v0.1.1

v0.1.1 - Improved Buffer Management

This release updates PyImageCUDA Studio to use the improved buffer sizing system from PyImageCUDA 0.0.10, providing more flexible memory management and better buffer reuse.

Changes

Updated Buffer System

• Updated to PyImageCUDA 0.0.10 buffer capacity system
• Buffers now use pixel-based capacity instead of fixed dimensions
• Improved buffer reuse across different aspect ratios

Internal Improvements

• Simplified buffer management code in ensure_buffer() and resize_buffers()
• More robust dimension updates using Image.resize()
• Better handling of buffer capacity checks

Technical Details

The buffer management system now tracks total pixel capacity rather than individual width/height limits. This allows the same buffer to be reused for different aspect ratios as long as the total pixel count fits within capacity.

Example:

# Same buffer can handle different aspect ratios
buffer = Image(1920, 1080)  # 2,073,600 pixels capacity

buffer.resize(3840, 540)    # Landscape (same pixel count)
buffer.resize(2160, 960)    # Different aspect ratio
buffer.resize(1080, 1920)   # Portrait

Requirements

• PyImageCUDA >= 0.0.10

Migration

No changes required for existing projects. All .pics files remain fully compatible.

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