code: def test_wrapper_class(metric, kwargs, base_metric=ExactMatch):
      """Test the wrapper class."""
      assert issubclass(base_metric, Metric)
      if metric is None:
          with pytest.raises(ValueError, match=r"Invalid *"):
              base_metric(**kwargs)
      else:
          instance = base_metric(**kwargs)
          assert isinstance(instance, metric)
          assert isinstance(instance, Metric)
  
imports: from functools import partial
  import numpy
  import pytest
  import torch
  from scipy.special import expit
  from torchmetrics.classification.exact_match import ExactMatch, MulticlassExactMatch, MultilabelExactMatch
  from torchmetrics.functional.classification.exact_match import multiclass_exact_match, multilabel_exact_match
  from torchmetrics.metric import Metric
  from unittests import NUM_CLASSES, THRESHOLD
  from unittests.classification.inputs import _multiclass_cases, _multilabel_cases
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester, inject_ignore_index
label_desc: Use image node_id 3 for calling a global function with example usage: test_wrapper_class(metric, kwargs, base_metric) without return types