code: def test_lmnn(self):
      def_kwargs = {
          "convergence_tol": 0.001,
          "init": "auto",
          "n_neighbors": 3,
          "learn_rate": 1e-07,
          "max_iter": 1000,
          "min_iter": 50,
          "n_components": None,
          "preprocessor": None,
          "random_state": None,
          "regularization": 0.5,
          "verbose": False,
      }
      nndef_kwargs = {"convergence_tol": 0.01, "n_neighbors": 6}
      merged_kwargs = sk_repr_kwargs(def_kwargs, nndef_kwargs)
      self.assertEqual(
          remove_spaces(
              str(
                  metric_learn.LMNN(convergence_tol=0.01, n_neighbors=6)
              )
          ),
          remove_spaces(f"LMNN({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 2 for calling the TestStringRepr obj's underlying member method code with example usage: obj.test_lmnn() without return types