Gonzih

const std = @import("std");
const testing = std.testing;
const assert = std.debug.assert;

pub const Runner = struct {
    const Self = @This();
    const VTable = struct { add: *const fn (*anyopaque, *usize) void };

    vtable: *const VTable,
    ptr: *anyopaque,

Gonzih

sudo qemu-system-x86_64 \
  -kernel arch/x86_64/boot/bzImage \
  -initrd ramdisk.img \
  -display none \
  -serial stdio \
  -append "root=/dev/vda console=ttyS0 nokaslr" \
  -drive format=raw,file=/home/gnzh/mydev/linsicles/buildroot/output/images/rootfs.ext4,if=virtio

Gonzih

extern crate libspartan;
extern crate merlin;
use libspartan::{Instance, SNARKGens, SNARK};
use merlin::Transcript;
use std::io::prelude::*;

// read file into Transcript
fn file_transcript(filename: &str) -> Transcript {
    let mut transcript = Transcript::new(b"spartan");
    let mut file = std::fs::File::open(filename).unwrap();

Gonzih

let
   pkgs = import <nixpkgs> {};
in pkgs.clangStdenv.mkDerivation rec {
  name = "unreal-engine-build";

  # UE4_LINUX_USE_LIBCXX = "0";
  UE_USE_SYSTEM_MONO = "1";
  # SDL_VIDEO_X11_VISUALID = "";

  common = with pkgs; [

Gonzih

type Links = Vec<String>;
type Proxies = Vec<String>;

#[derive(Clone, Debug)]
struct Opts {
    links: Option<Links>,
    proxies: Option<Proxies>,
}

impl Opts {

Gonzih

{ config, pkgs, ... }:

let
  secrets = import /opt/nix/secrets.nix;
  externalInterface = "enp2s0";
  internalInterface = "wg0";
  externalPort = 51820;
  externalNetMask = "10.200.200.1/24";
in
{

Gonzih

Keybase proof

I hereby claim:

• I am gonzih on github.
• I am gonzih (https://keybase.io/gonzih) on keybase.
• I have a public key ASDuSCBmos0345fAhkjGxVRvU8p40Ikp8RGA5wu5UxdTLQo

To claim this, I am signing this object:

Gonzih

GO workshop - CLI for news.ycombinator.com

Configuring your editor

• IntelliJ http://go-ide.com/
• Better IntelliJ https://www.jetbrains.com/go/
• Atom https://atom.io/packages/go-plus
• Better Atom https://code.visualstudio.com/
• Emacs https://www.emacswiki.org/emacs/GoLangMode
• Better Emacs https://github.com/fatih/vim-go

Gonzih

*filter
:INPUT DROP [0:0]
:FORWARD DROP [0:0]
:OUTPUT DROP [0:10]
-A FORWARD -i tun+ -j ACCEPT
-A FORWARD -j DROP

-A INPUT -m conntrack --ctstate RELATED,ESTABLISHED -j ACCEPT
-A INPUT -i lo -j ACCEPT
-A INPUT -i tun+ -j ACCEPT

Gonzih

pkgname=cudnn9
pkgver=7
pkgrel=4
pkgdesc="NVIDIA CUDA Deep Neural Network library (version 9)"
arch=('x86_64')
url="https://developer.nvidia.com/cuDNN"
license=('proprietary')
depends=('cuda-sdk')
source=("http://files.fast.ai/files/cudnn-9.1-linux-x64-v7.tgz")
sha512sums=('7eadb64a3d5e49aec2761e6f7dc0295c1d356910b114eed450c47081fc81b6e3b7748f3a4153f6a9d957691e3689cd52823bfa12816b1950dfc8794d6f332749')