docstr: Method to count the number of interaction in each bi-cluster
docstr_tok: ["Method","to","count","the","number","of","interaction","in","each","bi-cluster"]
code: def count_information(self):
      """
      Method to count the number of interaction in each bi-cluster
  
      """
  
      for label_row in range(self.k_row):
          for label_col in range(self.l_col):
              count_local = 0
  
              for pair in itertools.product(
                  self.list_row[label_row], self.list_col[label_col]
              ):
                  if self.matrix[pair[0]][pair[1]] != 0:
                      count_local += 1
  
              self.count_total.append(
                  len(self.list_row[label_row])
                  * len(self.list_col[label_col])
              )
              self.count_ones.append(count_local)
  
      self.update_information(first_iteration=True)
  
file_path: CaseRecommender/caserec/clustering/paco.py
imports: import itertools
  import random
  import numpy
  from scipy.spatial.distance import squareform, pdist
  from sklearn.cluster import KMeans
  from caserec.utils.process_data import ReadFile
label_desc: Use image node_id 4 for calling the PaCo obj's underlying member method code with example usage: obj.count_information() without return types