old_contents: '''
  Tests for module in package_name.
  '''
  import sys
  import math
  
  import numpy as np
  
  from .base_test import BaseTestCase, unittest
  # from package_name.module import cubic_rectification
  from ..module import cubic_rectification
  
  
  class TestCubicRectification(BaseTestCase):
      '''
      Tests for the cubic_rectification function.
      '''
  
      def test_int(self):
          '''Test with integer inputs.'''
          self.assertEquals(cubic_rectification(2), 8)
          self.assertEquals(cubic_rectification(-2), 0)
          self.assertEquals(cubic_rectification(3), 27)
  
      def test_float(self):
          '''Test with float inputs.'''
          # Need to use assert_allclose due to the real possibility of a
          # floating point inaccuracy.
          self.assert_allclose(cubic_rectification(1.2), 1.728)
          self.assert_allclose(cubic_rectification(-1.2), 0)
  
      def test_empty_array(self):
          '''Test with empty array'''
          self.assert_equal(cubic_rectification(np.array([])), np.array([]))
  
      def test_array(self):
          '''Test with numpy array inputs.'''
          # Test with singleton array
          self.assert_equal(cubic_rectification(np.array(3)), np.array(27))
          # Test with vector
          self.assert_equal(cubic_rectification(np.array([0, 2, -2])),
                            np.array([0, 8, 0]))
  
      def test_arange(self):
          '''Test with numpy array input generated with arange.'''
          # Test with arange input
          x = np.arange(-3, 4)
          actual = cubic_rectification(x)
          desired = np.array([0, 0, 0, 0, 1, 8, 27])
          self.assert_allclose(actual, desired)
  
      @unittest.expectedFailure
      def test_nan_skipped(self):
          '''Test for NaN input with invalid comparison methods.'''
          # We can't use the standard assertEquals for comparing two NaNs
          self.assertEquals(cubic_rectification(float('nan')), float('nan'))
          self.assertEquals(cubic_rectification(np.nan), np.nan)
  
      def test_nan(self):
          '''Test for NaN input with valid comparison methods.'''
          # Can use the assert_equal from numpy.testing to compare NaNs
          self.assert_equal(cubic_rectification(float('nan')), float('nan'))
          self.assert_equal(cubic_rectification(np.nan), np.nan)
          # Or we can use an isnan function from either math or numpy
          self.assertTrue(math.isnan(cubic_rectification(float('nan'))))
          self.assertTrue(np.isnan(cubic_rectification(np.nan)))
  
new_contents: '''
  Tests for module in package_name.
  '''
  import math
  
  import numpy as np
  
  from .base_test import BaseTestCase, unittest
  # from package_name.module import cubic_rectification
  from ..module import cubic_rectification
  
  
  class TestCubicRectification(BaseTestCase):
      '''
      Tests for the cubic_rectification function.
      '''
  
      def test_int(self):
          '''Test with integer inputs.'''
          self.assertEquals(cubic_rectification(2), 8)
          self.assertEquals(cubic_rectification(-2), 0)
          self.assertEquals(cubic_rectification(3), 27)
  
      def test_float(self):
          '''Test with float inputs.'''
          # Need to use assert_allclose due to the real possibility of a
          # floating point inaccuracy.
          self.assert_allclose(cubic_rectification(1.2), 1.728)
          self.assert_allclose(cubic_rectification(-1.2), 0)
  
      def test_empty_array(self):
          '''Test with empty array'''
          self.assert_equal(cubic_rectification(np.array([])), np.array([]))
  
      def test_array(self):
          '''Test with numpy array inputs.'''
          # Test with singleton array
          self.assert_equal(cubic_rectification(np.array(3)), np.array(27))
          # Test with vector
          self.assert_equal(cubic_rectification(np.array([0, 2, -2])),
                            np.array([0, 8, 0]))
  
      def test_arange(self):
          '''Test with numpy array input generated with arange.'''
          # Test with arange input
          x = np.arange(-3, 4)
          actual = cubic_rectification(x)
          desired = np.array([0, 0, 0, 0, 1, 8, 27])
          self.assert_allclose(actual, desired)
  
      @unittest.expectedFailure
      def test_nan_skipped(self):
          '''Test for NaN input with invalid comparison methods.'''
          # We can't use the standard assertEquals for comparing two NaNs
          self.assertEquals(cubic_rectification(float('nan')), float('nan'))
          self.assertEquals(cubic_rectification(np.nan), np.nan)
  
      def test_nan(self):
          '''Test for NaN input with valid comparison methods.'''
          # Can use the assert_equal from numpy.testing to compare NaNs
          self.assert_equal(cubic_rectification(float('nan')), float('nan'))
          self.assert_equal(cubic_rectification(np.nan), np.nan)
          # Or we can use an isnan function from either math or numpy
          self.assertTrue(math.isnan(cubic_rectification(float('nan'))))
          self.assertTrue(np.isnan(cubic_rectification(np.nan)))
  
subject: Remove redundant sys import