)

cc_library(
    name = "tape_context",
    srcs = ["tape_context.cc"],
    hdrs = [
        "tape_context.h",
    ],
    visibility = [
        "//tensorflow:internal",
    ],
    deps = [
        ":tape_operation",
        "//tensorflow/c/eager:abstract_context",
    ],
)

cc_library(
    name = "tape_operation",
    srcs = ["tape_operation.cc"],
    hdrs = [
        "tape_operation.h",

	si := 0
	for strconv.IntSize >= 64 && len(src)-si >= 8 && len(dst)-n >= 8 {
		src2 := src[si : si+8]
		if dn, ok := assemble64(
			enc.decodeMap[src2[0]],
			enc.decodeMap[src2[1]],
			enc.decodeMap[src2[2]],
			enc.decodeMap[src2[3]],
			enc.decodeMap[src2[4]],
			enc.decodeMap[src2[5]],
			enc.decodeMap[src2[6]],
			enc.decodeMap[src2[7]],
		); ok {
			binary.BigEndian.PutUint64(dst[n:], dn)

	src_   = flag.String("src", "parser.go", "source file to parse")
	skip   = flag.String("skip", "", "files matching this regular expression are skipped by TestStdLib")
)

func TestParse(t *testing.T) {
	ParseFile(*src_, func(err error) { t.Error(err) }, nil, 0)
}

func TestVerify(t *testing.T) {
	ast, err := ParseFile(*src_, func(err error) { t.Error(err) }, nil, 0)
	if err != nil {

# For more information, see: https://github.com/kubernetes/kubernetes/pull/91452
BIN.linux = pause
BIN.windows = pause wincat
BIN := ${BIN.${OS}}
SRCS.linux = linux/pause.c
SRCS.windows = windows/pause.c
SRCS := ${SRCS.${OS}}

EXTENSION.linux =
EXTENSION.windows = .exe
EXTENSION := ${EXTENSION.${OS}}

# The manifest command is still experimental as of Docker 18.09.3

Contents of src
src/dir1
src/file1.txt
Contents of src2
src2/dir1

// between). Otherwise the line is ignored.
func parseFlags(src []byte, flags *flag.FlagSet) error {
	// we must have a line comment that starts with a "-"
	const prefix = "//"
	if !bytes.HasPrefix(src, []byte(prefix)) {
		return nil // first line is not a line comment
	}
	src = src[len(prefix):]
	if i := bytes.Index(src, []byte("-")); i < 0 || len(bytes.TrimSpace(src[:i])) != 0 {
		return nil // comment doesn't start with a "-"
	}

)

config_setting(
    name = "disable_mlir_config",
    flag_values = {":disable_mlir": "True"},
    visibility = ["//visibility:public"],
)

cc_library(
    name = "mlir",
    srcs = ["mlir.cc"],
    hdrs = ["mlir.h"],
    deps = [
        "@com_google_absl//absl/algorithm:container",
        "@com_google_absl//absl/container:flat_hash_set",
        "@com_google_absl//absl/container:inlined_vector",

)

# Run this binary manually, with an argument pointing to the testdata/
# directory, to generate the test files used by the filegroup rule below.
py_strict_binary(
    name = "gen_saved_models",
    srcs = ["gen_saved_models.py"],
    python_version = "PY3",
    deps = [
        "//tensorflow/python/compat:v2_compat",
        "//tensorflow/python/eager:def_function",
        "//tensorflow/python/framework:constant_op",

cc_library(
    name = "tensor_types_test_util",
    testonly = True,
    hdrs = ["tensor_types_test_util.h"],
    deps = [
        "//tensorflow/c:tf_datatype",
    ],
)

tf_cc_test(
    name = "tensor_test",
    srcs = [
        "tensor_test.cc",
    ],
    deps = [
        ":tensor_types_test_util",
        "//tensorflow/c:tf_datatype",
        "//tensorflow/cc/experimental/base/public:status",

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    default_visibility = ["//visibility:public"],
    licenses = ["notice"],
)

tf_py_clif_cc(
    name = "loader",
    srcs = ["loader.clif"],
    deps = [
        "//tensorflow/cc/saved_model:loader",
    ],