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test_stream.py
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test_stream.py
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# -*- coding: utf-8 -*-
from copy import deepcopy
import platform
import numpy as np
from obspy import Stream, Trace, UTCDateTime, read
from obspy.signal.filter import bandpass, bandstop, highpass, lowpass
import pytest
class TestStream():
"""
Test suite for obspy.core.stream.Stream.
"""
def test_filter(self):
"""
Tests the filter method of the Stream object.
Basically three scenarios are tested (with differing filter options):
- filtering with in_place=False:
- is original stream unchanged?
- is data of filtered stream's traces the same as if done by hand
- is processing information present in filtered stream's traces
- filtering with in_place=True:
- is data of filtered stream's traces the same as if done by hand
- is processing information present in filtered stream's traces
- filtering with bad arguments passed to stream.filter():
- is a TypeError properly raised?
- after all bad filter calls, is the stream still unchanged?
"""
# set specific seed value such that random numbers are reproducible
np.random.seed(815)
header = {'network': 'BW', 'station': 'BGLD',
'starttime': UTCDateTime(2007, 12, 31, 23, 59, 59, 915000),
'npts': 412, 'sampling_rate': 200.0,
'channel': 'EHE'}
trace1 = Trace(data=np.random.randint(0, 1000, 412),
header=deepcopy(header))
header['starttime'] = UTCDateTime(2008, 1, 1, 0, 0, 4, 35000)
header['npts'] = 824
trace2 = Trace(data=np.random.randint(0, 1000, 824),
header=deepcopy(header))
header['starttime'] = UTCDateTime(2008, 1, 1, 0, 0, 10, 215000)
trace3 = Trace(data=np.random.randint(0, 1000, 824),
header=deepcopy(header))
header['starttime'] = UTCDateTime(2008, 1, 1, 0, 0, 18, 455000)
header['npts'] = 50668
trace4 = Trace(data=np.random.randint(0, 1000, 50668),
header=deepcopy(header))
mseed_stream = Stream(traces=[trace1, trace2, trace3, trace4])
header = {'network': '', 'station': 'RNON ', 'location': '',
'starttime': UTCDateTime(2004, 6, 9, 20, 5, 59, 849998),
'sampling_rate': 200.0, 'npts': 12000,
'channel': ' Z'}
trace = Trace(data=np.random.randint(0, 1000, 12000), header=header)
gse2_stream = Stream(traces=[trace])
# streams to run tests on:
streams = [mseed_stream, gse2_stream]
# drop the longest trace of the first stream to save a second
streams[0].pop()
streams_bkp = deepcopy(streams)
# different sets of filters to run test on:
filters = [['bandpass', {'freqmin': 1., 'freqmax': 20.}],
['bandstop', {'freqmin': 5, 'freqmax': 15., 'corners': 6}],
['lowpass', {'freq': 30.5, 'zerophase': True}],
['highpass', {'freq': 2, 'corners': 2}]]
filter_map = {'bandpass': bandpass, 'bandstop': bandstop,
'lowpass': lowpass, 'highpass': highpass}
# tests for in_place=True
for j, st in enumerate(streams):
st_bkp = streams_bkp[j]
for filt_type, filt_ops in filters:
st = deepcopy(streams_bkp[j])
st.filter(filt_type, **filt_ops)
# test if all traces were filtered as expected
for i, tr in enumerate(st):
data_filt = filter_map[filt_type](
st_bkp[i].data,
df=st_bkp[i].stats.sampling_rate, **filt_ops)
np.testing.assert_array_equal(tr.data, data_filt)
assert 'processing' in tr.stats
assert len(tr.stats.processing) == 1
assert "filter" in tr.stats.processing[0]
assert filt_type in tr.stats.processing[0]
for key, value in filt_ops.items():
assert "'%s': %s" % (key, value) \
in tr.stats.processing[0]
st.filter(filt_type, **filt_ops)
for i, tr in enumerate(st):
assert 'processing' in tr.stats
assert len(tr.stats.processing) == 2
for proc_info in tr.stats.processing:
assert "filter" in proc_info
assert filt_type in proc_info
for key, value in filt_ops.items():
assert "'%s': %s" % (key, value) \
in proc_info
# some tests that should raise an Exception
st = streams[0]
st_bkp = streams_bkp[0]
bad_filters = [
['bandpass', {'freqmin': 1., 'XXX': 20.}],
['bandstop', [1, 2, 3, 4, 5]],
['bandstop', None],
['bandstop', 3],
['bandstop', 'XXX']]
for filt_type, filt_ops in bad_filters:
with pytest.raises(TypeError):
st.filter(filt_type, filt_ops)
bad_filters = [
['bandpass', {'freqmin': 1., 'XXX': 20.}],
['bandstop', {'freqmin': 5, 'freqmax': "XXX", 'corners': 6}],
['bandstop', {}],
['bandpass', {'freqmin': 5, 'corners': 6}],
['bandpass', {'freqmin': 5, 'freqmax': 20., 'df': 100.}]]
for filt_type, filt_ops in bad_filters:
with pytest.raises(TypeError):
st.filter(filt_type, **filt_ops)
bad_filters = [['XXX', {'freqmin': 5, 'freqmax': 20., 'corners': 6}]]
for filt_type, filt_ops in bad_filters:
with pytest.raises(ValueError):
st.filter(filt_type, **filt_ops)
# test if stream is unchanged after all these bad tests
for i, tr in enumerate(st):
np.testing.assert_array_equal(tr.data, st_bkp[i].data)
assert tr.stats == st_bkp[i].stats
def test_simulate(self):
"""
Tests if calling simulate of stream gives the same result as calling
simulate on every trace manually.
"""
st1 = read()
st2 = read()
paz_sts2 = {'poles': [-0.037004 + 0.037016j, -0.037004 - 0.037016j,
- 251.33 + 0j, -131.04 - 467.29j,
- 131.04 + 467.29j],
'zeros': [0j, 0j],
'gain': 60077000.0,
'sensitivity': 2516778400.0}
paz_le3d1s = {'poles': [-4.440 + 4.440j, -4.440 - 4.440j,
- 1.083 + 0.0j],
'zeros': [0.0 + 0.0j, 0.0 + 0.0j, 0.0 + 0.0j],
'gain': 0.4,
'sensitivity': 1.0}
st1.simulate(paz_remove=paz_sts2, paz_simulate=paz_le3d1s)
for tr in st2:
tr.simulate(paz_remove=paz_sts2, paz_simulate=paz_le3d1s)
# There is some strange issue on Win32bit (see #2188) and Win64bit (see
# #2330). Thus we just use assert_allclose() here instead of testing
# for full equality.
if platform.system() == "Windows": # pragma: no cover
for tr1, tr2 in zip(st1, st2):
assert tr1.stats == tr2.stats
np.testing.assert_allclose(tr1.data, tr2.data, rtol=1E-6,
atol=1E-6 * tr1.data.ptp())
else:
# Added (up to ###) to debug appveyor fails
for tr1, tr2 in zip(st1.sort(), st2.sort()):
assert tr1.stats == tr2.stats
np.testing.assert_allclose(tr1.data, tr2.data)
###
assert st1 == st2
def test_decimate(self):
"""
Tests if all traces in the stream object are handled as expected
by the decimate method on the trace object.
"""
# create test Stream
st = read()
st_bkp = st.copy()
# test if all traces are decimated as expected
st.decimate(10, strict_length=False)
for i, tr in enumerate(st):
st_bkp[i].decimate(10, strict_length=False)
assert tr == st_bkp[i]