<li class="breadcrumb-item"><la:link href="/admin/searchlog">
                                <la:message key="labels.searchlog_configuration_link_top"/>
                            </la:link></li>
                            <c:if test="${crudMode == 4}">
                                <li class="breadcrumb-item active"><la:message

3. Die Datenklasse `Author` enthält eine Liste von `Item`-Datenklassen.

4. Die Datenklasse `Author` wird im `response_model`-Parameter verwendet.

5. Sie können andere Standard-Typannotationen mit Datenklassen als Requestbody verwenden.

    In diesem Fall handelt es sich um eine Liste von `Item`-Datenklassen.

2. `pydantic.dataclasses` is a drop-in replacement for `dataclasses`.

3. The `Author` dataclass includes a list of `Item` dataclasses.

4. The `Author` dataclass is used as the `response_model` parameter.

5. You can use other standard type annotations with dataclasses as the request body.

    In this case, it's a list of `Item` dataclasses.

6. Here we are returning a dictionary that contains `items` which is a list of dataclasses.

	for len(r.current) <= r.recordsRead {
		if r.err != nil {
			return nil, r.err
		}
		// Move to next block
		item, ok := <-r.queue
		if !ok {
			r.err = io.EOF
			return nil, r.err
		}

		r.csvDstPool.Put(r.current)
		r.current = <-item.dst
		r.err = item.err
		r.recordsRead = 0
	}
	csvRecord := r.current[r.recordsRead]
	r.recordsRead++

	// If no column names are set, use _(index)

                    "message": {
                        "title": "Message",
                        "type": "string"
                    }
                }
            },
            "Item": {
                "title": "Item",
                "required": [
                    "id",
                    "value"
                ],
                "type": "object",
                "properties": {

	for k, v := range meta {
		azMeta[k] = to.Ptr(v)
	}
	resp, err := az.clnt.UploadStream(ctx, az.Bucket, az.getDest(object), io.LimitReader(r, length), &azblob.UploadStreamOptions{
		Concurrency: 4,
		AccessTier:  az.tier(), // set tier if specified
		Metadata:    azMeta,
	})
	if err != nil {
		return "", azureToObjectError(err, az.Bucket, az.getDest(object))
	}
	vid := ""
	if resp.VersionID != nil {
		vid = *resp.VersionID
	}

This means:

* The variable `prices` is a `dict`:
    * The keys of this `dict` are of type `str` (let's say, the name of each item).
    * The values of this `dict` are of type `float` (let's say, the price of each item).

#### Union { #union }

You can declare that a variable can be any of **several types**, for example, an `int` or a `str`.

///

`response_model` receives the same type you would declare for a Pydantic model field, so, it can be a Pydantic model, but it can also be, e.g. a `list` of Pydantic models, like `List[Item]`.

FastAPI will use this `response_model` to do all the data documentation, validation, etc. and also to **convert and filter the output data** to its type declaration.

/// tip

Isso fará com que o FastAPI pule a geração do modelo de resposta e, dessa forma, você pode ter quaisquer anotações de tipo de retorno que precisar sem afetar seu aplicativo FastAPI. 🤓

## Parâmetros de codificação do modelo de resposta { #response-model-encoding-parameters }

Seu modelo de resposta pode ter valores padrão, como:

{* ../../docs_src/response_model/tutorial004_py310.py hl[9,11:12] *}

        raise InternalError(
            f"The portal gun is too dangerous to be owned by {username}"
        )
    if item_id != "plumbus":
        raise HTTPException(
            status_code=404, detail="Item not found, there's only a plumbus here"
        )