code: def bag_of_words_to_docs(
      text_docs_bow: Iterable[Iterable[str]],
  ) -> Iterable[str]:
      """Converts list of documents in "bag of words" format.
  
      This converts back into form of document being stored in one string.
  
      Args:
          text_docs_bow: A list of lists of words from a document
  
      Returns:
          A generator expression for all of the processed documents
      """
      return (" ".join(doc) for doc in text_docs_bow)
  
imports: import re
  import string
  import warnings
  from types import GeneratorType
  from typing import List, Optional, Any, Iterable, TYPE_CHECKING
  import pandas
  from sklearn.feature_extraction.text import TfidfVectorizer, CountVectorizer
  from data_describe.text import text_preprocessing
  from data_describe.compat import _requires, _compat
label_desc: Use image node_id 9 for calling a global function with example usage: bag_of_words_to_docs(text_docs_bow) and returns: unknown