code: def setUp(self):
      random_state = check_random_state(42)
      self.X_train = random_state.rand(500, 5)
      self.X_test = random_state.rand(100, 5)
      self.X_test_diff = random_state.rand(100, 10)
      self.scores1 = [0.1, 0.3, 0.5, 0.7, 0.2, 0.1]
      self.scores2 = np.array([0.1, 0.3, 0.5, 0.7, 0.2, 0.1])
  
imports: import os
  import sys
  import unittest
  from numpy.testing import assert_allclose
  from numpy.testing import assert_equal
  from numpy.testing import assert_raises
  from sklearn.metrics import precision_score
  from sklearn.utils import check_random_state
  import numpy
  from utils.utility import standardizer
  from utils.utility import get_label_n
  from utils.utility import precision_n_scores
  from utils.utility import argmaxn
  from utils.utility import invert_order
  from utils.utility import check_detector
  from utils.utility import score_to_label
  from utils.utility import list_diff
  from utils.utility import score_to_proba
label_desc: Use image node_id 1 for calling the TestScaler obj's underlying member method code with example usage: obj.setUp() without return types