code: def test_indexed_string_regex(self):
      s = "Please, take your time. Please"
      tokenized_string = np.array(
          [
              "Please",
              ", ",
              "take",
              " ",
              "your",
              " ",
              "time",
              ". ",
              "Please",
          ]
      )
      inverse_vocab = ["Please", "take", "your", "time"]
      start_positions = [0, 6, 8, 12, 13, 17, 18, 22, 24]
      positions = [[0, 8], [2], [4], [6]]
      indexed_string = IndexedString(s)
  
      self.assertTrue(
          np.array_equal(indexed_string.as_np, tokenized_string)
      )
      self.assertTrue(
          np.array_equal(indexed_string.string_start, start_positions)
      )
      self.assertTrue(indexed_string.inverse_vocab == inverse_vocab)
      self.assertTrue(
          np.array_equal(indexed_string.positions, positions)
      )
  
imports: import re
  import unittest
  import sklearn
  from sklearn.datasets import fetch_20newsgroups
  from sklearn.feature_extraction.text import TfidfVectorizer
  from sklearn.metrics import f1_score
  from sklearn.naive_bayes import MultinomialNB
  from sklearn.pipeline import make_pipeline
  import numpy
  from lime.lime_text import LimeTextExplainer
  from lime.lime_text import IndexedCharacters, IndexedString
label_desc: Use image node_id 6 for calling the TestLimeText obj's underlying member method code with example usage: obj.test_indexed_string_regex() without return types