import main
def solution(tests):
return [0]*len(tests)
if __name__ == '__main__':
main.update_answers(0, 1)
# result[2] = levels[level]
return result
def _get_users_features(user_id, users):
# users_types = {'S': 0, 'W': 1, 'NA': 2}
result = numpy.zeros(shape=(USER_FEATURES,))
result[0] = users[user_id]['solved_count']
result[1] = users[user_id]['attempts']
# result[2] = users_types[users[user_id]['user_type']]
return result
def get_feature_vector(problem_id, problems, user_id, users):
result = _get_problem_features(problem_id, problems)
result = numpy.concatenate((result, _get_users_features(user_id, users)))
assert len(result) == NUMBER_OF_FEATURES
return result
def solution(tests, train_problems, train_users, test_problems, test_users,
submissions):
purifying._purify_submissions_unique_rows(submissions)
return utils.solve(train_problems, train_users, submissions, tests,
test_problems, test_users, NUMBER_OF_FEATURES,
get_feature_vector)
if __name__ == '__main__':
main.update_answers(0, 0)
submissions,
tests,
train_problems,
train_users,
NUMBER_OF_FEATURES,
get_feature_vector,
)
# sbmt_low, sbmt_high = split_submissions(submissions, train_users)
# test_low, test_high, ids_low, ids_high = split_tests(tests, train_users)
# purifying._purify_submissions_unique_rows(sbmt_high)
# answer_labels = [0] * len(tests)
# temp_labels = utils.solve(train_problems, train_users, sbmt_low, test_low,
# train_problems, train_users,
# NUMBER_OF_FEATURES,
# get_feature_vector_for_low)
# utils.apply_results(answer_labels, temp_labels, ids_low)
# temp_labels = utils.solve(train_problems, train_users, sbmt_high,
# test_high, train_problems, train_users,
# NUMBER_OF_FEATURES,
# get_feature_vector_for_low)
# utils.apply_results(answer_labels, temp_labels, ids_high)
#
# print('u1p1 has ended, time =', time.clock())
# return answer_labels
if __name__ == "__main__":
main.update_answers(1, 1)
import main
def solution(tests):
return [0]*len(tests)
if __name__ == '__main__':
main.update_answers(1, 0)
