code: def _jaccard(a_rows, a_cols, b_rows, b_cols):
      """Jaccard coefficient on the elements of the two biclusters."""
      intersection = (a_rows * b_rows).sum() * (a_cols * b_cols).sum()
  
      a_size = a_rows.sum() * a_cols.sum()
      b_size = b_rows.sum() * b_cols.sum()
  
      return intersection / (a_size + b_size - intersection)
  
file_path: scikit-learn/sklearn/metrics/cluster/_bicluster.py
imports: import numpy
  from scipy.optimize import linear_sum_assignment
  from ...utils._param_validation import StrOptions, validate_params
  from ...utils.validation import check_array, check_consistent_length
label_desc: Use image node_id 2 for calling a global function with example usage: _jaccard(a_rows, a_cols, b_rows, b_cols) and returns: unknown