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15
  "source_kind": "sml",
16
  "source_notes": [],
17
  "source_version": null
18
  },
19
  "DC": {
20
+ "circuit_rows": 353,
21
+ "cropped_rows": 14,
22
  "display_name": "Lessons In Electric Circuits, Volume I \u2013 DC",
23
  "pdf_name": "DC.pdf",
24
  "pdf_origin": "bundled",
25
  "pdf_path_used": "/workspace/SchemID/SchemSourceAvailable/DC.pdf",
26
  "pdf_url_used": null,
27
  "pdf_version_sync": true,
28
+ "pruned_rows": 15,
29
  "referenced_figures": 787,
30
+ "sanitized_rows": 13,
31
  "source_kind": "sml",
32
  "source_notes": [],
33
  "source_version": null
34
  },
35
  "DIGI": {
36
  "circuit_rows": 358,
37
+ "cropped_rows": 6,
38
  "display_name": "Lessons In Electric Circuits, Volume IV \u2013 Digital",
39
  "pdf_name": "DIGI.pdf",
40
  "pdf_origin": "bundled",
41
  "pdf_path_used": "/workspace/SchemID/SchemSourceAvailable/DIGI.pdf",
42
  "pdf_url_used": null,
43
  "pdf_version_sync": true,
44
+ "pruned_rows": 0,
45
  "referenced_figures": 674,
46
+ "sanitized_rows": 0,
47
  "source_kind": "sml",
48
  "source_notes": [],
49
  "source_version": null
50
  },
51
  "EXP": {
52
+ "circuit_rows": 279,
53
+ "cropped_rows": 9,
54
  "display_name": "Lessons In Electric Circuits, Volume VI \u2013 Experiments",
55
  "pdf_name": "EXP.pdf",
56
  "pdf_origin": "bundled",
57
  "pdf_path_used": "/workspace/SchemID/SchemSourceAvailable/EXP.pdf",
58
  "pdf_url_used": null,
59
  "pdf_version_sync": true,
60
+ "pruned_rows": 2,
61
  "referenced_figures": 396,
62
+ "sanitized_rows": 0,
63
  "source_kind": "sml",
64
  "source_notes": [],
65
  "source_version": null
66
  },
67
  "LIII": {
68
+ "circuit_rows": 114,
69
+ "cropped_rows": 11,
70
  "display_name": "Lessons In Industrial Instrumentation",
71
  "pdf_name": "liii_2v16.pdf",
72
  "pdf_origin": "downloaded",
73
  "pdf_path_used": "/workspace/SchemID/derived/Source/work/cache/pdfs/liii_2v16.pdf",
74
  "pdf_url_used": "https://www.ibiblio.org/kuphaldt/socratic/sinst/book/liii_2v16.pdf",
75
  "pdf_version_sync": true,
76
+ "pruned_rows": 3,
77
  "referenced_figures": 2714,
78
+ "sanitized_rows": 0,
79
  "source_kind": "latex",
80
  "source_notes": [
81
  "Using the source-matched Lessons in Industrial Instrumentation version 2.16 PDF downloaded from ibiblio for verification."
 
83
  "source_version": "2.16"
84
  },
85
  "REF": {
86
+ "circuit_rows": 42,
87
+ "cropped_rows": 1,
88
  "display_name": "Lessons In Electric Circuits, Volume V \u2013 Reference",
89
  "pdf_name": "REF.pdf",
90
  "pdf_origin": "bundled",
91
  "pdf_path_used": "/workspace/SchemID/SchemSourceAvailable/REF.pdf",
92
  "pdf_url_used": null,
93
  "pdf_version_sync": true,
94
+ "pruned_rows": 1,
95
  "referenced_figures": 164,
96
+ "sanitized_rows": 0,
97
  "source_kind": "sml",
98
  "source_notes": [],
99
  "source_version": null
100
  },
101
  "SEMI": {
102
+ "circuit_rows": 336,
103
+ "cropped_rows": 34,
104
  "display_name": "Lessons In Electric Circuits, Volume III \u2013 Semiconductors",
105
  "pdf_name": "SEMI.pdf",
106
  "pdf_origin": "bundled",
107
  "pdf_path_used": "/workspace/SchemID/SchemSourceAvailable/SEMI.pdf",
108
  "pdf_url_used": null,
109
  "pdf_version_sync": true,
110
+ "pruned_rows": 3,
111
  "referenced_figures": 630,
112
+ "sanitized_rows": 0,
113
  "source_kind": "sml",
114
  "source_notes": [],
115
  "source_version": null
derived/Source/metadata/verification_summary.json CHANGED
@@ -1,81 +1,81 @@
1
  {
2
  "books": {
3
  "AC": {
4
- "html_png_exact_false": 253,
5
  "html_png_exact_missing": 0,
6
- "html_png_exact_true": 50,
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- "pdf_proxy_verified_false": 253,
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  "reference_png_exact_missing": 0,
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- "reference_png_exact_true": 50,
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- "rows": 303
13
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  "DC": {
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  "html_png_exact_missing": 0,
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24
  },
25
  "DIGI": {
26
- "html_png_exact_false": 0,
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  "html_png_exact_missing": 0,
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36
  "EXP": {
37
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38
  "html_png_exact_missing": 0,
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- "html_png_exact_true": 281,
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46
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47
  "LIII": {
48
  "html_png_exact_false": 0,
49
- "html_png_exact_missing": 117,
50
  "html_png_exact_true": 0,
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- "pdf_proxy_verified_false": 117,
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57
  },
58
  "REF": {
59
- "html_png_exact_false": 0,
60
  "html_png_exact_missing": 0,
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- "html_png_exact_true": 43,
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- "pdf_proxy_verified_false": 0,
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65
  "reference_png_exact_missing": 0,
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- "reference_png_exact_true": 43,
67
- "rows": 43
68
  },
69
  "SEMI": {
70
- "html_png_exact_false": 3,
71
  "html_png_exact_missing": 0,
72
- "html_png_exact_true": 336,
73
- "pdf_proxy_verified_false": 3,
74
- "pdf_proxy_verified_true": 336,
75
- "reference_png_exact_false": 3,
76
  "reference_png_exact_missing": 0,
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- "reference_png_exact_true": 336,
78
- "rows": 339
79
  }
80
  }
81
  }
 
1
  {
2
  "books": {
3
  "AC": {
4
+ "html_png_exact_false": 247,
5
  "html_png_exact_missing": 0,
6
+ "html_png_exact_true": 47,
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13
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+ "html_png_exact_true": 326,
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+ "reference_png_exact_true": 326,
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24
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25
  "DIGI": {
26
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35
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36
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37
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+ "reference_png_exact_true": 274,
45
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46
  },
47
  "LIII": {
48
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49
+ "html_png_exact_missing": 114,
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51
+ "pdf_proxy_verified_false": 114,
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+ "reference_png_exact_missing": 114,
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  "reference_png_exact_true": 0,
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+ "rows": 114
57
  },
58
  "REF": {
59
+ "html_png_exact_false": 1,
60
  "html_png_exact_missing": 0,
61
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62
+ "pdf_proxy_verified_false": 1,
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64
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65
  "reference_png_exact_missing": 0,
66
+ "reference_png_exact_true": 41,
67
+ "rows": 42
68
  },
69
  "SEMI": {
70
+ "html_png_exact_false": 29,
71
  "html_png_exact_missing": 0,
72
+ "html_png_exact_true": 307,
73
+ "pdf_proxy_verified_false": 29,
74
+ "pdf_proxy_verified_true": 307,
75
+ "reference_png_exact_false": 29,
76
  "reference_png_exact_missing": 0,
77
+ "reference_png_exact_true": 307,
78
+ "rows": 336
79
  }
80
  }
81
  }
derived/Source/scripts/build_circuit_dataset.py CHANGED
@@ -4,6 +4,7 @@ from __future__ import annotations
4
 
5
  import argparse
6
  import json
 
7
  import os
8
  import re
9
  import shutil
@@ -17,6 +18,7 @@ from dataclasses import dataclass
17
  from pathlib import Path
18
  from typing import Any
19
 
 
20
  import pyarrow as pa
21
  import pyarrow.parquet as pq
22
  from datasets import Dataset, Features, Image as HFImage, Value
@@ -65,9 +67,87 @@ CIRCUIT_PROCEDURE_WHITELIST = {
65
  "source",
66
  "transistor2",
67
  }
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
68
 
69
  XCIRCUIT_CREATOR_RE = re.compile(r"^%%Creator:\s*(.+)$", re.M)
70
  EPS_PROC_RE = re.compile(r"^/([A-Za-z][A-Za-z0-9_-]*)\s*\{", re.M)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
71
  SML_TOKEN_RE = re.compile(
72
  r"(?P<chapter><chaptertitle>(?P<chapter_text>.*?)</chaptertitle>)"
73
  r"|(?P<section><sectiontitle>(?P<section_text>.*?)</sectiontitle>)"
@@ -391,6 +471,456 @@ def parse_eps_metadata(eps_path: Path) -> dict[str, Any]:
391
  }
392
 
393
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
394
  def write_no_text_eps(source_code: str, output_path: Path) -> None:
395
  needle = "%%EndComments\n"
396
  if needle in source_code:
@@ -441,21 +971,41 @@ def render_task(task: dict[str, Any]) -> dict[str, Any]:
441
  output_png = Path(task["output_png"])
442
  no_text_png = Path(task["no_text_png"])
443
  temp_no_text_eps = Path(task["temp_no_text_eps"])
 
 
444
  reference_png = Path(task["reference_png"]) if task["reference_png"] else None
445
  html_png = Path(task["html_png"]) if task["html_png"] else None
446
  pdf_text_path = Path(task["pdf_text_path"]) if task["pdf_text_path"] else None
447
  captions = task["captions"]
448
  source_code = task["source_code"]
 
 
449
  render_device = "pnggray"
450
  reference_png_exact = None
451
- if reference_png and reference_png.exists():
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
452
  render_device = "pngalpha"
453
  render_eps_to_png(eps_path, output_png, device=render_device)
454
- reference_png_exact = images_equal_rgba(output_png, reference_png)
455
  if not reference_png_exact:
456
  render_device = "pnggray"
457
  render_eps_to_png(eps_path, output_png, device=render_device)
458
- reference_png_exact = images_equal_rgba(output_png, reference_png)
459
  else:
460
  render_eps_to_png(eps_path, output_png, device=render_device)
461
 
@@ -465,8 +1015,8 @@ def render_task(task: dict[str, Any]) -> dict[str, Any]:
465
  no_text_status = "rendered"
466
 
467
  html_exact = None
468
- if html_png:
469
- html_exact = images_equal_rgba(output_png, html_png)
470
 
471
  pdf_caption_pages: list[int] = []
472
  if pdf_text_path.exists() and captions:
@@ -538,15 +1088,13 @@ def main() -> None:
538
  parquet_path = derived_root / "circuits.parquet"
539
  payload_root = Path("/workspace/hf_upload_payload")
540
 
541
- for path in [
542
- work_root,
543
- extracted_root,
544
- cache_root,
545
- temp_root,
546
- rendered_root,
547
- code_root,
548
- metadata_root,
549
- ]:
550
  path.mkdir(parents=True, exist_ok=True)
551
 
552
  ensure_inputs(repo_root, extracted_root)
@@ -563,6 +1111,7 @@ def main() -> None:
563
 
564
  records: list[dict[str, Any]] = []
565
  render_jobs: list[dict[str, Any]] = []
 
566
  structure_summary: dict[str, Any] = {"books": {}}
567
 
568
  for book in BOOKS:
@@ -584,6 +1133,9 @@ def main() -> None:
584
  "pdf_version_sync": pdf_source["pdf_version_sync"],
585
  "referenced_figures": len(figure_refs),
586
  "circuit_rows": 0,
 
 
 
587
  "source_notes": list(pdf_source["notes"]),
588
  }
589
  if not pdf_source["pdf_version_sync"]:
@@ -601,16 +1153,40 @@ def main() -> None:
601
  if not eps_meta["is_circuit"]:
602
  continue
603
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
604
  book_summary["circuit_rows"] += 1
 
 
 
 
605
  book_code_dir = code_root / book.slug
606
  book_code_dir.mkdir(parents=True, exist_ok=True)
607
  code_copy_path = book_code_dir / eps_path.name
608
- if not code_copy_path.exists():
609
- shutil.copy2(eps_path, code_copy_path)
610
 
611
  rendered_png = rendered_root / "original" / book.slug / f"{figure_stem}.png"
612
  no_text_png = rendered_root / "no_text" / book.slug / f"{figure_stem}.png"
613
  temp_no_text_eps = temp_root / "no_text_eps" / book.slug / f"{figure_stem}.eps"
 
 
614
 
615
  captions = sorted(
616
  {
@@ -645,12 +1221,19 @@ def main() -> None:
645
  "eps_path": str(code_copy_path.relative_to(derived_root)),
646
  "eps_creator": eps_meta["creator"],
647
  "circuit_tokens": eps_meta["circuit_tokens"],
 
 
 
 
 
 
 
648
  "references": refs,
649
  "verification": {},
650
  }
651
 
652
  record = {
653
- "Circuit Generation Code": eps_meta["code"],
654
  "Circuit generated image": str(rendered_png),
655
  "Circuit Generated image with no text": str(no_text_png),
656
  "Source": source_payload,
@@ -661,15 +1244,19 @@ def main() -> None:
661
  {
662
  "book": book.slug,
663
  "figure_id": figure_stem,
664
- "eps_path": str(eps_path),
665
  "output_png": str(rendered_png),
666
  "no_text_png": str(no_text_png),
667
  "temp_no_text_eps": str(temp_no_text_eps),
 
 
668
  "reference_png": str(reference_png) if reference_png else None,
669
  "html_png": str(html_png) if html_png else None,
670
  "pdf_text_path": str(pdf_text_cache_paths[book.slug]),
671
  "captions": captions,
672
- "source_code": eps_meta["code"],
 
 
673
  }
674
  )
675
 
@@ -723,6 +1310,15 @@ def main() -> None:
723
  verification["notes"].append(
724
  "Archived HTML PNG comparison was also recorded."
725
  )
 
 
 
 
 
 
 
 
 
726
 
727
  source_payload["verification"] = verification
728
 
@@ -778,6 +1374,9 @@ def main() -> None:
778
  with (metadata_root / "rows.jsonl").open("w") as handle:
779
  for row in dataset_rows:
780
  handle.write(json.dumps(row, sort_keys=True) + "\n")
 
 
 
781
 
782
  features = Features(
783
  {
 
4
 
5
  import argparse
6
  import json
7
+ import math
8
  import os
9
  import re
10
  import shutil
 
18
  from pathlib import Path
19
  from typing import Any
20
 
21
+ import numpy as np
22
  import pyarrow as pa
23
  import pyarrow.parquet as pq
24
  from datasets import Dataset, Features, Image as HFImage, Value
 
67
  "source",
68
  "transistor2",
69
  }
70
+ PRIMARY_SEED_PROCEDURES = {
71
+ "LED",
72
+ "acsource",
73
+ "battery",
74
+ "capacitor",
75
+ "diode",
76
+ "fuse_blown",
77
+ "inductor",
78
+ "npn",
79
+ "opamp",
80
+ "pnp",
81
+ "potentiometer",
82
+ "resistor",
83
+ "source",
84
+ }
85
+ PROC_BBOX_CATALOG: dict[str, tuple[int, int, int, int]] = {
86
+ "LED": (-16, -32, 32, 59),
87
+ "acsource": (-32, -64, 64, 128),
88
+ "battery": (-32, -64, 64, 128),
89
+ "capacitor": (-32, -64, 64, 128),
90
+ "diode": (-8, -48, 36, 96),
91
+ "fuse_blown": (-16, -32, 32, 62),
92
+ "gnd": (-32, -60, 64, 68),
93
+ "inductor": (-14, -64, 29, 112),
94
+ "npn": (-64, -64, 72, 128),
95
+ "opamp": (-80, -80, 160, 160),
96
+ "pnp": (-64, -64, 72, 128),
97
+ "potentiometer": (-46, -64, 78, 128),
98
+ "resistor": (-14, -64, 28, 128),
99
+ "source": (-32, -64, 64, 128),
100
+ }
101
+ STRIP_INVOCATION_PROCEDURES = {"person", "person_shocked"}
102
+ NON_CIRCUIT_SOURCE_PATTERNS: tuple[tuple[re.Pattern[str], str], ...] = (
103
+ (
104
+ re.compile(r"\breservoir\b|\bpond\b|\bpump\b|water flow", re.I),
105
+ "hydraulic analogy illustration",
106
+ ),
107
+ (
108
+ re.compile(
109
+ r"lead-acid|fuel cell|electrolyte|electrode|hydrogen|oxygen|membranes?\b",
110
+ re.I,
111
+ ),
112
+ "chemical cell illustration",
113
+ ),
114
+ (
115
+ re.compile(
116
+ r"meter movement|moving coil|electron gun|view-screen|vacuum|needle|magnet\b",
117
+ re.I,
118
+ ),
119
+ "instrument or device illustration",
120
+ ),
121
+ )
122
 
123
  XCIRCUIT_CREATOR_RE = re.compile(r"^%%Creator:\s*(.+)$", re.M)
124
  EPS_PROC_RE = re.compile(r"^/([A-Za-z][A-Za-z0-9_-]*)\s*\{", re.M)
125
+ PROC_BBOX_RE = re.compile(
126
+ r"^/(?P<name>[A-Za-z][A-Za-z0-9_-]*)\s*\{\n%\s*"
127
+ r"(?P<x>-?\d+)\s+(?P<y>-?\d+)\s+(?P<w>-?\d+)\s+(?P<h>-?\d+)\s+bbox",
128
+ re.M,
129
+ )
130
+ PAGE_BODY_RE = re.compile(
131
+ r"(?P<prefix>^%%Page:.*?^/pgsave save def bop\n)(?P<body>.*?)(?P<suffix>^pgsave restore showpage.*?\Z)",
132
+ re.S | re.M,
133
+ )
134
+ PROC_CALL_RE = re.compile(
135
+ r"(?P<scale>-?\d+(?:\.\d+)?)\s+(?P<rot>-?\d+(?:\.\d+)?)\s+"
136
+ r"(?P<x>-?\d+(?:\.\d+)?)\s+(?P<y>-?\d+(?:\.\d+)?)\s+"
137
+ r"(?P<name>[A-Za-z][A-Za-z0-9_]*)\b"
138
+ )
139
+ PAGE_SCALE_RE = re.compile(r"(?P<scale>[0-9.]+)\s+(?P<kind>inchscale|cmscale)")
140
+ PAGE_TRANSLATE_RE = re.compile(
141
+ r"(?P<x>-?\d+(?:\.\d+)?)\s+(?P<y>-?\d+(?:\.\d+)?)\s+translate"
142
+ )
143
+ INVOCATION_LINE_RE = re.compile(
144
+ r"^\s*-?\d+(?:\.\d+)?\s+-?\d+(?:\.\d+)?\s+-?\d+(?:\.\d+)?\s+-?\d+(?:\.\d+)?\s+(?P<name>[A-Za-z][A-Za-z0-9_]*)\s*$"
145
+ )
146
+ FULL_INVOCATION_LINE_RE = re.compile(
147
+ r"^\s*(?P<scale>-?\d+(?:\.\d+)?)\s+(?P<rot>-?\d+(?:\.\d+)?)\s+"
148
+ r"(?P<x>-?\d+(?:\.\d+)?)\s+(?P<y>-?\d+(?:\.\d+)?)\s+"
149
+ r"(?P<name>[A-Za-z][A-Za-z0-9_]*)\s*$"
150
+ )
151
  SML_TOKEN_RE = re.compile(
152
  r"(?P<chapter><chaptertitle>(?P<chapter_text>.*?)</chaptertitle>)"
153
  r"|(?P<section><sectiontitle>(?P<section_text>.*?)</sectiontitle>)"
 
471
  }
472
 
473
 
474
+ def parse_eps_bounding_box(source_code: str) -> tuple[float, float, float, float]:
475
+ match = re.search(
476
+ r"^%%BoundingBox:\s*(\S+)\s+(\S+)\s+(\S+)\s+(\S+)", source_code, re.M
477
+ )
478
+ if not match:
479
+ raise ValueError("Missing EPS bounding box")
480
+ return tuple(float(value) for value in match.groups())
481
+
482
+
483
+ def split_page_body(source_code: str) -> tuple[str, str, str] | None:
484
+ match = PAGE_BODY_RE.search(source_code)
485
+ if not match:
486
+ return None
487
+ return match.group("prefix"), match.group("body"), match.group("suffix")
488
+
489
+
490
+ def replace_page_body(source_code: str, new_body: str) -> str:
491
+ page_parts = split_page_body(source_code)
492
+ if not page_parts:
493
+ return source_code
494
+ prefix, _, suffix = page_parts
495
+ return source_code[: PAGE_BODY_RE.search(source_code).start()] + prefix + new_body + suffix
496
+
497
+
498
+ def strip_forbidden_invocations(source_code: str) -> tuple[str, list[str]]:
499
+ page_parts = split_page_body(source_code)
500
+ if not page_parts:
501
+ return source_code, []
502
+
503
+ prefix, body, suffix = page_parts
504
+ kept_lines: list[str] = []
505
+ removed: list[str] = []
506
+ for line in body.splitlines():
507
+ match = INVOCATION_LINE_RE.match(line)
508
+ if match and match.group("name") in STRIP_INVOCATION_PROCEDURES:
509
+ removed.append(match.group("name"))
510
+ continue
511
+ kept_lines.append(line)
512
+
513
+ rewritten = source_code[: PAGE_BODY_RE.search(source_code).start()] + prefix
514
+ if kept_lines:
515
+ rewritten += "\n".join(kept_lines) + "\n"
516
+ rewritten += suffix
517
+ return rewritten, sorted(set(removed))
518
+
519
+
520
+ def strip_trailing_ground_invocations(source_code: str) -> tuple[str, int]:
521
+ page_parts = split_page_body(source_code)
522
+ if not page_parts:
523
+ return source_code, 0
524
+
525
+ prefix, body, suffix = page_parts
526
+ anchor_x: float | None = None
527
+ for line in body.splitlines():
528
+ match = FULL_INVOCATION_LINE_RE.match(line)
529
+ if not match:
530
+ continue
531
+ name = match.group("name")
532
+ if name in PRIMARY_SEED_PROCEDURES:
533
+ x = float(match.group("x"))
534
+ anchor_x = x if anchor_x is None else max(anchor_x, x)
535
+
536
+ if anchor_x is None:
537
+ return source_code, 0
538
+
539
+ kept_lines: list[str] = []
540
+ removed = 0
541
+ for line in body.splitlines():
542
+ match = FULL_INVOCATION_LINE_RE.match(line)
543
+ if match and match.group("name") == "gnd" and float(match.group("x")) > anchor_x + 64.0:
544
+ removed += 1
545
+ continue
546
+ kept_lines.append(line)
547
+
548
+ rewritten = source_code[: PAGE_BODY_RE.search(source_code).start()] + prefix
549
+ if kept_lines:
550
+ rewritten += "\n".join(kept_lines) + "\n"
551
+ rewritten += suffix
552
+ return rewritten, removed
553
+
554
+
555
+ def reject_reason_for_figure(
556
+ book: BookConfig,
557
+ refs: list[dict[str, Any]],
558
+ source_code: str,
559
+ ) -> str | None:
560
+ chapter = normalize_space(refs[0].get("chapter") or "").lower() if refs else ""
561
+ section = normalize_space(refs[0].get("section") or "").lower() if refs else ""
562
+ if (
563
+ book.slug == "DC"
564
+ and chapter == "dc metering circuits"
565
+ and section == "what is a meter?"
566
+ ):
567
+ return "meter illustration section"
568
+
569
+ for pattern, reason in NON_CIRCUIT_SOURCE_PATTERNS:
570
+ if pattern.search(source_code):
571
+ return reason
572
+ return None
573
+
574
+
575
+ def parse_page_transform(source_code: str) -> tuple[tuple[float, float, float, float], float, float, float]:
576
+ bbox = parse_eps_bounding_box(source_code)
577
+ page_parts = split_page_body(source_code)
578
+ if not page_parts:
579
+ return bbox, 1.0, 0.0, 0.0
580
+
581
+ _, body, _ = page_parts
582
+ scale_match = PAGE_SCALE_RE.search(body)
583
+ scale = 1.0
584
+ if scale_match:
585
+ unit_scale = 0.375 if scale_match.group("kind") == "inchscale" else 0.35433071
586
+ scale = float(scale_match.group("scale")) * unit_scale
587
+
588
+ translate_match = PAGE_TRANSLATE_RE.search(body)
589
+ tx = float(translate_match.group("x")) if translate_match else 0.0
590
+ ty = float(translate_match.group("y")) if translate_match else 0.0
591
+ return bbox, scale, tx, ty
592
+
593
+
594
+ def placed_seed_boxes(source_code: str, image_size: tuple[int, int]) -> list[tuple[str, int, int, int, int]]:
595
+ bbox, page_scale, tx, ty = parse_page_transform(source_code)
596
+ page_parts = split_page_body(source_code)
597
+ if not page_parts:
598
+ return []
599
+
600
+ definitions = {
601
+ match.group("name"): (
602
+ int(match.group("x")),
603
+ int(match.group("y")),
604
+ int(match.group("w")),
605
+ int(match.group("h")),
606
+ )
607
+ for match in PROC_BBOX_RE.finditer(source_code)
608
+ }
609
+
610
+ _, body, _ = page_parts
611
+ llx, lly, urx, ury = bbox
612
+ width, height = image_size
613
+ seeds: list[tuple[str, int, int, int, int]] = []
614
+
615
+ for match in PROC_CALL_RE.finditer(body):
616
+ name = match.group("name")
617
+ if name not in PRIMARY_SEED_PROCEDURES:
618
+ continue
619
+ local_bbox = definitions.get(name) or PROC_BBOX_CATALOG.get(name)
620
+ if not local_bbox:
621
+ continue
622
+
623
+ scale = abs(float(match.group("scale")))
624
+ rotation = math.radians(float(match.group("rot")))
625
+ x = float(match.group("x"))
626
+ y = float(match.group("y"))
627
+ bx, by, bw, bh = local_bbox
628
+ corners = [
629
+ (bx, by),
630
+ (bx + bw, by),
631
+ (bx, by + bh),
632
+ (bx + bw, by + bh),
633
+ ]
634
+ page_points: list[tuple[float, float]] = []
635
+ for cx, cy in corners:
636
+ sx = cx * scale
637
+ sy = cy * scale
638
+ rx = sx * math.cos(rotation) - sy * math.sin(rotation)
639
+ ry = sx * math.sin(rotation) + sy * math.cos(rotation)
640
+ page_points.append((page_scale * (tx + x + rx), page_scale * (ty + y + ry)))
641
+
642
+ xs = [point[0] for point in page_points]
643
+ ys = [point[1] for point in page_points]
644
+ left = max(0, int((min(xs) - llx) / (urx - llx) * width))
645
+ right = min(width - 1, int((max(xs) - llx) / (urx - llx) * width))
646
+ top = max(0, int((ury - max(ys)) / (ury - lly) * height))
647
+ bottom = min(height - 1, int((ury - min(ys)) / (ury - lly) * height))
648
+ seeds.append((name, left, top, right, bottom))
649
+
650
+ return seeds
651
+
652
+
653
+ def widest_low_ink_run(values: np.ndarray, max_dark: int) -> tuple[int, int] | None:
654
+ best: tuple[int, int] | None = None
655
+ run_start: int | None = None
656
+ for index, value in enumerate(values):
657
+ if int(value) <= max_dark:
658
+ if run_start is None:
659
+ run_start = index
660
+ continue
661
+ if run_start is not None:
662
+ candidate = (run_start, index - 1)
663
+ if not best or (candidate[1] - candidate[0]) > (best[1] - best[0]):
664
+ best = candidate
665
+ run_start = None
666
+ if run_start is not None:
667
+ candidate = (run_start, len(values) - 1)
668
+ if not best or (candidate[1] - candidate[0]) > (best[1] - best[0]):
669
+ best = candidate
670
+ return best
671
+
672
+
673
+ def pixel_bbox_from_mask(mask: np.ndarray) -> tuple[int, int, int, int] | None:
674
+ ys, xs = np.where(mask)
675
+ if xs.size == 0 or ys.size == 0:
676
+ return None
677
+ return int(xs.min()), int(ys.min()), int(xs.max()), int(ys.max())
678
+
679
+
680
+ def connected_components(mask: np.ndarray) -> tuple[np.ndarray, list[tuple[int, int, int, int, int, int]]]:
681
+ height, width = mask.shape
682
+ seen = np.zeros((height, width), dtype=np.uint8)
683
+ labels = np.full((height, width), -1, dtype=np.int32)
684
+ components: list[tuple[int, int, int, int, int, int]] = []
685
+ label = 0
686
+
687
+ for y in range(height):
688
+ for x in range(width):
689
+ if not mask[y, x] or seen[y, x]:
690
+ continue
691
+ stack = [(x, y)]
692
+ seen[y, x] = 1
693
+ area = 0
694
+ min_x = max_x = x
695
+ min_y = max_y = y
696
+ while stack:
697
+ cx, cy = stack.pop()
698
+ labels[cy, cx] = label
699
+ area += 1
700
+ min_x = min(min_x, cx)
701
+ max_x = max(max_x, cx)
702
+ min_y = min(min_y, cy)
703
+ max_y = max(max_y, cy)
704
+ for ny in range(max(0, cy - 1), min(height, cy + 2)):
705
+ for nx in range(max(0, cx - 1), min(width, cx + 2)):
706
+ if mask[ny, nx] and not seen[ny, nx]:
707
+ seen[ny, nx] = 1
708
+ stack.append((nx, ny))
709
+ components.append((label, area, min_x, min_y, max_x, max_y))
710
+ label += 1
711
+
712
+ return labels, components
713
+
714
+
715
+ def crop_pixels_to_eps_points(
716
+ pixel_bbox: tuple[int, int, int, int],
717
+ image_size: tuple[int, int],
718
+ eps_bbox: tuple[float, float, float, float],
719
+ ) -> tuple[float, float, float, float]:
720
+ left, top, right, bottom = pixel_bbox
721
+ width, height = image_size
722
+ llx, lly, urx, ury = eps_bbox
723
+ eps_left = llx + (left / width) * (urx - llx)
724
+ eps_right = llx + ((right + 1) / width) * (urx - llx)
725
+ eps_top = ury - (top / height) * (ury - lly)
726
+ eps_bottom = ury - ((bottom + 1) / height) * (ury - lly)
727
+ return eps_left, eps_bottom, eps_right, eps_top
728
+
729
+
730
+ def crop_eps_points_to_pixels(
731
+ crop_bbox: tuple[float, float, float, float],
732
+ image_size: tuple[int, int],
733
+ eps_bbox: tuple[float, float, float, float],
734
+ ) -> tuple[int, int, int, int]:
735
+ crop_llx, crop_lly, crop_urx, crop_ury = crop_bbox
736
+ llx, lly, urx, ury = eps_bbox
737
+ width, height = image_size
738
+ left = max(0, math.floor((crop_llx - llx) / (urx - llx) * width))
739
+ right = min(width, math.ceil((crop_urx - llx) / (urx - llx) * width))
740
+ top = max(0, math.floor((ury - crop_ury) / (ury - lly) * height))
741
+ bottom = min(height, math.ceil((ury - crop_lly) / (ury - lly) * height))
742
+ return left, top, right, bottom
743
+
744
+
745
+ def apply_clip_bbox(
746
+ source_code: str, crop_bbox: tuple[float, float, float, float]
747
+ ) -> str:
748
+ page_parts = split_page_body(source_code)
749
+ if not page_parts:
750
+ return source_code
751
+
752
+ clip_llx, clip_lly, clip_urx, clip_ury = crop_bbox
753
+ prefix, body, suffix = page_parts
754
+ clip_ps = (
755
+ f"newpath {clip_llx:.3f} {clip_lly:.3f} moveto "
756
+ f"{clip_urx:.3f} {clip_lly:.3f} lineto "
757
+ f"{clip_urx:.3f} {clip_ury:.3f} lineto "
758
+ f"{clip_llx:.3f} {clip_ury:.3f} lineto closepath clip newpath\n"
759
+ )
760
+ rewritten = source_code[: PAGE_BODY_RE.search(source_code).start()] + prefix + clip_ps + body + suffix
761
+
762
+ bbox_line = "%%BoundingBox: {} {} {} {}".format(
763
+ math.floor(clip_llx),
764
+ math.floor(clip_lly),
765
+ math.ceil(clip_urx),
766
+ math.ceil(clip_ury),
767
+ )
768
+ rewritten = re.sub(r"^%%BoundingBox:.*$", bbox_line, rewritten, count=1, flags=re.M)
769
+ return rewritten
770
+
771
+
772
+ def render_source_code_to_png(
773
+ source_code: str,
774
+ eps_path: Path,
775
+ png_path: Path,
776
+ *,
777
+ device: str,
778
+ ) -> None:
779
+ eps_path.parent.mkdir(parents=True, exist_ok=True)
780
+ eps_path.write_text(source_code)
781
+ render_eps_to_png(eps_path, png_path, device=device)
782
+
783
+
784
+ def derive_crop_bbox(
785
+ source_code: str,
786
+ analysis_png_path: Path,
787
+ ) -> tuple[int, int, int, int] | None:
788
+ with Image.open(analysis_png_path) as image:
789
+ gray = np.array(image.convert("L"))
790
+
791
+ mask = gray < 220
792
+ full_bbox = pixel_bbox_from_mask(mask)
793
+ if not full_bbox:
794
+ return None
795
+
796
+ seeds = placed_seed_boxes(source_code, (gray.shape[1], gray.shape[0]))
797
+ if not seeds:
798
+ return None
799
+
800
+ seed_left = min(seed[1] for seed in seeds)
801
+ seed_top = min(seed[2] for seed in seeds)
802
+ seed_right = max(seed[3] for seed in seeds)
803
+ seed_bottom = max(seed[4] for seed in seeds)
804
+
805
+ full_left, _, full_right, _ = full_bbox
806
+ column_sums = mask.sum(axis=0)
807
+ gap_dark_max = 1
808
+ gap_min_width = max(24, int(gray.shape[1] * 0.08))
809
+ left_gap_abs: tuple[int, int] | None = None
810
+ right_gap_abs: tuple[int, int] | None = None
811
+
812
+ if seed_left - full_left >= gap_min_width:
813
+ left_gap = widest_low_ink_run(column_sums[full_left:seed_left], gap_dark_max)
814
+ if left_gap and (left_gap[1] - left_gap[0] + 1) >= gap_min_width:
815
+ left_gap_abs = (full_left + left_gap[0], full_left + left_gap[1])
816
+
817
+ if full_right - seed_right >= gap_min_width:
818
+ right_gap = widest_low_ink_run(column_sums[seed_right + 1 : full_right + 1], gap_dark_max)
819
+ if right_gap and (right_gap[1] - right_gap[0] + 1) >= gap_min_width:
820
+ right_gap_abs = (seed_right + 1 + right_gap[0], seed_right + 1 + right_gap[1])
821
+
822
+ if not left_gap_abs and not right_gap_abs:
823
+ return None
824
+
825
+ labels, components = connected_components(mask)
826
+ component_ids: set[int] = set()
827
+ for _, left, top, right, bottom in seeds:
828
+ if right < left or bottom < top:
829
+ continue
830
+ sub = labels[top : bottom + 1, left : right + 1]
831
+ component_ids.update(int(value) for value in np.unique(sub) if value >= 0)
832
+
833
+ picked = [component for component in components if component[0] in component_ids]
834
+ if not picked:
835
+ return None
836
+
837
+ margin_x = max(8, int(gray.shape[1] * 0.02))
838
+ margin_y = max(8, int(gray.shape[0] * 0.05))
839
+ left = max(0, min(component[2] for component in picked) - margin_x)
840
+ top = max(0, min(component[3] for component in picked) - margin_y)
841
+ right = min(gray.shape[1] - 1, max(component[4] for component in picked) + margin_x)
842
+ bottom = min(gray.shape[0] - 1, max(component[5] for component in picked) + margin_y)
843
+
844
+ if left_gap_abs:
845
+ left = max(left, left_gap_abs[1] + 1)
846
+ if right_gap_abs:
847
+ right = min(right, right_gap_abs[0] - 1)
848
+
849
+ if right <= left or bottom <= top:
850
+ return None
851
+
852
+ cropped_area = (right - left + 1) * (bottom - top + 1)
853
+ full_area = gray.shape[0] * gray.shape[1]
854
+ if cropped_area >= full_area * 0.94:
855
+ return None
856
+ return left, top, right, bottom
857
+
858
+
859
+ def crop_image_to_bbox(
860
+ source_path: Path,
861
+ output_path: Path,
862
+ crop_bbox: tuple[float, float, float, float],
863
+ eps_bbox: tuple[float, float, float, float],
864
+ ) -> None:
865
+ with Image.open(source_path) as image:
866
+ left, top, right, bottom = crop_eps_points_to_pixels(crop_bbox, image.size, eps_bbox)
867
+ output_path.parent.mkdir(parents=True, exist_ok=True)
868
+ image.crop((left, top, right, bottom)).save(output_path)
869
+
870
+
871
+ def prepare_figure_artifact(
872
+ book: BookConfig,
873
+ figure_stem: str,
874
+ refs: list[dict[str, Any]],
875
+ source_code: str,
876
+ temp_root: Path,
877
+ ) -> dict[str, Any]:
878
+ reject_reason = reject_reason_for_figure(book, refs, source_code)
879
+ if reject_reason:
880
+ return {"keep": False, "reject_reason": reject_reason}
881
+
882
+ sanitized_code, removed_procedures = strip_forbidden_invocations(source_code)
883
+ removed_grounds = 0
884
+ if removed_procedures:
885
+ sanitized_code, removed_grounds = strip_trailing_ground_invocations(sanitized_code)
886
+ original_bbox = parse_eps_bounding_box(sanitized_code)
887
+
888
+ analysis_eps = temp_root / "analysis_eps" / book.slug / f"{figure_stem}.eps"
889
+ analysis_png = temp_root / "analysis_png" / book.slug / f"{figure_stem}.png"
890
+ analysis_eps.parent.mkdir(parents=True, exist_ok=True)
891
+ analysis_png.parent.mkdir(parents=True, exist_ok=True)
892
+ write_no_text_eps(sanitized_code, analysis_eps)
893
+ render_eps_to_png(analysis_eps, analysis_png, device="pnggray")
894
+
895
+ crop_bbox_px = None if removed_procedures else derive_crop_bbox(sanitized_code, analysis_png)
896
+ crop_bbox_eps = None
897
+ if crop_bbox_px:
898
+ with Image.open(analysis_png) as analysis_image:
899
+ crop_bbox_eps = crop_pixels_to_eps_points(
900
+ crop_bbox_px,
901
+ analysis_image.size,
902
+ original_bbox,
903
+ )
904
+ derived_code = apply_clip_bbox(sanitized_code, crop_bbox_eps) if crop_bbox_eps else sanitized_code
905
+
906
+ extraction_mode = "whole"
907
+ if crop_bbox_eps:
908
+ extraction_mode = "cropped"
909
+ elif removed_procedures:
910
+ extraction_mode = "sanitized"
911
+
912
+ return {
913
+ "keep": True,
914
+ "source_code": derived_code,
915
+ "original_eps_bbox": original_bbox,
916
+ "crop_bbox_eps": crop_bbox_eps,
917
+ "crop_bbox_px": crop_bbox_px,
918
+ "removed_procedures": removed_procedures,
919
+ "removed_auxiliary_grounds": removed_grounds,
920
+ "extraction_mode": extraction_mode,
921
+ }
922
+
923
+
924
  def write_no_text_eps(source_code: str, output_path: Path) -> None:
925
  needle = "%%EndComments\n"
926
  if needle in source_code:
 
971
  output_png = Path(task["output_png"])
972
  no_text_png = Path(task["no_text_png"])
973
  temp_no_text_eps = Path(task["temp_no_text_eps"])
974
+ temp_reference_png = Path(task["temp_reference_png"]) if task["temp_reference_png"] else None
975
+ temp_html_png = Path(task["temp_html_png"]) if task["temp_html_png"] else None
976
  reference_png = Path(task["reference_png"]) if task["reference_png"] else None
977
  html_png = Path(task["html_png"]) if task["html_png"] else None
978
  pdf_text_path = Path(task["pdf_text_path"]) if task["pdf_text_path"] else None
979
  captions = task["captions"]
980
  source_code = task["source_code"]
981
+ crop_bbox_eps = tuple(task["crop_bbox_eps"]) if task["crop_bbox_eps"] else None
982
+ original_eps_bbox = tuple(task["original_eps_bbox"]) if task["original_eps_bbox"] else None
983
  render_device = "pnggray"
984
  reference_png_exact = None
985
+ reference_compare_path = reference_png
986
+ if (
987
+ reference_png
988
+ and reference_png.exists()
989
+ and crop_bbox_eps
990
+ and original_eps_bbox
991
+ and temp_reference_png
992
+ ):
993
+ crop_image_to_bbox(reference_png, temp_reference_png, crop_bbox_eps, original_eps_bbox)
994
+ reference_compare_path = temp_reference_png
995
+
996
+ html_compare_path = html_png
997
+ if html_png and html_png.exists() and crop_bbox_eps and original_eps_bbox and temp_html_png:
998
+ crop_image_to_bbox(html_png, temp_html_png, crop_bbox_eps, original_eps_bbox)
999
+ html_compare_path = temp_html_png
1000
+
1001
+ if reference_compare_path and reference_compare_path.exists():
1002
  render_device = "pngalpha"
1003
  render_eps_to_png(eps_path, output_png, device=render_device)
1004
+ reference_png_exact = images_equal_rgba(output_png, reference_compare_path)
1005
  if not reference_png_exact:
1006
  render_device = "pnggray"
1007
  render_eps_to_png(eps_path, output_png, device=render_device)
1008
+ reference_png_exact = images_equal_rgba(output_png, reference_compare_path)
1009
  else:
1010
  render_eps_to_png(eps_path, output_png, device=render_device)
1011
 
 
1015
  no_text_status = "rendered"
1016
 
1017
  html_exact = None
1018
+ if html_compare_path and html_compare_path.exists():
1019
+ html_exact = images_equal_rgba(output_png, html_compare_path)
1020
 
1021
  pdf_caption_pages: list[int] = []
1022
  if pdf_text_path.exists() and captions:
 
1088
  parquet_path = derived_root / "circuits.parquet"
1089
  payload_root = Path("/workspace/hf_upload_payload")
1090
 
1091
+ for path in [rendered_root, code_root, metadata_root, dataset_root, temp_root]:
1092
+ if path.exists():
1093
+ shutil.rmtree(path)
1094
+ if parquet_path.exists():
1095
+ parquet_path.unlink()
1096
+
1097
+ for path in [work_root, extracted_root, cache_root, temp_root, rendered_root, code_root, metadata_root]:
 
 
1098
  path.mkdir(parents=True, exist_ok=True)
1099
 
1100
  ensure_inputs(repo_root, extracted_root)
 
1111
 
1112
  records: list[dict[str, Any]] = []
1113
  render_jobs: list[dict[str, Any]] = []
1114
+ pruned_records: list[dict[str, Any]] = []
1115
  structure_summary: dict[str, Any] = {"books": {}}
1116
 
1117
  for book in BOOKS:
 
1133
  "pdf_version_sync": pdf_source["pdf_version_sync"],
1134
  "referenced_figures": len(figure_refs),
1135
  "circuit_rows": 0,
1136
+ "cropped_rows": 0,
1137
+ "sanitized_rows": 0,
1138
+ "pruned_rows": 0,
1139
  "source_notes": list(pdf_source["notes"]),
1140
  }
1141
  if not pdf_source["pdf_version_sync"]:
 
1153
  if not eps_meta["is_circuit"]:
1154
  continue
1155
 
1156
+ prepared = prepare_figure_artifact(
1157
+ book,
1158
+ figure_stem,
1159
+ refs,
1160
+ eps_meta["code"],
1161
+ temp_root,
1162
+ )
1163
+ if not prepared["keep"]:
1164
+ book_summary["pruned_rows"] += 1
1165
+ pruned_records.append(
1166
+ {
1167
+ "book": book.slug,
1168
+ "figure_id": figure_stem,
1169
+ "reason": prepared["reject_reason"],
1170
+ "references": refs,
1171
+ }
1172
+ )
1173
+ continue
1174
+
1175
  book_summary["circuit_rows"] += 1
1176
+ if prepared["extraction_mode"] == "cropped":
1177
+ book_summary["cropped_rows"] += 1
1178
+ if prepared["removed_procedures"]:
1179
+ book_summary["sanitized_rows"] += 1
1180
  book_code_dir = code_root / book.slug
1181
  book_code_dir.mkdir(parents=True, exist_ok=True)
1182
  code_copy_path = book_code_dir / eps_path.name
1183
+ code_copy_path.write_text(prepared["source_code"])
 
1184
 
1185
  rendered_png = rendered_root / "original" / book.slug / f"{figure_stem}.png"
1186
  no_text_png = rendered_root / "no_text" / book.slug / f"{figure_stem}.png"
1187
  temp_no_text_eps = temp_root / "no_text_eps" / book.slug / f"{figure_stem}.eps"
1188
+ temp_reference_png = temp_root / "reference_png" / book.slug / f"{figure_stem}.png"
1189
+ temp_html_png = temp_root / "html_png" / book.slug / f"{figure_stem}.png"
1190
 
1191
  captions = sorted(
1192
  {
 
1221
  "eps_path": str(code_copy_path.relative_to(derived_root)),
1222
  "eps_creator": eps_meta["creator"],
1223
  "circuit_tokens": eps_meta["circuit_tokens"],
1224
+ "extraction": {
1225
+ "mode": prepared["extraction_mode"],
1226
+ "crop_bbox_eps": prepared["crop_bbox_eps"],
1227
+ "crop_bbox_px": prepared["crop_bbox_px"],
1228
+ "removed_procedures": prepared["removed_procedures"],
1229
+ "removed_auxiliary_grounds": prepared["removed_auxiliary_grounds"],
1230
+ },
1231
  "references": refs,
1232
  "verification": {},
1233
  }
1234
 
1235
  record = {
1236
+ "Circuit Generation Code": prepared["source_code"],
1237
  "Circuit generated image": str(rendered_png),
1238
  "Circuit Generated image with no text": str(no_text_png),
1239
  "Source": source_payload,
 
1244
  {
1245
  "book": book.slug,
1246
  "figure_id": figure_stem,
1247
+ "eps_path": str(code_copy_path),
1248
  "output_png": str(rendered_png),
1249
  "no_text_png": str(no_text_png),
1250
  "temp_no_text_eps": str(temp_no_text_eps),
1251
+ "temp_reference_png": str(temp_reference_png),
1252
+ "temp_html_png": str(temp_html_png),
1253
  "reference_png": str(reference_png) if reference_png else None,
1254
  "html_png": str(html_png) if html_png else None,
1255
  "pdf_text_path": str(pdf_text_cache_paths[book.slug]),
1256
  "captions": captions,
1257
+ "source_code": prepared["source_code"],
1258
+ "crop_bbox_eps": prepared["crop_bbox_eps"],
1259
+ "original_eps_bbox": prepared["original_eps_bbox"],
1260
  }
1261
  )
1262
 
 
1310
  verification["notes"].append(
1311
  "Archived HTML PNG comparison was also recorded."
1312
  )
1313
+ extraction_mode = source_payload.get("extraction", {}).get("mode")
1314
+ if extraction_mode == "cropped":
1315
+ verification["notes"].append(
1316
+ "Verification used the cropped circuit-only region from the reference figure."
1317
+ )
1318
+ elif extraction_mode == "sanitized":
1319
+ verification["notes"].append(
1320
+ "Circuit-only rendering removed non-circuit procedural elements before verification."
1321
+ )
1322
 
1323
  source_payload["verification"] = verification
1324
 
 
1374
  with (metadata_root / "rows.jsonl").open("w") as handle:
1375
  for row in dataset_rows:
1376
  handle.write(json.dumps(row, sort_keys=True) + "\n")
1377
+ with (metadata_root / "pruned_figures.jsonl").open("w") as handle:
1378
+ for row in pruned_records:
1379
+ handle.write(json.dumps(row, sort_keys=True) + "\n")
1380
 
1381
  features = Features(
1382
  {
derived/Source/scripts/build_sheet_pdf.py CHANGED
@@ -2,6 +2,7 @@
2
 
3
  from __future__ import annotations
4
 
 
5
  import csv
6
  from pathlib import Path
7
 
@@ -10,21 +11,35 @@ import img2pdf
10
 
11
  SOURCE_ROOT = Path("/workspace/SchemID/derived/Source")
12
  SHEETS_ROOT = SOURCE_ROOT / "sheets"
13
- MANIFEST_PATH = SHEETS_ROOT / "sheet_manifest.csv"
14
- OUTPUT_PDF = SHEETS_ROOT / "all_visualization_sheets.pdf"
15
  FIXED_DPI = (300, 300)
16
 
17
 
18
  def main() -> None:
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
19
  image_paths: list[str] = []
20
- with MANIFEST_PATH.open(newline="") as handle:
21
  reader = csv.DictReader(handle)
22
  for row in reader:
23
  image_path = SHEETS_ROOT / row["sheet_png"]
24
  image_paths.append(str(image_path))
25
 
26
  layout_fun = img2pdf.get_fixed_dpi_layout_fun(FIXED_DPI)
27
- with OUTPUT_PDF.open("wb") as handle:
 
28
  handle.write(img2pdf.convert(image_paths, layout_fun=layout_fun))
29
 
30
 
 
2
 
3
  from __future__ import annotations
4
 
5
+ import argparse
6
  import csv
7
  from pathlib import Path
8
 
 
11
 
12
  SOURCE_ROOT = Path("/workspace/SchemID/derived/Source")
13
  SHEETS_ROOT = SOURCE_ROOT / "sheets"
 
 
14
  FIXED_DPI = (300, 300)
15
 
16
 
17
  def main() -> None:
18
+ parser = argparse.ArgumentParser()
19
+ parser.add_argument(
20
+ "--manifest",
21
+ type=Path,
22
+ default=SHEETS_ROOT / "sheet_manifest.csv",
23
+ help="Sheet manifest CSV path.",
24
+ )
25
+ parser.add_argument(
26
+ "--output-pdf",
27
+ type=Path,
28
+ default=SHEETS_ROOT / "all_visualization_sheets.pdf",
29
+ help="Output PDF path.",
30
+ )
31
+ args = parser.parse_args()
32
+
33
  image_paths: list[str] = []
34
+ with args.manifest.open(newline="") as handle:
35
  reader = csv.DictReader(handle)
36
  for row in reader:
37
  image_path = SHEETS_ROOT / row["sheet_png"]
38
  image_paths.append(str(image_path))
39
 
40
  layout_fun = img2pdf.get_fixed_dpi_layout_fun(FIXED_DPI)
41
+ args.output_pdf.parent.mkdir(parents=True, exist_ok=True)
42
+ with args.output_pdf.open("wb") as handle:
43
  handle.write(img2pdf.convert(image_paths, layout_fun=layout_fun))
44
 
45
 
derived/Source/scripts/generate_visual_sheets.py CHANGED
@@ -2,6 +2,7 @@
2
 
3
  from __future__ import annotations
4
 
 
5
  import csv
6
  import html
7
  import json
@@ -18,8 +19,6 @@ REPO_ROOT = Path("/workspace/SchemID")
18
  SOURCE_ROOT = REPO_ROOT / "derived" / "Source"
19
  ROWS_PATH = SOURCE_ROOT / "metadata" / "rows.jsonl"
20
  SHEETS_ROOT = SOURCE_ROOT / "sheets"
21
- SHEETS_ORIGINAL_ROOT = SHEETS_ROOT / "original"
22
- MANIFEST_PATH = SHEETS_ROOT / "sheet_manifest.csv"
23
 
24
  PAGE_W = 4200
25
  PAGE_H = 5940
@@ -224,7 +223,31 @@ def build_page(rows: list[dict], display_name: str, book: str, page_number: int,
224
 
225
 
226
  def main() -> None:
227
- SHEETS_ORIGINAL_ROOT.mkdir(parents=True, exist_ok=True)
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
228
 
229
  grouped: dict[str, list[dict]] = defaultdict(list)
230
  display_names: dict[str, str] = {}
@@ -239,7 +262,7 @@ def main() -> None:
239
  {
240
  "book": book,
241
  "figure_id": source_payload["figure_id"],
242
- "image_path": Path(raw["Circuit generated image"]),
243
  "primary_title": pick_primary_title(source_payload),
244
  "context": pick_context(source_payload),
245
  "source_line": pick_source_line(source_payload),
@@ -260,7 +283,7 @@ def main() -> None:
260
  end = start + PER_PAGE
261
  page_rows = rows[start:end]
262
  output_path = (
263
- SHEETS_ORIGINAL_ROOT
264
  / book
265
  / f"{book}_sheet_{page_index + 1:03d}.png"
266
  )
@@ -284,7 +307,15 @@ def main() -> None:
284
  }
285
  )
286
 
287
- with MANIFEST_PATH.open("w", newline="") as handle:
 
 
 
 
 
 
 
 
288
  writer = csv.DictWriter(
289
  handle,
290
  fieldnames=[
 
2
 
3
  from __future__ import annotations
4
 
5
+ import argparse
6
  import csv
7
  import html
8
  import json
 
19
  SOURCE_ROOT = REPO_ROOT / "derived" / "Source"
20
  ROWS_PATH = SOURCE_ROOT / "metadata" / "rows.jsonl"
21
  SHEETS_ROOT = SOURCE_ROOT / "sheets"
 
 
22
 
23
  PAGE_W = 4200
24
  PAGE_H = 5940
 
223
 
224
 
225
  def main() -> None:
226
+ parser = argparse.ArgumentParser()
227
+ parser.add_argument(
228
+ "--image-field",
229
+ default="Circuit generated image",
230
+ choices=[
231
+ "Circuit generated image",
232
+ "Circuit Generated image with no text",
233
+ ],
234
+ help="Dataset row field containing the image path to place on the sheets.",
235
+ )
236
+ parser.add_argument(
237
+ "--output-subdir",
238
+ default="original",
239
+ help="Subdirectory under derived/Source/sheets where the page PNGs will be written.",
240
+ )
241
+ parser.add_argument(
242
+ "--manifest-name",
243
+ default="sheet_manifest.csv",
244
+ help="Manifest filename written under derived/Source/sheets.",
245
+ )
246
+ args = parser.parse_args()
247
+
248
+ sheets_output_root = SHEETS_ROOT / args.output_subdir
249
+ manifest_path = SHEETS_ROOT / args.manifest_name
250
+ sheets_output_root.mkdir(parents=True, exist_ok=True)
251
 
252
  grouped: dict[str, list[dict]] = defaultdict(list)
253
  display_names: dict[str, str] = {}
 
262
  {
263
  "book": book,
264
  "figure_id": source_payload["figure_id"],
265
+ "image_path": Path(raw[args.image_field]),
266
  "primary_title": pick_primary_title(source_payload),
267
  "context": pick_context(source_payload),
268
  "source_line": pick_source_line(source_payload),
 
283
  end = start + PER_PAGE
284
  page_rows = rows[start:end]
285
  output_path = (
286
+ sheets_output_root
287
  / book
288
  / f"{book}_sheet_{page_index + 1:03d}.png"
289
  )
 
307
  }
308
  )
309
 
310
+ keep_paths = {
311
+ (SHEETS_ROOT / row["sheet_png"]).resolve()
312
+ for row in manifest_rows
313
+ }
314
+ for path in sheets_output_root.rglob("*.png"):
315
+ if path.resolve() not in keep_paths:
316
+ path.unlink()
317
+
318
+ with manifest_path.open("w", newline="") as handle:
319
  writer = csv.DictWriter(
320
  handle,
321
  fieldnames=[
derived/Source/sheets/sheet_manifest.csv CHANGED
The diff for this file is too large to render. See raw diff
 
derived/Source/sheets/sheet_manifest_no_text.csv ADDED
The diff for this file is too large to render. See raw diff