| import sys | |
| import os | |
| sys.path.append(os.path.join(os.path.dirname(__file__), "../env")) | |
| from metric import score | |
| import pandas as pd | |
| import random | |
| def get_score(submission_folder = "../env"): | |
| submission_path = os.path.join(submission_folder, "submission.csv") | |
| solution = pd.read_csv(os.path.join(os.path.dirname(__file__), "answer.csv")) | |
| solution["osd"] = [random.randint(0, 1) for _ in range(len(solution))] | |
| submission = pd.read_csv(submission_path) | |
| s = score(solution, submission, row_id_column_name = "id") | |
| return s | |
| if __name__ == "__main__": | |
| print(get_score()) |