Test Driven Development in Python

Test Driven Development in Python Anoop Thomas Mathew Agiliq Info Solutions Pvt. Ltd.

Overview● About TDD● TDD and Python● unittests● Developing with Tests● Concluding Remarks● Open Discussion

“ Walking on water and developing software from a specification are easy if both are frozen. ” - Edward V Berard

About Test Driven Development (TDD)● Write tests for the use case● Run it (make sure it fails and fails miserably)● Write code and implement the required functionality with relevant level of detail● Run the test● Write test for addition features● Run all test● Watch it succeed. Have a cup of coffee !

Advantages of TDD● application is determined by using it● written minimal amount of application code – total application + tests is probably more – objects: simpler, stand-alone, minimal dependencies● tends to result in extensible architectures● instant feedback

Unittestimport unittestclass MyTest(unittest.TestCase): def testMethod(self): self.assertEqual(1 + 2, 3, "1 + 2 !=3")if __name__ == __main__: unittest.main()

import unittestfrom demo import Greater The Testclass DemoTest(unittest.TestCase): def test_number(self): comparator = Greater() result = comparator.greater(10,5) self.assertTrue(result) def test_char(self): comparator = Greater() result = comparator.greater(abcxyz, AB) self.assertTrue(result) def test_char_equal(self): comparator = Greater() result = comparator.greater(4, 3) self.assertTrue(result)if __name__ == __main__: unittest.main()

class Greater(object): The Program def greater(self, val1, val2): if type(val1) ==str or type(val2) == str: val1 = str(val1) val2 = str(val2) sum1 = sum([ord(i) for i in val1]) sum2 = sum([ord(i) for i in val2]) if sum1 > sum2: return True else: return False if val1>val2: return True else: return False

Test Again1. Add new test for features/bugs2. Resolve the issue, make the test succeed.3. Iterate from Step 1

Beware!!!Murphy is everywhere.

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Test Driven Development in Python

by Anoop Mathew

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