# Finally: Run your script of choice.
#   If you've clicked on a test result from our CI (via a dashboard or GitHub link),
#   click to "Invocation Details" and find BUILD_CONFIG, which will contain a
#   "build_file" item that indicates the script used.
ci/official/wheel.sh

# Advanced: Select specific build/test targets with "any.sh".
# TF_ANY_TARGETS=":your/target" TF_ANY_MODE="test" ci/official/any.sh

  // UnhealthyPodEvictionPolicy defines the criteria for when unhealthy pods
  // should be considered for eviction. Current implementation considers healthy pods,
  // as pods that have status.conditions item with type="Ready",status="True".
  //
  // Valid policies are IfHealthyBudget and AlwaysAllow.
  // If no policy is specified, the default behavior will be used,
  // which corresponds to the IfHealthyBudget policy.
  //

		p.lineNum = p.lex.Line()
		switch tok {
		case '\n', ';':
			continue
		case scanner.EOF:
			return "", "", nil, false
		}
		break
	}
	// First item must be an identifier.
	if tok != scanner.Ident {
		p.errorf("expected identifier, found %q", p.lex.Text())
		return "", "", nil, false // Might as well stop now.
	}
	word, cond = p.lex.Text(), ""

```Python hl_lines="9  14  20  23  27"
{!> ../../docs_src/body_nested_models/tutorial007.py!}
```

////

/// info | "Информация"

Заметьте, что у объекта `Offer` есть список объектов `Item`, которые, в свою очередь, могут содержать необязательный список объектов `Image`

///

## Тела с чистыми списками элементов

## 깊게 중첩된 모델

단독으로 깊게 중첩된 모델을 정의할 수 있습니다:

```Python hl_lines="9  14  20  23  27"
{!../../docs_src/body_nested_models/tutorial007.py!}
```

/// info | "정보"

`Offer`가 선택사항 `Image` 리스트를 차례로 갖는 `Item` 리스트를 어떻게 가지고 있는지 주목하세요

///

## 순수 리스트의 본문

예상되는 JSON 본문의 최상위 값이 JSON `array`(파이썬 `list`)면, Pydantic 모델에서와 마찬가지로 함수의 매개변수에서 타입을 선언할 수 있습니다:

```Python
images: List[Image]
```

이를 아래처럼:

////

//// tab | Python 3.8+

```Python hl_lines="9  14  20  23  27"
{!> ../../docs_src/body_nested_models/tutorial007.py!}
```

////

/// info

Notice how `Offer` has a list of `Item`s, which in turn have an optional list of `Image`s

///

## Bodies of pure lists

But by default, it all **"just works"**.

### Validation

* Validation for most (or all?) Python **data types**, including:
    * JSON objects (`dict`).
    * JSON array (`list`) defining item types.
    * String (`str`) fields, defining min and max lengths.
    * Numbers (`int`, `float`) with min and max values, etc.

* Validation for more exotic types, like:
    * URL.
    * Email.
    * UUID.

Hepsi varsayılan olarak **çalışıyor**.


### Doğrulama

* Neredeyse bütün (ya da hepsi?) Python **data typeları** için doğrulama, kapsadıkları:
    * JSON objeleri (`dict`).
    * JSON array (`list`) item type'ı belirtirken.
    * String (`str`) parametresi, minimum ve maksimum uzunluk gibi sınırlandırmalar yaparken.
    * Numaralar (`int`, `float`) maksimum ve minimum gibi sınırlandırmalar yaparken.

For large responses, returning a `Response` directly is much faster than returning a dictionary.

	select {
	case <-ctx.Done():
		return ctx.Err()
	case <-time.After(d):
	}
	return nil
}

// helper type to return either item or error.
type itemOrErr[V any] struct {
	Item V
	Err  error
}

func filterStorageClass(ctx context.Context, s string) string {
	// Veeam 14.0 and later clients are not compatible with custom storage classes.