문제

문제 1491

[기초-비교연산][PY] 다리 작동 여부 확인하기 (!= 연산자)

시간 제한 1.000초 메모리 제한 128MB

문제 설명

어떤 마을의 다리에는 사람과 동물이 동시에 다리를 건널 수 없다는 규칙이 있다.
즉, 사람과 동물 중 하나가 다리를 건너려고 하면 다리가 무사히 작동하지만 둘이 동시에 다리를 건너려고 하면 다리는 작동하지 않는다.
아래의 표를 참고하여, 다리가 무사히 작동하는지 여부를 판단하는 프로그램을 작성해보자.
(단, 사람과 동물 모두 다리를 건너려고 하지 않는 경우에는 다리가 작동될 필요가 없기에 다리가 작동하지 않는다.)
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” alt=”” />

입력 설명

 사람의 다리 이용 여부를(0, 1)와 동물의 다리 이용 여부(0, 1)를 한 줄 씩 입력한다.

출력 설명

 다리가 무사히 작동한다면 True를 출력하고 다리가 작동하지 않는다면 False를 출력한다.

입력 예시

0
0

출력 예시

False

출처

코드익힘문제(PY) 비교연산