in datasets/MixedPrioritizedSampler.py [0:0]
def get_manual_weights(self, lam):
# Merge balanced weights and uniform weights
if lam == 1:
manual_weights = self.balanced_weights
elif lam == 0:
manual_weights = np.ones(len(self.balanced_weights))
else:
manual_weights = self.balanced_weights * lam + (1-lam)
return manual_weights