Class: matlab.unittest.qualifications.Assumable
Package: matlab.unittest.qualifications
Assume value is false
assumeFalse(assumable,actual)
assumeFalse(assumable,actual,diagnostic)
assumeFalse(
assumes
that assumable
,actual
)actual
is a scalar logical with the value
of false.
assumeFalse(
also displays the diagnostic information in assumable
,actual
,diagnostic
)diagnostic
upon
a failure.
|
The |
|
The value to test. |
|
Diagnostic information related to the qualification, specified as one of the following:
Diagnostic values can be nonscalar. For more information, see |
For examples, see verifyFalse
,
and replace calls to verifyFalse
with assumeFalse
.
This method passes if and only if the actual value is a scalar logical with a value of false. Therefore, entities such as empty arrays, false valued arrays, and zero doubles produce failures when used in this method, despite these entities exhibiting "false-like" behavior such as bypassing the execution of code inside of "if" statements.
This method is functionally equivalent to:
import matlab.unittest.constraints.IsFalse; assumable.assumeThat(actual, IsFalse());
There exists more functionality when using the IsFalse
constraint
directly via assumeThat
.
Unlike assumeTrue
, this method may
create a new constraint for each call. For performance critical
uses, consider using assumeTrue
.
Use assumption qualifications to ensure that the test environment
meets preconditions that otherwise do not result in a test failure.
Assumption failures result in filtered tests, and the testing framework
marks the tests as Incomplete
. Alternatively,
Use verification qualifications to produce and record failures without throwing an exception. Since verifications do not throw exceptions, all test content runs to completion even when verification failures occur. Typically verifications are the primary qualification for a unit test since they typically do not require an early exit from the test. Use other qualification types to test for violation of preconditions or incorrect test setup. For more information, see matlab.unittest.qualifications.Verifiable
.
Use assertion qualifications when the failure condition
invalidates the remainder of the current test content, but does not
prevent proper execution of subsequent test methods. A failure at
the assertion point renders the current test method as failed and
incomplete. For more information, see matlab.unittest.qualifications.Assertable
.
Use fatal assertion qualifications to abort the test
session upon failure. These qualifications are useful when the failure
mode is so fundamental that there is no point in continuing testing.
These qualifications are also useful when fixture teardown does not
restore the MATLAB® state correctly and it is preferable to abort
testing and start a fresh session. For more information, see matlab.unittest.qualifications.FatalAssertable
.