def calculate_dc_coefficients(contour):
    """Calculate the :math:`A_0` and :math:`C_0` coefficients of the elliptic Fourier series.

    :param numpy.ndarray contour: A contour array of size ``[M x 2]``.
    :return: The :math:`A_0` and :math:`C_0` coefficients.
    :rtype: tuple

    """
    dxy = np.diff(contour, axis=0)
    dt = np.sqrt((dxy ** 2).sum(axis=1))
    t = np.concatenate([([0., ]), np.cumsum(dt)])
    T = t[-1]

    xi = np.cumsum(dxy[:, 0]) - (dxy[:, 0] / dt) * t[1:]
    A0 = (1 / T) * np.sum(((dxy[:, 0] / (2 * dt)) * np.diff(t ** 2)) + xi * dt)
    delta = np.cumsum(dxy[:, 1]) - (dxy[:, 1] / dt) * t[1:]
    C0 = (1 / T) * np.sum(((dxy[:, 1] / (2 * dt)) * np.diff(t ** 2)) + delta * dt)

    # A0 and CO relate to the first point of the contour array as origin.
    # Adding those values to the coefficients to make them relate to true origin.
    return contour[0, 0] + A0, contour[0, 1] + C0
Calculate the :math:`A_0` and :math:`C_0` coefficients of the elliptic Fourier series.

    :param numpy.ndarray contour: A contour array of size ``[M x 2]``.
    :return: The :math:`A_0` and :math:`C_0` coefficients.
    :rtype: tuple