import (
	"context"
	"time"
)

type rebalPoolProgress struct {
	NumObjects  uint64        `json:"objects"`
	NumVersions uint64        `json:"versions"`
	Bytes       uint64        `json:"bytes"`
	Bucket      string        `json:"bucket"`
	Object      string        `json:"object"`
	Elapsed     time.Duration `json:"elapsed"`
	ETA         time.Duration `json:"eta"`
}

type rebalancePoolStatus struct {

	}

	var opts minio.GetObjectOptions

	// Add extract header to request:
	opts.Set("x-minio-extract", "true")

	// Download API.md from the archive
	rd, err := s3Client.GetObject(context.Background(), "your-bucket", "path/to/file.zip/data.csv", opts)
	if err != nil {
		log.Fatalln(err)
	}
	_, err = io.Copy(os.Stdout, rd)
	if err != nil {
		log.Fatalln(err)
	}

          "instant": false,
          "interval": "1m",
          "intervalFactor": 1,
          "legendFormat": "",
          "refId": "A"
        }
      ],
      "title": "Number of Buckets",
      "type": "stat"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

			}
		case "fld":
			z.Failed, err = dc.ReadBool()
			if err != nil {
				err = msgp.WrapError(err, "Failed")
				return
			}
		case "lbkt":
			z.Bucket, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "Bucket")
				return
			}
		case "lobj":
			z.Object, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "Object")
				return
			}
		case "ob":

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;

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;

   * returned.
   *
   * @throws IllegalArgumentException if another entry in the bucket has the same key and {@code
   *     throwIfDuplicateKeys} is true
   * @throws BucketOverflowException if this bucket has too many entries, which may indicate a hash
   *     flooding attack
   */
  @CanIgnoreReturnValue

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;

import java.util.SortedSet

class TestClassTime(
    val sourceSet: String,
    val buildTimeMs: Int,
)

data class TestCoverageAndBucketSplits(
    val testCoverageUuid: Int,
    val buckets: List<FunctionalTestBucket>,
)

data class FunctionalTestBucket(
    val subprojects: SortedSet<String>,
    val parallelizationMethod: ParallelizationMethod,
) {

import org.opensearch.search.aggregations.bucket.range.IpRangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.range.RangeAggregationBuilder;
import org.opensearch.search.aggregations.bucket.sampler.SamplerAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.SignificantTermsAggregationBuilder;
import org.opensearch.search.aggregations.bucket.terms.TermsAggregationBuilder;