def test_mean_overprediction_unweighted_single():
y_pred = [1]
y_true = [0]
result = metrics._mean_overprediction(y_true, y_pred)
assert result == 1
def test_mean_overprediction_unweighted():
y_pred = [0, 1, 2, 3, 4]
y_true = [1, 1, 5, 0, 2]
result = metrics._mean_overprediction(y_true, y_pred)
assert result == 1
def test_mean_overprediction_weighted():
y_pred = [0, 1, 2, 3, 4]
y_true = [1, 1, 5, 0, 2]
weight = [3, 1, 7, 1, 2]
result = metrics._mean_overprediction(y_true, y_pred, weight)
assert result == 0.5
