print('Preconfigured Bazel build configs. You can use any of the below by '
        'adding "--config=<>" to your build command. See .bazelrc for more '
        'details.')
  config_info_line('mkl', 'Build with MKL support.')
  config_info_line(
      'mkl_aarch64',
      'Build with oneDNN and Compute Library for the Arm Architecture (ACL).')
  config_info_line('monolithic', 'Config for mostly static monolithic build.')

	"istio.io/istio/istioctl/pkg/clioptions"
	"istio.io/istio/istioctl/pkg/describe"
	"istio.io/istio/istioctl/pkg/util/ambient"
	"istio.io/istio/pkg/config/analysis/analyzers/injection"
	analyzer_util "istio.io/istio/pkg/config/analysis/analyzers/util"
	"istio.io/istio/pkg/config/resource"
	"istio.io/istio/pkg/kube"
	"istio.io/istio/pkg/kube/inject"
	"istio.io/istio/pkg/slices"
	"istio.io/istio/pkg/util/sets"
)

import common.uuidPrefix
import jetbrains.buildServer.configs.kotlin.Dependencies
import jetbrains.buildServer.configs.kotlin.DslContext
import jetbrains.buildServer.configs.kotlin.FailureAction
import jetbrains.buildServer.configs.kotlin.RelativeId
import jetbrains.buildServer.configs.kotlin.SnapshotDependency
import jetbrains.buildServer.configs.kotlin.triggers.ScheduleTrigger
import jetbrains.buildServer.configs.kotlin.triggers.VcsTrigger

    ],
)

# Config setting that is satisfied when TensorFlow is being built with CUDA
# support through e.g. `--config=cuda` (or `--config=cuda_clang` in OSS).
alias(
    name = "is_cuda_enabled",
    actual = if_oss(
        "@local_config_cuda//:is_cuda_enabled",
        "@local_config_cuda//cuda:using_config_cuda",
    ),
)

import jetbrains.buildServer.configs.kotlin.AbsoluteId
import jetbrains.buildServer.configs.kotlin.BuildSteps
import jetbrains.buildServer.configs.kotlin.DslContext
import jetbrains.buildServer.configs.kotlin.buildSteps.GradleBuildStep

fun DslContext.initForTest() {
    // Set the project id here, so we can use methods on the DslContext
    parentProjectId = AbsoluteId("Gradle")
    projectId = AbsoluteId("Gradle_Master")

# This Workflow updates tensorflow/tools/toolchains/remote_config/configs.bzl
# to reference the most recent versions of the SIG Build Docker images.
name: Update RBE Configs
on:
  workflow_dispatch:

permissions:
  contents: read

jobs:
  rbe:
    name: Update RBE Configs
    runs-on: ubuntu-latest
    if: github.repository == 'tensorflow/tensorflow' # Don't do this in forks

	<component name="fileConfigBhv" class="org.codelibs.fess.es.config.exbhv.FileConfigBhv"/>
	<component name="jobLogBhv" class="org.codelibs.fess.es.config.exbhv.JobLogBhv"/>
	<component name="keyMatchBhv" class="org.codelibs.fess.es.config.exbhv.KeyMatchBhv"/>
	<component name="labelTypeBhv" class="org.codelibs.fess.es.config.exbhv.LabelTypeBhv"/>

		},
		config.KV{
			Key:   browserHSTSPreload,
			Value: config.EnableOff,
		},
		config.KV{
			Key:   browserReferrerPolicy,
			Value: "strict-origin-when-cross-origin",
		},
	}
)

// configLock is a global lock for browser config
var configLock sync.RWMutex

// Config storage class configuration
type Config struct {
	CSPPolicy             string `json:"csp_policy"`
	HSTSSeconds           int    `json:"hsts_seconds"`

}

// Enabled returns if etcd is enabled.
func Enabled(kvs config.KVS) bool {
	endpoints := kvs.Get(Endpoints)
	return endpoints != ""
}

// LookupConfig - Initialize new etcd config.
func LookupConfig(kvs config.KVS, rootCAs *x509.CertPool) (Config, error) {
	cfg := Config{}
	if err := config.CheckValidKeys(config.EtcdSubSys, kvs, DefaultKVS); err != nil {
		return cfg, err
	}

package openid

import "github.com/minio/minio/internal/config"

// Help template for OpenID identity feature.
var (
	defaultHelpPostfix = func(key string) string {
		return config.DefaultHelpPostfix(DefaultKVS, key)
	}

	Help = config.HelpKVS{
		config.HelpKV{
			Key:         DisplayName,