| |
| |
| import os |
| import logging |
| import argparse |
|
|
| logger = logging.getLogger(__name__) |
| logging.basicConfig(level=logging.INFO) |
|
|
| def main(): |
| parser = argparse.ArgumentParser(description='Evaluate leaderboard predictions for code completion (token level).') |
| parser.add_argument('--answers', '-a', required=True, help="filename of the labels, in txt format.") |
| parser.add_argument('--predictions', '-p', required=True, help="filename of the leaderboard predictions, in txt format.") |
| args = parser.parse_args() |
|
|
| preds = open(args.predictions, "r").readlines() |
| gts = open(args.answers, "r").readlines() |
|
|
| assert len(preds) == len(gts), f"Samples of predictions and answers are not equal, {len(preds)}: {len(gts)}" |
|
|
| total = 0 |
| correct = 0.0 |
| for pred, gt in zip(preds, gts): |
| pred = pred.split() |
| gt = gt.split() |
| assert len(pred) == len(gt), f"Sequence length of prediction and answer are not equal, {len(pred)}: {len(gt)}" |
| for x, y in zip(pred, gt): |
| if y not in ["<s>", "</s>", "<EOL>", "<pad>"]: |
| total += 1 |
| if x == y: |
| correct += 1 |
| |
| logger.info(f"Total {total} tokens, accuracy: {round(correct/total*100, 2)}") |
|
|
| if __name__ == "__main__": |
| main() |
|
|
