def test_smoke_string_groups(self, transform_feature):
sf_name = "My SF"
sf_vals = transform_feature(['b', 'a', 'c', 'a', 'b'])
sf = {sf_name: sf_vals}
result = _process_sensitive_features(sf)
assert isinstance(result, list)
assert len(result) == 1
assert result[0]['featureBinName'] == sf_name
assert result[0]['binVector'] == [1, 0, 2, 0, 1]
assert result[0]['binLabels'] == ["a", "b", "c"]
def test_smoke(self, transform_feature):
sf_name = "My SF"
sf_vals = transform_feature([1, 3, 3, 1])
sf = {sf_name: sf_vals}
result = _process_sensitive_features(sf)
assert isinstance(result, list)
assert len(result) == 1
assert result[0]['featureBinName'] == sf_name
assert result[0]['binVector'] == [0, 1, 1, 0]
assert result[0]['binLabels'] == ["1", "3"]
def test_result_is_sorted(self):
sf_vals = [1, 2, 3, 1]
sf = {"b": sf_vals, "a": sf_vals, "c": sf_vals}
result = _process_sensitive_features(sf)
assert isinstance(result, list)
assert len(result) == 3
for r in result:
assert r['binVector'] == [0, 1, 2, 0]
assert r['binLabels'] == ['1', '2', '3']
result_names = [r['featureBinName'] for r in result]
assert result_names == ["a", "b", "c"]
