ResourceReference.T(optional=True, xmltagname='originID') 

method_id = ResourceReference.T(optional=True, xmltagname='methodID') 

station_count = Int.T(optional=True) 

azimuthal_gap = Float.T(optional=True) 

evaluation_mode = EvaluationMode.T(optional=True) 

evaluation_status = EvaluationStatus.T(optional=True) 

creation_info = CreationInfo.T(optional=True) 

 

 

class StationMagnitude(Object): 

public_id = ResourceReference.T( 

xmlstyle='attribute', xmltagname='publicID') 

comment_list = List.T(Comment.T()) 

origin_id = ResourceReference.T(optional=True, xmltagname='originID') 

mag = RealQuantity.T() 

type = Type.T(optional=True) 

amplitude_id = ResourceReference.T(optional=True, xmltagname='amplitudeID') 

method_id = ResourceReference.T(optional=True, xmltagname='methodID') 

waveform_id = WaveformStreamID.T(optional=True, xmltagname='waveformID') 

creation_info = CreationInfo.T(optional=True) 

 

 

class Arrival(Object): 

public_id = ResourceReference.T( 

xmlstyle='attribute', xmltagname='publicID') 

comment_list = List.T(Comment.T()) 

pick_id = ResourceReference.T(xmltagname='pickID') 

phase = Phase.T() 

time_correction = Float.T(optional=True) 

azimuth = Float.T(optional=True) 

distance = Float.T(optional=True) 

takeoff_angle = RealQuantity.T(optional=True) 

time_residual = Float.T(optional=True) 

horizontal_slowness_residual = Float.T(optional=True) 

backazimuth_residual = Float.T(optional=True) 

time_weight = Float.T(optional=True) 

time_used = Int.T(optional=True) 

horizontal_slowness_weight = Float.T(optional=True) 

backazimuth_weight = Float.T(optional=True) 

earth_model_id = ResourceReference.T( 

optional=True, xmltagname='earthModelID') 

creation_info = CreationInfo.T(optional=True) 

 

 

class Pick(Object): 

public_id = ResourceReference.T( 

xmlstyle='attribute', xmltagname='publicID') 

comment_list = List.T(Comment.T()) 

time = TimeQuantity.T() 

waveform_id = WaveformStreamID.T(xmltagname='waveformID') 

filter_id = ResourceReference.T(optional=True, xmltagname='filterID') 

method_id = ResourceReference.T(optional=True, xmltagname='methodID') 

horizontal_slowness = RealQuantity.T(optional=True) 

backazimuth = RealQuantity.T(optional=True) 

slowness_method_id = ResourceReference.T( 

optional=True, xmltagname='slownessMethodID') 

onset = PickOnset.T(optional=True) 

phase_hint = Phase.T(optional=True) 

polarity = PickPolarity.T(optional=True) 

evaluation_mode = EvaluationMode.T(optional=True) 

evaluation_status = EvaluationStatus.T(optional=True) 

creation_info = CreationInfo.T(optional=True) 

 

@property 

def pyrocko_polarity(self): 

return polarity_choices.get(self.polarity, None) 

 

def get_pyrocko_phase_marker(self, event=None): 

if not self.phase_hint: 

logger.warn('Pick %s: phase_hint undefined' % self.public_id) 

phasename = 'undefined' 

else: 

phasename = self.phase_hint.value 

 

return marker.PhaseMarker( 

event=event, nslc_ids=[self.waveform_id.nslc_id], 

tmin=self.time.value, tmax=self.time.value, 

phasename=phasename, 

polarity=self.pyrocko_polarity, 

automatic=self.evaluation_mode) 

 

 

class FocalMechanism(Object): 

public_id = ResourceReference.T( 

xmlstyle='attribute', xmltagname='publicID') 

waveform_id_list = List.T(WaveformStreamID.T(xmltagname='waveformID')) 

comment_list = List.T(Comment.T()) 

moment_tensor_list = List.T(MomentTensor.T()) 

triggering_origin_id = ResourceReference.T( 

optional=True, xmltagname='triggeringOriginID') 

nodal_planes = NodalPlanes.T(optional=True) 

principal_axes = PrincipalAxes.T(optional=True) 

azimuthal_gap = Float.T(optional=True) 

station_polarity_count = Int.T(optional=True) 

misfit = Float.T(optional=True) 

station_distribution_ratio = Float.T(optional=True) 

method_id = ResourceReference.T(optional=True, xmltagname='methodID') 

evaluation_mode = EvaluationMode.T(optional=True) 

evaluation_status = EvaluationStatus.T(optional=True) 

creation_info = CreationInfo.T(optional=True) 

 

 

class Origin(Object): 

public_id = ResourceReference.T( 

xmlstyle='attribute', xmltagname='publicID') 

composite_time_list = List.T(CompositeTime.T()) 

comment_list = List.T(Comment.T()) 

origin_uncertainty_list = List.T(OriginUncertainty.T()) 

arrival_list = List.T(Arrival.T()) 

time = TimeQuantity.T() 

longitude = RealQuantity.T() 

latitude = RealQuantity.T() 

depth = RealQuantity.T(optional=True) 

depth_type = OriginDepthType.T(optional=True) 

time_fixed = Bool.T(optional=True) 

epicenter_fixed = Bool.T(optional=True) 

reference_system_id = ResourceReference.T( 

optional=True, xmltagname='referenceSystemID') 

method_id = ResourceReference.T(optional=True, xmltagname='methodID') 

earth_model_id = ResourceReference.T( 

optional=True, xmltagname='earthModelID') 

quality = OriginQuality.T(optional=True) 

type = OriginType.T(optional=True) 

region = Region.T(optional=True) 

evaluation_mode = EvaluationMode.T(optional=True) 

evaluation_status = EvaluationStatus.T(optional=True) 

creation_info = CreationInfo.T(optional=True) 

 

def position_values(self): 

lat = self.latitude.value 

lon = self.longitude.value 

if not self.depth: 

logger.warn( 

'Origin %s: Depth is undefined. Set to depth=0.' % 

self.public_id) 

depth = 0. 

else: 

depth = self.depth.value 

 

return lat, lon, depth 

 

def get_pyrocko_event(self): 

lat, lon, depth = self.position_values() 

otime = self.time.value 

if self.creation_info: 

cat = self.creation_info.agency_id 

else: 

cat = None 

 

return event.Event( 

name=self.public_id, 

lat=lat, 

lon=lon, 

time=otime, 

depth=depth, 

catalog=cat, 

region=self.region) 

 

 

class Event(Object): 

public_id = ResourceReference.T( 

xmlstyle='attribute', xmltagname='publicID') 

description_list = List.T(EventDescription.T()) 

comment_list = List.T(Comment.T()) 

focal_mechanism_list = List.T(FocalMechanism.T()) 

amplitude_list = List.T(Amplitude.T()) 

magnitude_list = List.T(Magnitude.T()) 

station_magnitude_list = List.T(StationMagnitude.T()) 

origin_list = List.T(Origin.T()) 

pick_list = List.T(Pick.T()) 

preferred_origin_id = ResourceReference.T( 

optional=True, xmltagname='preferredOriginID') 

preferred_magnitude_id = ResourceReference.T( 

optional=True, xmltagname='preferredMagnitudeID') 

preferred_focal_mechanism_id = ResourceReference.T( 

optional=True, xmltagname='preferredFocalMechanismID') 

type = EventType.T( 

optional=True) 

type_certainty = EventTypeCertainty.T( 

optional=True) 

creation_info = CreationInfo.T( 

optional=True) 

region = Region.T( 

optional=True) 

 

def describe(self): 

return '''%s: 

origins: %i %s 

magnitudes: %i %s 

focal_machanisms: %i %s 

picks: %i 

amplitudes: %i 

station_magnitudes: %i''' % ( 

self.public_id, 

len(self.origin_list), 

'@' if self.preferred_origin_id else '-', 

len(self.magnitude_list), 

'@' if self.preferred_magnitude_id else '-', 

len(self.focal_mechanism_list), 

'@' if self.preferred_focal_mechanism_id else '-', 

len(self.pick_list), 

len(self.amplitude_list), 

len(self.station_magnitude_list)) 

 

def get_pyrocko_phase_markers(self): 

event = self.get_pyrocko_event() 

return [ 

p.get_pyrocko_phase_marker(event=event) for p in self.pick_list] 

 

def get_pyrocko_event(self): 

''' 

Convert into Pyrocko event object. 

 

Uses *preferred* origin, magnitude, and moment tensor. If no preferred 

item is specified, it picks the first from the list and emits a 

warning. 

''' 

 

origin = self.preferred_origin 

if not origin and self.origin_list: 

origin = self.origin_list[0] 

if len(self.origin_list) > 1: 

logger.warn( 

'Event %s: No preferred origin set, ' 

'more than one available, using first' % self.public_id) 

 

if not origin: 

raise QuakeMLError( 

'No origin available for event: %s' % self.public_id) 

 

ev = origin.get_pyrocko_event() 

 

foc_mech = self.preferred_focal_mechanism 

if not foc_mech and self.focal_mechanism_list: 

foc_mech = self.focal_mechanism_list[0] 

if len(self.focal_mechanism_list) > 1: 

logger.warn( 

'Event %s: No preferred focal mechanism set, ' 

'more than one available, using first' % ev.name) 

 

if foc_mech and foc_mech.moment_tensor_list: 

ev.moment_tensor = \ 

foc_mech.moment_tensor_list[0].pyrocko_moment_tensor() 

 

if len(foc_mech.moment_tensor_list) > 1: 

logger.warn( 

'more than one moment tensor available, using first') 

 

mag = None 

pref_mag = self.preferred_magnitude 

if pref_mag: 

mag = pref_mag 

elif self.magnitude_list: 

mag = self.magnitude_list[0] 

if len(self.magnitude_list) > 1: 

logger.warn( 

'Event %s: No preferred magnitude set, ' 

'more than one available, using first' % ev.name) 

 

if mag: 

ev.magnitude = mag.mag.value 

ev.magnitude_type = mag.type 

 

ev.region = self.get_effective_region() 

 

return ev 

 

def get_effective_region(self): 

if self.region: 

return self.region 

 

for desc in self.description_list: 

if desc.type in ('Flinn-Engdahl region', 'region name'): 

return desc.text 

 

return None 

 

@property 

def preferred_origin(self): 

return one_element_or_none( 

[x for x in self.origin_list 

if x.public_id == self.preferred_origin_id]) 

 

@property 

def preferred_magnitude(self): 

return one_element_or_none( 

[x for x in self.magnitude_list 

if x.public_id == self.preferred_magnitude_id]) 

 

@property 

def preferred_focal_mechanism(self): 

return one_element_or_none( 

[x for x in self.focal_mechanism_list 

if x.public_id == self.preferred_focal_mechanism_id]) 

 

 

class EventParameters(Object): 

public_id = ResourceReference.T( 

xmlstyle='attribute', xmltagname='publicID') 

comment_list = List.T(Comment.T()) 

event_list = List.T(Event.T(xmltagname='event')) 

description = Unicode.T(optional=True) 

creation_info = CreationInfo.T(optional=True) 

 

 

class QuakeML(Object): 

xmltagname = 'quakeml' 

xmlns = 'http://quakeml.org/xmlns/quakeml/1.2' 

guessable_xmlns = [xmlns, guts_xmlns] 

 

event_parameters = EventParameters.T(optional=True) 

 

def get_events(self): 

return self.event_parameters.event_list 

 

def get_pyrocko_events(self): 

''' 

Extract a list of :py:class:`pyrocko.model.Event` instances 

''' 

events = [] 

for e in self.event_parameters.event_list: 

events.append(e.get_pyrocko_event()) 

 

return events 

 

def get_pyrocko_phase_markers(self): 

markers = [] 

for e in self.event_parameters.event_list: 

markers.extend(e.get_pyrocko_phase_markers()) 

 

return markers 

 

@classmethod 

def load_xml(cls, *args, **kwargs): 

kwargs['ns_hints'] = [ 

'http://quakeml.org/xmlns/quakeml/1.2', 

'http://quakeml.org/xmlns/bed/1.2'] 

 

kwargs['ns_ignore'] = True 

 

return super(QuakeML, cls).load_xml(*args, **kwargs)