apply plugin: 'swift-application'
            application.module = 'TestApp'
         """

        expect:
        succeeds "assemble"
        result.assertTasksExecuted(":compileDebugSwift", ":linkDebug", ":installDebug", ":assemble")

        file("build/obj/main/debug").assertIsDir()
        executable("build/exe/main/debug/TestApp").assertExists()

	if x.Equal(expected) != 1 {
		t.Errorf("%+v != %+v", x, expected)
	}
	x.Add(y, m)
	expected = &Nat{[]uint{7}}
	if x.Equal(expected) != 1 {
		t.Errorf("%+v != %+v", x, expected)
	}
}

func TestExp(t *testing.T) {
	m := modulusFromBytes([]byte{13})
	x := &Nat{[]uint{3}}
	out := &Nat{[]uint{0}}
	out.Exp(x, []byte{12}, m)
	expected := &Nat{[]uint{1}}
	if out.Equal(expected) != 1 {

	defer cancel()

	for i, testApp := range testApps {
		configCmds := []string{
			fmt.Sprintf("identity_openid:%d", i),
			fmt.Sprintf("config_url=%s/.well-known/openid-configuration", testApp.ProviderURL),
			fmt.Sprintf("client_id=%s", testApp.ClientID),
			fmt.Sprintf("client_secret=%s", testApp.ClientSecret),
			"scopes=openid,groups",
			fmt.Sprintf("redirect_uri=%s", testApp.RedirectURL),
		}

    ],
)

tf_custom_op_library(
    name = "test_op1.so",
    srcs = ["test_op1.cc"],
)

tf_kernel_library(
    name = "test_op_kernel",
    srcs = ["test_op.cc"],
    deps = [
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",
    ],
    alwayslink = 1,
)

tf_cuda_cc_test(
    name = "env_test",
    size = "medium",

    String i18nHash = "7fa826962ce2079c8334cd4ebf33aea4";
    assertEquals(i18nHash, Files.hash(i18nFile, Hashing.md5()).toString());
  }

  public void testMap() throws IOException {
    // Test data
    int size = 1024;
    byte[] bytes = newPreFilledByteArray(size);

    // Setup
    File file = createTempFile();
    Files.write(bytes, file);

    // Test

		if f := Erfcinv(Erfc(x)); !close(x, f) {
			t.Errorf("Erfcinv(Erfc(%g)) = %g, want %g", x, f, x)
		}
	}
}

func TestExp(t *testing.T) {
	testExp(t, Exp, "Exp")
	testExp(t, ExpGo, "ExpGo")
}

func testExp(t *testing.T, Exp func(float64) float64, name string) {
	for i := 0; i < len(vf); i++ {
		if f := Exp(vf[i]); !veryclose(exp[i], f) {

  }
  return true;
}

using DeviceNames = llvm::SmallVector<std::string, 8>;

struct ParameterizedDeviceSetTest
    : ::testing::TestWithParam<std::tuple<DeviceNames, std::string>> {};

TEST_P(ParameterizedDeviceSetTest, BadDeviceSet) {
  llvm::SmallVector<Device, 8> devices;
  ASSERT_TRUE(DeviceNamesToParsedNames(std::get<0>(GetParam()), &devices));
  std::string topology_attr;

	}
	var t7p Type7
	if err := encAndDec(t7, &t7p); err != nil {
		t.Error(err)
	}
}

var testInt int
var testFloat32 float32
var testString string
var testSlice []string
var testMap map[string]int
var testArray [7]int

type SingleTest struct {
	in  any
	out any
	err string
}

var singleTests = []SingleTest{
	{17, &testInt, ""},
	{float32(17.5), &testFloat32, ""},

}

class FusedBatchNormGradTest : public NNGradTest,
                               public ::testing::WithParamInterface<
                                   std::tuple<bool, bool, TensorShape>> {};

TEST_P(FusedBatchNormGradTest, FusedBatchNormV3Grad) {
  FusedBatchNormV3::Attrs attrs;
  attrs.is_training_ = std::get<0>(GetParam());
  bool channel_first = std::get<1>(GetParam());
  TensorShape shape = std::get<2>(GetParam());

        assertViolations(result, 0, 4, 0);

        assertContains(
                result.getErrors().get(0), "'build.plugins.plugin.version' for test:mip must be a valid version");
        assertContains(
                result.getErrors().get(1), "'build.plugins.plugin.version' for test:rmv must be a valid version");
        assertContains(