code: def setUp(self):
      super().setUp()
      self.bounds = torch.zeros(2, 3, device=self.device)
      self.bounds[1] = 1
      self.A = torch.tensor(
          [
              [-1.0, 0.0, 0.0],
              [1.0, 0.0, 0.0],
              [0.0, -1.0, 0.0],
              [0.0, 0.0, -1.0],
              [0.0, 4.0, 1.0],
          ],
          device=self.device,
      )
      self.b = torch.tensor(
          [[0.0], [1.0], [0.0], [0.0], [1.0]], device=self.device
      )
      self.x0 = torch.tensor(
          [0.1, 0.1, 0.1], device=self.device
      ).unsqueeze(-1)
  
imports: from __future__ import annotations
  import itertools
  import warnings
  from typing import Any, Dict, Type
  from unittest import mock
  import numpy
  import torch
  from botorch.exceptions.errors import BotorchError
  from botorch.models.gp_regression import SingleTaskGP
  from botorch.sampling.pathwise import draw_matheron_paths
  from botorch.utils.sampling import _convert_bounds_to_inequality_constraints, batched_multinomial, DelaunayPolytopeSampler, draw_sobol_samples, find_interior_point, get_polytope_samples, HitAndRunPolytopeSampler, manual_seed, normalize_linear_constraints, optimize_posterior_samples, PolytopeSampler, sample_hypersphere, sample_simplex, sparse_to_dense_constraints
  from botorch.utils.testing import BotorchTestCase
label_desc: Use image node_id 1 for calling the PolytopeSamplerTestBase obj's underlying member method code with example usage: obj.setUp() without return types