code: def get_ntype_featnames(ntype_name, schema_map):
      """
      Retrieves node feature names for a given node_type
  
      Parameters:
      -----------
      ntype_name : string
          a string specifying a node_type name
  
      schema : dictionary
          metadata json object as a dictionary, which is read from the input
          metadata file from the input dataset
  
      Returns:
      --------
      list :
          a list of feature names for a given node_type
      """
      node_data = schema_map[constants.STR_NODE_DATA]
      feats = node_data.get(ntype_name, {})
      return [feat for feat in feats]
  
imports: import json
  import logging
  import os
  from itertools import cycle
  import constants
  import dgl
  import numpy
  import psutil
  import pyarrow
  import torch
  from dgl.distributed.partition import _dump_part_config
  from pyarrow import csv
label_desc: Use image node_id 4 for calling a global function with example usage: get_ntype_featnames(ntype_name, schema_map) and returns: unknown