let TMP_KEY_IGNORE = 'node-ignore'
/* istanbul ignore else */
if (typeof Symbol !== 'undefined') {
    TMP_KEY_IGNORE = Symbol.for('node-ignore')
}
const KEY_IGNORE = TMP_KEY_IGNORE

const define = (object, key, value) =>
    Object.defineProperty(object, key, {value})

const REGEX_REGEXP_RANGE = /([0-z])-([0-z])/g

const RETURN_FALSE = () => false

// Sanitize the range of a regular expression

!!! tip
    To avoid confusion between the SQLAlchemy *models* and the Pydantic *models*, we will have the file `models.py` with the SQLAlchemy models, and the file `schemas.py` with the Pydantic models.

    These Pydantic models define more or less a "schema" (a valid data shape).

    So this will help us avoiding confusion while using both.

### Create initial Pydantic *models* / schemas

    }
}

fun String.toCapitalized() = this.replaceFirstChar { if (it.isLowerCase()) it.titlecase(Locale.getDefault()) else it.toString() }

/**
 * Define clean up rules for the project.
 * See https://www.jetbrains.com/help/teamcity/teamcity-data-clean-up.html#Clean-up+Rules
 *
 * @param historyDays days number of days to store build history .

    return burgers
```

### More technical details

You might have noticed that `await` can only be used inside of functions defined with `async def`.

But at the same time, functions defined with `async def` have to be "awaited". So, functions with `async def` can only be called inside of functions defined with `async def` too.

So, about the egg and the chicken, how do you call the first `async` function?

    open fun headers(headers: Headers) = commonHeaders(headers)

    /**
     * Sets this request's `Cache-Control` header, replacing any cache control headers already
     * present. If [cacheControl] doesn't define any directives, this clears this request's
     * cache-control headers.
     */
    open fun cacheControl(cacheControl: CacheControl): Builder = commonCacheControl(cacheControl)

    ```

=== "Python 3.8+"

    ```Python hl_lines="9-11  14-15  18  19  23"
    {!> ../../../docs_src/generate_clients/tutorial001.py!}
    ```

Notice that the *path operations* define the models they use for request payload and response payload, using the models `Item` and `ResponseMessage`.

### API Docs

# Eventos de vida útil

Você pode definir a lógica (código) que poderia ser executada antes da aplicação **inicializar**. Isso significa que esse código será executado **uma vez**, **antes** da aplicação **começar a receber requisições**.

Do mesmo modo, você pode definir a lógica (código) que será executada quando a aplicação estiver sendo **encerrada**. Nesse caso, este código será executado **uma vez**, **depois** de ter possivelmente tratado **várias requisições**.

	wg.Wait()
}

// newMinioResourceCollector describes the collector
// and returns reference of minio resource Collector
// It creates the Prometheus Description which is used
// to define Metric and  help string
func newMinioResourceCollector(metricsGroups []*MetricsGroupV2) *minioResourceCollector {
	return &minioResourceCollector{
		metricsGroups: metricsGroups,

    * Como as estruturas de dados do Pydantic são apenas instâncias de classes que você define, a auto completação, _linting_, _mypy_ e a sua intuição devem funcionar corretamente com seus dados validados.
* Valida **estruturas complexas**:
    * Use modelos hierárquicos do Pydantic, `List` e `Dict` do `typing` do Python, etc.

		case guessHas:
			schema.guessRelation(relation, field, guessEmbeddedHas)
		// case guessEmbeddedHas:
		default:
			schema.err = fmt.Errorf("invalid field found for struct %v's field %s: define a valid foreign key for relations or implement the Valuer/Scanner interface",
				schema, field.Name)
		}
	}

	switch gl {
	case guessBelongs:
		primarySchema, foreignSchema = relation.FieldSchema, schema