## Liste von Modellen { #list-of-models }

Auf die gleiche Weise können Sie Responses von Listen von Objekten deklarieren.

Dafür verwenden Sie Pythons Standard-`typing.List` (oder nur `list` in Python 3.9 und höher):

{* ../../docs_src/extra_models/tutorial004_py39.py hl[18] *}

## Response mit beliebigem `dict` { #response-with-arbitrary-dict }

//// tab | Info

This is a not complete and not normative list of (mostly) technical terms seen in the docs. It may be helpful for the prompt designer to figure out for which terms the LLM needs a helping hand. For example when it keeps reverting a good translation to a suboptimal translation. Or when it has problems conjugating/declinating a term in your language.

        dest = growBuffer(dest, destIndex, destSize);
      }

      // If we have skipped any characters, we need to copy them now.
      if (charsSkipped > 0) {
        s.getChars(lastEscape, index, dest, destIndex);
        destIndex += charsSkipped;
      }

      // Copy the replacement string into the dest buffer as needed.
      if (rlen > 0) {

        final String path = dest.getLocator().getUNCPath();
        if (path.length() > 1) {
            try {
                dest.mkdir();
                if (dh.hasCapability(SmbConstants.CAP_NT_SMBS)) {
                    dest.setPathInformation(src.getAttributes(), src.createTime(), src.lastModified(), src.lastAccess());
                } else {

		healing := globalBackgroundHealState.getLocalHealingDisks()
		for _, disk := range healing {
			status.HealDisks = append(status.HealDisks, disk.Endpoint)
		}

		return status, true
	}

	si := o.LocalStorageInfo(ctx, true)

	indexed := make(map[string][]madmin.Disk)
	for _, disk := range si.Disks {
		setIdx := fmt.Sprintf("%d-%d", disk.PoolIndex, disk.SetIndex)
		indexed[setIdx] = append(indexed[setIdx], disk)
	}

    @asynccontextmanager
    async def lifespan(app: FastAPI) -> AsyncGenerator[dict[str, bool], None]:
        state.app_startup = True
        yield {"app": True}
        state.app_shutdown = True

    @asynccontextmanager
    async def router_lifespan(app: FastAPI) -> AsyncGenerator[dict[str, bool], None]:
        state.router_startup = True
        yield {"router": True}

    static void writeULong(final byte[] dest, final int offset, final int ulong) {
        dest[offset] = (byte) (ulong & 0xff);
        dest[offset + 1] = (byte) (ulong >> 8 & 0xff);
        dest[offset + 2] = (byte) (ulong >> 16 & 0xff);
        dest[offset + 3] = (byte) (ulong >> 24 & 0xff);
    }

    static void writeUShort(final byte[] dest, final int offset, final int ushort) {
        dest[offset] = (byte) (ushort & 0xff);

        examples: Optional[list[Any]] = None,
        example: Annotated[
            Optional[Any],
            deprecated(
                "Deprecated in OpenAPI 3.1.0 that now uses JSON Schema 2020-12, "
                "although still supported. Use examples instead."
            ),
        ] = _Unset,
        openapi_examples: Optional[dict[str, Example]] = None,

#### 用其它模型中的内容生成 Pydantic 模型

上例中 ，从 `user_in.dict()` 中得到了 `user_dict`，下面的代码：

```Python
user_dict = user_in.dict()
UserInDB(**user_dict)
```

等效于：

```Python
UserInDB(**user_in.dict())
```

……因为 `user_in.dict()` 是字典，在传递给 `UserInDB` 时，把 `**` 加在  `user_in.dict()` 前，可以让 Python 进行**解包**。

这样，就可以用其它 Pydantic 模型中的数据生成 Pydantic 模型。

#### 解包 `dict` 和更多关键字

import org.codelibs.fess.app.web.CrudMode;
import org.codelibs.fess.app.web.admin.dict.stopwords.UploadForm;
import org.codelibs.fess.app.web.api.ApiResult;
import org.codelibs.fess.app.web.api.admin.FessApiAdminAction;
import org.codelibs.fess.dict.stopwords.StopwordsFile;
import org.codelibs.fess.dict.stopwords.StopwordsItem;
import org.lastaflute.web.Execute;
import org.lastaflute.web.response.JsonResponse;