def get_faq() -> dict[str, list[Any]]:
entries = FaqEntry.query.order_by(FaqEntry.view_count.desc()).all()
groups = sorted(r.group_by(lambda e: e.category, entries).items())
result = []
for k, v in groups:
v = sorted(v, key=lambda x: -(x.view_count or 0))
data = FaqEntrySchema().dump(v, many=True).data
result.append([k, data])
return {"categories": result, "entries": []}
def __get_feature_score(self, feature: str, data: Table):
values = data.get_values_by_headers([feature, 'rating']).rows
sets = R.group_by(lambda i: 'yes'
if i[feature] == 'y' else 'no', values)
yes_values = self.__get_labels((sets['yes']))
no_values = self.__get_labels((sets['no']))
guess_if_yes = mode(yes_values)
guess_if_no = mode(no_values)
def count_correct_guesses(set, guess):
return len(R.filter(lambda i: i == guess, set))
correct_yes_guesses = count_correct_guesses(yes_values, guess_if_yes)
correct_no_guesses = count_correct_guesses(no_values, guess_if_no)
score = (
(correct_yes_guesses + correct_no_guesses) / len(values)) * 100
return dict(score=score, feature=feature)
def group_by_empty():
assert_equal(group_by(grade)([]), {})
def test_group_by_no_curry():
assert_equal(group_by(grade, students), students_by_grade)