code: def test_get_available_components(self):
      # Target type
      for target_type, num_values in [
          ("classification", 15),
          ("regression", 14),
      ]:
          data_properties = {"target_type": target_type}
  
          available_components = fp.FeaturePreprocessorChoice(
              data_properties
          ).get_available_components(data_properties)
  
          self.assertEqual(len(available_components), num_values)
  
      # Multiclass
      data_properties = {
          "target_type": "classification",
          "multiclass": True,
      }
      available_components = fp.FeaturePreprocessorChoice(
          data_properties
      ).get_available_components(data_properties)
  
      self.assertEqual(len(available_components), 15)
  
      # Multilabel
      data_properties = {
          "target_type": "classification",
          "multilabel": True,
      }
      available_components = fp.FeaturePreprocessorChoice(
          data_properties
      ).get_available_components(data_properties)
  
      self.assertEqual(len(available_components), 12)
  
imports: import autosklearn.pipeline.components.feature_preprocessing
  import unittest
label_desc: Use image node_id 1 for calling the FeatureProcessingTest obj's underlying member method code with example usage: obj.test_get_available_components() without return types