func (t *testImpl) RequireIstioVersion(version string) Test {
	t.minIstioVersion = version
	return t
}

func (t *testImpl) RequireKubernetesMinorVersion(minorVersion uint) Test {
	t.minKubernetesMinorVersion = minorVersion
	return t
}

func (t *testImpl) Run(fn func(ctx TestContext)) {
	t.runInternal(fn, false)
}

func (t *testImpl) RunParallel(fn func(ctx TestContext)) {
	t.runInternal(fn, true)
}

        "//tensorflow/core:lib_internal",
        "//tensorflow/core:tensorflow",
        "//tensorflow/core:testlib",
    ],
)

tf_gen_op_wrappers_cc(
    name = "test_op",
    op_lib_names = [
        "test_op",
    ],
)

cc_library(
    name = "queue_runner",
    srcs = ["training/queue_runner.cc"],
    hdrs = ["training/queue_runner.h"],
    deps = [
        ":coordinator",

### Testy

* 100% <abbr title="Ilość kodu, który jest automatycznie testowany">pokrycia kodu testami</abbr>.
* 100% <abbr title="Deklaracje typów Python - dzięki nim twój edytor i zewnętrzne narzędzia mogą zapewnić Ci lepsze wsparcie ">adnotacji typów</abbr>.
* Używany w aplikacjach produkcyjnych.

## Cechy Starlette

	test *testImpl

	// The underlying Go testing.T for this context.
	*testing.T

	// suite-level context
	suite *suiteContext

	// resource scope for this context.
	scope *scope

	// The workDir for this particular context
	workDir string
}

namespace internal {

// INTERNAL IMPLEMENTATION - DO NOT USE IN USER CODE.
//
// Outputs a message explaining invalid registration of different
// fixture class for the same test case. This may happen when
// TEST_P macro is used to define two tests with the same name
// but in different namespaces.
GTEST_API_ void ReportInvalidTestCaseType(const char* test_case_name,
                                          const char* file, int line);

        assertThat(WildcardType.class.isInstance(GenericsUtil.getElementTypeOfSet(t3)), is(true));
    }

    /**
     * @throws Exception
     */
    public void testMap() throws Exception {
        final Method m1 = MapType.class.getMethod("mapOfStringToObject");
        final Type t1 = m1.getGenericReturnType();
        assertThat(GenericsUtil.isTypeOf(t1, Map.class), is(true));

	})
	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)
	})

            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()

    ],
)

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",

  }
  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;