code: def sample(self, batch_size: int) -> list:
      sampled_indices = np.random.choice(
          self.indices, batch_size, replace=False
      )
      return [self.dataset[idx] for idx in sampled_indices]
  
imports: import math
  import numpy
label_desc: Use image node_id 2 for calling the DistributedSampler obj's underlying member method code with example usage: obj.sample(batch_size) and returns: unknown