functions in python precision_recall_curve

Im tryng to optimize my code:

The original code is:

precision, recall , tresholds_2 =precision_recall_curve(y_test, predicted_scores[:,1], pos_label=1)

tresholds_3=np.append(tresholds_2,1)

The function I have tried to perform is:

def precision_recall_curve (test,scores):
    precision, recall , tresholds_2 =precision_recall_curve(test, scores[:,1], pos_label=1)

    tresholds_3=np.append(tresholds_2,1)
    return ({precision, recall , tresholds_3})

And the mistake is:

from sklearn.metrics import precision_recall_curve

TBLE= precision_recall_curve(y_test,predicted_scores)

TBLE

-> 864 raise ValueError( 865 "y should be a 1d array, " 866 "got an array of shape {} instead.".format(shape))

ValueError: y should be a 1d array, got an array of shape (62499, 2) instead