})
	t.Run("MergePcombine", func(t *testing.T) {
		t.Parallel()
		testMergeCombinePrograms(t, s)
	})
	t.Run("Dump", func(t *testing.T) {
		t.Parallel()
		testDump(t, s)
	})
	t.Run("Percent", func(t *testing.T) {
		t.Parallel()
		testPercent(t, s)
	})
	t.Run("PkgList", func(t *testing.T) {
		t.Parallel()
		testPkgList(t, s)
	})

		{1.6, 2},
		{2.4, 2},
		{2.5, 2},
		{2.6, 3},
	} {
		if got := math.RoundToEven(tt.x); got != tt.want {
			t.Errorf("RoundToEven(%f) = %f, want %f", tt.x, got, tt.want)
		}
	}
}

func TestFMA(t *testing.T) {
	for _, tt := range []struct {
		x, y, z, want float64
	}{
		{2, 3, 4, 10},
		{3, 4, 5, 17},
	} {
		if got := math.FMA(tt.x, tt.y, tt.z); got != tt.want {

            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 {

    ],
)

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

  }
  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(