196 lines
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6.6 KiB
Text
196 lines
No EOL
6.6 KiB
Text
---
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id: ff
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title: Flood Fill
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author: Darren Yao
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prerequisites:
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- Silver - Depth First Search
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description: "Flood Fill refers to finding connected components in a graph that is respresented by a grid."
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frequency: 3
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---
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import { Problem } from "../models";
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export const metadata = {
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problems: {
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sample: [
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new Problem("LC", "Flood Fill", "https://leetcode.com/problems/flood-fill/", "Intro|Easy", false, []),
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new Problem("CSES", "Counting Rooms", "1192", "Easy", false, []),
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],
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general: [
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new Problem("CSES", "Labyrinth", "1193", "Easy", false, []),
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new Problem("Silver", "Count Cross", "716", "Easy", false, ["FF"]),
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new Problem("Silver", "Ice Perimeter", "895", "Easy", false, []),
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new Problem("Silver", "Switching on the Lights", "570", "Normal", false, []),
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new Problem("Silver", "Build Gates", "596", "Normal", false, []),
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new Problem("Silver", "Milk Pails", "620", "Normal", false, []),
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new Problem("Silver", "Where's Bessie?", "740", "Normal", false, []),
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new Problem("Silver", "Why Did the Cow Cross the Road III", "716", "Normal", false, []),
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new Problem("Silver", "Multiplayer Moo", "836", "Hard", false, []),
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new Problem("Silver", "Snow Boots", "811", "Hard", false, []),
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new Problem("Silver", "Mooyo Mooyo", "860", "Hard", false, []),
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],
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}
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};
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<problems-list problems={metadata.problems.sample} />
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<br />
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<resources>
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<resource source="IUSACO" title="10.5 - Flood Fill">module is based off this</resource>
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</resources>
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**Flood fill** is an algorithm that identifies and labels the connected component that a
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particular cell belongs to, in a multi-dimensional array. Essentially, it’s DFS, but on a grid,
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and we want to find the connected component of all the connected cells with the same number.
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For example, let’s look at the following grid and see how floodfill works, starting from the
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top-left cell. The color scheme will be the same: red for the node currently being processed,
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blue for nodes already visited, and uncolored for nodes not yet visited.
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(tables)
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As opposed to an explicit graph where the edges are given, a grid is an implicit graph.
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This means that the neighbors are just the nodes directly adjacent in the four cardinal
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directions.
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Usually, grids given in problems will be $N$ by $M$, so the first line of the input contains the
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numbers $N$ and $M$. In this example, we will use an two-dimensional integer array to store the
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grid, but depending on the problem, a two-dimensional character array or a two-dimensional
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boolean array may be more appropriate. Then, there are $N$ rows, each with $M$ numbers
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containing the contents of each square in the grid. Example input might look like the following
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(varies between problems):
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```
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3 4
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1 1 2 1
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2 3 2 1
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1 3 3 3
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```
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And we’ll want to input the grid as follows:
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```java
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static int[][] grid;
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static int n, m;
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public static void main(String[] args){
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int n = r.nextInt();
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int m = r.nextInt();
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grid = new int[n][m];
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for(int i = 0; i < n; i++){
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for(int j = 0; j < m; j++){
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grid[i][j] = r.nextInt();
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}
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}
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}
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```
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```cpp
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int grid[MAXN][MAXM];
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int n, m;
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int main(){
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cin >> n >> m;
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for(int i = 0; i < n; i++){
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for(int j = 0; j < m; j++){
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cin >> grid[i][j];
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}
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}
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return 0;
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}
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```
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## Implementation
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<resources>
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<resource source="GFG" title="Flood Fill" url="flood-fill-algorithm-implement-fill-paint"></resource>
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</resources>
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When doing floodfill, we will maintain an $N\times M$ array of booleans to keep track of
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which squares have been visited, and a global variable to maintain the size of the current
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component we are visiting. Make sure to store the grid, the visited array, dimensions, and
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the current size variable globally.
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This means that we want to recursively call the search function from the squares above,
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below, and to the left and right of our current square. The algorithm to find the size of a
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connected component in a grid using floodfill is as follows (we’ll also maintain a 2D visited array).
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```java
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static int[][] grid; // the grid itself
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static int n, m; // grid dimensions, rows and columns
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static boolean[][] visited; // keeps track of which nodes have been visited
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static int currentSize = 0; // reset to 0 each time we start a new component
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public static void main(String[] args){
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/**
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* input code and other problem-specific stuff here
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*/
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for(int i = 0; i < n; i++){
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for(int j = 0; j < m; j++){
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if(!visited[i][j]){
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currentSize = 0;
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floodfill(i, j, grid[i][j]);
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// start a floodfill if the square hasn't already been visited,
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// and then store or otherwise use the component size
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// for whatever it's needed for
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}
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}
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}
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}
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static void floodfill(int r, int c, int color){
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if(r < 0 || r >= n || c < 0 || c >= m) return; // if outside grid
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if(grid[r][c] != color) return; // wrong color
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if(visited[r][c]) return; // already visited this square
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visited[r][c] = true; // mark current square as visited
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currentSize++; // increment the size for each square we visit
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// recursively call floodfill for neighboring squares
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floodfill(r, c+1, color);
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floodfill(r, c-1, color);
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floodfill(r-1, c, color);
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floodfill(r+1, c, color);
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}
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```
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```cpp
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int grid[MAXN][MAXM]; // the grid itself
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int n, m; // grid dimensions, rows and columns
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bool visited[MAXN][MAXM]; // keeps track of which nodes have been visited
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int currentSize = 0; // reset to 0 each time we start a new component
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void floodfill(int r, int c, int color){
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if(r < 0 || r >= n || c < 0 || c >= m) return; // if outside grid
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if(grid[r][c] != color) return; // wrong color
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if(visited[r][c]) return; // already visited this square
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visited[r][c] = true; // mark current square as visited
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currentSize++; // increment the size for each square we visit
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// recursively call floodfill for neighboring squares
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floodfill(r, c+1, color);
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floodfill(r, c-1, color);
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floodfill(r-1, c, color);
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floodfill(r+1, c, color);
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}
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int main(){
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/**
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* input code and other problem-specific stuff here
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*/
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for(int i = 0; i < n; i++){
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for(int j = 0; j < m; j++){
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if(!visited[i][j]){
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currentSize = 0;
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floodfill(i, j, grid[i][j]);
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// start a floodfill if the square hasn't
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// already been visited, and then
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// store or otherwise use the component size for whatever
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// it's needed for
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}
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}
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}
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return 0;
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}
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```
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## Problems
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<problems-list problems={metadata.problems.general} /> |