### BUGGY CODE ###

# 入力が10**5とかになったときに100ms程度早い
import sys
read = sys.stdin.readline


def read_ints():
    return list(map(int, read().split()))


def read_a_int():
    return int(read())


def read_matrix(H):
    '''
    H is number of rows
    '''
    return [list(map(int, read().split())) for _ in range(H)]


def read_map(H, W):
    '''
    H is number of rows
    文字列で与えられた盤面を読み取る用
    '''
    return [read()[:-1] for _ in range(H)]


def read_col(H, n_cols):
    '''
    H is number of rows
    n_cols is number of cols

    A列、B列が与えられるようなとき
    '''
    ret = [[] for _ in range(n_cols)]
    for _ in range(H):
        tmp = list(map(int, read().split()))
        for col in range(n_cols):
            ret[col].append(tmp[col])

    return ret


# from copy import deepcopy


class Queue:
    def __init__(self, que):
        self.que = que

    def popleft(self):
        tmp = self.que[0]
        del self.que[0]
        return tmp

    def append(self, content):
        self.que.append(content)


H, W = read_ints()
A = read_map(H, W)

# from collections import deque


# 探索の準備
mvx = (1, 0, -1, 0)
mvy = (0, 1, 0, -1)
visited = [[False for _ in range(W)] for _ in range(H)]

# 開始地点
start = []
for i, a in enumerate(A):
    for j, aa in enumerate(a):
        if aa == '#':
            start.append((i, j))
            visited[i][j] = True

n_white = W * H

que = Queue([(si, sj, 0) for si, sj in start])
# 幅優先探索
while que:
    y, x, cost = que.popleft()
    # 白マスの数の管理
    n_white -= 1
    if n_white == 0:
        print(cost)
        exit()

    for dy, dx in zip(mvy, mvx):
        y_new, x_new = y + dy, x + dx
        # 探索に含めない条件
        if not (-1 < y_new < H) or not (-1 < x_new < W):
            continue
        if visited[y_new][x_new]:
            continue

        # 探索に追加してあげる
        que.append((y_new, x_new, cost + 1))
        visited[y_new][x_new] = True


### FIXED CODE ###

# 入力が10**5とかになったときに100ms程度早い
import sys
read = sys.stdin.readline


def read_ints():
    return list(map(int, read().split()))


def read_a_int():
    return int(read())


def read_matrix(H):
    '''
    H is number of rows
    '''
    return [list(map(int, read().split())) for _ in range(H)]


def read_map(H, W):
    '''
    H is number of rows
    文字列で与えられた盤面を読み取る用
    '''
    return [read()[:-1] for _ in range(H)]


def read_col(H, n_cols):
    '''
    H is number of rows
    n_cols is number of cols

    A列、B列が与えられるようなとき
    '''
    ret = [[] for _ in range(n_cols)]
    for _ in range(H):
        tmp = list(map(int, read().split()))
        for col in range(n_cols):
            ret[col].append(tmp[col])

    return ret


H, W = read_ints()
A = read_map(H, W)

from itertools import product
from collections import deque


# 開始地点
start = []
for i, a in enumerate(A):
    for j, aa in enumerate(a):
        if aa == '#':
            start.append((i, j))


# 探索の準備
mvx = (1, 0, -1, 0)
mvy = (0, 1, 0, -1)
visited = [[False for _ in range(W)] for _ in range(H)]

n_white = W*H
que = deque([(si, sj, 0) for si, sj in start])

for si, sj in start:
    visited[si][sj] = True

# 幅優先探索
while que:
    y, x, cost = que.popleft()
    # 白マスの数の管理
    n_white -= 1
    if n_white == 0:
        ans = cost
        break

    for dy, dx in zip(mvy, mvx):
        y_new, x_new = y + dy, x + dx
        # 探索に含めない条件
        if not (-1 < y_new < H) or not (-1 < x_new < W):
            continue
        if visited[y_new][x_new]:
            continue

        # 探索に追加してあげる
        que.append((y_new, x_new, cost + 1))
        visited[y_new][x_new] = True


print(cost)