"""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()