TypedDict and dataclasses can be used together to create more structured and type-safe data structures in Python. This combination allows you to define specific fields with types and also allows for easy instantiation and manipulation of those fields using dataclass features.
How do I avoid rehashing overhead with std::set in multithreaded code?
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How do I erase elements while iterating with std::set for embedded targets?
How do I provide stable iteration order with std::unordered_map for large datasets?
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How do I erase elements while iterating with std::unordered_map in multithreaded code?
How do I provide stable iteration order with std::map for embedded targets?
How do I provide stable iteration order with std::map in multithreaded code?
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How do I merge two containers efficiently with std::map for embedded targets?