- [Swift Apps](https://docs.gradle.org/current/samples/sample_building_swift_applications.html)
  - [Swift Libraries](https://docs.gradle.org/current/samples/sample_building_swift_libraries.html)

> 📘 Explore Gradle’s full array of resources through the [Gradle Documentation](https://docs.gradle.org/).

---

### 🛠 **Seamless IDE & CI Integration**

        ubiquity](https://github.com/google/guava/wiki/PhilosophyExplained#utility-times-ubiquity).


        #### Utility: compare with alternatives


        There is always *some* alternative to adding a new feature to Guava, even if it's just
        forking Guava yourself.


        We want to see that new features have some significant advantage over the alternatives.

   * us to tell immediately (see tryAcquire(timeout)) whether a particular timeout is enough to get
   * us to the point of the next scheduling time, since we always maintain that. And what we mean by
   * "an unused RateLimiter" is also defined by that notion: when we observe that the
   * "expected arrival time of the next request" is actually in the past, then the difference (now -

	// you can use the key name in this field as marker in the subsequent
	// request to get next set of objects.
	//
	// NOTE: AWS S3 returns NextMarker only if you have delimiter request parameter specified,
	//       MinIO always returns NextMarker.
	NextMarker string

	// NextVersionIDMarker may be set of IsTruncated is true
	NextVersionIDMarker string

	// List of objects info for this request.
	Objects []ObjectInfo

As of Go 1.23 (`winsymlink=1`), mount points no longer have [`os.ModeSymlink`](/pkg/os#ModeSymlink)
set, and reparse points that are not symlinks, Unix sockets, or dedup files now
always have [`os.ModeIrregular`](/pkg/os#ModeIrregular) set. As a result of these changes,
[`filepath.EvalSymlinks`](/pkg/path/filepath#EvalSymlinks) no longer evaluates
mount points, which was a source of many inconsistencies and bugs.

     * as {@link #testCompareUuidVersionStringStream()}, it covers broader range and in case it fails it records
     * the failed array, so we can investigate more.
     */
    @Test
    void testCompareUuidRandom() {
        for (int j = 0; j < 32; j++) {
            ArrayList<Version> versions = new ArrayList<>();

					Operator string
					Key      string
					Value    string
				}{
					policyCondEqual, "$" + strings.ToLower(k), toString(v),
				})
			}
		case []interface{}: // Handle array types.
			if len(condt) != 3 { // Return error if we have insufficient elements.
				return parsedPolicy, fmt.Errorf("Malformed conditional fields %s of type %s found in POST policy form", condt, reflect.TypeOf(condt).String())

///

## Тела с чистыми списками элементов

Если верхний уровень значения тела JSON-объекта представляет собой JSON `array` (в Python - `list`), вы можете объявить тип в параметре функции, так же, как в моделях Pydantic:

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

в Python 3.9 и выше:

```Python
images: list[Image]
```

{!../../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:

```Python hl_lines="15"
{!../../docs_src/body_nested_models/tutorial008.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

If the top level value of the JSON body you expect is a JSON `array` (a Python `list`), you can declare the type in the parameter of the function, the same as in Pydantic models:

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

or in Python 3.9 and above:

```Python