# How to use test_compute_hamming_distance method in avocado

Best Python code snippet using avocado_python

test_cit.py

Source:test_cit.py

`...24 for _ in range(0, 10):25 row = self.cit.create_random_row_with_constraints()26 with self.subTest(random_row=row):27 self.assertTrue(self.cit.combination_matrix.is_valid_solution(row), "New random row is not valid")28 def test_compute_hamming_distance(self):29 self.cit.final_matrix.append([1, 0, 1, 2])30 self.cit.final_matrix.append([2, 1, 1, 0])31 row = [2, 0, 3, 2]32 expected_distance = 533 self.assertEqual(expected_distance, self.cit.compute_hamming_distance(row), "Wrong hamming distance")34 def test_final_matrix_init(self):35 combination_matrix = copy(self.cit.combination_matrix)36 final_matrix = self.cit.final_matrix_init()37 expected_total_uncovered = 038 expected_uncovered_rows = {}39 self.assertEqual(expected_total_uncovered, self.cit.combination_matrix.total_uncovered,40 "Final matrix don't cover all combinations")41 self.assertEqual(expected_uncovered_rows, self.cit.combination_matrix.uncovered_rows,42 "Final matrix don't cover all combination rows")...`

test_photoduplicates.py

Source:test_photoduplicates.py

`...14 15 @parameterized.expand([16 [[1,2,3],[[0,1,2],[1,0,1],[2,1,0]]]17 ])18 def test_compute_hamming_distance(self, input, exp_output):19 actual = phototool.compute_hamming_distance(input)20 self.assertEqual(exp_output, actual)21if __name__ == '__main__':...`

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