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python-for-coding-test/9/5.java at master · ghlrobin/python-for-coding-test · GitHub
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ghlrobin
python-for-coding-test
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9
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5.java
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master
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python-for-coding-test
/
9
/
5.java
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import
java
.
util
.*;
class
Node
implements
Comparable
<
Node
> {
private
int
index
;
private
int
distance
;
public
Node
(
int
index
,
int
distance
) {
this
.
index
=
index
;
this
.
distance
=
distance
;
}
public
int
getIndex
() {
return
this
.
index
;
}
public
int
getDistance
() {
return
this
.
distance
;
}
// 거리(비용)가 짧은 것이 높은 우선순위를 가지도록 설정
@
Override
public
int
compareTo
(
Node
other
) {
if
(
this
.
distance
<
other
.
distance
) {
return
-
1
;
}
return
1
;
}
}
public
class
Main
{
public
static
final
int
INF
= (
int
)
1e9
;
// 무한을 의미하는 값으로 10억을 설정
// 노드의 개수(N), 간선의 개수(M), 시작 노드 번호(Start)
public
static
int
n
,
m
,
start
;
// 각 노드에 연결되어 있는 노드에 대한 정보를 담는 배열
public
static
ArrayList
<
ArrayList
<
Node
>>
graph
=
new
ArrayList
<
ArrayList
<
Node
>>();
// 최단 거리 테이블 만들기
public
static
int
[]
d
=
new
int
[
30001
];
public
static
void
dijkstra
(
int
start
) {
PriorityQueue
<
Node
>
pq
=
new
PriorityQueue
<>();
// 시작 노드로 가기 위한 최단 경로는 0으로 설정하여, 큐에 삽입
pq
.
offer
(
new
Node
(
start
,
0
));
d
[
start
] =
0
;
while
(!
pq
.
isEmpty
()) {
// 큐가 비어있지 않다면
// 가장 최단 거리가 짧은 노드에 대한 정보 꺼내기
Node
node
=
pq
.
poll
();
int
dist
=
node
.
getDistance
();
// 현재 노드까지의 비용
int
now
=
node
.
getIndex
();
// 현재 노드
// 현재 노드가 이미 처리된 적이 있는 노드라면 무시
if
(
d
[
now
] <
dist
)
continue
;
// 현재 노드와 연결된 다른 인접한 노드들을 확인
for
(
int
i
=
0
;
i
<
graph
.
get
(
now
).
size
();
i
++) {
int
cost
=
d
[
now
] +
graph
.
get
(
now
).
get
(
i
).
getDistance
();
// 현재 노드를 거쳐서, 다른 노드로 이동하는 거리가 더 짧은 경우
if
(
cost
<
d
[
graph
.
get
(
now
).
get
(
i
).
getIndex
()]) {
d
[
graph
.
get
(
now
).
get
(
i
).
getIndex
()] =
cost
;
pq
.
offer
(
new
Node
(
graph
.
get
(
now
).
get
(
i
).
getIndex
(),
cost
));
}
}
}
}
public
static
void
main
(
String
[]
args
) {
Scanner
sc
=
new
Scanner
(
System
.
in
);
n
=
sc
.
nextInt
();
m
=
sc
.
nextInt
();
start
=
sc
.
nextInt
();
// 그래프 초기화
for
(
int
i
=
0
;
i
<=
n
;
i
++) {
graph
.
add
(
new
ArrayList
<
Node
>());
}
// 모든 간선 정보를 입력받기
for
(
int
i
=
0
;
i
<
m
;
i
++) {
int
x
=
sc
.
nextInt
();
int
y
=
sc
.
nextInt
();
int
z
=
sc
.
nextInt
();
// X번 노드에서 Y번 노드로 가는 비용이 Z라는 의미
graph
.
get
(
x
).
add
(
new
Node
(
y
,
z
));
}
// 최단 거리 테이블을 모두 무한으로 초기화
Arrays
.
fill
(
d
,
INF
);
// 다익스트라 알고리즘을 수행
dijkstra
(
start
);
// 도달할 수 있는 노드의 개수
int
count
=
0
;
// 도달할 수 있는 노드 중에서, 가장 멀리 있는 노드와의 최단 거리
int
maxDistance
=
0
;
for
(
int
i
=
1
;
i
<=
n
;
i
++) {
// 도달할 수 있는 노드인 경우
if
(
d
[
i
] !=
INF
) {
count
+=
1
;
maxDistance
=
Math
.
max
(
maxDistance
,
d
[
i
]);
}
}
// 시작 노드는 제외해야 하므로 count - 1을 출력
System
.
out
.
println
((
count
-
1
) +
" "
+
maxDistance
);
}
}
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