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
	}

        "//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",

					t.Fatalf("column id primary key should be correct, name: %v, column: %#v", columnType.Name(),
						columnType)
				}
			case "name":
				dataType := DB.Dialector.DataTypeOf(stmt.Schema.LookUpField(columnType.Name()))
				if !strings.Contains(strings.ToUpper(dataType), strings.ToUpper(columnType.DatabaseTypeName())) {
					t.Fatalf("column name type should be correct, name: %v, length: %v, expects: %v, column: %#v",

		"Please set the correct default KMS key value or the correct root credentials for older MinIO versions.",
		`Revert MINIO_KMS_KES_KEY_NAME or MINIO_ROOT_USER/MINIO_ROOT_PASSWORD (for older MinIO versions) to be able to decrypt the internal data again.`,
	)

	ErrInvalidCredentials = newErrFn(
		"Invalid credentials",
		"Please provide correct credentials",

    The correct place is:

    * In the key `content`, that has as value another JSON object (`dict`) that contains:
        * A key with the media type, e.g. `application/json`, that contains as value another JSON object, that contains:
            * A key `schema`, that has as the value the JSON Schema from the model, here's the correct place.

        jar.manifest != null
        jar.metaInf != null
    }

    def "correct jar manifest"() {
        when:
        jar.manifest = new DefaultManifest(null)
        jar.manifest {
            attributes(key: 'value')
        }

        then:
        jar.manifest.attributes.key == 'value'
    }

    def "correct jar manifest from null manifest"() {
        when:
        jar.manifest = null

    deps = [
        ":cpp",
        "//tensorflow/core:core_cpu",
        "//tensorflow/core:framework",
        "//tensorflow/core:lib",
        "//tensorflow/core:test",
        "//tensorflow/core:test_main",
        "//tensorflow/core:testlib",
    ],