code: def setUp(self):
      self.model = keras.Sequential()
      self.params = {
          "pruning_schedule": pruning_schedule.ConstantSparsity(0.5, 0),
          "block_size": (1, 1),
          "block_pooling_type": "AVG",
      }
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_schedule
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_wrapper
label_desc: Use image node_id 1 for calling the PruningWrapperTest obj's underlying member method code with example usage: obj.setUp() without return types