code: def build(self, hp, inputs=None):
      # Get the input_node from inputs.
      input_node = tf.nest.flatten(inputs)[0]
      layer = tf.keras.layers.Dense(
          hp.Int("num_units", min_value=32, max_value=512, step=32)
      )
      output_node = layer(input_node)
      return output_node
  
imports: import numpy
  import tensorflow
  from tensorflow.keras.datasets import mnist
  import autokeras
label_desc: Use image node_id 1 for calling the SingleDenseLayerBlock obj's underlying member method code with example usage: obj.build(hp, inputs) and returns: output_node