code: def check_output_dim(labels, y):
      if y is not None:
          check_unique_type(y)
          valid_labels = unique_labels(y)
          if not set(valid_labels).issubset(set(labels)):
              raise ValueError(
                  f"""Valid set -- {set(valid_labels)} --
                               contains unkown targets from training --
                               {set(labels)}"""
              )
      return
  
imports: from collections.abc import Sequence
  from itertools import chain
  from scipy.sparse import issparse
  from scipy.sparse.base import spmatrix
  from scipy.sparse import dok_matrix
  from scipy.sparse import lil_matrix
  import scipy.sparse
  import numpy
  import pandas
label_desc: Use image node_id 12 for calling a global function with example usage: check_output_dim(labels, y) without return types