SED="sed"
  elif command -v gsed &>/dev/null; then
    SED="gsed"
  else
    kube::log::error "Failed to find GNU sed as sed or gsed. If you are on Mac: brew install gnu-sed." >&2
    return 1
  fi
  kube::util::sourced_variable "${SED}"
}

# kube::util::ensure-gnu-date
# Determines which date binary is gnu-date on linux/darwin
#
# Sets:
#  DATE: The name of the gnu-date binary
#

	sed -e '1 i {{- if .Values.global.configCluster }}' -e '$$ a {{- end }}' manifests/charts/istio-control/istio-discovery/templates/validatingadmissionpolicy.yaml > manifests/charts/istiod-remote/templates/validatingadmissionpolicy.yaml
	sed -e '1 i {{- if .Values.global.configCluster }}' -e '$$ a {{- end }}' manifests/charts/base/templates/default.yaml > manifests/charts/istiod-remote/templates/default.yaml

}

# setup_kind_cluster creates new KinD cluster with given name, image and configuration
# 1. NAME: Name of the Kind cluster (optional)
# 2. IMAGE: Node image used by KinD (optional)
# 3. CONFIG: KinD cluster configuration YAML file. If not specified then DEFAULT_CLUSTER_YAML is used
# 4. NOMETALBINSTALL: Dont install matllb if set.
# This function returns 0 when everything goes well, or 1 otherwise

    cmd = "CUDA_VISIBLE_DEVICES='' " +
          "$(location :make_test_graphs) --out_dir $(@D)",
    tags = ["manual"],
    tools = [":make_test_graphs"],
)

# This list is used to run tf_compile on the compiled graphs used by
# tfcompile_test. The test is run for several different configurations of
# tf_compile, so this allows the configurations to be specified in one place.
# suffix, mlir_component

            md5.update(clientChallenge, 0, 8);
            System.arraycopy(md5.digest(), 0, sessionHash, 0, 8);
        } catch (GeneralSecurityException gse) {
            if (log.level > 0)
                gse.printStackTrace(log);
            throw new RuntimeException("MD5", gse);
        }

        byte[] key = new byte[21];
        System.arraycopy(nTOWFv1, 0, key, 0, 16);
        byte[] ntResponse = new byte[24];

#
#       Gradle is a meta-build system used by the project that you're building
#       or installing. It's like autoconf but for projects that are written in
#       Java and related languages. It's also used to build parts of the Gradle
#       project itself.
#
#       The Groovy template language is run in two phases.
#

//
//	sym = valfunc(func, p, 0, arg);
//	record sym.P as value at p->pc;
//	sym = valfunc(func, p, 1, arg);
//
// where func is the function, val is the current value, p is the instruction being
// considered, and arg can be used to further parameterize valfunc.
func funcpctab(ctxt *Link, func_ *LSym, desc string, valfunc func(*Link, *LSym, int32, *Prog, int32, interface{}) int32, arg interface{}) *LSym {
	dbg := desc == ctxt.Debugpcln
	dst := []byte{}

		},
		{
			// Node1 scores (used resources) on 0-MaxNodeScore scale
			// Node1 Score:
			// rawScoringFunction(used + requested / available)
			// resourceScoringFunction((0+2),8)
			//  = 2/8 * maxUtilization = 25 = rawScoringFunction(25)
			// Node1 Score: 2
			// Node2 scores (used resources) on 0-MaxNodeScore scale
			// rawScoringFunction(used + requested / available)
			// resourceScoringFunction((0+2),4)

        }

        public void clear() {
            used = pointer = 0;
        }

        public byte[] readBuffer() {
            if (used == buffer.length && pointer == 0) {
                pointer = used;
                return buffer;
            } else if (pointer < used) {
                byte[] buf = new byte[used - pointer];
                read(buf, 0, used - pointer);
                return buf;

            "@local_xla//xla/service/cpu:runtime_single_threaded_matmul",
            "@eigen_archive//:eigen3",
        ] or []) + (deps or []),
        tags = tags,
        copts = copts,
    )

    # Variables used for gen_test and gen_benchmark.
    cpp_class_split = cpp_class.rsplit("::", 2)
    if len(cpp_class_split) == 1:
        no_ns_name = cpp_class_split[0]
    else:
        no_ns_name = cpp_class_split[1]