code: def setUp(self):
      self.y = [0, 0, 1, 1, 1, 0, 0, 0, 1, 0]
      self.labels_ = [0.1, 0.2, 0.2, 0.8, 0.2, 0.5, 0.7, 0.9, 1, 0.3]
      self.labels_short_ = [0.1, 0.2, 0.2, 0.8, 0.2, 0.5, 0.7, 0.9, 1]
      self.manual_labels = [0, 0, 0, 1, 0, 0, 1, 1, 1, 0]
      self.outliers_fraction = 0.3
      self.value_lists = [0.1, 0.3, 0.2, -2, 1.5, 0, 1, -1, -0.5, 11]
  
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 TestMetrics obj's underlying member method code with example usage: obj.setUp() without return types