LastOnline    time.Time          `json:"lastOnline"`
	Online        bool               `json:"isOnline"`
	Latency       madmin.LatencyStat `json:"latency"`

	// replication metrics across buckets roll up
	ReplicatedSize int64 `json:"replicatedSize"`
	// Total number of completed operations
	ReplicatedCount int64 `json:"replicatedCount"`
	// Failed captures replication errors in various time windows

   * suggested that listeners are added before the service starts.
   *
   * <p>{@code addListener} guarantees execution ordering across calls to a given listener but not
   * across calls to multiple listeners. Specifically, a given listener will have its callbacks
   * invoked in the same order as the underlying service enters those states. Additionally, at most

## Managing hermetic Python

To make sure that TensorFlow's build is reproducible, behaves uniformly across
supported platforms (Linux, Windows, MacOS) and is properly isolated from
specifics of a local system, we rely on hermetic Python (see
[rules_python](https://github.com/bazelbuild/rules_python)) for all build
and test commands executed via Bazel. This means that your system Python
installation will be ignored during the build and Python interpreter itself

# ADR-0002 - Avoid using Java serialization

## Date

2012-12-01

## Context

In Gradle we often need to serialize in-memory objects for caching, or to transmit them across process barriers, etc.
Java serialization is one way to implement this, however, despite its simplicity of implementation, it has several drawbacks:

- **Performance:**
Java's built-in serialization mechanism is often slower compared to other serialization solutions.

import (
	. "bytes"
	"syscall"
	"testing"
)

// This file tests the situation where byte operations are checking
// data very near to a page boundary. We want to make sure those
// operations do not read across the boundary and cause a page
// fault where they shouldn't.

// These tests run only on linux. The code being tested is
// not OS-specific, so it does not need to be tested on all
// operating systems.

            parse(f, repository)
            counter++
        }

        //updating/modifying the metadata and making sure every type reference across the metadata is fully qualified
        //so, the superClassName, interfaces and types needed by declared properties and declared methods will have fully qualified name
        TypeNameResolver resolver = new TypeNameResolver(repository)

	"github.com/minio/pkg/v3/env"
)

const (
	// EnvKMSAutoEncryption is the environment variable used to en/disable
	// SSE-S3 auto-encryption. SSE-S3 auto-encryption, if enabled,
	// requires a valid KMS configuration and turns any non-SSE-C
	// request into an SSE-S3 request.
	// If present EnvAutoEncryption must be either "on" or "off".
	EnvKMSAutoEncryption = "MINIO_KMS_AUTO_ENCRYPTION"
)

// LookupAutoEncryption returns true if and only if

MinIO in distributed mode lets you pool multiple drives (even on different machines) into a single object storage server. As drives are distributed across several nodes, distributed MinIO can withstand multiple node failures and yet ensure full data protection.

## Why distributed MinIO?

				if i < retryCount-1 {
					time.Sleep(100*time.Millisecond + time.Duration(r.Float64()*float64(time.Second)))
					continue
				}
			}
			break
		}
	}()
}

// DeletePolicy - deletes policy across all peers.
func (sys *NotificationSys) DeletePolicy(ctx context.Context, policyName string) []NotificationPeerErr {
	ng := WithNPeers(len(sys.peerClients)).WithRetries(1)
	for idx, client := range sys.peerClients {

		}
		if !ps.Participating {
			continue
		}
		// for participating pools, total bytes to be rebalanced by this pool is given by,
		// pf_c = (f_i + x)/c_i,
		// pf_c - percentage free space across pools, f_i - ith pool's free space, c_i - ith pool's capacity
		// i.e. x = c_i*pfc -f_i
		totalBytesToRebal := float64(ps.InitCapacity)*meta.PercentFreeGoal - float64(ps.InitFreeSpace)
		elapsed := time.Since(ps.Info.StartTime)