aprender-compute 0.32.0

High-performance SIMD compute library with GPU support, LLM inference engine, and GGUF model loading (was: trueno)
Documentation 
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#![allow(clippy::disallowed_methods, clippy::float_cmp)]
//! Falsification Tests (TRUENO-SPEC-012)
//!
//! Implementation of the 100 falsifiable QA claims from the simulation testing specification.
//! Each test is designed to be falsifiable per Popper's falsificationism principle.
//!
//! Section A: Backend Selection (Claims 1-15)
//! Section B: Determinism (Claims 16-30)
//! Section C: SIMD Operations (Claims 31-50)
//! Section D: PTX Kernels (Claims 51-65)
//! Section E: WGPU Shaders (Claims 66-80)
//! Section F: Visual Regression (Claims 81-90)
//! Section G: Stress Testing (Claims 91-100)
//!
//! Tests are named with their claim ID for traceability.

mod section_a;
mod section_b;
mod section_c;
mod section_d;
mod section_e;
mod section_fg;