Give me detailed notes for semester preparation every single information is important and also explain the pages which show diagrammatic presentation don't leave any information cover page by page give detailed notes which covers all the information
cd /home/daytona/workspace/attachments/e1fea79e-0077-4793-91e9-2803a7c82e0b && python3 -c " import pdfplumber with pdfplumber.open('Chapter 3 Inflammation, Tissue Repair and Wound Healing (1).pdf') as pdf: print(f'Total pages: {len(pdf.pages)}') for i, page in enumerate(pdf.pages): print(f'\n========== PAGE {i+1} ==========') text = page.extract_text() if text: print(text) else: print('[No extractable text - likely image/diagram page]') tables = page.extract_tables() if tables: print(f'--- TABLES ON PAGE {i+1} ---') for j, table in enumerate(tables): print(f'Table {j+1}:') for row in table: print(row) " 2>&1 | head -800
cd /home/daytona/workspace/attachments/e1fea79e-0077-4793-91e9-2803a7c82e0b && python3 -c " from pypdf import PdfWriter, PdfReader import os reader = PdfReader('Chapter 3 Inflammation, Tissue Repair and Wound Healing (1).pdf') os.makedirs('/home/daytona/workspace/inflammation_pages', exist_ok=True) # Extract pages 19-62 (index 18-61) as individual images using pdf2image from pdf2image import convert_from_path pages = convert_from_path('Chapter 3 Inflammation, Tissue Repair and Wound Healing (1).pdf', first_page=19, last_page=62, dpi=150) for i, page in enumerate(pages): page_num = 19 + i page.save(f'/home/daytona/workspace/inflammation_pages/page_{page_num:02d}.jpg', 'JPEG', quality=80) print(f'Saved page {page_num}') print('Done') " 2>&1
ls /home/daytona/workspace/inflammation_pages/ | head -50
python3 -c " from PIL import Image import os base = '/home/daytona/workspace/inflammation_pages' out = '/home/daytona/workspace/inflammation_pages/composites' os.makedirs(out, exist_ok=True) # Group pages: 5 batches of ~9 pages each batches = [ list(range(19, 28)), # pages 19-27 list(range(28, 37)), # pages 28-36 list(range(37, 46)), # pages 37-45 list(range(46, 55)), # pages 46-54 list(range(55, 63)), # pages 55-62 ] for b_idx, batch in enumerate(batches): images = [] for p in batch: path = f'{base}/page_{p:02d}.jpg' if os.path.exists(path): img = Image.open(path) # Resize to width 600 keeping aspect w, h = img.size new_h = int(h * 600 / w) img = img.resize((600, new_h)) images.append(img) if not images: continue total_height = sum(i.size[1] for i in images) composite = Image.new('RGB', (600, total_height), (255,255,255)) y = 0 for img in images: composite.paste(img, (0, y)) y += img.size[1] out_path = f'{out}/batch_{b_idx+1}_pages_{batch[0]}_to_{batch[-1]}.jpg' composite.save(out_path, 'JPEG', quality=70) print(f'Saved {out_path}, size {composite.size}, file size {os.path.getsize(out_path)//1024}KB') "
cd /home/daytona/workspace/inflammation_pages/composites && python3 -m http.server 8765 & sleep 2 && echo "Server started" && curl -s -o /dev/null -w "%{http_code}" http://localhost:8765/batch_1_pages_19_to_27.jpg
python3 -m http.server 8765 --directory /home/daytona/workspace/inflammation_pages/composites > /tmp/server.log 2>&1 & echo "PID: $!" sleep 3 curl -s -I http://localhost:8765/batch_1_pages_19_to_27.jpg | head -5
Give me detailed explanation on eCh