编写带有类型标注的标准 Python：

```Python
from datetime import date

from pydantic import BaseModel

# 将变量声明为 str
# 并在函数内获得编辑器支持
def main(user_id: str):
    return user_id


# 一个 Pydantic 模型
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像这样来使用：

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

        notReallyReleased.removeAll(authoritativeReleasedVersions);
        if (notReallyReleased.isEmpty() == false) {
            throw new IllegalStateException(
                "out-of-date released versions"
                    + "\nFollowing versions are not really released, but the build thinks they are: "
                    + notReallyReleased
            );
        }

///

La única cosa que la función devuelta por `GzipRequest.get_route_handler` hace diferente es convertir el `Request` en un `GzipRequest`.

Haciendo esto, nuestro `GzipRequest` se encargará de descomprimir los datos (si es necesario) antes de pasarlos a nuestras *path operations*.

Después de eso, toda la lógica de procesamiento es la misma.

import java.io.IOException;
import java.io.InputStream;
import java.io.InputStreamReader;
import java.io.OutputStreamWriter;
import java.io.Writer;
import java.util.ArrayList;
import java.util.Collections;
import java.util.Date;
import java.util.List;

import org.codelibs.core.io.CloseableUtil;
import org.codelibs.core.lang.StringUtil;
import org.codelibs.curl.CurlResponse;
import org.codelibs.fess.Constants;

---

# FastAPI

Official FastAPI skill to write code with best practices, keeping up to date with new versions and features.

## Use the `fastapi` CLI

Run the development server on localhost with reload:

import java.io.File;
import java.io.FileInputStream;
import java.io.FileOutputStream;
import java.io.IOException;
import java.io.InputStream;
import java.nio.charset.StandardCharsets;
import java.util.Date;

import org.codelibs.curl.CurlResponse;
import org.codelibs.fess.dict.DictionaryException;
import org.codelibs.fess.dict.DictionaryFile;
import org.codelibs.fess.dict.DictionaryManager;

如果你寫帶有 Python 型別的程式碼：

```Python
from datetime import date

from pydantic import BaseModel

# 宣告一個變數為 string
# 並在函式中獲得 editor support
def main(user_id: str):
    return user_id


# 宣告一個 Pydantic model
class User(BaseModel):
    id: int
    name: str
    joined: date
```

可以像這樣來使用：

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

        });
        return asJson(new ApiResponse().status(Status.OK).result());
    }

    /**
     * Creates an EditBody from an AccessToken entity for API responses.
     * Converts permissions and handles date formatting.
     *
     * @param entity the AccessToken entity to convert
     * @return the EditBody representation of the entity
     */
    protected EditBody createEditBody(final AccessToken entity) {

  integrity sha512-GAj5FOq0Hd+RsCGVJxZuKaIDXDf3h6GQoNEjFgbLLI/trgtavwUbSnZ5pVfg27DVCaWjIohryS0JFwIJyT2cMg==

date-format@^4.0.14:
  version "4.0.14"
  resolved "https://registry.yarnpkg.com/date-format/-/date-format-4.0.14.tgz#7a8e584434fb169a521c8b7aa481f355810d9400"
  integrity sha512-39BOQLs9ZjKh0/patS9nrT8wc3ioX3/eA/zgbKNopnF2wCqJEoxywwwElATYvRsXdnOxA/OQeQoFZ3rFjVajhg==

 */
package org.codelibs.fess.opensearch.user.allcommon;

import java.time.LocalDateTime;
import java.util.ArrayList;
import java.util.Collection;
import java.util.Date;
import java.util.Iterator;
import java.util.List;
import java.util.ListIterator;
import java.util.Map;
import java.util.function.Function;

import org.codelibs.fess.opensearch.user.allcommon.EsAbstractEntity.DocMeta;