Results for primitive_array

Token-Oriented Object Notation - A compact, human-readable format for LLM data with 30-60% fewer tokens than JSON

Utility-first Geode-array primitives for RustUse

Utility-first facade crate for RustUse math utilities

Samplers for arrow-rs for use with sample-test

This package currently provides one function that takes in an array containing tuples of two types; the function then returns two arrays, the first containing all the first elements of the tuples, and the second array containing the second elements of the tuples. This functionality is available in iterators through unzip, but unzip can only return collections which implement Extend; which primitive arrays do not. Therefore, unzip works fine for Vec or other dynamic types, but not for simple, beautiful arrays, with lengths known at compiletime. My implementation is hopefully quite efficient, as it just moves data around, without using too much costly abstractions like std::array::from_fn. This crate has 4 tests that I think cover basically everything; still it could be unsound..

Production-grade leak hunting at the CLI for JVM/Android hprof dumps: retained-size dominators, leak suspects, R8 mapping deobfuscation, content previews, bitmap mode, snapshot diff. LLM-friendly.

High-performance Rust library for moving structs to/from disk using Parquet format. Abstracts complex Arrow/Parquet usage while providing batch writing and parallel reading capabilities for maximum performance.

The helios-fhirpath-support crate serves as a bridge module that provides essential types and traits for integration between the FHIRPath evaluator, it's associated functions, and also the FHIR model code in the fhir module, and it's generated code that is created by fhir_macro.

Macro for for generating bitfields from structs and enum bitflags for defining packed binary schemas in low-level systems (e.g. embedded development or emulators)

Macro for generating flexible bitfields. Useful for low-level code (embedded or emulators).

Zero-copy columnar format with scientific arrays (Quaternions, Complex, Tensors, Spinors), SIMD acceleration (35x), and native compression (125x RLE, 16x BitPack, 4x Delta) - Zero external dependencies

Zero-copy columnar format with scientific arrays (Quaternions, Complex, Tensors, Spinors), SIMD acceleration (35x), and native compression (125x RLE, 16x BitPack, 4x Delta) - Zero external dependencies