| import os,json,time,concurrent.futures as cf |
| from openai import OpenAI |
| from hard import H |
| from writing import W |
| c=OpenAI(base_url="https://router.huggingface.co/v1",api_key=os.environ.get("HF_TOKEN","x"),timeout=240) |
| SUF="\n\nஇறுதி விடையை மட்டும் கூறவும், வேறு எதுவும் வேண்டாம்." |
| jobs=[("hard",h,s) for h in H for s in range(3)]+[("write",w,0) for w in W] |
| def call(j): |
| split,it,s=j; content=it["ta"]+SUF if split=="hard" else it["prompt"] |
| for a in range(6): |
| try: |
| t=time.time() |
| r=c.chat.completions.create(model="reflection/Beam-1.0-501B-A23B",messages=[{"role":"user","content":content}],max_tokens=6000) |
| m=r.choices[0].message;u=r.usage |
| return dict(split=split,id=it["id"],sample=s,output=m.content,prompt_tokens=u.prompt_tokens,completion_tokens=u.completion_tokens,reasoning_tokens=u.completion_tokens_details.reasoning_tokens if u.completion_tokens_details else None,latency=round(time.time()-t,2),finish=r.choices[0].finish_reason) |
| except Exception as e: err=str(e)[:200]; time.sleep(4*(a+1)) |
| return dict(split=split,id=it["id"],sample=s,error=err) |
| with cf.ThreadPoolExecutor(6) as ex: R=list(ex.map(call,jobs)) |
| json.dump(R,open("hw_raw.json","w"),ensure_ascii=False,indent=1) |
| print(len(R),sum('error' in r for r in R)) |
|
|
