if currSt != ResyncStarted {
		return currSt
	}
	totBuckets := len(m)
	var cmpCount, failCount int
	for _, st := range m {
		switch st {
		case ResyncCompleted:
			cmpCount++
		case ResyncFailed:
			failCount++
		}
	}
	if cmpCount == totBuckets {
		return ResyncCompleted
	}
	if cmpCount+failCount == totBuckets {
		return ResyncFailed
	}
	return ResyncStarted
}

}

// EndpointServerPools - list of list of endpoints
type EndpointServerPools []PoolEndpoints

// ESCount returns the total number of erasure sets in this cluster
func (l EndpointServerPools) ESCount() (count int) {
	for _, p := range l {
		count += p.SetCount
	}
	return count
}

// GetNodes returns a sorted list of nodes in this cluster
func (l EndpointServerPools) GetNodes() (nodes []Node) {

	}

	allErrs := make([]error, 0, len(objsToDel))

	for {
		count := len(objsToDel)
		if count == 0 {
			break
		}
		if count > maxDeleteList {
			count = maxDeleteList
		}
		_, errs := api.DeleteObjects(ctx, r.Bucket, objsToDel[:count], opts)
		allErrs = append(allErrs, errs...)
		// Next batch of deletion
		objsToDel = objsToDel[count:]
	}

	return allErrs
}

const (

in containers are now `rslave` on Linux by default. To make this default work in all Linux environments the entire mount tree should be marked as shareable, e.g. via `mount --make-rshared /`. All Linux distributions that use systemd already have the root directory mounted as rshared and hence they need not do anything. In Linux environments without systemd we recommend running `mount --make-rshared /` during boot before docker is started, ([@jsafrane](https://github.com/jsafrane))

##...

	case windows.DRIVE_FIXED, windows.DRIVE_REMOVABLE, windows.DRIVE_REMOTE, windows.DRIVE_RAMDISK:
		// Recognize "fixed", "removable", "remote" and "ramdisk" drives as proper drives
		// which can be treated as an actual mount-point, rest can be ignored.
		// https://docs.microsoft.com/en-us/windows/desktop/api/fileapi/nf-fileapi-getdrivetypew
		mountPointCache.Store(path, true)
		return true
	}
	mountPointCache.Store(path, false)
	return false

file: org.apache.spark.rdd.RDD[String] = s3a://testbucket/testdata MapPartitionsRDD[1] at textFile at <console>:24

scala> val counts = file.flatMap(line => line.split(" ")).map(word => (word, 1)).reduceByKey(_ + _)
counts: org.apache.spark.rdd.RDD[(String, Int)] = ShuffledRDD[4] at reduceByKey at <console>:25

scala> counts.saveAsTextFile("s3a://testbucket/wordcount")
```

Use one of the following approaches to view job output:

    public static final String INCREMENTAL_CRAWLING_PROPERTY = "crawling.incremental";

    /** Property key for crawling thread count configuration. */
    public static final String CRAWLING_THREAD_COUNT_PROPERTY = "crawling.thread.count";

    /** Property key for crawling user agent configuration. */
    public static final String CRAWLING_USER_AGENT_PROPERTY = "crawling.user.agent";

		t.Errorf("Should find soft deleted record with Unscoped, but got err %s", err)
	}

	count = 0
	if DB.Unscoped().Model(&User{}).Where("name = ?", user.Name).Count(&count).Error != nil || count != 1 {
		t.Errorf("Count soft deleted record, expects: %v, count: %v", 1, count)
	}

	age = 0
	if DB.Unscoped().Model(&User{}).Select("age").Where("name = ?", user.Name).Scan(&age).Error != nil || age != user.Age {

experts:
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