code: def __init__(
      self,
      dp: IterDataPipe,
      smiles_key: str = "smiles",
      target_key: Optional[str] = None,
  ) -> None:
      super().__init__()
      self.dp = dp
      self.smiles_key = smiles_key
      self.target_key = target_key
  
imports: import copy
  from typing import Any, Callable, Iterator, Optional, Sequence
  import torch
  from torch_geometric.data import Batch
  from torch_geometric.utils import from_smiles
label_desc: Use image node_id 1 to create a new SMILESParser object from inherited base classes: IterDataPipe with example: obj = SMILESParser(dp, smiles_key, target_key)