class_docstr: Integration tests for clustering RNN layers.
code: def setUp(self):
      super(ClusterRNNIntegrationTest, self).setUp()
      self.max_features = 10
      self.maxlen = 2
      self.batch_size = 32
      self.x_train = np.random.random((64, self.maxlen))
      self.y_train = np.random.randint(0, 2, (64,))
  
      self.params_clustering = {
          "number_of_clusters": 16,
      }
  
imports: import os
  import tempfile
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tensorflow_model_optimization.python.core.clustering.keras import cluster
  from tensorflow_model_optimization.python.core.clustering.keras import cluster_config
  from tensorflow_model_optimization.python.core.clustering.keras.experimental import cluster
label_desc: Use image node_id 1 for calling the ClusterRNNIntegrationTest obj's underlying member method code with example usage: obj.setUp() without return types