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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 lnprior(pars):
 """ Return probability of parameter values according to prior knowledge. Parameter limits should be done here through uniform prior ditributions """

    # Limit norm and B to be positive
    logprob = (
        naima.uniform_prior(pars[0], 0.0, np.inf)
        + naima.uniform_prior(pars[1], -1, 5)
        + naima.uniform_prior(pars[3], 0, np.inf)
    )

    return logprob