code: def setUp(self):
      super(PruningTest, self).setUp()
      self.block_size = (1, 1)
      self.block_pooling_type = "AVG"
  
      self.constant_sparsity = pruning_schedule.ConstantSparsity(
          0.5, 0, 100, 1
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.keras import compat
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_impl
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_schedule
label_desc: Use image node_id 1 for calling the PruningTest obj's underlying member method code with example usage: obj.setUp() without return types