.containsExactly(1, 2, 3, 9, 8, 7)
        .inOrder();
  }

  public void testJoin() {
    assertEquals("2,1,3,4", fluent(2, 1, 3, 4).join(Joiner.on(",")));
  }

  public void testJoin_empty() {
    assertEquals("", fluent().join(Joiner.on(",")));
  }

  public void testGet() {
    assertEquals("a", FluentIterable.from(Lists.newArrayList("a", "b", "c")).get(0));

            builder.setSize(fessConfig.getPagingSearchPageMaxSizeAsInteger());
            builder.setFetchSource(fields, null);
            queryHelper.processSearchPreference(builder, userBean, String.join(StringUtil.EMPTY, docIds));
            return true;
        });
    }

    public boolean update(final String id, final String field, final Object value) {

func NewMySQLTarget(id string, args MySQLArgs, loggerOnce logger.LogOnce) (*MySQLTarget, error) {
	var queueStore store.Store[event.Event]
	if args.QueueDir != "" {
		queueDir := filepath.Join(args.QueueDir, storePrefix+"-mysql-"+id)
		queueStore = store.NewQueueStore[event.Event](queueDir, args.QueueLimit, event.StoreExtension)
		if err := queueStore.Open(); err != nil {

# Ein Pydantic-Modell
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Das kann nun wie folgt verwendet werden:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

    return user_id


# A Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

That can then be used like:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

# Model Pydantic
class User(BaseModel):
    id: int
    name: str
    joined: date
```

A one będą mogły zostać później użyte w następujący sposób:

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

    return user_id


# Pydantic modeli
class User(BaseModel):
    id: int
    name: str
    joined: date
```

Sonrasında bu şekilde kullanabilirsin

```Python
my_user: User = User(id=3, name="John Doe", joined="2018-07-19")

second_user_data = {
    "id": 4,
    "name": "Mary",
    "joined": "2018-11-30",
}

my_second_user: User = User(**second_user_data)
```

/// info

            return StreamSupport.stream(((Iterable<ActivationFrame>) stk::descendingIterator).spliterator(), parallel)
                    .map(ActivationFrame::location)
                    .collect(Collectors.joining("."));
        };
        final Supplier<InputLocation> locationSupplier = () -> {
            if (stk.size() < 2) {
                return null;
            }

        builder.append(JavaVersion.CURRENT.typeName(ownerType)).append('.');
      }
      return builder
          .append(rawType.getName())
          .append('<')
          .append(COMMA_JOINER.join(transform(argumentsList, JavaVersion.CURRENT::typeName)))
          .append('>')
          .toString();
    }

    @Override
    public int hashCode() {

                All the scopes required by all the dependencies in a single string
                separated by spaces, as defined in the OAuth2 specification.
                """
            ),