code: def setUp(self):
      super(PruneIntegrationTest, self).setUp()
      self.params = {
          "pruning_schedule": pruning_schedule.ConstantSparsity(
              0.5, 0, -1, 1
          ),
          # TODO(pulkitb): Add tests for block sparsity.
          "block_size": (1, 1),
          "block_pooling_type": "AVG",
      }
  
imports: import tempfile
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import test_utils
  from tensorflow_model_optimization.python.core.sparsity.keras import prune
  from tensorflow_model_optimization.python.core.sparsity.keras import prune_registry
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_callbacks
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_schedule
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_wrapper
  from tensorflow_model_optimization.python.core.sparsity.keras import test_utils
label_desc: Use image node_id 3 for calling the PruneIntegrationTest obj's underlying member method code with example usage: obj.setUp() without return types