old_contents: # ~/ceam/tests/test_util.py
  
  from unittest import TestCase
  from datetime import timedelta
  try:
      from unittest.mock import Mock
  except ImportError:
      # python2
      from mock import Mock
  
  import numpy as np
  import pandas as pd
  
  from ceam.engine import SimulationModule
  from ceam.util import from_yearly, to_yearly, rate_to_probability, probability_to_rate
  
  
  class TestRateConversions(TestCase):
      """
      Simple regression tests for rate functions
      """
      def test_from_yearly(self):
          one_month = timedelta(days=30.5)
          rate = 0.01
          new_rate = from_yearly(rate, one_month)
          self.assertAlmostEqual(new_rate, 0.0008356164383561645)
  
      def test_to_yearly(self):
          one_month = timedelta(days=30.5)
          rate = 0.0008356164383561645
          new_rate = to_yearly(rate, one_month)
          self.assertAlmostEqual(new_rate, 0.01)
  
      def test_rate_to_probability(self):
          rate = 0.001
          prob = rate_to_probability(rate)
          self.assertAlmostEqual(prob, 0.00099950016662497809)
  
      def test_probablity_to_rate(self):
          prob = 0.00099950016662497809
          rate = probability_to_rate(prob)
          self.assertAlmostEqual(rate, 0.001)
  
      def test_rate_to_probability_symmetry(self):
          rate = 0.0001
          for _ in range(100):
              prob = rate_to_probability(rate)
              self.assertAlmostEqual(rate, probability_to_rate(prob))
              rate += (1-0.0001)/100.0
  
      def test_rate_to_probablity_vectorizability(self):
          rate = 0.001
          rate = np.array([rate]*100)
          prob = rate_to_probability(rate)
          self.assertAlmostEqual(prob[10], 0.00099950016662497809)
          self.assertAlmostEqual(np.sum(rate), np.sum(probability_to_rate(prob)))
  
      def test_failure(self):
          assert False
  
  
  # End.
  
new_contents: # ~/ceam/tests/test_util.py
  
  from unittest import TestCase
  from datetime import timedelta
  try:
      from unittest.mock import Mock
  except ImportError:
      # python2
      from mock import Mock
  
  import numpy as np
  import pandas as pd
  
  from ceam.engine import SimulationModule
  from ceam.util import from_yearly, to_yearly, rate_to_probability, probability_to_rate
  
  
  class TestRateConversions(TestCase):
      """
      Simple regression tests for rate functions
      """
      def test_from_yearly(self):
          one_month = timedelta(days=30.5)
          rate = 0.01
          new_rate = from_yearly(rate, one_month)
          self.assertAlmostEqual(new_rate, 0.0008356164383561645)
  
      def test_to_yearly(self):
          one_month = timedelta(days=30.5)
          rate = 0.0008356164383561645
          new_rate = to_yearly(rate, one_month)
          self.assertAlmostEqual(new_rate, 0.01)
  
      def test_rate_to_probability(self):
          rate = 0.001
          prob = rate_to_probability(rate)
          self.assertAlmostEqual(prob, 0.00099950016662497809)
  
      def test_probablity_to_rate(self):
          prob = 0.00099950016662497809
          rate = probability_to_rate(prob)
          self.assertAlmostEqual(rate, 0.001)
  
      def test_rate_to_probability_symmetry(self):
          rate = 0.0001
          for _ in range(100):
              prob = rate_to_probability(rate)
              self.assertAlmostEqual(rate, probability_to_rate(prob))
              rate += (1-0.0001)/100.0
  
      def test_rate_to_probablity_vectorizability(self):
          rate = 0.001
          rate = np.array([rate]*100)
          prob = rate_to_probability(rate)
          self.assertAlmostEqual(prob[10], 0.00099950016662497809)
          self.assertAlmostEqual(np.sum(rate), np.sum(probability_to_rate(prob)))
  
  
  # End.
  
subject: Remove failure test