docstr: Print clusters informations
docstr_tok: ["Print","clusters","informations"]
code: def display_clusters(self, doc_idx=None):
      """
      Print clusters informations
      """
      doc_it = range(len(self.docs)) if doc_idx is None else [doc_idx]
      for d_i in doc_it:
          print(
              "Clusters in doc:",
              doc_it,
              self.docs[d_i]["name"],
              self.docs[d_i]["part"],
          )
          print(self.clusters[d_i])
          for key, mentions in self.clusters[d_i].items():
              l = list(self.m_loc[d_i][m][3] for m in mentions)
              print(
                  "cluster",
                  key,
                  "(",
                  ", ".join(
                      self.docs[d_i]["mentions"][m_idx] for m_idx in l
                  ),
                  ")",
              )
  
imports: import os
  import subprocess
  import io
  import pickle
  import torch
  from torch.utils.data import DataLoader
  from neuralcoref.train.conllparser import FEATURES_NAMES
  from neuralcoref.train.dataset import NCBatchSampler, padder_collate
  from neuralcoref.train.compat import unicode_
label_desc: Use image node_id 6 for calling the ConllEvaluator obj's underlying member method code with example usage: obj.display_clusters(doc_idx) without return types