def test_brown_affine_regress(self):
        input = np.full((3, 2), 100.)
        output = np.zeros((3, 2))
        correct_output_corr = [[100., 100.], [100., 100.], [100., 100.]]
        correct_output_dist = [[100., 100.], [100., 100.], [100., 100.]]

        # Test when passing an array for output
        correct_arr_brown_affine(input, self.calibration, out=output)
        np.testing.assert_array_almost_equal(output,
                                             correct_output_corr,
                                             decimal=7)
        output = np.zeros((3, 2))
        distort_arr_brown_affine(input, self.calibration, out=output)
        np.testing.assert_array_almost_equal(output,
                                             correct_output_dist,
                                             decimal=7)

        # Test when NOT passing an array for output
        output = correct_arr_brown_affine(input, self.calibration, out=None)
        np.testing.assert_array_almost_equal(output,
                                             correct_output_corr,
                                             decimal=7)
        output = np.zeros((3, 2))
        output = distort_arr_brown_affine(input, self.calibration, out=None)
        np.testing.assert_array_almost_equal(output,
                                             correct_output_dist,
                                             decimal=7)
 def test_brown_affine_types(self):
     # Assert TypeError is raised when passing a non (n,2) shaped numpy ndarray
     with self.assertRaises(TypeError):
         list = [[0 for x in range(2)] for x in range(10)]  # initialize a 10x2 list (but not numpy matrix)
         correct_arr_brown_affine(list, self.calibration, out=None)
     with self.assertRaises(TypeError):
         correct_arr_brown_affine(np.empty((10, 3)), self.calibration, out=None)
     with self.assertRaises(TypeError):
         distort_arr_brown_affine(np.empty((2, 1)), self.calibration, out=None)
     with self.assertRaises(TypeError):
         distort_arr_brown_affine(np.zeros((11, 2)), self.calibration, out=np.zeros((12, 2)))
Example #3
0
 def test_brown_affine_regress(self):
     input = np.full((3, 2), 100.)
     output = np.zeros((3, 2))
     correct_output_corr = [[ 100.,  100.],
                            [ 100.,  100.],
                            [ 100.,  100.]]
     correct_output_dist= [[ 100.,  100.],
                            [ 100.,  100.],
                            [ 100.,  100.]]
     
     # Test when passing an array for output
     correct_arr_brown_affine(input, self.calibration, out=output)
     np.testing.assert_array_almost_equal(output, correct_output_corr,decimal=7)
     output = np.zeros((3, 2))
     distort_arr_brown_affine(input, self.calibration, out=output)
     np.testing.assert_array_almost_equal(output, correct_output_dist, decimal=7)
     
      # Test when NOT passing an array for output
     output=correct_arr_brown_affine(input, self.calibration, out=None)
     np.testing.assert_array_almost_equal(output, correct_output_corr,decimal=7)
     output = np.zeros((3, 2))
     output=distort_arr_brown_affine(input, self.calibration, out=None)
     np.testing.assert_array_almost_equal(output, correct_output_dist, decimal=7)