code: def read_config_file(config_path):
      config = configparser.ConfigParser()
  
      with open(config_path, "r") as file:
          config.read_file(file)
  
      assert (
          "anchor_parameters" in config
      ), "Malformed config file. Verify that it contains the anchor_parameters section."
  
      config_keys = set(config["anchor_parameters"])
      default_keys = set(AnchorParameters.default.__dict__.keys())
  
      assert (
          config_keys <= default_keys
      ), "Malformed config file. These keys are not valid: {}".format(
          config_keys - default_keys
      )
  
      if "pyramid_levels" in config:
          assert (
              "levels" in config["pyramid_levels"]
          ), "pyramid levels specified by levels key"
  
      return config
  
imports: import configparser
  import numpy
  from tensorflow import keras
  from ..utils.anchors import AnchorParameters
label_desc: Use image node_id 1 for calling a global function with example usage: read_config_file(config_path) and returns: config