def test_timeseries_dt_uniform():
t = np.linspace(0, 10, 101) * mtr.s
test_result = mtr.TimeSeries(x=t, y=None).dt
check_result = 0.1 * mtr.s
assert test_result == check_result
def test_timeseries_T_negative_start():
t = np.linspace(-10, 10, 101) * mtr.s
test_result = mtr.TimeSeries(x=t, y=None).T
check_result = 20 * mtr.s
assert test_result == check_result
def test_timeseries_T():
t = np.linspace(0, 10, 101) * mtr.s
test_result = mtr.TimeSeries(x=t, y=None).T
check_result = 10 * mtr.s
assert test_result == check_result
def test_timeseries_dt_nonuniform():
t_value = np.hstack((np.linspace(0, 10, 101), np.linspace(11, 21, 101)))
t = t_value * mtr.s
with pytest.raises(ValueError):
mtr.TimeSeries(x=t, y=None).dt
def __init__(self, time, tddipole, applied_field=None):
super().__init__(time=time, series=tddipole)
self.tddipole = mtr.TimeSeries(x=time, y=tddipole)