code: def __iter_docs_and_cats(self, verbose: bool):
      it = (
          self.corpus.get_df()[
              [
                  self.corpus.get_category_column(),
                  self.corpus.get_parsed_column(),
              ]
          ]
          .rename(
              columns={
                  self.corpus.get_category_column(): "Cat",
                  self.corpus.get_parsed_column(): "Doc",
              }
          )
          .itertuples()
      )
      if verbose:
          it = tqdm(it, total=self.corpus.get_num_docs())
      return enumerate(it)
  
imports: import dataclasses
  from typing import Iterable, Optional, Callable, Union
  import flashtext
  import numpy
  import spacy
  import pandas
  from scattertext.contextual_embeddings.doc_splitter import doc_sentence_splitter
  from scattertext.features.FeatsFromSpacyDoc import FeatsFromSpacyDoc
  from scattertext.OffsetCorpus import OffsetCorpus
  from tqdm.auto import tqdm
  from scattertext.ParsedCorpus import ParsedCorpus
  from scattertext.contextual_embeddings.corpus_runing_stats import CorpusRunningStats
label_desc: Use image node_id 9 for calling the CorpusRunningStatsFactory obj's underlying member method code with example usage: obj.__iter_docs_and_cats(verbose) and returns: enumerate