"//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],
)

tf_cc_test(
    name = "while_loop_test",
    size = "medium",
    srcs = ["while_loop_test.cc"],
    deps = [
        ":c_api",
        ":c_test_util",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],
)

import org.gradle.util.internal.ClosureBackedAction
import org.gradle.util.internal.ConfigureUtil
import spock.lang.Specification

class ScriptSourceAwareImplementationResolverTest extends Specification {

    def "correct implementation for #type coerced to Action is tracked"() {
        expect:
        ScriptSourceAwareImplementationResolver.unwrapBean(implementation as Action) == implementation

        where:

      $resource,
      (TF_SubOp
        (CreateTFReadVariableOp $src_op, $value, $resource),
        $value
      ),
      (CreateConstBoolAttrFalse)
    )
  >;

// This decomposition is only correct inside XLA as it ignores use_locking
// attribute.
def DecomposeResourceApplyGradientDescentOp :
  Pat<
    (TF_ResourceApplyGradientDescentOp:$src_op $resource, $alpha, $delta, BoolAttr:$_),
    (TF_AssignVariableOp

package main
import "fmt"
func main() { fmt.Println("hello") }
`

func TestClobberDead(t *testing.T) {
	// Test that clobberdead mode generates correct program.
	runHello(t, "-clobberdead")
}

func TestClobberDeadReg(t *testing.T) {
	// Test that clobberdeadreg mode generates correct program.
	runHello(t, "-clobberdeadreg")
}

func runHello(t *testing.T, flag string) {
	if testing.Short() {

  operations.

  Offline mode really means anticipating a lack of network connectivity, and as
  a result turning off certain services provided by m2 and providing a coherent
  way of predicting and reporting when network-related failures will take place.
  It means warning users that since the network is missing, certain features and

        "@llvm-project//mlir:Transforms",
    ],
)

tf_cc_test(
    name = "tf_saved_model_test",
    srcs = ["ir/tf_saved_model_test.cc"],
    deps = [
        ":tensorflow",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/platform:test",
        "@llvm-project//mlir:FuncDialect",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Parser",

import spock.lang.Specification

class HttpHeaderAuthSchemeTest extends Specification {
    def "assure scheme name is correct"() {
        when:
        HttpHeaderAuthScheme headerAuthScheme = new HttpHeaderAuthScheme()

        then:
        headerAuthScheme.schemeName == "header"
    }

    def "test only correct credentials are supported"() {
        given:
        HttpHeaderAuthScheme headerAuthScheme = new HttpHeaderAuthScheme()

import org.gradle.launcher.daemon.logging.DaemonMessages

class DaemonAuthenticationIntegrationSpec extends DaemonIntegrationSpec {
    def "daemon discards build request that does not contain correct authentication token"() {
        when:
        buildSucceeds()
        def daemon = daemons.daemon
        daemon.assertIdle()

        then:
        daemon.assertRegistryNotWorldReadable()

        when:

        "//tensorflow/cc/experimental/base/public:status",
        "//tensorflow/cc/saved_model/experimental/public:saved_model_api",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],

    }

    def "build does not leak credentials in cache URL"() {
        httpBuildCacheServer.withBasicAuth("correct-username", "correct-password")
        settingsFile << """
            buildCache {
                remote.credentials {
                    username = "correct-username"
                    password = "correct-password"
                }
            }
        """

        when: