const (
	// mod is the largest prime that is less than 65536.
	mod = 65521
	// nmax is the largest n such that
	// 255 * n * (n+1) / 2 + (n+1) * (mod-1) <= 2^32-1.
	// It is mentioned in RFC 1950 (search for "5552").
	nmax = 5552
)

// The size of an Adler-32 checksum in bytes.
const Size = 4

// digest represents the partial evaluation of a checksum.
// The low 16 bits are s1, the high 16 bits are s2.
type digest uint32

	SYS_SHUTDOWN                = 5047
	SYS_BIND                    = 5048
	SYS_LISTEN                  = 5049
	SYS_GETSOCKNAME             = 5050
	SYS_GETPEERNAME             = 5051
	SYS_SOCKETPAIR              = 5052
	SYS_SETSOCKOPT              = 5053
	SYS_GETSOCKOPT              = 5054
	SYS_CLONE                   = 5055
	SYS_FORK                    = 5056
	SYS_EXECVE                  = 5057
	SYS_EXIT                    = 5058

	SYS_SHUTDOWN                = 5047
	SYS_BIND                    = 5048
	SYS_LISTEN                  = 5049
	SYS_GETSOCKNAME             = 5050
	SYS_GETPEERNAME             = 5051
	SYS_SOCKETPAIR              = 5052
	SYS_SETSOCKOPT              = 5053
	SYS_GETSOCKOPT              = 5054
	SYS_CLONE                   = 5055
	SYS_FORK                    = 5056
	SYS_EXECVE                  = 5057
	SYS_EXIT                    = 5058

	                   Exponent: 65537 (0x10001)
	           X509v3 extensions:
	               X509v3 Subject Key Identifier:
	                   56:A5:55:02:8C:97:FD:1E:A0:B8:DE:EF:5E:95:F0:AC:A6:23:6F:16
	               X509v3 Authority Key Identifier:
	                   56:A5:55:02:8C:97:FD:1E:A0:B8:DE:EF:5E:95:F0:AC:A6:23:6F:16
	               X509v3 Basic Constraints: critical
	                   CA:TRUE

        false // TODO This test can pass on Windows with proper locale, this force the test to fail, remove once fixed
    }

    @Requires(UnitTestPreconditions.UnixDerivative)
    @Issue("https://github.com/gradle/gradle/issues/2552")
    def "copying files to a directory with named pipes fails"() {
        def input = file("input.txt").createFile()

        def outputDirectory = file("output").createDir()

        then:
        assertThat(result.output, containsString('hello'))

        and:
        proxyServer.requestCount == 2
    }

    @Issue('https://github.com/gradle/gradle/issues/5052')
    def "downloads wrapper via authenticated proxy"() {
        given:
        proxyServer.start('my_user', 'my_password')

        and:
        server.expect(server.head("/$TEST_DISTRIBUTION_URL"))

	return uint16(x)
}

func TestShiftOverflow(t *testing.T) {
	if v, w, z := variableShiftOverflow64x8(-64, makeU8(255), 2); v != -32 || w != -128 || z != 0x7fffffffffffffe0 {
		t.Errorf("got %d %d 0x%x, expected -32 -128 0x7fffffffffffffe0", v, w, z)
	}
	if v, w, z := variableShiftOverflow32x8(-64, makeU8(255), 2); v != -32 || w != -128 || z != 0x7fffffe0 {
		t.Errorf("got %d %d 0x%x, expected -32 -128 0x7fffffe0", v, w, z)
	}

     * When this issue gets fixed in a future Kotlin version, remove -XXLanguage:-TypeEnhancementImprovementsInStrictMode from Kotlin DSL compiler arguments.
     */
    @Test
    @Issue("https://youtrack.jetbrains.com/issue/KT-55542")
    @ToBeImplemented
    fun `nullable type parameters on non-nullable member works without disabling Koltlin type enhancement improvements in strict mode`() {
        withBuildScript("""

	//     44  .  .  .  .  .  }
	//     45  .  .  .  .  }
	//     46  .  .  .  .  Rbrace: 5:1
	//     47  .  .  .  }
	//     48  .  .  }
	//     49  .  }
	//     50  .  FileStart: 1:1
	//     51  .  FileEnd: 5:3
	//     52  .  Scope: *ast.Scope {
	//     53  .  .  Objects: map[string]*ast.Object (len = 1) {
	//     54  .  .  .  "main": *(obj @ 11)
	//     55  .  .  }
	//     56  .  }

  TensorShape x_shape({5, 2});
  auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape));
  auto y = Diag(scope_, x);
  TensorShape y_shape({5, 2, 5, 2});
  RunTest(x, x_shape, y, y_shape);
}

TEST_F(ArrayGradTest, DiagPartGrad) {
  TensorShape x_shape({5, 2, 5, 2});
  auto x = Placeholder(scope_, DT_FLOAT, Placeholder::Shape(x_shape));
  auto y = DiagPart(scope_, x);
  TensorShape y_shape({5, 2});