| /** File: rpn-calculator.cpp | |
| * Author: Caio Rodrigues - caiorss <DOT> rodrigues <AT> gmail <DOT> com | |
| * Brief: Reverse Polish Notation Calculator | |
| * Description: A simple reverse polish notation command line calculator | |
| * implemented in modern C++. | |
| * Site: https://caiorss.github.io/C-Cpp-Notes/sample-modern-cpp-programs.htm | |
| ***************************************************************************/ | |
| #include <iostream> | |
| #include <cmath> | |
| #include <map> |
You might want to read this to get an introduction to armel vs armhf.
If the below is too much, you can try Ubuntu-ARMv7-Qemu but note it contains non-free blobs.
First, cross-compile user programs with GCC-ARM toolchain. Then install qemu-arm-static so that you can run ARM executables directly on linux
If there's no qemu-arm-static in the package list, install qemu-user-static instead
Scalable Vector Extensions (SVE) is ARM’s latest SIMD extension to their instruction set, which was announced back in 2016. A follow-up SVE2 extension was announced in 2019, designed to incorporate all functionality from ARM’s current primary SIMD extension, NEON (aka ASIMD).
Despite being announced 5 years ago, there is currently no generally available CPU which supports any form of SVE (which excludes the [Fugaku supercomputer](https://www.fujitsu.com/global/about/innovation/
| // sh.mts: javascript shorthand | |
| // #region array tools | |
| /** id function (returns first argument) */ | |
| export const id=<T,>(x: T): T=>x | |
| /** create an array filled with n copies of x */ | |
| export const af=<T,>(n: number, x: T): T[]=>Array(n).fill(x) // TODO: make this 'afl' or 'fil' (aa?) | |
| /** loop i from 0..n, calling f(i) */ | |
| export const ii=(n: number, f: (i: number)=>void)=>{for(let i=0;i<n;i++)f(i)} | |
| /** map f over [0..n] */ |
