code: def setUp(self):
      if (
          os.getenv("UNLOCK_SEED") is None
          or os.getenv("UNLOCK_SEED").lower() == "false"
      ):
          self.rng_state = torch.get_rng_state()
          torch.manual_seed(1)
          if torch.cuda.is_available():
              torch.cuda.manual_seed_all(1)
          random.seed(1)
  
imports: import math
  import os
  import random
  import unittest
  import torch
  from linear_operator.operators import DiagLinearOperator, KroneckerProductLinearOperator
  from gpytorch.distributions import MultitaskMultivariateNormal, MultivariateNormal
  from gpytorch.test.base_test_case import BaseTestCase
  from gpytorch.test.utils import least_used_cuda_device
label_desc: Use image node_id 1 for calling the TestMultiTaskMultivariateNormal obj's underlying member method code with example usage: obj.setUp() without return types