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Test runner – A test runner is a component which orchestrates the execution of tests and provides the outcome to the user. It is used to aggregate tests that should be executed together. Test suite – A test suite is a collection of test cases, test suites, or both. unittest provides a base class, TestCase, which may be used to create new test cases. It checks for a specific response to a particular set of inputs. Test case – A test case is the individual unit of testing. This may involve, for example, creating temporary or proxy databases, directories, or starting a server process. Test fixture – A test fixture represents the preparation needed to perform one or more tests, and any associated cleanup actions. Unit tests concepts (from unittest’s documentation): pytest that is a third-party unit test framework with a simpler syntax for writing tests Note: There are other unit test frameworks you can use in Python, e.g.Independence of the unit tests from the test-run reporting framework.Aggregation of tests into collections (suites),.
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Sharing of setup and shutdown code for tests,.Integrated into a standard Python library since version 2.1.Python’s unit testing framework is backed by the unittest module ( ).
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Increases confidence in software to be delivered. Acts as a form of evidence-based documentation. Facilitates adding new functionality and regression testing. Forces developers to write code that better matches software requirements. TDD has its roots in the Agile manifesto and Extreme programming. TDD promotes the idea of writing unit tests before the actual new code (to be verified) has been written. #PYTHON RUNNER TECHNIQUE SERIES#
Unit testing underpins the test-driven development (TDD) practice, which is a software delivery process of converting software requirements into a series of verifiable fine-grained tests that must be passed by the new code. 1.5 Unit Testing and Test-driven Development Testing multiple components working together is known as integration testing. Unit testing is usually automated and made an integral part of the continuous software delivery process. Suites (blocks or collections) of unit tests are used in testing larger codebase like that of libraries and modules. Testing of code is performed using assertions. Commonly, units under testing are functions and/or classes. Unit testing focuses on testing individual units of code or single components for compliance with software specifications before proceeding to integration testing. In the above example, an AssertionError exception will be raised for any age values below zeroġ.4 What is Unit Testing and Why Should I Care?. Python assertions are programmed with the assert statement:Īssert age > 0, 'Age must be a positive number over 0'. Assertions are usually used to validate input parameters passed to a function, an object method, or to verify some fundamental business conditions. Program execution proceeds if the assertion evaluates to True (the program is in normal state) an exception with a supplied error message is raised otherwise. Assertions are boolean expressions that ensure that a specific (often critical) assumption about the program’s state is not violated. They are part and parcel of the Defensive Programming philosophy. Assertions is a mechanism that helps software developers write a more robust code. Other techniques aim at aiding you in better productionalizing your software and helping you with an evidence-based postmortem analysis in case of program faults. Some of these techniques fall under the category of defensive programming, which is (at least, in spirit) close to defensive driving practices. more readily lending themselves to troubleshooting. more resistant to (unavoidable) human errors, software defects, and hardware failures, and. more compliant with the software specs,. 
We will define Robust Programming as a collection of assorted programming techniques, methods, practices, and libraries that can help you write programs with the following properties:.This tutorial is adapted from the Web Age course.
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