code: def test_lfda(self):
      def_kwargs = {
          "embedding_type": "weighted",
          "k": None,
          "n_components": None,
          "preprocessor": None,
      }
      nndef_kwargs = {"k": 2}
      merged_kwargs = sk_repr_kwargs(def_kwargs, nndef_kwargs)
      self.assertEqual(
          remove_spaces(str(metric_learn.LFDA(k=2))),
          remove_spaces(f"LFDA({merged_kwargs})"),
      )
  
imports: from numpy.core.numeric import array_equal
  import pytest
  import re
  import unittest
  import metric_learn
  import numpy
  from sklearn import clone
  from test.test_utils import ids_metric_learners, metric_learners, remove_y
  from metric_learn.sklearn_shims import set_random_state, SKLEARN_AT_LEAST_0_22
label_desc: Use image node_id 4 for calling the TestStringRepr obj's underlying member method code with example usage: obj.test_lfda() without return types