reduce beast ranking storage updates

[Await-0x]

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[gemini-code-assist]

Summary of Changes

Hello @Await-0x, 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 introduces a significant optimization to the beast ranking system by refactoring how beast ranks are managed. The core change involves moving from a stored rank model to a dynamically calculated one, thereby removing a dedicated storage map. This enhancement aims to reduce the contract's storage footprint and minimize write operations, leading to improved efficiency and potentially lower transaction costs.

Highlights

• Storage Optimization: The beast_token_ranks storage map, which previously stored the current rank for each beast token, has been entirely removed from the contract's state.
• Dynamic Rank Calculation: Instead of storing ranks, the system now dynamically calculates a beast's rank on demand using a binary search algorithm within the get_beast_rank function. This function also includes logic to correctly handle multiple beasts with identical power and health values.
• Reduced Write Operations: By eliminating the beast_token_ranks map, the contract no longer performs explicit storage write operations to update a beast's rank whenever it is added or its position changes within the ranking, leading to more efficient resource usage.

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[gemini-code-assist]

Code Review

This pull request aims to reduce storage updates by removing the beast_token_ranks storage map. Instead of storing each beast's rank, the rank is now computed on-demand within the get_beast_rank function. This is a good optimization for reducing on-chain transaction costs, trading storage writes for computation on reads.

The changes are implemented consistently across the contract. The logic for on-demand rank calculation in get_beast_rank appears correct. However, I've pointed out a potential performance concern with the linear scan used to resolve ranks among beasts with identical stats. If a very large number of identical beasts is anticipated, this could lead to slow responses for tokenURI calls.

[gemini-code-assist]

This while loop performs a linear scan backwards to find the correct rank for a beast among others with identical power and health. While this logic is correct, it could lead to performance issues if a large number of beasts with the same stats are minted for a single species. For instance, if thousands of identical beasts exist, calling get_beast_rank for one of the first-minted ones would result in a loop with thousands of iterations. This could lead to timeouts for off-chain services calling this view function.

Given that this is a view function, the gas cost is not a concern for on-chain execution, but the performance degradation could be significant for clients. Consider documenting this trade-off (reduced storage writes for slower rank lookups in case of many duplicates).