def test_trace():
data = np.random.rand(1000)
header = {
'sampling_rate': 1,
'npts': len(data),
'network': 'US',
'location': '11',
'station': 'ABCD',
'channel': 'HN1',
'starttime': UTCDateTime(2010, 1, 1, 0, 0, 0)
}
inventory = get_inventory()
invtrace = StationTrace(data=data, header=header, inventory=inventory)
invtrace.setProvenance('detrend', {'detrending_method': 'demean'})
invtrace.setParameter('failed', True)
invtrace.setParameter('corner_frequencies', [1, 2, 3])
invtrace.setParameter('metadata', {'name': 'Fred'})
assert invtrace.getProvenance('detrend')[0] == {
'detrending_method': 'demean'
}
assert invtrace.getParameter('failed')
assert invtrace.getParameter('corner_frequencies') == [1, 2, 3]
assert invtrace.getParameter('metadata') == {'name': 'Fred'}
prov = invtrace.getProvSeries()
assert prov[0] == 'demean'
def test_trace():
data = np.random.rand(1000)
header = {
"sampling_rate": 1,
"npts": len(data),
"network": "US",
"location": "11",
"station": "ABCD",
"channel": "HN1",
"starttime": UTCDateTime(2010, 1, 1, 0, 0, 0),
}
inventory = get_inventory()
invtrace = StationTrace(data=data, header=header, inventory=inventory)
invtrace.setProvenance("detrend", {"detrending_method": "demean"})
invtrace.setParameter("failed", True)
invtrace.setParameter("corner_frequencies", [1, 2, 3])
invtrace.setParameter("metadata", {"name": "Fred"})
assert invtrace.getProvenance("detrend")[0] == {
"detrending_method": "demean"
}
assert invtrace.getParameter("failed")
assert invtrace.getParameter("corner_frequencies") == [1, 2, 3]
assert invtrace.getParameter("metadata") == {"name": "Fred"}
prov = invtrace.getProvSeries()
assert prov[0] == "demean"
