old_contents: #!/usr/bin/env python
  
  # Python 2/3 compatibility
  from __future__ import print_function
  
  import cv2 as cv
  import numpy as np
  
  from tests_common import NewOpenCVTests
  
  class TestGoodFeaturesToTrack_test(NewOpenCVTests):
      def test_goodFeaturesToTrack(self):
          arr = self.get_sample('samples/data/lena.jpg', 0)
          original = arr.copy(True)
          threshes = [ x / 100. for x in range(1,10) ]
          numPoints = 20000
  
          results = dict([(t, cv.goodFeaturesToTrack(arr, numPoints, t, 2, useHarrisDetector=True)) for t in threshes])
          # Check that GoodFeaturesToTrack has not modified input image
          self.assertTrue(arr.tostring() == original.tostring())
          # Check for repeatability
          for i in range(1):
              results2 = dict([(t, cv.goodFeaturesToTrack(arr, numPoints, t, 2, useHarrisDetector=True)) for t in threshes])
              for t in threshes:
                  self.assertTrue(len(results2[t]) == len(results[t]))
                  for i in range(len(results[t])):
                      self.assertTrue(cv.norm(results[t][i][0] - results2[t][i][0]) == 0)
  
          for t0,t1 in zip(threshes, threshes[1:]):
              r0 = results[t0]
              r1 = results[t1]
              # Increasing thresh should make result list shorter
              self.assertTrue(len(r0) > len(r1))
              # Increasing thresh should monly truncate result list
              for i in range(len(r1)):
                  self.assertTrue(cv.norm(r1[i][0] - r0[i][0])==0)
  
  
  if __name__ == '__main__':
      NewOpenCVTests.bootstrap()
  
new_contents: #!/usr/bin/env python
  
  # Python 2/3 compatibility
  from __future__ import print_function
  
  import cv2 as cv
  import numpy as np
  
  from tests_common import NewOpenCVTests
  
  class TestGoodFeaturesToTrack_test(NewOpenCVTests):
      def test_goodFeaturesToTrack(self):
          arr = self.get_sample('samples/data/lena.jpg', 0)
          original = arr.copy()
          threshes = [ x / 100. for x in range(1,10) ]
          numPoints = 20000
  
          results = dict([(t, cv.goodFeaturesToTrack(arr, numPoints, t, 2, useHarrisDetector=True)) for t in threshes])
          # Check that GoodFeaturesToTrack has not modified input image
          self.assertTrue(arr.tostring() == original.tostring())
          # Check for repeatability
          for i in range(1):
              results2 = dict([(t, cv.goodFeaturesToTrack(arr, numPoints, t, 2, useHarrisDetector=True)) for t in threshes])
              for t in threshes:
                  self.assertTrue(len(results2[t]) == len(results[t]))
                  for i in range(len(results[t])):
                      self.assertTrue(cv.norm(results[t][i][0] - results2[t][i][0]) == 0)
  
          for t0,t1 in zip(threshes, threshes[1:]):
              r0 = results[t0]
              r1 = results[t1]
              # Increasing thresh should make result list shorter
              self.assertTrue(len(r0) > len(r1))
              # Increasing thresh should monly truncate result list
              for i in range(len(r1)):
                  self.assertTrue(cv.norm(r1[i][0] - r0[i][0])==0)
  
  
  if __name__ == '__main__':
      NewOpenCVTests.bootstrap()
  
subject: fix python test