code: def __init__(self, a: int, b: int, num_samples: int):
      self.a = a
      self.b = b
      self.num_samples = num_samples
  
imports: from typing import Any, Dict, Iterator, Optional, Tuple, Union
  import attrdict
  import deepspeed
  import deepspeed.runtime.dataloader
  import numpy
  import torch
  import determined.pytorch.deepspeed
  import tests.experiment.fixtures.pytorch_counter_callback
  from determined import pytorch
label_desc: Use image node_id 1 to create a new LinearDataset object from inherited base classes: torch.utils.data with example: obj = LinearDataset(a, b, num_samples)