code: def test_covariance(self):
      def_kwargs = {"preprocessor": None}
      nndef_kwargs = {}
      merged_kwargs = sk_repr_kwargs(def_kwargs, nndef_kwargs)
      self.assertEqual(
          remove_spaces(str(metric_learn.Covariance())),
          remove_spaces(f"Covariance({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 1 for calling the TestStringRepr obj's underlying member method code with example usage: obj.test_covariance() without return types