d_test()
This is liable to change in the future.
Ad_test()
rule is used to define a set of D source files that contain tests to run via D's unittest support. The source code of the test must provide a main() function.Arguments
name
(required) #The short name for this build target.
srcs
(required) #The set of D source files to be compiled by this rule. Each element should be a string specifying a source file (e.g.
'foo/bar.d'
).labels
(defaults to[]
) #A list of labels to be applied to these tests. These labels are arbitrary text strings and have no meaning within buck itself. They can, however, have meaning for you as a test author (e.g.,
smoke
orfast
). A label can be used to filter or include a specificd_test()
rule when executingbuck test
.test_rule_timeout_ms
(defaults toNone
) #If set specifies the maximum amount of time (in milliseconds) in which all of the tests in this rule should complete. This overrides the default
rule_timeout
if any has been specified in[test].rule_timeout
.deps
(defaults to[]
) #The set of dependencies of this rule. Each element should be a string specifying a d_library rule defined elsewhere (e.g.
':foo'
or '//foo:bar').contacts
(defaults to[]
) #A list of organizational contacts for this test. These could be individuals who you would contact in the event of a test failure or other issue with the test.
contacts = [ 'Joe Sixpack', 'Erika Mustermann' ]
visibility
(defaults to[]
) #List of build target patterns that identify the build rules that can include this rule as a dependency, for example, by listing it in their
deps
orexported_deps
attributes. For more information, see visibility.licenses
(defaults to[]
) #Set of license files for this library. To get the list of license files for a given build rule and all of its dependencies, you can use
buck query
.labels
(defaults to[]
) #Set of arbitrary strings which allow you to annotate a build rule with tags that can be searched for over an entire dependency tree using
buck query attrfilter()
.
Examples
# A rule that builds and runs D test with a single source file. d_test( name = 'test', srcs = [ 'test.d', ], )