code: def __init__(self, size, length):
      self.len = length
      self.data = torch.randn(length, size)
  
file_path: pytorch-lightning/tests/tests_pytorch/trainer/dynamic_args/test_multiple_eval_dataloaders.py
imports: import pytest
  import torch
  from lightning.pytorch import Trainer
  from lightning.pytorch.demos.boring_classes import BoringModel
  from torch.utils.data import Dataset
label_desc: Use image node_id 1 to create a new RandomDatasetA object from inherited base classes: Dataset with example: obj = RandomDatasetA(size, length)