use_repo(
    xla_third_party,
    "FP16",
    "FXdiv",
    "XNNPACK",
    "compute_library",
    "cpuinfo",
    "cudnn_frontend_archive",
    "cutlass_archive",
    "dlpack",
    "ducc",
    "eigen_archive",
    "farmhash_archive",
    "farmhash_gpu_archive",
    "gemmlowp",
    "gloo",
    "highwayhash",
    "hwloc",
    "implib_so",
    "llvm-raw",

    "@onednn//:__subpackages__",
    "@org_sqlite//:__subpackages__",
    "@platforms//:__subpackages__",
    "@snappy//:__subpackages__",
    "@upb//:__subpackages__",
    "@zlib//:__subpackages__",
    "@dlpack//:__subpackages__",
    "@arm_neon_2_x86_sse//:__subpackages__",
    "@cpuinfo//:__subpackages__",
    "@ruy//:__subpackages__",
    "@XNNPACK//:__subpackages__",
    "@pthreadpool//:__subpackages__",

`tf.reverse_v2()` will remain until 1.0 final. * `tf.mul`, `tf.sub` and `tf.neg`
are deprecated in favor of `tf.multiply`, `tf.subtract` and `tf.negative`. *
`tf.pack` and `tf.unpack` are deprecated in favor of `tf.stack` and
`tf.unstack`. * `TensorArray.pack` and `TensorArray.unpack` are getting
deprecated in favor of `TensorArray.stack` and `TensorArray.unstack`. * The
following Python functions have had their arguments changed to use `axis` when

import okio.buffer

/**
 * Read and write HPACK v10.
 *
 * http://tools.ietf.org/html/draft-ietf-httpbis-header-compression-12
 *
 * This implementation uses an array for the dynamic table and a list for indexed entries. Dynamic
 * entries are added to the array, starting in the last position moving forward. When the array
 * fills, it is doubled.
 */
@Suppress("NAME_SHADOWING")
object Hpack {
  private const val PREFIX_4_BITS = 0x0f

on:
  push:
    tags:
      - 'v*.*.*-RC1'

permissions: {}

jobs:
  send-slack-notification:
    runs-on: ubuntu-latest
    steps:
      - name: Send Slack notification about new RCs for manual testing
        id: slack
        uses: slackapi/slack-github-action@v3.0.1
        with:
          webhook: ${{ secrets.IDE_EXPERIENCE_TEAM_SLACK_WEBHOOK_URL }}

{
    'username': 'john',
    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### Bir `dict`'i Unpack Etmek { #unpacking-a-dict }

`user_dict` gibi bir `dict` alıp bunu bir fonksiyona (ya da sınıfa) `**user_dict` ile gönderirsek, Python bunu "unpack" eder. Yani `user_dict` içindeki key ve value'ları doğrudan key-value argümanları olarak geçirir.

### Additional help

If you run into any trouble, please reach out to us on the issue you are working on.
There is a `#contributing` channel on the community Slack which you can use
to ask any questions.

## Finding issues to work on

    { include-group = "tests" },
    { include-group = "docs" },
    { include-group = "translations" },
    "playwright >=1.57.0",
    "prek >=0.2.22",
]
docs = [
    { include-group = "docs-tests" },
    "black >=25.1.0",
    "cairosvg >=2.8.2",
    # for MkDocs live reload
    "click==8.2.1",
    "griffe-typingdoc >=0.3.0",
    "griffe-warnings-deprecated >=1.1.0",
    "jieba >=0.42.1",

    'password': 'secret',
    'email': '******@****.***',
    'full_name': None,
}
```

#### `dict` 언패킹 { #unpacking-a-dict }

`user_dict`와 같은 `dict`를 함수(또는 클래스)에 `**user_dict`로 전달하면, Python은 이를 "언팩(unpack)"합니다. 이 과정에서 `user_dict`의 키와 값을 각각 키-값 인자로 직접 전달합니다.

따라서, 위에서 생성한 `user_dict`를 사용하여 다음과 같이 작성하면:

```Python
UserInDB(**user_dict)
```

다음과 같은 결과를 생성합니다:

```Python
UserInDB(
    username="john",

  private val source: BufferedSource,
  private val client: Boolean,
) : Closeable {
  private val continuation: ContinuationSource = ContinuationSource(this.source)
  private val hpackReader: Hpack.Reader =
    Hpack.Reader(
      source = continuation,
      headerTableSizeSetting = 4096,
    )

  @Throws(IOException::class)
  fun readConnectionPreface(handler: Handler) {
    if (client) {