code: def test_outliers_grubbs(self):
      x = np.array(
          [
              199.31,
              199.53,
              200.19,
              200.82,
              201.92,
              201.95,
              202.18,
              245.57,
          ]
      )
      test_results = so.outliers_grubbs(x)
      correct_results = np.array(
          [199.31, 199.53, 200.19, 200.82, 201.92, 201.95, 202.18]
      )
      self.assertTrue(so.outliers_grubbs(x, hypo=True))
      self.assertTrue(np.all(test_results == correct_results))
  
imports: import os
  import sys
  import unittest
  import matplotlib
  import scikit_posthocs._posthocs
  import scikit_posthocs._omnibus
  import scikit_posthocs._outliers
  import scikit_posthocs._plotting
  import scikit_posthocs._global
  import seaborn
  import numpy
  import matplotlib.axes
  from pandas import DataFrame, Series
label_desc: Use image node_id 14 for calling the TestPosthocs obj's underlying member method code with example usage: obj.test_outliers_grubbs() without return types