pr = repo.get_pull(github_event.pull_request.number)
    label_strs = {label.name for label in pr.get_labels()}
    langs = []
    for label in label_strs:
        if label.startswith("lang-") and not label == lang_all_label:
            langs.append(label[5:])
    logging.info(f"PR #{pr.number} has labels: {label_strs}")
    if not langs or lang_all_label not in label_strs:

class LabelNode(BaseModel):
    name: str


class Labels(BaseModel):
    nodes: List[LabelNode]


class ReviewNode(BaseModel):
    author: Union[Author, None] = None
    state: str


class Reviews(BaseModel):
    nodes: List[ReviewNode]


class PullRequestNode(BaseModel):
    number: int
    labels: Labels
    author: Union[Author, None] = None
    title: str

            <label>Item ID: <input type="text" id="itemId" autocomplete="off" value="foo"/></label>
            <label>Token: <input type="text" id="token" autocomplete="off" value="some-key-token"/></label>
            <button onclick="connect(event)">Connect</button>
            <hr>
            <label>Message: <input type="text" id="messageText" autocomplete="off"/></label>
            <button>Send</button>
        </form>

    page = context.new_page()
    page.goto("http://localhost:8000/docs")
    page.get_by_text("GET/items/Read Items").click()
    page.get_by_role("tab", name="Schema").click()
    page.get_by_label("Schema").get_by_role("button", name="Expand all").click()
    page.screenshot(
        path="docs/en/docs/img/tutorial/separate-openapi-schemas/image03.png"
    )

    # ---------------------
    context.close()

            return res

        raise


def normalize_res(res, args):
    if not res:
        return res

    if args.ignore_labels:
        drop_keys(res, "metadata", "labels")

    if args.ignore_namespace:
        drop_keys(res, "metadata", "namespace")

    res = normalize_ports(res)

    res = normalize_configmap(res)

    return res

            <label>Item ID: <input type="text" id="itemId" autocomplete="off" value="foo"/></label>
            <label>Token: <input type="text" id="token" autocomplete="off" value="some-key-token"/></label>
            <button onclick="connect(event)">Connect</button>
            <hr>
            <label>Message: <input type="text" id="messageText" autocomplete="off"/></label>
            <button>Send</button>
        </form>

# Some tf endpoints actually lives under Keras.
_current_module.layers = _KerasLazyLoader(
    globals(),
    submodule="__internal__.legacy.layers",
    name="layers",
    mode="v1")
if _tf_uses_legacy_keras:
  _module_dir = _module_util.get_parent_dir_for_name(
      "tf_keras.api._v1.keras.__internal__.legacy.layers")
else:
  _module_dir = _module_util.get_parent_dir_for_name(

            <label>Item ID: <input type="text" id="itemId" autocomplete="off" value="foo"/></label>
            <label>Token: <input type="text" id="token" autocomplete="off" value="some-key-token"/></label>
            <button onclick="connect(event)">Connect</button>
            <hr>
            <label>Message: <input type="text" id="messageText" autocomplete="off"/></label>
            <button>Send</button>
        </form>

            <label>Item ID: <input type="text" id="itemId" autocomplete="off" value="foo"/></label>
            <label>Token: <input type="text" id="token" autocomplete="off" value="some-key-token"/></label>
            <button onclick="connect(event)">Connect</button>
            <hr>
            <label>Message: <input type="text" id="messageText" autocomplete="off"/></label>
            <button>Send</button>
        </form>

            <label>Item ID: <input type="text" id="itemId" autocomplete="off" value="foo"/></label>
            <label>Token: <input type="text" id="token" autocomplete="off" value="some-key-token"/></label>
            <button onclick="connect(event)">Connect</button>
            <hr>
            <label>Message: <input type="text" id="messageText" autocomplete="off"/></label>
            <button>Send</button>
        </form>