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.,
smokeorfast). 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_timeoutif 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
depsorexported_depsattributes. 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',
],
)