code: def setUp(self):
      super(PruneDistributedTest, self).setUp()
      self.params = {
          "pruning_schedule": pruning_schedule.ConstantSparsity(
              0.5, 0, -1, 1
          ),
          "block_size": (1, 1),
          "block_pooling_type": "AVG",
      }
  
file_path: model-optimization/tensorflow_model_optimization/python/core/sparsity/keras/prune_distributed_test.py
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 pruning_callbacks
  from tensorflow_model_optimization.python.core.sparsity.keras import pruning_schedule
  from tensorflow_model_optimization.python.core.sparsity.keras import test_utils
label_desc: Use image node_id 1 for calling the PruneDistributedTest obj's underlying member method code with example usage: obj.setUp() without return types