def test_tx_prior_week(self) -> None:
# transmitted at 0.01 second before start of week
tx_ = pd.DataFrame({
'week': [1999],
'day': [6],
'time': [cn.nanos_in_day - 1 * 10**7]
})
tx_gps = tm.gpsweek_to_gps(tx_.week, tx_.day,
tx_.time).convert_dtypes()
input_ = self.input
input_.loc[:, 'ReceivedSvTimeNanos'] = tm.gpsweek_to_gps(
0, 0, tx_.day * cn.nanos_in_day + tx_.time)
output = log.process_raw(input_)
pt.assert_extension_array_equal(output.tx.array,
tx_gps.array,
check_exact=True)
def setUp(self):
self.filedir = "./tests/data/"
self.filepath = self.filedir + "log_20200211.txt"
raw_var, fix = log.read_csv_(self.filepath)
self.gnss_obs = log.process_raw(raw_var[0:50])
self.gnss_fix = fix[0:1]
def test_joining(self) -> None:
raw_var, gnss_fix = log.read_csv_(self.filepath)
gnss_obs = log.process_raw(raw_var)
self.assertWarnsRegex(
UserWarning, '37 observations discarded without matching fix.',
log.join_receiver_position, gnss_obs, gnss_fix)
def test_processing(self) -> None:
raw_var, _ = log.read_csv_(self.filepath)
log.process_raw(raw_var)
def test_pr(self) -> None:
output = log.process_raw(self.input)
pt.assert_series_equal(
output.pr - pd.Series([9 * cn.lightspeed / 100]),
pd.Series([0.0]).convert_dtypes(convert_integer=False),
check_names=False)
def test_tx(self) -> None:
output = log.process_raw(self.input)
pt.assert_extension_array_equal(output.tx.array,
self.tx_gps.array,
check_exact=True)
def test_rx(self) -> None:
output = log.process_raw(self.input)
expected = tm.gpsweek_to_gps(self.rx.week, self.rx.day, self.rx.time)
pt.assert_extension_array_equal(output.rx.array,
expected.array,
check_exact=True)
def test_svid(self) -> None:
output = log.process_raw(self.input)
pt.assert_series_equal(output.svid,
pd.Series(["G01"],
name='svid').convert_dtypes(),
check_names=False)
