package_group(
    name = "friends",
    includes = [
        "//tensorflow/compiler/tf2xla:friends",
    ],
)

# defs.cc/h only contains string constants, and can be included in mobile
# builds.
filegroup(
    name = "mobile_srcs_no_runtime",
    srcs = [
        "defs.cc",
        "defs.h",
    ],
    visibility = [":friends"],
)

# Target that bundles up the XLA CPU and GPU JIT devices.
cc_library(

				t.Fatalf("found %d identifiers named %s, want 1", got, test.name)
			}
			ident := idents[test.name][0]
			def := info.Defs[ident]
			if def == test.obj {
				t.Fatalf("info.Defs[%s] contains the test object", test.name)
			}
			if orig := originObject(test.obj); def != orig {
				t.Errorf("info.Defs[%s] does not match obj.Origin()", test.name)
			}
			if def.Pkg() != test.obj.Pkg() {

				t.Fatalf("found %d identifiers named %s, want 1", got, test.name)
			}
			ident := idents[test.name][0]
			def := info.Defs[ident]
			if def == test.obj {
				t.Fatalf("info.Defs[%s] contains the test object", test.name)
			}
			if orig := originObject(test.obj); def != orig {
				t.Errorf("info.Defs[%s] does not match obj.Origin()", test.name)
			}
			if def.Pkg() != test.obj.Pkg() {

// during memory allocation) further ensures that chunks it identifies as "dense" are
// immediately eligible for being backed by huge pages. Note that for the most part these
// density heuristics are best-effort heuristics. It's totally possible (but unlikely)
// that a chunk that just became dense is scavenged in the case of a race between memory
// allocation and scavenging.
//

        // This test exists because a NullPointerException was thrown by getTaskDependencyFromProjectDependency()
        // if the rootProject defined a task as the same name as a subproject task, but did not define the same configuration.

        def configuration = conf()

        def mainTask = Mock(Task)
        def rootProject = Mock(Project)
        def taskProject = Mock(Project)

    write_action_env_to_bazelrc('TF_SYSTEM_LIBS', syslibs)

  for varname in ('PREFIX', 'LIBDIR', 'INCLUDEDIR', 'PROTOBUF_INCLUDE_PATH'):
    if varname in environ_cp:
      write_to_bazelrc('build --define=%s=%s' % (varname, environ_cp[varname]))


def set_windows_build_flags(environ_cp):
  """Set Windows specific build options."""

  # First available in VS 16.4. Speeds up Windows compile times by a lot. See

# On Linux, tell the linker (-Wl,<option>) to use a version script that
# excludes all but a subset of function names.
# On MacOS, the linker does not support version_script, but has an
# an "-exported_symbols_list" command.  -z defs disallows undefined
# symbols in object files.

tf_cc_shared_object(
    name = "tensorflow",
    linkopts = select({
        "//tensorflow:macos": [

    public DefaultServiceRegistry add(Object serviceInstance) {
        return add(serviceInstance.getClass(), serviceInstance);
    }

    /**
     * Adds a service provider bean to this registry. This provider may define factory and decorator methods.
     */
    public DefaultServiceRegistry addProvider(ServiceRegistrationProvider provider) {
        assertMutable();
        findProviderMethods(provider);
        return this;
    }

        when:
        registry.add(ServiceRegistry, new DefaultServiceRegistry())

        then:
        def e = thrown(IllegalArgumentException)
        e.message == 'Cannot define a service of type ServiceRegistry: Service ServiceRegistry with implementation DefaultServiceRegistry'
    }

    def failsWhenProviderFactoryMethodProducesAServiceOfTypeServiceRegistry() {

//
#ifndef GTEST_INCLUDE_GTEST_GTEST_PARAM_TEST_H_
#define GTEST_INCLUDE_GTEST_GTEST_PARAM_TEST_H_


// Value-parameterized tests allow you to test your code with different
// parameters without writing multiple copies of the same test.
//
// Here is how you use value-parameterized tests:

#if 0

// To write value-parameterized tests, first you should define a fixture