}

    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:

// Correct

	// If "1e23+8388608" is implemented as "1e23" + "8388608",
	// that ends up computing 1e23-8388608 + 8388608 = 1e23,
	// which rounds back to 1e23-8388608.
	// The correct answer, of course, would be "1e23+8388608" = 1e23+8388608.
	// This is not going to be correct until 6g has multiprecision floating point.
	// A simpler case is "1e23+1", which should also round to 1e23+8388608.
	Test{1e23 + 8.388608e6, "1e23+8.388608e6", "1.0000000000000001e+23"},

		return err
	}
	if d.debug {
		fmt.Fprintf(os.Stderr, "=-= after readHeader: %+v\n", d.hdr)
	}
	return nil
}

func (d *CoverageMetaDataDecoder) readStringTable() error {
	// Seek to the correct location to read the string table.
	stringTableLocation := int64(coverage.CovMetaHeaderSize + 4*d.hdr.NumFuncs)
	if _, err := d.r.Seek(stringTableLocation, io.SeekStart); err != nil {
		return err
	}

Correctness:

Vet's checks are about correctness, not style. A vet check must identify real or
potential bugs that could cause incorrect compilation or execution. A check that
only identifies stylistic points or alternative correct approaches to a situation
is not acceptable.

Frequency:

Vet is run every day by many programmers, often as part of every compilation or
submission. The cost in execution time is considerable, especially in aggregate,

func (x *RWS) String() string                                     { return "rws" }

func makeRWS() io.ReadWriteSeeker { return &RWS{} }
func makeStringer() fmt.Stringer  { return &RWS{} }

// Test correct construction of static empty interface values
var efaces = [...]struct {
	x interface{}
	s string
}{
	{nil, "<nil> <nil>"},
	{1, "int 1"},
	{int(1), "int 1"},
	{Int(int(2)), "main.Int Int=2"},

        "//tensorflow/core:core_cpu",
        "//tensorflow/core:framework_internal",
        "//tensorflow/core:protos_all_cc",
        "//tensorflow/core:tensorflow",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core:testlib",
    ],

tf_cc_tests(
    name = "all_tests",
    size = "small",
    srcs = glob(["*_test.cc"]),
    deps = [
        ":common",
        "//tensorflow/core:core_cpu",
        "//tensorflow/core:framework",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core:testlib",
        "//tensorflow/core/platform:types",
    ],

        ":calibration_statistics_collector_histogram",
        ":calibration_statistics_collector_min_max",
        ":calibration_statistics_proto_cc",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "@com_google_googletest//:gtest_main",
    ],
)

tf_kernel_library(
    name = "custom_aggregator_op",
    srcs = ["custom_aggregator_op.cc"],

    tags = ["no_oss"],
    deps = [
        "//tensorflow/compiler/mlir/tensorflow",
        "//tensorflow/compiler/mlir/tfrt:import_model",
        "//tensorflow/compiler/mlir/tfrt:saved_model",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core/platform:resource_loader",
        "@com_google_absl//absl/strings",
        "@com_google_googletest//:gtest_main",
        "@llvm-project//mlir:IR",