"type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {
          "color": {
            "mode": "palette-classic"
          },
          "custom": {
            "axisBorderShow": false,
            "axisCenteredZero": false,
            "axisColorMode": "text",
            "axisLabel": "",
            "axisPlacement": "auto",
            "barAlignment": 0,

ame","value":"Workload"},{"id":"unit","value":"short"},{"id":"decimals","value":2},{"id":"custom.align"},{"id":"custom.hidden","value":true}]},{"matcher":{"id":"byName","options":"Time"},"properties":[{"id":"custom.hidden","value":true}]},{"matcher":{"id":"byName","options":"Value #A"},"properties":[{"id":"displayName","value":"Requests"},{"id":"unit","value":"ops"},{"id":"decimals","value":2},{"id":"custom.align"}]},{"matcher":{"id":"byName","options":"Value #B"},"properties":[{"id":"displayName","value":"P50...

            Doc(
                """
                The default response class to be used.

                Read more in the
                [FastAPI docs for Custom Response - HTML, Stream, File, others](https://fastapi.tiangolo.com/advanced/custom-response/#default-response-class).

                **Example**

                ```python
                from fastapi import FastAPI

    }

    // CustomTfOp is just a wrapper around a TF op, we export the custom Op
    // not the wrapper, so we fetch the op from the region.
    if (auto custom_op = dyn_cast<mlir::TFL::CustomTfOp>(inst)) {
      // If we have custom op with a region, then use the first op in the
      // region, if it exists, otherwise just use params for custom op.
      if (!custom_op.getBody().empty()) {

  if [ -n "${CUSTOM_NETD_YAML:-}" ]; then
    # Replace with custom GCP netd deployment.
    cat > "${netd_file}" <<EOF
$CUSTOM_NETD_YAML
EOF
  fi
}

# A helper function to set up a custom yaml for a k8s addon.
#
# $1: addon category under /etc/kubernetes
# $2: manifest source dir
# $3: manifest file
# $4: custom yaml
function setup-addon-custom-yaml {
  local -r manifest_path="/etc/kubernetes/$1/$2/$3"

KUBE_APISERVER_GODEBUG: $(yaml-quote "${KUBE_APISERVER_GODEBUG}")
EOF
    fi
    # ETCD_IMAGE (if set) allows to use a custom etcd image.
    if [ -n "${ETCD_IMAGE:-}" ]; then
      cat >>"$file" <<EOF
ETCD_IMAGE: $(yaml-quote "${ETCD_IMAGE}")
EOF
    fi
    # ETCD_DOCKER_REPOSITORY (if set) allows to use a custom etcd docker repository to pull the etcd image from.
    if [ -n "${ETCD_DOCKER_REPOSITORY:-}" ]; then

  let summary = "Wrapper Op for TF custom ops.";

  let description = [{
    A wrapper op around any Custom TF op. These includes ops defined using
    custom_opdefs or linked which are not defined in TF dialect.
    This Op just wraps the custom op inside a region.
    Note #1, this Op will not include TF Lite custom ops defined using CustomOp.

// We don't try to check that what is inside the %% is one of Envoy recognized values, we just prevent invalid config.
// See: https://www.envoyproxy.io/docs/envoy/latest/configuration/http/http_conn_man/headers.html#custom-request-response-headers
func ValidateHTTPHeaderValue(value string) error {
	if !httpHeaderValueRegexp.MatchString(value) {
		return fmt.Errorf("header value configuration %s is invalid", value)
	}

  // custom op for "tfl.max_pooling_with_argmax_2d"(%arg0) {filter_h = 2 : i32, filter_w = 2 : i32, padding = "SAME", stride_h = 2 : i32, stride_w = 2 : i32} : (tensor<1x64x64x32xf32>) -> (tensor<1x32x32x32xf32>, tensor<1x32x32x32xf32>)

	utilfeature "k8s.io/apiserver/pkg/util/feature"
	"k8s.io/apiserver/pkg/warning"
	featuregatetesting "k8s.io/component-base/featuregate/testing"
)

// TestValidationExpressions tests CEL integration with custom resource values and OpenAPIv3.
func TestValidationExpressions(t *testing.T) {
	tests := []struct {
		name          string
		schema        *schema.Structural
		oldSchema     *schema.Structural
		obj           interface{}