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assertRaises(): Tests if the argument raises an exception when we call the callable with positional/ keyword arguments.ġ3. assertIsInstance(): Tests if the first argument (object) is an instance of the second argument(class).ġ2. assertNotIn(): Tests if the first argument is not in the second argument.ġ1. assertIn(): Takes input of two objects and tests if the first argument is in the second one (child of the 2nd one).ġ0. assertIsNotNone(): Tests if the given argument does not evaluates to None.ĩ. assertIsNone(): Tests if the given argument evaluates to None.Ĩ. assertIsNot(): Tests if the given arguments evaluate belong to the same object.ħ. assertIs(): Tests if the given arguments evaluate belong to the same object.Ħ. assertFalse(): Tests if the argument outputs a Boolean False.ĥ. assertTrue(): Tests if the argument outputs a Boolean True.Ĥ. assertNotEqual(): Tests if the values of the two arguments are unequal or not.ģ. assertEqual(): Tests if the values of the two arguments are equal or not.Ģ. These can be used to do different types of tests.ġ. In the above examples, we have seen a few assert() methods like Equal, True, etc. Its outputs describe if the test ran correctly or if it failed. And also it checks if an exception is raised if the denominator is 0.įinally, unittest.main() function provides a command-line interface to the test script. test_div checks if the division of 2/5 is 0.4. test_bool checks the boolean value acquired from the argument and checks if it is equal to the particular boolean based on the assert() method used.ĥ. Similarly, test_pow checks if 2 to the power of 5 is equal to 32.Ĥ. test_abs checks if the absolute value of -5, the first argument, is equal to 5 ( the 2nd argument.ģ. setUp() function is a default function in the Unittest that is executed before the execution of each test.Ģ. assertRaises() returns the specified exceptionĪlso, observe that each of the functions in the class TestMethods() starts with the keyword ‘test’ followed by an underscore and the function name. assertTrue() and assertFalse() verify if the given input statement is True or Falseģ.
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assertEqual() is used to check if the result in the first argument matches the one in the 2nd argument.Ģ. In the above example, we used the functions assertEqual(), assertTrue(), assertFalse() and assertRaises(). With self.assertRaises(ZeroDivisionError): # Returns true if the string splits and matches # Tests and returns TRUE if the boolean value is non empty or non 0
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Self.assertEqual( abs(-5), 5) #tests if the absolute value of -5 is 5ĭef test_pow(self): #tests if 2 to the power of 5 is 32 Let us see another example of unit testing for further understanding.ĭef setUp(self): #Function that runs before each test to set any pre-requisites We can see that we got the output that the test failed since there is a mismatch. Self.assertEqual(prod(5,4),-9) #testing by calling the function and passing the predicted resultĪssertionError: 20 != -9. Self.assertEqual(prod(4,-2),-8) #testing by calling the function and passing the predicted result It is a component that is used for the execution of tests and to give the outputs to the user.ĭef prod(a,b): #defining the function to be testedĬlass Tests(unittest.TestCase): #creating the classĭef test(self): #method that tests the function It is a collection of test cases or test suites themselves or both. test case:Ī test case is a set of codes that are considered as a single unit while testing. test fixture:Ī test fixture can be thought of as preparation to run the tests and to ensure that there is a fixed environment in which tests are run so that results are repeatable. The following are the OOPS concepts supported by this framework: 1. When we want to test a code, we create a class that contains functions to test the particular unit of the program. The tests are independent of the framework Aggregation of the tests into collectionsĤ.
IUNIT TESTING PYTHON CODE
Ability to share the setup and shutdown code for testsģ. It is inspired by the JUnit framework used in the other programming languages. Unittest is one of the Python frameworks for unit testing. The following modules are provided by Python for this purpose:Īs said above we will be covering the first two modules. This is done to make sure that each unit of the program is designed and working properly. Unit testing is the process of testing the small units of the program. What is Python Unit Testing?īefore looking into the module, let us know what is unit testing? So, let us start with the introduction to unit testing. Do you know Python provides frameworks for the testing Purpose? In this article, we will be discussing one of these modules named ‘unittest’.
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There are many cases we would have come across or will be coming across in the future when we want to test if our code is working properly or not with different test cases.