tnibert

import autograd.numpy as np  # Important: Use autograd's wrapped numpy
from autograd import grad
import matplotlib.pyplot as plt

# ==========================================
# 1. Dataset Preparation
# ==========================================
# Represent XOR Inputs as a Numpy array
X = np.array([
    [0,0],

tnibert

pub struct Sprite <'a> {
    x: i32,
    y: i32,
    velocity: i32,
    pub object: Object <'a>,
}

impl <'a> Sprite <'a> {
    pub fn new(x: i32, y: i32, velocity: i32, object: Object<'a>) -> Sprite<'a>{
        Self {

tnibert

# get all lines between two timestamps in a log
sed -n '/2012-08-20 11:34/,/2012-08-22 16:34/p' file

tnibert

certbot delete --cert-name example.com

tnibert

function seeAllEvt(myObj) {
  for(var key in myObj){
    if(key.search('on') === 0) {
      myObj.addEventListener(key.slice(2), function (e) {
        console.log(e.currentTarget + " " + e.type);
      });
    }
  }
}

tnibert

// hashmap example - for reference
let mut sample: HashMap<String, i32> = HashMap::new();

sample.insert("one".to_string(), 1);
sample.insert("two".to_string(), 2);
sample.insert("three".to_string(), 3);
sample.insert("four".to_string(), 4);
for (key, value) in sample.iter() {
    println!("{} - {}", key, value);
}

tnibert

from pip._internal import main
pkg = "numpy"                   # example
main(['install', pkg])

tnibert

#! /usr/bin/env python3

split_fields = lambda addr: [int(f) for f in addr.split(".")]

def check_subnet(prefix_addr: str, prefix_length: int, to_check: str):
    """
    Determine if the IPv4 address to_check is within the given subnet

    :param prefix_addr: address prefix as shown in CIDR notation
    :param prefix_length: the number of bits in the network section 

tnibert

#! /usr/bin/env python3

def reduce2(func, ls):
    if len(ls) == 1:
        return ls[0]
    return func(reduce2(func, ls[:-1]), ls[-1])


# test
testset = [1, 2, 3, 4, 5]

tnibert

#!/bin/bash
# identify all files larger that 1 GB
find / -xdev -type f -size +1G -exec ls -lah {} \;