new File(srcDir, "src2.txt").text = "123"
                }
            }
            task transform2(type: DirTransformerTask) {
                mustRunAfter src1, src2
                inputDir = srcDir
                outputDir = file("out-2")
            }
"""

        when:
        run "src1", "transform1", "src2", "transform2"

    ],
)

td_library(
    name = "rewrite_util_td_files",
    srcs = [
        "rewrite_util.td",
    ],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "@llvm-project//mlir:OpBaseTdFiles",
    ],
)

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

		Start:                  src.Start,
		Limit:                  src.Limit,
		Offset:                 src.Offset,
		File:                   src.File,
		KernelRelocationSymbol: src.KernelRelocationSymbol,
		BuildID:                src.BuildID,
		HasFunctions:           src.HasFunctions,
		HasFilenames:           src.HasFilenames,
		HasLineNumbers:         src.HasLineNumbers,
		HasInlineFrames:        src.HasInlineFrames,
	}

)

cc_library(
    name = "utils",
    srcs = [
        "utils/utils.cc",
    ],
    hdrs = [
        "utils/utils.h",
    ],
    deps = [
        ":tfr",
        "@llvm-project//llvm:Support",
        "@llvm-project//mlir:IR",
        "@llvm-project//mlir:Support",
    ],
)

cc_library(
    name = "passes",
    srcs = [
        "passes/canonicalize.cc",

        "@llvm-project//mlir:Support",
    ],
)

cc_library(
    name = "math_utils",
    srcs = ["utils/math_utils.cc"],
    hdrs = ["utils/math_utils.h"],
    compatible_with = get_compatible_with_portable(),
    deps = ["@llvm-project//mlir:Support"],
)

tf_cc_test(
    name = "math_utils_test",
    srcs = ["utils/math_utils_test.cc"],
    deps = [
        ":math_utils",

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

cc_library(
    name = "concrete_function",
    srcs = [
        "concrete_function.cc",
    ],
    hdrs = [
        "//tensorflow/c/experimental/saved_model/public:concrete_function.h",
    ],
    copts = tf_copts(),
    visibility = [

	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 {

// 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 "-"
	}

// 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 "-"
	}

          {{"two"},
           "Const",
           {},
           {{"value", test::AsScalar<int32>(2)}, {"dtype", DT_INT64}}},
          {{"scale"},
           "Cast",
           {"two"},
           {{"SrcT", DT_INT64}, {"DstT", DT_FLOAT}}},
          {{"y"}, "Mul", {"x", "scale"}, {{"T", DT_FLOAT}}},
      });

  tensorflow::set_tf2_execution(true);
  FunctionDefLibrary flib;
  *flib.add_function() = fd;