AlbertVeli

# Created by ChatGPT 4.0o, untested
SRC_DIR := .
BUILD_DIR := public_html
DEST_DIR := /path/to/production
SERVER := user@production-server.com

MD_FILES := $(wildcard $(SRC_DIR)/*.md)
HTML_FILES := $(MD_FILES:$(SRC_DIR)/%.md=$(BUILD_DIR)/%.html)

# Rule to convert markdown to HTML

AlbertVeli

SRC_DIR := .
# TODO: Change DEST_DIR and SERVER to match your site
DEST_DIR := /var/www/production
SERVER := user@production-server.com

HTML_FILES := $(wildcard $(SRC_DIR)/*.html)
PHP_FILES := $(wildcard $(SRC_DIR)/*.php)

FILES := $(HTML_FILES) $(PHP_FILES)

AlbertVeli

Vegetable and Stew Meat Stew

Ingredients:

• 500 g stew meat (beef, chicken, or vegetarian alternatives such as tofu or Quorn)
• 2 tbsp olive oil
• 1 onion, chopped
• 2 cloves garlic, minced
• 2 carrots, sliced
• 2 celery stalks, sliced
• 1 red bell pepper, diced

AlbertVeli

# (män, kvinnor), 5-årsintervaller, källa:
# https://www.scb.se/hitta-statistik/sverige-i-siffror/manniskorna-i-sverige/befolkningspyramid-for-sverige/
a = [(296183, 280184), (319820, 301335), (325003, 306568), (310539, 292308), (310354, 275136), (342974, 323678), (400939, 379866), (357035, 337476), (331475, 316375), (332100, 320776), (334354, 326130), (344012, 334707), (288783, 286309), (268962, 273778), (255190, 269193), (238376, 259291), (140775, 167556), (69776, 102177), (25990, 52397), (5259, 15730), (425, 2262)]


totalt = sum(map(sum, a))
# 6 första intervallerna är 0-4, 5-9, 10-14, 15-19, 20-24, 25-29
under_tretti = sum(map(sum, a[:6]))

print(100 * under_tretti / totalt)

AlbertVeli

# To make a long story short

# Install apt source
curl -fsSL https://apt.repos.intel.com/intel-gpg-keys/GPG-PUB-KEY-INTEL-SW-PRODUCTS.PUB | sudo gpg --dearmor --output /usr/share/keyrings/intel-sw-products.gpg
echo "deb [signed-by=/usr/share/keyrings/intel-sw-products.gpg] https://apt.repos.intel.com/oneapi all main" | sudo tee /etc/apt/sources.list.d/intel-oneapi.list
apt update

# Install oneapi
apt install intel-oneapi-runtime-opencl intel-basekit clinfo opencl-headers

AlbertVeli

import numpy as np

def fib(n):
    """Fibonacci using matrix exponentiation"""
    m = np.array([[1, 1], [1, 0]])

    pow_m = np.linalg.matrix_power(m, n)

    return pow_m[0, 1]

AlbertVeli

123456
123456789
qwerty
password
12345678
111111
qwerty123
1q2w3e
1234567
abc123

AlbertVeli

#!/usr/bin/env python

import random

things = [ 'chips', 'husdjur', 'demoner', 'jesus', 'popcorn', 'bullar', 'saft', 'ärtor', 'pengar', 'godis', 'kaffe', 'te', 'kebab', 'pizza', 'paket', 'mamma', 'tandkräm', 'gröt', 'AK47', 'proteinshake', 'ägg', 'pannkakor', 'fiskbullar', 'köttbullar', 'spaghetti', 'nudlar', 'flingor', 'apelsinjuice', 'ostmackor', 'havregryn', 'strumpor', 'byxor', 'solrosfrön', 'senap', 'ketchup', 'små rymdgubbar', 'tomtenissar', 'ostbågar', 'rostad majs', 'lillasyster', 'citronbitare', 'fiskpinnar', 'knäckebröd', 'julmust' ]

places = [ 'på spisen', 'i ugnen', 'i torkskåpet', 'under sängen', 'bakom soffan', 'på dagis', 'hos rektorn', 'i himlen', 'i hallen', 'i kyrkan', 'i fotöljen', 'i gondolen', 'i Sherwoodskogen', 'i kaffekoppen', 'i blodomloppet', 'i magen', 'i flaskan', 'i badrumsskåpet', 'i toaletten', 'på nätet', 'på toasitsen', 'på golvet', 'på vinden', 'på taket', 'på stolen', 'på hatthyllan', 'på varmvattenpumpen', 'på bänken', 'på båten', 'på steam', 'på ICA', 'på netflix', 'på s

AlbertVeli

#!/usr/bin/env python3

import sys

# Return list of [(min, max), char, password]
def read_input(fname):
    r = []
    for line in open(fname).read().splitlines():
        a = line.split()
        a[0] = tuple(map(int, a[0].split('-')))

AlbertVeli

# Create xkcd hash
    echo -n "CorrectHorseBatteryStaple" | md5sum | awk '{ print $1 }' > md5.hash
    cat md5.hash
    f6f9b174745fa4651f750c36957d674c

# Get 20k wordlist (containing all 4 words)
    wget https://raw.githubusercontent.com/first20hours/google-10000-english/master/20k.txt

# Pick 2k top words to speed up attack:
    head -2000 20k.txt > 2k.txt