def test_timeserie_tochannel():
a = TimeSerie([-2, -1, 0, 1, 2, 3, 4, 5], name="a", fs=1, t0=3)
b = TimeSerie.empty(0, 20, fs=1)
a.to_channel(b)
assert len(a) == 20
assert a.t0 == 0
assert a.te == 19
assert a.at(3) == -2
assert a.at(4) == -1
assert a.at(5) == 0
assert a.at(6) == 1
assert a.at(7) == 2
assert a.at(8) == 3
assert a.at(9) == 4
assert a.at(10) == 5
c = TimeSerie([-2, -1, 0, 1, 2, 3, 4, 5], name="a", fs=1, t0=3)
d = TimeSerie.empty(0, 20, fs=2)
with pytest.raises(ValueError):
c.to_channel(d)
e = TimeSerie([-2, -1, 0, 1, 2, 3, 4, 5], name="a", fs=1, t0=3)
f = TimeSerie.empty(4, 20, fs=1)
with pytest.raises(DataLossError):
e.to_channel(f)
g = TimeSerie([-2, -1, 0, 1, 2, 3, 4, 5], name="a", fs=1, t0=3)
h = TimeSerie.empty(0, 8, fs=1)
with pytest.raises(DataLossError):
g.to_channel(h)
i = TimeSerie([-2, -1, 0, 1, 2, 3, 4, 5], name="a", fs=1, t0=3)
j = TimeSerie.empty(0.5, 20.5, fs=1)
with pytest.raises(ValueError):
i.to_channel(j)
return True
def test_timeserie_empty():
a = TimeSerie.empty(1, 10, fs=10, name="a")
assert len(a) == 90
assert a.te == 9.9
b = TimeSerie.empty(2, 5, fs=4, name="b", inclusive=True)
assert len(b) == 13
assert b.te == 5.0
c = TimeSerie.empty(
dt.datetime(2018, 1, 1, 12),
dt.datetime(2018, 1, 1, 13),
fs=1,
name="c",
inclusive=True,
)
assert c.te - c.t0 == 3600.0
d = TimeSerie.empty(1.2, 4.8, fs=100, name="d")
assert d.t0 == 1.2
assert d.te == 4.79
return True
