def test_normalize_out_of_bounds(self):
BaseMetric.max_value = 1
BaseMetric.min_value = -1
BaseMetric.goal = Goal.MAXIMIZE
raw_score = 2
with pytest.raises(ValueError):
BaseMetric.normalize(raw_score)
def test_normalize_out_of_bounds(self):
BaseMetric.max_value = 1
BaseMetric.min_value = -1
BaseMetric.goal = Goal.MAXIMIZE
raw_score = 2
error_msg = '`raw_score` must be between `min_value` and `max_value`.'
with pytest.raises(ValueError, match=error_msg):
BaseMetric.normalize(raw_score)
def test_normalize_bounded(self):
BaseMetric.max_value = 1
BaseMetric.min_value = -1
BaseMetric.goal = Goal.MAXIMIZE
raw_score = 0
normalized = BaseMetric.normalize(raw_score)
assert normalized == .5
def test_normalize_minimize(self):
BaseMetric.max_value = 1
BaseMetric.min_value = -1
BaseMetric.goal = Goal.MINIMIZE
raw_score = 1
normalized = BaseMetric.normalize(raw_score)
assert normalized == 0
def test_normalize_unbounded(self):
BaseMetric.max_value = float('inf')
BaseMetric.min_value = float('-inf')
BaseMetric.goal = Goal.MAXIMIZE
raw_score = 0
normalized = BaseMetric.normalize(raw_score)
assert normalized == .5
def test_normalize_low_bound(self):
BaseMetric.max_value = float('inf')
BaseMetric.min_value = -1
BaseMetric.goal = Goal.MAXIMIZE
raw_score = -1
normalized = BaseMetric.normalize(raw_score)
assert normalized == 0