Statistics.sparse_zero_weights: Add dimension check

Author: pavlin-policar

Orange/statistics/util.py

@@ -52,6 +52,7 @@ def sparse_implicit_zero_weights(x, weights):
     x = x.tocsr()
 
     if weights.ndim == 1:
+        assert x.shape[1] == weights.shape[0], '`weight` shape does not match `x` shape.'
         n_items = np.prod(x.shape)
         zero_indices = np.setdiff1d(np.arange(n_items), x.indices, assume_unique=True)
         return weights[zero_indices]