code: def __getitem__(self, idx):
      if torch.is_tensor(idx):
          idx = idx.tolist()
  
      return {"data": self.data[idx], "target": self.y[idx]}
  
file_path: labml/samples/stocks/dataset.py
imports: import numpy
  import torch
  from labml import monit, lab
  from labml import tracker
  from torch.utils.data import Dataset
  from stocks import CandleIdx
  from stocks.build_numpy_cache import build_cache
label_desc: Use image node_id 3 for calling the MinutelyDataset obj's underlying member method code with example usage: obj.__getitem__(idx) and returns: dict