def command_init(args):
def setup(parser):
parser.add_option(
'--force', dest='force', action='store_true',
help='overwrite existing files')
parser, options, args = cl_parse('init', args, setup=setup)
if len(args) == 0:
parser.print_help()
sys.exit(1)
scenario_dims = [52, 5.4, 90.]
scenario_dims[:len(args[1:])] = map(float, args[1:])
project_dir = args[0]
logger.info('Initialising new scenario %s at %.2f, %.2f with radius %d km'
% tuple([args[0]] + scenario_dims))
scenario_dims[2] *= km
scenario.ScenarioGenerator.initialize(
project_dir, *scenario_dims, force=options.force)
gf_stores_path = op.join(project_dir, 'gf_stores')
util.ensuredir(gf_stores_path)
def __init__(self, store_dir, step, shared, block_size=None, tmp=None):
self.store = gf.store.Store(store_dir, "w")
if block_size is None:
block_size = (1, 1, 2000)
if len(self.store.config.ns) == 2:
block_size = block_size[1:]
gf.builder.Builder.__init__(self, self.store.config, step, block_size=block_size)
baseconf = self.store.get_extra("ahfullgreen")
conf = AhfullgreenConfigFull(**baseconf.items())
conf.earthmodel_1d = self.store.config.earthmodel_1d
deltat = 1.0 / self.store.config.sample_rate
conf.deltat = deltat
if "time_window_min" not in shared:
d = self.store.make_timing_params(conf.time_region[0], conf.time_region[1])
shared["time_window_min"] = d["tlenmax_vred"]
time_window_min = shared["time_window_min"]
conf.nsamples = nextpow2(int(round(time_window_min / deltat)) + 1)
self.ahfullgreen_config = conf
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
def create_editables(store_dir, config, force=False, extra=None):
try:
util.ensuredir(store_dir)
except:
raise CannotCreate('cannot create directory %s' % store_dir)
fns = []
config_fn = os.path.join(store_dir, 'config')
remove_if_exists(config_fn, force)
meta.dump(config, filename=config_fn)
fns.append(config_fn)
for sub_dir in ['extra']:
dpath = os.path.join(store_dir, sub_dir)
remake_dir(dpath, force)
if extra:
for k, v in extra.iteritems():
check_string_id(k)
fn = os.path.join(store_dir, 'extra', k)
remove_if_exists(fn, force)
meta.dump(v, filename=fn)
fns.append(fn)
return fns
def dump_data(self, engine, sources, path,
tmin=None, tmax=None, overwrite=False):
path_insar = op.join(path, 'insar')
util.ensuredir(path_insar)
tmin, tmax = self.get_time_range(sources)
tts = util.time_to_str
fn_tpl = op.join(path_insar, 'insar-scene-{track_direction}_%s_%s'
% (tts(tmin), tts(tmax)))
def scene_fn(track):
return fn_tpl.format(track_direction=track.lower())
for track in ('ascending', 'descending'):
fn = '%s.yml' % scene_fn(track)
if op.exists(fn) and not overwrite:
logger.debug('Scene exists: %s' % fn)
continue
scenes = self.get_insar_scenes(engine, sources, tmin, tmax)
for sc in scenes:
fn = scene_fn(sc.config.meta.orbit_direction)
logger.debug('Writing %s' % fn)
sc.save('%s.npz' % fn)
return [path_insar]
def dump_responses(self, path):
from pyrocko.io import stationxml
logger.debug('Writing out StationXML...')
path_responses = op.join(path, 'meta')
util.ensuredir(path_responses)
fn_stationxml = op.join(path_responses, 'stations.xml')
stations = self.station_generator.get_stations()
sxml = stationxml.FDSNStationXML.from_pyrocko_stations(stations)
sunit = {
'displacement': 'M',
'velocity': 'M/S',
'acceleration': 'M/S**2',
'counts': 'COUNTS'}[self.seismogram_quantity]
response = stationxml.Response(
instrument_sensitivity=stationxml.Sensitivity(
value=1.,
frequency=1.,
input_units=stationxml.Units(sunit),
output_units=stationxml.Units('COUNTS')),
stage_list=[])
for net, station, channel in sxml.iter_network_station_channels():
channel.response = response
sxml.dump_xml(filename=fn_stationxml)
return [path_responses]
def initialize(
cls, path,
center_lat=None, center_lon=None, radius=None,
targets=AVAILABLE_TARGETS,
force=False):
import os.path as op
if op.exists(path) and not force:
raise CannotCreate('Directory %s alread exists! May use force?'
% path)
util.ensuredir(path)
fn = op.join(path, 'scenario.yml')
logger.debug('Writing new scenario to %s' % fn)
scenario = cls()
scenario.target_generators.extend([t() for t in targets])
for gen in scenario.target_generators:
gen.update_hierarchy(scenario)
scenario.center_lat = center_lat
scenario.center_lon = center_lon
scenario.radius = radius
scenario.dump(filename=fn)
return scenario
def __init__(self, store_dir, step, shared, block_size=None, tmp=None,
force=False):
self.gfmapping = [
(MomentTensor(m=symmat6(1, 0, 0, 1, 0, 0)),
{'un': (0, -1), 'ue': (3, -1), 'uz': (5, -1)}),
(MomentTensor(m=symmat6(0, 0, 0, 0, 1, 1)),
{'un': (1, -1), 'ue': (4, -1), 'uz': (6, -1)}),
(MomentTensor(m=symmat6(0, 0, 1, 0, 0, 0)),
{'un': (2, -1), 'uz': (7, -1)}),
(MomentTensor(m=symmat6(0, 1, 0, 0, 0, 0)),
{'un': (8, -1), 'uz': (9, -1)}),
]
self.store = gf.store.Store(store_dir, 'w')
if step == 0:
block_size = (1, 1, self.store.config.ndistances)
else:
if block_size is None:
block_size = (1, 1, 51)
if len(self.store.config.ns) == 2:
block_size = block_size[1:]
gf.builder.Builder.__init__(
self, self.store.config, step, block_size=block_size, force=force)
baseconf = self.store.get_extra('qssp')
conf = QSSPConfigFull(**baseconf.items())
conf.gf_directory = pjoin(store_dir, 'qssp_green')
conf.earthmodel_1d = self.store.config.earthmodel_1d
deltat = self.store.config.deltat
if 'time_window' not in shared:
d = self.store.make_timing_params(
conf.time_region[0], conf.time_region[1],
force=force)
tmax = math.ceil(d['tmax'] / deltat) * deltat
tmin = math.floor(d['tmin'] / deltat) * deltat
shared['time_window'] = tmax - tmin
shared['tstart'] = tmin
self.tstart = shared['tstart']
conf.time_window = shared['time_window']
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
util.ensuredir(conf.gf_directory)
self.qssp_config = conf
def __init__(self, cachedir):
'''Create new cache.
:param cachedir: directory to hold the cache files.
'''
self.cachedir = cachedir
self.dircaches = {}
self.modified = set()
util.ensuredir(self.cachedir)
def __init__(self, store_dir, step, shared, block_size=None, tmp=None ):
if block_size is None:
block_size = (51,1,51)
self.store = gf.store.Store(store_dir, 'w')
gf.builder.Builder.__init__(self, self.store.config, step, block_size=block_size)
self.poel_config = self.store.get_extra('poel')
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
def get_insar_scenes(self):
from kite import Scene
if self._scenes is None:
self._scenes = []
path_insar = self.get_path('insar')
util.ensuredir(path_insar)
fns = util.select_files([path_insar], regex='\.(npz)$',
show_progress=False)
for f in fns:
self._scenes.append(Scene.load(f))
return self._scenes
def __init__(self,
store_dir,
step,
shared,
block_size=None,
tmp=None,
force=False):
self.store = gf.store.Store(store_dir, 'w')
if block_size is None:
block_size = (1, 1, 100)
if len(self.store.config.ns) == 2:
block_size = block_size[1:]
gf.builder.Builder.__init__(self,
self.store.config,
step,
block_size=block_size,
force=force)
baseconf = self.store.get_extra('qseis')
conf = QSeisConfigFull(**baseconf.items())
conf.earthmodel_1d = self.store.config.earthmodel_1d
conf.earthmodel_receiver_1d = self.store.config.earthmodel_receiver_1d
deltat = 1.0 / self.gf_config.sample_rate
if 'time_window_min' not in shared:
d = self.store.make_timing_params(conf.time_region[0],
conf.time_region[1])
shared['time_window_min'] = d['tlenmax_vred']
shared['time_start'] = d['tmin_vred']
shared['time_reduction_velocity'] = d['vred'] / km
time_window_min = shared['time_window_min']
conf.time_start = shared['time_start']
conf.time_reduction_velocity = shared['time_reduction_velocity']
conf.nsamples = nextpow2(int(round(time_window_min / deltat)) + 1)
conf.time_window = (conf.nsamples - 1) * deltat
self.qseis_config = conf
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
def command_init(args):
def setup(parser):
parser.add_option('--force',
dest='force',
action='store_true',
help='overwrite existing files')
parser.add_option('--location',
dest='location',
metavar='LAT,LON',
help='set scenario center location [deg]')
parser.add_option('--radius',
dest='radius',
metavar='RADIUS',
type=float,
help='set scenario center location [km]')
parser, options, args = cl_parse('init', args, setup=setup)
if len(args) != 1:
parser.print_help()
sys.exit(1)
if options.location:
try:
lat, lon = map(float, options.location.split(','))
except Exception:
die('expected --location=LAT,LON')
else:
lat = lon = None
if options.radius is not None:
radius = options.radius * km
else:
radius = None
project_dir = args[0]
try:
scenario.ScenarioGenerator.initialize(project_dir,
lat,
lon,
radius,
force=options.force)
gf_stores_path = op.join(project_dir, 'gf_stores')
util.ensuredir(gf_stores_path)
except scenario.CannotCreatePath as e:
die(str(e) + ' Use --force to override.')
except scenario.ScenarioError as e:
die(str(e))
def get_insar_scenes(self):
from kite import Scene
if self._scenes is None:
self._scenes = []
path_insar = self.get_path('insar')
util.ensuredir(path_insar)
fns = util.select_files([path_insar],
regex='\\.(npz)$',
show_progress=False)
for f in fns:
self._scenes.append(Scene.load(f))
return self._scenes
def dump_waveforms(self, engine, sources, path,
tmin=None, tmax=None, overwrite=False):
path_waveforms = op.join(path, 'waveforms')
util.ensuredir(path_waveforms)
path_traces = op.join(
path_waveforms,
'%(wmin_year)s',
'%(wmin_month)s',
'%(wmin_day)s',
'waveform_%(network)s_%(station)s_'
+ '%(location)s_%(channel)s_%(tmin)s_%(tmax)s.mseed')
tmin_all, tmax_all = self.get_time_range(sources)
tmin = tmin if tmin is not None else tmin_all
tmax = tmax if tmax is not None else tmax_all
tts = util.time_to_str
tinc = self.get_useful_time_increment(engine, sources)
tmin = math.floor(tmin / tinc) * tinc
tmax = math.ceil(tmax / tinc) * tinc
nwin = int(round((tmax - tmin) / tinc))
for iwin in range(nwin):
tmin_win = max(tmin, tmin + iwin*tinc)
tmax_win = min(tmax, tmin + (iwin+1)*tinc)
if tmax_win <= tmin_win:
continue
trs = self.get_waveforms(engine, sources, tmin_win, tmax_win)
try:
io.save(
trs, path_traces,
additional=dict(
wmin_year=tts(tmin_win, format='%Y'),
wmin_month=tts(tmin_win, format='%m'),
wmin_day=tts(tmin_win, format='%d'),
wmin=tts(tmin_win, format='%Y-%m-%d_%H-%M-%S'),
wmax_year=tts(tmax_win, format='%Y'),
wmax_month=tts(tmax_win, format='%m'),
wmax_day=tts(tmax_win, format='%d'),
wmax=tts(tmax_win, format='%Y-%m-%d_%H-%M-%S')),
overwrite=overwrite)
except FileSaveError as e:
logger.debug('Waveform exists %s' % e)
return [path_waveforms]
def ensure_gfstores(self, interactive=False):
if not self.stores_missing:
return
from pyrocko.gf import ws
cfg = config.config()
engine = self.get_engine()
gf_store_superdirs = engine.store_superdirs
if interactive:
print('We could not find the following Green\'s function stores:\n'
'%s\n'
'We can try to download the stores from '
'http://kinherd.org into one of the following '
'directories.'
% '\n'.join(' ' + s for s in self.stores_missing))
for idr, dr in enumerate(gf_store_superdirs):
print(' %d. %s' % ((idr+1), dr))
s = input('\nInto which directory should we download the GF '
'store(s)?\nDefault 1, (C)ancel: ')
if s in ['c', 'C']:
print('Canceled!')
sys.exit(1)
elif s == '':
s = 0
try:
s = int(s)
if s > len(gf_store_superdirs):
raise ValueError
except ValueError:
print('Invalid selection: %s' % s)
sys.exit(1)
else:
s = 1
download_dir = gf_store_superdirs[s-1]
util.ensuredir(download_dir)
logger.info('Downloading Green\'s functions stores to %s'
% download_dir)
oldwd = os.getcwd()
for store in self.stores_missing:
os.chdir(download_dir)
ws.download_gf_store(site='kinherd', store_id=store)
os.chdir(oldwd)
def ensure_gfstores(self, interactive=False):
if not self.stores_missing:
return
from pyrocko.gf import ws
cfg = config.config()
if len(cfg.gf_store_superdirs) == 0:
store_dir = op.expanduser(
op.join(config.pyrocko_dir_tmpl, 'gf_stores'))
logger.debug('Creating default gf_store_superdirs: %s' % store_dir)
util.ensuredir(store_dir)
cfg.gf_store_superdirs = [store_dir]
config.write_config(cfg)
if interactive:
print('We could not find the following Green\'s function stores:\n'
' %s\n'
'We can try to download the stores from '
' http://kinherd.org:8080 into Pyrocko\'s global GF cache.'
% '\n'.join(self.stores_missing))
for idr, dr in enumerate(cfg.gf_store_superdirs):
print(' %d. %s' % ((idr+1), dr))
s = input('\nIn which cache directory shall the GF store'
' be downloaded to?\n'
'Default 1, (C)ancel: ')
if s in ['c', 'C']:
print('Canceled!')
sys.exit(1)
elif s == '':
s = 0
try:
s = int(s)
if s > len(cfg.gf_store_superdirs):
raise ValueError
except ValueError:
print('Invalid selection: %s' % s)
sys.exit(1)
else:
s = 1
download_dir = cfg.gf_store_superdirs[s-1]
logger.info('Downloading Green\'s functions stores to %s'
% download_dir)
for store in self.stores_missing:
os.chdir(download_dir)
ws.download_gf_store(site='kinherd', store_id=store)
def ensure_gfstores(self, interactive=False):
if not self.stores_missing:
return
from pyrocko.gf import ws
cfg = config.config()
engine = self.get_engine()
gf_store_superdirs = engine.store_superdirs
if interactive:
print('We could not find the following Green\'s function stores:\n'
'%s\n'
'We can try to download the stores from '
'http://kinherd.org into one of the following '
'directories.' % '\n'.join(' ' + s
for s in self.stores_missing))
for idr, dr in enumerate(gf_store_superdirs):
print(' %d. %s' % ((idr + 1), dr))
s = input('\nInto which directory should we download the GF '
'store(s)?\nDefault 1, (C)ancel: ')
if s in ['c', 'C']:
print('Canceled!')
sys.exit(1)
elif s == '':
s = 0
try:
s = int(s)
if s > len(gf_store_superdirs):
raise ValueError
except ValueError:
print('Invalid selection: %s' % s)
sys.exit(1)
else:
s = 1
download_dir = gf_store_superdirs[s - 1]
util.ensuredir(download_dir)
logger.info('Downloading Green\'s functions stores to %s' %
download_dir)
oldwd = os.getcwd()
for store in self.stores_missing:
os.chdir(download_dir)
ws.download_gf_store(site='kinherd', store_id=store)
os.chdir(oldwd)
def initialize(cls,
path,
center_lat=None,
center_lon=None,
radius=None,
targets=AVAILABLE_TARGETS,
force=False):
"""Initialize a Scenario and create a ``scenario.yml``
:param path: Path to create the scenerio in
:type path: str
:param center_lat: Center latitude, defaults to None
:type center_lat: float, optional
:param center_lon: Center longitude, defaults to None
:type center_lon: float, optional
:param radius: Scenario's radius in [m], defaults to None
:type radius: float, optional
:param targets: Targets to thow into scenario,
defaults to AVAILABLE_TARGETS
:type targets: list of :class:`pyrocko.scenario.ScenarioTargets`,
optional
:param force: Overwrite directory, defaults to False
:type force: bool, optional
:returns: Scenario
:rtype: :class:`pyrocko.scenario.ScenarioGenerator`
"""
import os.path as op
if op.exists(path) and not force:
raise CannotCreate('Directory %s alread exists! May use force?' %
path)
util.ensuredir(path)
fn = op.join(path, 'scenario.yml')
logger.debug('Writing new scenario to %s' % fn)
scenario = cls()
scenario.target_generators.extend([t() for t in targets])
for gen in scenario.target_generators:
gen.update_hierarchy(scenario)
scenario.center_lat = center_lat
scenario.center_lon = center_lon
scenario.radius = radius
scenario.dump(filename=fn)
return scenario
def get_waveform_pile(self):
self.ensure_data()
if self._pile is None:
path_waveforms = self.get_path('waveforms')
util.ensuredir(path_waveforms)
fns = util.select_files(
[path_waveforms], show_progress=False)
self._pile = pile.Pile()
if fns:
self._pile.load_files(
fns, fileformat='mseed', show_progress=False)
return self._pile
def get_waveform_pile(self):
self.ensure_data()
if self._pile is None:
path_waveforms = self.get_path('waveforms')
util.ensuredir(path_waveforms)
fns = util.select_files([path_waveforms], show_progress=False)
self._pile = pile.Pile()
if fns:
self._pile.load_files(fns,
fileformat='mseed',
show_progress=False)
return self._pile
def ensure_data(self, engine, sources, path, tmin=None, tmax=None):
path_gnss = op.join(path, 'gnss')
util.ensuredir(path_gnss)
fn = op.join(path_gnss,
'campaign-%s.yml' % self.station_generator.network_name)
if op.exists(fn):
return
campaigns = self.get_gnss_campaigns(engine, sources, tmin, tmax)
with open(fn, 'w') as f:
for camp in campaigns:
camp.dump(stream=f)
def __init__(self, store_dir, step, shared, block_size=None, tmp=None):
if block_size is None:
block_size = (51, 1, 51)
self.store = gf.store.Store(store_dir, 'w')
gf.builder.Builder.__init__(
self, self.store.config, step, block_size=block_size)
self.poel_config = self.store.get_extra('poel')
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
def dump_data(self, engine, sources, path,
tmin=None, tmax=None, overwrite=False):
path_gnss = op.join(path, 'gnss')
util.ensuredir(path_gnss)
campaigns = self.get_gnss_campaign(
engine, sources, tmin, tmax)
fn = op.join(path_gnss,
'campaign-%s.yml' % self.station_generator.network_name)
with open(fn, 'w') as f:
for camp in campaigns:
camp.dump(stream=f)
return [fn]
def initialize(
cls, path,
center_lat=None, center_lon=None, radius=None,
targets=AVAILABLE_TARGETS,
force=False):
"""Initialize a Scenario and create a ``scenario.yml``
:param path: Path to create the scenerio in
:type path: str
:param center_lat: Center latitude, defaults to None
:type center_lat: float, optional
:param center_lon: Center longitude, defaults to None
:type center_lon: float, optional
:param radius: Scenario's radius in [m], defaults to None
:type radius: float, optional
:param targets: Targets to thow into scenario,
defaults to AVAILABLE_TARGETS
:type targets: list of :class:`pyrocko.scenario.ScenarioTargets`,
optional
:param force: Overwrite directory, defaults to False
:type force: bool, optional
:returns: Scenario
:rtype: :class:`pyrocko.scenario.ScenarioGenerator`
"""
import os.path as op
if op.exists(path) and not force:
raise CannotCreate('Directory %s alread exists! May use force?'
% path)
util.ensuredir(path)
fn = op.join(path, 'scenario.yml')
logger.debug('Writing new scenario to %s' % fn)
scenario = cls()
scenario.target_generators.extend([t() for t in targets])
for gen in scenario.target_generators:
gen.update_hierarchy(scenario)
scenario.center_lat = center_lat
scenario.center_lon = center_lon
scenario.radius = radius
scenario.dump(filename=fn)
return scenario
def create_scenario(self,
force=False,
interactive=True,
gf_store_superdirs=None,
make_map=True):
logger.info('Creating scenario...')
scenario = self.get_scenario()
self.create_project_dir(force)
util.ensuredir(self.get_gf_stores_dir())
data_dir = op.join(self.project_dir, self.data_dir)
util.ensuredir(data_dir)
scenario.dump(filename=op.join(data_dir, 'scenario.yml'))
if gf_store_superdirs is None:
engine1 = gf.LocalEngine(
use_config=True, store_superdirs=[self.get_gf_stores_dir()])
else:
engine1 = gf.LocalEngine(use_config=False,
store_superdirs=gf_store_superdirs)
scenario.init_modelling(engine=engine1)
scenario.ensure_gfstores(interactive=interactive)
self.symlink_gfstores(engine1)
engine2 = gf.LocalEngine(use_config=False,
store_superdirs=[self.get_gf_stores_dir()])
scenario.init_modelling(engine=engine2)
scenario.dump_data(path=data_dir)
if make_map:
scenario.make_map(op.join(self.project_dir, 'scenario_map.pdf'))
shutil.move(op.join(data_dir, 'sources.yml'),
op.join(data_dir, 'scenario_sources.yml'))
markers = scenario.get_onsets()
marker_path = op.join(data_dir, 'picks', 'picks.markers')
if markers:
util.ensuredirs(marker_path)
pmarker.save_markers(markers, marker_path)
def setUpClass(cls):
cls.cwd = os.getcwd()
cls.run_dir = tutorial_run_dir()
util.ensuredir(cls.run_dir)
cls.dn = open(os.devnull, 'w')
sys.stdout = cls.dn
os.chdir(cls.run_dir)
cls.snuffle_orig = snuffler.snuffle
def snuffle_dummy(*args, **kwargs):
pass
snuffler.snuffle = snuffle_dummy
cls.show_progress_force_off_orig = pile.show_progress_force_off
pile.show_progress_force_off = True
def setUpClass(cls):
cls.cwd = os.getcwd()
cls.run_dir = tutorial_run_dir()
util.ensuredir(cls.run_dir)
cls.dn = open(os.devnull, 'w')
sys.stdout = cls.dn
os.chdir(cls.run_dir)
cls.snuffle_orig = snuffler.snuffle
def snuffle_dummy(*args, **kwargs):
pass
snuffler.snuffle = snuffle_dummy
cls.show_progress_force_off_orig = pile.show_progress_force_off
pile.show_progress_force_off = True
def dump_data(self, path, tmin=None, tmax=None, overwrite=False):
self.source_generator.dump_data(path)
meta_dir = op.join(path, 'meta')
util.ensuredir(meta_dir)
model.station.dump_stations(
self.get_stations(), op.join(meta_dir, 'stations.txt'))
model.station.dump_kml(
self.get_stations(), op.join(meta_dir, 'stations.kml'))
dump_readme(path)
def dump_data(gen, *a, **kw):
logger.info('Creating files from %s...' % gen.__class__.__name__)
return gen.dump_data(self._engine, self.get_sources(), *a, **kw)
return dump_data
def setUpClass(cls):
from matplotlib import pyplot as plt
cls.cwd = os.getcwd()
cls.run_dir = tutorial_run_dir()
util.ensuredir(cls.run_dir)
cls.dn = open(os.devnull, 'w')
sys.stdout = cls.dn
os.chdir(cls.run_dir)
cls._mpl_show_orig = plt.show
plt.show = noop
cls._snuffle_orig = snuffler.snuffle
snuffler.snuffle = noop
cls._show_progress_force_off_orig = pile.show_progress_force_off
pile.show_progress_force_off = True
def setUpClass(cls):
from matplotlib import pyplot as plt
cls.cwd = os.getcwd()
cls.run_dir = tutorial_run_dir()
util.ensuredir(cls.run_dir)
cls.dn = open(os.devnull, 'w')
sys.stdout = cls.dn
os.chdir(cls.run_dir)
cls._mpl_show_orig = plt.show
plt.show = noop
cls._snuffle_orig = snuffler.snuffle
snuffler.snuffle = noop
cls._show_progress_force_off_orig = pile.show_progress_force_off
pile.show_progress_force_off = True
def __init__(self, store_dir, step, shared, block_size=None, tmp=None,
force=False):
self.store = gf.store.Store(store_dir, 'w')
if block_size is None:
block_size = (1, 1, 100)
if len(self.store.config.ns) == 2:
block_size = block_size[1:]
gf.builder.Builder.__init__(
self, self.store.config, step, block_size=block_size, force=force)
baseconf = self.store.get_extra('qseis')
conf = QSeisConfigFull(**baseconf.items())
conf.earthmodel_1d = self.store.config.earthmodel_1d
conf.earthmodel_receiver_1d = self.store.config.earthmodel_receiver_1d
deltat = 1.0/self.gf_config.sample_rate
if 'time_window_min' not in shared:
d = self.store.make_timing_params(
conf.time_region[0], conf.time_region[1],
force=force)
shared['time_window_min'] = d['tlenmax_vred']
shared['time_start'] = d['tmin_vred']
shared['time_reduction_velocity'] = d['vred'] / km
time_window_min = shared['time_window_min']
conf.time_start = shared['time_start']
conf.time_reduction_velocity = shared['time_reduction_velocity']
conf.nsamples = nextpow2(int(round(time_window_min / deltat)) + 1)
conf.time_window = (conf.nsamples-1)*deltat
self.qseis_config = conf
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
def __init__(self, store_dir, step, shared, block_size=None, tmp=None ):
self.gfmapping = [
(MomentTensor( m=symmat6(1,0,0,1,0,0) ), {'un': (0, -1), 'ue': (3, -1), 'uz': (5, -1) }),
(MomentTensor( m=symmat6(0,0,0,0,1,1) ), {'un': (1, -1), 'ue': (4, -1), 'uz': (6, -1) }),
(MomentTensor( m=symmat6(0,0,1,0,0,0) ), {'un': (2, -1), 'uz': (7, -1) }),
(MomentTensor( m=symmat6(0,1,0,0,0,0) ), {'un': (8, -1), 'uz': (9, -1) }),
]
self.store = gf.store.Store(store_dir, 'w')
if step == 0:
block_size = (1,1,self.store.config.ndistances)
else:
if block_size is None:
block_size = (1,1,51)
if len(self.store.config.ns) == 2:
block_size = block_size[1:]
gf.builder.Builder.__init__(self, self.store.config, step, block_size=block_size)
baseconf = self.store.get_extra('qssp')
conf = QSSPConfigFull(**baseconf.items())
conf.gf_directory = pjoin(store_dir, 'qssp_green')
conf.earthmodel_1d = self.store.config.earthmodel_1d
if 'time_window' not in shared:
d = self.store.make_timing_params(conf.time_region[0], conf.time_region[1])
shared['time_window'] = d['tmax']
shared['tstart'] = d['tmin']
deltat = self.store.config.deltat
conf.time_window = shared['time_window']
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
util.ensuredir(conf.gf_directory)
self.qssp_config = conf
def __init__(self, store_dir, step, shared, block_size=None, tmp=None ):
self.gfmapping = [
(MomentTensor( m=symmat6(1,0,0,1,0,0) ), {'r': (0, +1), 't': (3, +1), 'z': (5, +1) }),
(MomentTensor( m=symmat6(0,0,0,0,1,1) ), {'r': (1, +1), 't': (4, +1), 'z': (6, +1) }),
(MomentTensor( m=symmat6(0,0,1,0,0,0) ), {'r': (2, +1), 'z': (7, +1) }),
(MomentTensor( m=symmat6(0,1,0,0,0,0) ), {'r': (8, +1), 'z': (9, +1) })]
self.store = gf.store.Store(store_dir, 'w')
if block_size is None:
block_size = (1,1,100)
if len(self.store.config.ns) == 2:
block_size = block_size[1:]
gf.builder.Builder.__init__(self, self.store.config, step, block_size=block_size)
baseconf = self.store.get_extra('qseis')
conf = QSeisConfigFull(**baseconf.items())
conf.earthmodel_1d = self.store.config.earthmodel_1d
deltat = 1.0/self.gf_config.sample_rate
if 'time_window_min' not in shared:
d = self.store.make_timing_params(conf.time_region[0], conf.time_region[1])
shared['time_window_min'] = d['tlenmax_vred']
shared['time_start'] = d['tmin_vred']
shared['time_reduction_velocity'] = d['vred'] / km
time_window_min = shared['time_window_min']
conf.time_start = shared['time_start']
conf.time_reduction_velocity = shared['time_reduction_velocity']
conf.nsamples = nextpow2(int(round(time_window_min / deltat)) + 1)
conf.time_window = (conf.nsamples-1)*deltat
self.qseis_config = conf
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
def create(store_dir, deltat, nrecords, force=False):
try:
util.ensuredir(store_dir)
except:
raise CannotCreate('cannot create directory %s' % store_dir)
index_fn = BaseStore.index_fn_(store_dir)
data_fn = BaseStore.data_fn_(store_dir)
for fn in (index_fn, data_fn):
remove_if_exists(fn, force)
with open(index_fn, 'wb') as f:
f.write(struct.pack(gf_store_header_fmt, nrecords, deltat))
records = num.zeros(nrecords, dtype=gf_record_dtype)
records.tofile(f)
with open(data_fn, 'wb') as f:
f.write('\0' * 32)
def create(store_dir, deltat, nrecords, force=False):
try:
util.ensuredir(store_dir)
except:
raise CannotCreate('cannot create directory %s' % store_dir)
index_fn = BaseStore.index_fn_(store_dir)
data_fn = BaseStore.data_fn_(store_dir)
for fn in (index_fn, data_fn):
remove_if_exists(fn, force)
with open(index_fn, 'wb') as f:
f.write(struct.pack(gf_store_header_fmt, nrecords, deltat))
records = num.zeros(nrecords, dtype=gf_record_dtype)
records.tofile(f)
with open(data_fn, 'wb') as f:
f.write('\0' * 32)
def dump_data(self,
engine,
sources,
path,
tmin=None,
tmax=None,
overwrite=False):
path_gnss = op.join(path, 'gnss')
util.ensuredir(path_gnss)
campaigns = self.get_gnss_campaign(engine, sources, tmin, tmax)
fn = op.join(path_gnss,
'campaign-%s.yml' % self.station_generator.network_name)
with open(fn, 'w') as f:
for camp in campaigns:
camp.dump(stream=f)
return [fn]
def setUpClass(cls):
from matplotlib import pyplot as plt
cls.cwd = os.getcwd()
cls.run_dir = tutorial_run_dir()
util.ensuredir(cls.run_dir)
cls.dn = open(os.devnull, 'w')
sys.stdout = cls.dn
os.chdir(cls.run_dir)
plt.show_orig_testex = plt.show
plt.show = noop
snuffler.snuffle_orig_testex = snuffler.snuffle
snuffler.snuffle = noop
cls._show_progress_force_off_orig = pile.show_progress_force_off
pile.show_progress_force_off = True
orthodrome.raise_if_slow_path_contains_points = True
def __init__(self, store_dir, step, shared, block_size=None, tmp=None):
self.store = gf.store.Store(store_dir, 'w')
if block_size is None:
block_size = (1, 1, 2000)
if len(self.store.config.ns) == 2:
block_size = block_size[1:]
gf.builder.Builder.__init__(self,
self.store.config,
step,
block_size=block_size)
baseconf = self.store.get_extra('ahfullgreen')
conf = AhfullgreenConfigFull(**baseconf.items())
conf.earthmodel_1d = self.store.config.earthmodel_1d
deltat = 1.0 / self.store.config.sample_rate
conf.deltat = deltat
if 'time_window_min' not in shared:
d = self.store.make_timing_params(conf.time_region[0],
conf.time_region[1])
shared['time_window_min'] = d['tlenmax_vred']
time_window_min = shared['time_window_min']
conf.nsamples = nextpow2(int(round(time_window_min / deltat)) + 1)
self.ahfullgreen_config = conf
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
def __init__(self, config, hypers=False):
self.model = None
self._like_name = 'like'
self.fixed_params = {}
self.composites = {}
self.hyperparams = {}
logger.info('Analysing problem ...')
logger.info('---------------------\n')
# Load events
if config.event is None:
logger.warning('Found no event information!')
raise AttributeError('Problem config has no event information!')
else:
self.event = config.event
nsubevents = len(config.subevents)
self.subevents = config.subevents
if nsubevents > 0:
logger.info('Found %i subevents.' % nsubevents)
self.config = config
mode = self.config.problem_config.mode
outfolder = os.path.join(self.config.project_dir, mode)
if hypers:
outfolder = os.path.join(outfolder, 'hypers')
self.outfolder = outfolder
util.ensuredir(self.outfolder)
def process_event(ievent, g_data_id):
environment, force, preserve, status, nparallel = \
g_state[g_data_id]
config = environment.get_config()
event_name = environment.get_selected_event_names()[ievent]
nevents = environment.nevents_selected
tstart = time.time()
ds = config.get_dataset(event_name)
event = ds.get_event()
problem = config.get_problem(event)
synt = ds.synthetic_test
if synt:
problem.base_source = problem.get_source(synt.get_x())
check_problem(problem)
rundir = expand_template(
config.rundir_template,
dict(problem_name=problem.name))
environment.set_rundir_path(rundir)
if op.exists(rundir):
if preserve:
nold_rundirs = len(glob.glob(rundir + '*'))
shutil.move(rundir, rundir+'-old-%d' % (nold_rundirs))
elif force:
shutil.rmtree(rundir)
else:
logger.warn('Skipping problem "%s": rundir already exists: %s' %
(problem.name, rundir))
return
util.ensuredir(rundir)
logger.info(
'Starting event %i / %i' % (ievent+1, nevents))
logger.info('Rundir: %s' % rundir)
logger.info('Analysing problem "%s".' % problem.name)
for analyser_conf in config.analyser_configs:
analyser = analyser_conf.get_analyser()
analyser.analyse(problem, ds)
basepath = config.get_basepath()
config.change_basepath(rundir)
guts.dump(config, filename=op.join(rundir, 'config.yaml'))
config.change_basepath(basepath)
optimiser = config.optimiser_config.get_optimiser()
optimiser.init_bootstraps(problem)
problem.dump_problem_info(rundir)
monitor = None
if status == 'state':
monitor = GrondMonitor.watch(rundir)
xs_inject = None
synt = ds.synthetic_test
if synt and synt.inject_solution:
xs_inject = synt.get_x()[num.newaxis, :]
try:
if xs_inject is not None:
from .optimisers import highscore
if not isinstance(optimiser, highscore.HighScoreOptimiser):
raise GrondError(
'Optimiser does not support injections.')
optimiser.sampler_phases[0:0] = [
highscore.InjectionSamplerPhase(xs_inject=xs_inject)]
optimiser.optimise(
problem,
rundir=rundir)
harvest(rundir, problem, force=True)
except BadProblem as e:
logger.error(str(e))
except GrondError as e:
logger.error(str(e))
finally:
if monitor:
monitor.terminate()
tstop = time.time()
logger.info(
'Stop %i / %i (%g min)' % (ievent+1, nevents, (tstop - tstart)/60.))
logger.info(
'Done with problem "%s", rundir is "%s".' % (problem.name, rundir))
def __init__(self, path, engine):
self._scenario_suffix = 'scenario'
self._path = path
util.ensuredir(self._path)
self._engine = engine
self._load_scenarios()
def __init__(self, path, engine):
self._scenario_suffix = 'scenario'
self._path = path
util.ensuredir(self._path)
self._engine = engine
self._load_scenarios()
def sample(step, problem):
"""
Sample solution space with the previously initalised algorithm.
Parameters
----------
step : :class:`SMC` or :class:`pymc3.metropolis.Metropolis`
from problem.init_sampler()
problem : :class:`Problem` with characteristics of problem to solve
"""
sc = problem.config.sampler_config
pa = sc.parameters
if hasattr(pa, 'update_covariances'):
if pa.update_covariances:
update = problem
else:
update = None
if sc.name == 'Metropolis':
logger.info('... Starting Metropolis ...\n')
ensuredir(problem.outfolder)
sampler.metropolis_sample(
n_steps=pa.n_steps,
step=step,
progressbar=sc.progressbar,
buffer_size=sc.buffer_size,
homepath=problem.outfolder,
burn=pa.burn,
thin=pa.thin,
model=problem.model,
n_jobs=pa.n_jobs,
rm_flag=pa.rm_flag)
elif sc.name == 'SMC':
logger.info('... Starting SMC ...\n')
sampler.smc_sample(
pa.n_steps,
step=step,
progressbar=sc.progressbar,
model=problem.model,
n_jobs=pa.n_jobs,
stage=pa.stage,
update=update,
homepath=problem.outfolder,
buffer_size=sc.buffer_size,
rm_flag=pa.rm_flag)
elif sc.name == 'PT':
logger.info('... Starting Parallel Tempering ...\n')
sampler.pt_sample(
step=step,
n_chains=pa.n_chains,
n_samples=pa.n_samples,
swap_interval=pa.swap_interval,
beta_tune_interval=pa.beta_tune_interval,
n_workers_posterior=pa.n_chains_posterior,
homepath=problem.outfolder,
progressbar=sc.progressbar,
buffer_size=sc.buffer_size,
model=problem.model,
rm_flag=pa.rm_flag)
else:
logger.error('Sampler "%s" not implemented.' % sc.name)
def estimate_hypers(step, problem):
"""
Get initial estimates of the hyperparameters
"""
from beat.sampler.base import iter_parallel_chains, init_stage, \
init_chain_hypers
logger.info('... Estimating hyperparameters ...')
pc = problem.config.problem_config
sc = problem.config.hyper_sampler_config
pa = sc.parameters
name = problem.outfolder
ensuredir(name)
stage_handler = TextStage(problem.outfolder)
chains, step, update = init_stage(
stage_handler=stage_handler,
step=step,
stage=0,
progressbar=sc.progressbar,
model=problem.model,
rm_flag=pa.rm_flag)
# setting stage to 1 otherwise only one sample
step.stage = 1
step.n_steps = pa.n_steps
with problem.model:
mtrace = iter_parallel_chains(
draws=pa.n_steps,
chains=chains,
step=step,
stage_path=stage_handler.stage_path(1),
progressbar=sc.progressbar,
model=problem.model,
n_jobs=pa.n_jobs,
initializer=init_chain_hypers,
initargs=(problem,),
buffer_size=sc.buffer_size,
chunksize=int(pa.n_chains / pa.n_jobs))
for v, i in pc.hyperparameters.iteritems():
d = mtrace.get_values(
v, combine=True, burn=int(pa.n_steps * pa.burn),
thin=pa.thin, squeeze=True)
lower = num.floor(d.min()) - 2.
upper = num.ceil(d.max()) + 2.
logger.info('Updating hyperparameter %s from %f, %f to %f, %f' % (
v, i.lower, i.upper, lower, upper))
pc.hyperparameters[v].lower = num.atleast_1d(lower)
pc.hyperparameters[v].upper = num.atleast_1d(upper)
pc.hyperparameters[v].testvalue = num.atleast_1d((upper + lower) / 2.)
config_file_name = 'config_' + pc.mode + '.yaml'
conf_out = os.path.join(problem.config.project_dir, config_file_name)
problem.config.problem_config = pc
bconfig.dump(problem.config, filename=conf_out)
def __init__(self, store_dir, step, shared, block_size=None, tmp=None,
force=False):
self.store = gf.store.Store(store_dir, 'w')
storeconf = self.store.config
if step == 0:
block_size = (1, 1, storeconf.ndistances)
else:
if block_size is None:
block_size = (1, 1, 1) # QSeisR does only allow one receiver
if len(storeconf.ns) == 2:
block_size = block_size[1:]
gf.builder.Builder.__init__(
self, storeconf, step, block_size=block_size)
baseconf = self.store.get_extra('qseis2d')
conf_s = QSeisSConfigFull(**baseconf.qseis_s_config.items())
conf_r = QSeisRConfigFull(**baseconf.qseis_r_config.items())
conf_s.earthmodel_1d = storeconf.earthmodel_1d
if storeconf.earthmodel_receiver_1d is not None:
conf_r.earthmodel_receiver_1d = \
storeconf.earthmodel_receiver_1d
else:
conf_r.earthmodel_receiver_1d = \
storeconf.earthmodel_1d.extract(
depth_max='moho')
# depth_max=conf_s.receiver_basement_depth*km)
deltat = 1.0 / self.gf_config.sample_rate
if 'time_window_min' not in shared:
d = self.store.make_timing_params(
baseconf.time_region[0], baseconf.time_region[1],
force=force)
shared['time_window_min'] = float(
num.ceil(d['tlenmax'] / self.gf_config.sample_rate) *
self.gf_config.sample_rate)
shared['time_reduction'] = d['tmin_vred']
time_window_min = shared['time_window_min']
conf_s.nsamples = nextpow2(int(round(time_window_min / deltat)) + 1)
conf_s.time_window = (conf_s.nsamples - 1) * deltat
conf_r.time_reduction = shared['time_reduction']
if step == 0:
if 'slowness_window' not in shared:
if conf_s.calc_slowness_window:
phases = [
storeconf.tabulated_phases[i].phases
for i in range(len(
storeconf.tabulated_phases))]
all_phases = []
map(all_phases.extend, phases)
mean_source_depth = num.mean((
storeconf.source_depth_min,
storeconf.source_depth_max))
arrivals = conf_s.earthmodel_1d.arrivals(
phases=all_phases,
distances=num.linspace(
conf_s.receiver_min_distance,
conf_s.receiver_max_distance,
100) * cake.m2d,
zstart=mean_source_depth)
ps = num.array(
[arrivals[i].p for i in range(len(arrivals))])
slownesses = ps / (cake.r2d * cake.d2m / km)
shared['slowness_window'] = (0.,
0.,
1.1 * float(slownesses.max()),
1.3 * float(slownesses.max()))
else:
shared['slowness_window'] = conf_s.slowness_window
conf_s.slowness_window = shared['slowness_window']
self.qseis_s_config = conf_s
self.qseis_r_config = conf_r
self.qseis_baseconf = baseconf
self.tmp = tmp
if self.tmp is not None:
util.ensuredir(self.tmp)
util.ensuredir(baseconf.gf_directory)
def main():
parser = OptionParser(usage=usage, description=description)
parser.add_option('--force',
dest='force',
action='store_true',
default=False,
help='allow recreation of output <directory>')
parser.add_option('--debug',
dest='debug',
action='store_true',
default=False,
help='print debugging information to stderr')
parser.add_option('--dry-run',
dest='dry_run',
action='store_true',
default=False,
help='show available stations/channels and exit '
'(do not download waveforms)')
parser.add_option('--continue',
dest='continue_',
action='store_true',
default=False,
help='continue download after a accident')
parser.add_option('--local-data',
dest='local_data',
action='append',
help='add file/directory with local data')
parser.add_option('--local-stations',
dest='local_stations',
action='append',
help='add local stations file')
parser.add_option('--selection',
dest='selection_file',
action='append',
help='add local stations file')
parser.add_option(
'--local-responses-resp',
dest='local_responses_resp',
action='append',
help='add file/directory with local responses in RESP format')
parser.add_option('--local-responses-pz',
dest='local_responses_pz',
action='append',
help='add file/directory with local pole-zero responses')
parser.add_option(
'--local-responses-stationxml',
dest='local_responses_stationxml',
help='add file with local response information in StationXML format')
parser.add_option(
'--window',
dest='window',
default='full',
help='set time window to choose [full, p, "<time-start>,<time-end>"'
'] (time format is YYYY-MM-DD HH:MM:SS)')
parser.add_option(
'--out-components',
choices=['enu', 'rtu'],
dest='out_components',
default='rtu',
help='set output component orientations to radial-transverse-up [rtu] '
'(default) or east-north-up [enu]')
parser.add_option('--out-units',
choices=['M', 'M/S', 'M/S**2'],
dest='output_units',
default='M',
help='set output units to displacement "M" (default),'
' velocity "M/S" or acceleration "M/S**2"')
parser.add_option(
'--padding-factor',
type=float,
default=3.0,
dest='padding_factor',
help='extend time window on either side, in multiples of 1/<fmin_hz> '
'(default: 5)')
parser.add_option(
'--zero-padding',
dest='zero_pad',
action='store_true',
default=False,
help='Extend traces by zero-padding if clean restitution requires'
'longer windows')
parser.add_option(
'--credentials',
dest='user_credentials',
action='append',
default=[],
metavar='SITE,USER,PASSWD',
help='user credentials for specific site to access restricted data '
'(this option can be repeated)')
parser.add_option(
'--token',
dest='auth_tokens',
metavar='SITE,FILENAME',
action='append',
default=[],
help='user authentication token for specific site to access '
'restricted data (this option can be repeated)')
parser.add_option(
'--sites',
dest='sites',
metavar='SITE1,SITE2,...',
default='geofon,iris,orfeus',
help='sites to query (available: %s, default: "%%default"' %
', '.join(g_sites_available))
parser.add_option(
'--band-codes',
dest='priority_band_code',
metavar='V,L,M,B,H,S,E,...',
default='B,H',
help='select and prioritize band codes (default: %default)')
parser.add_option(
'--instrument-codes',
dest='priority_instrument_code',
metavar='H,L,G,...',
default='H,L',
help='select and prioritize instrument codes (default: %default)')
parser.add_option('--radius-min',
dest='radius_min',
metavar='VALUE',
default=0.0,
type=float,
help='minimum radius [km]')
parser.add_option('--nstations-wanted',
dest='nstations_wanted',
metavar='N',
type=int,
help='number of stations to select initially')
(options, args) = parser.parse_args(sys.argv[1:])
print('Parsed arguments:', args)
if len(args) not in (10, 7, 6):
parser.print_help()
sys.exit(1)
if options.debug:
util.setup_logging(program_name, 'debug')
else:
util.setup_logging(program_name, 'info')
if options.local_responses_pz and options.local_responses_resp:
logger.critical('cannot use local responses in PZ and RESP '
'format at the same time')
sys.exit(1)
n_resp_opt = 0
for resp_opt in (options.local_responses_pz, options.local_responses_resp,
options.local_responses_stationxml):
if resp_opt:
n_resp_opt += 1
if n_resp_opt > 1:
logger.critical('can only handle local responses from either PZ or '
'RESP or StationXML. Cannot yet merge different '
'response formats.')
sys.exit(1)
if options.local_responses_resp and not options.local_stations:
logger.critical('--local-responses-resp can only be used '
'when --stations is also given.')
sys.exit(1)
try:
ename = ''
magnitude = None
mt = None
if len(args) == 10:
time = util.str_to_time(args[1] + ' ' + args[2])
lat = float(args[3])
lon = float(args[4])
depth = float(args[5]) * km
iarg = 6
elif len(args) == 7:
if args[2].find(':') == -1:
sname_or_date = None
lat = float(args[1])
lon = float(args[2])
event = None
time = None
else:
sname_or_date = args[1] + ' ' + args[2]
iarg = 3
elif len(args) == 6:
sname_or_date = args[1]
iarg = 2
if len(args) in (7, 6) and sname_or_date is not None:
events = get_events_by_name_or_date([sname_or_date],
catalog=geofon)
if len(events) == 0:
logger.critical('no event found')
sys.exit(1)
elif len(events) > 1:
logger.critical('more than one event found')
sys.exit(1)
event = events[0]
time = event.time
lat = event.lat
lon = event.lon
depth = event.depth
ename = event.name
magnitude = event.magnitude
mt = event.moment_tensor
radius = float(args[iarg]) * km
fmin = float(args[iarg + 1])
sample_rate = float(args[iarg + 2])
eventname = args[iarg + 3]
cwd = str(sys.argv[1])
event_dir = op.join(cwd, 'data', 'events', eventname)
output_dir = op.join(event_dir, 'waveforms')
except:
raise
parser.print_help()
sys.exit(1)
if options.force and op.isdir(event_dir):
if not options.continue_:
shutil.rmtree(event_dir)
if op.exists(event_dir) and not options.continue_:
logger.critical(
'directory "%s" exists. Delete it first or use the --force option'
% event_dir)
sys.exit(1)
util.ensuredir(output_dir)
if time is not None:
event = model.Event(time=time,
lat=lat,
lon=lon,
depth=depth,
name=ename,
magnitude=magnitude,
moment_tensor=mt)
if options.window == 'full':
if event is None:
logger.critical('need event for --window=full')
sys.exit(1)
low_velocity = 1500.
timewindow = VelocityWindow(low_velocity,
tpad=options.padding_factor / fmin)
tmin, tmax = timewindow(time, radius, depth)
elif options.window == 'p':
if event is None:
logger.critical('need event for --window=p')
sys.exit(1)
phases = list(map(cake.PhaseDef, 'P p'.split()))
emod = cake.load_model()
tpad = options.padding_factor / fmin
timewindow = PhaseWindow(emod, phases, -tpad, tpad)
arrivaltimes = []
for dist in num.linspace(0, radius, 20):
try:
arrivaltimes.extend(timewindow(time, dist, depth))
except NoArrival:
pass
if not arrivaltimes:
logger.error('required phase arrival not found')
sys.exit(1)
tmin = min(arrivaltimes)
tmax = max(arrivaltimes)
else:
try:
stmin, stmax = options.window.split(',')
tmin = util.str_to_time(stmin.strip())
tmax = util.str_to_time(stmax.strip())
timewindow = FixedWindow(tmin, tmax)
except ValueError:
logger.critical('invalid argument to --window: "%s"' %
options.window)
sys.exit(1)
if event is not None:
event.name = eventname
tfade = tfade_factor / fmin
tpad = tfade
tmin -= tpad
tmax += tpad
tinc = None
priority_band_code = options.priority_band_code.split(',')
for s in priority_band_code:
if len(s) != 1:
logger.critical('invalid band code: %s' % s)
priority_instrument_code = options.priority_instrument_code.split(',')
for s in priority_instrument_code:
if len(s) != 1:
logger.critical('invalid instrument code: %s' % s)
station_query_conf = dict(latitude=lat,
longitude=lon,
minradius=options.radius_min * km * cake.m2d,
maxradius=radius * cake.m2d,
channel=','.join('%s??' % s
for s in priority_band_code))
target_sample_rate = sample_rate
fmax = target_sample_rate
# target_sample_rate = None
# priority_band_code = ['H', 'B', 'M', 'L', 'V', 'E', 'S']
priority_units = ['M/S', 'M', 'M/S**2']
# output_units = 'M'
sites = [x.strip() for x in options.sites.split(',') if x.strip()]
for site in sites:
if site not in g_sites_available:
logger.critical('unknown FDSN site: %s' % site)
sys.exit(1)
for s in options.user_credentials:
try:
site, user, passwd = s.split(',')
g_user_credentials[site] = user, passwd
except ValueError:
logger.critical('invalid format for user credentials: "%s"' % s)
sys.exit(1)
for s in options.auth_tokens:
try:
site, token_filename = s.split(',')
with open(token_filename, 'r') as f:
g_auth_tokens[site] = f.read()
except (ValueError, OSError, IOError):
logger.critical('cannot get token from file: %s' % token_filename)
sys.exit(1)
fn_template0 = \
'data_%(network)s.%(station)s.%(location)s.%(channel)s_%(tmin)s.mseed'
fn_template_raw = op.join(output_dir, 'raw', fn_template0)
fn_stations_raw = op.join(output_dir, 'stations.raw.txt')
fn_template_rest = op.join(output_dir, 'rest', fn_template0)
fn_commandline = op.join(output_dir, 'beatdown.command')
ftap = (ffade_factors[0] * fmin, fmin, fmax, ffade_factors[1] * fmax)
# chapter 1: download
sxs = []
for site in sites:
try:
extra_args = {
'iris': dict(matchtimeseries=True),
}.get(site, {})
extra_args.update(station_query_conf)
if site == 'geonet':
extra_args.update(starttime=tmin, endtime=tmax)
else:
extra_args.update(startbefore=tmax,
endafter=tmin,
includerestricted=(site in g_user_credentials
or site in g_auth_tokens))
logger.info('downloading channel information (%s)' % site)
sx = fdsn.station(site=site,
format='text',
level='channel',
**extra_args)
except fdsn.EmptyResult:
logger.error('No stations matching given criteria. (%s)' % site)
sx = None
if sx is not None:
sxs.append(sx)
if all(sx is None for sx in sxs) and not options.local_data:
sys.exit(1)
nsl_to_sites = defaultdict(list)
nsl_to_station = {}
if options.selection_file:
logger.info('using stations from stations file!')
stations = []
for fn in options.selection_file:
stations.extend(model.load_stations(fn))
nsls_selected = set(s.nsl() for s in stations)
else:
nsls_selected = None
for sx, site in zip(sxs, sites):
site_stations = sx.get_pyrocko_stations()
for s in site_stations:
nsl = s.nsl()
nsl_to_sites[nsl].append(site)
if nsl not in nsl_to_station:
if nsls_selected:
if nsl in nsls_selected:
nsl_to_station[nsl] = s
else:
nsl_to_station[
nsl] = s # using first site with this station
logger.info('number of stations found: %i' % len(nsl_to_station))
# station weeding
if options.nstations_wanted:
nsls_selected = None
stations_all = [
nsl_to_station[nsl_] for nsl_ in sorted(nsl_to_station.keys())
]
for s in stations_all:
s.set_event_relative_data(event)
stations_selected = weeding.weed_stations(stations_all,
options.nstations_wanted)[0]
nsls_selected = set(s.nsl() for s in stations_selected)
logger.info('number of stations selected: %i' % len(nsls_selected))
if tinc is None:
tinc = 3600.
have_data = set()
if options.continue_:
fns = glob.glob(fn_template_raw % starfill())
p = pile.make_pile(fns)
else:
fns = []
have_data_site = {}
could_have_data_site = {}
for site in sites:
have_data_site[site] = set()
could_have_data_site[site] = set()
available_through = defaultdict(set)
it = 0
nt = int(math.ceil((tmax - tmin) / tinc))
for it in range(nt):
tmin_win = tmin + it * tinc
tmax_win = min(tmin + (it + 1) * tinc, tmax)
logger.info('time window %i/%i (%s - %s)' %
(it + 1, nt, util.tts(tmin_win), util.tts(tmax_win)))
have_data_this_window = set()
if options.continue_:
trs_avail = p.all(tmin=tmin_win, tmax=tmax_win, load_data=False)
for tr in trs_avail:
have_data_this_window.add(tr.nslc_id)
for site, sx in zip(sites, sxs):
if sx is None:
continue
selection = []
channels = sx.choose_channels(
target_sample_rate=target_sample_rate,
priority_band_code=priority_band_code,
priority_units=priority_units,
priority_instrument_code=priority_instrument_code,
timespan=(tmin_win, tmax_win))
for nslc in sorted(channels.keys()):
if nsls_selected is not None and nslc[:3] not in nsls_selected:
continue
could_have_data_site[site].add(nslc)
if nslc not in have_data_this_window:
channel = channels[nslc]
if event:
lat_, lon_ = event.lat, event.lon
else:
lat_, lon_ = lat, lon
try:
dist = orthodrome.distance_accurate50m_numpy(
lat_, lon_, channel.latitude.value,
channel.longitude.value)
except:
dist = orthodrome.distance_accurate50m_numpy(
lat_, lon_, channel.latitude, channel.longitude)
if event:
depth_ = event.depth
time_ = event.time
else:
depth_ = None
time_ = None
tmin_, tmax_ = timewindow(time_, dist, depth_)
tmin_this = tmin_ - tpad
tmax_this = float(tmax_ + tpad)
tmin_req = max(tmin_win, tmin_this)
tmax_req = min(tmax_win, tmax_this)
if channel.sample_rate:
try:
deltat = 1.0 / int(channel.sample_rate.value)
except:
deltat = 1.0 / int(channel.sample_rate)
else:
deltat = 1.0
if tmin_req < tmax_req:
logger.debug('deltat %f' % deltat)
# extend time window by some samples because otherwise
# sometimes gaps are produced
# apparently the WS are only sensitive to full seconds
# round to avoid gaps, increase safetiy window
selection.append(nslc +
(math.floor(tmin_req - deltat * 20.0),
math.ceil(tmax_req + deltat * 20.0)))
if options.dry_run:
for (net, sta, loc, cha, tmin, tmax) in selection:
available_through[net, sta, loc, cha].add(site)
else:
neach = 100
i = 0
nbatches = ((len(selection) - 1) // neach) + 1
while i < len(selection):
selection_now = selection[i:i + neach]
f = tempfile.NamedTemporaryFile()
try:
sbatch = ''
if nbatches > 1:
sbatch = ' (batch %i/%i)' % (
(i // neach) + 1, nbatches)
logger.info('downloading data (%s)%s' % (site, sbatch))
data = fdsn.dataselect(site=site,
selection=selection_now,
**get_user_credentials(site))
while True:
buf = data.read(1024)
if not buf:
break
f.write(buf)
f.flush()
trs = io.load(f.name)
for tr in trs:
tr.fix_deltat_rounding_errors()
logger.debug('cutting window: %f - %f' %
(tmin_win, tmax_win))
logger.debug(
'available window: %f - %f, nsamples: %g' %
(tr.tmin, tr.tmax, tr.ydata.size))
try:
logger.debug('tmin before snap %f' % tr.tmin)
tr.snap(interpolate=True)
logger.debug('tmin after snap %f' % tr.tmin)
tr.chop(tmin_win,
tmax_win,
snap=(math.floor, math.ceil),
include_last=True)
logger.debug(
'cut window: %f - %f, nsamles: %g' %
(tr.tmin, tr.tmax, tr.ydata.size))
have_data.add(tr.nslc_id)
have_data_site[site].add(tr.nslc_id)
except trace.NoData:
pass
fns2 = io.save(trs, fn_template_raw)
for fn in fns2:
if fn in fns:
logger.warn('overwriting file %s', fn)
fns.extend(fns2)
except fdsn.EmptyResult:
pass
except HTTPError:
logger.warn('an error occurred while downloading data '
'for channels \n %s' %
'\n '.join('.'.join(x[:4])
for x in selection_now))
f.close()
i += neach
if options.dry_run:
nslcs = sorted(available_through.keys())
all_channels = defaultdict(set)
all_stations = defaultdict(set)
def plural_s(x):
return '' if x == 1 else 's'
for nslc in nslcs:
sites = tuple(sorted(available_through[nslc]))
logger.info('selected: %s.%s.%s.%s from site%s %s' %
(nslc + (plural_s(len(sites)), '+'.join(sites))))
all_channels[sites].add(nslc)
all_stations[sites].add(nslc[:3])
nchannels_all = 0
nstations_all = 0
for sites in sorted(all_channels.keys(),
key=lambda sites: (-len(sites), sites)):
nchannels = len(all_channels[sites])
nstations = len(all_stations[sites])
nchannels_all += nchannels
nstations_all += nstations
logger.info('selected (%s): %i channel%s (%i station%s)' %
('+'.join(sites), nchannels, plural_s(nchannels),
nstations, plural_s(nstations)))
logger.info('selected total: %i channel%s (%i station%s)' %
(nchannels_all, plural_s(nchannels_all), nstations_all,
plural_s(nstations_all)))
logger.info('dry run done.')
sys.exit(0)
for nslc in have_data:
# if we are in continue mode, we have to guess where the data came from
if not any(nslc in have_data_site[site] for site in sites):
for site in sites:
if nslc in could_have_data_site[site]:
have_data_site[site].add(nslc)
sxs = {}
for site in sites:
selection = []
for nslc in sorted(have_data_site[site]):
selection.append(nslc + (tmin - tpad, tmax + tpad))
if selection:
logger.info('downloading response information (%s)' % site)
sxs[site] = fdsn.station(site=site,
level='response',
selection=selection)
sxs[site].dump_xml(filename=op.join(output_dir, 'stations.%s.xml' %
site))
# chapter 1.5: inject local data
if options.local_data:
have_data_site['local'] = set()
plocal = pile.make_pile(options.local_data, fileformat='detect')
logger.info(
'Importing local data from %s between %s (%f) and %s (%f)' %
(options.local_data, util.time_to_str(tmin), tmin,
util.time_to_str(tmax), tmax))
for traces in plocal.chopper_grouped(gather=lambda tr: tr.nslc_id,
tmin=tmin,
tmax=tmax,
tinc=tinc):
for tr in traces:
if tr.nslc_id not in have_data:
fns.extend(io.save(traces, fn_template_raw))
have_data_site['local'].add(tr.nslc_id)
have_data.add(tr.nslc_id)
sites.append('local')
if options.local_responses_pz:
sxs['local'] = epz.make_stationxml(
epz.iload(options.local_responses_pz))
if options.local_responses_resp:
local_stations = []
for fn in options.local_stations:
local_stations.extend(model.load_stations(fn))
sxs['local'] = resp.make_stationxml(
local_stations, resp.iload(options.local_responses_resp))
if options.local_responses_stationxml:
sxs['local'] = stationxml.load_xml(
filename=options.local_responses_stationxml)
# chapter 1.6: dump raw data stations file
nsl_to_station = {}
for site in sites:
if site in sxs:
stations = sxs[site].get_pyrocko_stations(timespan=(tmin, tmax))
for s in stations:
nsl = s.nsl()
if nsl not in nsl_to_station:
nsl_to_station[nsl] = s
stations = [nsl_to_station[nsl_] for nsl_ in sorted(nsl_to_station.keys())]
util.ensuredirs(fn_stations_raw)
model.dump_stations(stations, fn_stations_raw)
dump_commandline(sys.argv, fn_commandline)
# chapter 2: restitution
if not fns:
logger.error('no data available')
sys.exit(1)
p = pile.make_pile(fns, show_progress=False)
p.get_deltatmin()
otinc = None
if otinc is None:
otinc = nice_seconds_floor(p.get_deltatmin() * 500000.)
otinc = 3600.
otmin = math.floor(p.tmin / otinc) * otinc
otmax = math.ceil(p.tmax / otinc) * otinc
otpad = tpad * 2
fns = []
rest_traces_b = []
win_b = None
for traces_a in p.chopper_grouped(gather=lambda tr: tr.nslc_id,
tmin=otmin,
tmax=otmax,
tinc=otinc,
tpad=otpad):
rest_traces_a = []
win_a = None
for tr in traces_a:
win_a = tr.wmin, tr.wmax
if win_b and win_b[0] >= win_a[0]:
fns.extend(cut_n_dump(rest_traces_b, win_b, fn_template_rest))
rest_traces_b = []
win_b = None
response = None
failure = []
for site in sites:
try:
if site not in sxs:
continue
logger.debug('Getting response for %s' % tr.__str__())
response = sxs[site].get_pyrocko_response(
tr.nslc_id,
timespan=(tr.tmin, tr.tmax),
fake_input_units=options.output_units)
break
except stationxml.NoResponseInformation:
failure.append('%s: no response information' % site)
except stationxml.MultipleResponseInformation:
failure.append('%s: multiple response information' % site)
if response is None:
failure = ', '.join(failure)
else:
failure = ''
try:
if tr.tmin > tmin and options.zero_pad:
logger.warning(
'Trace too short for clean restitution in '
'desired frequency band -> zero-padding!')
tr.extend(tr.tmin - tfade, tr.tmax + tfade, 'repeat')
rest_tr = tr.transfer(tfade, ftap, response, invert=True)
rest_traces_a.append(rest_tr)
except (trace.TraceTooShort, trace.NoData):
failure = 'trace too short'
if failure:
logger.warn('failed to restitute trace %s.%s.%s.%s (%s)' %
(tr.nslc_id + (failure, )))
if rest_traces_b:
rest_traces = trace.degapper(rest_traces_b + rest_traces_a,
deoverlap='crossfade_cos')
fns.extend(cut_n_dump(rest_traces, win_b, fn_template_rest))
rest_traces_a = []
if win_a:
for tr in rest_traces:
try:
rest_traces_a.append(
tr.chop(win_a[0], win_a[1] + otpad, inplace=False))
except trace.NoData:
pass
rest_traces_b = rest_traces_a
win_b = win_a
fns.extend(cut_n_dump(rest_traces_b, win_b, fn_template_rest))
# chapter 3: rotated restituted traces for inspection
if not event:
sys.exit(0)
fn_template1 = \
'DISPL.%(network)s.%(station)s.%(location)s.%(channel)s'
fn_waveforms = op.join(output_dir, 'prepared', fn_template1)
fn_stations = op.join(output_dir, 'stations.prepared.txt')
fn_event = op.join(event_dir, 'event.txt')
fn_event_yaml = op.join(event_dir, 'event.yaml')
nsl_to_station = {}
for site in sites:
if site in sxs:
stations = sxs[site].get_pyrocko_stations(timespan=(tmin, tmax))
for s in stations:
nsl = s.nsl()
if nsl not in nsl_to_station:
nsl_to_station[nsl] = s
p = pile.make_pile(fns, show_progress=False)
deltat = None
if sample_rate is not None:
deltat = 1.0 / sample_rate
traces_beat = []
used_stations = []
for nsl, s in nsl_to_station.items():
s.set_event_relative_data(event)
traces = p.all(trace_selector=lambda tr: tr.nslc_id[:3] == nsl)
if options.out_components == 'rtu':
pios = s.guess_projections_to_rtu(out_channels=('R', 'T', 'Z'))
elif options.out_components == 'enu':
pios = s.guess_projections_to_enu(out_channels=('E', 'N', 'Z'))
else:
assert False
for (proj, in_channels, out_channels) in pios:
proc = trace.project(traces, proj, in_channels, out_channels)
for tr in proc:
tr_beat = heart.SeismicDataset.from_pyrocko_trace(tr)
traces_beat.append(tr_beat)
for ch in out_channels:
if ch.name == tr.channel:
s.add_channel(ch)
if proc:
io.save(proc, fn_waveforms)
used_stations.append(s)
stations = list(used_stations)
util.ensuredirs(fn_stations)
model.dump_stations(stations, fn_stations)
model.dump_events([event], fn_event)
from pyrocko.guts import dump
dump([event], filename=fn_event_yaml)
utility.dump_objects(op.join(cwd, 'seismic_data.pkl'),
outlist=[stations, traces_beat])
logger.info('prepared waveforms from %i stations' % len(stations))
def report(env,
report_config=None,
update_without_plotting=True,
make_index=True,
make_archive=True,
nthreads=0):
if report_config is None:
report_config = ReportConfig()
report_config.set_basepath('.')
event_name = env.get_current_event_name()
logger.info('Creating report entry for run "%s"...' % event_name)
fp = report_config.expand_path
entry_path = expand_template(
op.join(fp(report_config.report_base_path),
report_config.entries_sub_path),
dict(event_name=event_name, problem_name=event_name))
if op.exists(entry_path) and not update_without_plotting:
shutil.rmtree(entry_path)
util.ensuredir(entry_path)
plots_dir_out = op.join(entry_path, 'plots')
util.ensuredir(plots_dir_out)
configs_dir = op.join(op.split(__file__)[0], 'app/configs/')
rundir_path = env.get_rundir_path()
try:
os.system("cp -r %s/grun/plots/* %s" % (rundir_path, plots_dir_out))
except:
pass
os.system("cp %s/plot_collection.yaml %s" % (configs_dir, plots_dir_out))
util.ensuredir("%s/shakemap/default/" % (plots_dir_out))
os.system(
"cp %s/*shakemap.png %s/shakemap/default/shakemap.default.gf_shakemap.d100.png"
% (rundir_path, plots_dir_out))
os.system("cp %s/shakemap.default.plot_group.yaml %s/shakemap/default/" %
(configs_dir, plots_dir_out))
util.ensuredir("%s/location/default/" % (plots_dir_out))
os.system(
"cp %s/*location.png %s/location/default/location.default.location.d100.png"
% (rundir_path, plots_dir_out))
os.system("cp %s/location.default.plot_group.yaml %s/location/default/" %
(configs_dir, plots_dir_out))
util.ensuredir("%s/production_data/default/" % (plots_dir_out))
os.system(
"cp %s/*production_data.png %s/production_data/default/production_data.default.production_data.d100.png"
% (rundir_path, plots_dir_out))
os.system(
"cp %s/production_data.default.plot_group.yaml %s/production_data/default/"
% (configs_dir, plots_dir_out))
util.ensuredir("%s/waveforms/default/" % (plots_dir_out))
os.system(
"cp %s/waveforms_1.png %s/waveforms/default/waveforms.default.waveforms_1.d100.png"
% (rundir_path, plots_dir_out))
os.system(
"cp %s/waveforms_2.png %s/waveforms/default/waveforms.default.waveforms_2.d100.png"
% (rundir_path, plots_dir_out))
os.system(
"cp %s/waveforms_3.png %s/waveforms/default/waveforms.default.waveforms_3.d100.png"
% (rundir_path, plots_dir_out))
os.system("cp %s/waveforms.default.plot_group.yaml %s/waveforms/default/" %
(configs_dir, plots_dir_out))
os.system("cp %s/grun/config.yaml %s/config.yaml" %
(rundir_path, entry_path))
try:
event = model.load_events(rundir_path + "event.txt")
model.dump_events(event,
filename=op.join(entry_path, 'event_reference.yaml'),
format="yaml")
event = event[0]
from silvertine import plot
pcc = report_config.plot_config_collection.get_weeded(env)
plot.make_plots(env,
plots_path=op.join(entry_path, 'plots'),
plot_config_collection=pcc)
try:
run_info = env.get_run_info()
except environment.NoRundirAvailable:
run_info = None
rie = ReportIndexEntry(path='.',
problem_name=event_name,
silvertine_version="0.01",
run_info=run_info)
fn = op.join(entry_path, 'event_reference.yaml')
if op.exists(fn):
rie.event_best = guts.load(filename=fn)
fn = op.join(entry_path, 'event_reference.yaml')
if op.exists(fn):
rie.event_reference = guts.load(filename=fn)
fn = op.join(entry_path, 'index.yaml')
guts.dump(rie, filename=fn)
logger.info('Done creating report entry for run "%s".' % "test")
# report_index(report_config)
# if make_archive:
# report_archive(report_config)
except FileNotFoundError:
pass
def ensure_gf_directory(self):
util.ensuredir(self.gf_directory)
def __init__(self, base_dir):
self.base_dir = base_dir
self.project_dir = os.path.dirname(base_dir)
self.mode = os.path.basename(base_dir)
util.ensuredir(self.base_dir)
def download_raw(path,
tmint,
tmaxt,
seiger=True,
selection=None,
providers=["bgr", "http://ws.gpi.kit.edu"],
clean=True,
detector=False,
common_f=80,
tinc=None):
try:
tmin = util.stt(tmint)
tmax = util.stt(tmaxt)
except:
tmin = tmint
tmax = tmaxt
util.ensuredir(path + "/downloads")
for provider in providers:
if clean is True and detector is True:
subprocess.run(['rm -r %s*' % (path + '/downloads/')], shell=True)
if seiger is True:
selection = get_seiger_stations(tmin, tmax)
request_waveform = fdsn.dataselect(site=provider, selection=selection)
# write the incoming data stream to 'traces.mseed'
if provider == "http://ws.gpi.kit.edu":
provider = "kit"
if provider == "http://192.168.11.220:8080":
provider = "bgr"
download_basepath = os.path.join(path, "traces_%s.mseed" % provider)
with open(download_basepath, 'wb') as file:
file.write(request_waveform.read())
traces = io.load(download_basepath)
if common_f is not None:
for tr in traces:
if tr.deltat != common_f:
tr.downsample_to(1 / common_f)
tr.ydata = tr.ydata.astype(num.int32)
if detector is True:
for tr in traces:
tr.chop(tmin, tmax)
date_min = get_time_format_eq(tr.tmin)
date_max = get_time_format_eq(tr.tmax)
io.save(
tr, "%sdownloads/%s/%s.%s..%s__%s__%s.mseed" %
(path, tr.station, tr.network, tr.station, tr.channel,
date_min, date_max))
else:
util.ensuredir("%s/downloads/" % path)
window_start = traces[0].tmin
window_end = traces[0].tmax
timestring = util.time_to_str(window_start, format='%Y-%m')
io.save(
traces, "%s/%s/%s_%s_%s.mseed" %
(path, timestring, provider, tmin, tmax))
if clean is True:
for provider in providers:
if provider == "http://192.168.11.220:8080":
provider = "bgr"
if provider == "http://ws.gpi.kit.edu":
provider = "kit"
subprocess.run(
['rm -r %s*' % (path + '/traces_%s.mseed' % provider)],
shell=True,
stdout=DEVNULL,
stderr=STDOUT)
except:
raise
parser.print_help()
sys.exit(1)
if options.force and op.isdir(event_dir):
if not options.continue_:
shutil.rmtree(event_dir)
if op.exists(event_dir) and not options.continue_:
logger.critical(
'directory "%s" exists. Delete it first or use the --force option'
% event_dir)
sys.exit(1)
util.ensuredir(output_dir)
if time is not None:
event = model.Event(time=time,
lat=lat,
lon=lon,
depth=depth,
name=ename,
magnitude=magnitude,
moment_tensor=mt)
if options.window == 'full':
if event is None:
logger.critical('need event for --window=full')
sys.exit(1)
def Metropolis_sample(n_stages=10, n_steps=10000, trace=None, start=None,
progressbar=False, stage=None, rm_flag=False,
step=None, model=None, n_jobs=1, update=None, burn=0.5, thin=2):
"""
Execute Metropolis algorithm repeatedly depending on the number of stages.
The start point of each stage set to the end point of the previous stage.
Update covariances if given.
"""
model = pm.modelcontext(model)
step.n_steps = int(n_steps)
if n_steps < 1:
raise Exception('Argument `n_steps` should be above 0.', exc_info=1)
if step is None:
raise Exception('Argument `step` has to be a TMCMC step object.')
if trace is None:
raise Exception('Argument `trace` should be path to result_directory.')
if n_jobs > 1:
if not (step.n_chains / float(n_jobs)).is_integer():
raise Exception('n_chains / n_jobs has to be a whole number!')
if start is not None:
if len(start) != step.n_chains:
raise Exception('Argument `start` should have dicts equal the '
'number of chains (step.N-chains)')
else:
step.population = start
if not any(
step.likelihood_name in var.name for var in model.deterministics):
raise Exception('Model (deterministic) variables need to contain '
'a variable %s '
'as defined in `step`.' % step.likelihood_name)
homepath = trace
util.ensuredir(homepath)
chains, step, update = init_stage(
homepath=homepath,
step=step,
stage=stage,
n_jobs=n_jobs,
progressbar=progressbar,
update=update,
model=model,
rm_flag=rm_flag)
# set beta to 1 - standard Metropolis sampling
step.beta = 1.
step.n_jobs = n_jobs
with model:
for s in range(int(stage), n_stages):
stage_path = os.path.join(homepath, 'stage_%i' % s)
logger.info('Sampling stage %s' % stage_path)
if s == 0:
draws = 1
else:
draws = n_steps
if not os.path.exists(stage_path):
chains = None
step.stage = s
sample_args = {
'draws': draws,
'step': step,
'stage_path': stage_path,
'progressbar': progressbar,
'model': model,
'n_jobs': n_jobs,
'chains': chains}
_iter_parallel_chains(**sample_args)
mtrace = backend.load(stage_path, model)
step.population, step.array_population, step.likelihoods = \
step.select_end_points(mtrace)
pdict, step.covariance = get_trace_stats(
mtrace, step, burn, thin)
if step.proposal_name == 'MultivariateNormal':
step.proposal_dist = choose_proposal(
step.proposal_name, scale=step.covariance)
if update is not None:
logger.info('Updating Covariances ...')
update.update_weights(pdict['dist_mean'], n_jobs=n_jobs)
mtrace = update_last_samples(
homepath, step, progressbar, model, n_jobs, rm_flag)
elif update is not None and stage == 0:
update.engine.close_cashed_stores()
step.chain_previous_lpoint = step.get_chain_previous_lpoint(mtrace)
outpath = os.path.join(stage_path, sample_p_outname)
outparam_list = [step, update]
utility.dump_objects(outpath, outparam_list)
get_final_stage(homepath, n_stages, model=model)
outpath = os.path.join(homepath, 'stage_final', sample_p_outname)
utility.dump_objects(outpath, outparam_list)