행렬 2개가 주어졌을 때 곱할 수 있는 행렬인지 확인하고 곱할 수 있다면 그 결과를 출력하고, 곱할 수 없다면 -1을 출력하는 프로그램을 만들어주세요.

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

**입력**
a = [[1, 2],
		[2, 4]]

b = [[1, 0],
		[0, 3]]

**출력
[**[1, 6], [2, 12]]