return tsl::io::JoinPath(
        getenv("TEST_UNDECLARED_OUTPUTS_DIR"),
        absl::StrCat(test_info->test_suite_name(), ".", test_info->name()));
  }
};

TEST_F(InitPassManagerTest, CrashReproducer) {
  converter::DebugOptions debug_options;
  *debug_options.mutable_ir_dump_dir() = path_;

  mlir::PassManager pm(&context_);
  InitPassManager(pm, debug_options);

	in2 In2
	in3 In3
	out Out
}

func test1[In, Out any](t *testing.T, tests []testCase1[In, Out], name string, f func(In) Out) {
	t.Helper()
	for _, tt := range tests {
		if out := f(tt.in); !reflect.DeepEqual(out, tt.out) {
			t.Errorf("%s(%v) = %v, want %v", name, tt.in, out, tt.out)
		}
	}
}

func test2[In1, In2, Out any](t *testing.T, tests []testCase2[In1, In2, Out], name string, f func(In1, In2) Out) {

    }
    return absl::OkStatus();
  }

  DialectRegistry registry_;
  MLIRContext context_;
  OwningOpRef<mlir::ModuleOp> mlir_module_;
};

TEST_F(TensorflowDialectToExecutorTest, ConvertsToExecutor) {
  CellReader<int64_t> compilation_status(kExportStreamzName);

  TF_ASSERT_OK(CreateMlirModule("empty_func.mlir"));

//
// Error: test2 calls g instead of f

func test1(x I) {
	type J interface {
		I
		g()
	}
	x.(J).f()
	if callee != "f" {
		println("test1 called", callee)
		error_ = true
	}
}

func test2(x I) {
	type J interface {
		g()
		I
	}
	x.(J).f()
	if callee != "f" {
		println("test2 called", callee)
		error_ = true
	}
}

type J interface {
	g()
	I
}

func test3(x I) {

	if s.test5() != s.a5 {
		println("t4", 5)
		panic("fail")
	}
	if s.test6() != s.a6 {
		println("t4", 6)
		panic("fail")
	}
	if s.test7() != s.a7 {
		println("t4", 7)
		panic("fail")
	}

	// call interface
	if i.test1() != s.test1() {
		println("t5", 1)
		panic("fail")
	}
	if i.test2() != s.test2() {
		println("t5", 2)
		panic("fail")
	}
	if i.test3() != s.test3() {

using mlir::UnknownLoc;
using mlir::chlo::ChloDialect;
using mlir::TF::TensorFlowDialect;
using tensorflow::tf2xla::internal::IsInBridgeAcceptableDialects;

class SharedUtilsTest : public ::testing::Test {};

TEST_F(SharedUtilsTest, IsInFunctionalDialectPasses) {
  MLIRContext context;
  context.loadDialect<TensorFlowDialect>();
  OpBuilder opBuilder(&context);
  OperationState state(UnknownLoc::get(opBuilder.getContext()),

            assert it.group == "task group ${it.name-'test'}"
        }
    }

    def "provide getGroup on Task using GradleProject shouldn't fail if group is null"() {
        file("build.gradle") << '''
task test1()
task test2()
'''

        when:
        def gradleProject = withConnection { ProjectConnection connection ->
            connection.getModel(GradleProject)
        }

    string file_name_without_extension =
        absl::StrCat(testing::TensorFlowSrcRoot(), "/compiler/jit/tests/", key);

    return AutoClusteringTest::RunAutoClusteringTestWithGzippedPbtxt(
        absl::StrCat(file_name_without_extension, ".pbtxt.gz"),
        absl::StrCat(file_name_without_extension, ".golden_summary"));
  }
};

TEST_F(AutoClusteringTestImpl, KerasImagenetMain) {
  // Generated from
  //

}

// wait for outstanding tests to finish
func wait() {
	runtime.Gosched()
	for changeNproc(0) != 0 {
		runtime.Gosched()
	}
}

// run all tests with specified buffer size
func tests(c int) {
	ca := mkchan(c, 4)
	test1(ca[0])
	test1(ca[1])
	test1(ca[2])
	test1(ca[3])
	wait()

	test2(c)
	wait()

	test3(c)
	wait()

	test4(c)
	wait()

#include "tsl/platform/statusor.h"

namespace tensorflow {
namespace tf2xla {
namespace internal {

namespace {

using mlir::mhlo::test::GetMlirModuleFromString;

class VerifyClusteringPassTest : public testing::Test {
 protected:
  void CreateModule(const char* module_string) {
    TF_ASSERT_OK_AND_ASSIGN(module_,
                            GetMlirModuleFromString(module_string, &context_));