|
| 1 | +""" |
| 2 | +Flood Fill |
| 3 | +
|
| 4 | +Jessica Yung |
| 5 | +Jan 2018 |
| 6 | +""" |
| 7 | +import numpy as np |
| 8 | + |
| 9 | +class FloodFill2D: |
| 10 | + |
| 11 | + def __init__(self, grid_width, grid_height, visited=None): |
| 12 | + self.grid_width = grid_width |
| 13 | + self.grid_height = grid_height |
| 14 | + if visited is None: |
| 15 | + self.visited = np.zeros((grid_height, grid_width)) |
| 16 | + else: |
| 17 | + self.visited = visited |
| 18 | + self.steps_taken = np.zeros((grid_height, grid_width)) |
| 19 | + |
| 20 | + |
| 21 | + def flood_fill(self, x, y, steps=0): |
| 22 | + """Basic flood fill algorithm that visits every cell in a 2D grid, where adjacent cells are defined as up to eight cells next to the current cell (can move diagonally). |
| 23 | + DFS-based implementation. |
| 24 | + """ |
| 25 | + print("Current cell: ", x, y) |
| 26 | + print("Steps taken at start", self.steps_taken) |
| 27 | + print("Visited at start: ", self.visited) |
| 28 | + print("Steps at start: ", steps) |
| 29 | + if x >= self.grid_width or y >= self.grid_height: |
| 30 | + return |
| 31 | + if x < 0 or y < 0: |
| 32 | + return |
| 33 | + if self.visited[y][x]: |
| 34 | + print("Already visited ", x, y) |
| 35 | + return |
| 36 | + |
| 37 | + # Mark current cell as visited |
| 38 | + self.visited[y][x] = True |
| 39 | + self.steps_taken[y][x] = steps |
| 40 | + print("Visited ", x, y, "in ", steps, " steps") |
| 41 | + print(self.steps_taken) |
| 42 | + print("Visited is now") |
| 43 | + print(self.visited) |
| 44 | + |
| 45 | + # Visit every neighbouring cell |
| 46 | + for cell in self.neighbour(x, y): |
| 47 | + self.flood_fill(cell[0], cell[1], steps+1) |
| 48 | + |
| 49 | + def neighbour(self, x, y): |
| 50 | + neighbours = [] |
| 51 | + for dx in [-1,0,1]: |
| 52 | + for dy in [-1,0,1]: |
| 53 | + neighbours.append([x + dx, y + dy]) |
| 54 | + return neighbours |
| 55 | + |
| 56 | +ff = FloodFill2D(4, 3) |
| 57 | +ff.flood_fill(1,2) |
| 58 | +print(ff.steps_taken) |
| 59 | + |
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