digitalmars.D.learn - Is it possible to generate a pool of random D or D inline assembler
- Enjoys Math (12/12) Jul 18 2017 Without them crashing the app running them? Say by wrapping with
- Adam D. Ruppe (2/4) Jul 18 2017 Run them in a separate process, so it can die independently.
- Sebastien Alaiwan (9/12) Jul 18 2017 and, most probably a timeout, as you're certainly going to run
- WhatMeForget (2/4) Jul 19 2017 I'm genuinely curious. What is a function predictor used for?
Without them crashing the app running them? Say by wrapping with try / catch? You can assume that I've limited the opcode addresses to the program and/or the data section which I'll try to put right next to the code. Reason is so I don't have to make my own VM. I want to mutate computable functions in a genetic-algorithm style, so in order to include the full space of computable functions I need a full programming language, or a VM that includes conditional jump instructions. The purpose of it is to make a real-time, short-lived function predictor.
Jul 18 2017
On Tuesday, 18 July 2017 at 17:35:17 UTC, Enjoys Math wrote:Without them crashing the app running them? Say by wrapping with try / catch?Run them in a separate process, so it can die independently.
Jul 18 2017
On Tuesday, 18 July 2017 at 17:35:17 UTC, Enjoys Math wrote:Without them crashing the app running them? Say by wrapping with try / catch?and, most probably a timeout, as you're certainly going to run into infinite loops.Reason is so I don't have to make my own VM.Why not reuse an existing one? Some of them are very simple: https://github.com/munificent/wren It will be a lot easier than trying to generate random *compilable* D programs ; and will avoid requiring a compilation step in your mutation loop (I know the D compiler is fast, but still :-) ).
Jul 18 2017
On Tuesday, 18 July 2017 at 17:35:17 UTC, Enjoys Math wrote:The purpose of it is to make a real-time, short-lived function predictor.I'm genuinely curious. What is a function predictor used for?
Jul 19 2017