package cmd

import (
	"bytes"
	"context"
	"encoding/xml"
	"io"
	"net/http"
	"net/textproto"
	"os"
	"reflect"
	"testing"

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

// Tests validate bucket LocationConstraint.
func TestIsValidLocationConstraint(t *testing.T) {
	ctx, cancel := context.WithCancel(t.Context())
	defer cancel()

	obj, fsDir, err := prepareFS(ctx)
	if err != nil {
		t.Fatal(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;

			// parts. This is considered an outdated disk, since
			// it needs healing too.
			verifyResp, verifyErr = onlineDisk.VerifyFile(ctx, bucket, object, meta)
		default:
			verifyResp, verifyErr = onlineDisk.CheckParts(ctx, bucket, object, meta)
		}

		for p := range latestMeta.Parts {
			if verifyErr != nil {
				dataErrsByPart[p][i] = convPartErrToInt(verifyErr)
			} else {

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;

    ): List<SmallSubprojectBucket> {
        // splitIntoBuckets() method expects us to split large element into N elements,
        // but we want to have a single bucket with N batches.
        // As a workaround, we repeat the bucket N times, and deduplicate the result at the end
        val resultIncludingDuplicates =
            splitIntoBuckets(
                LinkedList(subProjectTestClassTimes),

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;

                  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': {

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)
	}