}

// NewCoreGenericConfig returns a new core rest generic config.
func (c *CompletedConfig) NewCoreGenericConfig() *corerest.GenericConfig {
	return &corerest.GenericConfig{
		StorageFactory:              c.Extra.StorageFactory,
		EventTTL:                    c.Extra.EventTTL,
		LoopbackClientConfig:        c.Generic.LoopbackClientConfig,

import XCTest

class CoreTest: XCTestCase {
    public static var allTests = [
        ("testOk", testOk)
    ]

    func testOk() {
        print("hello from CoreTest.")
    }

package org.gradle.sample;

import org.junit.Test;

public class CoreTest {
    @Test
    public void ok() {
        System.out.println("hello from CoreTest.");
    }

import XCTest

class CoreTest: XCTestCase {
    public static var allTests = [
        ("testOk", testOk)
    ]

    func testOk() {
        print("hello from CoreTest.")
    }

package org.gradle.sample;

import org.junit.Test;

public class CoreTest {
    @Test
    public void ok() {
        System.out.println("hello from CoreTest.");
    }

Filip Křepinský <******@****.***> 1693576719 +0200

    }

    /**
     * Formats a nice error message by using a {@link TreeFormatter}.
     *
     * <p>
     * Idea for this method is that you can pass a higher-level {@link TreeFormatter} into here, and get a coherent, nice error message printed out - so the user will see a nice chain of causes.
     */
    public void formatMessage(TreeFormatter formatter) {
        final String documentLink = new DocumentationRegistry()

	//
	// There's a lot of state manipulation performed with shortcuts
	// but we need to make sure the tracer can only observe the
	// start and end states to maintain a coherent model and avoid
	// emitting an event for every single transition.
	trace := traceAcquire()

	if locked {
		// Detach the goroutine from the thread; we'll attach to the goroutine we're

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

cc_library(
    name = "scalars",
    hdrs = [
        "scalars.h",
    ],
)

tf_cc_test(
    name = "scalars_test",
    size = "small",
    srcs = ["scalars_test.cc"],
    deps = [
        ":scalars",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],
)

        "//tensorflow/core:core_cpu",
        "//tensorflow/core:framework",
        "//tensorflow/core:graph",
        "//tensorflow/core:lib",
        "//tensorflow/core:lib_internal",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/tools/optimization:optimization_pass_runner_lib",
        "@com_google_absl//absl/strings",
        "@local_xla//xla:status_macros",