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):
# received 0.1 second after start of week
rx_ = pd.DataFrame({'week': [2000], 'day': [0], 'time': [1 * 10**8]})
# transmitted at 0.01 second after start of week
tx_ = pd.DataFrame({'week': [2000], 'day': [0], 'time': [1 * 10**7]})
d = {
'ConstellationType': [1],
'Svid': [1],
'TimeNanos': tm.gpsweek_to_gps(rx_.week, rx_.day, rx_.time),
'FullBiasNanos': [0],
'ReceivedSvTimeNanos': tm.gpsweek_to_gps(0, tx_.day, tx_.time),
'State': [9]
}
self.input = pd.DataFrame(d)
self.tx_gps = tm.gpsweek_to_gps(tx_.week, tx_.day,
tx_.time).convert_dtypes()
self.rx = rx_
def test_period_start_time(self) -> None:
import numpy as np
rx = self.input.TimeNanos[0]
state = 9
constellation = 'G'
expected = tm.gpsweek_to_gps(self.rx.week, pd.Series([0]),
pd.Series([0]))
pt.assert_series_equal(log.period_start_time(
pd.Series([rx]), pd.Series([state]), pd.Series([constellation])),
expected,
check_names=False,
check_dtype=False)
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_gps_gpsweek(self) -> None:
ns = pd.Series([604800*2000 * 10**9 + 1 * 10 ** 7],index=[2],name='foo').convert_dtypes()
ts = pd.DataFrame({'week':[2000],'day':[0],'time':[1 * 10 ** 7]},index=[2]).convert_dtypes()
pt.assert_frame_equal(tm.gps_to_gpsweek(ns),ts,check_exact=True)
pt.assert_series_equal(tm.gpsweek_to_gps(ts.week,ts.day,ts.time),ns,check_exact=True,check_names=False)
def test_gps_gpsweek(self) -> None:
ns = pd.Series([604800*2000 * 10**9 + 1 * 10 ** 7,pd.NA],dtype='Int64')
ts = pd.DataFrame({'week':[2000,pd.NA],'day':[0,pd.NA],'time':[1 * 10 ** 7,pd.NA]},dtype='Int64')
pt.assert_frame_equal(tm.gps_to_gpsweek(ns).astype('float64'),ts.astype('float64'),check_exact=True)
pt.assert_extension_array_equal(tm.gpsweek_to_gps(ts.week,ts.day,ts.time).array,ns.array,check_exact=True)