if (typeof moment !== 'function' && moment.hasOwnProperty('default')) moment = moment['default']
            return factory(moment, jquery);
        });
    } else if (typeof module === 'object' && module.exports) {
        // Node / Browserify
        //isomorphic issue
        var jQuery = (typeof window != 'undefined') ? window.jQuery : undefined;
        if (!jQuery) {
            jQuery = require('jquery');

O `app_name` seria `"ChimichangApp"`.

E `items_per_user` manteria seu valor padrão de `50`.

## Configurações em outro módulo { #settings-in-another-module }

Você pode colocar essas configurações em outro arquivo de módulo como visto em [Aplicações Maiores - Múltiplos Arquivos](../tutorial/bigger-applications.md).

Por exemplo, você poderia ter um arquivo `config.py` com:

# 声明请求示例数据 { #declare-request-example-data }

你可以为你的应用将接收的数据声明示例。

这里有几种实现方式。

## Pydantic 模型中的额外 JSON Schema 数据 { #extra-json-schema-data-in-pydantic-models }

你可以为一个 Pydantic 模型声明 `examples`，它们会被添加到生成的 JSON Schema 中。

{* ../../docs_src/schema_extra_example/tutorial001_py310.py hl[13:24] *}

这些额外信息会原样添加到该模型输出的 JSON Schema 中，并会在 API 文档中使用。

你可以使用属性 `model_config`，它接收一个 `dict`，详见 [Pydantic 文档：配置](https://docs.pydantic.dev/latest/api/config/)。

            field_info=FieldInfo(annotation=model),
            name=model.__name__,
            mode="validation",
        )
        for model in flat_validation_models
    ]
    flat_serialization_model_fields = [
        ModelField(
            field_info=FieldInfo(annotation=model),
            name=model.__name__,
            mode="serialization",
        )
        for model in flat_serialization_models
    ]

### Memoria por Proceso { #memory-per-process }

Ahora, cuando el programa carga cosas en memoria, por ejemplo, un modelo de Machine Learning en una variable, o el contenido de un archivo grande en una variable, todo eso **consume un poco de la memoria (RAM)** del servidor.

<div class="termy">

```console
$ python -m pip install --upgrade pip

---> 100%
```

</div>

/// tip | Порада

Іноді ви можете отримати помилку **`No module named pip`** при спробі оновити pip.

Якщо це сталося, встановіть і оновіть pip за допомогою команди нижче:

<div class="termy">

```console
$ python -m ensurepip --upgrade

---> 100%
```

func (v *Value) negate() {
	switch x := v.value.(type) {
	case float64:
		v.value = -x
	case int64:
		v.value = -x
	}
}

// Value comparison functions: we do not expose them outside the
// module. Logical operators "<", ">", ">=", "<=" work on strings and
// numbers. Equality operators "=", "!=" work on strings,
// numbers and booleans.

// Supported comparison operators
const (
	opLt    = "<"

modules, and to copy and distribute the resulting executable under
terms of your choice, provided that you also meet, for each linked
independent module, the terms and conditions of the license of that
module.  An independent module is a module which is not derived from or
based on this library.  If you modify this library, you may extend this
exception to your version of the library, but you are not obligated to

            logger.info("");
            infoLine('-');
            String name = event.getProject().getName();
            infoMain("Skipping " + name);
            logger.info("{} was not built because a module it depends on failed to build.", name);

            infoLine('-');
        }
    }

    @Override
    public void projectStarted(ExecutionEvent event) {
        if (logger.isInfoEnabled()) {

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

/// info

想更完整地了解 `**user_dict`，請回到[**額外模型** 的文件](../extra-models.md#about-user-in-dict)。

///

## 回傳 token { #return-the-token }

`token` 端點的回應必須是 JSON 物件。

它應該有一個 `token_type`。在本例中，我們使用「Bearer」tokens，token 類型應該是「`bearer`」。