File size: 1,498 Bytes
08a9326 | 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 | """Offline native-token and prompt checks before freezing the pilot."""
import json
from encoding_tax.common import ROOT,load_config,write_json,digest,now,READERS
from encoding_tax.data import load_rows
from encoding_tax.tokenization import tokenizer
from encoding_tax.prompts import serialize,continue_answer
from .design import HERE,cases,truth,body,case_id
def main():
cfg=load_config(str(HERE/'config.json'));base=load_config()
rows=load_rows({'datasets':{'synthetic':cfg['dataset']}},'synthetic','pilot')
results={}
for reader in READERS:
p=base['models'][reader];tok=tokenizer(p['tokenizer_repo'],p['tokenizer_revision'])
maxanswer=0;maxprompt=0
for m in cases(rows,reader):
text,_=body(m,base);raw=serialize(p,text,'scratchpad');count=tok.count(raw)
maxprompt=max(maxprompt,count)
assert count+m['budget']+48+64<p['context_length'],case_id(m)
if m['mode']=='diagnostic':
n=tok.count(json.dumps(truth(m),separators=(',',':')));maxanswer=max(maxanswer,n)
assert n<=48,case_id(m)
results[reader]={'samples':1824,'maximum_initial_prompt_tokens':maxprompt,'maximum_canonical_diagnostic_tokens':maxanswer,'answer_cap':48,'context_verified':True}
print(reader,results[reader],flush=True)
write_json(HERE/'validation.json',{'recorded_at':now(),'offline_only':True,'config_sha256':digest(HERE/'config.json'),'readers':results})
if __name__=='__main__':main()
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