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Summary of Changes

Hello @haochengxia, I'm Gemini Code Assist1! I'm currently reviewing this pull request and will post my feedback shortly. In the meantime, here's a summary to help you and other reviewers quickly get up to speed!

This pull request delivers a substantial update to the libCacheSim-python documentation, primarily within the README.md file. The changes aim to provide users with clearer, more detailed, and expanded guidance on installation, getting started with cache simulations, performing trace analysis, and leveraging the library's plugin system for custom cache policy development.

Highlights

  • Enhanced Documentation Structure: The README.md has been significantly restructured to provide a more comprehensive overview of libCacheSim-python. This includes a detailed introduction to the library's features, a new 'Prerequisites' section, and expanded installation guides.
  • Improved Installation Instructions: New and detailed installation instructions have been added, covering quick installation via pip, recommended installation using uv (a fast Python environment manager), and specific steps for installing advanced features like LRB, ThreeLCache, and GLCache eviction algorithms, including dependency installation and CMAKE_ARGS usage.
  • New Cache Simulation Example: A dedicated 'Cache Simulation' example has been introduced under the 'Quick Start' section. This example demonstrates the full workflow from loading traces from S3, initializing a cache (e.g., S3FIFO), and processing traces efficiently, including options for processing limited requests.
  • Refined Trace Analysis Example: The 'Trace Processing' section has been renamed to 'Trace Analysis' and its example updated. It now explicitly shows how to configure TraceReader and TraceAnalyzer with various AnalysisOption parameters, allowing users to customize the type of trace analysis performed.
  • Simplified Plugin System Example: The 'Custom Cache Policies' section has been renamed to 'Plugin System' and its example for implementing an LRU cache via Python hooks has been refactored. The new example is simpler, more complete, and includes a comparison of the plugin-based LRU's performance against a reference LRU implementation.
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Code Review

This pull request significantly enhances the README.md and documentation by adding more detailed installation instructions, feature lists, and code examples. The changes make the documentation much more user-friendly.

My review includes a few suggestions to improve the documentation further:

  • Fixing a critical issue in a Python code example that would prevent it from running.
  • Minor grammatical and wording improvements for better clarity.
  • A suggestion to re-introduce a helpful link to another code example.
  • Adding a note about the --no-cache-dir option to the uv command.

@haochengxia haochengxia deleted the hxia/docs branch August 4, 2025 06:49
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