code: def testDenseFeaturesDirectly(self):
      features = {
          "text_a": ["hello world", "pair-programming"],
          "text_b": ["hello world", "oov token"],
      }
      feature_columns = [
          hub.text_embedding_column_v2(
              "text_a", self.model, trainable=False
          ),
          hub.text_embedding_column_v2(
              "text_b", self.model, trainable=False
          ),
      ]
      feature_layer = keras.layers.DenseFeatures(feature_columns)
      feature_layer_out = feature_layer(features)
      self.assertAllEqual(
          feature_layer_out,
          [[1, 2, 3, 4, 1, 2, 3, 4], [5, 5, 5, 5, 0, 0, 0, 0]],
      )
  
imports: import logging
  import os
  import numpy
  import tensorflow.compat.v2
  import tensorflow_hub
  from tensorflow.python.feature_column import feature_column_v2
  from tensorflow.python.ops.lookup_ops import HashTable
  from tensorflow.python.ops.lookup_ops import KeyValueTensorInitializer
label_desc: Use image node_id 6 for calling the TextEmbeddingColumnTest obj's underlying member method code with example usage: obj.testDenseFeaturesDirectly() without return types