code: def get_libmxnet_features(
      libmxnet_path: str,
  ) -> Optional[Dict[str, bool]]:
      """
      Returns a string -> boolean dictionary mapping feature name
      to whether it is enabled or not
      :param libmxnet_path: path to the libmxnet library
      :return: dictionary of features to whether they are enabled
      """
      logger.debug(
          "Getting feature dictionary from {}".format(libmxnet_path)
      )
  
      class Feature(ctypes.Structure):
          _fields_ = [
              ("_name", ctypes.c_char_p),
              ("enabled", ctypes.c_bool),
          ]
  
          @property
          def name(self):
              return self._name.decode()
  
      # we are not using the mxnet python bindings here because we cannot assume
      # they are present and in the python path, or that they would point to the
      # specified libmxnet.so. Therefore, we load the libmxnet.so library independently
      # to extract its features
      try:
          libmxnet = ctypes.CDLL(libmxnet_path, ctypes.RTLD_LOCAL)
      except Exception as e:
          logger.error(
              "Error loading {}. "
              "Please check check path to libmxnet library is correct.".format(
                  libmxnet_path
              )
          )
          logger.error(e)
          return None
  
      libmxnet.MXGetLastError.restype = ctypes.c_char_p
      feature_array = ctypes.POINTER(Feature)()
      feature_array_size = ctypes.c_size_t()
      if (
          libmxnet.MXLibInfoFeatures(
              ctypes.byref(feature_array),
              ctypes.byref(feature_array_size),
          )
          != 0
      ):
          logger.error(
              "Could not determine features from {}. "
              'Please specify the variant manually using the "--variant" argument.'.format(
                  libmxnet_path
              )
          )
          return None
      features = {
          feature_array[i].name: feature_array[i].enabled
          for i in range(feature_array_size.value)
      }
      logger.debug("Found features: {}".format(features))
      return features
  
imports: import argparse
  import ctypes
  import glob
  import logging
  import os
  import re
  import sys
  from itertools import chain
  from subprocess import CalledProcessError, check_output
  from typing import Dict, List, Optional
  import boto3
  import botocore.exceptions
  import yaml
label_desc: Use image node_id 10 for calling a global function with example usage: get_libmxnet_features(libmxnet_path) and returns: features, None, self, None