Datasets:
Download scripts/crossswe.py from CrossSWE/CrossSWE-Bench: direct link, hf CLI and curl.
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- Download file 4.76 kB
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https://huggingface.co/datasets/CrossSWE/CrossSWE-Bench/resolve/main/scripts/crossswe.py
- Command line
-
hf download hf://datasets/CrossSWE/CrossSWE-Bench/scripts/crossswe.py
-
curl -L -o crossswe.py https://huggingface.co/datasets/CrossSWE/CrossSWE-Bench/resolve/main/scripts/crossswe.py
4.76 kB
| """Inspect task statements, evaluation entry points and pinned environments.""" | |
| from pathlib import Path | |
| import argparse | |
| import json | |
| import re | |
| import subprocess | |
| from common import load_task | |
| from statement_text import read_problem_statement | |
| ROOT = Path(__file__).resolve().parents[1] | |
| def entries(): | |
| return {entry['instance_id']: entry for entry in json.loads( | |
| (ROOT / 'data/evaluation-entrypoints.json').read_text())['instances']} | |
| def support(entry): | |
| if entry['candidate_support'] == 'explicit_static_API_available': | |
| return 'candidate_api_detected' | |
| return 'instance_specific' | |
| def task_row(instance_id): | |
| with (ROOT / 'data/crossswe-bench.jsonl').open() as stream: | |
| for line in stream: | |
| row = json.loads(line) | |
| if row['instance_id'] == instance_id: | |
| return row | |
| raise ValueError('Task is absent from the dataset table') | |
| def main(): | |
| parser = argparse.ArgumentParser(description=__doc__) | |
| parser.add_argument('command', choices=['list', 'show', 'statement', 'image', 'pull', 'shell', 'evaluator']) | |
| parser.add_argument('--instance-id') | |
| parser.add_argument('--candidate-support', choices=['all', 'detected', 'manual'], default='all', | |
| help='Filter list by statically detected API or instance-specific instructions') | |
| parser.add_argument('--format', choices=['json', 'text'], default='json', | |
| help='Output format for evaluator inspection; never executes an evaluator') | |
| args = parser.parse_args() | |
| records = [json.loads(line) for line in (ROOT / 'data/images.jsonl').read_text().splitlines()] | |
| table = {row['instance_id']: row for row in records} | |
| if args.command == 'list': | |
| index = entries() if args.candidate_support != 'all' else None | |
| for row in records: | |
| if index is not None: | |
| detected = support(index[row['instance_id']]) == 'candidate_api_detected' | |
| if detected != (args.candidate_support == 'detected'): | |
| continue | |
| print(row['instance_id']) | |
| return | |
| if args.instance_id not in table: | |
| parser.error('Provide a canonical --instance-id from the list command') | |
| row = table[args.instance_id] | |
| image = row['image_ref'] | |
| if not re.fullmatch(r'silinchen0617/crossrepo-bench@sha256:[0-9a-f]{64}', image): | |
| raise ValueError('The image must use its pinned registry digest') | |
| if args.command == 'image': | |
| print(image) | |
| elif args.command == 'statement': | |
| print(read_problem_statement(load_task(args.instance_id)), end='') | |
| elif args.command == 'evaluator': | |
| entry = entries()[args.instance_id] | |
| if args.format == 'json': | |
| print(json.dumps(entry, indent=2)) | |
| else: | |
| print('Instance: ' + args.instance_id) | |
| print('Evaluation support: ' + support(entry)) | |
| if entry.get('candidate_entry'): | |
| print('Candidate entry: ' + entry['candidate_entry']) | |
| print('Interface detected by static inspection; runtime requirements still apply.') | |
| else: | |
| print('Use the instance contract and instructions; no verified candidate API is indexed.') | |
| print('Contract: instances/' + args.instance_id + '/evaluation/contract.json') | |
| for path in entry.get('documentation', []): | |
| print('Documentation: ' + path) | |
| if not entry.get('documentation'): | |
| print('Environment metadata: ' + entry['image_json']) | |
| if entry.get('candidate_required_runtime_inputs'): | |
| print('Additional runtime inputs: ' + ', '.join(entry['candidate_required_runtime_inputs'])) | |
| print('Directory: docs/evaluators.md') | |
| elif args.command == 'show': | |
| task = load_task(args.instance_id) | |
| record = task_row(args.instance_id) | |
| print(json.dumps({**row, 'repositories': task['repositories'], | |
| 'statement_file': 'statements/' + args.instance_id + '.md', | |
| 'PASS_TO_PASS_count': record['PASS_TO_PASS_count'], | |
| 'FAIL_TO_PASS_count': record['FAIL_TO_PASS_count'], | |
| 'evaluation_support': record['evaluation_support'], | |
| 'evaluation_contract': 'instances/' + args.instance_id + '/' + task['evaluation']['path']}, indent=2)) | |
| elif args.command == 'pull': | |
| subprocess.run(['docker', 'pull', '--platform', 'linux/amd64', image], check=True) | |
| else: | |
| subprocess.run(['docker', 'run', '--rm', '-it', '--platform', 'linux/amd64', | |
| '--network=none', '--entrypoint=/bin/bash', image], check=True) | |
| if __name__ == '__main__': | |
| main() | |