domix

#!/bin/bash

curl -LO https://storage.googleapis.com/kubernetes-release/release/$(curl -s https://storage.googleapis.com/kubernetes-release/release/stable.txt)/bin/linux/amd64/kubectl && chmod +x ./kubectl && sudo mv ./kubectl /usr/local/bin/kubectl
curl -Lo minikube https://storage.googleapis.com/minikube/releases/v0.30.0/minikube-linux-amd64 && chmod +x minikube && sudo cp minikube /usr/local/bin/ && rm minikube

echo "Ahora ya puedes ejecutar:"
echo "minikube start --vm-driver none"

domix

Keybase proof

I hereby claim:

• I am domix on github.
• I am domix (https://keybase.io/domix) on keybase.
• I have a public key ASAwfx_i4X1QV_pM7SMhVSpL1kTWdZzW_OeYsM_g5gHUjAo

To claim this, I am signing this object:

domix

-> # uprecords -m 70
     #               Uptime | System                                     Boot up
----------------------------+---------------------------------------------------
     1   281 days, 23:42:20 | Linux 4.15.13-x86_64-lin  Wed May 23 12:05:31 2018
     2   148 days, 08:00:51 | Linux 4.9.15-x86_64-lino  Mon May  8 13:01:42 2017
     3   130 days, 16:01:33 | Linux 4.0.4-x86_64-linod  Fri Jun 12 08:07:45 2015
     4   112 days, 14:34:59 | Linux 3.9.3-x86_64-linod  Mon Aug 26 21:10:47 2013
     5   111 days, 04:15:00 | Linux 4.5.0-x86_64-linod  Fri Apr  1 16:45:23 2016
     6   110 days, 09:30:53 | Linux 4.14.12-x86_64-lin  Wed Jan 17 01:14:29 2018
     7   107 days, 21:50:52 | Linux 4.8.3-x86_64-linod  Sat Nov  5 12:19:15 2016

domix

1. Run Software Update

Make sure everything is up to date.

2. Install Xcode and its "Command Line Tools"

1. Go to App Store and install Xcode.
2. Open and accept the terms

domix

package wb.java17;

import java.math.BigInteger;
import java.util.Map;
import java.util.concurrent.ConcurrentHashMap;

public class StaticsInLocalClassesExample {

    public static void main(String[] args) {
        System.out.println(factorial(120));

domix

"""
The most atomic way to train and run inference for a GPT in pure, dependency-free Python.
This file is the complete algorithm.
Everything else is just efficiency.

@karpathy
"""

import os       # os.path.exists
import math     # math.log, math.exp