code: def _filter_contradicted_instances(pos, neg):
      """
      Delete common instances in pos and neg
  
      Parameters
      ----------
      pos: const double[::1, :]
      neg: const double[::1, :]
  
      Returns
      -------
      const double[::1, :]
          New neg
      """
      feature_shape = np.shape(neg)[1]
      pos_set = set(map(tuple, pos))
      neg_set = set(map(tuple, neg))
      filtered_neg_set = neg_set.difference(pos_set)
      return (
          neg
          if len(filtered_neg_set) == len(neg_set)
          else np.array(list(map(list, filtered_neg_set))).reshape(
              -1, feature_shape
          )
      )
  
imports: import numpy
  import numba
label_desc: Use image node_id 1 for calling a global function with example usage: _filter_contradicted_instances(pos, neg) and returns: unknown