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 {

            if (minioClient == null) {
                throw new IOException("Access is not ready.");
            }
            try {
                final GetObjectArgs args = GetObjectArgs.builder().bucket(bucketName).object(objectName).build();
                return minioClient.getObject(args);
            } catch (InvalidKeyException | ErrorResponseException | IllegalArgumentException | InsufficientDataException | InternalException

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;

# limitations under the License.
# ==============================================================================
# Sourcing this enables Bazel remote cache (read and write)
# Note that "_push" cache configs write to GCS buckets and require
# authentication. If you are not a Googler, source "public_cache" to enable the
# public read-only cache.
# The cache configs are different for MacOS and Linux
if [[ $(uname -s) == "Darwin" ]]; then

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;

package lifecycle

import (
	"encoding/xml"
	"fmt"
	"io"
	"net/http"
	"slices"
	"strings"
	"time"

	"github.com/google/uuid"
	"github.com/minio/minio/internal/bucket/object/lock"
	xhttp "github.com/minio/minio/internal/http"
)

var (
	errLifecycleTooManyRules = Errorf("Lifecycle configuration allows a maximum of 1000 rules")

                  aws_access_key_id='minio',
                  aws_secret_access_key='minio123',
                  region_name='us-east-1')

r = s3.select_object_content(
    Bucket='mycsvbucket',
    Key='sampledata/TotalPopulation.csv.gz',
    ExpressionType='SQL',
    Expression="select * from s3object s where s.Location like '%United States%'",
    InputSerialization={
        'CSV': {

			expectedCode:    304,
		},
	}
	for _, tc := range testCases {
		t.Run(tc.name, func(t *testing.T) {
			recorder := httptest.NewRecorder()
			request := httptest.NewRequest(http.MethodHead, "/bucket/a", bytes.NewReader([]byte{}))
			request.Header.Set(xhttp.IfNoneMatch, tc.ifNoneMatch)
			request.Header.Set(xhttp.IfModifiedSince, tc.ifModifiedSince)
			request.Header.Set(xhttp.IfMatch, tc.ifMatch)

	}

	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)
	}

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;