code: def _check_weights(weights):
      """Check to make sure weights are valid"""
      if weights in (None, "uniform", "distance"):
          return weights
      elif callable(weights):
          return weights
      else:
          raise ValueError(
              "weights not recognized: should be 'uniform', 'distance', or a callable function"
          )
  
imports: import logging
  import numpy
  from pandas import DataFrame
  from scipy.stats import mode
  from sklearn.utils.extmath import weighted_mode
  from autogluon.common.utils.try_import import try_import_faiss
label_desc: Use image node_id 1 for calling a global function with example usage: _check_weights(weights) and returns: weights, weights