old_contents: from unittest import TestCase
  from neuropower import BUM
  import numpy as np
  
  class TestBUM(TestCase):
      def test_fpLL(self):
          np.random.seed(seed=100)
          testpeaks = np.vstack((np.random.uniform(0,1,10),np.random.uniform(0,0.2,10))).flatten()
          x = np.sum(BUM.fpLL([0.5,0.5],testpeaks))
          self.assertEqual(np.around(x,decimals=2),9.57)
  
      def test_fbumnLL(self):
          np.random.seed(seed=100)
          testpeaks = np.vstack((np.random.uniform(0,1,10),np.random.uniform(0,0.2,10))).flatten()
          x = BUM.fbumnLL([0.5,0.5],testpeaks)
          self.assertEqual(np.around(x,decimals=2)[0],-4.42)
  
      def test_fbumnLL(self):
          np.random.seed(seed=100)
          testpeaks = np.vstack((np.random.uniform(0,1,10),np.random.uniform(0,0.2,10))).flatten()
          x = BUM.bumOptim(testpeaks,starts=1,seed=100)
          self.assertEqual(np.around(x['pi1'],decimals=2),0.29)
  
new_contents: from unittest import TestCase
  from neuropower import BUM
  import numpy as np
  
  class TestBUM(TestCase):
      def test_fpLL(self):
          np.random.seed(seed=100)
          testpeaks = np.vstack((np.random.uniform(0,1,10),np.random.uniform(0,0.2,10))).flatten()
          x = np.sum(BUM.fpLL([0.5,0.5],testpeaks))
          self.assertEqual(np.around(x,decimals=2),9.57)
  
      def test_fbumnLL(self):
          np.random.seed(seed=100)
          testpeaks = np.vstack((np.random.uniform(0,1,10),np.random.uniform(0,0.2,10))).flatten()
          x = BUM.fbumnLL([0.5,0.5],testpeaks)
          self.assertEqual(np.around(x,decimals=2)[0],-4.42)
  
      def test_bumOptim(self):
          np.random.seed(seed=100)
          testpeaks = np.vstack((np.random.uniform(0,1,10),np.random.uniform(0,0.2,10))).flatten()
          x = BUM.bumOptim(testpeaks,starts=1,seed=100)
          self.assertEqual(np.around(x['pi1'],decimals=2),0.29)
  
subject: change name for test to remove duplication