Ball Climbing

Ball Climbing is a 2D side-scrolling platformer where players control a ball character navigating vertically scrolling levels filled with platforms, obstacles, and challenges. The game emphasizes precision movement and timing as players guide the ball upward, avoiding hazards and reaching the summit of increasingly difficult stages.

To extract text from a PDF file, specifically focusing on annotations and their linked pages, follow these steps using Python with PyPDF2 and pdfminer libraries:

Solution Code

Explanation

1. PDF Processing:

   • Open the PDF file using PyPDF2.PdfReader.
   • Handle encryption by attempting to decrypt with an empty password.
   • Create a mapping of page references to their indices for quick lookup.

2. Annotation Extraction:

   • Iterate through each page and check for annotations (/Annots).
   • For each annotation, extract the text from the /Contents field. Decode byte strings to UTF-8 or Latin-1 if necessary.
   • Retrieve the destination (/Dest) which specifies the linked page and coordinates.

3. Linked Page Text Extraction:

   • Resolve the destination page reference to get its index.
   • Use pdfminer to extract the full text of the linked page by converting the page to a temporary in-memory PDF and processing it.

4. Output:

   • Store results as a list of dictionaries containing annotation text and linked page text.
   • Print each annotation’s text and a preview of the linked page text for verification.

Notes

• Efficiency: This approach processes each page and annotation sequentially, which may be slow for very large PDFs.
• Text Extraction: pdfminer is used for robust text extraction, but it may not perfectly preserve formatting.
• Error Handling: Basic decryption and decoding are included, but additional error handling may be needed for complex PDFs.
• Output Preview: The linked page text is truncated to the first 200 characters to avoid excessive output; adjust as needed.

This solution effectively captures both the annotation text and the content of the pages they link to, providing a comprehensive text extraction focused on annotations.