def geophone_response(resonance_frequency,
gain,
damping=0.707,
output_resistance=np.inf,
cable_length=np.inf,
cable_capacitance=np.inf,
sensitivity=1,
stage_sequence_number=1):
paz = corn_freq_2_paz(resonance_frequency, damp=damping)
l = cable_length
R = output_resistance
C = cable_capacitance
if ((R * l * C) != np.inf) and ((R * l * C) != 0):
pole_cable = -1 / (R * l * C)
paz['poles'].append(pole_cable)
i_s = InstrumentSensitivity(sensitivity,
resonance_frequency,
input_units='M/S',
output_units='M/S',
input_units_description='velocity',
output_units_description='velocity')
pzr = PolesZerosResponseStage(stage_sequence_number, gain,
resonance_frequency, 'M/S', 'M/S',
'LAPLACE (RADIANT/SECOND)',
resonance_frequency, paz['zeros'],
paz['poles'])
return Response(instrument_sensitivity=i_s, response_stages=[pzr])
def _channel_from_stats(stats):
if stats.standard.units in UNITS:
units = UNITS[stats.standard.units]
else:
units = ''
instrument = stats.standard.instrument
serialnum = stats.standard.sensor_serial_number
if len(instrument) or len(serialnum):
equipment = Equipment(type=instrument,
serial_number=serialnum)
else:
equipment = None
depth = 0.0
azimuth = None
c1 = 'horizontal_orientation' in stats.standard
c2 = c1 and not np.isnan(stats.standard.horizontal_orientation)
if c2:
azimuth = stats.standard.horizontal_orientation
else:
azimuth = 0
if not (azimuth >= 0 and azimuth <= 360):
azimuth = 0
response = None
if 'response' in stats:
response = stats['response']
else:
# we may have instrument sensitivity...
frequency = 1 / stats['standard']['instrument_period']
units = stats.standard.units
if not np.isnan(stats['standard']['instrument_sensitivity']):
sens = stats['standard']['instrument_sensitivity']
else:
sens = 1.0
sensitivity = InstrumentSensitivity(sens,
frequency=frequency,
input_units=units,
output_units='COUNTS')
response = Response(instrument_sensitivity=sensitivity)
comments = Comment(stats.standard.comments)
logging.debug('channel: %s' % stats.channel)
channel = Channel(stats.channel,
stats.location,
stats.coordinates['latitude'],
stats.coordinates['longitude'],
stats.coordinates['elevation'],
depth,
azimuth=azimuth,
sample_rate=stats.sampling_rate,
storage_format=stats.standard.source_format,
calibration_units=units,
comments=[comments],
response=response,
sensor=equipment)
return channel
def _channel_from_stats(stats):
if stats.standard.units in UNITS:
units = UNITS[stats.standard.units]
else:
units = ""
instrument = stats.standard.instrument
serialnum = stats.standard.sensor_serial_number
if len(instrument) or len(serialnum):
equipment = Equipment(type=instrument, serial_number=serialnum)
else:
equipment = None
depth = 0.0
azimuth = None
c1 = "horizontal_orientation" in stats.standard
c2 = c1 and not np.isnan(stats.standard.horizontal_orientation)
if c2:
azimuth = stats.standard.horizontal_orientation
else:
azimuth = 0
if not (azimuth >= 0 and azimuth <= 360):
azimuth = 0
response = None
if "response" in stats:
response = stats["response"]
else:
# we may have instrument sensitivity...
frequency = 1 / stats["standard"]["instrument_period"]
units = stats.standard.units
if not np.isnan(stats["standard"]["instrument_sensitivity"]):
sens = stats["standard"]["instrument_sensitivity"]
else:
sens = 1.0
sensitivity = InstrumentSensitivity(sens,
frequency=frequency,
input_units=units,
output_units="COUNTS")
response = Response(instrument_sensitivity=sensitivity)
comments = Comment(stats.standard.comments)
logging.debug(f"channel: {stats.channel}")
channel = Channel(
stats.channel,
stats.location,
stats.coordinates["latitude"],
stats.coordinates["longitude"],
stats.coordinates["elevation"],
depth,
azimuth=azimuth,
sample_rate=stats.sampling_rate,
calibration_units=units,
comments=[comments],
response=response,
sensor=equipment,
)
return channel
def accelerometer_response(resonance_frequency,
gain,
sensitivity=1,
stage_sequence_number=1,
damping=0.707):
i_s = InstrumentSensitivity(sensitivity,
resonance_frequency,
input_units='M/S/S',
output_units='M/S/S',
input_units_description='acceleration',
output_units_description='acceleration')
paz = corn_freq_2_paz(resonance_frequency, damp=damping)
paz['zeros'] = []
pzr = PolesZerosResponseStage(1, 1, 14, 'M/S/S', 'M/S',
'LAPLACE (RADIANT/SECOND)', 1, [],
paz['poles'])
return Response(instrument_sensitivity=i_s, response_stages=[pzr])
def read_fdsn_station_text_file(path_or_file_object):
"""
Function reading a FDSN station text file to an inventory object.
:param path_or_file_object: File name or file like object.
"""
def _read(obj):
r = unicode_csv_reader(obj, delimiter=native_str("|"))
header = next(r)
header[0] = header[0].lstrip("#")
header = [_i.strip().lower() for _i in header]
# IRIS currently has a wrong header name. Just map it.
header = [
_i.replace("instrument", "sensordescription") for _i in header
]
all_lines = []
for line in r:
# Skip comment lines.
if line[0].startswith("#"):
continue
all_lines.append([_i.strip() for _i in line])
return {"header": tuple(header), "content": all_lines}
# Enable reading from files and buffers opened in binary mode.
if (hasattr(path_or_file_object, "mode") and
"b" in path_or_file_object.mode) or \
isinstance(path_or_file_object, io.BytesIO):
buf = io.StringIO(path_or_file_object.read().decode("utf-8"))
buf.seek(0, 0)
path_or_file_object = buf
if hasattr(path_or_file_object, "read"):
content = _read(path_or_file_object)
else:
with open(path_or_file_object, "rt", newline="",
encoding="utf8") as fh:
content = _read(fh)
# Figure out the type.
if content["header"] == network_components:
level = "network"
filetypes = network_types
elif content["header"] == station_components:
level = "station"
filetypes = station_types
elif content["header"] == channel_components:
level = "channel"
filetypes = channel_types
else:
raise ValueError("Unknown type of header.")
content = content["content"]
converted_content = []
# Convert all types.
for line in content:
converted_content.append(
[v_type(value) for value, v_type in zip(line, filetypes)])
# Now convert to an inventory object.
inv = Inventory(networks=[], source=None)
if level == "network":
for net in converted_content:
network = Network(code=net[0],
description=net[1],
start_date=net[2],
end_date=net[3],
total_number_of_stations=net[4])
inv.networks.append(network)
elif level == "station":
networks = collections.OrderedDict()
for sta in converted_content:
site = Site(name=sta[5])
station = Station(code=sta[1],
latitude=sta[2],
longitude=sta[3],
elevation=sta[4],
site=site,
start_date=sta[6],
end_date=sta[7])
if sta[0] not in networks:
networks[sta[0]] = []
networks[sta[0]].append(station)
for network_code, stations in networks.items():
net = Network(code=network_code, stations=stations)
inv.networks.append(net)
elif level == "channel":
networks = collections.OrderedDict()
stations = collections.OrderedDict()
for channel in converted_content:
net, sta, loc, chan, lat, lng, ele, dep, azi, dip, inst, scale, \
scale_freq, scale_units, s_r, st, et = channel
if net not in networks:
networks[net] = Network(code=net)
if (net, sta) not in stations:
station = Station(code=sta,
latitude=lat,
longitude=lng,
elevation=ele)
networks[net].stations.append(station)
stations[(net, sta)] = station
sensor = Equipment(type=inst)
if scale is not None and scale_freq is not None:
resp = Response(instrument_sensitivity=InstrumentSensitivity(
value=scale,
frequency=scale_freq,
input_units=scale_units,
output_units=None))
else:
resp = None
try:
channel = Channel(code=chan,
location_code=loc,
latitude=lat,
longitude=lng,
elevation=ele,
depth=dep,
azimuth=azi,
dip=dip,
sensor=sensor,
sample_rate=s_r,
start_date=st,
end_date=et,
response=resp)
except Exception as e:
warnings.warn(
"Failed to parse channel %s.%s.%s.%s due to: %s" %
(net, sta, loc, chan, str(e)), UserWarning)
continue
stations[(net, sta)].channels.append(channel)
inv.networks.extend(list(networks.values()))
else:
# Cannot really happen - just a safety measure.
raise NotImplementedError("Unknown level: %s" % str(level))
return inv
def getStation(stationBlock, units, transFuncs):
## Should probably do a check up here to see that the order given in block is consistent ##
for entry in stationBlock:
if entry.name == 'Station Identifier':
# print 'NewStation!',entry.station_call_letters
staDict = {
'code': entry.station_call_letters,
'latitude': entry.latitude,
'longitude': entry.longitude,
'elevation': entry.elevation,
'channels': [],
'site': Site(entry.site_name),
'creation_date':
UTCDateTime(entry.start_effective_date), # Allows for save
'start_date': UTCDateTime(entry.start_effective_date),
'end_date': UTCDateTime(entry.end_effective_date)
}
staNetCode = entry.network_code
# If found a new channel, reset the stages
elif entry.name == 'Channel Identifier':
# print 'NewChannel!',entry.channel_identifier
stages = []
chaDict = {
'code': entry.channel_identifier,
'location_code': entry.location_identifier,
'latitude': entry.latitude,
'longitude': entry.longitude,
'elevation': entry.elevation,
'depth': entry.local_depth,
'sample_rate': entry.sample_rate,
'start_date': UTCDateTime(entry.start_date),
'end_date': UTCDateTime(entry.end_date),
'azimuth': entry.azimuth,
'dip': entry.dip
}
#code, location_code, latitude, longitude, elevation, depth
# If on a new stage, set up the dictionary again
# ...paz stage
elif entry.name == 'Response Poles and Zeros':
# Get units
stageReqs = {}
# print entry.name,entry.stage_sequence_number
# print entry
# quit()
stageReqs['input_units'] = units[entry.stage_signal_input_units]
stageReqs['output_units'] = units[entry.stage_signal_output_units]
# Collect the poles and zeros
lastType = 'paz'
if entry.number_of_complex_zeros == 0:
zeros = np.array([], dtype=float)
else:
zeros = np.array(entry.real_zero, dtype=float) + np.array(
entry.imaginary_zero, dtype=float) * 1j
if entry.number_of_complex_poles == 0:
poles = np.array([], dtype=float)
else:
poles = np.array(entry.real_pole, dtype=float) + np.array(
entry.imaginary_pole, dtype=float) * 1j
# Form the paz response dictionary (also ensure arrays are 1D)
pazDict = {
'pz_transfer_function_type':
transFuncs[entry.transfer_function_types],
'normalization_factor':
entry.A0_normalization_factor,
'normalization_frequency':
entry.normalization_frequency,
'zeros':
setArrDim(zeros),
'poles':
setArrDim(poles)
}
# ...coeff stage
elif entry.name == 'Response Coefficients':
# Get units
stageReqs = {}
# print entry.name,entry.stage_sequence_number
stageReqs['input_units'] = units[entry.signal_input_units]
stageReqs['output_units'] = units[entry.signal_output_units]
# Collect the coefficients
lastType = 'coef'
if entry.number_of_denominators == 0:
denom = np.array([], dtype=float)
denomErr = np.array([], dtype=float)
else:
denom = np.array(entry.denominator_coefficient, dtype=float)
denomErr = np.array(entry.denominator_error, dtype=float)
if entry.number_of_numerators == 0:
numer = np.array([], dtype=float)
numerErr = np.array([], dtype=float)
else:
numer = np.array(entry.numerator_coefficient, dtype=float)
numerErr = np.array(entry.numerator_error, dtype=float)
# Convert these arrays into lists of numbers which have uncertainty (also ensure arrays are 1D)
denomArr = genArrWithUncertainty(setArrDim(denom),
setArrDim(denomErr))
numerArr = genArrWithUncertainty(setArrDim(numer),
setArrDim(numerErr))
# Form the coeefficient response dictionary
coefDict = {
'cf_transfer_function_type': transFuncs[entry.response_type],
'numerator': numerArr,
'denominator': denomArr
}
# Get the decimation sampling info
elif entry.name == 'Decimation':
# print entry.name,entry.stage_sequence_number
stageReqs['decimation_input_sample_rate'] = Frequency(
entry.input_sample_rate)
stageReqs['decimation_factor'] = entry.decimation_factor
stageReqs['decimation_offset'] = entry.decimation_offset
stageReqs['decimation_delay'] = FloatWithUncertaintiesAndUnit(
entry.estimated_delay)
stageReqs['decimation_correction'] = FloatWithUncertaintiesAndUnit(
entry.correction_applied)
# Get the stage sensitivity
elif entry.name == 'Channel Sensitivity Gain':
# print entry.name,entry.stage_sequence_number
if entry.stage_sequence_number != 0:
stageReqs[
'stage_sequence_number'] = entry.stage_sequence_number
stageReqs['stage_gain'] = entry.sensitivity_gain
stageReqs['stage_gain_frequency'] = entry.frequency
# See what type of stage this was
if lastType == 'paz':
pazDict.update(stageReqs)
stages.append(PolesZerosResponseStage(**pazDict))
else:
coefDict.update(stageReqs)
stages.append(CoefficientsTypeResponseStage(**coefDict))
# If on the last stage, send off the collected stage info
else:
if len(stages) > 0:
instrSens = InstrumentSensitivity(entry.sensitivity_gain,
entry.frequency,
stages[0].input_units,
stages[-1].output_units)
# Finalize the channel dictionary, and append this channel to the station dictionary
chaResp = Response(response_stages=stages,
instrument_sensitivity=instrSens)
chaDict['response'] = chaResp
staDict['channels'].append(Channel(**chaDict))
# Return the stations to the list of stations (also track the network code)
return Station(**staDict), staNetCode
def test_write_stationtxt(self):
"""
Test writing stationtxt at channel level
"""
# Manually create a test Inventory object.
resp_1 = Response(
instrument_sensitivity=InstrumentSensitivity(frequency=0.02,
input_units="M/S",
output_units=None,
value=8.48507E8))
resp_2 = Response(
instrument_sensitivity=InstrumentSensitivity(frequency=1.0,
input_units="M/S**2",
output_units=None,
value=53435.4))
resp_3 = Response(
instrument_sensitivity=InstrumentSensitivity(frequency=0.03,
input_units="M/S",
output_units=None,
value=6.27252E8))
test_inv = Inventory(
source=None,
networks=[
Network(
code="IU",
start_date=obspy.UTCDateTime("1988-01-01T00:00:00"),
end_date=obspy.UTCDateTime("2500-12-31T23:59:59"),
total_number_of_stations=1,
description="Global Seismograph Network (GSN - IRIS/USGS)",
stations=[
Station(code="ANMO",
latitude=34.9459,
longitude=-106.4572,
elevation=1850.0,
channels=[
Channel(code="BCI",
location_code="",
latitude=34.9459,
longitude=-106.4572,
elevation=1850.0,
depth=100.0,
azimuth=0.0,
dip=0.0,
sample_rate=0.0,
sensor=Equipment(
description=
"Geotech KS-36000-I Borehole "
"Seismometer"),
start_date=obspy.UTCDateTime(
"1989-08-29T00:00:00"),
end_date=obspy.UTCDateTime(
"1995-02-01T00:00:00"),
response=resp_1),
Channel(
code="LNZ",
location_code="20",
latitude=34.9459,
longitude=-106.4572,
elevation=1820.7,
depth=0.0,
azimuth=0.0,
dip=-90.0,
sample_rate=0.0,
sensor=Equipment(
description="Titan Accelerometer"),
start_date=obspy.UTCDateTime(
"2013-06-20T16:30:00"),
response=resp_2),
]),
]),
Network(
code="6E",
start_date=obspy.UTCDateTime("2013-01-01T00:00:00"),
end_date=obspy.UTCDateTime("2016-12-31T23:59:59"),
total_number_of_stations=1,
description="Wabash Valley Seismic Zone",
stations=[
Station(
code="SH01",
latitude=37.7457,
longitude=-88.1368,
elevation=126.0,
channels=[
Channel(
code="LOG",
location_code="",
latitude=37.7457,
longitude=-88.1368,
elevation=126.0,
depth=0.0,
azimuth=0.0,
dip=0.0,
sample_rate=0.0,
sensor=Equipment(
description="Reftek 130 Datalogger"),
start_date=obspy.UTCDateTime(
"2013-11-23T00:00:00"),
end_date=obspy.UTCDateTime(
"2016-12-31T23:59:59"),
response=resp_3)
]),
])
])
# CHANNEL level test
stio = io.StringIO()
test_inv.write(stio, format="STATIONTXT", level="CHANNEL")
# check contents
content = stio.getvalue()
expected = [
("Network|Station|Location|Channel|Latitude|Longitude|"
"Elevation|Depth|Azimuth|Dip|SensorDescription|Scale|"
"ScaleFreq|ScaleUnits|SampleRate|StartTime|EndTime"),
("IU|ANMO||BCI|34.9459|-106.4572|1850.0|100.0|0.0|"
"0.0|Geotech KS-36000-I Borehole Seismometer|"
"848507000.0|0.02|M/S|0.0|1989-08-29T00:00:00|"
"1995-02-01T00:00:00"),
("IU|ANMO|20|LNZ|34.9459|-106.4572|1820.7|0.0|0.0|"
"-90.0|Titan Accelerometer|53435.4|1.0|M/S**2|0.0|"
"2013-06-20T16:30:00|"),
("6E|SH01||LOG|37.7457|-88.1368|126.0|0.0|0.0|0.0|"
"Reftek 130 Datalogger|627252000.0|0.03|M/S|0.0|"
"2013-11-23T00:00:00|2016-12-31T23:59:59"),
]
num_lines_written = 0
for line in expected:
self.assertIn(line, content)
num_lines_written = num_lines_written + 1
# assert that the number of lines written equals
# the number of lines expected
self.assertEqual(num_lines_written, len(expected))
# STATION level test
stio = io.StringIO()
test_inv.write(stio, format="STATIONTXT", level="STATION")
# check contents
content = stio.getvalue()
expected = [
("Network|Station|Latitude|Longitude|"
"Elevation|SiteName|StartTime|EndTime"),
("IU|ANMO|34.9459|-106.4572|1850.0||"),
("6E|SH01|37.7457|-88.1368|126.0||"),
]
num_lines_written = 0
for line in expected:
self.assertIn(line, content)
num_lines_written = num_lines_written + 1
# assert that the number of lines written equals
# the number of lines expected
self.assertEqual(num_lines_written, len(expected))
# NETWORK level test
stio = io.StringIO()
test_inv.write(stio, format="STATIONTXT", level="NETWORK")
# check contents
content = stio.getvalue()
expected = [
("Network|Description|StartTime|EndTime|TotalStations"),
("IU|Global Seismograph Network (GSN - IRIS/USGS)|"
"1988-01-01T00:00:00|2500-12-31T23:59:59|1"),
("6E|Wabash Valley Seismic Zone|"
"2013-01-01T00:00:00|2016-12-31T23:59:59|1"),
]
num_lines_written = 0
for line in expected:
self.assertIn(line, content)
num_lines_written = num_lines_written + 1
# assert that the number of lines written equals
# the number of lines expected
self.assertEqual(num_lines_written, len(expected))
def test_reading_channel_file(self):
"""
Test reading a file at the channel level.
"""
resp_1 = Response(
instrument_sensitivity=InstrumentSensitivity(frequency=0.02,
input_units="M/S",
output_units=None,
value=4.88233E8))
resp_2 = Response(
instrument_sensitivity=InstrumentSensitivity(frequency=0.03,
input_units="M/S",
output_units=None,
value=4.98112E8))
resp_3 = Response(
instrument_sensitivity=InstrumentSensitivity(frequency=0.03,
input_units="M/S",
output_units=None,
value=6.27252E8))
# Manually create an expected Inventory object.
expected_inv = Inventory(
source=None,
networks=[
Network(
code="AK",
stations=[
Station(
code="BAGL",
latitude=60.4896,
longitude=-142.0915,
elevation=1470,
channels=[
Channel(
code="LHZ",
location_code="",
latitude=60.4896,
longitude=-142.0915,
elevation=1470,
depth=0.0,
azimuth=0.0,
dip=-90.0,
sample_rate=1.0,
sensor=Equipment(
type="Nanometrics Trillium 240 Sec "
"Response sn 400 and a"),
start_date=obspy.UTCDateTime(
"2013-01-01T00:00:00"),
end_date=obspy.UTCDateTime(
"2599-12-31T23:59:59"),
response=resp_1)
]),
Station(
code="BWN",
latitude=64.1732,
longitude=-149.2991,
elevation=356.0,
channels=[
Channel(
code="LHZ",
location_code="",
latitude=64.1732,
longitude=-149.2991,
elevation=356.0,
depth=0.0,
azimuth=0.0,
dip=-90.0,
sample_rate=1.0,
sensor=Equipment(
type="Nanometrics Trillium 240 Sec "
"Response sn 400 and a"),
start_date=obspy.UTCDateTime(
"2010-07-23T00:00:00"),
end_date=obspy.UTCDateTime(
"2014-05-28T23:59:59"),
response=resp_1),
Channel(
code="LHZ",
location_code="",
latitude=64.1732,
longitude=-149.2991,
elevation=356.0,
depth=1.5,
azimuth=0.0,
dip=-90.0,
sample_rate=1.0,
sensor=Equipment(
type="Nanometrics Trillium 120 Sec "
"Response/Quanterra 33"),
start_date=obspy.UTCDateTime(
"2014-08-01T00:00:00"),
end_date=obspy.UTCDateTime(
"2599-12-31T23:59:59"),
response=resp_2)
])
]),
Network(
code="AZ",
stations=[
Station(
code="BZN",
latitude=33.4915,
longitude=-116.667,
elevation=1301.0,
channels=[
Channel(
code="LHZ",
location_code="",
latitude=33.4915,
longitude=-116.667,
elevation=1301.0,
depth=0.0,
azimuth=0.0,
dip=-90.0,
sample_rate=1.0,
sensor=Equipment(
type=
"Streckeisen STS-2 G1/Quanterra 330 "
"Linear Phase Be"),
start_date=obspy.UTCDateTime(
"2010-07-26T17:22:00"),
end_date=obspy.UTCDateTime(
"2013-07-15T21:22:23"),
response=resp_3),
Channel(
code="LHZ",
location_code="",
latitude=33.4915,
longitude=-116.667,
elevation=1301.0,
depth=0.0,
azimuth=0.0,
dip=-90.0,
sample_rate=1.0,
sensor=Equipment(
type=
"Streckeisen STS-2 G1/Quanterra 330 "
"Linear Phase Be"),
start_date=obspy.UTCDateTime(
"2013-07-15T21:22:23"),
end_date=obspy.UTCDateTime(
"2013-10-22T19:30:00"),
response=resp_3),
Channel(
code="LHZ",
location_code="",
latitude=33.4915,
longitude=-116.667,
elevation=1301.0,
depth=0.0,
azimuth=0.0,
dip=-90.0,
sample_rate=1.0,
sensor=Equipment(
type=
"Streckeisen STS-2 G1/Quanterra 330 "
"Linear Phase Be"),
start_date=obspy.UTCDateTime(
"2013-10-22T19:30:00"),
end_date=obspy.UTCDateTime(
"2599-12-31T23:59:59"),
response=resp_3)
])
])
])
# Read from a filename.
filename = os.path.join(self.data_dir, "channel_level_fdsn.txt")
inv = read_fdsn_station_text_file(filename)
inv_obs = obspy.read_inventory(filename)
# Copy creation date as it will be slightly different otherwise.
inv.created = expected_inv.created
inv_obs.created = expected_inv.created
self.assertEqual(inv, expected_inv)
self.assertEqual(inv_obs, expected_inv)
# Read from open file in text mode.
with open(filename, "rt", encoding="utf8") as fh:
inv = read_fdsn_station_text_file(fh)
fh.seek(0, 0)
inv_obs = obspy.read_inventory(fh)
inv.created = expected_inv.created
inv_obs.created = expected_inv.created
self.assertEqual(inv, expected_inv)
self.assertEqual(inv_obs, expected_inv)
# Read from open file in binary mode.
with open(filename, "rb") as fh:
inv = read_fdsn_station_text_file(fh)
fh.seek(0, 0)
inv_obs = obspy.read_inventory(fh)
inv.created = expected_inv.created
inv_obs.created = expected_inv.created
self.assertEqual(inv, expected_inv)
self.assertEqual(inv_obs, expected_inv)
# Read from StringIO.
with open(filename, "rt", encoding="utf8") as fh:
with io.StringIO(fh.read()) as buf:
buf.seek(0, 0)
inv = read_fdsn_station_text_file(buf)
buf.seek(0, 0)
inv_obs = obspy.read_inventory(buf)
inv.created = expected_inv.created
inv_obs.created = expected_inv.created
self.assertEqual(inv, expected_inv)
self.assertEqual(inv_obs, expected_inv)
# Read from BytesIO.
with open(filename, "rb") as fh:
with io.BytesIO(fh.read()) as buf:
buf.seek(0, 0)
inv = read_fdsn_station_text_file(buf)
buf.seek(0, 0)
inv_obs = obspy.read_inventory(buf)
inv.created = expected_inv.created
inv_obs.created = expected_inv.created
self.assertEqual(inv, expected_inv)
self.assertEqual(inv_obs, expected_inv)