{nat{1}, nat{0, _M}, -1},
	{nat{1, _M}, nat{0, _M}, 1},
	{nat{0, _M}, nat{1, _M}, -1},
	{nat{16, 571956, 8794, 68}, nat{837, 9146, 1, 754489}, -1},
	{nat{34986, 41, 105, 1957}, nat{56, 7458, 104, 1957}, 1},
}

func TestCmp(t *testing.T) {
	for i, a := range cmpTests {
		r := a.x.cmp(a.y)
		if r != a.r {
			t.Errorf("#%d got r = %v; want %v", i, r, a.r)
		}
	}
}

type funNN func(z, x, y nat) nat
type argNN struct {

        succeeds 'checkDep'
        resolve.expectGraph {
            root(':', ':testproject:') {
                module('org.test:m4:1.0:runtime') {
                    module('org.test:m3:1.0') {
                        module('org.test:m2:1.0:runtime') {
                            module('org.test:m1:1.0')
                        }
                    }
                }
            }
        }
    }

        fixture.writeAnnotationProcessorTo(processorProjectDir)

        // The class that is the target of the processor
        file('src/main/java/TestApp.java') << '''
            @Helper
            class TestApp {
                public static void main(String[] args) {
                    System.out.println(new TestAppHelper().getValue()); // generated class
                }
            }

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)
}

class BinaryNativePlatformIntegrationTest extends AbstractInstalledToolChainIntegrationSpec {
    def testApp = new PlatformDetectingTestApp()
    def os = OperatingSystem.current()

    def setup() {
        buildFile << """
plugins {
    id 'cpp'
}
model {
    components {
        main(NativeExecutableSpec)
    }
}
"""

        testApp.writeSources(file("src/main"))
    }

        "//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",

  // You can implement all the usual class fixture members here.
};

// Then, use the TEST_P macro to define as many parameterized tests
// for this fixture as you want. The _P suffix is for "parameterized"
// or "pattern", whichever you prefer to think.

TEST_P(FooTest, DoesBlah) {
  // Inside a test, access the test parameter with the GetParam() method
  // of the TestWithParam<T> class:

        fixture.writeAnnotationProcessorTo(file("b"))

        // The class that is the target of the processor
        file("c/src/main/${language.name}/TestApp.${language.name}") << '''
            @Helper
            class TestApp {
                public static void main(String[] args) {
                    System.out.println(new TestAppHelper().getValue()); // generated class
                }
            }

    }

    @ToBeFixedForConfigurationCache
    def "create visual studio solution for executable that has diamond dependency"() {
        def testApp = new ExeWithDiamondDependencyHelloWorldApp()
        testApp.writeSources(file("src/main"), file("src/hello"), file("src/greetings"))

        buildFile << """
model {
    components {
        main(NativeExecutableSpec) {

### 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