tf_cc_test(
    name = "stream_executor_test",
    srcs = ["stream_executor_test.cc"],
    deps = [
        ":stream_executor",
        ":stream_executor_internal",
        ":stream_executor_test_util",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/protobuf:error_codes_proto_impl_cc",
        "@local_tsl//tsl/platform:statusor",
        "@local_xla//xla/stream_executor",

// attached as an attribute.
std::unique_ptr<OperationPass<func::FuncOp>>
CreateMaterializePassthroughOpPass();

// Replicates the TensorList init op by undoing some CSE needed for correct
// shape assignment in shape_inference.
std::unique_ptr<OperationPass<func::FuncOp>>
CreateReplicateTensorListInitOpsPass();

// Performs Shape Inference on the TensorFlow dialect using the global registry.

    ],
)

tf_cc_test(
    name = "size_utils_test",
    size = "small",
    srcs = ["utils/size_utils_test.cc"],
    deps = [
        ":size_utils",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "@llvm-project//mlir:IR",
    ],
)

cc_library(
    name = "cost_estimators",
    hdrs = [
        "utils/arithmetic_count_util.h",
    ],

```

## Recap

You can add multiple body parameters to your *path operation function*, even though a request can only have a single body.

But **FastAPI** will handle it, give you the correct data in your function, and validate and document the correct schema in the *path operation*.

You can also declare singular values to be received as part of the body.

            }
        }

    fun createTypeCheckerContext(errorTypePolicy: KaSubtypingErrorTypePolicy): TypeCheckerState {
        // TODO use correct session here,
        return analysisSession.firResolveSession.useSiteFirSession.typeContext.newTypeCheckerState(
            errorTypesEqualToAnything = errorTypePolicy == KaSubtypingErrorTypePolicy.LENIENT,

     * else a dependency collection request will be done.
     *
     * @return the id of the path scope
     */
    String pathScope() default "";

    /**
     * The request type, in case the default one is not correct.
     * Valid values are {@code collect}, {@code flatten}, or {@code resolve}.
     *
     * @return the request type
     */
    String requestType() default "";

    srcs = ["mlir_graph_optimization_pass_test.cc"],
    deps = [
        ":mlir_graph_optimization_pass",
        "//tensorflow/core:core_cpu",
        "//tensorflow/core:ops",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/common_runtime:optimization_registry",
        "//tensorflow/core/framework:tensor_testutil",
        "//tensorflow/core/lib/monitoring:cell_reader",

)

tf_cc_test(
    name = "tf_mlir_translate_registration_test",
    size = "small",
    srcs = ["tf_mlir_translate_registration_test.cc"],
    deps = [
        ":translate_registration",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "@com_google_absl//absl/strings",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:TranslateLib",
    ],
)

cc_library(

	// For that individual storage API calls will fail properly. The purpose
	// of this function is to know if the "drive" has "format.json" or not
	// if it has a "format.json" then is it correct "format.json" or not.
	IsOnline() bool

	// Returns the last time this disk (re)-connected
	LastConn() time.Time

	// Indicates if disk is local or not.
	IsLocal() bool

	// Returns hostname if disk is remote.

            projectState.createMutableModel(coreAndPluginsScope, coreAndPluginsScope)
            val project = projectState.mutableModel
            // Build dir is restored in order to use the correct workspace directory for transforms of project dependencies when the build dir has been customized
            buildDirs[project.projectPath]?.let {
                project.layout.buildDirectory.set(it)
            }