replica_seeds -> _replica_seeds

n3fit/src/n3fit/layers/preprocessing.py

@@ -47,7 +47,8 @@ def __init__(
                 "Trying to instantiate a preprocessing factor with no basis information"
             )
         self.flav_info = flav_info
-        self.replica_seeds = replica_seeds
+        # This variable contains the next seed to be used to generate weights
+        self._replica_seeds = replica_seeds
         self.large_x = large_x
         self.num_replicas = len(replica_seeds)
 
@@ -85,9 +86,9 @@ def generate_weight(self, name: str, kind: str, dictionary: dict, set_to_zero: b
             if trainable:
                 constraint = constraints.MinMaxWeight(minval, maxval)
 
-        initializer = MultiInitializer(single_replica_initializer, self.replica_seeds, base_seed=0)
+        initializer = MultiInitializer(single_replica_initializer, self._replica_seeds, base_seed=0)
         # increment seeds for the next coefficient
-        self.replica_seeds = [seed + 1 for seed in self.replica_seeds]
+        self._replica_seeds = [seed + 1 for seed in self._replica_seeds]
 
         # Generate the new trainable (or not) parameter
         newpar = self.builder_helper(