code: def parse_reverse_layer(
      keras_layer, input_names, input_shapes, data_reader
  ):
      layer = {}
      layer["class_name"] = "HReverse"
      layer["name"] = keras_layer["config"]["name"]
      layer["n_in"] = input_shapes[0][1]
  
      if input_names is not None:
          layer["inputs"] = input_names
  
      return layer, [shape for shape in input_shapes[0]]
  
imports: from pathlib import Path
  import numpy
  import pytest
  import tensorflow
  import hls4ml
label_desc: Use image node_id 1 for calling a global function with example usage: parse_reverse_layer(keras_layer, input_names, input_shapes, data_reader) and returns: layer,  unknown