{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 1,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "name": "stdout",
     "output_type": "stream",
     "text": [
      "Populating the interactive namespace from numpy and matplotlib\n"
     ]
    }
   ],
   "source": [
    "%pylab inline\n",
    "import pandas as pd\n",
    "\n",
    "import numpy as np\n",
    "from __future__ import division\n",
    "import itertools\n",
    "\n",
    "import matplotlib.pyplot as plt\n",
    "import seaborn as sns\n",
    "\n",
    "import ctypes\n",
    "\n",
    "import logging\n",
    "logger = logging.getLogger()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 面试题3：二维数组中的查找\n",
    "\n",
    "**题目**：    \n",
    "在一个二维数组中，每一行都按照从左到右递增的顺序排序，每一列都按照从上到下递增的顺序排序。   \n",
    "请完成一个函数，输入这样的一个二维数组和一个整数，判断数组中是否含有该整数。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 3,
   "metadata": {
    "collapsed": false
   },
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 3,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "exam_lib = ctypes.cdll.LoadLibrary(\"test03.so\")\n",
    "\n",
    "exam_lib.main()"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {
    "collapsed": true
   },
   "source": [
    "### 面试题4： 替换空格\n",
    "\n",
    "**题目**：   \n",
    "请实现一个函数，把字符串中的每个空格替换成\"%20\"，例如“We are happy.”，则输出“We%20are%20happy.”。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 面试题5 ：从尾到头打印链表\n",
    "\n",
    "**题目**：   \n",
    "输入个链表的头结点，从尾到头反过来打印出每个结点的值。"
   ]
  },
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "### 面试题6 ：重建二叉树\n",
    "\n",
    "**题目**：    \n",
    "输入某二叉树的前序遍历和中序遍历的结果，请重建出该二叉树。假设输入的前序遍历和中序遍历的结果中都不含重复的数字。例如：前序遍历序列｛ 1, 2, 4, 7, 3, 5, 6, 8｝和中序遍历序列｛4, 7, 2, 1, 5, 3, 8，6}，重建出下图所示的二叉树并输出它的头结点。"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {
    "collapsed": true
   },
   "outputs": [],
   "source": []
  }
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