code: def _pd_tschuprows_t_matrix(matrix):
      num_variables = matrix.shape[1]
      tschuprows_t_matrix_value = torch.ones(
          num_variables, num_variables
      )
      for i, j in itertools.combinations(range(num_variables), 2):
          x, y = matrix[:, i], matrix[:, j]
          tschuprows_t_matrix_value[i, j] = tschuprows_t_matrix_value[
              j, i
          ] = _pd_tschuprows_t(x, y)
      return tschuprows_t_matrix_value
  
file_path: torchmetrics/tests/unittests/nominal/test_tschuprows.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.tschuprows import tschuprows_t, tschuprows_t_matrix
  from torchmetrics.nominal.tschuprows import TschuprowsT
  from unittests import BATCH_SIZE, NUM_BATCHES, _Input
  from unittests.helpers.testers import MetricTester
label_desc: Use image node_id 3 for calling a global function with example usage: _pd_tschuprows_t_matrix(matrix) and returns: tschuprows_t_matrix_value