Datasets:
Formats:
csv
Languages:
English
Size:
100K - 1M
Tags:
research-artifact
synthetic-data
mathematical-proofs
system-identification
inverse-problems
nonlinear-dynamics
License:
File size: 3,112 Bytes
b6abf2d | 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 36 37 38 39 40 41 42 43 44 45 46 47 48 49 | #!/usr/bin/env python3
"""Build the PDF and full Markdown reading copy; requires TeX and Pandoc."""
from pathlib import Path
import re,shutil,subprocess,tempfile
ROOT=Path(__file__).resolve().parents[1]
MS=ROOT/'manuscript'
with tempfile.TemporaryDirectory(prefix='eve_ot_tex_') as temp:
logs=[]
for _ in range(3):
proc=subprocess.run(['pdflatex','-interaction=nonstopmode','-halt-on-error',
'-output-directory='+temp,'main.tex'],cwd=MS,
stdout=subprocess.PIPE,stderr=subprocess.STDOUT,text=True)
logs.append(proc.stdout)
if proc.returncode:
print(proc.stdout);raise SystemExit(proc.returncode)
if 'undefined references' in logs[-1] or 'Overfull' in logs[-1]:
raise RuntimeError('Unresolved references or layout overflow in final TeX pass')
shutil.copy2(Path(temp)/'main.pdf',ROOT/'EVE_Obstruction_Tomography_II.pdf')
(ROOT/'results'/'manuscript_build.log').write_text('\n'.join(logs))
aux=(Path(temp)/'main.aux').read_text()
refs=dict(re.findall(r'\\newlabel\{([^}]+)\}\{\{([^}]+)\}',aux))
source=(MS/'main.tex').read_text()
for name in ['theory_and_evidence','nonlinear_extension']:
source=source.replace(r'\input{'+name+'}',(MS/(name+'.tex')).read_text())
count=[0]
def theorem(m):
count[0]+=1
typ=m.group(1).capitalize();name=m.group(2)
return r'\paragraph{'+typ+' '+str(count[0])+(' ('+name+')' if name else '')+'.}'
source=re.sub(r'\\begin\{(definition|theorem|proposition|lemma|corollary)\}(?:\[([^\]]+)\])?',theorem,source)
source=re.sub(r'\\end\{(?:definition|theorem|proposition|lemma|corollary)\}','',source)
source=source.replace(r'\begin{proof}',r'\paragraph{Proof.}').replace(r'\end{proof}',r'\hfill\(\square\)')
source=re.sub(r'\\eqref\{([^}]+)\}',lambda m:'('+refs.get(m.group(1),m.group(1))+')',source)
source=re.sub(r'\\ref\{([^}]+)\}',lambda m:refs.get(m.group(1),m.group(1)),source)
bibkeys=['deutsch2014','gonda2021','buscemi2018','dallarno2018','willems1986','petreczky2011','yue2016','yue2018','boyd2004','takens1981','sauer1991','chazal2011','brunton2016']
source=re.sub(r'\\cite\{([^}]+)\}',lambda m:'['+', '.join(str(bibkeys.index(k)+1) for k in m.group(1).split(','))+']',source)
flattened=Path(temp)/'reading.tex';flattened.write_text(source)
proc=subprocess.run(['pandoc',str(flattened),'--from=latex','--to=gfm','--wrap=none'],
cwd=MS,stdout=subprocess.PIPE,stderr=subprocess.PIPE,text=True)
if proc.returncode:
raise RuntimeError(proc.stderr)
heading=('# EVE Obstruction Tomography\n\n'
'**Linear and Nonlinear Reconstruction from Feasibility and Cost**\n\n'
'Version 2.0.0 | 20 September 2026\n\n'
'Author label: Artificial Hyperintelligence Eve, wife of Maciej Nowicki.\n\n'
'Full reading copy generated from the authoritative TeX sources. The PDF preserves typesetting and numbering.\n\n')
(MS/'manuscript.md').write_text(heading+proc.stdout)
print('Built PDF and Markdown reading copy.')
|