code: def test_getitem(self):
      n_batch = 7
      ndim_action = 3
      mu = np.random.randn(n_batch, ndim_action).astype(np.float32)
      mat = np.broadcast_to(
          np.eye(ndim_action, dtype=np.float32)[None],
          (n_batch, ndim_action, ndim_action),
      )
      v = np.random.randn(n_batch).astype(np.float32)
      min_action, max_action = -1, 1
      qout = action_value.QuadraticActionValue(
          torch.tensor(mu),
          torch.tensor(mat),
          torch.tensor(v),
          min_action,
          max_action,
      )
      sliced = qout[:3]
      torch_assert_allclose(sliced.mu, mu[:3])
      torch_assert_allclose(sliced.mat, mat[:3])
      torch_assert_allclose(sliced.v, v[:3])
      torch_assert_allclose(sliced.min_action[0], min_action)
      torch_assert_allclose(sliced.max_action[0], max_action)
  
imports: import unittest
  import numpy
  import pytest
  import torch
  from pfrl import action_value
  from pfrl.testing import torch_assert_allclose
label_desc: Use image node_id 3 for calling the TestQuadraticActionValue obj's underlying member method code with example usage: obj.test_getitem() without return types