code: def test_bad_input_executes(self):
      # Test that if input to encode is outside of the expected range, everything
      # still executes, but the result is not correct.
      x = np.array([2**9] * 5).astype(np.int32)
      stage = stages_impl.BitpackingEncodingStage(8)
      test_data = self.run_one_to_many_encode_decode(
          stage, lambda: tf.constant(x, tf.float32)
      )
      self.assertNotAllClose(x, test_data.decoded_x.astype(np.int32))
  
imports: import itertools
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.stages import stages_impl
  from tensorflow_model_optimization.python.core.internal.tensor_encoding.testing import test_utils
label_desc: Use image node_id 8 for calling the BitpackingEncodingStageTest obj's underlying member method code with example usage: obj.test_bad_input_executes() without return types