### Recapitulando

Resumindo, você declara **uma vez** os tipos dos parâmetros, corpo etc. como parâmetros de função.

Você faz isso com os tipos padrão do Python moderno.

Você não terá que aprender uma nova sintaxe, métodos ou classes de uma biblioteca específica etc.

Apenas **Python** padrão.

Por exemplo, para um `int`:

```Python
item_id: int
```

ou para um modelo mais complexo, `Item`:

      if (year in 70..99) year += 1900
      if (year in 0..69) year += 2000

      // If any partial is omitted or out of range, return -1. The date is impossible. Note that leap
      // seconds are not supported by this syntax.
      require(year >= 1601)
      require(month != -1)
      require(dayOfMonth in 1..31)
      require(hour in 0..23)
      require(minute in 0..59)
      require(second in 0..59)

### Zusammenfassung

Zusammengefasst deklarieren Sie **einmal** die Typen von Parametern, Body, etc. als Funktionsparameter.

Das machen Sie mit modernen Standard-Python-Typen.

Sie müssen keine neue Syntax, Methoden oder Klassen einer bestimmten Bibliothek usw. lernen.

Nur Standard-**Python+**.

Zum Beispiel für ein `int`:

```Python
item_id: int
```

oder für ein komplexeres `Item`-Modell:

among the schedulers for each pod. Documentation is [here](http://kubernetes.io/docs/admin/multiple-schedulers.md), design doc is [here](docs/proposals/multiple-schedulers.md).
  * More expressive node affinity syntax, and support for “soft” node affinity.
Node selectors (to constrain pods to schedule on a subset of nodes) now support

### Samenvatting

Samengevat declareer je **eenmalig** de types van parameters, body, etc. als functieparameters.

Dat doe je met standaard moderne Python types.

Je hoeft geen nieuwe syntax te leren, de methods of klassen van een specifieke bibliotheek, etc.

Gewoon standaard **Python**.

Bijvoorbeeld, voor een `int`:

```Python
item_id: int
```

of voor een complexer `Item` model:

   * @return Is the domain name syntactically valid?
   */
  private static boolean validateSyntax(List<String> parts) {
    int lastIndex = parts.size() - 1;

    // Validate the last part specially, as it has different syntax rules.

    if (!validatePart(parts.get(lastIndex), true)) {
      return false;
    }

    for (int i = 0; i < lastIndex; i++) {
      String part = parts.get(i);
      if (!validatePart(part, false)) {

        try {
            execJob.testAddFessCustomSystemProperties(cmdList, "[invalid(regex");
            fail("Should handle invalid regex");
        } catch (Exception e) {
            // Expected to throw pattern syntax exception
            assertTrue(e instanceof java.util.regex.PatternSyntaxException);
        }
    }

together. The directive can include a list of build constraints limiting its
effect to systems satisfying one of the constraints
(see https://golang.org/pkg/go/build/#hdr-Build_Constraints for details about the constraint syntax).
For example:

	// #cgo CFLAGS: -DPNG_DEBUG=1
	// #cgo amd64 386 CFLAGS: -DX86=1
	// #cgo LDFLAGS: -lpng
	// #include <png.h>
	import "C"

## Managing User/Group Access Policy

Access policies may be associated by their name with a group or user directly. Access policies are first defined on the MinIO server using IAM policy JSON syntax. To define a new policy, you can use the [AWS policy generator](https://awspolicygen.s3.amazonaws.com/policygen.html). Copy the policy into a text file `mypolicy.json` and issue the command like so:

```sh

Trong Python 3.6 hoặc lớn hơn (bao gồm Python 3.10) bạn có thể sử dụng kiểu `Union` từ `typing` và đặt trong dấu ngoặc vuông những giá trị được chấp nhận.

In Python 3.10 there's also a **new syntax** where you can put the possible types separated by a <abbr title='also called "bitwise or operator", but that meaning is not relevant here'>vertical bar (`|`)</abbr>.