},
	{
		api:     "logging",
		methods: []string{http.MethodPut, http.MethodDelete},
		queries: []string{"logging", ""},
	},
	{
		api:     "accelerate",
		methods: []string{http.MethodPut, http.MethodDelete},
		queries: []string{"accelerate", ""},
	},
	{
		api:     "requestPayment",
		methods: []string{http.MethodPut, http.MethodDelete},
		queries: []string{"requestPayment", ""},
	},
	{

		s.nextch()
		goto redo
	}

	return

assignop:
	if s.ch == '=' {
		s.nextch()
		s.tok = _AssignOp
		return
	}
	s.tok = _Operator
}

func (s *scanner) ident() {
	// accelerate common case (7bit ASCII)
	for isLetter(s.ch) || isDecimal(s.ch) {
		s.nextch()
	}

	// general case
	if s.ch >= utf8.RuneSelf {
		for s.atIdentChar(false) {
			s.nextch()
		}
	}

This optimization has the potential to accelerate your builds significantly:

[source,text]
----
$./gradlew :app:clean :app:build --build-cache

> Task :app:compileJava FROM-CACHE
> Task :app:processResources NO-SOURCE
> Task :app:classes UP-TO-DATE

		UnschedulablePlugins:    pqi.UnschedulablePlugins.Clone(),
		Gated:                   pqi.Gated,
	}
}

// PodInfo is a wrapper to a Pod with additional pre-computed information to
// accelerate processing. This information is typically immutable (e.g., pre-processed
// inter-pod affinity selectors).
type PodInfo struct {
	Pod                        *v1.Pod
	RequiredAffinityTerms      []AffinityTerm

	// owner: @ahutsunshine
	// beta: v1.30
	//
	// Allows namespace indexer for namespace scope resources in apiserver cache to accelerate list operations.
	StorageNamespaceIndex featuregate.Feature = "StorageNamespaceIndex"

	// owner: @jsafrane
	// kep: https://kep.k8s.io/1710
	// alpha: v1.30

        uses: actions/setup-java@v4
        with:
          distribution: 'zulu'
          java-version: 17

      - name: Enable KVM group perms
        # https://github.blog/changelog/2023-02-23-hardware-accelerated-android-virtualization-on-actions-windows-and-linux-larger-hosted-runners/
        run: |
          echo 'KERNEL=="kvm", GROUP="kvm", MODE="0666", OPTIONS+="static_node=kvm"' | sudo tee /etc/udev/rules.d/99-kvm4all.rules

# is a request for 2 SCSI formatted and mounted SSDs and 1 NVMe block device SSD.
NODE_LOCAL_SSDS_EXT=${NODE_LOCAL_SSDS_EXT:-}
# Accelerators to be attached to each node. Format "type=<accelerator-type>,count=<accelerator-count>"
# More information on available GPUs here - https://cloud.google.com/compute/docs/gpus/
NODE_ACCELERATORS=${NODE_ACCELERATORS:-""}
export REGISTER_MASTER_KUBELET=${REGISTER_MASTER:-true}

  let summary = "Lifting resource operations out of device computation";
  let description = [{
    This pass lifts resource variable operations outside of device computation.
    This is useful because a lot of accelerator devices can not interact with
    resource variables directly..

    Here is a simple example in TensorFlow where a device doubles the value of a
    TensorFlow resource variable and returns new value:

    ```mlir

fi

if [[ -n "${NODE_ACCELERATORS}" ]]; then
    if [[ "${NODE_ACCELERATORS}" =~ .*type=([a-zA-Z0-9-]+).* ]]; then
        NON_MASTER_NODE_LABELS="${NON_MASTER_NODE_LABELS},cloud.google.com/gke-accelerator=${BASH_REMATCH[1]}"
    fi
fi

# List of the set of feature gates recognized by the GCP CCM