import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;

			http.Error(w, err.Error(), http.StatusBadRequest)
			return
		}
		creds, _ := sts.Get()

		bucketNames := []string{}

		for _, bucket := range buckets {
			log.Println(fmt.Sprintf("Bucket discovered: %s", bucket.Name))
			bucketNames = append(bucketNames, bucket.Name)
		}
		response := make(map[string]interface{})
		response["credentials"] = creds
		response["buckets"] = bucketNames

	// LDAP credentials
	ldapUsername string
	ldapPassword string

	// Display credentials flag
	displayCreds bool

	// Credential expiry duration
	expiryDuration time.Duration

	// Bucket to list
	bucketToList string

	// Session policy file
	sessionPolicyFile string
)

func init() {
	flag.StringVar(&stsEndpoint, "sts-ep", "http://localhost:9000", "STS endpoint")

})

type sharedLock struct {
	lockContext chan LockContext
}

func (ld sharedLock) backgroundRoutine(ctx context.Context, objAPI ObjectLayer, lockName string) {
	for {
		locker := objAPI.NewNSLock(minioMetaBucket, lockName)
		lkctx, err := locker.GetLock(ctx, sharedLockTimeout)
		if err != nil {
			continue
		}

	keepLock:
		for {
			select {
			case <-ctx.Done():
				return
			case <-lkctx.Context().Done():

	}, ShouldFail: false}, // 4
	{Header: http.Header{
		"X-Amz-Server-Side-Encryption":                []string{"aws:kms"},
		"X-Amz-Server-Side-Encryption-Aws-Kms-Key-Id": []string{"s3-007-293847485-724784"},
		"X-Amz-Server-Side-Encryption-Context":        []string{base64.StdEncoding.EncodeToString([]byte(`{"bucket": "some-bucket"}`))},
	}, ShouldFail: false}, // 5

		                          </Rule>
		                          </LifecycleConfiguration>`,
			expectedParsingErr:    nil,
			expectedValidationErr: nil,
		},
		{ // Using ExpiredObjectAllVersions element with an object locked bucket
			inputConfig: `<LifecycleConfiguration>
                                        <Rule>
                                          <ID>ExpiredObjectAllVersions with object locking</ID>
		                          <Filter>

	}
	var pathNames [paths]string
	for i := range pathNames[:] {
		pathNames[i] = fmt.Sprintf("prefix/%d", i)
	}
	for i := 0; i < elements; i++ {
		bm.findCache(listPathOptions{
			ID:           mustGetUUID(),
			Bucket:       "",
			BaseDir:      pathNames[i%paths],
			Prefix:       "",
			FilterPrefix: "",
			Marker:       "",
			Limit:        0,
			AskDisks:     "strict",
			Recursive:    false,

    execution time and the sharding
    [could create an overhead on the test execution](https://github.com/bazelbuild/bazel/issues/2113#issuecomment-264054799).

2.  Using [Docker](https://www.docker.com) and TensorFlow's CI scripts.

    ```bash
    # Install Docker first, then this will build and run cpu tests
    tensorflow/tools/ci_build/ci_build.sh CPU bazel test //tensorflow/...
    ```

    See

	// Therefore, find the first bucket that holds the counter for
	// requests with a latency at least as large as the given request
	// latency and update its and all subsequent counters.
	bucket := slices.IndexFunc(k.latencyBuckets, func(b time.Duration) bool { return latency < b })
	if bucket < 0 {
		bucket = len(k.latencyBuckets) - 1
	}
	for i := bucket; i < len(k.latency); i++ {
		k.latency[i].Add(1)
	}

import org.opensearch.search.aggregations.bucket.filter.FilterAggregationBuilder;
import org.opensearch.search.aggregations.bucket.global.GlobalAggregationBuilder;
import org.opensearch.search.aggregations.bucket.histogram.HistogramAggregationBuilder;
import org.opensearch.search.aggregations.bucket.missing.MissingAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;