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fun calc() {
    val ans = mutableListOf<Double>()
    do {
        val random8 = mutableListOf<Int>()
        for (i in 1..8) {
            random8.add(Random.nextInt(0, 9 + 1))
        }

        fun charToRandomNumber(ch: Char) = random8[ch.toByte() - 65]
        fun transformDigit(digit: Int, ch: Char) = 10.0.pow(digit - 1) * charToRandomNumber(ch)

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Simple automated GIT Deployment using GIT Hooks

Here are the simple steps needed to create a deployment from your local GIT repository to a server based on this in-depth tutorial.

How it works

You are developing in a working-copy on your local machine, lets say on the master branch. Most of the time, people would push code to a remote server like github.com or gitlab.com and pull or export it to a production server. Or you use a service like deepl.io to act upon a Web-Hook that's triggered that service.

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# coding: utf-8

# FILE:
# -----
# /mnt/Vancouver/apps/Webcam-Face-Detect/webcam_cv3_v2_fps_v3.py

# FUNCTIONALITY:
# --------------
#  * outputs webcam to screen and finds faces, eyes
#  * writes webcam video to *.avi file (MJPG codec) via OpenCV/FourCC

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apiVersion: batch/v1beta1
kind: CronJob
metadata:
  annotations:
  name: ecr-cred-helper
  namespace: default
spec:
  concurrencyPolicy: Allow
  failedJobsHistoryLimit: 1
  jobTemplate:

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from google.colab import auth
auth.authenticate_user()  # must authenticate

'''list all ids of files directly under folder folder_id'''
def folder_list(folder_id):
  from googleapiclient.discovery import build
  gdrive = build('drive', 'v3').files()
  res = gdrive.list(q="'%s' in parents" % folder_id).execute()
  return [f['id'] for f in res['files']]

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# import config.
# You can change the default config with `make cnf="config_special.env" build`
cnf ?= config.env
include $(cnf)
export $(shell sed 's/=.*//' $(cnf))

# import deploy config
# You can change the default deploy config with `make cnf="deploy_special.env" release`
dpl ?= deploy.env
include $(dpl)

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Install NVM, NodeJS, Yarn via Homebrew

Prerequisites

• Homebrew should be installed (Command line tools for Xcode are included).

Getting start

Install NVM and NodeJS

1. Install nvm via Homebrew

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use myuserdb
db.createUser(
   {
     user: "myuser",
     pwd: "mypassword",
     roles: [ "dbOwner" ]
   }
)

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pipeline:
  restore-cache:
    image: drillster/drone-volume-cache
    restore: true
    mount:
      - ./.yarn-cache
      - ./node_modules
    volumes:
      - /tmp/cache:/cache

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#!/bin/bash
## This gist contains step by step instructions to install cuda v9.0 and cudnn 7.2 in ubuntu 18.04

### steps ####
# verify the system has a cuda-capable gpu
# download and install the nvidia cuda toolkit and cudnn
# setup environmental variables
# verify the installation
###