Datasets:
Languages:
English
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< 1K
ArXiv:
Tags:
nanofabrication
photochemistry
photonics
mathematical-physics
optimal-control
reaction-diffusion
| #!/usr/bin/env python3 | |
| """Regenerate the manuscript's table fragments from the main verification ledger.""" | |
| from pathlib import Path | |
| import json | |
| ROOT=Path(__file__).resolve().parents[1] | |
| def table(header: str, rows: list[str], columns: str) -> str: | |
| return ('\\begin{center}\n\\begin{tabular}{@{}'+columns+'@{}}\n' | |
| '\\toprule\n'+header+' \\\\\n\\midrule\n'+''.join(rows)+ | |
| '\\bottomrule\n\\end{tabular}\n\\end{center}\n') | |
| def main(): | |
| d=json.loads((ROOT/'results'/'verification.json').read_text(encoding='utf-8')) | |
| out=ROOT/'source';out.mkdir(exist_ok=True) | |
| rows=[] | |
| for r in d['dose_table']: | |
| if r['q']==.5 and r['m'] in [2,3,4,8,16,32,64]: | |
| rows.append(f"{r['m']} & {r['action']:.6f} & {r['total_action']:.6f} & {r['ratio']:.9f} \\\\\n") | |
| (out/'dose_table.tex').write_text(table( | |
| r'$m$ & Per-gate action $u_m(1/2)$ & Total $U_m(1/2)$ & $U_m/m^3$',rows,'rrrr')) | |
| rows=[f"{r['action']:.3f} & {r['passes']:,} & {r['factor_gates']:,} & {r['error']:.6f} & {r['bound']:.6f} \\\\\n" | |
| for r in d['hazard_examples']] | |
| (out/'hazard_table.tex').write_text(table( | |
| r'$a$ & Passes & Patterned gates & Grid sup error & Global upper bound',rows,'rrrrr')) | |
| rows=[] | |
| for r in d['diffusion_examples']: | |
| if r['m'] in [4,6] and r['diffusion'] in [0.,.0001,.001]: | |
| rows.append(f"{r['m']} & {r['diffusion']:g} & {r['max_dark']:.6f} & {r['min_bright']:.6f} & {r['max_dark_bound']:.6f} \\\\\n") | |
| (out/'diffusion_table.tex').write_text(table( | |
| r'$m$ & $D_\theta$ & Maximum node fraction & Minimum midpoint fraction & Node upper bound',rows,'rrrrr')) | |
| print('Three table fragments regenerated.') | |
| if __name__=='__main__': | |
| main() | |