Which assumption is NOT correct in a general learning setup:

a$.$ the learner has access to the the function that generates the true labels, but not to the underlying distribution generating the data

b$.$ the learner does not know the underlying distribution or the function generating the true labels

c$.$ the empirical error computation does not need to have access to the underlying distribution generating the data, but generalization error computation does