import java.util.Arrays;
import java.util.Iterator;
import java.util.List;
import java.util.Map.Entry;
import org.checkerframework.checker.nullness.qual.Nullable;

/**
 * A container class for the five sample elements we need for testing.
 *
 * @author Kevin Bourrillion
 */
@GwtCompatible
@ElementTypesAreNonnullByDefault
public class SampleElements<E extends @Nullable Object> implements Iterable<E> {

Par exemple, il était clair que l'idéal était de se baser sur les annotations de type Python standard.

De plus, la meilleure approche était d'utiliser des normes déjà existantes.

mc batch status myminio/ E24HH4nNMcgY5taynaPfxu
●∙∙
Objects:        28766
Versions:       28766
Throughput:     3.0 MiB/s
Transferred:    406 MiB
Elapsed:        2m14.227222868s
CurrObjName:    share/doc/xml-core/examples/foo.xmlcatalogs
```

### 'describe' the batch job yaml.
```
mc batch describe myminio/ E24HH4nNMcgY5taynaPfxu
replicate:
  apiVersion: v1
...

  }

  public void testCopyOf_concurrentlyMutating() {
    List<String> sample = Lists.newArrayList("a", "b", "c");
    for (int delta : new int[] {-1, 0, 1}) {
      for (int i = 0; i < sample.size(); i++) {
        Collection<String> misleading = misleadingSizeCollection(delta);
        List<String> expected = sample.subList(0, i);
        misleading.addAll(expected);

 *
 * @author Kevin Bourrillion
 */
@GwtCompatible(emulated = true)
public class AbstractIteratorTest extends TestCase {

  public void testDefaultBehaviorOfNextAndHasNext() {

    // This sample AbstractIterator returns 0 on the first call, 1 on the
    // second, then signals that it's reached the end of the data
    Iterator<Integer> iter =
        new AbstractIterator<Integer>() {
          private int rep;

- ObjectType (default)
- LegacyObjectType (preserves existing deployments and older xl.json format)
- DeleteMarker (a versionId to capture the DELETE sequences implemented primarily for AWS spec compatibility)

A sample msgpack-JSON `xl.meta`, you can debug the content inside `xl.meta` using [xl-meta.go](https://github.com/minio/minio/tree/master/docs/debugging#decoding-metadata) program.

```json
{
  "Versions": [
    {
      "Type": 1,

  }

  public void testCopyOf_concurrentlyMutating() {
    List<String> sample = Lists.newArrayList("a", "b", "c");
    for (int delta : new int[] {-1, 0, 1}) {
      for (int i = 0; i < sample.size(); i++) {
        Collection<String> misleading = misleadingSizeCollection(delta);
        List<String> expected = sample.subList(0, i);
        misleading.addAll(expected);

pkg go/doc, type Example struct, Comments []*ast.CommentGroup
pkg go/doc, type Example struct, Doc string
pkg go/doc, type Example struct, Name string
pkg go/doc, type Example struct, Output string
pkg go/doc, type Filter func(string) bool
pkg go/doc, type Func struct
pkg go/doc, type Func struct, Decl *ast.FuncDecl
pkg go/doc, type Func struct, Doc string
pkg go/doc, type Func struct, Level int
pkg go/doc, type Func struct, Name string

fix. Even if you think it's relatively minor, it's helpful to know what people
are working on. And as mentioned above, API changes should be discussed
thoroughly before moving to code.

Some examples of types of pull requests that are immediately helpful:

  - Fixing a bug without changing a public API.
  - Fixing or improving documentation.
  - Improvements to Maven configuration.

                    // on Windows, need a short path or we hit 256 character limit for paths
                    // using EXECUTOR_NUMBER guarantees that concurrent builds on same agent
                    // will not trample each other plus workaround for JENKINS-52657
                    dir(isUnix() ? 'test' : "c:\\mvn-it-${EXECUTOR_NUMBER}.tmp") {
                        def WORK_DIR=pwd()
                        try {