code: def setUp(self) -> None:
      self.data_size = 100
      self.batch_size = 10
      self.dataset = [
          (torch.randn(10), torch.randn(10))
          for _ in range(self.data_size)
      ]
  
      self.sampler, self.dataloader = self._init_data(seed=7)
  
file_path: opacus/opacus/tests/poisson_test.py
imports: import unittest
  import numpy
  import torch
  from opacus.utils.uniform_sampler import UniformWithReplacementSampler
label_desc: Use image node_id 2 for calling the PoissonSamplingTest obj's underlying member method code with example usage: obj.setUp() without return types