class_docstr: Test class for `MutualInfoScore` metric.
docstr: Test functional implementation of metric.
docstr_tok: ["Test","functional","implementation","of","metric","."]
code: def test_mutual_info_score_functional(self, preds, target):
      """Test functional implementation of metric."""
      self.run_functional_metric_test(
          preds=preds,
          target=target,
          metric_functional=mutual_info_score,
          reference_metric=sklearn_mutual_info_score,
      )
  
file_path: torchmetrics/tests/unittests/clustering/test_mutual_info_score.py
imports: import pytest
  import torch
  from sklearn.metrics import mutual_info_score
  from torchmetrics.clustering.mutual_info_score import MutualInfoScore
  from torchmetrics.functional.clustering.mutual_info_score import mutual_info_score
  from unittests import BATCH_SIZE, NUM_CLASSES
  from unittests.clustering.inputs import _float_inputs_extrinsic, _single_target_extrinsic1, _single_target_extrinsic2
  from unittests.helpers import seed_all
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 2 for calling the TestMutualInfoScore obj's underlying member method code with example usage: obj.test_mutual_info_score_functional(preds, target) without return types