code: def setUp(self):
      self.v = torch.tensor([3.0])
      self.vs = torch.tensor([[0.0], [1.0], [2.0], [3.0]])
      self.vs_expanded = self.vs.expand(4, 3)
      self.test_data = torch.tensor([[3.0], [3.0], [3.0]])
      self.batch_test_data_1 = (
          torch.arange(0.0, 4.0).unsqueeze(1).expand(4, 3)
      )
      self.batch_test_data_2 = (
          torch.arange(4.0, 8.0).unsqueeze(1).expand(4, 3)
      )
      self.batch_test_data_3 = torch.Tensor(
          [[3.0], [3.0], [3.0], [3.0]]
      )
      self.expected_support = [[[0.0], [1.0], [2.0], [3.0]]]
      self.expected_support_non_vec = [[3.0]]
      self.analytic_mean = 3.0
      self.analytic_var = 0.0
      self.n_samples = 10
  
file_path: gpytorch/test/distributions/test_delta.py
imports: import unittest
  import numpy
  import torch
  import gpytorch.distributions
  from gpytorch.test.base_test_case import BaseTestCase
label_desc: Use image node_id 1 for calling the TestDelta obj's underlying member method code with example usage: obj.setUp() without return types