score_dual function - purpose of m ?

[mglowacki100]

1. I've looked at the function:

   def score_dual(X, q=1, normalize=True):
   if normalize:
       X = preprocessing.normalize(X, axis=1)
   n = X.shape[0]
   S = X.T @ X
   w = scipy.linalg.eigvalsh(S / n)
   m = w > 0
   return np.exp(entropy_q(w, q=q))

   from https://github.com/vertaix/Vendi-Score/blob/main/vendi_score/vendi.py, what is a purpose of line m = w > 0

2. Does it make sense to use score_dual for calculation ensemble diversity ?