AlexanderProd

import cv2
import numpy as np
import time

# Load the input image
input_image = cv2.imread('example.jpg')

# Define the size of the chunks
chunk_size = (200, 200)

AlexanderProd

import { useReducer, useRef, useEffect, useCallback } from 'react';

function reducer(state, action) {
  switch (action.type) {
    case 'PENDING':
      return { ...state, status: 'pending' };
    case 'SUCCESS':
      return { ...state, status: 'success', value: action.value };
    case 'ERROR':
      return { ...state, status: 'error', error: action.error };

AlexanderProd

import { useState, useEffect } from 'react'

const dict = {
  "af": "Goeie dag",
  "sq": "Tungjatjeta",
  "ar": "Ahlan bik",
  "zh": "Nín hao",
  "hr": "Zdravo",
  "cs": "Nazdar",
  "da": "Hallo",

AlexanderProd

# imports
from instapy import InstaPy
from instapy.util import smart_run
import json
import time
import schedule

# login credentials
insta_username = '*********'
insta_password = '*********'

AlexanderProd

#!/usr/bin/env bash
#
# Backup selected directories to a Backblaze B2 bucket
#
# If youre encountering errors running the script you probably need Bash 4.0 
#
# You need to login to your b2 account once with b2 authorize-account [<accountId>] [<applicationKey>] before running it.
#
# Example daily cron running script.sh in home directory:
# @daily /usr/local/bin/bash ~/script.sh