def test_sum_adj_to_base():
array = np.array([1., 2., 3., 4., 5.])
adjbase = AdjointSource(
"cc_traveltime_misfit", 2.0, 1.0, 17, 40, "BHZ",
adjoint_source=array, network="II", station="AAK",
location="", starttime=UTCDateTime(1990, 1, 1))
adj1 = deepcopy(adjbase)
adj2 = deepcopy(adjbase)
sa.sum_adj_to_base(adj1, adj2, 0.0)
adjoint_equal(adj1, adjbase)
adj2 = AdjointSource(
"cc_traveltime_misfit", 2.0, 1.0, 40, 100, "BHZ",
adjoint_source=array, network="II", station="AAK",
location="00", starttime=UTCDateTime(1990, 1, 1))
sa.sum_adj_to_base(adj1, adj2, 1.0)
adj2.component = "BHR"
with pytest.raises(ValueError):
sa.sum_adj_to_base(adj1, adj2, 1.0)
adj1 = deepcopy(adjbase)
adj2 = AdjointSource(
"cc_traveltime_misfit", 10.0, 1.0, 40, 100, "BHZ",
adjoint_source=array, network="II", station="AAK",
location="", starttime=UTCDateTime(1990, 1, 1))
sa.sum_adj_to_base(adj1, adj2, 0.1)
npt.assert_almost_equal(adj1.adjoint_source,
adjbase.adjoint_source * 1.1)
npt.assert_almost_equal(adj1.misfit, 3.0)
npt.assert_almost_equal(adj1.min_period, 17)
npt.assert_almost_equal(adj1.max_period, 100)
def test_dump_adjsrc():
array = np.array([1., 2., 3., 4., 5.])
adj = AdjointSource("cc_traveltime_misfit",
2.0,
1.0,
17,
40,
"BHZ",
adjoint_source=array,
network="II",
station="AAK",
location="",
starttime=UTCDateTime(1990, 1, 1))
station_info = {
"latitude": 1.0,
"longitude": 2.0,
"depth_in_m": 3.0,
"elevation_in_m": 4.0
}
adj_array, adj_path, parameters = sa.dump_adjsrc(adj, station_info)
npt.assert_array_almost_equal(adj_array, array)
for key in station_info:
npt.assert_almost_equal(station_info[key], parameters[key])
assert adj_path == "II_AAK_BHZ"
npt.assert_almost_equal(parameters["misfit"], 2.0)
npt.assert_almost_equal(parameters["dt"], 1.0)
npt.assert_almost_equal(parameters["min_period"], 17.0)
npt.assert_almost_equal(parameters["max_period"], 40.0)
assert parameters["adjoint_source_type"] == "cc_traveltime_misfit"
assert parameters["station_id"] == "II.AAK"
assert parameters["component"], "BHZ"
assert UTCDateTime(parameters["starttime"]) == UTCDateTime(1990, 1, 1)
assert parameters["units"] == "m"
def load_to_adjsrc(adj, event_time):
"""
Load from asdf file adjoint source to pyadjoint.AdjointSources
"""
starttime = event_time + adj.parameters["time_offset"]
_id = adj.parameters["station_id"]
nw, sta = _id.split(".")
comp = adj.parameters["component"]
loc = adj.parameters["location"]
new_adj = AdjointSource(adj.parameters["adjoint_source_type"],
adj.parameters["misfit"],
adj.parameters["dt"],
adj.parameters["min_period"],
adj.parameters["max_period"],
comp,
adjoint_source=np.array(adj.data),
network=nw,
station=sta,
location=loc,
starttime=starttime)
station_info = {
"latitude": adj.parameters["latitude"],
"longitude": adj.parameters["longitude"],
"elevation_in_m": adj.parameters["elevation_in_m"],
"depth_in_m": adj.parameters["depth_in_m"],
"station": sta,
"network": nw,
"location": loc
}
return new_adj, station_info
def test_convert_adjs_to_trace():
array = np.array([1., 2., 3., 4., 5.])
starttime = UTCDateTime(1990, 1, 1)
adj = AdjointSource("cc_traveltime_misfit",
0,
1.0,
17,
40,
"BHZ",
adjoint_source=array,
network="II",
station="AAK",
location="",
starttime=starttime)
tr, meta = pa.convert_adj_to_trace(adj)
npt.assert_allclose(tr.data, array)
assert tr.stats.starttime == starttime
npt.assert_almost_equal(tr.stats.delta, 1.0)
assert tr.id == "II.AAK..BHZ"
assert meta["adj_src_type"] == "cc_traveltime_misfit"
npt.assert_almost_equal(meta["misfit"], 0.0)
npt.assert_almost_equal(meta["min_period"], 17.0)
npt.assert_almost_equal(meta["max_period"], 40.0)
def test_check_adj_consistency():
array = np.zeros(10)
adj1 = AdjointSource("cc_traveltime_misfit",
0,
1.0,
17,
40,
"BHZ",
adjoint_source=array,
network="II",
station="AAK",
location="",
starttime=UTCDateTime(1990, 1, 1))
adj2 = deepcopy(adj1)
sa.check_adj_consistency(adj1, adj2)
adj2 = deepcopy(adj1)
adj2.component = "HHZ"
with pytest.raises(ValueError) as errmsg:
sa.check_adj_consistency(adj1, adj2)
adj2 = deepcopy(adj1)
adj2.dt *= 2
with pytest.raises(ValueError) as errmsg:
sa.check_adj_consistency(adj1, adj2)
print(str(errmsg))
assert "DeltaT of current adjoint source" in str(errmsg.value)
adj2 = deepcopy(adj1)
adj2.starttime += 1
with pytest.raises(ValueError) as errmsg:
sa.check_adj_consistency(adj1, adj2)
assert "Start time of current adjoint source" in str(errmsg.value)
def _convert_trace_to_adj(tr, adj_src_type, minp, maxp):
"""
Convert Trace to AdjointSource, for internal use only
"""
adj = AdjointSource(adj_src_type, 0.0, 0.0, minp, maxp, "")
adj.dt = tr.stats.delta
adj.adjoint_source = tr.data
adj.station = tr.stats.station
adj.network = tr.stats.network
adj.location = tr.stats.location
adj.component = tr.stats.channel
adj.starttime = tr.stats.starttime
return adj
def _convert_trace_to_adj(tr, adj_src_type, minp, maxp):
"""
Convert Trace to AdjointSource, for internal use only
"""
adj = AdjointSource(adj_src_type, 0.0, 0.0, minp, maxp, "")
adj.dt = tr.stats.delta
adj.adjoint_source = tr.data
adj.station = tr.stats.station
adj.network = tr.stats.network
adj.location = tr.stats.location
adj.component = tr.stats.channel
adj.starttime = tr.stats.starttime
return adj
def get_sample_adjsrcs(array, starttime):
adjz = AdjointSource("cc_traveltime_misfit",
0,
1.0,
17,
40,
"BHZ",
adjoint_source=array,
network="II",
station="AAK",
location="",
starttime=starttime)
adjr = deepcopy(adjz)
adjr.component = "BHR"
adjt = deepcopy(adjz)
adjt.component = "BHT"
return [adjz, adjr, adjt]
def test_sum_adj_to_base():
array = np.array([1., 2., 3., 4., 5.])
adjbase = AdjointSource("cc_traveltime_misfit",
2.0,
1.0,
17,
40,
"BHZ",
adjoint_source=array,
network="II",
station="AAK",
location="",
starttime=UTCDateTime(1990, 1, 1))
adj1 = deepcopy(adjbase)
adj2 = deepcopy(adjbase)
sa.sum_adj_to_base(adj1, adj2, 0.0)
adjoint_equal(adj1, adjbase)
adj2 = AdjointSource("cc_traveltime_misfit",
2.0,
1.0,
40,
100,
"BHZ",
adjoint_source=array,
network="II",
station="AAK",
location="00",
starttime=UTCDateTime(1990, 1, 1))
sa.sum_adj_to_base(adj1, adj2, 1.0)
adj2.component = "BHR"
with pytest.raises(ValueError):
sa.sum_adj_to_base(adj1, adj2, 1.0)
adj1 = deepcopy(adjbase)
adj2 = AdjointSource("cc_traveltime_misfit",
10.0,
1.0,
40,
100,
"BHZ",
adjoint_source=array,
network="II",
station="AAK",
location="",
starttime=UTCDateTime(1990, 1, 1))
sa.sum_adj_to_base(adj1, adj2, 0.1)
npt.assert_almost_equal(adj1.adjoint_source, adjbase.adjoint_source * 1.1)
npt.assert_almost_equal(adj1.misfit, 3.0)
npt.assert_almost_equal(adj1.min_period, 17)
npt.assert_almost_equal(adj1.max_period, 100)
def test_convert_trace_to_adj_2():
array = np.array([1., 2., 3., 4., 5.])
starttime = UTCDateTime(1990, 1, 1)
adj = AdjointSource("cc_traveltime_misfit",
0,
1.0,
17,
40,
"BHZ",
adjoint_source=array,
network="II",
station="AAK",
location="",
starttime=starttime)
tr, meta = pa.convert_adj_to_trace(adj)
adj_new = pa.convert_trace_to_adj(tr, meta)
assert_adj_same(adj, adj_new)
def ensemble_fake_adj(stream):
"""
Ensemble fake adjoint sources from stream, for test purpose.
"""
adjsrcs = list()
comps = ["Z", "R", "T"]
for comp in comps:
tr = stream.select(channel="*%s" % comp)[0]
adj = AdjointSource(
"waveform_misfit", misfit=0.0, dt=tr.stats.delta,
min_period=50.0, max_period=100.0,
component=tr.stats.channel,
adjoint_source=tr.data, network=tr.stats.network,
station=tr.stats.station, location=tr.stats.location,
starttime=tr.stats.starttime)
adjsrcs.append(adj)
return adjsrcs
def test_created_weighted_adj():
array = np.array([1., 2., 3., 4., 5.])
adj = AdjointSource("cc_traveltime_misfit",
2.0,
1.0,
17,
40,
"BHZ",
adjoint_source=array,
network="II",
station="AAK",
location="",
starttime=UTCDateTime(1990, 1, 1))
new_adj = sa.create_weighted_adj(adj, 1.0)
adjoint_equal(new_adj, adj)
new_adj = sa.create_weighted_adj(adj, 0.5)
npt.assert_array_almost_equal(new_adj.adjoint_source,
adj.adjoint_source * 0.5)
npt.assert_almost_equal(new_adj.misfit, adj.misfit * 0.5)
assert new_adj.location == ""
def convert_trace_to_adj(tr, meta):
"""
Convert Trace to AdjointSource, for internal use only, with
meta data information
"""
minp = meta["min_period"]
maxp = meta["max_period"]
adj_src_type = meta["adj_src_type"]
misfit = meta["misfit"]
dt = tr.stats.delta
component = tr.stats.channel
adj = AdjointSource(adj_src_type, misfit, dt, minp, maxp, component)
adj.adjoint_source = deepcopy(tr.data)
adj.station = tr.stats.station
adj.network = tr.stats.network
adj.location = tr.stats.location
adj.starttime = tr.stats.starttime
return adj
def ensemble_fake_adj(stream, time_offset=0.0):
"""
Ensemble fake adjoint sources from stream, for test purpose.
"""
adjsrc_dict = dict()
comps = ["Z", "R", "T"]
nwin_dict = dict()
for comp in comps:
tr = stream.select(channel="*%s" % comp)[0]
adj = AdjointSource("waveform_misfit",
misfit=0.0,
dt=tr.stats.delta,
min_period=50.0,
max_period=100.0,
component=tr.stats.channel[-1],
adjoint_source=tr.data,
network=tr.stats.network,
station=tr.stats.station)
adjsrc_dict[tr.id] = adj
nwin_dict[tr.id] = 1
return adjsrc_dict, nwin_dict
def construct_3_component_adjsrc(network="II", station="AAK", location=""):
array = np.array([1., 2., 3., 4., 5.])
adjz = AdjointSource("cc_traveltime_misfit",
2.0,
1.0,
40,
100,
"MXZ",
adjoint_source=array,
network=network,
station=station,
location=location,
starttime=UTCDateTime(1990, 1, 1))
adjr = deepcopy(adjz)
adjr.adjoint_source = 2 * array
adjr.component = "MXR"
adjt = deepcopy(adjz)
adjt.adjoint_source = 3 * array
adjt.component = "MXT"
return [adjr, adjt, adjz]
def test_load_to_adjsrc():
array = np.array([1., 2., 3., 4., 5.])
adj = AdjointSource("cc_traveltime_misfit",
2.0,
1.0,
17,
40,
"BHZ",
adjoint_source=array,
network="II",
station="AAK",
location="",
starttime=UTCDateTime(1990, 1, 1))
station_info = {
"latitude": 1.0,
"longitude": 2.0,
"depth_in_m": 3.0,
"elevation_in_m": 4.0
}
adj_array, adj_path, parameters = sa.dump_adjsrc(adj, station_info)
# ensemble a faked adjoint source from hdf5
hdf5_adj = namedtuple("HDF5Adj", ['data', 'parameters'])
hdf5_adj.data = array
hdf5_adj.parameters = parameters
# load and check
loaded_adj, loaded_station_info = sa.load_to_adjsrc(hdf5_adj)
adjoint_equal(loaded_adj, adj)
for k in station_info:
npt.assert_almost_equal(station_info[k], loaded_station_info[k])
assert loaded_station_info["station"] == "AAK"
assert loaded_station_info["network"] == "II"
assert loaded_station_info["location"] == ""
def _convert_trace_to_adj(tr, meta):
"""
Convert Trace to AdjointSource, for internal use only, with
meta data information
"""
minp = meta["min_period"]
maxp = meta["max_period"]
adj_src_type = meta["adj_src_type"]
misfit = meta["misfit"]
dt = tr.stats.delta
component = tr.stats.channel
adj = AdjointSource(adj_src_type, misfit, dt, minp, maxp, component)
adj.adjoint_source = tr.data
adj.station = tr.stats.station
adj.network = tr.stats.network
adj.location = tr.stats.location
adj.starttime = tr.stats.starttime
return adj
