code: def test_itml(self):
      def_kwargs = {
          "tol": 0.001,
          "gamma": 1.0,
          "max_iter": 1000,
          "preprocessor": None,
          "prior": "identity",
          "random_state": None,
          "verbose": False,
      }
      nndef_kwargs = {"gamma": 0.5}
      merged_kwargs = sk_repr_kwargs(def_kwargs, nndef_kwargs)
      self.assertEqual(
          remove_spaces(str(metric_learn.ITML(gamma=0.5))),
          remove_spaces(f"ITML({merged_kwargs})"),
      )
      def_kwargs = {
          "tol": 0.001,
          "gamma": 1.0,
          "max_iter": 1000,
          "n_constraints": None,
          "preprocessor": None,
          "prior": "identity",
          "random_state": None,
          "verbose": False,
      }
      nndef_kwargs = {"n_constraints": 7}
      merged_kwargs = sk_repr_kwargs(def_kwargs, nndef_kwargs)
      self.assertEqual(
          remove_spaces(
              str(metric_learn.ITML_Supervised(n_constraints=7))
          ),
          remove_spaces(f"ITML_Supervised({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 5 for calling the TestStringRepr obj's underlying member method code with example usage: obj.test_itml() without return types