def test_new_average():
obj = Ta()
obj.data = np.ones((5, 5))
obj.sweeps = [np.ones((5, 5)) * k for k in range(3)]
obj.n_sweeps = len(obj.sweeps)
obj.new_average([1, 1, 1])
assert obj.inc_sweeps == [1, 1, 1]
assert list(obj.data.ravel()) == [1] * 25
obj.new_average([1, 1, 0])
assert obj.inc_sweeps == [1, 1, 0]
assert list(obj.data.ravel()) == [0.5] * 25
def test_invert_sweeps():
obj = Ta()
obj.sweeps = [np.ones((5, 5)) * k for k in range(3)]
obj.n_sweeps = len(obj.sweeps)
obj.new_average([1, 1, 1])
obj.invert_sweeps([1, 1, 0])
assert list(obj.data.ravel()) == [1 / 3] * 25
obj.inc_sweeps = [1, 0, 1]
obj.invert_sweeps([1, 1, 0])
assert list(obj.data.ravel()) == [1] * 25
obj.invert_sweeps([1, 1, 1])
assert list(obj.data.ravel()) == [-1] * 25