cd /tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/ && python3 -c " import pdfplumber # First, read the questions PDF with pdfplumber.open('response (5).pdf') as pdf: print(f'Questions PDF pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): text = page.extract_text() if text: print(f'--- PAGE {i+1} ---') print(text) "

cd /tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/ && python3 -c " import pdfplumber # Read the forensic medicine textbook PDF - check page count first with pdfplumber.open('Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf') as pdf: print(f'Textbook PDF pages: {len(pdf.pages)}') # Search for 'difference' in first 50 pages for i, page in enumerate(pdf.pages[:50]): text = page.extract_text() if text and 'differ' in text.lower(): print(f'--- PAGE {i+1} (has difference content) ---') print(text[:2000]) print('...') "

ls /tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/

ls /tmp/workspace/attachments/ && find /tmp/workspace/attachments/ -name "*.pdf" 2>/dev/null

python3 -c " import pdfplumber import pypdf path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/response (5).pdf' # Try pypdf to get all text reader = pypdf.PdfReader(path) print(f'Total pages: {len(reader.pages)}') for i, page in enumerate(reader.pages): text = page.extract_text() print(f'=== PAGE {i+1} ===') print(text) print() "

python3 -c " import pypdf from PIL import Image import io import os path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/response (5).pdf' reader = pypdf.PdfReader(path) os.makedirs('/tmp/workspace/pdf_images', exist_ok=True) img_count = 0 for page_num, page in enumerate(reader.pages): if '/XObject' in page['/Resources']: xobject = page['/Resources']['/XObject'].get_object() for obj_name, obj_ref in xobject.items(): obj = obj_ref.get_object() if obj.get('/Subtype') == '/Image': data = obj.get_data() width = obj['/Width'] height = obj['/Height'] print(f'Page {page_num+1}, Image {obj_name}: {width}x{height}, filter={obj.get(\"/Filter\")}') # Save image try: if obj.get('/Filter') == '/DCTDecode': fname = f'/tmp/workspace/pdf_images/page{page_num+1}_{obj_name[1:]}.jpg' with open(fname, 'wb') as f: f.write(data) else: img = Image.frombytes('RGB', (width, height), data) fname = f'/tmp/workspace/pdf_images/page{page_num+1}_{obj_name[1:]}.png' img.save(fname) print(f' Saved: {fname}') img_count += 1 except Exception as e: print(f' Error saving: {e}') print(f'Total images extracted: {img_count}') "

python3 -c " from PIL import Image img = Image.open('/tmp/workspace/pdf_images/page1_i9b0493d5330062d6974b49ceb2c375f21.png') print(f'Mode: {img.mode}, Size: {img.size}') # Check if it has actual content import numpy as np arr = np.array(img) print(f'Min: {arr.min()}, Max: {arr.max()}, Mean: {arr.mean():.2f}') # Save as jpeg for easier viewing img.convert('RGB').save('/tmp/workspace/pdf_images/diagram1.jpg', quality=95) print('Saved as JPEG') "

python3 -c " from PIL import Image imgs = [ ('/tmp/workspace/pdf_images/page1_i1ed0d23bd9e5c5f6e7c9fcf92a395d5b1.png', '/tmp/workspace/pdf_images/diagram2.jpg'), ('/tmp/workspace/pdf_images/page2_i9b0493d5330062d6974b49ceb2c375f21.png', '/tmp/workspace/pdf_images/diagram3.jpg'), ('/tmp/workspace/pdf_images/page2_i1ed0d23bd9e5c5f6e7c9fcf92a395d5b1.png', '/tmp/workspace/pdf_images/diagram4.jpg'), ] for src, dst in imgs: img = Image.open(src) img.convert('RGB').save(dst, quality=95) print(f'Saved {dst}') "

python3 -c " from PIL import Image imgs = [ ('/tmp/workspace/pdf_images/page1_i75098b230d6b050e25923af8431592e71.png', '/tmp/workspace/pdf_images/diagram_hes.jpg'), ('/tmp/workspace/pdf_images/page1_i0e32fe8418946f5ccc5dae14db853f7b1.png', '/tmp/workspace/pdf_images/diagram_crime.jpg'), ] for src, dst in imgs: img = Image.open(src) img.convert('RGB').save(dst, quality=95) print(f'Saved {dst}, size={img.size}') "

python3 -c " import pdfplumber import re path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' with pdfplumber.open(path) as pdf: print(f'Total pages: {len(pdf.pages)}') # Print first 5 pages to understand structure for i in range(min(5, len(pdf.pages))): text = pdf.pages[i].extract_text() print(f'=== PAGE {i+1} ===') print(text[:1000] if text else 'NO TEXT') print() " 2>&1 | head -100

python3 << 'EOF' import pdfplumber import re path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' # Extract all text, search for "differ" keyword with pdfplumber.open(path) as pdf: all_text = {} for i, page in enumerate(pdf.pages): text = page.extract_text() if text and ('differ' in text.lower() or 'Differ' in text): all_text[i+1] = text print(f"Pages with 'differ': {list(all_text.keys())}") EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' # Topics we need - search for key pages keywords = { 'firearm entry stab': ['firearm', 'entry wound', 'stab'], 'entry exit wound': ['exit wound'], 'cut throat': ['cut throat', 'cut-throat'], 'antemortem postmortem burns': ['burns', 'ante-mortem', 'antemortem'], 'antemortem postmortem wounds': ['ante-mortem wound', 'post-mortem wound'], 'bruise artificial': ['bruise', 'artificial'], 'drowning': ['drowning'], 'hanging strangulation': ['hanging', 'strangulation'], 'rigor mortis spasm': ['rigor mortis', 'cadaveric spasm'], 'postmortem staining': ['post-mortem stain', 'staining'], 'snake poisonous': ['poisonous snake', 'non-poisonous'], 'viper cobra': ['viper', 'cobra'], 'neurotoxic vasculotoxic': ['neurotoxic', 'vasculotoxic'], 'arsenic cholera': ['arsenic', 'cholera'], 'strychnine tetanus': ['strychnine', 'tetanus'], 'drunkenness concussion': ['drunkenness', 'concussion'], 'drug addiction habituation': ['addiction', 'habituation'], 'stillborn deadborn': ['stillborn', 'deadborn'], 'virgin': ['virgin'], 'abortion': ['abortion', 'criminal abortion'], 'pelvis male female': ['pelvis'], 'skull male female': ['skull'], 'hair human animal': ['human hair', 'animal hair'], 'burns dry moist chemical': ['dry heat', 'moist heat', 'chemical burn'], } with pdfplumber.open(path) as pdf: for i, page in enumerate(pdf.pages): text = page.extract_text() if not text: continue tl = text.lower() for topic, kws in keywords.items(): if any(k.lower() in tl for k in kws): if 'differ' in tl or 'distinguish' in tl or 'compar' in tl or 'contrast' in tl: print(f"PAGE {i+1} [{topic}]: {text[:300]}") print("---") break EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' # Key pages with differentiation content key_pages = [92, 93, 94, 95, 96, 97, 98, 102, 103, 104, 105, 106, 107, 108, 109, 110, 126, 127, 128, 129, 130, 131, 132, 133, 134, 161, 162, 163, 164, 165, 166, 146, 147, 148, 149, 150, 151, 152, 153, 154, 155, 217, 218, 219, 220, 221, 222, 223, 224, 225, 226] with pdfplumber.open(path) as pdf: for pg in key_pages: if pg <= len(pdf.pages): text = pdf.pages[pg-1].extract_text() if text: print(f"\n{'='*60}") print(f"PAGE {pg}") print('='*60) print(text) EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' key_pages = list(range(36, 42)) + list(range(55, 72)) + list(range(170, 195)) with pdfplumber.open(path) as pdf: for pg in key_pages: if pg <= len(pdf.pages): text = pdf.pages[pg-1].extract_text() if text and ('differ' in text.lower() or 'pelvis' in text.lower() or 'skull' in text.lower() or 'hair' in text.lower() or 'drunken' in text.lower() or 'concuss' in text.lower() or 'addict' in text.lower() or 'habitu' in text.lower()): print(f"\n{'='*60}") print(f"PAGE {pg}") print('='*60) print(text) EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' # pages with identification diffs (pelvis, skull, hair) and toxicology diffs key_pages = list(range(74, 92)) + list(range(193, 226)) with pdfplumber.open(path) as pdf: for pg in key_pages: if pg <= len(pdf.pages): text = pdf.pages[pg-1].extract_text() if text and ('DIFFER' in text or 'pelvis' in text.lower() or 'skull' in text.lower() or 'hair' in text.lower() or 'drunken' in text.lower() or 'concuss' in text.lower() or 'addict' in text.lower() or 'habitu' in text.lower() or 'entry wound' in text.lower() or 'exit wound' in text.lower()): print(f"\n{'='*60}") print(f"PAGE {pg}") print('='*60) print(text) EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' # Search pages for remaining items: drunkenness vs concussion, drug addiction vs habituation # human vs animal hair, firearm entry vs stab/exit all_pages = list(range(1, 227)) with pdfplumber.open(path) as pdf: for pg in all_pages: if pg <= len(pdf.pages): text = pdf.pages[pg-1].extract_text() if not text: continue tl = text.lower() needed = ( ('concuss' in tl and 'drunk' in tl) or ('addict' in tl and 'habitu' in tl) or ('human hair' in tl and 'animal hair' in tl) or ('entry wound' in tl and 'exit wound' in tl) or ('entry' in tl and 'stab' in tl and ('differ' in tl or 'firearm' in tl)) or ('neurotoxic' in tl and 'vasculotoxic' in tl) or ('antemo' in tl and 'drowning' in tl and 'differ' in tl) ) if needed: print(f"\n{'='*60}") print(f"PAGE {pg}") print('='*60) print(text) EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' with pdfplumber.open(path) as pdf: for pg in range(1, 227): if pg <= len(pdf.pages): text = pdf.pages[pg-1].extract_text() if not text: continue tl = text.lower() # Look for drunkenness vs concussion, drug addiction vs habituation, entry vs exit, entry vs stab, antemo drowning, neurotox vascul needed = ( ('concuss' in tl and ('drunk' in tl or 'differ' in tl)) or ('habitu' in tl and 'addict' in tl and 'differ' in tl) or ('entry' in tl and 'exit' in tl and 'differ' in tl) or ('stab' in tl and 'entry' in tl and 'firearm' in tl and 'differ' in tl) or ('neurotoxic' in tl and 'vasculotoxic' in tl and 'differ' in tl) or ('antemortem' in tl and 'postmortem' in tl and 'drown' in tl and 'differ' in tl) ) if needed: print(f"\n{'='*60}") print(f"PAGE {pg}") print('='*60) print(text) EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' # Search for exact differentiation sections in all pages with pdfplumber.open(path) as pdf: total = len(pdf.pages) print(f"Total pages: {total}") for pg in range(1, total+1): text = pdf.pages[pg-1].extract_text() if not text: continue # Search for specific keywords in differentiation blocks if ('drunkenness' in text.lower() and 'concussion' in text.lower()): print(f"\nPAGE {pg} [drunkenness+concussion]:") print(text) if ('drug addiction' in text.lower() and 'drug habituation' in text.lower()): print(f"\nPAGE {pg} [drug addiction+habituation]:") print(text) if ('entry wound' in text.lower() and 'exit wound' in text.lower() and ('differ' in text.lower() or 'versus' in text.lower() or ' vs ' in text.lower())): print(f"\nPAGE {pg} [entry+exit wound diff]:") print(text) if 'neurotoxic' in text.lower() and 'vasculotoxic' in text.lower() and ('differ' in text.lower() or 'venom' in text.lower()): print(f"\nPAGE {pg} [neurotoxic+vasculotoxic]:") print(text) if 'antemortem' in text.lower() and 'drowning' in text.lower() and 'postmortem' in text.lower(): print(f"\nPAGE {pg} [AM+PM drowning]:") print(text[:500]) EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' # Get specific differentiation pages in toxicology for drunkenness vs concussion, drug addiction vs habituation # and the remaining pages around snake bite (neurotoxic vs vasculotoxic differentiation table) # and AM vs PM drowning differentiation check_pages = list(range(85, 93)) + list(range(195, 228)) with pdfplumber.open(path) as pdf: for pg in check_pages: if pg <= len(pdf.pages): text = pdf.pages[pg-1].extract_text() if text: print(f"\n{'='*60}") print(f"PAGE {pg}") print('='*60) print(text[:2000]) EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' # Search all pages for drunkenness vs concussion, drug addiction vs habituation # and firearm entry vs exit wound, AM vs PM drowning differentiation table with pdfplumber.open(path) as pdf: total = len(pdf.pages) for pg in range(1, total+1): text = pdf.pages[pg-1].extract_text() if not text: continue tl = text.lower() # drunkenness and concussion in same differentation block if 'drunkenness' in tl and 'concussion' in tl: print(f"\nPAGE {pg} [drunkenness+concussion FOUND]:") print(text) # drug addiction vs habituation if 'habituation' in tl and 'addiction' in tl: print(f"\nPAGE {pg} [addiction+habituation FOUND]:") print(text) # firearm entry vs exit wound differentiation if 'entry wound' in tl and 'exit wound' in tl and 'firearm' in tl: print(f"\nPAGE {pg} [firearm entry exit FOUND]:") print(text[:1500]) # AM vs PM drowning differentiation table if 'antemortem drowning' in tl and 'postmortem drowning' in tl: print(f"\nPAGE {pg} [AM PM drowning diff FOUND]:") print(text) # neurotoxic vs vasculotoxic venom diff if 'neurotoxic' in tl and 'vasculotoxic' in tl and 'snake' in tl and ('differ' in tl or 'vs' in tl): print(f"\nPAGE {pg} [neurotoxic vasculotoxic venom FOUND]:") print(text[:1500]) EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' # Search specifically for the differentiations in injury chapter for entry vs exit and stab vs firearm entry # and for drunkenness vs concussion and drug addiction vs habituation with pdfplumber.open(path) as pdf: total = len(pdf.pages) for pg in range(1, total+1): text = pdf.pages[pg-1].extract_text() if not text: continue # Look for differentiation tables with these exact terms if ('Entry wound' in text and 'Exit wound' in text) or ('entry wound' in text and 'exit wound' in text): if 'differ' in text.lower() or 'Ans:' in text: print(f"\n--- PAGE {pg} ---") print(text[:3000]) if 'drunkenness' in text.lower() and ('concussion' in text.lower() or 'head injury' in text.lower()): print(f"\n--- PAGE {pg} DRUNKENNESS ---") print(text[:3000]) if 'Drug addiction' in text or 'drug addiction' in text.lower(): if 'habituation' in text.lower(): print(f"\n--- PAGE {pg} ADDICTION ---") print(text) EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' with pdfplumber.open(path) as pdf: total = len(pdf.pages) # find the DIFFERENTIATION sections in injury chapter for entry vs exit wound and entry vs stab # and the toxicology chapter for drunkenness vs concussion, drug addiction vs habituation for pg in range(1, total+1): text = pdf.pages[pg-1].extract_text() if not text: continue # Look for the specific numbered differentiation items if ('Entry wound' in text and 'Stab wound' in text and 'Firearm' in text) or \ ('firearm' in text.lower() and 'stab' in text.lower() and 'entry' in text.lower() and 'differ' in text.lower()): print(f"\n--- PAGE {pg} firearm stab entry ---") print(text) # Look for drunkenness vs concussion differentiation table if ('Drunkenness' in text and 'Concussion' in text) or ('drunkenness' in text.lower() and 'concussion' in text.lower() and 'Ans:' in text): print(f"\n--- PAGE {pg} drunkenness concussion diff ---") print(text) # drug addiction and habituation if ('Drug addiction' in text and 'Drug habituation' in text) or ('drug addiction' in text.lower() and 'drug habituation' in text.lower()): print(f"\n--- PAGE {pg} drug addiction habituation ---") print(text) # AM and PM drowning differentiation if 'Antemortem drowning' in text and 'Postmortem drowning' in text: print(f"\n--- PAGE {pg} AM PM drowning ---") print(text) # neurotoxic and vasculotoxic venom if 'Neurotoxic venom' in text and 'Vasculotoxic venom' in text: print(f"\n--- PAGE {pg} neurotoxic vasculotoxic venom ---") print(text) EOF

python3 << 'EOF' import pdfplumber path = '/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/Gautam_Biswas_Tejpreet_Singh_Exam_Preparatory_Manual_of_Forensic.pdf' with pdfplumber.open(path) as pdf: total = len(pdf.pages) # Read ALL differentiation sections in injury and toxicology chapters # Scan all diff section pages specifically (127-135 for injury, 223-226 for toxicology) diff_pages = list(range(127, 140)) + list(range(75, 93)) for pg in diff_pages: if pg <= total: text = pdf.pages[pg-1].extract_text() if text: print(f"\n=== PAGE {pg} ===") print(text) EOF

ls /tmp/workspace/ && pip show reportlab pillow matplotlib 2>/dev/null | grep -E "Name|Version" | head -20

mkdir -p /tmp/workspace/forensic_diagrams cat > /tmp/workspace/forensic_diagrams/make_diagrams.py << 'PYEOF' import matplotlib matplotlib.use('Agg') import matplotlib.pyplot as plt import matplotlib.patches as mpatches from matplotlib.patches import FancyBboxPatch import textwrap import os OUT = '/tmp/workspace/forensic_diagrams' # Color scheme matching the response (5).pdf style LEFT_BG = '#D6EAF8' # light blue - left column header bg RIGHT_BG = '#FADBD8' # light red - right column header bg LEFT_HDR = '#1A5276' # dark blue - left header text RIGHT_HDR= '#922B21' # dark red - right header text ROW_A = '#FFFFFF' # white rows ROW_B = '#F2F3F4' # light grey rows TITLE_BG = '#2C3E50' # dark navy - title bar TITLE_FG = '#FFFFFF' # white title text NUM_CLR = '#5D6D7E' # feature number column def wrap(text, width=38): lines = textwrap.wrap(str(text), width) return '\n'.join(lines) if lines else str(text) def make_diagram(title, left_label, right_label, rows, filename, chapter=''): """ rows: list of (feature, left_value, right_value) """ n = len(rows) # Dynamic height row_h = 0.55 fig_h = 1.8 + n * row_h fig, ax = plt.subplots(figsize=(14, fig_h)) ax.set_xlim(0, 14) ax.set_ylim(0, fig_h) ax.axis('off') y_top = fig_h # ── Title bar ── title_h = 0.70 ax.add_patch(FancyBboxPatch((0.1, y_top - title_h - 0.05), 13.8, title_h, boxstyle="round,pad=0.05", facecolor=TITLE_BG, edgecolor='none', zorder=2)) # Chapter tag if chapter: ax.text(0.35, y_top - 0.41, chapter, va='center', ha='left', fontsize=8, color='#AAB7B8', fontweight='normal', zorder=3) ax.text(7.0, y_top - 0.41, title, va='center', ha='center', fontsize=12.5, color=TITLE_FG, fontweight='bold', zorder=3) # ── Column headers ── hdr_top = y_top - title_h - 0.1 hdr_h = 0.52 col_x = [0.1, 3.2, 8.6] # feature | left | right col starts col_w = [3.0, 5.3, 5.3] # Feature col header ax.add_patch(FancyBboxPatch((col_x[0], hdr_top - hdr_h), col_w[0], hdr_h, boxstyle="round,pad=0.03", facecolor='#BDC3C7', edgecolor='none', zorder=2)) ax.text(col_x[0]+col_w[0]/2, hdr_top - hdr_h/2, 'FEATURE', va='center', ha='center', fontsize=10, fontweight='bold', color='#2C3E50', zorder=3) # Left col header ax.add_patch(FancyBboxPatch((col_x[1], hdr_top - hdr_h), col_w[1], hdr_h, boxstyle="round,pad=0.03", facecolor=LEFT_BG, edgecolor='none', zorder=2)) ax.text(col_x[1]+col_w[1]/2, hdr_top - hdr_h/2, left_label, va='center', ha='center', fontsize=11, fontweight='bold', color=LEFT_HDR, zorder=3) # Right col header ax.add_patch(FancyBboxPatch((col_x[2], hdr_top - hdr_h), col_w[2], hdr_h, boxstyle="round,pad=0.03", facecolor=RIGHT_BG, edgecolor='none', zorder=2)) ax.text(col_x[2]+col_w[2]/2, hdr_top - hdr_h/2, right_label, va='center', ha='center', fontsize=11, fontweight='bold', color=RIGHT_HDR, zorder=3) # ── Data rows ── row_top = hdr_top - hdr_h - 0.05 for i, (feat, lval, rval) in enumerate(rows): bg = ROW_A if i % 2 == 0 else ROW_B y0 = row_top - (i+1)*row_h # Row backgrounds for cx, cw in zip(col_x, col_w): ax.add_patch(FancyBboxPatch((cx, y0), cw, row_h-0.04, boxstyle="round,pad=0.02", facecolor=bg, edgecolor='#D5D8DC', linewidth=0.4, zorder=1)) # Feature text ax.text(col_x[0]+0.15, y0 + (row_h-0.04)/2, str(feat), va='center', ha='left', fontsize=8.5, color='#2C3E50', fontweight='bold', zorder=3, wrap=True, multialignment='left') # Left value lv = wrap(lval, 36) ax.text(col_x[1]+0.15, y0 + (row_h-0.04)/2, lv, va='center', ha='left', fontsize=8.5, color=LEFT_HDR, zorder=3, multialignment='left') # Right value rv = wrap(rval, 36) ax.text(col_x[2]+0.15, y0 + (row_h-0.04)/2, rv, va='center', ha='left', fontsize=8.5, color=RIGHT_HDR, zorder=3, multialignment='left') plt.tight_layout(pad=0.2) path = os.path.join(OUT, filename) plt.savefig(path, dpi=150, bbox_inches='tight', facecolor='white', edgecolor='none') plt.close() print(f"Saved: {path}") return path # ══════════════════════════════════════════ # ALL 25 DIAGRAMS # ══════════════════════════════════════════ saved = [] # Q1 saved.append(make_diagram( "Q1. Firearm Entry Wound vs Stab Entry Wound", "FIREARM ENTRY WOUND", "STAB ENTRY WOUND", [ ("Weapon", "Firearm (rifled/smooth bore)", "Sharp pointed weapon (knife, dagger)"), ("Shape", "Circular / Stellate (contact shot)", "Spindle-shaped"), ("Size", "Smaller than bullet (except contact)", "Corresponds to width of weapon"), ("Edges", "Inverted", "Clean cut, inverted"), ("Abrasion collar", "Present", "Absent (hilt mark may be seen)"), ("Grease collar", "Present", "Absent"), ("Blackening / Tattooing", "Present (range-dependent)", "Absent"), ("Singeing of hair", "Present (close range)", "Absent"), ("Wound track colour", "Cherry-red (due to COHb)", "Not cherry-red"), ("Clothes", "Fibers turned inward", "Fibers turned inward"), ("Surrounding bruise", "Present (abrasion collar)", "May be present (hilt mark)"), ("Greatest dimension", "Depends on range", "Depth is greatest dimension"), ], "Q01_firearm_entry_vs_stab_entry.png", chapter="Chapter 1 – Mechanical Injuries" )) # Q2 saved.append(make_diagram( "Q2. Firearm Entry Wound vs Exit Wound", "ENTRY WOUND", "EXIT WOUND", [ ("Size", "Smaller than bullet (except contact shot)", "Larger than entry wound"), ("Edges", "Inverted", "Everted"), ("Abrasion collar", "Present", "Absent"), ("Grease collar", "Present", "Absent"), ("Blackening / Tattooing", "Present (range-dependent)", "Absent"), ("Burning / Singeing", "Present (close range)", "Absent"), ("Bleeding", "Less", "More profuse"), ("Skull – inner table", "Beveled inward (punched out)", "Beveled outward"), ("Clothes", "Fibers turned inward", "Fibers turned outward"), ("Metallization (Joule)", "Demonstrated", "NOT demonstrated"), ], "Q02_firearm_entry_vs_exit.png", chapter="Chapter 1 – Mechanical Injuries" )) # Q3 saved.append(make_diagram( "Q3. Suicidal vs Homicidal Cut-Throat Injury", "SUICIDAL CUT THROAT", "HOMICIDAL CUT THROAT", [ ("Location", "Left side of neck", "On the sides of neck (both sides)"), ("Direction", "Oblique L→R or Above downwards", "Horizontal OR Below upwards"), ("Level", "Above thyroid cartilage", "Below thyroid cartilage"), ("Severity of wound", "Superficial (multiple), Less severe", "Deep (multiple), More severe"), ("Carotid artery", "NOT cut", "CUT"), ("Hesitation cuts", "Present", "Absent"), ("Defense wounds", "Present", "Absent"), ("Weapon at crime scene", "Present", "Absent"), ("Suicidal note", "Present", "Present"), ("Signs of struggle / foreign materials", "Absent", "Present"), ], "Q03_suicidal_vs_homicidal_cutthroat.png", chapter="Chapter 1 – Mechanical Injuries" )) # Q4 saved.append(make_diagram( "Q4. Antemortem Burns vs Postmortem Burns", "ANTEMORTEM BURNS", "POSTMORTEM BURNS", [ ("Line of redness", "Present", "Absent"), ("Blisters", "Contains inflammatory fluid", "Contains gas bubbles"), ("Base of blister", "Red, swollen", "Dry, hard and pale"), ("Vital reaction", "Present", "Absent"), ("Sign of healing", "Present", "Absent"), ("Soot particles in airway", "Present", "Absent"), ("Infection", "Present", "Absent"), ("COHb in blood", "Present", "Absent"), ], "Q04_AM_vs_PM_burns.png", chapter="Chapter 1 – Mechanical Injuries" )) # Q5 saved.append(make_diagram( "Q5. Antemortem Wounds vs Postmortem Wounds", "ANTEMORTEM INJURIES", "POSTMORTEM INJURIES", [ ("Bleeding", "Profuse", "Slight / Absent"), ("Source of bleeding", "Arterial", "Venous"), ("Extravasation of blood", "Present", "Absent"), ("Signs of spurting", "Present", "Absent"), ("Coagulation", "Present", "Absent"), ("Vital reaction", "Present", "Absent"), ("Chances of infection", "Present", "Absent"), ("Infiltration by cells", "Present", "Absent"), ("Enzyme activity", "Present", "Absent"), ], "Q05_AM_vs_PM_wounds.png", chapter="Chapter 1 – Mechanical Injuries" )) # Q6 saved.append(make_diagram( "Q6. True Bruise vs Artificial Bruise", "TRUE BRUISE", "ARTIFICIAL BRUISE", [ ("Caused by", "Trauma", "Juice of marking nut / Calotropis"), ("Site", "Anywhere", "Accessible parts of body"), ("Color changes", "Seen (VIBGYOR pattern)", "Only dark brown colour"), ("Signs of inflammation", "At site", "Surrounding the site"), ("Margins", "Irregular", "Regular and well defined"), ("Blisters and itching", "Absent", "Present"), ("Content", "Blood", "Acid serum"), ], "Q06_true_vs_artificial_bruise.png", chapter="Chapter 1 – Mechanical Injuries" )) # Q7 saved.append(make_diagram( "Q7. Antemortem Drowning vs Postmortem Drowning", "ANTEMORTEM DROWNING", "POSTMORTEM DROWNING", [ ("Froth at mouth/nostrils", "Fine, white, tenacious, copious – reappears on pressing chest (pathognomonic)", "Absent"), ("Cadaveric spasm", "Present – grass/mud gripped in hand", "Absent"), ("Lungs", "Voluminous, ballooned, rib impressions (emphysema aquosum)", "No such changes"), ("Water in trachea/bronchus", "Present", "Absent or minimal"), ("Water in stomach/intestine", "Present", "Absent"), ("Paltauf's hemorrhages", "Present (subpleural)", "Absent"), ("Diatom test", "Diatoms in distant organs (BM, spleen, kidney)", "Diatoms NOT in distant organs"), ("Gettler's test", "Chloride difference: Rt>Lt (fresh); Lt>Rt (salt)", "No difference"), ("PM staining", "Face, neck, front of chest, limbs", "Non-specific distribution"), ("Cutis anserine", "Contraction of erector pili in cold water", "Rigor mortis of erector pili"), ], "Q07_AM_vs_PM_drowning.png", chapter="Chapter 2 – Asphyxial Deaths" )) # Q8 saved.append(make_diagram( "Q8. Hanging vs Strangulation", "HANGING", "STRANGULATION", [ ("Signs of asphyxia", "Less marked", "More marked"), ("Bleeding from nose/ear", "Rare", "More common"), ("Ligature – Direction", "Oblique", "Horizontal"), ("Ligature – Continuity", "Incomplete", "Complete"), ("Ligature – Level", "Above thyroid cartilage", "Below thyroid cartilage"), ("Ligature – Base", "Hard, dry, parchment-like", "Soft, reddish base"), ("Abrasions/bruise around ligature", "Less common", "More common"), ("Tissues beneath ligature", "White, glistening", "Shows hemorrhage and ecchymosis"), ("Fracture – thyroid cartilage", "Less common", "More common"), ("Fracture – hyoid bone", "More common", "Less common"), ("Stains of saliva", "Common", "Rare"), ("Discharge – urine/feces", "Less common", "More common"), ("Seminal discharge", "Common", "Rare"), ("Manner of death", "Suicidal", "Homicidal"), ], "Q08_hanging_vs_strangulation.png", chapter="Chapter 2 – Asphyxial Deaths" )) # Q9 saved.append(make_diagram( "Q9. Rigor Mortis vs Cadaveric Spasm", "CADAVERIC SPASM", "RIGOR MORTIS", [ ("Onset", "Instantaneous", "Within 2 hrs after death"), ("Muscles involved", "Voluntary muscles only", "All muscles (voluntary & involuntary)"), ("Molecular death", "Does not occur", "Occurs"), ("Electrical stimulus response", "Yes", "No"), ("Primary flaccidity", "Not seen", "Occurs before rigor mortis"), ("Mechanism", "Not known", "Breakdown of ATP below critical level"), ("Predisposing factors", "Excitement, extreme exhaustion", "None"), ("Other methods of producing", "No other method", "By freezing / temp >65°C"), ("Intensity", "Very strong", "Comparatively moderate"), ("MLI", "Suggests manner of death", "Time since death can be estimated"), ], "Q09_rigor_mortis_vs_cadaveric_spasm.png", chapter="Chapter 3 – Post-mortem Changes" )) # Q10 saved.append(make_diagram( "Q10. Contusion (Bruise) vs Post-mortem Staining", "CONTUSION (BRUISE)", "POST-MORTEM STAINING", [ ("Occurs due to", "Rupture of vessels", "Distension of blood vessels"), ("Site", "Anywhere", "On dependent parts"), ("Margins", "Irregular", "Regular"), ("Blanching", "Absent", "Present"), ("Color changes", "Present", "Absent"), ("Extravasation", "Present", "Absent"), ("Effect of pressure", "No change", "Blanches when pressure applied"), ("On incision", "Blood in surrounding tissues; cannot be washed", "Blood in vessels; easily washed by water"), ], "Q10_contusion_vs_PM_staining.png", chapter="Chapter 3 – Post-mortem Changes" )) # Q11 saved.append(make_diagram( "Q11. Rigor Mortis vs Heat Stiffening", "RIGOR MORTIS", "HEAT STIFFENING", [ ("Cause", "ATP depletion after death", "Heat coagulation of proteins"), ("Onset", "1–2 hrs after death", "After exposure to high heat"), ("Reversibility", "Passes off in 36–48 hrs (secondary flaccidity)", "Permanent – does not pass off"), ("Muscles affected", "All muscles", "All muscles"), ("COHb in blood", "Absent", "Present"), ("Associated findings", "Normal PM changes", "Burns, soot particles in airway"), ], "Q11_rigor_mortis_vs_heat_stiffening.png", chapter="Chapter 3 – Post-mortem Changes" )) # Q12 saved.append(make_diagram( "Q12. Poisonous vs Non-Poisonous Snake / Bite", "POISONOUS SNAKE / BITE", "NON-POISONOUS SNAKE / BITE", [ ("Fang marks", "Two fang marks", "Semicircular set of teeth marks"), ("Bite site", "Discoloration, swelling, cellulitis, hemorrhage", "Redness and slight swelling"), ("Treatment", "Wound care + antisnake venom + tetanus", "Wound care + tetanus"), ("Head scales", "Small", "Large"), ("Belly scales", "Large; cover entire breadth of belly", "Small; do not cover entire breadth"), ("Fangs", "Long and canalized", "Short and solid"), ("Tail", "Compressed", "Not compressed"), ("Habits", "Nocturnal", "Nocturnal"), ], "Q12_poisonous_vs_nonpoisonous_snake.png", chapter="Chapter 4 – Snake Bite" )) # Q13 saved.append(make_diagram( "Q13. Viper Bite (Russell Viper) vs Cobra Bite", "RUSSELL VIPER (Viper Bite)", "COBRA (Cobra Bite)", [ ("Venom type", "Vasculotoxic", "Neurotoxic"), ("Pupils of snake", "Vertical", "Circular"), ("Reproduction", "Viviparous", "Oviparous"), ("Head", "Large, triangular; small scales", "Small; covered by large scales"), ("Body", "Short, stout", "Long, cylindrical"), ("Tail", "Tapering", "Round"), ("Fangs", "Long, mobile, canalised", "Short, fixed, grooved"), ("Maxillary bone", "Only fangs", "Fangs and other teeth"), ], "Q13_viper_vs_cobra.png", chapter="Chapter 4 – Snake Bite" )) # Q14 saved.append(make_diagram( "Q14. Neurotoxic vs Vasculotoxic Snake Venom", "NEUROTOXIC (Cobra / Krait)", "VASCULOTOXIC (Viper)", [ ("Local necrosis", "Wet gangrene with putrid smell", "Extensive dry gangrene"), ("Local reaction", "Less", "More (pain and oozing)"), ("Blisters", "Absent", "Serous and serosanguineous blisters"), ("Head/neck signs", "Drooping of head, lower lip, eyelids; blurred vision", "Bilateral parotid swelling ('viper head')"), ("Neurological", "Numbness/tingling; tongue paralyzed; limb & respiratory paralysis", "Usually absent"), ("Bleeding", "Absent", "Petechiae, epistaxis, hemoptysis, hematuria"), ("Renal", "Usually normal", "Acute renal failure, hypotension"), ("Classic signs", "5Ds: Dyspnea, Dysphonia, Dysarthria, Diplopia, Dysphagia; 2Ps: Ptosis, Paralysis", "Coagulopathy – 20 WBCT positive (incoagulable blood)"), ("Cause of death", "Respiratory failure", "Hemorrhage / renal failure"), ], "Q14_neurotoxic_vs_vasculotoxic.png", chapter="Chapter 4 – Snake Bite" )) # Q15 saved.append(make_diagram( "Q15. Arsenic Poisoning vs Cholera", "ARSENIC POISONING", "CHOLERA", [ ("Symptoms – order", "1. Pain in throat → 2. Vomiting → 3. Purging", "1. Purging → 2. Vomiting → 3. Pain in throat"), ("Vomitus", "Contains mucus, bile and blood", "Watery without mucus and bile"), ("Stools", "Rice watery; ± blood", "Rice watery without blood"), ("Tenesmus & anal pain", "Present", "Absent"), ("Voice changes", "Absent", "Present"), ("Lab investigation", "Arsenic detected in chemical analysis", "Vibrio cholerae present"), ("Manner", "Homicidal > Accidental", "No such thing"), ], "Q15_arsenic_vs_cholera.png", chapter="Chapter 5 – Toxicology" )) # Q16 saved.append(make_diagram( "Q16. Strychnine Poisoning vs Tetanus", "STRYCHNINE POISONING", "TETANUS", [ ("Onset of symptoms", "Sudden", "Gradual"), ("Site of action", "Postsynaptic membrane", "Presynaptic membrane"), ("Convulsions", "Generalised", "Localised"), ("Lock jaw", "No preference", "Seen predominantly (trismus)"), ("Fatal period", "< 2 hrs", "> 24 hrs"), ("State between convulsions", "Relaxed", "Rigid"), ("Lab diagnosis", "Strychnine found in chemical analysis", "Clostridium tetani found in culture"), ], "Q16_strychnine_vs_tetanus.png", chapter="Chapter 5 – Toxicology" )) # Q17 saved.append(make_diagram( "Q17. Drunkenness vs Concussion (Head Injury)", "DRUNKENNESS", "CONCUSSION (Head Injury)", [ ("History", "Consumption of alcohol", "Head trauma"), ("Smell of alcohol", "Present on breath", "Absent"), ("Eyes", "Drooping eyelids; conjunctival congestion; nystagmus; convergence test –ve", "May show anisocoria (unequal pupils)"), ("Reflexes", "Equally depressed", "May show Babinski; asymmetrical reflexes"), ("Gait", "Unsteady, staggering", "Unsteady"), ("Speech", "Thick and slurred", "May be slurred"), ("Response to stimulation", "Responds, arousable", "Lucid interval may be present (EDH)"), ("Blood alcohol (BAC)", "Elevated", "Normal"), ], "Q17_drunkenness_vs_concussion.png", chapter="Chapter 5 – Toxicology" )) # Q18 saved.append(make_diagram( "Q18. Drug Addiction vs Drug Habituation", "DRUG ADDICTION", "DRUG HABITUATION", [ ("Dependence", "Physical AND psychological", "Psychological only"), ("Compulsion to use", "Strong, uncontrollable craving", "Desire, not compulsion"), ("Withdrawal symptoms", "Severe physical withdrawal on stopping", "Little or no physical withdrawal"), ("Tolerance", "Marked – increasing dose needed", "Little or no tolerance"), ("Ability to stop", "Cannot stop without help", "Can stop with effort"), ("Harm to society", "Present", "Relatively less"), ("Examples", "Heroin, morphine, cocaine", "Tobacco, caffeine"), ], "Q18_drug_addiction_vs_habituation.png", chapter="Chapter 5 – Toxicology" )) # Q19 saved.append(make_diagram( "Q19. Liveborn (Respired) vs Stillborn (Unrespired) / Deadborn", "LIVEBORN / RESPIRED LUNGS", "STILLBORN / UNRESPIRED LUNGS", [ ("Definition", "Born after 28 wks; shows signs of life after birth", "Dead in uterus before birth process begins"), ("Volume of lungs", "Large", "Small"), ("Colour", "Mottled, salmon pink", "Uniformly bluish red"), ("Consistency", "Soft, spongy", "Dense, firm"), ("Margins", "Rounded", "Sharp"), ("Level of diaphragm", "6th–7th rib", "4th–5th rib"), ("Hydrostatic test", "POSITIVE – lungs float in water", "NEGATIVE – sinks in water"), ("Fodere's test (wt of lung)", "60–70 g", "Around 30–40 g"), ("Ploucquet's test (lung:baby wt)", "1 : 35", "1 : 70"), ("Breslau's 2nd life test", "Stomach floats (air present)", "Stomach sinks"), ("MLI", "Indicates live birth", "Indicates stillbirth / deadborn"), ], "Q19_liveborn_vs_stillborn.png", chapter="Chapter 6 – Sexual Offences & Obstetrics" )) # Q20 saved.append(make_diagram( "Q20. True Virgin vs False Virgin", "TRUE VIRGIN", "FALSE VIRGIN (Defloration)", [ ("Definition", "Never experienced sexual intercourse; hymen intact", "Experienced sexual intercourse but hymen remains intact"), ("Hymen", "Admits only tip of little finger", "Easily admits two fingers"), ("Clitoris", "Small", "Enlarged"), ("Labia minora", "Small, pinkish, covered by labia majora", "Enlarged, pigmented, separated from majora"), ("Labia majora", "Fleshy; completely close vaginal orifice", "Less fleshy, separated"), ("Vagina", "Narrow with marked rugosity", "Roomy with less rugosity"), ("Fourchette", "Intact", "Ruptured"), ("Posterior commissure", "Intact", "Ruptured"), ("Nipples and areola", "Small and pink", "Enlarged and pigmented"), ], "Q20_true_vs_false_virgin.png", chapter="Chapter 6 – Sexual Offences & Obstetrics" )) # Q21 saved.append(make_diagram( "Q21. Natural Abortion vs Criminal Abortion", "NATURAL ABORTION", "CRIMINAL ABORTION", [ ("Cause", "Predisposing disease", "In unmarried woman / widow"), ("Marks of violence on abdomen", "Absent", "Present"), ("Fetal injuries", "Absent", "Present"), ("Injuries on genital organs", "Absent", "Present"), ("Toxic effects of drugs", "Absent", "Present"), ("Sepsis", "Absent", "Present"), ("Foreign body in genital tract", "Absent", "Present"), ], "Q21_natural_vs_criminal_abortion.png", chapter="Chapter 6 – Sexual Offences & Obstetrics" )) # Q22 saved.append(make_diagram( "Q22. Male Pelvis vs Female Pelvis", "MALE PELVIS", "FEMALE PELVIS", [ ("Pre-auricular sulcus", "Narrow, shallow", "Broad, deep"), ("Subpubic angle", "V-shaped (70°–75°)", "U-shaped (90°–100°)"), ("Sciatic notch", "Small, narrow, deep", "Large, wide, shallow"), ("Pubis body", "Narrow and triangular", "Broad and square"), ("Ischial spines", "More prominent", "Less prominent"), ("Ischial tuberosity", "Inverted", "Everted"), ("Obturator foramen", "Oval", "Triangular, apex forwards"), ("Pelvic inlet", "Heart-shaped", "Circular / elliptical"), ("Pelvic cavity", "Funnel-shaped", "Broad"), ("Pelvic outlet", "Smaller", "Larger"), ("Sacroiliac joint surface", "Large, less angulated", "Small and L-shaped"), ], "Q22_male_vs_female_pelvis.png", chapter="Chapter 7 – Identification" )) # Q23 saved.append(make_diagram( "Q23. Male Skull vs Female Skull", "MALE SKULL", "FEMALE SKULL", [ ("Forehead", "Sloping / receding", "Vertical"), ("Glabella & supraorbital margins", "More prominent", "Less prominent"), ("Orbits", "Square-shaped and small", "Round-shaped and large"), ("Mastoid process", "Large, round and blunt", "Small and pointed"), ("Frontonasal junction", "Presence of angulation", "Smoothly curved"), ("Zygomatic arch", "More prominent", "Less prominent"), ("External occipital protuberance", "More prominent", "Less prominent"), ("Parietal eminence", "Less prominent", "More prominent"), ("Frontal eminence", "Less prominent", "More prominent"), ("Palate", "U-shaped", "Parabola-shaped"), ("Suprameatal crest", "Present", "Absent"), ], "Q23_male_vs_female_skull.png", chapter="Chapter 7 – Identification" )) # Q24 saved.append(make_diagram( "Q24. Human Hair vs Animal Hair", "HUMAN HAIR", "ANIMAL HAIR", [ ("Texture", "Thin and fine", "Thick and coarse"), ("Root", "Bulb-shaped", "Brush-like"), ("Cortex", "Broader", "Narrow"), ("Medulla", "Narrow / noncontinuous / fragmented", "Broad / continuous"), ("Medullary index", "< 1/3", "> 1/3"), ("Tip", "Cut / frayed", "Tapered"), ("Pigment granules", "Uniformly distributed", "Mostly around the medulla"), ], "Q24_human_vs_animal_hair.png", chapter="Chapter 7 – Identification" )) # Q25 – Two sub-tables saved.append(make_diagram( "Q25a. Dry Heat Burns vs Moist Heat Burns", "DRY HEAT BURNS", "MOIST HEAT BURNS", [ ("Produced by", "Flames", "Steam or hot liquid"), ("Site direction", "Burns spread below upwards", "Burns spread above downwards"), ("Clothes", "Burnt", "Wet"), ("Splashing", "Absent", "Present"), ("Singeing of hair", "Present", "Absent"), ("Charring", "Present", "Absent"), ("Color", "Black", "Bleached"), ("Vesicles", "On the edges", "All over the affected area"), ("Scar", "Thick", "Thin"), ], "Q25a_dry_vs_moist_burns.png", chapter="Chapter 8 – Miscellaneous" )) saved.append(make_diagram( "Q25b. Moist Heat Burns vs Chemical Burns", "MOIST HEAT (Scalds)", "CHEMICAL BURNS (Corrosives)", [ ("Site", "At or below site of contact", "At or below site of contact"), ("Splashing", "Present", "Present"), ("Skin appearance", "Sodden, bleached", "Corroded and devitalized"), ("Color", "Bleached", "Distinctive (brown-black in H₂SO₄; yellow in HNO₃)"), ("Vesicles", "Present", "Absent"), ("Ulceration", "Absent", "Present"), ("Clothes", "Wet, not burnt", "May be burnt; with characteristic stains"), ], "Q25b_moist_vs_chemical_burns.png", chapter="Chapter 8 – Miscellaneous" )) print(f"\nAll {len(saved)} diagrams generated successfully!") PYEOF python3 /tmp/workspace/forensic_diagrams/make_diagrams.py

cat > /tmp/workspace/forensic_diagrams/compile_pdf.py << 'PYEOF' from reportlab.lib.pagesizes import A4 from reportlab.lib.units import cm from reportlab.lib.utils import ImageReader from reportlab.pdfgen import canvas from reportlab.lib.colors import HexColor from PIL import Image import os, glob OUT_PDF = '/tmp/workspace/forensic_diagrams/Forensic_Medicine_25_Differences_Gautam_Biswas.pdf' IMG_DIR = '/tmp/workspace/forensic_diagrams' # Ordered list of images files = sorted([f for f in glob.glob(os.path.join(IMG_DIR, 'Q*.png'))]) W, H = A4 # 595 x 842 points MARGIN = 1.5*cm c = canvas.Canvas(OUT_PDF, pagesize=A4) # ── Cover page ── c.setFillColor(HexColor('#2C3E50')) c.rect(0, 0, W, H, fill=1, stroke=0) c.setFillColor(HexColor('#D6EAF8')) c.setFont("Helvetica-Bold", 22) c.drawCentredString(W/2, H - 5.5*cm, "FORENSIC MEDICINE & TOXICOLOGY") c.setFont("Helvetica-Bold", 17) c.setFillColor(HexColor('#FADBD8')) c.drawCentredString(W/2, H - 7*cm, "25 Differentiations – Diagrammatic Answers") c.setFont("Helvetica", 13) c.setFillColor(HexColor('#AAB7B8')) c.drawCentredString(W/2, H - 8.5*cm, "Source: Gautam Biswas & Tejpreet Singh") c.drawCentredString(W/2, H - 9.5*cm, "Exam Preparatory Manual of Forensic Medicine & Toxicology") # Chapters listed chapters = [ "Chapter 1 – Mechanical Injuries (Q1–Q6)", "Chapter 2 – Asphyxial Deaths (Q7–Q8)", "Chapter 3 – Post-mortem Changes (Q9–Q11)", "Chapter 4 – Snake Bite (Q12–Q14)", "Chapter 5 – Toxicology (Q15–Q18)", "Chapter 6 – Sexual Offences & Obstetrics (Q19–Q21)", "Chapter 7 – Identification (Q22–Q24)", "Chapter 8 – Miscellaneous (Q25)", ] c.setFont("Helvetica", 10) c.setFillColor(HexColor('#FDFEFE')) y = H - 12*cm for ch in chapters: c.drawCentredString(W/2, y, "• " + ch) y -= 0.75*cm c.showPage() # ── One diagram per page ── for img_path in files: # Open image to get its aspect ratio im = Image.open(img_path) iw, ih = im.size # Available drawing area avail_w = W - 2*MARGIN avail_h = H - 2*MARGIN # Scale to fit width scale = avail_w / iw draw_w = avail_w draw_h = ih * scale # If too tall, scale to fit height if draw_h > avail_h: scale = avail_h / ih draw_h = avail_h draw_w = iw * scale # Center on page x = (W - draw_w) / 2 y = (H - draw_h) / 2 c.setFillColor(HexColor('#FAFAFA')) c.rect(0, 0, W, H, fill=1, stroke=0) c.drawImage(img_path, x, y, width=draw_w, height=draw_h) c.showPage() c.save() print(f"PDF saved: {OUT_PDF}") print(f"Total pages: {len(files) + 1} (1 cover + {len(files)} diagrams)") PYEOF python3 /tmp/workspace/forensic_diagrams/compile_pdf.py

cd /tmp/workspace/forensic_diagrams && python3 - << 'EOF' # Convert the reference PDF pages to images so we can see the exact style from pypdf import PdfReader import subprocess, os pdf_path = "/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/response (2).pdf" reader = PdfReader(pdf_path) print(f"Pages: {len(reader.pages)}") for i, page in enumerate(reader.pages): print(f"\n--- Page {i+1} ---") print(page.extract_text()[:3000]) EOF

python3 - << 'EOF' import pdfplumber, os from PIL import Image import io pdf_path = "/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/response (2).pdf" out_dir = "/tmp/workspace/ref_style_images" os.makedirs(out_dir, exist_ok=True) # Extract images from PDF pages using pypdf from pypdf import PdfReader reader = PdfReader(pdf_path) img_count = 0 for page_num, page in enumerate(reader.pages): if '/XObject' in page['/Resources']: xobject = page['/Resources']['/XObject'].get_object() for obj_name, obj in xobject.items(): obj = obj.get_object() if obj.get('/Subtype') == '/Image': width = obj['/Width'] height = obj['/Height'] data = obj.get_data() try: img = Image.open(io.BytesIO(data)) out_path = os.path.join(out_dir, f"ref_p{page_num+1}_{obj_name}_{img_count}.png") img.save(out_path) print(f"Saved image: {out_path} ({width}x{height})") img_count += 1 except Exception as e: # Try saving raw data out_path = os.path.join(out_dir, f"ref_p{page_num+1}_{obj_name}_{img_count}.jpg") with open(out_path, 'wb') as f: f.write(data) print(f"Saved raw: {out_path} ({width}x{height}) - {e}") img_count += 1 print(f"\nTotal images extracted: {img_count}") EOF

python3 - << 'EOF' # Use pypdf's image extraction API (newer method) from pypdf import PdfReader import os from PIL import Image import io pdf_path = "/tmp/workspace/attachments/ad815510-d9d6-40d7-9bdc-19aef094902d/response (2).pdf" out_dir = "/tmp/workspace/ref_style_images" os.makedirs(out_dir, exist_ok=True) reader = PdfReader(pdf_path) img_count = 0 for page_num, page in enumerate(reader.pages): for img_obj in page.images: out_path = os.path.join(out_dir, f"ref_p{page_num+1}_{img_count}_{img_obj.name}") with open(out_path, 'wb') as f: f.write(img_obj.data) print(f"Saved: {out_path} size={len(img_obj.data)} bytes") img_count += 1 print(f"\nTotal: {img_count} images") EOF

# Print pixel size and show what the first few images look like python3 - << 'EOF' from PIL import Image import os img_dir = "/tmp/workspace/ref_style_images" for f in sorted(os.listdir(img_dir))[:5]: path = os.path.join(img_dir, f) im = Image.open(path) print(f"{f}: {im.size} mode={im.mode}") EOF

# Reduce image size for analysis - save a thumbnail python3 - << 'EOF' from PIL import Image import os img_dir = "/tmp/workspace/ref_style_images" thumb_dir = "/tmp/workspace/ref_thumbs" os.makedirs(thumb_dir, exist_ok=True) for i, f in enumerate(sorted(os.listdir(img_dir))[:5]): path = os.path.join(img_dir, f) im = Image.open(path) im.thumbnail((800, 600)) out = os.path.join(thumb_dir, f"thumb_{i}.jpg") im.save(out, quality=85) print(f"Saved {out} ({im.size})") EOF

Medical forensic infographic comparison diagram titled "DIFFERENCE BETWEEN HANGING AND STRANGULATION". Split into two equal colored panels side by side. LEFT panel has a PURPLE header labeled "HANGING" with an anatomical illustration of a neck with an oblique ligature mark going upward, incomplete at back. Labeled arrows pointing to: "Oblique direction", "Incomplete mark", "Above thyroid cartilage", "Parchment-like hard base", "Hyoid fracture more common", "Suicidal manner". RIGHT panel has an ORANGE header labeled "STRANGULATION" with anatomical illustration of a neck with a horizontal ligature mark, complete all around. Labeled arrows pointing to: "Horizontal direction", "Complete mark", "Below thyroid cartilage", "Soft reddish base", "Thyroid cartilage fracture more common", "Homicidal manner". Bottom comparison row with icons: Signs of asphyxia: Less vs More marked. Clean medical textbook illustration style, white background, bold sans-serif fonts, blue arrow labels.

Medical forensic infographic comparison diagram titled "DIFFERENCE BETWEEN SUICIDAL AND HOMICIDAL CUT THROAT". Split into two equal colored panels. LEFT panel TEAL/GREEN header "SUICIDAL CUT THROAT" with a neck illustration showing oblique wound from left to right, above thyroid cartilage, with hesitation cuts near it. Labels: "Oblique L to R direction", "Above thyroid cartilage", "Hesitation cuts present", "Defense wounds present", "Carotid NOT cut", "Weapon found at scene". RIGHT panel RED/ORANGE header "HOMICIDAL CUT THROAT" with neck illustration showing horizontal deep wound below thyroid cartilage. Labels: "Horizontal direction", "Below thyroid cartilage", "Carotid artery CUT", "No hesitation cuts", "Signs of struggle present", "More severe, deep wound". Bottom row shows tick and cross icons comparing each feature. Medical textbook infographic style, anatomical illustrations, bold colored headers, arrow labels, white background.

Medical forensic infographic comparison diagram titled "DIFFERENCE BETWEEN ANTEMORTEM AND POSTMORTEM BURNS". Two panels side by side. LEFT panel ORANGE header "ANTEMORTEM BURNS" with cross-sectional skin illustration showing: red line of redness at margins, inflammatory fluid-filled blisters with red swollen base, vital reaction tissue, soot in airways illustration. Check marks next to: "Line of redness Present", "Inflammatory fluid in blisters", "Red swollen blister base", "Vital reaction Present", "COHb in blood Present", "Sign of healing Present". RIGHT panel BLUE header "POSTMORTEM BURNS" with skin cross-section showing gas-filled blisters, dry pale base, no inflammation. Cross marks next to: "Line of redness Absent", "Gas bubbles in blisters", "Dry hard pale blister base", "Vital reaction Absent", "COHb Absent", "No healing". Medical textbook infographic style, anatomical skin cross-section illustrations, bold fonts, arrows, white background.

Medical forensic infographic comparison diagram titled "DIFFERENCE BETWEEN ANTEMORTEM AND POSTMORTEM WOUNDS". Two colored panels. LEFT panel DARK BLUE header "ANTEMORTEM INJURIES" with tissue illustration showing profuse arterial bleeding with spurting blood, blood extravasation into surrounding tissues, inflammatory cells infiltrating, clot formation. Green check marks next to: "Profuse bleeding", "Arterial source", "Blood extravasation Present", "Spurting signs Present", "Coagulation Present", "Vital reaction Present", "Infection possible", "Enzyme activity Present". RIGHT panel GREY header "POSTMORTEM INJURIES" with tissue showing minimal venous ooze only, no extravasation. Red cross marks next to: "Slight or no bleeding", "Venous source only", "No extravasation", "No spurting", "No coagulation", "No vital reaction", "No infection", "No enzyme activity". Medical textbook infographic style, anatomical tissue cross-section, bold colored headers, arrow labels.

Forensic medicine medical infographic diagram. Title at top: "Q1. FIREARM ENTRY WOUND vs STAB ENTRY WOUND". Two side-by-side colored comparison panels. LEFT panel with BLUE header "FIREARM ENTRY WOUND": anatomical skin cross-section showing circular wound smaller than bullet, inverted edges, abrasion collar ring around it, grease collar, blackening/tattooing on surrounding skin, fibers turned inward. Labeled arrows. RIGHT panel with RED header "STAB ENTRY WOUND": spindle-shaped clean wound, inverted clean edges, depth is greatest dimension, hilt mark possible, no abrasion collar, no tattooing. Feature comparison table at bottom: Shape | Circular/Stellate vs Spindle-shaped. Abrasion collar | Present vs Absent. Tattooing | Present vs Absent. Medical textbook infographic style with anatomical illustrations, colored headers, bold labels, white background.

Forensic medicine medical infographic diagram. Title: "Q2. FIREARM ENTRY WOUND vs EXIT WOUND". Two side-by-side colored panels. LEFT panel BLUE header "ENTRY WOUND": anatomical skin cross-section showing small wound, inverted edges turned inward, abrasion collar present, grease collar, less bleeding, fibers pointing inward, skull inner table beveled inward like punched out hole. Arrow labels pointing to each feature. RIGHT panel RED header "EXIT WOUND": larger wound, everted edges turned outward, no abrasion collar, profuse bleeding, fibers pointing outward, skull outer table beveled outward. Bottom comparison: Size | Smaller vs Larger. Edges | Inverted vs Everted. Abrasion collar | Present vs Absent. Bleeding | Less vs More. Medical textbook infographic style, anatomical bone and skin cross-sections, colored headers, bold labels, arrows.

Forensic medicine medical infographic diagram. Title: "Q3. SUICIDAL vs HOMICIDAL CUT THROAT". Two side-by-side colored panels. LEFT panel GREEN header "SUICIDAL CUT THROAT": neck illustration showing oblique wound going left to right above thyroid cartilage, multiple hesitation cuts nearby, carotid artery intact. Labels: Oblique L to R, Above thyroid cartilage, Hesitation cuts present, Carotid NOT cut, Defense wounds present, Weapon at scene. RIGHT panel RED header "HOMICIDAL CUT THROAT": neck illustration showing deep horizontal wound below thyroid cartilage, carotid artery severed. Labels: Horizontal direction, Below thyroid cartilage, No hesitation cuts, Carotid CUT, Signs of struggle present, Weapon absent. Medical textbook infographic style, anatomy illustrations of neck, colored headers, bold labeled arrows, white background.

Forensic medicine medical infographic diagram. Title: "Q4. ANTEMORTEM BURNS vs POSTMORTEM BURNS". Two side-by-side colored panels. LEFT panel ORANGE header "ANTEMORTEM BURNS": skin cross-section illustration showing blisters filled with cloudy inflammatory fluid, red swollen blister base, red line of redness at wound margin, soot particles shown in airway diagram. Green check marks: Line of redness Present, Inflammatory fluid in blisters, Red swollen base, Vital reaction Present, COHb in blood Present, Infection Present, Sign of healing Present. RIGHT panel GREY-BLUE header "POSTMORTEM BURNS": skin cross-section showing blisters filled with gas bubbles, dry hard pale base, no redness line. Red X marks: Line of redness Absent, Gas bubbles in blisters, Dry pale hard base, Vital reaction Absent, COHb Absent, No infection, No healing. Medical textbook infographic, anatomical skin cross-sections, colored headers, bold labels.

Medical forensic infographic diagram titled "Q19. STILLBORN (LIVEBORN) vs DEADBORN (STILLBORN) FETUS" in bold dark navy header bar. Two side-by-side colored panels below the title. LEFT panel with TEAL/GREEN header labeled "LIVEBORN / RESPIRED LUNGS (STILLBORN)": Shows a realistic medical illustration of large, mottled salmon-pink lungs that are soft and spongy with rounded margins, positioned lower (at 6th-7th rib level). A small hydrostatic test jar illustration shows lungs FLOATING in water with a green checkmark labeled "FLOATS - Positive". Baby illustration showing signs of life. Labels with arrows pointing to lung features: "Large volume", "Mottled salmon pink colour", "Soft, spongy consistency", "Rounded margins", "Diaphragm at 6th-7th rib", "Weight: 60-70g", "Lung:Baby ratio 1:35". Breslau test: stomach illustration FLOATS. RIGHT panel with RED/MAROON header labeled "DEADBORN / UNRESPIRED LUNGS (STILLBORN)": Shows small uniformly bluish-red lungs that are dense and firm with sharp margins, positioned higher (4th-5th rib level). Hydrostatic test jar shows lungs SINKING with red X labeled "SINKS - Negative". Fetus illustration showing no signs of life, already dead in uterus. Labels: "Small volume", "Uniformly bluish red colour", "Dense, firm consistency", "Sharp margins", "Diaphragm at 4th-5th rib", "Weight: 30-40g", "Lung:Baby ratio 1:70". Breslau test: stomach SINKS. Bottom strip: Comparison table with 3 columns (Feature | Liveborn | Deadborn) showing all 11 points including Hydrostatic test Positive vs Negative, Ploucquet's test 1:35 vs 1:70, Fodere's test 60-70g vs 30-40g, Breslau's test Floats vs Sinks. Medical textbook infographic style, anatomical lung illustrations, bold colored headers, arrow labels, clean white background, professional forensic medicine diagram.

Medical forensic infographic card. Title bar: "Q19 - POINT 1: DEFINITION". Two side-by-side panels. LEFT panel GREEN header "LIVEBORN (Stillborn)": illustration of a newborn baby crying with signs of life - open eyes, breathing, heartbeat shown. Text: "Born after 28 weeks of gestation. Shows SIGNS OF LIFE after birth - breathing, heartbeat, movement". RIGHT panel RED header "DEADBORN (Unrespired)": illustration of fetus still inside uterus, already dead before birth process. Text: "Already dead in UTERUS before birth process begins. No signs of life at any point". Medical textbook infographic style, colored headers, anatomical illustrations, bold labels, clean white background.

Medical forensic infographic card. Title bar: "Q19 - POINT 2 & 3: VOLUME AND COLOUR OF LUNGS". Two side-by-side panels. LEFT panel TEAL header "LIVEBORN LUNGS": realistic illustration of large, voluminous lungs with mottled salmon-pink color, showing air-filled appearance. Arrow labels: "LARGE volume", "MOTTLED appearance", "SALMON PINK colour". RIGHT panel MAROON header "DEADBORN LUNGS": illustration of small, collapsed lungs with uniform bluish-red color. Arrow labels: "SMALL volume", "UNIFORM colour", "BLUISH RED colour". Bottom: color swatches showing salmon-pink vs bluish-red side by side. Medical textbook infographic style, anatomical lung illustrations, bold labels.

Medical forensic infographic card. Title bar: "Q19 - POINT 4 & 5: CONSISTENCY AND MARGINS OF LUNGS". Two side-by-side panels. LEFT panel BLUE header "LIVEBORN LUNGS": illustration of lung being gently squeezed showing soft spongy texture with air bubbles inside, rounded smooth margins at edges. Arrow labels: "SOFT and SPONGY", "ROUNDED margins", "Crepitates on palpation", "Air bubbles when cut and squeezed". RIGHT panel DARK RED header "DEADBORN LUNGS": illustration of lung with dense firm liver-like texture, sharp pointed margins at edges. Arrow labels: "DENSE and FIRM", "SHARP margins", "Liver-like consistency", "No crepitation". Medical textbook infographic style, anatomical lung cross-section illustrations, bold colored headers, clean white background.

Medical forensic infographic card. Title bar: "Q19 - POINT 6: LEVEL OF DIAPHRAGM". Two side-by-side panels. LEFT panel GREEN header "LIVEBORN": anatomical illustration of chest cavity cross-section showing expanded lungs pushing diaphragm DOWN to 6th-7th rib level. Ribs numbered 1 through 8, with a dotted line at rib 6-7 labeled "Diaphragm at 6th-7th RIB". Lungs shown large and expanded filling chest. RIGHT panel RED header "DEADBORN": same chest cavity with unexpanded lungs, diaphragm sitting HIGH at 4th-5th rib level. Dotted line at rib 4-5 labeled "Diaphragm at 4th-5th RIB". Lungs shown small and collapsed. Bold comparison arrow between the two panels. Medical textbook infographic style, anatomical rib-cage cross-section, numbered ribs, bold labels.