code: def _compute_bias_corrected_values(
      phi_squared: Tensor,
      num_rows: int,
      num_cols: int,
      confmat_sum: Tensor,
  ) -> Tuple[Tensor, Tensor, Tensor]:
      """Compute bias-corrected Phi Squared and number of rows and columns."""
      phi_squared_corrected = _compute_phi_squared_corrected(
          phi_squared, num_rows, num_cols, confmat_sum
      )
      rows_corrected, cols_corrected = _compute_rows_and_cols_corrected(
          num_rows, num_cols, confmat_sum
      )
      return phi_squared_corrected, rows_corrected, cols_corrected
  
file_path: torchmetrics/src/torchmetrics/functional/nominal/utils.py
imports: from typing import Optional, Tuple
  import torch
  from torch import Tensor
  from typing_extensions import Literal
  from torchmetrics.utilities.prints import rank_zero_warn
label_desc: Use image node_id 7 for calling a global function with example usage: _compute_bias_corrected_values(phi_squared, num_rows, num_cols, confmat_sum) and returns: phi_squared_corrected,  rows_corrected,  cols_corrected