def test_writeSLISTFileMultipleTraces(self):
"""
Write SLIST file test via obspy.core.ascii.writeTSPAIR.
"""
testfile = os.path.join(self.path, 'data', 'slist_2_traces.ascii')
stream_orig = readSLIST(testfile)
tmpfile = NamedTemporaryFile().name
# write
writeSLIST(stream_orig, tmpfile)
# look at the raw data
lines = open(tmpfile, 'rt').readlines()
self.assertTrue(lines[0].startswith('TIMESERIES'))
self.assertTrue('SLIST' in lines[0])
self.assertEqual(lines[1].strip(), '185\t181\t185\t189\t194\t205')
# read again
stream = readSLIST(tmpfile)
stream.verify()
# sort traces to ensure comparable results
stream.sort()
self.assertEqual(stream[0].stats.network, 'XX')
self.assertEqual(stream[0].stats.station, 'TEST')
self.assertEqual(stream[0].stats.location, '')
self.assertEqual(stream[0].stats.channel, 'BHE')
self.assertEqual(stream[0].stats.sampling_rate, 40.0)
self.assertEqual(stream[0].stats.npts, 630)
self.assertEqual(stream[0].stats.starttime,
UTCDateTime("2008-01-15T00:00:00.025000"))
self.assertEqual(stream[0].stats.calib, 1.0e-00)
self.assertEqual(stream[0].stats.mseed.dataquality, 'R')
# check first 4 samples
data = [185, 181, 185, 189]
np.testing.assert_array_almost_equal(stream[0].data[0:4], data)
# check last 4 samples
data = [781, 785, 778, 772]
np.testing.assert_array_almost_equal(stream[0].data[-4:], data)
# second trace
self.assertEqual(stream[1].stats.network, 'XX')
self.assertEqual(stream[1].stats.station, 'TEST')
self.assertEqual(stream[1].stats.location, '')
self.assertEqual(stream[1].stats.channel, 'BHZ')
self.assertEqual(stream[1].stats.sampling_rate, 40.0)
self.assertEqual(stream[1].stats.npts, 635)
self.assertEqual(stream[1].stats.starttime,
UTCDateTime("2008-01-15T00:00:00.025000"))
self.assertEqual(stream[1].stats.calib, 1.0e-00)
self.assertEqual(stream[0].stats.mseed.dataquality, 'R')
# check first 4 samples
data = [185, 181, 185, 189]
np.testing.assert_array_almost_equal(stream[1].data[0:4], data)
# check last 4 samples
data = [761, 755, 748, 746]
np.testing.assert_array_almost_equal(stream[1].data[-4:], data)
# clean up
os.remove(tmpfile)
def test_writeSLISTFileMultipleTraces(self):
"""
Write SLIST file test via obspy.core.ascii.writeTSPAIR.
"""
testfile = os.path.join(self.path, 'data', 'slist_2_traces.ascii')
stream_orig = readSLIST(testfile)
with NamedTemporaryFile() as tf:
tmpfile = tf.name
# write
writeSLIST(stream_orig, tmpfile)
# look at the raw data
with open(tmpfile, 'rt') as f:
lines = f.readlines()
self.assertTrue(lines[0].startswith('TIMESERIES'))
self.assertTrue('SLIST' in lines[0])
self.assertEqual(lines[1].strip(), '185\t181\t185\t189\t194\t205')
# read again
stream = readSLIST(tmpfile)
stream.verify()
# sort traces to ensure comparable results
stream.sort()
self.assertEqual(stream[0].stats.network, 'XX')
self.assertEqual(stream[0].stats.station, 'TEST')
self.assertEqual(stream[0].stats.location, '')
self.assertEqual(stream[0].stats.channel, 'BHE')
self.assertEqual(stream[0].stats.sampling_rate, 40.0)
self.assertEqual(stream[0].stats.npts, 630)
self.assertEqual(stream[0].stats.starttime,
UTCDateTime("2008-01-15T00:00:00.025000"))
self.assertEqual(stream[0].stats.calib, 1.0e-00)
self.assertEqual(stream[0].stats.mseed.dataquality, 'R')
# check first 4 samples
data = [185, 181, 185, 189]
np.testing.assert_array_almost_equal(stream[0].data[0:4], data)
# check last 4 samples
data = [781, 785, 778, 772]
np.testing.assert_array_almost_equal(stream[0].data[-4:], data)
# second trace
self.assertEqual(stream[1].stats.network, 'XX')
self.assertEqual(stream[1].stats.station, 'TEST')
self.assertEqual(stream[1].stats.location, '')
self.assertEqual(stream[1].stats.channel, 'BHZ')
self.assertEqual(stream[1].stats.sampling_rate, 40.0)
self.assertEqual(stream[1].stats.npts, 635)
self.assertEqual(stream[1].stats.starttime,
UTCDateTime("2008-01-15T00:00:00.025000"))
self.assertEqual(stream[1].stats.calib, 1.0e-00)
self.assertEqual(stream[0].stats.mseed.dataquality, 'R')
# check first 4 samples
data = [185, 181, 185, 189]
np.testing.assert_array_almost_equal(stream[1].data[0:4], data)
# check last 4 samples
data = [761, 755, 748, 746]
np.testing.assert_array_almost_equal(stream[1].data[-4:], data)
def test_writeSLIST(self):
"""
Write SLIST file test via obspy.core.ascii.writeTSPAIR.
"""
# float32
testfile = os.path.join(self.path, 'data', 'slist_float.ascii')
stream_orig = readSLIST(testfile)
with NamedTemporaryFile() as tf:
tmpfile = tf.name
# write
writeSLIST(stream_orig, tmpfile)
# look at the raw data
with open(tmpfile, 'rt') as f:
lines = f.readlines()
self.assertEqual(
lines[0].strip(),
'TIMESERIES XX_TEST__BHZ_R, 12 samples, 40 sps, ' +
'2008-01-15T00:00:00.025000, SLIST, FLOAT, Counts')
self.assertEqual(
lines[1].strip(),
'185.009995\t181.020004\t185.029999\t189.039993\t' +
'194.050003\t205.059998')
# read again
stream = readSLIST(tmpfile)
stream.verify()
self.assertEqual(stream[0].stats.network, 'XX')
self.assertEqual(stream[0].stats.station, 'TEST')
self.assertEqual(stream[0].stats.location, '')
self.assertEqual(stream[0].stats.channel, 'BHZ')
self.assertEqual(stream[0].stats.sampling_rate, 40.0)
self.assertEqual(stream[0].stats.npts, 12)
self.assertEqual(stream[0].stats.starttime,
UTCDateTime("2008-01-15T00:00:00.025000"))
self.assertEqual(stream[0].stats.calib, 1.0e-00)
self.assertEqual(stream[0].stats.mseed.dataquality, 'R')
data = [
185.01, 181.02, 185.03, 189.04, 194.05, 205.06, 209.07, 214.08,
222.09, 225.98, 226.99, 219.00
]
np.testing.assert_array_almost_equal(stream[0].data,
data,
decimal=2)
# compare raw header
with open(testfile, 'rt') as f:
lines_orig = f.readlines()
with open(tmpfile, 'rt') as f:
lines_new = f.readlines()
self.assertEqual(lines_orig[0], lines_new[0])
def test_writeSLIST(self):
"""
Write SLIST file test via obspy.core.ascii.writeTSPAIR.
"""
# float32
testfile = os.path.join(self.path, 'data', 'slist_float.ascii')
stream_orig = readSLIST(testfile)
with NamedTemporaryFile() as tf:
tmpfile = tf.name
# write
writeSLIST(stream_orig, tmpfile)
# look at the raw data
with open(tmpfile, 'rt') as f:
lines = f.readlines()
self.assertEqual(
lines[0].strip(),
'TIMESERIES XX_TEST__BHZ_R, 12 samples, 40 sps, ' +
'2008-01-15T00:00:00.025000, SLIST, FLOAT, Counts')
self.assertEqual(
lines[1].strip(),
'185.009995\t181.020004\t185.029999\t189.039993\t' +
'194.050003\t205.059998')
# read again
stream = readSLIST(tmpfile)
stream.verify()
self.assertEqual(stream[0].stats.network, 'XX')
self.assertEqual(stream[0].stats.station, 'TEST')
self.assertEqual(stream[0].stats.location, '')
self.assertEqual(stream[0].stats.channel, 'BHZ')
self.assertEqual(stream[0].stats.sampling_rate, 40.0)
self.assertEqual(stream[0].stats.npts, 12)
self.assertEqual(stream[0].stats.starttime,
UTCDateTime("2008-01-15T00:00:00.025000"))
self.assertEqual(stream[0].stats.calib, 1.0e-00)
self.assertEqual(stream[0].stats.mseed.dataquality, 'R')
data = [185.01, 181.02, 185.03, 189.04, 194.05, 205.06,
209.07, 214.08, 222.09, 225.98, 226.99, 219.00]
np.testing.assert_array_almost_equal(stream[0].data, data,
decimal=2)
# compare raw header
with open(testfile, 'rt') as f:
lines_orig = f.readlines()
with open(tmpfile, 'rt') as f:
lines_new = f.readlines()
self.assertEqual(lines_orig[0], lines_new[0])
def test_writeSLIST(self):
"""
Write SLIST file test via obspy.core.ascii.writeTSPAIR.
"""
# float32
testfile = os.path.join(self.path, "data", "slist_float.ascii")
stream_orig = readSLIST(testfile)
tmpfile = NamedTemporaryFile().name
# write
writeSLIST(stream_orig, tmpfile)
# look at the raw data
lines = open(tmpfile, "rt").readlines()
self.assertEquals(
lines[0].strip(),
"TIMESERIES XX_TEST__BHZ_R, 12 samples, 40 sps, " + "2008-01-15T00:00:00.025000, SLIST, FLOAT, Counts",
)
self.assertEquals(
lines[1].strip(), "185.009995\t181.020004\t185.029999\t189.039993\t194.050003\t" + "205.059998"
)
# read again
stream = readSLIST(tmpfile)
stream.verify()
self.assertEqual(stream[0].stats.network, "XX")
self.assertEqual(stream[0].stats.station, "TEST")
self.assertEqual(stream[0].stats.location, "")
self.assertEqual(stream[0].stats.channel, "BHZ")
self.assertEqual(stream[0].stats.sampling_rate, 40.0)
self.assertEqual(stream[0].stats.npts, 12)
self.assertEqual(stream[0].stats.starttime, UTCDateTime("2008-01-15T00:00:00.025000"))
self.assertEqual(stream[0].stats.calib, 1.0e-00)
self.assertEqual(stream[0].stats.mseed.dataquality, "R")
data = [185.01, 181.02, 185.03, 189.04, 194.05, 205.06, 209.07, 214.08, 222.09, 225.98, 226.99, 219.00]
np.testing.assert_array_almost_equal(stream[0].data, data, decimal=2)
# compare raw header
lines_orig = open(testfile, "rt").readlines()
lines_new = open(tmpfile, "rt").readlines()
self.assertEqual(lines_orig[0], lines_new[0])
# clean up
os.remove(tmpfile)
