<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def _conflicted_data_points(L):
 """Returns an indicator vector where ith element = 1 if x_i is labeled by at least two LFs that give it disagreeing labels."""

    m = sparse.diags(np.ravel(L.max(axis=1).todense()))
    return np.ravel(np.max(m @ (L != 0) != L, axis=1).astype(int).todense())