code: def test_base_test_problem(self):
      for dtype in (torch.float, torch.double):
          problem = DummyTestProblem()
          self.assertIsNone(problem.noise_std)
          self.assertFalse(problem.negate)
          bnds_expected = torch.tensor(
              [(0, 2), (1, 3)], dtype=torch.float
          )
          self.assertTrue(torch.equal(problem.bounds, bnds_expected))
          problem = problem.to(device=self.device, dtype=dtype)
          bnds_expected = bnds_expected.to(
              device=self.device, dtype=dtype
          )
          self.assertTrue(torch.equal(problem.bounds, bnds_expected))
          X = torch.rand(2, 2, device=self.device, dtype=dtype)
          Y = problem(X)
          self.assertAllClose(Y, -X.pow(2).sum(dim=-1))
          problem = DummyTestProblem(negate=True, noise_std=0.1)
          self.assertEqual(problem.noise_std, 0.1)
          self.assertTrue(problem.negate)
  
file_path: botorch/test/test_functions/test_base.py
imports: import torch
  from botorch.test_functions.base import BaseTestProblem, ConstrainedBaseTestProblem
  from botorch.utils.testing import BotorchTestCase
  from torch import Tensor
label_desc: Use image node_id 1 for calling the TestBaseTestProblems obj's underlying member method code with example usage: obj.test_base_test_problem() without return types