func TestGetObjectInlineNotInline(t *testing.T) {
	ctx, cancel := context.WithCancel(context.Background())
	defer cancel()

	// Create a backend with 4 disks named disk{1...4}, this name convention
	// because we will unzip some object data from a sample archive.
	const numDisks = 4
	path := t.TempDir()

	var fsDirs []string
	for i := 1; i <= numDisks; i++ {

    yield request_state
    legacy_request_state_context_var.reset(contextvar_token)
```

...before this change it would raise an error when resetting the context variable, because the `contextvars` context was different, because of the way it was implemented.

            )
            # Create a clone of the field, so that a Pydantic submodel is not returned
            # as is just because it's an instance of a subclass of a more limited class
            # e.g. UserInDB (containing hashed_password) could be a subclass of User
            # that doesn't have the hashed_password. But because it's a subclass, it
            # would pass the validation and be returned as is.

			// Experiments (using IndexPeriodic) suggest
			// the cutover is about 16 byte skips.
			// TODO: if large prefixes of sep are matching
			// we should cutover at even larger average skips,
			// because Equal becomes that much more expensive.
			// This code does not take that effect into account.
			j := bytealg.IndexRabinKarp(s[i:], sep)
			if j < 0 {
				return -1
			}
			return i + j
		}
	}

        *   (since v2.7) Stateful ops used in `tf.data.Dataset`
        *   (since v2.7) `tf.convert_to_tensor` when fed with (sparse)
            `tf.IndexedSlices` (because it uses `tf.math.unsorted_segment_sum`)
        *   (since v2.7) `tf.gather` backprop (because `tf.convert_to_tensor`
            reduces `tf.gather`'s (sparse) `tf.IndexedSlices` gradients into its
            dense `params` input)

  * Note that because any taints you might have created with Kubernetes 1.5 can only affect the scheduling of new pods (the `NoExecute` taint effect is introduced in 1.6), neither the master upgrade nor your running `kubectl taint` to re-create the taints will affect pods...

## Changelog since v1.18.19

## Changes by Kind

### Bug or Regression

- Reverted the previous fix for portforward cleanup because it introduced a kubelet regression which can lead into segmentation faults. ([#102838](https://github.com/kubernetes/kubernetes/pull/102838), [@saschagrunert](https://github.com/saschagrunert)) [SIG API Machinery and Node]

    @Override
    public @Nullable Object[] toArray() {
      synchronized (mutex) {
        /*
         * toArrayImpl returns `@Nullable Object[]` rather than `Object[]` but only because it can
         * be used with collections that may contain null. This collection never contains nulls, so
         * we could return `Object[]`. But this class is private and J2KT cannot change return types

    @Override
    public @Nullable Object[] toArray() {
      synchronized (mutex) {
        /*
         * toArrayImpl returns `@Nullable Object[]` rather than `Object[]` but only because it can
         * be used with collections that may contain null. This collection never contains nulls, so
         * we could return `Object[]`. But this class is private and J2KT cannot change return types

`async def`를 사용하면, 파이썬은 해당 함수 내에서 `await` 표현에 주의해야한다는 사실과, 해당 함수의 실행을 "일시정지"⏸하고 다시 돌아오기 전까지 다른 작업을 수행🔀할 수 있다는 것을 알게됩니다.

`async def`f 함수를 호출하고자 할 때, "대기"해야합니다. 따라서, 아래는 동작하지 않습니다.

```Python
# This won't work, because get_burgers was defined with: async def
burgers = get_burgers(2)
```

---

따라서, `await`f를 사용해서 호출할 수 있는 라이브러리를 사용한다면, 다음과 같이 `async def`를 사용하는 *경로 작동 함수*를 생성해야 합니다:

```Python hl_lines="2-3"