code: def convert_sklearn_kneighbors_classification_model(
      operator, device, extra_config
  ):
      """
      Converter for `sklearn.neighbors.KNeighborsClassifier`
  
      Args:
          operator: An operator wrapping a `sklearn.neighbors.KNeighborsClassifier` model
          device: String defining the type of device the converted operator should be run on
          extra_config: Extra configuration used to select the best conversion strategy
  
      Returns:
          A PyTorch model
      """
      return _convert_kneighbors_model(
          operator, device, extra_config, True
      )
  
imports: import numpy
  from onnxconverter_common.registration import register_converter
  from hummingbird.ml.operator_converters._kneighbors_implementations import KNeighborsModel, MetricType
  from hummingbird.ml.operator_converters import constants
label_desc: Use image node_id 2 for calling a global function with example usage: convert_sklearn_kneighbors_classification_model(operator, device, extra_config) and returns: _convert_kneighbors_model