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可以把最外围的都检查一遍是否有为1的,有的话就把他接壤的全变成海,然后正常算面积。也可以看岛屿是否有靠边的位置,有的话该岛面积不计算在总面积中。
direction = [[1, 0], [0, 1], [-1, 0], [0, -1]] def bfs(cur, islands, visited): N = len(islands) M = len(islands[0]) st = [cur] area = 1 flag = False if cur[0]==0 or cur[0]==N-1 or cur[1]==0 or cur[1]==M-1: flag = True while st: cur = st.pop() for d in direction: x = d[0] + cur[0] y = d[1] + cur[1] if x < 0 or x >= N or y < 0 or y >= M: continue if islands[x][y] == 1 and visited[x][y] == False: if x==0 or x==N-1 or y==0 or y==M-1: flag = True area += 1 st.append([x, y]) visited[x][y] = True if flag: return 0 else: return area if __name__ == '__main__': area = 0 NM = input().split() N, M = int(NM[0]), int(NM[1]) islands = [[0] * M for _ in range(N)] for i in range(N): lands = input().split() for j in range(M): islands[i][j] = int(lands[j]) visited = [[False] * M for _ in range(N)] for i in range(N): for j in range(M): if (islands[i][j] == 1) and (visited[i][j]==False): visited[i][j] = True tmp = bfs([i,j], islands, visited) # print([i, j], tmp) area += tmp print(area)
这题就是从外圈找,找到未访问且为1的就把接壤的在新的岛屿图上标注为1。
direction = [[1, 0], [0, 1], [-1, 0], [0, -1]] def bfs(cur, islands, visited, new_islands): N = len(islands) M = len(islands[0]) st = [cur] while st: cur = st.pop() for d in direction: x = d[0] + cur[0] y = d[1] + cur[1] if x < 0 or x >= N or y < 0 or y >= M: continue if islands[x][y] == 1 and visited[x][y] == False: st.append([x, y]) visited[x][y] = True new_islands[x][y] = 1 if __name__ == '__main__': area = 0 NM = input().split() N, M = int(NM[0]), int(NM[1]) islands = [[0] * M for _ in range(N)] for i in range(N): lands = input().split() for j in range(M): islands[i][j] = int(lands[j]) visited = [[False] * M for _ in range(N)] new_islands = [[0] * M for _ in range(N)] for j in range(M): if islands[0][j] == 1 and not visited[0][j]: new_islands[0][j] = 1 bfs([0, j], islands, visited, new_islands) if islands[N-1][j] == 1 and not visited[N-1][j]: new_islands[N-1][j] = 1 bfs([N-1, j], islands, visited, new_islands) for i in range(1, N-1): if islands[i][0] == 1 and not visited[i][0]: new_islands[i][0] = 1 bfs([i, 0], islands, visited, new_islands) if islands[i][M-1] == 1 and not visited[i][M-1]: new_islands[i][M-1] = 1 bfs([i, M-1], islands, visited, new_islands) for island in new_islands: print(' '.join(map(str, island)))
正向逻辑就是对每一块去看他能流到哪里,如果同时能流到第一边界和第二边界那就输出。但是会超时。
def dfs(cur, grid, visited): if visited[cur[0]][cur[1]]: return visited[cur[0]][cur[1]] = True N = len(grid) M = len(grid[0]) directions = [[1,0], [-1,0],[0,1], [0,-1]] for d in directions: x = cur[0] + d[0] y = cur[1] + d[1] if x < 0 or x >= N or y < 0 or y >= M: continue if grid[x][y] <= grid[cur[0]][cur[1]]: dfs([x, y], grid, visited) def flow2Borad(cur, grid): N = len(grid) M = len(grid[0]) visited = [[False] * M for _ in range(N)] dfs(cur, grid, visited) isFirst = False isSec = False for i in range(M): if visited[0][i]: isFirst = True break if not isFirst: for i in range(N): if visited[i][0]: isFirst = True break for i in range(M): if visited[N-1][i]: isSec = True break if not isSec: for i in range(N): if visited[i][M-1]: isSec = True break if isSec and isFirst: return True else: return False if __name__ == '__main__': area = 0 NM = input().split() N, M = int(NM[0]), int(NM[1]) islands = [[0] * M for _ in range(N)] for i in range(N): lands = input().split() for j in range(M): islands[i][j] = int(lands[j]) for i in range(N): for j in range(M): if flow2Borad([i,j], islands): print(str(i), ' ',str(j))
对第一边界和第二边界的格子往回推导,退出哪些格子能够流到第一边界和第二边界,如果一个格子能流到第一边界,并且可以流到第二边界那就输出他。
def dfs(cur, islands, visited): if visited[cur[0]][cur[1]]: return N = len(islands) M = len(islands[0]) visited[cur[0]][cur[1]] = True directions = [[1,0], [-1,0], [0,1], [0,-1]] for d in directions: x = cur[0] + d[0] y = cur[1] + d[1] if x < 0 or x >= N or y < 0 or y >= M: continue if islands[x][y] < islands[cur[0]][cur[1]]: continue dfs([x,y], islands, visited) if __name__ == '__main__': N, M = map(int, input().split()) islands = [[0] * M for _ in range(N)] for i in range(N): lands = input().split() for j in range(M): islands[i][j] = int(lands[j]) isFirst_Borad = [[False] * M for _ in range(N)] isSec_Board = [[False] * M for _ in range(N)] for i in range(N): dfs([i, 0], islands, isFirst_Borad) dfs([i, M-1], islands, isSec_Board) for j in range(M): dfs([0, j], islands, isFirst_Borad) dfs([N-1, j], islands, isSec_Board) for i in range(N): for j in range(M): if isSec_Board[i][j] and isFirst_Borad[i][j]: print(str(i)+' '+str(j))
有点麻烦的这题,在前面的基础上还要再做一个列表来对岛屿进行标号。在计算完所有岛屿面积后做出一个岛屿标号和面积的字典,然后遍历所有的位置,如果是海洋,则在他四周找岛屿,没找到一个不同标号的岛屿就加到结果中,最后选最大的一个岛屿面积和。(但是题目说没有岛输出0,但是答案又是1,就是默认没有岛屿就翻转一块位置变成岛屿
direction = [[1, 0], [0, 1], [-1, 0], [0, -1]] def bfs(cur, islands, visited, mark, num): visited[cur[0]][cur[1]] = True mark[cur[0]][cur[1]] = num st = [cur] area = 1 while st: cur = st.pop() for d in direction: x = d[0] + cur[0] y = d[1] + cur[1] if x < 0 or x >= N or y < 0 or y >= M: continue if islands[x][y] == 1 and visited[x][y] == False: st.append([x, y]) area += 1 visited[x][y] = True mark[x][y] = num return area if __name__ == '__main__': N, M = map(int, input().split()) islands = [[0] * M for _ in range(N)] for i in range(N): lands = input().split() for j in range(M): islands[i][j] = int(lands[j]) visited = [[False] * M for _ in range(N)] mark = [[0] * M for _ in range(N)] num = 1 islandArea = {} for i in range(N): for j in range(M): if (islands[i][j] == 1) and (visited[i][j]==False): area = bfs([i,j], islands, visited, mark, num) islandArea[num] = area num += 1 directions = [[1,0], [-1,0], [0,1], [0,-1]] if islandArea: result = max([value for value in islandArea.values()]) for i in range(N): for j in range(M): if islands[i][j] == 0: temp = 1 pre = [] for d in directions: nextx = i + d[0] nexty = j + d[1] if nextx < 0 or nextx >= N or nexty < 0 or nexty >= M: continue if islands[nextx][nexty] == 1 and not mark[nextx][nexty] in pre: temp += islandArea[mark[nextx][nexty]] pre.append(mark[nextx][nexty]) result = max(result, temp) print(result) else: print(1)
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