page.get_by_role("button", name="Try it out").click()
    page.get_by_role("heading", name="Servers").click()
    # Manually add the screenshot
    page.screenshot(path="docs/en/docs/img/tutorial/query-param-models/image01.png")

    # ---------------------
    context.close()
    browser.close()


process = subprocess.Popen(
    ["fastapi", "run", "docs_src/query_param_models/tutorial001.py"]
)
try:

<img src="/img/tutorial/response-model/image01.png">

И также обе модели будут использованы в интерактивной документации API:

<img src="/img/tutorial/response-model/image02.png">

## Другие аннотации типов

## ドキュメントを見る

自動ドキュメントを見ると、入力モデルと出力モデルがそれぞれ独自のJSON Schemaを持っていることが確認できます。

<img src="https://fastapi.tiangolo.com/img/tutorial/response-model/image01.png">

そして、両方のモデルは、対話型のAPIドキュメントに使用されます:

<img src="https://fastapi.tiangolo.com/img/tutorial/response-model/image02.png">

## レスポンスモデルのエンコーディングパラメータ

レスポンスモデルにはデフォルト値を設定することができます:

```Python hl_lines="11 13 14"

            params(name)
            params("${providedBy.size + 1}")
        }
    }

    /**
     * For all modules providing a capability, always use the preferred module, even if there's no conflict.
     * In other words, will forcefully upgrade all modules providing a capability to a selected module.
     *
     * @param to the preferred module
     */
    private

            </goals>
            <configuration>
              <version>4.0.0</version>
              <models>
                <model>target/mdo/maven.mdo</model>
              </models>
              <templates>
                <template>src/main/mdo/model-v3.vm</template>
                <template>src/main/mdo/merger.vm</template>
                <template>src/main/mdo/transformer.vm</template>

 * under the License.
 */
package org.apache.maven.model.building;

import java.util.EnumSet;
import java.util.List;
import java.util.Set;

import org.apache.maven.model.Model;
import org.apache.maven.model.io.ModelParseException;

/**
 * Collects problems that are encountered during model building. The primary purpose of this component is to account for

from enum import Enum

from fastapi import FastAPI


class ModelName(str, Enum):
    alexnet = "alexnet"
    resnet = "resnet"
    lenet = "lenet"


app = FastAPI()


@app.get("/models/{model_name}")
async def get_model(model_name: ModelName):
    if model_name is ModelName.alexnet:
        return {"model_name": model_name, "message": "Deep Learning FTW!"}

    if model_name.value == "lenet":

     * @return the transformed model, or the input model if no transformation is needed
     * @throws ModelTransformerException
     */
    @Nonnull
    default Model transformFileModel(@Nonnull Model model) throws ModelTransformerException {
        return model;
    }

    /**
     * Apply a transformation on the raw models.
     *
     * This method will be called on each raw model being loaded,

    disabled = user_dict["disabled"],
    hashed_password = user_dict["hashed_password"],
)
```

/// info

For a more complete explanation of `**user_dict` check back in [the documentation for **Extra Models**](../extra-models.md#about-user_indict){.internal-link target=_blank}.

///

## Return the token

The response of the `token` endpoint must be a JSON object.

package controllers;

import models.*;
import org.codelibs.fess.suggest.request.suggest.SuggestResponse;
import org.elasticsearch.common.xcontent.XContentBuilder;
import org.elasticsearch.common.xcontent.json.JsonXContent;
import play.Logger;
import play.mvc.Controller;
import play.mvc.Result;

import java.util.Map;

public class Suggest extends Controller {
    public static Result get() {