Trying to understand decision function for SVC RBF kernel by Implementing manually but not getting same output as sklearns decision funstion

Question

X, y = make_classification(n_samples=5000, n_features=5, n_redundant=2,
                           n_classes=2, weights=[0.7], class_sep=0.7, random_state=15)
xtrain,xte