code: def __init__(self, size, length):
      self.len = length
      self.data = torch.randn(length, size)
  
imports: import os
  import re
  import pytest
  import pytorch_lightning
  import torch
  from pytorch_lightning import LightningModule, Trainer
  from pytorch_lightning.callbacks import ModelCheckpoint
  from pytorch_lightning.loggers.neptune import NeptuneLogger
  from torch.utils.data import DataLoader, Dataset
  import neptune
  from tests.e2e.base import BaseE2ETest
label_desc: Use image node_id 1 to create a new RandomDataset object from inherited base classes: Dataset with example: obj = RandomDataset(size, length)