class_docstr: Class for representation test cases. Most tests are
  parameterized, some are implemented individually
  (e.g. to test a formula manually).
code: def test_dim_reduction_and_clustering_with_dataframe_input(
      self, name, test_function, correct_output
  ):
      s_true = correct_output
  
      if name == "normalize":
          # testing this below separately
          return
  
      if name == "kmeans":
          result_s = test_function(df, random_state=42, n_clusters=2)
      elif (
          name == "dbscan" or name == "meanshift" or name == "normalize"
      ):
          result_s = test_function(df)
      else:
          result_s = test_function(df, random_state=42)
  
      # Binary categories: also test if it equals with
      # the category labels inverted (e.g. [0, 1, 0] instead
      # of [1, 0, 1], which makes no difference functionally)
      if pd.api.types.is_categorical_dtype(result_s):
          if len(result_s.cat.categories) == 2 and all(
              result_s.cat.categories == [0, 1]
          ):
              try:
                  result_s_inverted = result_s.apply(
                      lambda category: 1 - category
                  )
                  pd.testing.assert_series_equal(
                      s_true,
                      result_s_inverted,
                      check_dtype=False,
                      rtol=0.1,
                      atol=0.1,
                      check_category_order=False,
                      check_categorical=False,
                  )
                  return
              # inverted comparison fails -> continue to normal comparison
              except AssertionError:
                  pass
  
      pd.testing.assert_series_equal(
          s_true,
          result_s,
          check_dtype=False,
          rtol=0.1,
          atol=0.1,
          check_category_order=False,
          check_categorical=False,
      )
  
imports: import pandas
  import numpy
  from texthero import representation
  from texthero import preprocessing
  import pytest
  from .conftest import broken_case
  import doctest
  import unittest
  import string
  import math
  import warnings
  from parameterized import parameterized
label_desc: Use image node_id 7 for calling the TestAbstractRepresentation obj's underlying member method code with example usage: obj.test_dim_reduction_and_clustering_with_dataframe_input(name, test_function, correct_output) without return types