### BUGGY CODE ###

import heapq
class Dijkstra:
    INF = 10**18
    threshold = 10**9

    def __init__(self, N):
        self.MAX_V = N + 1
        self.dist = [self.INF] * self.MAX_V
        self.G = [[] for _ in range(self.MAX_V)]

    def insert(self, X, Y, cost): self.G[X].append([cost, Y])

    def dijkstra(self, st):
        q = []
        heapq.heappush(q, [0, st])
        self.dist[st] = 0

        while len(q):
            p = heapq.heappop(q)
            cost = p[0]
            node = p[1]
            if cost > self.dist[node]: continue
            for to in self.G[node]:
                to_cost = to[0]
                to_node = to[1]
                to_cost += self.dist[node]
                if self.dist[to_node] > to_cost:
                    self.dist[to_node] = to_cost
                    heapq.heappush(q, [to_cost, to_node])

h, w = map(int, input().split())
sh, sw = map(int, input().split())
eh, ew = map(int, input().split())

sh -= 1
sw -= 1
eh -= 1
ew -= 1

S = [input() for _ in range(h)]

di = Dijkstra(h*w)
for x in range(h):
    for y in range(w):
        if S[x][y] == '#': continue
        for i in range(-2, 3):
            for j in range(-2, 3):
                X = x + i
                Y = y + j
                if X < 0 or Y < 0 or X >= h or Y >= w or S[X][Y] == '#': continue
                D = abs(i) + abs(j)

                if D == 1: di.insert(x * w + y, X * w + Y, 0)
                if D >= 2: di.insert(x * w + y, X * w + Y, 1)

di.dijkstra(sh * w + sw)
ans = di.dist[eh * w + ew]
if ans == 10**18: print(-1)
else: print(ans)


### FIXED CODE ###

import heapq
class Dijkstra:
    INF = 10**18
    threshold = 10**9

    def __init__(self, N):
        self.MAX_V = N + 1
        self.dist = [self.INF] * self.MAX_V
        self.G = [[] for _ in range(self.MAX_V)]

    def insert(self, X, Y, cost): self.G[X].append(cost * self.threshold + Y)

    def dijkstra(self, st):
        q = []
        heapq.heappush(q, st)
        self.dist[st] = 0

        while len(q):
            p = heapq.heappop(q)
            cost = p // self.threshold
            node = p - cost * self.threshold
            if cost > self.dist[node]: continue
            for to in self.G[node]:
                to_cost = to // self.threshold
                to_node = to - to_cost * self.threshold
                to_cost += self.dist[node]
                if self.dist[to_node] > to_cost:
                    self.dist[to_node] = to_cost
                    heapq.heappush(q, to_cost * self.threshold + to_node)

h, w = map(int, input().split())
sh, sw = map(int, input().split())
eh, ew = map(int, input().split())

sh -= 1
sw -= 1
eh -= 1
ew -= 1

S = [input() for _ in range(h)]

di = Dijkstra(h*w)
for x in range(h):
    for y in range(w):
        if S[x][y] == '#': continue
        for i in range(-2, 3):
            for j in range(-2, 3):
                X = x + i
                Y = y + j
                if X < 0 or Y < 0 or X >= h or Y >= w or S[X][Y] == '#': continue
                D = abs(i) + abs(j)

                if D == 1: di.insert(x * w + y, X * w + Y, 0)
                if D >= 2: di.insert(x * w + y, X * w + Y, 1)

di.dijkstra(sh * w + sw)
ans = di.dist[eh * w + ew]
if ans == 10**18: print(-1)
else: print(ans)