Loss Function - Not the PCF?

Hello, when looking at the likelihood function for the Weibull,  I derived a different function than you do. Here is your function:

loglikelihoods = censored * (K.log(shape) + shape * K.log(x)) - K.pow(x, shape)

However when I do this, I end up with a K.log(scale) term as well. Can you explain how you arrived at your loglikelihood function? I can provide my working if necessary 