class_docstr: Test the text utilities for creating and cleaning features.
class_docstr_tok: ["Test","the","text","utilities","for","creating","and","cleaning","features","."]
code: def setUpClass(self):
      self.sa_word = tc.SArray(
          [
              "I like big dogs. They are fun. I LIKE BIG DOGS",
              "I like.",
              "I like big",
          ]
      )
      self.sa_char = tc.SArray(
          ["Fun. is. fun", "Fun is fun.", "fu", "fun"]
      )
  
      self.languages = tc.SArray(
          [
              "This is someurl http://someurl!!",
              "中文 应该也 行",
              "Сблъсъкът между",
          ]
      )
  
      self.languages_double = tc.SArray(
          [
              "This is someurl http://someurl!! This is someurl http://someurl!!",
              "中文 应该也 行 中文 应该也 行",
              "Сблъсъкът между Сблъсъкът между",
          ]
      )
  
      self.punctuated = tc.SArray(
          [
              "This is some url http://www.someurl.com!!",
              "Should we? Yes, we should.",
          ]
      )
      self.punctuated_double = tc.SArray(
          [
              "This is some url http://www.someurl.com!! This is some url http://www.someurl.com!!",
              "Should we? Yes, we should. Should we? Yes, we should.",
          ]
      )
  
      self.docs = tc.SArray(
          [
              {"this": 1, "is": 1, "a": 2, "sample": 1},
              {"this": 1, "is": 1, "another": 2, "example": 3},
          ]
      )
  
      self.sframe_comparer = util.SFrameComparer()
  
imports: from __future__ import print_function
  from __future__ import division
  from __future__ import absolute_import
  import math
  import unittest
  import warnings
  import turicreate
  import turicreate.toolkits.text_analytics
  from .None import util
label_desc: Use image node_id 1 for calling the FeatureEngineeringTest obj's underlying member method code with example usage: obj.setUpClass() without return types