}

    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:

                    "proper OpenAPI use another model with the correct field names"
                )
            }
        )
    else:

        class Config:
            schema_extra = {
                "description": (
                    "response_model_by_alias=False is basically a quick hack, to support "
                    "proper OpenAPI use another model with the correct field names"
                )
            }

	string(config.LeastAllocated),
	string(config.MostAllocated),
	string(config.RequestedToCapacityRatio),
)

// ValidateDefaultPreemptionArgs validates that DefaultPreemptionArgs are correct.
func ValidateDefaultPreemptionArgs(path *field.Path, args *config.DefaultPreemptionArgs) error {
	var allErrs field.ErrorList
	percentagePath := path.Child("minCandidateNodesPercentage")

  let summary = "Convert fallback tensor to corert tensorhandle";

  let description = [{
    Convert the fallback tensor to corert tensorhandle.

    args: a list of fallback tensors.
    device: the name of the tensorflow device that is associated with the
      input fallback tensors.

    results: the converted corert tensorhandles.
  }];

  let arguments = (ins

        }
    }

    @ToBeFixedForConfigurationCache(because = "build listener")
    def 'projectsLoaded listeners are attributed to the correct registrant'() {
        given:
        def addGradleListeners = { String source ->
            """
                gradle.projectsLoaded({
                    println "gradle.projectsLoaded(Action) from $source"

        "//tensorflow/compiler/mlir/tensorflow:attribute_utils",
        "//tensorflow/compiler/tf2xla:xla_op_registry",
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core/lib/monitoring:cell_reader",
        "//tensorflow/core/platform:resource_loader",
        "//tensorflow/core/tpu:tpu_defs",
        "@com_google_absl//absl/status",

    srcs = ["mlir_pass_instrumentation_test.cc"],
    deps = [
        ":mlir_pass_instrumentation",
        "//tensorflow/compiler/mlir/tf2xla/api/v1:compile_mlir_util_no_tf_dialect_passes",
        "//tensorflow/core:test",
        "@com_google_googletest//:gtest_main",
    ],
)

cc_library(
    name = "legalize_tf_mlir",
    srcs = ["legalize_tf_mlir.cc"],
    hdrs = ["legalize_tf_mlir.h"],
    deps = [

	fmt.Printf("%z", FormatterVal(true))        // correct (the type is responsible for formatting)
	fmt.Printf("%d", FormatterVal(true))        // correct (the type is responsible for formatting)
	fmt.Printf("%s", nonemptyinterface)         // correct (the type is responsible for formatting)

			// No error when we need to create the Endpoints but the correct
			// EndpointSlice already exists
			expectedError:  nil,
			expectedResult: endpoints1,
			expectCreate:   []runtime.Object{endpoints1},
			initialState:   []runtime.Object{epSlice1},
			namespaceParam: endpoints1.Namespace,
			endpointsParam: endpoints1,
		},
		"existing-endpointslice-correct": {

        cost == remoteAnswer

        where:
        remoteAnswer << MetadataFetchingCost.values()
    }

    def "estimates cost for missing metadata is correct (remote says #remoteAnswer, must refresh = #mustRefreshMissingModule)"() {
        def module = Mock(ModuleComponentIdentifier)
        def localAccess = repo.localAccess