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object Solution {

  def solution(S: String): Int = {
    val max = S.length / 2

    @scala.annotation.tailrec
    def symmetryPoint(i: Int): Int = {
      val left = S(i)
      val right = S(S.length - 1 - i)

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object Solution {
    def solution(N: Int): Int = {
      if (N < 1) sys.error(s"Invalid input: $N")

      @scala.annotation.tailrec
      def foo(i: Int, total: Int): (Int, Int) = {
        if ((i * i) >= N) (total, i)
        else if (N % i == 0) foo(i + 1, total + 2)
        else foo(i + 1, total)
      }

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This gist will contain all the exercises from the book

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Overview

Here you will find instructions for importing the datasets for M001: MongoDB Basics into a locally running MongoDB deployment.

Datasets

All datasets are provided in Amazon S3 in a single zip file (243 MB zipped; 1.5 GB unzipped). The files were created with the mongodump command. They may be imported into your MongoDB deployment using mongorestore. Note that these datasets include the indexes necessary to support example queries and labs used in M001. The datasets included are as follows.

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#!/bin/bash

CONSOLE_RED="\033[2;31m"
CONSOLE_GREEN="\033[2;32m"
CONSOLE_CLEAR="\033[0m"

JENKINS_SERVER=http://my_jenkins_server
JOB=$1
JOB_QUERY=/job/${JOB}