code: def __init__(
      self,
      T: int,
      embed_static: Optional[FeatureEmbedder] = None,
      embed_dynamic: Optional[FeatureEmbedder] = None,
  ) -> None:
      super().__init__()
  
      self.T = T
      self.embeddings = nn.ModuleDict(
          {"embed_static": embed_static, "embed_dynamic": embed_dynamic}
      )
  
file_path: gluonts/src/gluonts/nursery/robust-mts-attack/pts/modules/feature.py
imports: from typing import List, Optional
  import torch
  import torch.nn
label_desc: Use image node_id 1 to create a new FeatureAssembler object from inherited base classes: nn with example: obj = FeatureAssembler(T, embed_static, embed_dynamic)