Develop a list of all possible (or at least all the most important) test scenarios for a given feature. Test scenarios describe the different ways the feature will be used. Test doubles run the gamut from mocks, to stubs, to fakes and spies. Let’s examine the ups and downs of using various test double types with unit testing. While test stubs store specific values, test mocks behave in a predetermined way.
Operations on a table test object can be performed on specified rows, columns, or cells, or on the table as a whole. Note that you cannot control the order that fixture objects are created, and
fixtures cannot take dependencies on other fixtures. The data and behavior are described by the attributes and methods in the definition of the class, respectively. Examples containing both expected output and an exception are not supported. Trying to guess where one ends and the other begins is too error-prone, and that
My Blog List
also makes for a confusing test. Compileflags gives the set of flags that should be used by the Python
compiler when running the examples.
Optional argument tearDown specifies a tear-down function for the test
suite. The setUp function can
access the test globals as the globs attribute of the test passed. Optional argument setUp specifies a set-up function for the test suite. The setUp function can access the
test globals as the globs attribute of the test passed. Optional arguments extraglobs, verbose, report, optionflags,
raise_on_error, and globs are the same as for function testfile()
above, except that globs defaults to m.__dict__.
Report that the given example raised an unexpected exception. This method is
provided to allow subclasses of DocTestRunner to customize their
output; it should not be called directly. The optional keyword argument verbose controls the DocTestRunner’s
verbosity. If verbose is True, then information is printed about each
example, as it is run.
If true, objects for which
no doctests are found are excluded from consideration. The default is a backward
compatibility hack, so that code still using doctest.master.summarize() in
conjunction with testmod() continues to get output for objects with no
tests. The exclude_empty argument to the newer DocTestFinder
constructor defaults to true.
Prints a script version of function f()’s docstring, with doctests
converted to code, and the rest placed in comments. The optional argument name specifies the object’s name; this name will be
Static Objects
used to construct names for the returned DocTests. If the optional argument recurse is false, then DocTestFinder.find()
will only examine the given object, and not any contained objects. Optional argument globs is a dictionary containing the initial global
variables for the tests. Optional argument package is a Python package or the name of a Python
package whose directory should be used as the base directory for
module-relative filenames in paths.
Only use test doubles in cases where the object or feature the test double is substituting for has been fully tested. Using test doubles will save QA professionals time and frustration by speeding up tests and skipping error-prone, unrelated steps. A good method checks all the possible errors and returns a character
vector citing all the exceptions found, rather than returning after
the first one.
Function and class object docstrings found from M.__test__ are searched, and
Test object definition
strings are treated as if they were docstrings. In output, a key K in
M.__test__ appears with name M.__test__.K. Sometimes test context creation and cleanup can be very expensive.
GoogleTest does not reuse the same test fixture for multiple tests. Any
changes one test makes to the fixture do not affect other tests. Run the test cases through the application and compare actual outcomes against expected results. If actual and expected definition of test object outputs are different, the feature has failed the test and a defect should be recorded. Unlike non-functional testing, functional testing isn’t concerned with investigating the quality, security, or performance of the application’s underlying source code.
The value of example.__test__[“numbers”] will be treated as a
docstring and all the tests inside it will be run. It is
important to note that the value can be mapped to a function,
class object, or module; if so, doctest
searches them recursively for docstrings, which are then scanned for tests. By default, testfile() looks for files in the calling module’s directory. See section Basic API for a description of the optional arguments
- Test doubles are useful, but QA can only implement these objects if an app has the right test coverage.
- Whether any of the mock, fake, or stub trio fits such a definition is, again, inconsistent across the literature.
- In that book, fakes are anything that is not real, which, based on their usage, can be either stubs or mocks.
- There’s an art to
this that needs to be learned—it may not be natural at first. - If the object is valid, TRUE is returned; otherwise, an error
is generated, reporting all the validity failures encountered. - Test doubles stand in for software integrations or features that are not easily testable.
that can be used to tell it to look for files in other locations. These actions can then be replayed, using the objects, data and actions captured during the recording, to replicate the user’s activities. The results of these actions are noted by the testing tool, and compared to the expected results defined by the automation engineer to determine whether the test passed or failed.