Datasets:
Formats:
csv
Languages:
English
Size:
< 1K
Tags:
mathematics
linear-algebra
convex-optimization
optimal-recovery
neural-representations
robustness
| """Regenerate manuscript tables from the two recorded JSON result files.""" | |
| from pathlib import Path | |
| import json | |
| ROOT=Path(__file__).resolve().parents[1] | |
| x=json.loads((ROOT/'data/neural_digits_results.json').read_text()) | |
| rows=[r'\begin{center}\small',r'\begin{tabular}{@{}rrrrr@{}}\toprule', | |
| r'Noise norm & Uniform accuracy & Optimized accuracy & Uniform RMSE & Optimized RMSE\\\midrule'] | |
| for eps in [0,.025,.05,.1,.2,.4]: | |
| a={r['method']:r for r in x['aggregates'] if r['noise_norm']==eps};u=a['uniform'];o=a['optimized'] | |
| rows.append(f"{eps:g} & {100*u['mean_accuracy']:.3f}\\% & {100*o['mean_accuracy']:.3f}\\% & {u['mean_reconstruction_RMSE']:.4f} & {o['mean_reconstruction_RMSE']:.4f}\\\\") | |
| rows += [r'\bottomrule\end{tabular}',r'\end{center}'] | |
| (ROOT/'manuscript/neural_table.tex').write_text('\n'.join(rows)) | |
| x=json.loads((ROOT/'data/mathematical_verification.json').read_text()) | |
| names=['Two-matrix primal--dual certificates','Determinant-budget reconstruction', | |
| 'Noncommuting analytic frontier','Primal--dual target brackets','General envelope solver', | |
| 'Tensor envelope certificates','Direct-sum composition','Nonassociative memory witness', | |
| 'Envelope domination','Infinite-ellipsoid witnesses','Two-resource prior linear programs', | |
| 'Passive dilation identity','Calibration perturbation bound','False averaging simplification'] | |
| rows=[r'\begin{center}\small',r'\begin{tabularx}{\textwidth}{@{}Xrr@{}}\toprule', | |
| r'Check group & Cases & Maximum reported residual\\\midrule'] | |
| for name,r in zip(names,x['groups']): | |
| rows.append(name+f" & {r['cases']} & \\texttt{{{r['max_residual']:.3g}}}\\\\") | |
| rows += [r'\midrule Total & 1,692 & All groups passed\\\bottomrule',r'\end{tabularx}\end{center}'] | |
| (ROOT/'manuscript/verification_table.tex').write_text('\n'.join(rows)) | |
| print('Two manuscript tables regenerated.') | |