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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_cov_params(mass1, mass2, spin1z, spin2z, metricParams, fUpper, lambda1=None, lambda2=None, quadparam1=None, quadparam2=None):
 """ Function to convert between masses and spins and locations in the xi parameter space. Xi = Cartesian metric and rotated to principal components. Parameters mass1 : float Mass of heavier body. mass2 : float Mass of lighter body. spin1z : float Spin of body 1. spin2z : float Spin of body 2. metricParams : metricParameters instance Structure holding all the options for construction of the metric and the eigenvalues, eigenvectors and covariance matrix needed to manipulate the space. fUpper : float The value of fUpper to use when getting the mu coordinates from the lambda coordinates. This must be a key in metricParams.evals, metricParams.evecs and metricParams.evecsCV (ie. we must know how to do the transformation for the given value of fUpper) Returns -------- xis : list of floats or numpy.arrays Position of the system(s) in the xi coordinate system """


    # Do this by doing masses - > lambdas -> mus
    mus = get_conv_params(mass1, mass2, spin1z, spin2z, metricParams, fUpper,
                          lambda1=lambda1, lambda2=lambda2,
                          quadparam1=quadparam1, quadparam2=quadparam2)
    # and then mus -> xis
    xis = get_covaried_params(mus, metricParams.evecsCV[fUpper])
    return xis