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0a4f337 | 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 28 29 30 31 32 33 34 35 | """Plot recorded V2 results without changing any experiments."""
from pathlib import Path
import json
import matplotlib
matplotlib.use('Agg')
import matplotlib.pyplot as plt
root=Path(__file__).resolve().parents[1]
s=json.loads((root/'results/v2_program_summary.json').read_text())
out=root/'figures';out.mkdir(exist_ok=True)
plt.rcParams.update({'font.family':'DejaVu Sans','font.size':9,'pdf.fonttype':42,
'axes.spines.top':False,'axes.spines.right':False})
names={'corrected':'Learned proposer + exact compiler','frozen_proposer':'Frozen proposer',
'no_feedback':'No-feedback lineage','direct_tournament':'Direct two-order tournament'}
colors={'corrected':'#167a64','frozen_proposer':'#7a698e','no_feedback':'#9b6a51','direct_tournament':'#648498'}
fig,axes=plt.subplots(1,2,figsize=(11,4.3))
for method,label in names.items():
r=[x for x in s['aggregate'] if x['method']==method]
g=[x['generation'] for x in r]
axes[0].plot(g,[x['mean_proposed_heldout_loss_ratio'] for x in r],'-o',color=colors[method],label=label,markersize=4)
axes[1].plot(g,[x['mean_heldout_loss_ratio'] for x in r],'-o',color=colors[method],label=label,markersize=4)
for ax in axes:
ax.set_xlabel('Proposal generation');ax.grid(alpha=.18);ax.set_xticks(range(1,6))
ax.set_ylabel('Held-out residual loss ratio; lower is better')
axes[0].set_title('Mean proposal quality improves')
axes[1].set_title('Best found: frozen proposer remains competitive')
axes[0].legend(fontsize=7.8,loc='upper right')
fig.suptitle('Bounded evidence-driven program proposal',fontsize=14)
fig.text(.5,-.01,'8 systems, 24 held-out initial states each; 240 training program executions per method and system. Fixed search algorithm.',ha='center',fontsize=8)
fig.tight_layout()
for ext in ['png','pdf']:
fig.savefig(out/f'v2_proposal_results.{ext}',dpi=180,bbox_inches='tight')
plt.close(fig)
print('Wrote v2_proposal_results.pdf and .png')
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