testCases := []struct {
		name              string
		ifMatch           string
		ifNoneMatch       string
		ifModifiedSince   string
		ifUnmodifiedSince string
		objInfo           ObjectInfo
		expectedFlag      bool
		expectedCode      int
	}{
		// If-None-Match(false) and If-Modified-Since(true)
		{
			name:            "If-None-Match1",
			ifNoneMatch:     "aa",
			ifModifiedSince: "Sun, 26 Aug 2024 02:01:00 GMT",

	DisplayName string

	JWKS struct {
		URL *xnet.URL
	}
	URL                *xnet.URL
	ClaimPrefix        string
	ClaimName          string
	ClaimUserinfo      bool
	RedirectURI        string
	RedirectURIDynamic bool
	DiscoveryDoc       DiscoveryDoc
	ClientID           string
	ClientSecret       string
	RolePolicy         string

	roleArn  arn.ARN
	provider provider.Provider
}

    responses={
        200: {
            "content": {"image/png": {}},
            "description": "Return the JSON item or an image.",
        }
    },
)
async def read_item(item_id: str, img: Union[bool, None] = None):
    if img:
        return FileResponse("image.png", media_type="image/png")
    else:

    exclude_defaults: Annotated[
        bool,
        Doc(
            """
            Pydantic's `exclude_defaults` parameter, passed to Pydantic models to define
            if it should exclude from the output the fields that had the same default
            value, even when they were explicitly set.
            """
        ),
    ] = False,
    exclude_none: Annotated[
        bool,
        Doc(
            """

from typing import Union

from fastapi import FastAPI

app = FastAPI()


@app.get("/users/{user_id}/items/{item_id}")
async def read_user_item(
    user_id: int, item_id: str, q: Union[str, None] = None, short: bool = False
):
    item = {"item_id": item_id, "owner_id": user_id}
    if q:
        item.update({"q": q})
    if not short:
        item.update(

            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>
                            <la:message key="labels.dict_stopwords_title"/>
                        </h1>
                    </div>
                    <div class="col-sm-6">
                        <ol class="breadcrumb float-sm-right">

            <div class="container-fluid">
                <div class="row mb-2">
                    <div class="col-sm-6">
                        <h1>
                            <la:message key="labels.dict_kuromoji_title"/>
                        </h1>
                    </div>
                    <div class="col-sm-6">
                        <ol class="breadcrumb float-sm-right">

	root         string     `msg:"root"`
	fileNotFound bool       `msg:"fnf"`
	status       scanStatus `msg:"stat"`
	recursive    bool       `msg:"rec"`
	dataVersion  uint8      `msg:"v"`
}

func (m *metacache) finished() bool {
	return !m.ended.IsZero()
}

// worthKeeping indicates if the cache by itself is worth keeping.
func (m *metacache) worthKeeping() bool {
	if m == nil {
		return false
	}
	cache := m

  // TODO(b/74949947): mutations currently trigger a warning instead of a bad
  // status, this should be reverted when possible.
  tensorflow::gtl::FlatMap<TF_Session*, tensorflow::string> sessions
      TF_GUARDED_BY(mu);
  bool delete_requested TF_GUARDED_BY(mu);  // set true by TF_DeleteGraph

  // Used to link graphs contained in TF_WhileParams to the parent graph that
  // will eventually contain the full while loop.
  TF_Graph* parent;

absl::Status RunAndMaybeSum(AbstractContext* ctx, Model forward,
                            absl::Span<AbstractTensorHandle* const> inputs,
                            absl::Span<AbstractTensorHandle*> outputs,
                            bool use_function) {
  AbstractTensorHandle* model_outputs[1];

  // Run the model.
  TF_RETURN_IF_ERROR(
      RunModel(forward, ctx, inputs, model_outputs, use_function));