code: def test_exclude_missing_targets_all_good(self):
      # training data
      d = {
          "col1": [1, 1, 1, 3],
          "col2": [5, 6, 7, 0],
          "col3": [1, 1, 1, 3],
          "col4": [2, 2, 4, 3],
          "y": [0, 1, 0, 1],
      }
      df = pd.DataFrame(data=d)
      X_train = df.loc[:, ["col1", "col2", "col3", "col4"]]
      y_train = df.loc[:, "y"]
  
      ps = Preprocessing()
      X_train, y_train = ps._exclude_missing_targets(X_train, y_train)
  
      self.assertEqual(4, X_train.shape[0])
      self.assertEqual(4, y_train.shape[0])
  
imports: import json
  import copy
  import unittest
  import tempfile
  import numpy
  import pandas
  import uuid
  from supervised.preprocessing.preprocessing_missing import PreprocessingMissingValues
  from supervised.preprocessing.preprocessing_categorical import PreprocessingCategorical
  from supervised.preprocessing.preprocessing import Preprocessing
label_desc: Use image node_id 2 for calling the PreprocessingTest obj's underlying member method code with example usage: obj.test_exclude_missing_targets_all_good() without return types