File size: 7,311 Bytes
c69cbd2 | 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 50 51 52 53 54 55 56 57 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100 101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120 121 122 123 124 | from pathlib import Path
app_path = Path("app.py")
app = app_path.read_text(encoding="utf-8")
import_marker = "from voynich_lab.currier_report import build_currier_report\n"
import_block = (
"from voynich_lab.currier_report import build_currier_report\n"
"from voynich_lab.generator_adapters import SELFCITATION_ADAPTER_NAME, selfcitation_reference_matched\n"
"from voynich_lab.generators import generate_naibbe\n"
"from voynich_lab.selfcitation import SelfCitationConfig\n"
"from voynich_lab.selfcitation_generator import generate_selfcitation\n"
)
assert app.count(import_marker) == 1, "app import marker drifted"
app = app.replace(import_marker, import_block, 1)
function_marker = "# Every generator exposed to scorecard/discriminator obeys the same\n"
function_block = '''def run_naibbe_generator_ui(plaintext: str, seed: int):
if not plaintext.strip():
raise gr.Error("Naibbe requires meaningful plaintext input.")
result = generate_naibbe(plaintext, seed=int(seed))
return (
result.ciphertext,
result.canonical_ciphertext,
result.respaced_plaintext,
json.dumps(result.provenance, indent=2, sort_keys=True),
)
def run_selfcitation_generator_ui(lines: int, seed: int):
line_count = int(lines)
config = SelfCitationConfig(lines_to_create=line_count, random_seed=int(seed))
result = generate_selfcitation(config, lines_to_create=line_count)
summary = {
"generated_lines": len(result.lines),
"generated_characters": len(result.text),
"seed": int(seed),
"provenance": result.provenance,
}
return result.text, json.dumps(summary, indent=2, sort_keys=True)
'''
assert app.count(function_marker) == 1, "function insertion marker drifted"
app = app.replace(function_marker, function_block + function_marker, 1)
choice_marker = (
' "N6 position-conditioned Markov": lambda t, seed: '
'position_conditioned_markov_surrogate(t, n_bins=10, seed=seed),\n}'
)
choice_replacement = (
' "N6 position-conditioned Markov": lambda t, seed: '
'position_conditioned_markov_surrogate(t, n_bins=10, seed=seed),\n'
' SELFCITATION_ADAPTER_NAME: selfcitation_reference_matched,\n'
'}'
)
assert app.count(choice_marker) == 1, "generator choice marker drifted"
app = app.replace(choice_marker, choice_replacement, 1)
tab_marker = ' with gr.Tab("9 · Optional ZeroGPU probe"):\n'
generator_tab = ''' with gr.Tab("9 · Generator baselines"):
gr.Markdown(
"Validated hypothesis generators are kept separate from the N0–N6 null ladder. "
"Naibbe consumes meaningful plaintext; self-citation generates meaningless-but-structured pseudotext."
)
with gr.Tab("Self-citation pseudotext"):
with gr.Row():
sc_gen_lines = gr.Slider(2, 1200, value=120, step=1, label="Lines to generate")
sc_gen_seed = gr.Number(value=19, precision=0, label="Pseudo-RNG seed")
sc_gen_btn = gr.Button("Generate self-citation baseline", variant="primary")
sc_gen_text = gr.Textbox(label="Generated pseudotext", lines=14, interactive=False)
sc_gen_meta = gr.Code(label="Generation provenance", language="json")
sc_gen_btn.click(
run_selfcitation_generator_ui,
[sc_gen_lines, sc_gen_seed],
[sc_gen_text, sc_gen_meta],
)
gr.Markdown(
"The adversarial-validation dropdown also includes a size-matched self-citation adapter. "
"That adapter changes only the pseudo-RNG seed and requested line count; all other released settings remain canonical."
)
with gr.Tab("Naibbe meaningful cipher"):
naibbe_plaintext = gr.Textbox(
label="Meaningful plaintext",
lines=8,
placeholder="Paste Latin, Italian, or other alphabetic plaintext to encrypt…",
)
naibbe_seed = gr.Number(value=0, precision=0, label="Seed")
naibbe_btn = gr.Button("Generate Naibbe baseline")
naibbe_cipher = gr.Textbox(label="Final ciphertext (3% output-space removal)", lines=10, interactive=False)
naibbe_canonical = gr.Textbox(label="Canonical ciphertext before output-space removal", lines=10, interactive=False)
naibbe_respaced = gr.Textbox(label="Respaced plaintext n-grams", lines=8, interactive=False)
naibbe_meta = gr.Code(label="Generation provenance", language="json")
naibbe_btn.click(
run_naibbe_generator_ui,
[naibbe_plaintext, naibbe_seed],
[naibbe_cipher, naibbe_canonical, naibbe_respaced, naibbe_meta],
)
'''
assert app.count(tab_marker) == 1, "tab insertion marker drifted"
app = app.replace(tab_marker, generator_tab + ' with gr.Tab("10 · Optional ZeroGPU probe"):\n', 1)
hf_marker = ' with gr.Tab("10 · Hugging Face sync"):\n'
assert app.count(hf_marker) == 1, "HF tab marker drifted"
app = app.replace(hf_marker, ' with gr.Tab("11 · Hugging Face sync"):\n', 1)
app_path.write_text(app, encoding="utf-8")
readme_path = Path("README.md")
readme = readme_path.read_text(encoding="utf-8")
naibbe_bullet = '- **Naibbe meaningful-cipher baseline** (`generators.py`): the paper-facing 52-card `naibbe.py` algorithm, exact 414-row substitution table, isolated seeded RNG, and provenance metadata. CI compares seeded plaintext respacing, canonical ciphertext, final 3%-space-dropped ciphertext, and ambiguity retry count directly against the pinned original implementation.\n'
selfcitation_bullet = '- **Timm/Schinner self-citation pseudotext baseline** (`selfcitation_*.py`): the released Java generator is ported through RNG, glyph parsing, can-follow rules, source choice, statistics, slim morphing, and full generator orchestration. Dedicated CI gates compare the Python port against the pinned upstream Java implementation.\n'
assert readme.count(naibbe_bullet) == 1, "README Naibbe bullet drifted"
if selfcitation_bullet not in readme:
readme = readme.replace(naibbe_bullet, naibbe_bullet + selfcitation_bullet, 1)
old_gap = "1. **Generator library.** The paper-facing Naibbe 52-card baseline is implemented and source-equivalence-checked, and it remains explicitly classified as a meaningful-plaintext cipher rather than a null surrogate. The remaining generator gaps are the Timm/Schinner self-citation pseudotext family and a reproducible Rugg-style grille-cipher implementation; for both, prefer original authors' released code/data over prose-only approximations and preserve the meaningful-cipher versus meaningless-pseudotext distinction.\n"
new_gap = "1. **Generator library.** The paper-facing Naibbe 52-card meaningful-cipher baseline and the Timm/Schinner meaningless self-citation pseudotext family are both implemented and source-equivalence-checked. The remaining major generator gap is a reproducible Rugg-style grille-cipher implementation sourced from original released code/data rather than a prose-only approximation.\n"
assert readme.count(old_gap) == 1, "README generator-gap marker drifted"
readme = readme.replace(old_gap, new_gap, 1)
readme_path.write_text(readme, encoding="utf-8")
|