from couchbase.bucket import Bucket
from couchbase.cluster import Cluster, PasswordAuthenticator
from fastapi import FastAPI
from pydantic import BaseModel

USERPROFILE_DOC_TYPE = "userprofile"


def get_bucket():
    cluster = Cluster(
        "couchbase://couchbasehost:8091?fetch_mutation_tokens=1&operation_timeout=30&n1ql_timeout=300"
    )
    authenticator = PasswordAuthenticator("username", "password")

		var forwardTo string
		// If we resume to the same bucket, forward to last known item.
		if b := tracker.getBucket(); b != "" {
			if b == bucket {
				forwardTo = tracker.getObject()
			} else {
				// Reset to where last bucket ended if resuming.
				tracker.resume()
			}
		}
		tracker.setObject("")
		tracker.setBucket(bucket)
		// Heal current bucket again in case if it is failed
		// in the beginning of erasure set healing

	if ok {
		return b.updateCacheEntry(update)
	}

	// We should have either a trashed bucket or this
	return metacache{}, errVolumeNotFound
}

// getBucket will get a bucket metacache or load it from disk if needed.
func (m *metacacheManager) getBucket(ctx context.Context, bucket string) *bucketMetacache {
	m.init.Do(m.initManager)

	// Return a transient bucket for invalid or system buckets.
	m.mu.RLock()

                    }
                }, null);
            });
            final Terms agg = list.getAggregations().get(SearchLogPager.LOG_TYPE_CLICK_COUNT);
            final List<? extends Terms.Bucket> buckets = agg.getBuckets();
            updatePagerByAgg(pager, buckets.size());
            return buckets.stream().map(e -> {
                final Map<String, Object> map = new HashMap<>();

func (h healingTracker) getLastUpdate() time.Time {
	h.mu.RLock()
	defer h.mu.RUnlock()

	return h.LastUpdate
}

func (h healingTracker) getBucket() string {
	h.mu.RLock()
	defer h.mu.RUnlock()

	return h.Bucket
}

func (h *healingTracker) setBucket(bucket string) {
	h.mu.Lock()
	defer h.mu.Unlock()

	h.Bucket = bucket
}

func (h healingTracker) getObject() string {
	h.mu.RLock()

// along with this program.  If not, see <http://www.gnu.org/licenses/>.

package bandwidth

import (
	"sync"
	"sync/atomic"
	"time"
)

const (
	// betaBucket is the weight used to calculate exponential moving average
	betaBucket = 0.1 // Number of averages considered = 1/(1-betaObject)
)

// bucketMeasurement captures the bandwidth details for one bucket
type bucketMeasurement struct {

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/gitbucket/gitbucket/blob/master/LICENSE)

## Overview

<a href="fess-ds-elasticsearch/" title="fess-ds-elasticsearch/">fess-ds-elasticsearch/</a>                                           -         -      
<a href="fess-ds-gitbucket/" title="fess-ds-gitbucket/">fess-ds-gitbucket/</a>                                               -         -      
<a href="fess-ds-gsuite/" title="fess-ds-gsuite/">fess-ds-gsuite/</a>                                                  -         -      

[![License](https://img.shields.io/badge/License-Apache%202.0-blue.svg)](https://github.com/gitbucket/gitbucket/blob/master/LICENSE)

## Overview

Fess est un serveur de moteur de recherche très puissant et facile à déployer en entreprise.

            name = new String(BaseEncoding.base64().decode(encodedField), StandardCharsets.UTF_8);
            for (final Terms.Bucket tfEntry : termFacet.getBuckets()) {
                valueCountMap.put(tfEntry.getKeyAsString(), tfEntry.getDocCount());
            }
        }

        /**
         * @return the valueCountMap
         */