import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * This class provides a skeletal implementation of the {@link SortedMultiset} interface.
 *
 * <p>The {@link #count} and {@link #size} implementations all iterate across the set returned by
 * {@link Multiset#entrySet()}, as do many methods acting on the set returned by {@link
 * #elementSet()}. Override those methods for better performance.
 *
 * @author Louis Wasserman
 */

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.

All source code in Gradle is written to target one or more of these runtimes.
Most source code targets the daemon and the remaining code either targets a single runtime, for example the Gradle client, or is shared across multiple runtimes.

## Composition by architecture modules

Each [architecture module and platform](platforms.md) can contribute code to any of the runtimes.
Not every module contributes to every runtime.

   * 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

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?

# etcd V3 Quickstart Guide [![Slack](https://slack.min.io/slack?type=svg)](https://slack.min.io)

etcd is a distributed key value store that provides a reliable way to store data across a cluster of machines.

## Get started

### 1. Prerequisites

- Docker 18.03 or above, refer here for [installation](https://docs.docker.com/install/).

### 2. Start etcd

| `minio_cluster_erasure_set_overall_write_quorum` | `gauge` | Overall write quorum across pools and sets                    |                  |
| `minio_cluster_erasure_set_overall_health`       | `gauge` | Overall health across pools and sets (1=healthy, 0=unhealthy) |                  |

   * for cross-language compatibility. For other use cases, prefer {@link #putUnencodedChars}, which
   * is faster, produces the same output across Java releases, and processes every {@code char} in
   * the input, even if some are invalid.
   */
  @CanIgnoreReturnValue
  PrimitiveSink putString(CharSequence charSequence, Charset charset);

ENV MINIO_ACCESS_KEY_FILE=access_key \
    MINIO_SECRET_KEY_FILE=secret_key \
    MINIO_ROOT_USER_FILE=access_key \
    MINIO_ROOT_PASSWORD_FILE=secret_key \

			entries.listID = mustGetUUID()
		} else {
			entries.listID = o.ID
		}
	}
	if !truncated {
		return entries, io.EOF
	}
	return entries, nil
}

// listMerged will list across all sets and return a merged results stream.
// The result channel is closed when no more results are expected.
func (z *erasureServerPools) listMerged(ctx context.Context, o listPathOptions, results chan<- metaCacheEntry) error {