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The Decorator Pattern (or an implementation of this design pattern in Python - as the above example) should not be confused with Python Decorators, a language feature of Python. They are different things. Second to the Python Wiki: The Decorator Pattern is a pattern described in the Design Patterns Book.
Thus, a combinatorial technique for picking test cases like all-pairs testing is a useful cost-benefit compromise that enables a significant reduction in the number of test cases without drastically compromising functional coverage. [5] More rigorously, if we assume that a test case has parameters given in a set {} = {,,...
UML diagrams used to represent the physical view include the deployment diagram. [2] Scenarios: The description of an architecture is illustrated using a small set of use cases, or scenarios, which become a fifth view. The scenarios describe sequences of interactions between objects and between processes.
If set to "y" or "yes", the test case is made collapsible. The test case is collapsed and given a green heading if all the template outputs are the same. If any of the template outputs differ, the test case is expanded and given a yellow heading. See #Collapsible test cases for other parameters which only work when _collapsible is enabled.
Template:Test case nowiki, for templates with complex invocations; Template:Collapsible test case, to collapse test cases when the main and sandbox templates produce the same result; Note that all of these templates can produce collapsible test cases, but Template:Collapsible test case has this feature turned on by default. For detailed ...
The default test case format doesn't have any extra parameters. The inline format is for test cases that can be displayed entirely on one line. If used with templates that display on multiple lines it may produce unexpected results. It doesn't have any extra parameters. The columns format arranges the test cases side by side in a table.
It is a common pattern in software testing to send values through test functions and check for correct output. In many cases, in order to thoroughly test functionalities, one needs to test multiple sets of input/output, and writing such cases separately would cause duplicate code as most of the actions would remain the same, only differing in input/output values.
Process steps for a happy path are also used in the context of a use case. In contrast to the happy path, process steps for alternate flow and exception flow may also be documented. [3] Happy path test is a well-defined test case using known input, which executes without exception and produces an expected output. [4]