evaluate if point removal is necessary

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https://github.com/simoneponcioni/spline-mesher/blob/3c9d558608e9e291a52501b64106c622945bd7a1/src/spline_mesher/spline-volume-creation.py#L513

            self.xnew (numpy.ndarray): x array of sorted points interpolated with bspline and in the same direction
            self.ynew (numpy.ndarray): y array of sorted points interpolated with bspline and in the same direction
        """

        x = self.coordsX[image_slice == 1][0 :: self.UNDERSAMPLING]
        y = self.coordsY[image_slice == 1][0 :: self.UNDERSAMPLING]

        x_s, y_s = self.sort_xy(x, y)
        xy_sorted = np.c_[x_s, y_s]
        xy_sorted_closed = np.vstack([xy_sorted, xy_sorted[0]])
        x_mahalanobis, y_mahalanobis = self.sort_mahalanobis(
            xy_sorted.T, "mahalanobis", 0
        )
        x_mahalanobis = np.append(x_mahalanobis, x_mahalanobis[0])
        y_mahalanobis = np.append(y_mahalanobis, y_mahalanobis[0])

        # find the knot points
        tckp, u = splprep(
            [x_mahalanobis, y_mahalanobis],
            s=self.S,
            k=self.K,
            per=True,
            ub=[x_mahalanobis, y_mahalanobis][0],
            ue=[x_mahalanobis, y_mahalanobis][0],
        )

        # evaluate spline, including interpolated points
        xnew, ynew = splev(np.linspace(0, 1, self.INTERP_POINTS_S), tckp)
        xnew = np.append(xnew, xnew[0])
        ynew = np.append(ynew, ynew[0])

        # Sanity check to ensure directionality of sorting in cw- or ccw-direction
        xnew, ynew = self.check_orient(xnew, ynew, direction=1)
        return (
            xy_sorted_closed,
            xnew[1:],
            ynew[1:],
        )  # TODO: evaluate if point removal is necessary

    def input_sanity_check(self, ext_contour_s: np.ndarray, int_contour_s: np.ndarray):
        """