A15_특정 거리의 도시 찾기
from collections import deque
n, m, k, x = map(int, input().split())
graph = [[] for _ in range(n + 1)]
for _ in range(m):
a, b = map(int, input().split())
graph[a].append(b)
distance = [-1] * (n + 1)
distance[x] = 0
q = deque([x])
while q:
now = q.popleft()
for next_node in graph[now]:
if distance[next_node] == -1:
distance[next_node] = distance[now] + 1
q.append(next_node)
check = False
for i in range(1, n+1):
if distance[i] == k:
print(i)
check = True
if check == False:
print(-1)
A16_연구소
n, m = map(int, input().split())
data = []
temp = [[0] * m for _ in range(n)]
for _ in range(n):
data.append(list(map(int, input().split())))
dx = [-1, 0, 1, 0]
dy = [0, 1, 0, -1]
result = 0
def virus(x, y):
for i in range(4):
nx = x + dx[i]
ny = y + dy[i]
if nx >= 0 and nx < n and ny >= 0 and ny < m:
if temp[nx][ny] == 0:
temp[nx][ny] = 2
virus(nx, ny)
def get_score():
score = 0
for i in range(n):
for j in range(m):
if temp[i][j] == 0:
score += 1
return score
def dfs(count):
global result
if count == 3:
for i in range(n):
for j in range(m):
temp[i][j] = data[i][j]
for i in range(n):
for j in range(m):
if temp[i][j] == 2:
virus(i, j)
result = max(result, get_score())
return
for i in range(n):
for j in range(m):
if data[i][j] == 0:
data[i][j] = 1
count += 1
dfs(count)
data[i][j] = 0
count -= 1
dfs(0)
print(result)
A17_경쟁적전염
from collections import deque
n, k = map(int, input().split())
graph = []
data =[]
for i in range(n):
graph.append(list(map(int, input().split())))
for j in range(n):
if graph[i][j] != 0:
data.append((graph[i][j], 0, i, j))
data.sort()
q = deque(data)
target_s, target_x, target_y = map(int, input().split())
dx = [-1, 0, 1, 0]
dy = [0, 1, 0, -1]
while q:
virus, s, x, y = q.popleft()
if s == target_s:
break
for i in range(4):
nx = x + dx[i]
ny = y + dy[i]
if nx >= 0 and nx < n and ny >= 0 ny < n:
if graph[nx][ny] == 0:
graph[nx][ny] = virus
q.append((virus, s + 1, nx, ny))
print(graph[target_x - 1][target_y - 1])