{* ../../docs_src/request_files/tutorial001_03_an_py310.py hl[9,15] *}

## Multiple File Uploads { #multiple-file-uploads }

It's possible to upload several files at the same time.

They would be associated to the same "form field" sent using "form data".

To use that, declare a list of `bytes` or `UploadFile`:

{* ../../docs_src/request_files/tutorial002_an_py310.py hl[10,15] *}

    String getConfigId();

    Integer getTimeToLive();

    CrawlerClientFactory initializeClientFactory(Supplier<CrawlerClientFactory> creator);

    Map<String, String> getConfigParameterMap(ConfigName name);

    default void initializeDefaultHttpProxy(final Map<String, Object> paramMap) {
        final FessConfig fessConfig = ComponentUtil.getFessConfig();
        final String proxyHost = fessConfig.getHttpProxyHost();

  }

  @ListFeature.Require(absent = SUPPORTS_ADD_WITH_INDEX)
  @CollectionSize.Require(absent = ZERO)
  /*
   * absent = ZERO isn't required, since unmodList.add() must
   * throw regardless, but it keeps the method name accurate.
   */
  public void testAddAtIndex_unsupportedPresent() {
    assertThrows(UnsupportedOperationException.class, () -> getList().add(0, e0()));
    expectUnchanged();
  }

		return nil, crypto.ErrInvalidCustomerKey
	}
	return reader, nil
}

// DecryptBlocksRequestR - same as DecryptBlocksRequest but with a
// reader
func DecryptBlocksRequestR(inputReader io.Reader, h http.Header, seqNumber uint32, partStart int, oi ObjectInfo, copySource bool) (io.Reader, error) {
	bucket, object := oi.Bucket, oi.Name
	// Single part case
	if !oi.isMultipart() {
		var reader io.Reader
		var err error

import org.dbflute.Entity;
import org.dbflute.dbmeta.AbstractDBMeta;
import org.dbflute.dbmeta.info.ColumnInfo;
import org.dbflute.dbmeta.info.UniqueInfo;
import org.dbflute.dbmeta.name.TableSqlName;
import org.dbflute.dbmeta.property.PropertyGateway;
import org.dbflute.dbway.DBDef;
import org.dbflute.util.DfTypeUtil;

/**
 * @author ESFlute (using FreeGen)
 */

            result.setCreatedTime(DfTypeUtil.toLong(source.get("createdTime")));
            result.setExpiredTime(DfTypeUtil.toLong(source.get("expiredTime")));
            result.setName(DfTypeUtil.toString(source.get("name")));
            result.setParameterName(DfTypeUtil.toString(source.get("parameter_name")));
            result.setPermissions(toStringArray(source.get("permissions")));

因此，同一個模型的 JSON Schema 會依用於輸入或輸出而不同：

- 用於輸入時，`description` 不是必填
- 用於輸出時，`description` 是必填（且可能為 `None`，在 JSON 中為 `null`）

### 文件中的輸出模型 { #model-for-output-in-docs }

你也可以在文件中檢視輸出模型，`name` 與 `description` 都以紅色星號標示為必填：

<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image03.png">
</div>

### 文件中的輸入與輸出模型 { #model-for-input-and-output-in-docs }

因此，一个模型的 JSON Schema 会根据它用于**输入还是输出**而有所不同：

- 用于**输入**时，`description` **不是必填**
- 用于**输出**时，它是**必填**（并且可能为 `None`，在 JSON 中为 `null`）

### 文档中的输出模型 { #model-for-output-in-docs }

你也可以在文档中查看输出模型，`name` 和 `description` **都**被**红色星号**标记为**必填**：

<div class="screenshot">
<img src="/img/tutorial/separate-openapi-schemas/image03.png">
</div>

### 文档中的输入/输出模型 { #model-for-input-and-output-in-docs }

  }

  /**
   * Returns an immutable sorted multiset containing the elements of a sorted multiset, sorted by
   * the same {@code Comparator}. That behavior differs from {@link #copyOf(Iterable)}, which always
   * uses the natural ordering of the elements.
   *
   * <p>Despite the method name, this method attempts to avoid actually copying the data when it is

Versuchen Sie, diese Zeile zu ändern:

```Python
    return {"item_name": item.name, "item_id": item_id}
```

... von:

```Python
        ... "item_name": item.name ...
```

... zu:

```Python
        ... "item_price": item.price ...
```