class_docstr: Test class for `PearsonsContingencyCoefficient` metric.
class_docstr_tok: ["Test","class","for","`","PearsonsContingencyCoefficient","`","metric","."]
docstr: Test functional implementation of metric.
docstr_tok: ["Test","functional","implementation","of","metric","."]
code: def test_pearsons_t_functional(self, preds, target):
      """Test functional implementation of metric."""
      self.run_functional_metric_test(
          preds,
          target,
          metric_functional=pearsons_contingency_coefficient,
          reference_metric=_pd_pearsons_t,
      )
  
file_path: torchmetrics/tests/unittests/nominal/test_pearson.py
imports: import itertools
  import operator
  import pandas
  import pytest
  import torch
  from lightning_utilities.core.imports import compare_version
  from scipy.stats.contingency import association
  from torchmetrics.functional.nominal.pearson import pearsons_contingency_coefficient, pearsons_contingency_coefficient_matrix
  from torchmetrics.nominal.pearson import PearsonsContingencyCoefficient
  from unittests import BATCH_SIZE, NUM_BATCHES, _Input
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 2 for calling the TestPearsonsContingencyCoefficient obj's underlying member method code with example usage: obj.test_pearsons_t_functional(preds, target) without return types