code: def setUpClass(cls):
      cls.tsne = TSNE(
          early_exaggeration_iter=20,
          n_iter=100,
          neighbors="exact",
          negative_gradient_method="bh",
      )
      # Set up two modalities, if we want to viually inspect test results
      random_state = np.random.RandomState(0)
      cls.x = np.vstack(
          (
              random_state.normal(+1, 1, (100, 4)),
              random_state.normal(-1, 1, (100, 4)),
          )
      )
      cls.x_test = random_state.normal(0, 1, (25, 4))
  
file_path: openTSNE/tests/test_sklearn_wrapper.py
imports: import unittest
  import numpy
  from openTSNE.sklearn import TSNE
label_desc: Use image node_id 1 for calling the TestTSNECorrectness obj's underlying member method code with example usage: obj.setUpClass(cls) without return types