code: def rename_region(self, source_node):
      # print(source_node.layer)
      IR_node = self._convert_identity_operation(
          source_node, new_op="region"
      )
      kwargs = {}
      kwargs["thresh"] = source_node.get_attr("thresh")
      kwargs["random"] = source_node.get_attr("random")
      # kwargs['ignore_thresh'] = source_node.get_attr('ignore_thresh')
      kwargs["jitter"] = source_node.get_attr("jitter")
      kwargs["num"] = source_node.get_attr("num")
      kwargs["classes"] = source_node.get_attr("classes")
  
      kwargs["softmax"] = source_node.get_attr("softmax")
      kwargs["coords"] = source_node.get_attr("coords")
      kwargs["rescore"] = source_node.get_attr("rescore")
      # print(source_node.get_attr('anchors'))
      kwargs["anchors"] = source_node.get_attr("anchors")
      # kwargs['anchors'] = ['0.52','0.22']
      # kwargs['mask'] = source_node.get_attr('mask')
      kwargs["object_scale"] = source_node.get_attr("object_scale")
      kwargs["noobject_scale"] = source_node.get_attr("noobject_scale")
      kwargs["class_scale"] = source_node.get_attr("class_scale")
      kwargs["coord_scale"] = source_node.get_attr("coord_scale")
  
      kwargs["bias_match"] = source_node.get_attr("bias_match")
      kwargs["absolute"] = source_node.get_attr("absolute")
      assign_IRnode_values(IR_node, kwargs)
  
imports: import os
  import numpy
  from mmdnn.conversion.common.utils import *
  from mmdnn.conversion.darknet.prototxt import *
  from mmdnn.conversion.darknet.darknet_utils import *
  from mmdnn.conversion.darknet.darknet_graph import DarknetGraph
  import mmdnn.conversion.common.IR.graph_pb2
  from mmdnn.conversion.common.DataStructure.parser import Parser
  from mmdnn.conversion.common.IR.graph_pb2 import NodeDef, GraphDef, DataType
label_desc: Use image node_id 20 for calling the DarknetParser obj's underlying member method code with example usage: obj.rename_region(source_node) without return types