code: def setUp(self):
      self.source = "".join(
          [
              "from sklearn.metrics import accuracy_score\n",
              "import numpy as np\n",
              "def metric_generator(y_true, y_probas):\n",
              "    argmax = np.argmax(y_probas, axis=1)\n",
              "    return accuracy_score(y_true, argmax)",
          ]
      )
      self.wrong_source = "metric_generator = ''"
      self.dataset_properties = {
          "type": "multiclass",
      }
  
imports: from __future__ import absolute_import, print_function, division, unicode_literals
  import unittest
  import os
  import numpy
  from xcessiv import functions, exceptions
  from sklearn.datasets import load_digits
  from sklearn.ensemble import RandomForestClassifier
  from sklearn.decomposition import PCA
  from sklearn.pipeline import Pipeline
  import pickle
label_desc: Use image node_id 1 for calling the TestVerifyEstimatorClass obj's underlying member method code with example usage: obj.setUp() without return types