| import fcntl,hashlib,json,os,sys,time,uuid |
| if hasattr(sys,'set_int_max_str_digits'):sys.set_int_max_str_digits(0) |
| from pathlib import Path |
| ROOT=Path(os.environ.get('TRANSFER_ROOT',str(Path(__file__).resolve().parents[1]))) |
| BASE=ROOT.parent |
|
|
| BASE_MODELS=Path(os.environ.get('RSI_BASE_MODELS_DIR', str(Path.home() / '.cache/rsi_anything/base_models'))).expanduser() |
| STATUS=['AC','WA','RE','TLE','CE'] |
|
|
| def read(p):return json.loads(Path(p).read_text()) |
| def lines(p):return [json.loads(x) for x in Path(p).open() if x.strip()] |
| def identity(x):return hashlib.sha256(json.dumps(x,sort_keys=True,ensure_ascii=False).encode()).hexdigest() |
| def seed(*parts):return int(identity(parts)[:8],16)%2147483647 |
| def sha(p): |
| h=hashlib.sha256() |
| with Path(p).open('rb') as f: |
| for b in iter(lambda:f.read(2**20),b''):h.update(b) |
| return h.hexdigest() |
| def atomic(p,value): |
| p=Path(p);p.parent.mkdir(parents=True,exist_ok=True) |
| tmp=p.with_name(p.name+'.'+str(os.getpid())+'.'+uuid.uuid4().hex+'.tmp');tmp.write_text(json.dumps(value,ensure_ascii=False));tmp.replace(p) |
| def write_lines(p,rows): |
| p=Path(p);p.parent.mkdir(parents=True,exist_ok=True) |
| p.write_text(''.join(json.dumps(x,ensure_ascii=False)+'\n' for x in rows)) |
| def cached(namespace,key,fn): |
| p=Path(os.environ.get('RSI_CODE_CACHE',str(Path.home()/'.cache/rsi_anything/code')))/namespace/(identity(key)+'.json');p.parent.mkdir(parents=True,exist_ok=True) |
| with p.with_suffix('.lock').open('a') as lock: |
| fcntl.flock(lock,fcntl.LOCK_EX) |
| if p.exists(): |
| item=read(p);assert item['key']==key;return item['value'] |
| value=fn();atomic(p,{'key':key,'value':value});return value |
|
|
| def summary(feedback): |
| results=feedback['results'] |
| return dict(all_pass=bool(results) and all(x['status']=='AC' for x in results),pass_fraction=sum(x['status']=='AC' for x in results)/max(1,len(results))) |
| def format_feedback(feedback): |
| return json.dumps([{k:r[k] for k in ('test_id','status','actual','stderr')} for r in feedback['results']],ensure_ascii=False) |
| def context(task,current,feedback,candidate): |
| return ('Whole-training-suite execution forecast. Only public observations are supplied.\n' |
| f"Problem:\n{task['problem']}\nCurrent program:\n{current}\n" |
| f"Trusted previous public execution:\n{format_feedback(feedback)}\nCandidate action:\n{candidate}\nOfficial public test suite:\n" |
| +json.dumps(task['public_tests'],ensure_ascii=False)) |
|
|
