def test_complex(self):
td = TagDict()
td.add('tag')
rl = RecordList()
dt = datetime(year=2021, month=1, day=15, hour=21, minute=13)
rl.append(Record(dt, note='test'))
ws = WordSet()
with self.assertRaises(Exception):
ws.check_note('test')
ws.check_note('test', update=True)
self.assertEqual('0) tag', str(td))
self.assertEqual('[15.01.2021 21:13:00] <tag> test', str(rl))
ws.check_note('test')
db.save()
db.clear()
self.assertEqual('', str(td))
self.assertEqual('', str(rl))
with self.assertRaises(Exception):
ws.check_note('test')
db.load()
self.assertEqual('0) tag', str(td))
self.assertEqual('[15.01.2021 21:13:00] <tag> test', str(rl))
ws.check_note('test')
def read_cresis_mat(matfile):
""" Read in a CRESIS Antarctica/Greenland MATLAB datafile as a
`CommonOffsetGather`. """
C = scipy.io.loadmat(matfile)
R = RecordList(None)
R.lats = C['Latitude']
R.lons = C['Longitude']
R.timestamps = C['GPS_time']
R.sample_rate = 1.0 / np.diff(C['Time'][0]).mean() * np.ones(C['Data'].shape[0])
return CommonOffsetGather(C['Data'], line=0, metadata=R)
def read_pEKKO_as_gather(fstem):
lmeta, tmeta, darray = read_pulseEKKO(fstem)
metadata = RecordList(None)
smple_rate = float(lmeta.get("NOMINAL FREQUENCY", np.nan))
metadata.sample_rate = [smple_rate for i in range(len(tmeta))]
return CommonOffsetGather(darray, line=0, metadata=metadata)
def __init__(self):
self.tag_dict = TagDict()
self.word_set = WordSet()
self.record_list = RecordList()
def setUp(self) -> None:
db.load()
td = TagDict()
td.add('no tag')
td.add('test tag')
self._record_list = RecordList()
