d = [] with open('cellpicture.txt') as f: m,n = map(int,f.readline(). ) for x in range(): r = list(map( ,f.readline()[:n])) d.append(r) for x in d: print(x) def explorePixel(d,m,n,i,j): q = [(i,j)] while q: x,y = q.pop(0) if d[x][y] < 0: continue d[x][y] = 0 - d[x][y] if x > 0 and d[x-1][y] > 0: q.append((x-1,y)) if x < (n-1) and d[x+1][y] > 0: q.append((x+1,y)) if y > 0 and d[x][y-1] > 0: q.append((x,y-1)) if y < (n-1) and d[x][y+1] > 0: q.append((x,y+1)) iCellCount = 0 for i in range(m): for j in range(n): if d[i][j] <= 0: iCellCount += 1 explorePixel() print(iCellCount)补充代码

以下是补充完整的代码：

d = []
with open('cellpicture.txt') as f:
    m, n = map(int, f.readline().split())
    for x in range(m):
        r = list(map(int, f.readline()[:n]))
        d.append(r)

for x in d:
    print(x)

def explorePixel(d, m, n, i, j):
    q = [(i,j)]
    while q:
        x,y = q.pop(0)
        if d[x][y] < 0:
            continue
        d[x][y] = 0 - d[x][y]
        if x > 0 and d[x-1][y] > 0:
            q.append((x-1,y))
        if x < (m-1) and d[x+1][y] > 0:
            q.append((x+1,y))
        if y > 0 and d[x][y-1] > 0:
            q.append((x,y-1))
        if y < (n-1) and d[x][y+1] > 0:
            q.append((x,y+1))

iCellCount = 0
for i in range(m):
    for j in range(n):
        if d[i][j] <= 0:
            continue
        iCellCount += 1
        explorePixel(d, m, n, i, j)

print(iCellCount)

这段代码用于读取一个文本文件中表示细胞图片的矩阵，然后通过 BFS（广度优先搜索）算法遍历连通的细胞，并统计细胞数量。

其中 `d` 是细胞图片的矩阵，`m` 和 `n` 分别表示矩阵的行数和列数。`explorePixel` 函数用于遍历连通的细胞，输入参数为细胞图片矩阵 `d`、矩阵的行数 `m`、列数 `n`，以及当前细胞的坐标 `(i, j)`。`iCellCount` 变量用于记录细胞数量。