LagScope Update - Major Performance & Paper API Optimization

This update focuses on massive performance improvements, specifically targeting high-player and low-latency server environments. We have deeply integrated modern Paper API methods and reworked our internal algorithms to significantly reduce Garbage Collection (GC) pressure and CPU overhead.

Performance Improvements

• Optimized Entity Clearing: Completely replaced the legacy world.getEntities() calls in LagClearer. The plugin now utilizes Paper's highly optimized world.getEntitiesByClasses(). Players and complex mobs are completely bypassed during clear scans, preventing TPS drops when clearing large worlds.
• Spatial-Hashing for Radius Clears: Radius-based entity clears now use world.getNearbyEntities(), leveraging the server's internal spatial hashing instead of iterating through the entire world's entity list.
• Fast-Exit Chunk Analysis: The LagAnalyzer now features a fast-exit mechanism. If a chunk contains fewer entities than the current Top-N threshold, the analyzer skips the deep iteration entirely, drastically lowering CPU usage (MSPT) during scanning cycles.
• Drastic GC Reduction: Refactored object creation inside the LagAnalyzer. By using static comparators and optimizing the PriorityQueue, we eliminated thousands of useless array allocations per second, significantly reducing Garbage Collection spikes.
• Native Server Metrics: The analyzer now hooks directly into the engine's internal metrics (Bukkit.getServer().getTPS() and getAverageTickTime()), completely removing the need for manual TPS calculation overhead.

Technical Changes

• Stronger focus on the Paper ecosystem for peak performance.
• Codebase cleanup and improved memory management across the analysis and control pipelines.

Note for Server Admins: This update is highly recommended for all servers, especially those dealing with high entity counts or struggling with micro-stutters during GC pauses.