code: def test_clamper(self):
      with self.assertRaises(ValueError):
          clamper = Clamper(1.0, 0.0)
      list_value = [-1.1, 0.9, 0.0, 1.1, -0.9]
      tensor_value = torch.tensor(list_value)
      array_value = np.array(list_value)
      clamper = Clamper()
      self.assertEqual(clamper(list_value), list_value)
      self.assertTrue(torch.equal(clamper(tensor_value), tensor_value))
      self.assertTrue(np.array_equal(clamper(array_value), array_value))
      clamper = Clamper(-1.0, 1.0)
      self.assertEqual(clamper(list_value), [-1.0, 0.9, 0.0, 1.0, -0.9])
      self.assertTrue(
          torch.equal(
              clamper(tensor_value),
              torch.tensor([-1.0, 0.9, 0.0, 1.0, -0.9]),
          )
      )
      self.assertTrue(
          np.array_equal(
              clamper(array_value),
              np.array([-1.0, 0.9, 0.0, 1.0, -0.9]),
          )
      )
  
file_path: ReAgent/reagent/ope/test/unit_tests/test_utils.py
imports: import unittest
  import numpy
  import torch
  from reagent.ope.utils import Clamper, RunningAverage
label_desc: Use image node_id 2 for calling the TestUtils obj's underlying member method code with example usage: obj.test_clamper() without return types