(y0, y1, y_mid, f0, f1, dt)
return [e, d, c, b, a]
Fit coefficients for 4th order polynomial interpolation.

    Args:
        y0: function value at the start of the interval.
        y1: function value at the end of the interval.
        y_mid: function value at the mid-point of the interval.
        f0: derivative value at the start of the interval.
        f1: derivative value at the end of the interval.
        dt: width of the interval.

    Returns:
        List of coefficients `[a, b, c, d, e]` for interpolating with the polynomial
        `p = a * x ** 4 + b * x ** 3 + c * x ** 2 + d * x + e` for values of `x`
        between 0 (start of interval) and 1 (end of interval).
Fit coefficients for 4th order polynomial interpolation.
Fit coefficients for 4th order polynomial interpolation .
def _interp_fit(y0, y1, y_mid, f0, f1, dt):
    """Fit coefficients for 4th order polynomial interpolation.

    Args:
        y0: function value at the start of the interval.
        y1: function value at the end of the interval.
        y_mid: function value at the mid-point of the interval.
        f0: derivative value at the start of the interval.
        f1: derivative value at the end of the interval.
        dt: width of the interval.

    Returns:
        List of coefficients `[a, b, c, d, e]` for interpolating with the polynomial
        `p = a * x ** 4 + b * x ** 3 + c * x ** 2 + d * x + e` for values of `x`
        between 0 (start of interval) and 1 (end of interval).
    """
    a = 2 * dt * (f1 - f0) - 8 * (y1 + y0) + 16 * y_mid
    b = dt * (5 * f0 - 3 * f1) + 18 * y0 + 14 * y1 - 32 * y_mid
    c = dt * (f1 - 4 * f0) - 11 * y0 - 5 * y1 + 16 * y_mid
    d = dt * f0
    e = y0
    return [e, d, c, b, a]
def _interp_fit ( y0 , y1 , y_mid , f0 , f1 , dt ) : a = 2 * dt * ( f1 - f0 ) - 8 * ( y1 + y0 ) + 16 * y_mid b = dt * ( 5 * f0 - 3 * f1 ) + 18 * y0 + 14 * y1 - 32 * y_mid c = dt * ( f1 - 4 * f0 ) - 11 * y0 - 5 * y1 + 16 * y_mid d = dt * f0 e = y0 return [ e , d , c , b , a ]