how to efficiently filter a numpy array so that it contains rows contained in a second array

Question

eg. In reality, a has 100s thousands of rows

a = array([[0, 0, 0, 0, 0],
       [1, 0, 0, 0, 0],
       [1, 1, 0, 0, 1],
       [1, 1, 0, 0, 0],