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python sublist3r.py -n -d domain.com | tee domain.com \
  && awk '{print "<li><a href=\"https://"$1"\">"$1"</a></li>" }' domain.com > links.html
  
# gitleaks
curl https://api.github.com/orgs/line/repos?per_page=100 | jq ".[].html_url" | tr -d \" > repos.txt

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# OPS
## Networking troubleshooting
https://www.redhat.com/sysadmin/beginners-guide-network-troubleshooting-linux

## Slow server
https://www.redhat.com/sysadmin/troubleshooting-slow-servers

## Load
http://www.brendangregg.com/blog/2017-08-08/linux-load-averages.html
https://www.tldp.org/LDP/intro-linux/html/sect_04_03.html#sect_04_03_04

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package main

import (
  "fmt"
)

func bubbleSort(s[]int) []int {
  A := make([]int, len(s))
  copy(A, s)

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FROM ubuntu:bionic

RUN apt-get update \
  && apt-get install -y \
  bind9 \
  bind9utils \
  bind9-doc

# Enable IPv4
RUN sed -i 's/OPTIONS=.*/OPTIONS="-4 -u bind"/' /etc/default/bind9

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$TTL    604800
@       IN      SOA     ns1.nagoya-foundation.com. root.nagoya-foundation.com. (
                  3       ; Serial
             604800     ; Refresh
              86400     ; Retry
            2419200     ; Expire
             604800 )   ; Negative Cache TTL
;
; name servers - NS records
     IN      NS      ns1.nagoya-foundation.com.

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zone "nagoya-foundation.com" {
    type master;
    file "/etc/bind/zones/db.nagoya-foundation.com";
};

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options {
    directory "/var/cache/bind";

    recursion yes;
    listen-on { any; };

    forwarders {
            8.8.8.8;
            8.8.4.4;
    };

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predicted: [1 1 0 0 1]

true: [1 0 0 1 1]

confusion matrix:
[[1 1]
 [1 2]]

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digraph Tree {
node [shape=box] ;
0 [label="H <= 0.5\nentropy = 0.996\nsamples = 13\nvalue = [6, 7]\nclass = 1"] ;
1 [label="Idade <= 28.5\nentropy = 0.971\nsamples = 10\nvalue = [6, 4]\nclass = 0"] ;
0 -> 1 [labeldistance=2.5, labelangle=45, headlabel="True"] ;
2 [label="B <= 0.5\nentropy = 0.918\nsamples = 6\nvalue = [2, 4]\nclass = 1"] ;
1 -> 2 ;
3 [label="Idade <= 26.0\nentropy = 0.918\nsamples = 3\nvalue = [2, 1]\nclass = 0"] ;
2 -> 3 ;
4 [label="entropy = 0.0\nsamples = 2\nvalue = [2, 0]\nclass = 0"] ;

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k = 1
predicted: [1 1 0 0 0]
true: [1 0 0 1 1]
confusion matrix:
[[1 1]
 [2 1]]

 k = 2
predicted: [1 1 0 0 0]
true: [1 0 0 1 1]