class_docstr: An iterator that yields sentences (lists of str).
code: def __iter__(self):
      corpus_path = datapath("lee_background.cor")
      for line in open(corpus_path):
          # assume there's one document per line, tokens separated by whitespace
          yield utils.simple_preprocess(line)
  
imports: import logging
  import gensim.downloader
  from gensim.test.utils import datapath
  from gensim import utils
  import gensim.models
  import tempfile
  import os
  import io
  import os
  import gensim.models.word2vec
  import gensim.downloader
  import smart_open
  import time
  import numpy
  import pandas
  from sklearn.decomposition import IncrementalPCA
  from sklearn.manifold import TSNE
  import numpy
label_desc: Use image node_id 1 for calling the MyCorpus obj's underlying member method code with example usage: obj.__iter__() without return types