fpr and tpr are False Positive Rate and True Positive Rate respectively while your metrics are different FP and TP. You will get FPR and TPR from roc_curve() function.
y_test refers to the True Predictions i.e Ground Truth(y_true) and y_score are predictions generated by your model (y_pred).