class_docstr: Integration tests for clustering.
code: def setUp(self):
      super(ClusterIntegrationTest, self).setUp()
      self.params = {
          "number_of_clusters": 8,
      }
  
      self.x_train = np.array(
          [
              [0.0, 1.0, 2.0, 3.0, 4.0],
              [2.0, 0.0, 2.0, 3.0, 4.0],
              [0.0, 3.0, 2.0, 3.0, 4.0],
              [4.0, 1.0, 2.0, 3.0, 4.0],
              [5.0, 1.0, 2.0, 3.0, 4.0],
          ],
          dtype="float32",
      )
  
      self.y_train = np.array(
          [
              [0.0, 1.0, 2.0, 3.0, 4.0],
              [1.0, 0.0, 2.0, 3.0, 4.0],
              [1.0, 0.0, 2.0, 3.0, 4.0],
              [0.0, 1.0, 2.0, 3.0, 4.0],
              [0.0, 1.0, 2.0, 3.0, 4.0],
          ],
          dtype="float32",
      )
  
      self.x_test = np.array(
          [
              [1.0, 2.0, 3.0, 4.0, 5.0],
              [6.0, 7.0, 8.0, 9.0, 10.0],
              [1.0, 2.0, 3.0, 4.0, 5.0],
              [6.0, 1.0, 2.0, 3.0, 4.0],
              [9.0, 1.0, 0.0, 3.0, 0.0],
          ],
          dtype="float32",
      )
  
      self.x_train2 = np.array(
          [
              [0.0, 1.0, 2.0, 3.0, 4.0],
              [2.0, 0.0, 2.0, 3.0, 4.0],
              [0.0, 3.0, 2.0, 3.0, 4.0],
              [4.0, 1.0, 2.0, 3.0, 4.0],
              [5.0, 1.0, 2.0, 3.0, 4.0],
          ],
          dtype="float32",
      )
  
      self.y_train2 = np.array(
          [
              [0.0, 1.0, 2.0, 3.0, 4.0],
              [1.0, 0.0, 2.0, 3.0, 4.0],
              [1.0, 0.0, 2.0, 3.0, 4.0],
              [0.0, 1.0, 2.0, 3.0, 4.0],
              [0.0, 1.0, 2.0, 3.0, 4.0],
          ],
          dtype="float32",
      )
  
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 ClusterIntegrationTest obj's underlying member method code with example usage: obj.setUp() without return types