}

    /**
     * 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()

eliavem <******@****.***> 1639010764 -0800

// after the panic call in testPanic.
func verifyPanic() {
	if coverTest.Count[panicIndex-1] != 1 {
		// Sanity check for test before panic.
		fmt.Fprintf(os.Stderr, "bad before panic")
		PASS = false
	}
	if coverTest.Count[panicIndex] != 0 {
		fmt.Fprintf(os.Stderr, "bad at panic: %d should be 0\n", coverTest.Count[panicIndex])
		PASS = false
	}
	if coverTest.Count[panicIndex+1] != 1 {
		fmt.Fprintf(os.Stderr, "bad after panic")

	//
	// 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",
    ],
)

        ":testutil",
        "//tensorflow/core:all_kernels",
        "//tensorflow/core:framework",
        "//tensorflow/core:framework_internal",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core:testlib",
    ],
)

tf_cc_test(
    name = "framework_while_gradients_test",
    size = "small",

        "//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",

import XCTest

XCTMain([
    testCase(CoreTest.allTests)

    deps = [
        ":libtf",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/platform:statusor",
    ],
)

tf_cc_test(
    name = "libtf_perf_test",
    size = "medium",
    srcs = ["tests/perf_test.cc"],
    deps = [
        ":libtf",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
    ],
)

import XCTest

XCTMain([
    testCase(CoreTest.allTests)