Hakozuna v3.2 Released: Bringing Optimized Memory Allocation to M1 Mac

I've added the main text to chatgpt5.4 ↓ I am pleased to announce the release of Hakozuna v3.2. While my previous update focused on Windows, this release marks a significant milestone: Full support for M1 Mac. GitHub Release:https://github.com/hakorune/hakozuna Zenodo Record: 19120414 DOI: 10.5281/zenodo.19120414 What is Hakozuna? Hakozuna is a memory allocator designed for small objects, built upon the Box Theory framework. It is currently split into two specialized lineages: hz3: Optimized for local-heavy / low-RSS workloads. hz4: Optimized for remote-heavy / high-thread environments. What’s New in the M1 Mac Update The primary goal of this update was to establish a seamless workflow on M1 Mac—encompassing development, observation, and running benchmarks for academic papers. Key Improvements: Refined Mac Entrypoints: All Mac-specific logic is now consolidated in the mac/ directory. Pipeline Separation: Decoupled the Build Lane and Observe Lane for better modularity. Streamlined Paper