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djbsort adds AVX2 performance and support for more numeric types

A new djbsort release, a library for sorting numeric arrays, brings AVX2 performance improvements, support for six numeric types, and updated benchmarks.

According to the bookmark published on January 27, 2026, the djbsort release brings performance improvements with AVX2 and now accepts arrays of int32, uint32, float32, int64, uint64, and float64. The update also includes test improvements, simpler packaging, more documentation, and benchmarks comparing the library with several others.

This matters to engineers who evaluate libraries for sorting numeric arrays. Rota Nacional does not offer a sorting function and does not solve this engineering problem; the platform is an inference API compatible with OpenAI and Anthropic. If your team studies this material with AI, do not paste personal data, CPF, CNPJ, e-mail addresses, or credentials. Rota detects such data before the model runs and applies your organization's policy, but the care starts at input. To verify, consult the original project page indicated in the bookmark and compare the benchmark figures on your own hardware.

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