code: def test_compare_faces(self):
      img_a1 = api.load_image_file(
          os.path.join(
              os.path.dirname(__file__), "test_images", "obama.jpg"
          )
      )
      img_a2 = api.load_image_file(
          os.path.join(
              os.path.dirname(__file__), "test_images", "obama2.jpg"
          )
      )
      img_a3 = api.load_image_file(
          os.path.join(
              os.path.dirname(__file__), "test_images", "obama3.jpg"
          )
      )
  
      img_b1 = api.load_image_file(
          os.path.join(
              os.path.dirname(__file__), "test_images", "biden.jpg"
          )
      )
  
      face_encoding_a1 = api.face_encodings(img_a1)[0]
      face_encoding_a2 = api.face_encodings(img_a2)[0]
      face_encoding_a3 = api.face_encodings(img_a3)[0]
      face_encoding_b1 = api.face_encodings(img_b1)[0]
  
      faces_to_compare = [
          face_encoding_a2,
          face_encoding_a3,
          face_encoding_b1,
      ]
  
      match_results = api.compare_faces(
          faces_to_compare, face_encoding_a1
      )
  
      self.assertEqual(type(match_results), list)
      self.assertTrue(match_results[0])
      self.assertTrue(match_results[1])
      self.assertFalse(match_results[2])
  
imports: import unittest
  import os
  import numpy
  from click.testing import CliRunner
  from face_recognition import api
  from face_recognition import face_recognition_cli
  from face_recognition import face_detection_cli
label_desc: Use image node_id 19 for calling the Test_face_recognition obj's underlying member method code with example usage: obj.test_compare_faces() without return types