code: def test_value_at_axis():
      assert tu._value_at_axis("test_value", 0) == "test_value"
      assert tu._value_at_axis("test_value", 1) == "test_value"
      assert tu._value_at_axis(["a", "b", "c"], 0) == "a"
      assert tu._value_at_axis(["a", "b", "c"], 1) == "b"
      assert tu._value_at_axis(["a", "b", "c"], 2) == "c"
      assert tu._value_at_axis(("a", "b", "c"), 0) == "a"
      assert tu._value_at_axis(("a", "b", "c"), 1) == "b"
      assert tu._value_at_axis(("a", "b", "c"), 2) == "c"
      assert tu._value_at_axis(["test_value"], 3) == "test_value"
  
imports: import collections
  import numpy
  import pytest
  import torch
  from torch import tensor
  import torch.nn.functional
  from garage.envs import GymEnv, normalize
  from garage.experiment.deterministic import set_seed
  from garage.torch import as_torch_dict, compute_advantages, flatten_to_single_vector, global_device, pad_to_last, product_of_gaussians, set_gpu_mode, state_dict_to, torch_to_np
  import garage.torch._functions
  from garage.torch.policies import DeterministicMLPPolicy
  from tests.fixtures import TfGraphTestCase
label_desc: Use image node_id 9 for calling a global function with example usage: test_value_at_axis() without return types