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Carl Kadie - 9 Rules for Creating (...) Data Structures - Rust Linz
Create effective data structures in Rust by following these 9 rules, including prioritizing performance, testing, and user experience, to write efficient and reusable code.
- Create data structures that fit into standard libraries and avoid reinventing the wheel
- Consider the performance of your data structure and test its speed
- Use profiling tools like Flame Graph to identify slow functions
- Create iterators for your data structure and implement traits like Clone and Iterate
- Consider the user’s experience and design constructors that make it easy to use your data structure
- Use set operations like union, intersection, and difference to manipulate your data
- Use a tree-based data structure to improve performance
- Create a data structure that guarantees properties like sorted and disjoint elements
- Test your data structure thoroughly and provide examples in your documentation
- Consider using a tool like Criterion for benchmarking and profiling
- Don’t fight the compiler and follow the Rust rules
- Plagiarize from standard libraries to avoid mistakes and improve performance
- Provide good documentation and consider using a tool like Clippy for code review
- Consider the need for error handling and define what constitutes a valid input
- Design your data structure with iterators and traits in mind
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Consider the use of symbols like | for set union and implement the corresponding method
- Follow the nine rules of good application program interface design (refer to the article for details)