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https://huggingface.co/datasets/PureOne/Echo-Mirror-RSI/resolve/main/code/v2_paired_analysis.py
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curl -L -o v2_paired_analysis.py https://huggingface.co/datasets/PureOne/Echo-Mirror-RSI/resolve/main/code/v2_paired_analysis.py
2.77 kB
| """Paired uncertainty summaries over the eight independently seeded systems.""" | |
| from pathlib import Path | |
| import csv | |
| import json | |
| import numpy as np | |
| def main(): | |
| root=Path(__file__).resolve().parents[1] | |
| rows=list(csv.DictReader((root/'results/v2_program_search.csv').open())) | |
| seeds=sorted({int(r['seed']) for r in rows}) | |
| def values(method,generation,key): | |
| return np.array([float(next(r[key] for r in rows if int(r['seed'])==seed and | |
| r['method']==method and int(r['generation'])==generation)) for seed in seeds]) | |
| rng=np.random.default_rng(811827) | |
| indices=rng.integers(0,len(seeds),size=(100000,len(seeds))) | |
| results={} | |
| comparisons=[('proposal_vs_frozen','mean_proposed_heldout_loss_ratio','frozen_proposer',5), | |
| ('proposal_vs_own_initial','mean_proposed_heldout_loss_ratio','corrected',1), | |
| ('proposal_vs_no_feedback','mean_proposed_heldout_loss_ratio','no_feedback',5), | |
| ('proposal_vs_gateblind','mean_proposed_heldout_loss_ratio','gate_blind',5), | |
| ('proposal_vs_direct_tournament','mean_proposed_heldout_loss_ratio','direct_tournament',5), | |
| ('best_found_vs_frozen','heldout_loss_ratio','frozen_proposer',5)] | |
| for name,key,comparison,generation in comparisons: | |
| ours=values('corrected',5,key);base=values(comparison,generation,key) | |
| difference=base-ours | |
| boot=difference[indices].mean(axis=1) | |
| relative=(base[indices].mean(axis=1)-ours[indices].mean(axis=1))/base[indices].mean(axis=1) | |
| results[name]={'positive_favors_corrected':True,'system_ids':seeds, | |
| 'paired_differences':difference.tolist(),'mean_difference':float(difference.mean()), | |
| 'bootstrap_95_percentile_interval':np.quantile(boot,[.025,.975]).tolist(), | |
| 'relative_reduction_of_mean':float((base.mean()-ours.mean())/base.mean()), | |
| 'bootstrap_relative_95_percentile_interval':np.quantile(relative,[.025,.975]).tolist(), | |
| 'systems_favoring_corrected':int(np.count_nonzero(difference>0)), | |
| 'systems_favoring_comparator':int(np.count_nonzero(difference<0))} | |
| out={'independent_units':'eight seeded quadratic systems, not individual states or candidate programs', | |
| 'bootstrap_resamples':100000,'bootstrap_seed':811827, | |
| 'warning':'Descriptive paired percentile intervals for this small constructed task distribution; not evidence of general-purpose RSI or broad benchmark superiority. The pilot and repair were not a controlled single-factor comparison.', | |
| 'comparisons':results} | |
| (root/'results/v2_paired_analysis.json').write_text(json.dumps(out,indent=2)+'\n') | |
| print(json.dumps(results,indent=2)) | |
| if __name__=='__main__':main() | |