In a 1 million by 1 million grid, the coordinates of each grid square are (x, y) with 0 <= x, y < 10^6.
We start at the source square and want to reach the target square.  Each move, we can walk to a 4-directionally adjacent square in the grid that isn't in the given list of blocked squares.
Return true if and only if it is possible to reach the target square through a sequence of moves.
 
Example 1:
Input: blocked = [[0,1],[1,0]], source = [0,0], target = [0,2]
Output: false
Explanation: 
The target square is inaccessible starting from the source square, because we can't walk outside the grid.

Example 2:
Input: blocked = [], source = [0,0], target = [999999,999999]
Output: true
Explanation: 
Because there are no blocked cells, it's possible to reach the target square.

 
Note:

0 <= blocked.length <= 200
blocked[i].length == 2
0 <= blocked[i][j] < 10^6
source.length == target.length == 2
0 <= source[i][j], target[i][j] < 10^6
source != target

Difficulty: MEDIUM
Starter code: class Solution:
    def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
        

Solutions:
import heapq

def solve(b, s, t):

	def create_priority_item(c, t):
		dx = c[0] - t[0]
		dy = c[1] - t[1]
		d2 = dx * dx + dy * dy
		return (d2, c)
	b = set((tuple(_b) for _b in b))
	s = tuple(s)
	t = tuple(t)
	heap = [s]
	visited = set()
	iter = -1
	while heap:
		iter += 1
		if iter > 1100000.0:
			return False
		c = heap.pop()
		if c in visited or c in b or c[0] < 0 or (c[0] >= 1000000.0) or (c[1] < 0) or (c[1] >= 1000000.0):
			continue
		if c == t:
			return True
		dx = c[0] - s[0]
		dy = c[1] - s[1]
		if dx * dx + dy * dy > 200 * 200:
			return True
		visited.add(c)
		heap.append((c[0] + 1, c[1]))
		heap.append((c[0] - 1, c[1]))
		heap.append((c[0], c[1] + 1))
		heap.append((c[0], c[1] - 1))
	return False

def solve_both(b, s, t):
	return solve(b, s, t) and solve(b, t, s)

class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		return solve_both(blocked, source, target)


class Solution:

	def isEscapePossible(self, blocked, source, target):
		blocked = {tuple(p) for p in blocked}

		def bfs(source, target):
			(bfs, seen) = ([source], {tuple(source)})
			for (x0, y0) in bfs:
				for (i, j) in [[0, 1], [1, 0], [-1, 0], [0, -1]]:
					(x, y) = (x0 + i, y0 + j)
					if 0 <= x < 10 ** 6 and 0 <= y < 10 ** 6 and ((x, y) not in seen) and ((x, y) not in blocked):
						if [x, y] == target:
							return True
						bfs.append([x, y])
						seen.add((x, y))
				if len(bfs) == 20000:
					return True
			return False
		return bfs(source, target) and bfs(target, source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:

		def bfs(source, target):
			seen = set()
			queue = collections.deque([source])
			while queue:
				if len(seen) >= 19901:
					return True
				for _ in range(len(queue)):
					pos = queue.popleft()
					if pos == target:
						return True
					seen.add(pos)
					(i, j) = pos
					for (ni, nj) in ((i + 1, j), (i - 1, j), (i, j + 1), (i, j - 1)):
						if 0 <= ni < 10 ** 6 and 0 <= nj < 10 ** 6 and ((ni, nj) not in blocked) and ((ni, nj) not in seen):
							if (ni, nj) == target:
								return True
							seen.add((ni, nj))
							queue.append((ni, nj))
			return False
		blocked = set(map(tuple, blocked))
		(source, target) = (tuple(source), tuple(target))
		return bfs(source, target) and bfs(target, source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:

		def method1(blocked):
			R = C = 10 ** 6
			if not (0 <= source[0] < R and 0 <= source[1] < C):
				return False
			if not (0 <= target[0] < R and 0 <= target[1] < C):
				return False
			if not blocked:
				return True
			blocked = set(map(tuple, blocked))
			seen = set()

			def neighbors(r, c):
				for (nr, nc) in [(r - 1, c), (r + 1, c), (r, c - 1), (r, c + 1)]:
					if 0 <= nr < R and 0 <= nc < C:
						yield (nr, nc)

			def dfs(r, c):
				if (r, c) in seen:
					return False
				if [r, c] == target:
					return True
				if (r, c) in blocked:
					return False
				seen.add((r, c))
				for (nr, nc) in neighbors(r, c):
					if dfs(nr, nc):
						return True
				return False
			return dfs(*source)

		def method2(blocked):
			R = C = 10 ** 6
			if not (0 <= source[0] < R and 0 <= source[1] < C):
				return False
			if not (0 <= target[0] < R and 0 <= target[1] < C):
				return False
			if not blocked:
				return True
			blocked = set(map(tuple, blocked))

			def neighbors(r, c):
				for (nr, nc) in [(r - 1, c), (r + 1, c), (r, c - 1), (r, c + 1)]:
					if 0 <= nr < R and 0 <= nc < C:
						yield (nr, nc)

			def check(blocked, source, target):
				(si, sj) = source
				(ti, tj) = target
				level = 0
				q = collections.deque([(si, sj)])
				vis = set()
				while q:
					for _ in range(len(q)):
						(i, j) = q.popleft()
						if i == ti and j == tj:
							return True
						for (x, y) in neighbors(i, j):
							if (x, y) not in vis and (x, y) not in blocked:
								vis.add((x, y))
								q.append((x, y))
					level += 1
					if level == len(blocked):
						return True
				return False
			return check(blocked, source, target) and check(blocked, target, source)
		return method2(blocked)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:

		def method1(blocked):
			R = C = 10 ** 6
			if not (0 <= source[0] < R and 0 <= source[1] < C):
				return False
			if not (0 <= target[0] < R and 0 <= target[1] < C):
				return False
			if not blocked:
				return True
			blocked = set(map(tuple, blocked))
			seen = set()

			def neighbors(r, c):
				for (nr, nc) in [(r - 1, c), (r + 1, c), (r, c - 1), (r, c + 1)]:
					if 0 <= nr < R and 0 <= nc < C:
						yield (nr, nc)

			def dfs(r, c):
				if (r, c) in seen:
					return False
				if [r, c] == target:
					return True
				if (r, c) in blocked:
					return False
				seen.add((r, c))
				for (nr, nc) in neighbors(r, c):
					if dfs(nr, nc):
						return True
				return False
			return dfs(*source)

		def method2(blocked):
			R = C = 10 ** 6
			if not (0 <= source[0] < R and 0 <= source[1] < C):
				return False
			if not (0 <= target[0] < R and 0 <= target[1] < C):
				return False
			if not blocked:
				return True
			blocked = set(map(tuple, blocked))

			def neighbors(r, c):
				for (nr, nc) in [(r - 1, c), (r + 1, c), (r, c - 1), (r, c + 1)]:
					if 0 <= nr < R and 0 <= nc < C:
						yield (nr, nc)

			def check(source, target):
				(sr, sc) = source
				(tr, tc) = target
				level = 0
				q = collections.deque([(sr, sc)])
				vis = set()
				while q:
					for _ in range(len(q)):
						(r, c) = q.popleft()
						if r == tr and c == tc:
							return True
						for (nr, nc) in neighbors(r, c):
							if (nr, nc) not in vis and (nr, nc) not in blocked:
								vis.add((nr, nc))
								q.append((nr, nc))
					level += 1
					if level == len(blocked):
						return True
				return False
			return check(source, target) and check(target, source)
		return method2(blocked)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		(sc, sr) = source
		(tc, tr) = target
		(R, C) = (10 ** 6, 10 ** 6)

		def dist(r1, c1, r2, c2):
			return abs(r2 - r1) + abs(c2 - c1)
		q = [[(0, *source[::-1])], [(0, *target[::-1])]]
		v = [set(), set()]
		b = set((tuple(b[::-1]) for b in blocked))
		if tuple(source) in b or tuple(target) in b:
			return False
		source_escape = False
		target_escape = False
		while q[0] and q[1]:
			index = 0 if len(q[0]) <= len(q[1]) else 1
			(d, r, c) = heapq.heappop(q[index])
			for (i, j) in ((r + 1, c), (r - 1, c), (r, c + 1), (r, c - 1)):
				if 0 <= i < R and 0 <= j < C and ((i, j) not in b) and ((i, j) not in v[index]):
					if (i, j) in v[1 - index]:
						return True
					v[index].add((i, j))
					(r_target, c_target) = q[1 - index][0][1:]
					heapq.heappush(q[index], (dist(i, j, r_target, c_target), i, j))
			if not source_escape and (not index):
				source_escape = dist(r, c, sr, sc) > 200
			if not target_escape and index:
				target_escape = dist(r, c, tr, tc) > 200
			if source_escape and target_escape:
				return True
		return False


class Solution:

	def isEscapePossible(self, blocked, source, target):
		blocked = {tuple(p) for p in blocked}

		def bfs(source, target):
			(queue, seen) = ([source], {tuple(source)})
			for (x0, y0) in queue:
				for (i, j) in [[0, 1], [1, 0], [-1, 0], [0, -1]]:
					(x, y) = (x0 + i, y0 + j)
					if 0 <= x < 10 ** 6 and 0 <= y < 10 ** 6 and ((x, y) not in seen) and ((x, y) not in blocked):
						if [x, y] == target:
							return True
						queue.append([x, y])
						seen.add((x, y))
				if len(queue) == 20000:
					return True
			return False
		return bfs(source, target) and bfs(target, source)

class Solution1:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		if not blocked:
			return True
		rows = cols = 10 ** 6
		directions = {(0, 1), (0, -1), (1, 0), (-1, 0)}
		(q1, q2) = ([source], [target])
		seen = set()
		while q1:
			next_q = []
			while q1:
				(r, c) = q1.pop()
				for (dr, dc) in directions:
					if 0 <= r + dr < rows and 0 <= c + dc < cols:
						if [r + dr, c + dc] in q2:
							return True
						if [r + dr, c + dc] not in blocked:
							next_q.append([r + dr, c + dc])
							seen.add((r + dr, c + dc))
			q1 = next_q
			if len(q1) > len(q2):
				(q1, q2) = (q2, q1)
		return False


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocked = set([tuple(b) for b in blocked])
		dirs = [[-1, 0], [1, 0], [0, -1], [0, 1]]

		def valid(r, c):
			if r >= 0 and r < 1000000 and (c >= 0) and (c < 1000000):
				return True
			return False

		def bfs(source, target):
			q = [tuple(source)]
			vis = set([tuple(source)])
			while q:
				if len(q) > len(blocked):
					return True
				temp = []
				for (r, c) in q:
					if (r, c) == tuple(target):
						return True
					for d in dirs:
						nr = r + d[0]
						nc = c + d[1]
						if valid(nr, nc):
							if (nr, nc) not in vis and (nr, nc) not in blocked:
								temp.append((nr, nc))
								vis.add((nr, nc))
				q = temp
			return False
		return bfs(source, target) and bfs(target, source)


import collections

class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		if not blocked:
			return True
		blocked = set(map(tuple, blocked))
		print(len(blocked))
		return self.bfs(blocked, source, target) and self.bfs(blocked, target, source)

	def bfs(self, blocked, source, target):
		(si, sj) = source
		(ti, tj) = target
		queue = collections.deque([(si, sj)])
		visited = set()
		directions = [(0, 1), (0, -1), (1, 0), (-1, 0)]
		step = 0
		while queue:
			size = len(queue)
			for _ in range(size):
				(curX, curY) = queue.popleft()
				if curX == ti and curY == tj:
					return True
				for (dx, dy) in directions:
					newX = curX + dx
					newY = curY + dy
					if self.isValid(newX, newY, blocked, visited):
						queue.append((newX, newY))
						visited.add((newX, newY))
			step += 1
			if step == len(blocked):
				break
		else:
			return False
		return True

	def isValid(self, newX, newY, blocked, visited):
		return 0 <= newX < 1000000 and 0 <= newY < 1000000 and ((newX, newY) not in blocked) and ((newX, newY) not in visited)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocked = set(map(tuple, blocked))
		(src, target) = (tuple(source), tuple(target))
		return self.dfs(src, target, set(), blocked) and self.dfs(target, src, set(), blocked)

	def dfs(self, src, target, seen, blocked):
		if len(seen) > 20000 or src == target:
			return True
		(x0, y0) = src
		for (dx, dy) in [(0, 1), (0, -1), (1, 0), (-1, 0)]:
			x = x0 + dx
			y = y0 + dy
			if 0 <= x < 10 ** 6 and 0 <= y < 10 ** 6 and ((x, y) not in seen) and ((x, y) not in blocked):
				seen.add((x, y))
				if self.dfs((x, y), target, seen, blocked):
					return True
		return False


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], se: List[int], target: List[int]) -> bool:
		d = {}
		d[se[0], se[1]] = 1
		e = [se]
		v = 1
		bl = {tuple(i) for i in blocked}
		while e != []:
			f = []
			for i in e:
				if i == target:
					return True
				x = i[0]
				y = i[1]
				if x > 0:
					if (x - 1, y) not in bl and (x - 1, y) not in d:
						f.append([x - 1, y])
						d[x - 1, y] = 1
				if x < 10 ** 6:
					if (x + 1, y) not in bl and (x + 1, y) not in d:
						f.append([x + 1, y])
						d[x + 1, y] = 1
				if y > 0:
					if (x, y - 1) not in bl and (x, y - 1) not in d:
						f.append([x, y - 1])
						d[x, y - 1] = 1
				if y < 10 ** 6:
					if (x, y + 1) not in bl and (x, y + 1) not in d:
						f.append([x, y + 1])
						d[x, y + 1] = 1
			e = f
			v += len(f)
			if v >= 20000:
				break
		if e == []:
			return False
		d = {}
		d[target[0], target[1]] = 1
		e = [target]
		v = 0
		while e != []:
			f = []
			for i in e:
				if i == se:
					return True
				x = i[0]
				y = i[1]
				if x > 0:
					if (x - 1, y) not in bl and (x - 1, y) not in d:
						f.append([x - 1, y])
						d[x - 1, y] = 1
				if x < 10 ** 6:
					if (x + 1, y) not in bl and (x + 1, y) not in d:
						f.append([x + 1, y])
						d[x + 1, y] = 1
				if y > 0:
					if (x, y - 1) not in bl and (x, y - 1) not in d:
						f.append([x, y - 1])
						d[x, y - 1] = 1
				if y < 10 ** 6:
					if (x, y + 1) not in bl and (x, y + 1) not in d:
						f.append([x, y + 1])
						d[x, y + 1] = 1
			e = f
			v += len(f)
			if v >= 20000:
				return True
		if e == []:
			return False


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocks = {tuple(b) for b in blocked}

		def bfs(start, end):
			(queue, used) = ([start], {tuple(start)})
			for (x, y) in queue:
				for (dx, dy) in [[-1, 0], [1, 0], [0, 1], [0, -1]]:
					(nx, ny) = (x + dx, y + dy)
					if 0 <= nx < 10 ** 6 and 0 <= ny < 10 ** 6 and ((nx, ny) not in blocks) and ((nx, ny) not in used):
						if [nx, ny] == end:
							return True
						queue.append([nx, ny])
						used.add((nx, ny))
				if len(queue) == 20000:
					return True
			return False
		return bfs(source, target) and bfs(target, source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		if not blocked:
			return True
		blocked = set(map(tuple, blocked))

		def check(blocked, source, target):
			(si, sj) = source
			(ti, tj) = target
			level = 0
			q = collections.deque([(si, sj)])
			vis = set()
			while q:
				for _ in range(len(q)):
					(i, j) = q.popleft()
					if i == ti and j == tj:
						return True
					for (x, y) in ((i + 1, j), (i - 1, j), (i, j + 1), (i, j - 1)):
						if 0 <= x < 10 ** 6 and 0 <= y < 10 ** 6 and ((x, y) not in vis) and ((x, y) not in blocked):
							vis.add((x, y))
							q.append((x, y))
				level += 1
				if level == len(blocked):
					break
			else:
				return False
			return True
		return check(blocked, source, target) and check(blocked, target, source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocked = {tuple(p) for p in blocked}
		src_q = []
		src_visited = set()
		tgt_q = []
		tgt_visited = set()
		src_q.append((source[0], source[1]))
		tgt_q.append((target[0], target[1]))
		while src_q and tgt_q:
			(src_node_x, src_node_y) = src_q.pop(0)
			(tgt_node_x, tgt_node_y) = tgt_q.pop(0)
			if (src_node_x, src_node_y) in tgt_visited:
				return True
			if (tgt_node_x, tgt_node_y) in src_visited:
				return True
			if len(tgt_visited) > 20000 or len(src_visited) > 20000:
				return True
			if (src_node_x, src_node_y) not in src_visited:
				src_visited.add((src_node_x, src_node_y))
				src_neighboring_nodes = [(src_node_x, src_node_y - 1), (src_node_x, src_node_y + 1), (src_node_x - 1, src_node_y), (src_node_x + 1, src_node_y)]
				for each_node in src_neighboring_nodes:
					if 0 <= each_node[0] < 10 ** 6 and 0 <= each_node[1] < 10 ** 6 and (each_node not in blocked) and (each_node not in src_visited):
						src_q.append((each_node[0], each_node[1]))
			if (tgt_node_x, tgt_node_y) not in tgt_visited:
				tgt_visited.add((tgt_node_x, tgt_node_y))
				tgt_neighboring_nodes = [(tgt_node_x, tgt_node_y - 1), (tgt_node_x, tgt_node_y + 1), (tgt_node_x - 1, tgt_node_y), (tgt_node_x + 1, tgt_node_y)]
				for each_node in tgt_neighboring_nodes:
					if 0 <= each_node[0] < 10 ** 6 and 0 <= each_node[1] < 10 ** 6 and (each_node not in blocked) and (each_node not in tgt_visited):
						tgt_q.append((each_node[0], each_node[1]))
		return False


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		m = 10 ** 6
		n = len(blocked)
		if target in blocked or source in blocked:
			return False
		if n <= 1:
			return True
		dxy = [[0, -1], [0, 1], [-1, 0], [1, 0]]
		blocked = set(map(tuple, blocked))
		threshold = 200 * 200

		def bfs(pos, target):
			q = collections.deque([pos])
			visited = {tuple(pos)}
			cnt = 0
			while q:
				(x, y) = q.popleft()
				if x == target[0] and y == target[1]:
					return 1
				cnt += 1
				if cnt > threshold:
					return 2
				for (dx, dy) in dxy:
					(x_, y_) = (x + dx, y + dy)
					if 0 <= x_ < m and 0 <= y_ < m:
						p = (x_, y_)
						if p not in visited and p not in blocked:
							q.append(p)
							visited.add(p)
			return -1
		i = bfs(source, target)
		if i == 1:
			return True
		if i == -1:
			return False
		j = bfs(target, source)
		return j == 2


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int], maxNum=10000000.0, bound=200) -> bool:
		maxArea = bound * bound // 2 + 1
		directions = [0, 1, 0, -1, 0]

		def dfs(x, y, t):
			if x < 0 or x > maxNum or y < 0 or (y > maxNum) or (tuple([x, y]) in block):
				return False
			seen.add(tuple([x, y]))
			block.add(tuple([x, y]))
			if len(seen) > maxArea or (x == t[0] and y == t[1]):
				return True
			for d in range(4):
				if dfs(x + directions[d], y + directions[d + 1], t):
					return True
			return False
		seen = set()
		block = set(map(tuple, blocked))
		if not dfs(source[0], source[1], target):
			return False
		seen = set()
		block = set(map(tuple, blocked))
		return dfs(target[0], target[1], source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:

		def bfs(start, is_source=True):
			queue = [start]
			pending = set({start})
			visited = set()
			while len(queue) > 0:
				temp = queue.pop(0)
				(x1, y1) = temp
				if temp == tuple(target) and is_source:
					return True
				if temp == tuple(source) and (not is_source):
					return True
				visited.add(temp)
				if len(visited) > len(blocked) ** 2 // 2:
					return True
				pending.remove(temp)
				for (x, y) in [(x1 + 1, y1), (x1 - 1, y1), (x1, y1 + 1), (x1, y1 - 1)]:
					if 0 <= x < 10 ** 6 and 0 <= y < 10 ** 6:
						if (x, y) not in pending and (x, y) not in blocked and ((x, y) not in visited):
							queue.append((x, y))
							pending.add((x, y))
			return False
		blocked = list(map(tuple, blocked))
		return bfs(tuple(source), True) and bfs(tuple(target), False)


class Solution:

	def isEscapePossible(self, b: List[List[int]], s: List[int], t: List[int]) -> bool:

		def find(source, target, blocked):
			queue = [source]
			visited = set()
			while queue:
				(x, y) = queue.pop()
				if len(visited) > 20000:
					return True
				if x == target[0] and y == target[1]:
					return True
				visited.add((x, y))
				next_options = []
				for (x_delta, y_delta) in ((0, 1), (0, -1), (1, 0), (-1, 0)):
					(new_x, new_y) = (x + x_delta, y + y_delta)
					if new_x < 0 or new_x >= 10 ** 6 or new_y < 0 or (new_y >= 10 ** 6):
						continue
					if (new_x, new_y) in visited or (new_x, new_y) in blocked:
						continue
					next_options.append((new_x, new_y))
				next_options.sort(key=lambda point: (point[0] - target[0]) ** 2 + (point[1] - target[1]) ** 2, reverse=True)
				queue += next_options
			return False
		bl = set()
		for bi in b:
			bl.add(tuple(bi))
		return find(s, t, bl) and find(t, s, bl)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		maxlen = 10 ** 6
		maxarea = 40000
		dirs = [(1, 0), (-1, 0), (0, 1), (0, -1)]
		blocked = set(map(tuple, blocked))

		def bfs(source, target):
			q = collections.deque()
			aset = set()
			q.append(source)
			while q and len(aset) < maxarea:
				(row, col) = q.popleft()
				if row == target[0] and col == target[1]:
					return True
				aset.add((row, col))
				for dir in dirs:
					row2 = row + dir[0]
					col2 = col + dir[1]
					if 0 <= row2 < maxlen and 0 <= col2 < maxlen and (not (row2, col2) in aset) and (not (row2, col2) in blocked):
						q.append([row2, col2])
						aset.add((row2, col2))
			return len(aset) >= maxarea
		return bfs(source, target) and bfs(target, source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		directions = [[-1, 0], [0, -1], [1, 0], [0, 1]]
		block_set = {tuple(t) for t in blocked}
		(source, target) = (tuple(source), tuple(target))
		if source in block_set or target in block_set:
			return False

		def findPath(source, target, block_set):
			from collections import deque
			queue = deque()
			(covered, covered_block) = (set(), set())
			queue.append(source)
			covered.add(source)
			while len(queue) > 0:
				count = len(queue)
				while count > 0:
					head = queue.popleft()
					count -= 1
					for dir1 in directions:
						(x, y) = (head[0] + dir1[0], head[1] + dir1[1])
						if x < 0 or x == int(1000000.0) or y < 0 or (y == int(1000000.0)):
							continue
						pos = (x, y)
						if pos == target:
							return True
						elif pos in covered:
							continue
						elif pos in block_set:
							covered.add(pos)
							covered_block.add(pos)
						else:
							queue.append(pos)
							covered.add(pos)
				if len(queue) + len(covered_block) > len(block_set):
					return True
			return False
		if not findPath(source, target, block_set):
			return False
		return findPath(target, source, block_set)


import heapq

def solve(b, s, t):

	def create_priority_item(c, t):
		dx = c[0] - t[0]
		dy = c[1] - t[1]
		d2 = dx * dx + dy * dy
		return (d2, c)
	b = set((tuple(_b) for _b in b))
	s = tuple(s)
	t = tuple(t)
	heap = [(-1, s)]
	visited = set()
	iter = -1
	while heap:
		iter += 1
		if iter > 110000.0:
			return False
		(_, c) = heapq.heappop(heap)
		if c in visited:
			continue
		if c[0] < 0 or c[0] >= 1000000.0 or c[1] < 0 or (c[1] >= 1000000.0):
			continue
		if c in b:
			continue
		if c == t:
			return True
		visited.add(c)
		x = c[0]
		while t[0] > x and (x + 1, c[1]) not in b:
			x += 1
		heapq.heappush(heap, create_priority_item((x, c[1]), t))
		x = c[0]
		while t[0] < x and (x - 1, c[1]) not in b:
			x -= 1
		heapq.heappush(heap, create_priority_item((x, c[1]), t))
		y = c[1]
		while t[1] > y and (c[0], y) not in b:
			y += 1
		heapq.heappush(heap, create_priority_item((c[0], y), t))
		y = c[1]
		while t[1] < y and (c[0], y) not in b:
			y -= 1
		heapq.heappush(heap, create_priority_item((c[0], y), t))
		heapq.heappush(heap, create_priority_item((c[0] + 1, c[1]), t))
		heapq.heappush(heap, create_priority_item((c[0] - 1, c[1]), t))
		heapq.heappush(heap, create_priority_item((c[0], c[1] + 1), t))
		heapq.heappush(heap, create_priority_item((c[0], c[1] - 1), t))
	return False

class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		return solve(blocked, source, target)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:

		def bfs(s, t, b):
			(q, v) = ([s], {s})
			while len(q) > 0:
				(i, j) = q.pop(0)
				if (i, j) == t:
					return True
				if i in (s[0] + 210, s[0] - 210) or j in (s[1] + 210, s[1] - 210):
					return True
				for (d, e) in ((i + 1, j), (i, j + 1), (i - 1, j), (i, j - 1)):
					if d >= 0 and d < 10 ** 6 and (e >= 0) and (e < 10 ** 6) and ((d, e) not in v) and ((d, e) not in b):
						v.add((d, e))
						q.append((d, e))
			return False
		b = set((tuple(i) for i in blocked))
		return bfs(tuple(source), tuple(target), b) and bfs(tuple(target), tuple(source), b)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		DELTAS = [(0, 1), (0, -1), (1, 0), (-1, 0)]
		CANNOT_MEET = 0
		CAN_WALK_200_STEPS = 1
		CAN_MEET = 2
		blocked_set = set((tuple(element) for element in blocked))

		def is_valid(i, j, seen):
			return 0 <= i < 10 ** 6 and 0 <= j < 10 ** 6 and ((i, j) not in blocked_set) and ((i, j) not in seen)

		def can_meet(source, target):
			(i, j) = source
			(ti, tj) = target
			q = deque([(i, j, 0)])
			seen = set()
			seen.add((i, j))
			while q:
				(i, j, step) = q.popleft()
				if i == ti and j == tj:
					return CAN_MEET
				if step == 200:
					return CAN_WALK_200_STEPS
				for (di, dj) in DELTAS:
					(i1, j1) = (i + di, j + dj)
					if is_valid(i1, j1, seen):
						seen.add((i1, j1))
						q.append((i1, j1, step + 1))
			return CANNOT_MEET
		result1 = can_meet(source, target)
		if result1 == CANNOT_MEET:
			return False
		if result1 == CAN_MEET:
			return True
		result2 = can_meet(target, source)
		if result2 == CAN_WALK_200_STEPS:
			return True
		return False


def get_children(point, target):
	children = []
	(y, x) = point
	(size_y, size_x) = target
	if y - 1 >= 0:
		children.append((y - 1, x))
	if x - 1 >= 0:
		children.append((y, x - 1))
	if y + 1 <= size_y:
		children.append((y + 1, x))
	if x + 1 <= size_x:
		children.append((y, x + 1))
	return children

def bfs(source, target, is_blocked):
	queue = []
	marked = set()
	queue.append((source, 1))
	marked.add(source)
	while queue:
		(node_id, depth) = queue.pop(0)
		if depth > 200:
			return True
		for child_id in get_children(node_id, (1000000, 1000000)):
			if child_id in is_blocked:
				continue
			if child_id == target:
				return True
			if child_id not in marked:
				queue.append((child_id, depth + 1))
				marked.add(child_id)
	return False

class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		is_blocked = set()
		for item in blocked:
			is_blocked.add(tuple(item))
		target = tuple(target)
		source = tuple(source)
		if bfs(source, target, is_blocked) and bfs(target, source, is_blocked):
			return True
		return False


class Solution:

	def isValidStep(self, blocked, visited, step) -> bool:
		return tuple(step) not in blocked and tuple(step) not in visited and (step[0] >= 0) and (step[0] < 1000000) and (step[1] >= 0) and (step[1] < 1000000)

	def isEscapePossibleHelper(self, blocked: set, source: List[int], target: List[int]) -> bool:
		directions = [[0, 1], [1, 0], [0, -1], [-1, 0]]
		nextSteps = []
		visited = set([tuple(source)])
		for d in directions:
			step = [source[0] + d[0], source[1] + d[1]]
			if self.isValidStep(blocked, visited, step):
				nextSteps.append(step)
				visited.add(tuple(step))
		while nextSteps:
			step = nextSteps.pop()
			if step == target or abs(step[0] - source[0]) + abs(step[1] - source[1]) >= 200:
				return True
			for d in directions:
				nextStep = [step[0] + d[0], step[1] + d[1]]
				if self.isValidStep(blocked, visited, nextStep):
					nextSteps.append(nextStep)
					visited.add(tuple(step))
					if len(visited) > 20000:
						return True
		return False

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocked = set((tuple(b) for b in blocked))
		return self.isEscapePossibleHelper(blocked, source, target) and self.isEscapePossibleHelper(blocked, target, source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		m = n = 10 ** 6
		max_area = len(blocked) ** 2 / 2
		blocked = set((tuple(x) for x in blocked))

		def dfs(r, c, dst, visited, count, steps):
			if (r, c) in visited:
				return False
			if (r, c) == dst:
				return True
			visited.add((r, c))
			if (r, c) in blocked:
				count[0] += 1
				return False
			if 0 <= r < m and 0 <= c < n:
				if count[0] >= 200:
					return True
				if steps[0] >= max_area:
					return True
				steps[0] += 1
				for (dr, dc) in [(0, 1), (0, -1), (1, 0), (-1, 0)]:
					if dfs(r + dr, c + dc, dst, visited, count, steps):
						return True
			return False
		return dfs(source[0], source[1], tuple(target), set(), [0], [0]) and dfs(target[0], target[1], tuple(source), set(), [0], [0])


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		return self.helper(blocked, source, target) and self.helper(blocked, target, source)

	def helper(self, blocked, source, target):
		if not blocked:
			return True
		dq = collections.deque([tuple(source)])
		l = len(blocked)
		seen = {tuple(source)}
		blocked = set(map(tuple, blocked))
		while dq:
			sz = len(dq)
			for _ in range(sz):
				(x, y) = dq.popleft()
				for (dx, dy) in ((1, 0), (-1, 0), (0, 1), (0, -1)):
					(xx, yy) = (x + dx, y + dy)
					if 0 <= xx < 10 ** 6 and 0 <= yy < 10 ** 6 and ((xx, yy) not in seen) and ((xx, yy) not in blocked):
						seen.add((xx, yy))
						dq.append((xx, yy))
						if (xx, yy) == tuple(target) or len(seen) >= l * l // 2:
							return True
		return False


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		q = collections.deque([source])
		visited = set([tuple(source)])
		blocked = set([tuple(b) for b in blocked])
		lb = len(blocked) * 3
		r = math.ceil(lb / math.pi / 2.0)
		Max = math.ceil(r * r * math.pi)
		(dx, dy) = ([0, 1, 0, -1], [1, 0, -1, 0])
		breakflag = False
		while q:
			if len(visited) > Max:
				breakflag = True
				break
			l = len(q)
			for i in range(l):
				(x, y) = q.popleft()
				for j in range(4):
					(newx, newy) = (x + dx[j], y + dy[j])
					if 0 <= newx < 1000000 and 0 <= newy < 1000000 and ((newx, newy) not in visited) and ((newx, newy) not in blocked):
						if newx == target[0] and newy == target[1]:
							return True
						visited.add((newx, newy))
						q.append((newx, newy))
		if breakflag == False:
			return False
		breakflag = False
		q = collections.deque([target])
		visited = set([tuple(target)])
		while q:
			if len(visited) > Max:
				breakflag = True
				break
			l = len(q)
			for i in range(l):
				(x, y) = q.popleft()
				for j in range(4):
					(newx, newy) = (x + dx[j], y + dy[j])
					if 0 <= newx < 1000000 and 0 <= newy < 1000000 and ((newx, newy) not in visited) and ((newx, newy) not in blocked):
						visited.add((newx, newy))
						q.append((newx, newy))
		if breakflag == False:
			return False
		return True


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		bl = {tuple(b) for b in blocked}
		(s0, s1) = source
		(t0, t1) = target
		s_vis = {(s0, s1)}
		t_vis = {(t0, t1)}
		s_q = [(s0, s1)]
		t_q = [(t0, t1)]
		while s_q and len(s_vis) < 20010:
			(n0, n1) = s_q.pop()
			if (n0, n1) == (t0, t1):
				return True
			if n0 < 10 ** 6 - 1 and (n0 + 1, n1) not in s_vis and ((n0 + 1, n1) not in bl):
				s_q.append((n0 + 1, n1))
				s_vis.add((n0 + 1, n1))
			if n0 > 0 and (n0 - 1, n1) not in s_vis and ((n0 - 1, n1) not in bl):
				s_q.append((n0 - 1, n1))
				s_vis.add((n0 - 1, n1))
			if n1 < 10 ** 6 - 1 and (n0, n1 + 1) not in s_vis and ((n0, n1 + 1) not in bl):
				s_q.append((n0, n1 + 1))
				s_vis.add((n0, n1 + 1))
			if n1 > 0 and (n0, n1 - 1) not in s_vis and ((n0, n1 - 1) not in bl):
				s_q.append((n0, n1 - 1))
				s_vis.add((n0, n1 - 1))
		while t_q and len(t_vis) < 20010:
			(n0, n1) = t_q.pop()
			if (n0, n1) == (s0, s1):
				return True
			if n0 < 10 ** 6 - 1 and (n0 + 1, n1) not in t_vis and ((n0 + 1, n1) not in bl):
				t_q.append((n0 + 1, n1))
				t_vis.add((n0 + 1, n1))
			if n0 > 0 and (n0 - 1, n1) not in t_vis and ((n0 - 1, n1) not in bl):
				t_q.append((n0 - 1, n1))
				t_vis.add((n0 - 1, n1))
			if n1 < 10 ** 6 - 1 and (n0, n1 + 1) not in t_vis and ((n0, n1 + 1) not in bl):
				t_q.append((n0, n1 + 1))
				t_vis.add((n0, n1 + 1))
			if n1 > 0 and (n0, n1 - 1) not in t_vis and ((n0, n1 - 1) not in bl):
				t_q.append((n0, n1 - 1))
				t_vis.add((n0, n1 - 1))
		return bool(t_q and s_q)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocked = set(map(tuple, blocked))

		def dfs(x, y, sink, visited):
			if not (0 <= x < 10 ** 6 and 0 <= y < 10 ** 6) or (x, y) in blocked or (x, y) in visited:
				return False
			visited.add((x, y))
			if len(visited) > 20000 or [x, y] == sink:
				return True
			return dfs(x + 1, y, sink, visited) or dfs(x - 1, y, sink, visited) or dfs(x, y + 1, sink, visited) or dfs(x, y - 1, sink, visited)
		return dfs(source[0], source[1], target, set()) and dfs(target[0], target[1], source, set())


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocked = set(map(tuple, blocked))

		def dfs(x, y, target, blocked, seen):
			if not (0 <= x < 1000000.0 and 0 <= y < 1000000.0) or (x, y) in blocked or (x, y) in seen:
				return False
			seen.add((x, y))
			if len(seen) > 20000 or [x, y] == target:
				return True
			return dfs(x + 1, y, target, blocked, seen) or dfs(x - 1, y, target, blocked, seen) or dfs(x, y + 1, target, blocked, seen) or dfs(x, y - 1, target, blocked, seen)
		return dfs(source[0], source[1], target, blocked, set()) and dfs(target[0], target[1], source, blocked, set())


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocked = set(map(tuple, blocked))

		def inbounds(x, y):
			return x >= 0 and x < 10 ** 6 and (y >= 0) and (y < 10 ** 6)

		def dfs(x, y, target, seen):
			if (x, y) in blocked or not inbounds(x, y) or (x, y) in seen:
				return False
			seen.add((x, y))
			if len(seen) > 200 * 199 / 2 or [x, y] == target:
				return True
			return dfs(x + 1, y, target, seen) or dfs(x - 1, y, target, seen) or dfs(x, y + 1, target, seen) or dfs(x, y - 1, target, seen)
			if not (0 <= x < 10 ** 6 and 0 <= y < 10 ** 6) or (x, y) in blocked or (x, y) in seen:
				return False
		return dfs(source[0], source[1], target, set()) and dfs(target[0], target[1], source, set())


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:

		def bfs(source, target):
			(r0, c0) = source
			(rd, cd) = target
			seen = {(r0, c0)}
			dq = deque([(r0, c0)])
			N = 10 ** 6
			cnt = 0
			while dq:
				(r, c) = dq.popleft()
				cnt += 1
				if r == rd and c == cd or cnt > 19900:
					return True
				for (ro, co) in [(1, 0), (-1, 0), (0, 1), (0, -1)]:
					(nr, nc) = (r + ro, c + co)
					if 0 <= nr < N and 0 <= nc < N and ((nr, nc) not in seen) and ((nr, nc) not in bset):
						seen.add((nr, nc))
						dq.append((nr, nc))
			return False
		bset = {tuple(b) for b in blocked}
		return bfs(source, target) and bfs(target, source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		q1 = [tuple(source)]
		q2 = [tuple(target)]
		vis1 = set([tuple(source)])
		vis2 = set([tuple(target)])
		blocked = set([tuple(b) for b in blocked])
		dirs = [[-1, 0], [1, 0], [0, -1], [0, 1]]

		def valid(r, c):
			if r >= 0 and r < 1000000 and (c >= 0) and (c < 1000000):
				return True
			return False
		while q1 and q2:
			if len(q1) > len(blocked) and len(q2) > len(blocked):
				return True
			temp = []
			for (r, c) in q1:
				if (r, c) in vis2:
					return True
				for d in dirs:
					nr = r + d[0]
					nc = c + d[1]
					if valid(nr, nc):
						if (nr, nc) not in vis1 and (nr, nc) not in blocked:
							temp.append((nr, nc))
							vis1.add((nr, nc))
			q1 = temp
			temp = []
			for (r, c) in q2:
				if (r, c) in vis1:
					return True
				for d in dirs:
					nr = r + d[0]
					nc = c + d[1]
					if valid(nr, nc):
						if (nr, nc) not in vis2 and (nr, nc) not in blocked:
							temp.append((nr, nc))
							vis2.add((nr, nc))
			q2 = temp
		return False


from collections import deque

class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		if not blocked or not blocked[0]:
			return True
		blocked = set(map(tuple, blocked))
		print(blocked)
		return self.bfs(tuple(source), tuple(target), blocked) and self.bfs(tuple(target), tuple(source), blocked)

	def bfs(self, source, target, blocked):
		directions = [(1, 0), (-1, 0), (0, 1), (0, -1)]
		queue = deque([source])
		visited = set([source])
		while queue:
			(x, y) = queue.popleft()
			for (dx, dy) in directions:
				(x_, y_) = (x + dx, y + dy)
				if 0 <= x_ < 10 ** 6 and 0 <= y_ < 10 ** 6 and ((x_, y_) not in visited) and ((x_, y_) not in blocked):
					if x_ == target[0] and y_ == target[1]:
						return True
					queue.append((x_, y_))
					visited.add((x_, y_))
			if len(visited) > 20000:
				return True
		return False


class Solution:

	def isEscapePossible(self, blocked, source, target):
		blocked = set(map(tuple, blocked))
		source = tuple(source)
		target = tuple(target)

		def neighbors(node):
			(i, j) = node
			return ((i + di, j + dj) for (di, dj) in [(-1, 0), (1, 0), (0, -1), (0, 1)] if 0 <= i + di < 10 ** 6 if 0 <= j + dj < 10 ** 6 if (i + di, j + dj) not in blocked)

		def mhat_dist(node0, node1):
			(i0, j0) = node0
			(i1, j1) = node1
			return abs(i0 - i1) + abs(j0 - j1)
		stack = [source]
		visited = {source}
		exceeded_threshold = False
		while stack:
			node = stack.pop()
			if node == target:
				return True
			if mhat_dist(source, node) > 200:
				exceeded_threshold = True
				break
			new_nodes = set(neighbors(node)) - visited
			visited.update(new_nodes)
			stack.extend(new_nodes)
		if not exceeded_threshold:
			return False
		stack = [target]
		visited = {target}
		while stack:
			node = stack.pop()
			if mhat_dist(source, node) > 200:
				return True
			new_nodes = set(neighbors(node)) - visited
			visited.update(new_nodes)
			stack.extend(new_nodes)
		return False


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		if not blocked:
			return True
		(M, N) = (10 ** 6, 10 ** 6)
		blocked = set(map(tuple, blocked))

		def bfs(src, tgt):
			q = collections.deque([tuple(src)])
			k = 0
			seen = set(tuple(src))
			while q:
				(i, j) = q.popleft()
				k += 1
				if [i, j] == tgt or k == 20000:
					return True
				for (x, y) in [(i - 1, j), (i + 1, j), (i, j - 1), (i, j + 1)]:
					if 0 <= x < M and 0 <= y < N and ((x, y) not in seen) and ((x, y) not in blocked):
						seen.add((x, y))
						q.append((x, y))
			return False
		return bfs(source, target) and bfs(target, source)


from collections import deque

class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		if not blocked:
			return True
		blocked = set((tuple(b) for b in blocked))

		def util(source, target):
			(si, sj) = source
			(ti, tj) = target
			step = 0
			q = deque([(si, sj)])
			seen = {(si, sj)}
			while q:
				step += 1
				if step == len(blocked):
					return True
				for _ in range(len(q)):
					(i, j) = q.popleft()
					if i == ti and j == tj:
						return True
					for (r, c) in [(i - 1, j), (i, j + 1), (i + 1, j), (i, j - 1)]:
						if 0 <= r < 1000000 and 0 <= c < 1000000 and ((r, c) not in blocked) and ((r, c) not in seen):
							seen.add((r, c))
							q.append((r, c))
			return False
		return util(source, target) and util(target, source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		if not blocked:
			return True
		blocked = set(map(tuple, blocked))

		def bfs(start: list, final: list):
			(seen, stack) = ({tuple(start)}, [start])
			for (x, y) in stack:
				for (nx, ny) in ((x - 1, y), (x + 1, y), (x, y - 1), (x, y + 1)):
					if 0 <= nx < 10 ** 6 and 0 <= ny < 10 ** 6 and ((nx, ny) not in seen) and ((nx, ny) not in blocked):
						if [nx, ny] == final:
							return True
						seen.add((nx, ny))
						stack.append((nx, ny))
				if len(stack) == 20000:
					return True
			return False
		return bfs(source, target) and bfs(target, source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocked = {tuple(p) for p in blocked}
		direction = [[0, 1], [0, -1], [1, 0], [-1, 0]]

		def bfs(source, target):
			(bfs, seen) = ([source], {tuple(source)})
			for (x0, y0) in bfs:
				for (i, j) in direction:
					(x, y) = (x0 + i, y0 + j)
					if 0 <= x < 10 ** 6 and 0 <= y < 10 ** 6 and ((x, y) not in seen) and ((x, y) not in blocked):
						if [x, y] == target:
							return True
						bfs.append([x, y])
						seen.add((x, y))
				if len(bfs) == 20000:
					return True
			return False
		return bfs(source, target) and bfs(target, source)

class Solution_:

	def isEscapePossible_(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		queue = collections.deque()
		direction = [[0, 1], [0, -1], [1, 0], [-1, 0]]
		queue.append(source)
		s = set()
		for (i, j) in blocked:
			s.add((i, j))
		while queue:
			(x, y) = queue.popleft()
			if [x, y] == target:
				return True
			for (xx, yy) in direction:
				if x + xx >= 0 and x + xx < 10 ** 6 and (y + yy >= 0) and (y + yy < 10 ** 6) and ((x + xx, y + yy) not in s):
					queue.append([x + xx, y + yy])
					s.add((x + xx, y + yy))
		return False


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocked = {tuple(i) for i in blocked}

		def bfs(source, target):
			que = [source]
			seen = {tuple(source)}
			for (x, y) in que:
				for (i, j) in [(0, 1), (1, 0), (-1, 0), (0, -1)]:
					(m, n) = (x + i, y + j)
					if 0 <= m < 10 ** 6 and 0 <= n < 10 ** 6 and ((m, n) not in seen) and ((m, n) not in blocked):
						if m == target[0] and n == target[1]:
							return True
						que.append((m, n))
						seen.add((m, n))
					if len(que) >= 20000:
						return True
			return False
		return bfs(source, target) and bfs(target, source)


class Solution:

	def isEscapePossible(self, blocked: List[List[int]], source: List[int], target: List[int]) -> bool:
		blocked = set(map(tuple, blocked))
		dirs = [(0, 1), (1, 0), (0, -1), (-1, 0)]

		def bfs(s, t):
			bfsQ = [tuple(s)]
			visited = {tuple(s)}
			areaSum = 0
			for (x, y) in bfsQ:
				for (i, j) in dirs:
					r = x + i
					c = y + j
					if 0 <= r < 10 ** 6 and 0 <= c < 10 ** 6 and ((r, c) not in visited) and ((r, c) not in blocked):
						if (r, c) == tuple(t):
							return True
						bfsQ.append((r, c))
						visited.add((r, c))
				if len(bfsQ) >= 20000:
					return True
			return False
		return bfs(source, target) and bfs(target, source)