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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 get_compensation_matrix(ct21, ct31, ct12, ct32, ct13, ct23):
 """Compute crosstalk inversion matrix The spillover matrix is | | c11 c12 c13 | | | c21 c22 c23 | | | c31 c32 c33 | The diagonal elements are set to 1, i.e. ct11 = c22 = c33 = 1 Parameters cij: float Spill from channel i to channel j Returns ------- inv: np.ndarray Compensation matrix (inverted spillover matrix) """

    ct11 = 1
    ct22 = 1
    ct33 = 1

    if ct21 < 0:
        raise ValueError("ct21 matrix element must not be negative!")

    if ct31 < 0:
        raise ValueError("ct31 matrix element must not be negative!")

    if ct12 < 0:
        raise ValueError("ct12 matrix element must not be negative!")

    if ct32 < 0:
        raise ValueError("ct32 matrix element must not be negative!")

    if ct13 < 0:
        raise ValueError("ct13 matrix element must not be negative!")

    if ct23 < 0:
        raise ValueError("ct23 matrix element must not be negative!")

    crosstalk = np.array([[ct11, ct12, ct13],
                          [ct21, ct22, ct23],
                          [ct31, ct32, ct33],
                          ])
    return np.linalg.inv(crosstalk)