队列和栈/733_图像渲染.ipynb

{
 "cells": [
  {
   "cell_type": "markdown",
   "metadata": {},
   "source": [
    "## 图像渲染[733](https://leetcode-cn.com/problems/flood-fill/)\n",
    "\n",
    "解题思路：深度优先搜索算法（DFS）"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 9,
   "metadata": {},
   "outputs": [],
   "source": [
    "class Solution(object):\n",
    "    def floodFill(self, image, sr, sc, newColor):\n",
    "        \"\"\"\n",
    "        :type image: List[List[int]]\n",
    "        :type sr: int\n",
    "        :type sc: int\n",
    "        :type newColor: int\n",
    "        :rtype: List[List[int]]\n",
    "        \"\"\"\n",
    "        SR, SC = len(image), len(image[0])\n",
    "        color = image[sr][sc]\n",
    "        # if color == newColor: return image\n",
    "        def dfs(r, c):\n",
    "            if image[r][c] == color:\n",
    "                image[r][c] = newColor\n",
    "                if r >= 1: dfs(r - 1, c)\n",
    "                if r < SR - 1: dfs(r + 1, c)\n",
    "                if c >= 1: dfs(r, c - 1)\n",
    "                if c < SC - 1: dfs(r, c + 1)\n",
    "        dfs(sr, sc)\n",
    "        return image"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 10,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "[[2, 2, 2], [2, 2, 0], [2, 0, 1]]"
      ]
     },
     "execution_count": 10,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "s=Solution()\n",
    "im = [[1,1,1],[1,1,0],[1,0,1]]\n",
    "s.floodFill(im,1,1,2)"
   ]
  }
 ],
 "metadata": {
  "kernelspec": {
   "display_name": "Python 3",
   "language": "python",
   "name": "python3"
  },
  "language_info": {
   "codemirror_mode": {
    "name": "ipython",
    "version": 3
   },
   "file_extension": ".py",
   "mimetype": "text/x-python",
   "name": "python",
   "nbconvert_exporter": "python",
   "pygments_lexer": "ipython3",
   "version": "3.7.0"
  }
 },
 "nbformat": 4,
 "nbformat_minor": 2
}