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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 anti_windup(self, xidx, xmin, xmax):
 """ Anti-windup limiter for state variables. Resets the limited variables and differential equations. :param xidx: state variable indices :param xmin: lower limit :param xmax: upper limit :type xidx: matrix, list :type xmin: matrix, float, int, list :type xmax: matrix, float, int, list """

        xidx = matrix(xidx)
        xval = self.x[xidx]
        fval = self.f[xidx]

        if isinstance(xmin, (float, int, list)):
            xmin = matrix(xmin, xidx.size, 'd')

        if isinstance(xmax, (float, int, list)):
            xmax = matrix(xmax, xidx.size, 'd')

        x_above = ageb(xval, xmax)
        f_above = ageb(fval, 0.0)

        x_below = aleb(xval, xmin)
        f_below = aleb(fval, 0.0)

        above = aandb(x_above, f_above)
        above_idx = index(above, 1.0)
        if len(above_idx) > 0:
            above_xidx = xidx[above_idx]
            self.x[above_xidx] = xmax[above_idx]
            self.zxmax[above_xidx] = 0

        below = aandb(x_below, f_below)
        below_idx = index(below, 1.0)
        if len(below_idx) > 0:
            below_xidx = xidx[below_idx]
            self.x[below_xidx] = xmin[below_idx]
            self.zxmin[below_xidx] = 0

        idx = list(above_idx) + list(below_idx)
        if len(idx) > 0:
            self.f[xidx[idx]] = 0
            self.ac_reset = True