def test_valid_input_interpolate():
ts_1 = ArrayTimeSeries([1, 2, 3], [0, 5, 10])
ts_2 = ArrayTimeSeries([100, -100], [2.5, 7.5])
ts_interpolate_test_1 = ts_1.interpolate([1])
assert ts_interpolate_test_1._value == [1.2]
assert ts_interpolate_test_1._time == [1]
ts_interpolate_test_2 = ts_1.interpolate([-100, 100])
assert ts_interpolate_test_2 == ArrayTimeSeries([1, 3], [-100, 100])
ts_interpolate_test_3 = ts_1.interpolate([2.5, 7.5])
assert ts_interpolate_test_3 == ArrayTimeSeries([1.5, 2.5], [2.5, 7.5])
assert ts_1.interpolate(ts_2.itertimes()) == ArrayTimeSeries([1.5, 2.5],
[2.5, 7.5])
def test_invalid_input_interpolate():
ts_1 = ArrayTimeSeries([1, 2, 3], [0, 5, 10])
with raises(TypeError):
ts_1.interpolate(1)
def test_interpolate_list():
ts = ArrayTimeSeries([0, 5, 10], [1, 2, 3])
assert ts.interpolate([7.5, 15]) == ArrayTimeSeries([7.5, 15], [2.5, 3])
def test_interpolate_big():
ts = ArrayTimeSeries([0, 5, 10], [1, 2, 3])
assert ts.interpolate([15]) == ArrayTimeSeries([15], [3])
def test_interpolate_small():
ts = ArrayTimeSeries([0, 5, 10], [1, 2, 3])
assert ts.interpolate([-5]) == ArrayTimeSeries([-5], [1])
def test_lazy():
ts = ArrayTimeSeries([0, 5, 10], [1, 2, 3])
# Simple cases
assert ts.interpolate([-100,
100]).lazy.eval() == ArrayTimeSeries([-100, 100],
[1, 3])
def test_interpolate2():
ts = ArrayTimeSeries([0, 5, 10], [1, 2, 3])
# Simple cases
assert ts.interpolate([-100, 100]) == ArrayTimeSeries([-100, 100], [1, 3])
def test_interpolate1():
ts = ArrayTimeSeries([0, 5, 10], [1, 2, 3])
# Simple cases
assert ts.interpolate([1]) == ArrayTimeSeries([1], [1.2])
