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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def align_unwrapped(sino):
 """Align an unwrapped phase array to zero-phase All operations are performed in-place. """

    samples = []
    if len(sino.shape) == 2:
        # 2D
        # take 1D samples at beginning and end of array
        samples.append(sino[:, 0])
        samples.append(sino[:, 1])
        samples.append(sino[:, 2])
        samples.append(sino[:, -1])
        samples.append(sino[:, -2])

    elif len(sino.shape) == 3:
        # 3D
        # take 1D samples at beginning and end of array
        samples.append(sino[:, 0, 0])
        samples.append(sino[:, 0, -1])
        samples.append(sino[:, -1, 0])
        samples.append(sino[:, -1, -1])
        samples.append(sino[:, 0, 1])

    # find discontinuities in the samples
    steps = np.zeros((len(samples), samples[0].shape[0]))
    for i in range(len(samples)):
        t = np.unwrap(samples[i])
        steps[i] = samples[i] - t

    # if the majority believes so, add a step of PI
    remove = mode(steps, axis=0)[0][0]

    # obtain divmod min
    twopi = 2*np.pi
    minimum = divmod_neg(np.min(sino), twopi)[0]
    remove += minimum*twopi

    for i in range(len(sino)):
        sino[i] -= remove[i]