ReChecker
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model error already solve
Modify the following two lines of correct code in each model file: vectors = np.stack(data.iloc[:, 0].values) labels = data.iloc[:, 1].values
Modify the following two lines of correct code in each model file: vectors = np.stack(data.iloc[:, 0].values) labels = data.iloc[:, 1].values
Are we supposed to train the data as is? in the train_data\reentrancy_1671.txt the dataset has not been converted to symbolic names (e.g., ‘‘VAR1’’, ‘‘VAR2’’)