}
		group[string(line[:i])] = string(bytes.TrimSpace(line[i+1:]))
	}
	processGroup()

	dups := make(map[string][]string)
	for name, addr := range want {
		if _, ok := dups[addr]; !ok {
			dups[addr] = make([]string, 0)
		}
		dups[addr] = append(dups[addr], name)
	}

nextWant:
	for name, wantAddr := range want {
		if haveAddr, ok := have[name]; ok {

# kube::util::read-array FOO < <(kube::golang::dups a b c a)
#
# ALWAYS remember to quote your subshells. Not doing so will break in
# bash 4.3, and potentially cause other issues.
# ------------

# Returns a sorted newline-separated list containing only duplicated items.
kube::golang::dups() {
  # We use printf to insert newlines, which are required by sort.

      Set<Object> seenKeys = new HashSet<>();
      BitSet dups = new BitSet(); // slots that are overridden by a later duplicate key
      for (int i = size - 1; i >= 0; i--) {
        Object key = requireNonNull(localAlternatingKeysAndValues[2 * i]);
        if (!seenKeys.add(key)) {
          dups.set(i);
        }
      }
      if (dups.isEmpty()) {
        return localAlternatingKeysAndValues;
      }

			// now on.
			dupCloexecUnsupported.Store(true)
		default:
			return -1, "fcntl", err
		}
	}
	return dupCloseOnExecOld(fd)
}

// Dup duplicates the file descriptor.
func (fd *FD) Dup() (int, string, error) {
	if err := fd.incref(); err != nil {
		return -1, "", err
	}
	defer fd.decref()
	return DupCloseOnExec(fd.Sysfd)
}

)

cc_library(
    name = "types",
    hdrs = ["types.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [],
)

cc_library(
    name = "component",
    hdrs = ["component.h"],
    compatible_with = get_compatible_with_portable(),
    deps = [
        "//tensorflow/compiler/mlir/quantization/stablehlo:quantization_config_proto_cc",
        "@com_google_absl//absl/status:statusor",

)

cc_library(
    name = "tac-opt_lib",
    testonly = True,
    deps = [
        ":target_aware_conversion",
        "//tensorflow/compiler/mlir:tf_mlir_opt_main",
    ],
    alwayslink = 1,
)

# Binary with no hardwares linked.
tf_cc_binary(
    name = "tac-opt",
    testonly = True,
    deps = [
        ":tac-opt_lib",
    ],
)

# Binary with all backends linked.

    deps = [":quant_td_files"],
)

gentbl_cc_library(
    name = "quantize_composite_functions_inc_gen",
    compatible_with = get_compatible_with_portable(),
    tbl_outs = [
        (
            ["-gen-rewriters"],
            "passes/quantize_composite_functions.inc",
        ),
    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "passes/quantize_composite_functions.td",

    ],
    tblgen = "@llvm-project//mlir:mlir-tblgen",
    td_file = "reducer/tf_mlir_reduce_patterns.td",
    deps = [
        "//tensorflow/compiler/mlir/tensorflow:tensorflow_ops_td_files",
    ],
)

cc_library(
    name = "tfe_legalize_tfg",
    srcs = [
        "passes.h",
        "tfg-to-tfe.cc",
    ],
    deps = [
        ":tf_device_pass_inc_gen",
        ":tf_pass_inc_gen",

    td_file = "runtime_fallback/runtime_fallback_ops.td",
    deps = [":runtime_fallback_ops_td_files"],
)

cc_library(
    name = "runtime_fallback_opdefs",
    srcs = [
        "runtime_fallback/runtime_fallback_combine.cc",
        "runtime_fallback/runtime_fallback_ops.cc",
    ],
    hdrs = [
        "runtime_fallback/runtime_fallback_ops.h",
    ],
    deps = [
        ":runtime_fallback_ops_inc_gen",

    hdrs = [
        "tf_mlir_translate_cl.h",
    ],
    deps = [
        "@llvm-project//llvm:Support",
    ],
    alwayslink = 1,
)

cc_library(
    name = "export_graphdef",
    srcs = [
        "export_graphdef.cc",
    ],
    hdrs = [
        "export_graphdef.h",
    ],
    visibility = ["//visibility:public"],
    deps = [
        ":export_tf_dialect_op",