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Pytest was developed as part of an effort by third-party packages to address Python's built-in module unittest's shortcomings. It originated as part of PyPy, an alternative implementation of Python to the standard CPython. Since its creation in early 2003, PyPy has had a heavy emphasis on testing. PyPy had unit tests for newly written code ...
Python Yes - - Yes ORM-agnostic via unittest depends on ORM Yes Jinja2: Yes Yes Yes Jam.py: Python, JavaScript: Yes Event driven Yes Yes Yes via pytest and mocha Yes Yes Yes Yes Yes Yes Pyjs: Python, JavaScript: Yes Use PureMVC Python version (compiled to JavaScript) Yes ??, no direct data access No No Pylons: Python helpers for Prototype and ...
Unit test framework including strict and loose mocks, auto-discovering of tests, suites, BDD-ish style notation, test protected against exceptions, "natural language" output, extensible reporter, learning mocks to discover actual values sent to a mock. CHEAT: Yes: 2012 [41] BSD: Header-only unit testing framework. Multi-platform.
3. Run all tests. The new test should fail – for expected reasons This shows that new code is actually needed for the desired feature. It validates that the test harness is working correctly. It rules out the possibility that the new test is flawed and will always pass. 4. Write the simplest code that passes the new test
Unit is defined as a single behaviour exhibited by the system under test (SUT), usually corresponding to a requirement [definition needed].While it may imply that it is a function or a module (in procedural programming) or a method or a class (in object-oriented programming) it does not mean functions/methods, modules or classes always correspond to units.
Cherry-picking: move only some revisions from a branch to another one (instead of merging the branches) Bisect: binary search of source history for a change that introduced or fixed a regression; Incoming/outgoing: query the differences between the local repository and a remote one (the patches that would be fetched/sent on a pull/push)
Although there is a rough schedule for each release, they are often delayed if the code is not ready. Python's development team monitors the state of the code by running the large unit test suite during development. [185] The major academic conference on Python is PyCon. There are also special Python mentoring programs, such as PyLadies.
In 2008 it was extracted from the jQuery unit test code to form its project and became known as "QUnit". This allowed others to start using it for writing their unit tests . While the initial version of QUnit used jQuery for interaction with the DOM , a rewrite in 2009 made QUnit completely standalone.